id	sid	tid	token	lemma	pos
cana-3636	1	1	communications	communication	NOUN
cana-3636	1	2	on	on	ADP
cana-3636	1	3	applied	apply	VERB
cana-3636	1	4	nonlinear	nonlinear	ADJ
cana-3636	1	5	analysis	analysis	NOUN
cana-3636	1	6	issn	issn	NOUN
cana-3636	1	7	:	:	PUNCT
cana-3636	1	8	1074	1074	NUM
cana-3636	1	9	-	-	PUNCT
cana-3636	1	10	133x	133x	NUM
cana-3636	1	11	vol	vol	NOUN
cana-3636	1	12	32	32	NUM
cana-3636	1	13	no	no	NOUN
cana-3636	1	14	.	.	PUNCT
cana-3636	2	1	8s	8s	PROPN
cana-3636	2	2	(	(	PUNCT
cana-3636	2	3	2025	2025	NUM
cana-3636	2	4	)	)	PUNCT
cana-3636	2	5	197	197	NUM
cana-3636	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	2	7	a	a	DET
cana-3636	2	8	nonlinear	nonlinear	ADJ
cana-3636	2	9	approach	approach	NOUN
cana-3636	2	10	to	to	ADP
cana-3636	2	11	fecg	fecg	NOUN
cana-3636	2	12	signal	signal	NOUN
cana-3636	2	13	enhancement	enhancement	NOUN
cana-3636	2	14	using	use	VERB
cana-3636	2	15	an	an	DET
cana-3636	2	16	ensemble	ensemble	NOUN
cana-3636	2	17	of	of	ADP
cana-3636	2	18	convolutional	convolutional	ADJ
cana-3636	2	19	neural	neural	ADJ
cana-3636	2	20	networks	network	NOUN
cana-3636	2	21	yojana	yojana	PROPN
cana-3636	2	22	sharma1,2	sharma1,2	PROPN
cana-3636	2	23	,	,	PUNCT
cana-3636	2	24	shashwati	shashwati	NOUN
cana-3636	2	25	ray1,2†	ray1,2†	NOUN
cana-3636	2	26	,	,	PUNCT
cana-3636	2	27	surekha	surekha	ADJ
cana-3636	2	28	bhusnur2,3†	bhusnur2,3†	ADV
cana-3636	2	29	,	,	PUNCT
cana-3636	2	30	om	om	PROPN
cana-3636	2	31	prakashyadav1,2*†	prakashyadav1,2*†	NOUN
cana-3636	2	32	1	1	NUM
cana-3636	2	33	*	*	NOUN
cana-3636	2	34	department	department	NOUN
cana-3636	2	35	of	of	ADP
cana-3636	2	36	electronics	electronic	NOUN
cana-3636	2	37	and	and	CCONJ
cana-3636	2	38	telecommunication	telecommunication	NOUN
cana-3636	2	39	engineering	engineering	NOUN
cana-3636	2	40	,	,	PUNCT
cana-3636	2	41	bhilai	bhilai	PROPN
cana-3636	2	42	institute	institute	PROPN
cana-3636	2	43	of	of	ADP
cana-3636	2	44	technology	technology	PROPN
cana-3636	2	45	,	,	PUNCT
cana-3636	2	46	durg	durg	NOUN
cana-3636	2	47	,	,	PUNCT
cana-3636	2	48	491001	491001	NUM
cana-3636	2	49	,	,	PUNCT
cana-3636	2	50	chhattisgarh	chhattisgarh	PROPN
cana-3636	2	51	,	,	PUNCT
cana-3636	2	52	india	india	PROPN
cana-3636	2	53	.	.	PROPN
cana-3636	2	54	2	2	NUM
cana-3636	2	55	department	department	NOUN
cana-3636	2	56	of	of	ADP
cana-3636	2	57	electrical	electrical	ADJ
cana-3636	2	58	engineering	engineering	NOUN
cana-3636	2	59	,	,	PUNCT
cana-3636	2	60	bhilai	bhilai	PROPN
cana-3636	2	61	institute	institute	PROPN
cana-3636	2	62	of	of	ADP
cana-3636	2	63	technology	technology	PROPN
cana-3636	2	64	,	,	PUNCT
cana-3636	2	65	durg	durg	NOUN
cana-3636	2	66	,	,	PUNCT
cana-3636	2	67	491001	491001	NUM
cana-3636	2	68	,	,	PUNCT
cana-3636	2	69	chhattisgarh	chhattisgarh	PROPN
cana-3636	2	70	,	,	PUNCT
cana-3636	2	71	india	india	PROPN
cana-3636	2	72	.	.	PROPN
cana-3636	2	73	3	3	NUM
cana-3636	2	74	department	department	NOUN
cana-3636	2	75	of	of	ADP
cana-3636	2	76	electrical	electrical	ADJ
cana-3636	2	77	a	a	PRON
cana-3636	2	78	n	n	NOUN
cana-3636	2	79	d	d	PROPN
cana-3636	2	80	electronics	electronic	NOUN
cana-3636	2	81	engineering	engineering	NOUN
cana-3636	2	82	,	,	PUNCT
cana-3636	2	83	bhilai	bhilai	PROPN
cana-3636	2	84	institute	institute	PROPN
cana-3636	2	85	of	of	ADP
cana-3636	2	86	technology	technology	PROPN
cana-3636	2	87	,	,	PUNCT
cana-3636	2	88	durg	durg	NOUN
cana-3636	2	89	,	,	PUNCT
cana-3636	2	90	491001	491001	NUM
cana-3636	2	91	,	,	PUNCT
cana-3636	2	92	chhattisgarh	chhattisgarh	PROPN
cana-3636	2	93	,	,	PUNCT
cana-3636	2	94	india	india	PROPN
cana-3636	2	95	.	.	PROPN
cana-3636	2	96	4	4	NUM
cana-3636	2	97	department	department	NOUN
cana-3636	2	98	of	of	ADP
cana-3636	2	99	electronics	electronic	NOUN
cana-3636	2	100	and	and	CCONJ
cana-3636	2	101	communication	communication	NOUN
cana-3636	2	102	engineering	engineering	NOUN
cana-3636	2	103	,	,	PUNCT
cana-3636	2	104	pes	pes	PROPN
cana-3636	2	105	institute	institute	PROPN
cana-3636	2	106	of	of	ADP
cana-3636	2	107	technology	technology	NOUN
cana-3636	2	108	and	and	CCONJ
cana-3636	2	109	management	management	NOUN
cana-3636	2	110	,	,	PUNCT
cana-3636	2	111	shivamogga	shivamogga	NOUN
cana-3636	2	112	,	,	PUNCT
cana-3636	2	113	577204	577204	NUM
cana-3636	2	114	,	,	PUNCT
cana-3636	2	115	karnataka	karnataka	PROPN
cana-3636	2	116	,	,	PUNCT
cana-3636	2	117	india	india	PROPN
cana-3636	2	118	.	.	PUNCT
cana-3636	3	1	*	*	PUNCT
cana-3636	3	2	corresponding	corresponding	PROPN
cana-3636	3	3	author(s	author(s	NOUN
cana-3636	3	4	)	)	PUNCT
cana-3636	3	5	.	.	PUNCT
cana-3636	4	1	e	e	X
cana-3636	4	2	-	-	PUNCT
cana-3636	4	3	mail(s	mail(s	NOUN
cana-3636	4	4	):	):	PUNCT
cana-3636	4	5	yojana16071983@gmail.com	yojana16071983@gmail.com	X
cana-3636	4	6	;	;	PUNCT
cana-3636	4	7	contributing	contribute	VERB
cana-3636	4	8	authors	author	NOUN
cana-3636	4	9	:	:	PUNCT
cana-3636	4	10	;	;	PUNCT
cana-3636	4	11	shashwatiray@yahoo.com;s.bhusnur@bitdurg.ac.in	shashwatiray@yahoo.com;s.bhusnur@bitdurg.ac.in	X
cana-3636	4	12	;	;	PUNCT
cana-3636	4	13	omprakashelex@gmail.com	omprakashelex@gmail.com	X
cana-3636	4	14	†	†	X
cana-3636	4	15	these	these	DET
cana-3636	4	16	authors	author	NOUN
cana-3636	4	17	contributed	contribute	VERB
cana-3636	4	18	equally	equally	ADV
cana-3636	4	19	to	to	ADP
cana-3636	4	20	this	this	DET
cana-3636	4	21	work	work	NOUN
cana-3636	4	22	.	.	PUNCT
cana-3636	5	1	article	article	NOUN
cana-3636	5	2	history	history	NOUN
cana-3636	5	3	:	:	PUNCT
cana-3636	5	4	received	receive	VERB
cana-3636	5	5	:	:	PUNCT
cana-3636	5	6	26	26	NUM
cana-3636	5	7	-	-	SYM
cana-3636	5	8	10	10	NUM
cana-3636	5	9	-	-	PUNCT
cana-3636	5	10	2024	2024	NUM
cana-3636	5	11	revised	revise	VERB
cana-3636	5	12	:	:	PUNCT
cana-3636	5	13	22	22	NUM
cana-3636	5	14	-	-	SYM
cana-3636	5	15	11	11	NUM
cana-3636	5	16	-	-	PUNCT
cana-3636	5	17	2024	2024	NUM
cana-3636	5	18	accepted	accept	VERB
cana-3636	5	19	:	:	PUNCT
cana-3636	5	20	21	21	NUM
cana-3636	5	21	-	-	SYM
cana-3636	5	22	12	12	NUM
cana-3636	5	23	-	-	PUNCT
cana-3636	5	24	2024	2024	NUM
cana-3636	5	25	abstract	abstract	NOUN
cana-3636	5	26	:	:	PUNCT
cana-3636	5	27	fetal	fetal	ADJ
cana-3636	5	28	electrocardiogram	electrocardiogram	NOUN
cana-3636	5	29	(	(	PUNCT
cana-3636	5	30	fecg	fecg	NOUN
cana-3636	5	31	)	)	PUNCT
cana-3636	5	32	denoising	denoising	NOUN
cana-3636	5	33	is	be	AUX
cana-3636	5	34	a	a	DET
cana-3636	5	35	vital	vital	ADJ
cana-3636	5	36	aspect	aspect	NOUN
cana-3636	5	37	of	of	ADP
cana-3636	5	38	prenatal	prenatal	ADJ
cana-3636	5	39	monitoring	monitoring	NOUN
cana-3636	5	40	,	,	PUNCT
cana-3636	5	41	critical	critical	ADJ
cana-3636	5	42	for	for	ADP
cana-3636	5	43	precise	precise	ADJ
cana-3636	5	44	fetal	fetal	ADJ
cana-3636	5	45	health	health	NOUN
cana-3636	5	46	evaluation	evaluation	NOUN
cana-3636	5	47	.	.	PUNCT
cana-3636	6	1	while	while	SCONJ
cana-3636	6	2	convolutional	convolutional	ADJ
cana-3636	6	3	neural	neural	ADJ
cana-3636	6	4	networks	network	NOUN
cana-3636	6	5	(	(	PUNCT
cana-3636	6	6	cnns	cnns	PROPN
cana-3636	6	7	)	)	PUNCT
cana-3636	6	8	are	be	AUX
cana-3636	6	9	widely	widely	ADV
cana-3636	6	10	recognized	recognize	VERB
cana-3636	6	11	for	for	ADP
cana-3636	6	12	their	their	PRON
cana-3636	6	13	strength	strength	NOUN
cana-3636	6	14	in	in	ADP
cana-3636	6	15	processing	process	VERB
cana-3636	6	16	multidimensional	multidimensional	ADJ
cana-3636	6	17	data	datum	NOUN
cana-3636	6	18	,	,	PUNCT
cana-3636	6	19	their	their	PRON
cana-3636	6	20	adaptation	adaptation	NOUN
cana-3636	6	21	for	for	ADP
cana-3636	6	22	one	one	NUM
cana-3636	6	23	-	-	PUNCT
cana-3636	6	24	dimensional	dimensional	ADJ
cana-3636	6	25	signals	signal	NOUN
cana-3636	6	26	like	like	ADP
cana-3636	6	27	fecg	fecg	PROPN
cana-3636	6	28	remains	remain	VERB
cana-3636	6	29	an	an	DET
cana-3636	6	30	emerging	emerge	VERB
cana-3636	6	31	frontier	frontier	NOUN
cana-3636	6	32	.	.	PUNCT
cana-3636	7	1	this	this	DET
cana-3636	7	2	article	article	NOUN
cana-3636	7	3	introduces	introduce	VERB
cana-3636	7	4	a	a	DET
cana-3636	7	5	novel	novel	NOUN
cana-3636	7	6	ensemble	ensemble	ADJ
cana-3636	7	7	cnn	cnn	PROPN
cana-3636	7	8	approach	approach	NOUN
cana-3636	7	9	specifically	specifically	ADV
cana-3636	7	10	designed	design	VERB
cana-3636	7	11	to	to	PART
cana-3636	7	12	enhance	enhance	VERB
cana-3636	7	13	fecg	fecg	NOUN
cana-3636	7	14	signals	signal	NOUN
cana-3636	7	15	by	by	ADP
cana-3636	7	16	leveraging	leverage	VERB
cana-3636	7	17	cnn	cnn	PROPN
cana-3636	7	18	architectures	architecture	NOUN
cana-3636	7	19	hierarchical	hierarchical	ADJ
cana-3636	7	20	feature	feature	NOUN
cana-3636	7	21	extraction	extraction	NOUN
cana-3636	7	22	capabilities	capability	NOUN
cana-3636	7	23	.	.	PUNCT
cana-3636	8	1	extensive	extensive	ADJ
cana-3636	8	2	testing	testing	NOUN
cana-3636	8	3	on	on	ADP
cana-3636	8	4	fecg	fecg	NOUN
cana-3636	8	5	datasets	dataset	NOUN
cana-3636	8	6	with	with	ADP
cana-3636	8	7	varying	vary	VERB
cana-3636	8	8	noise	noise	NOUN
cana-3636	8	9	levels	level	NOUN
cana-3636	8	10	highlights	highlight	VERB
cana-3636	8	11	the	the	DET
cana-3636	8	12	model	model	NOUN
cana-3636	8	13	’s	’s	PART
cana-3636	8	14	robust	robust	ADJ
cana-3636	8	15	performance	performance	NOUN
cana-3636	8	16	,	,	PUNCT
cana-3636	8	17	showing	show	VERB
cana-3636	8	18	significant	significant	ADJ
cana-3636	8	19	improvements	improvement	NOUN
cana-3636	8	20	in	in	ADP
cana-3636	8	21	performance	performance	NOUN
cana-3636	8	22	metrics	metric	NOUN
cana-3636	8	23	,	,	PUNCT
cana-3636	8	24	including	include	VERB
cana-3636	8	25	signal	signal	NOUN
cana-3636	8	26	-	-	PUNCT
cana-3636	8	27	to	to	ADP
cana-3636	8	28	-	-	PUNCT
cana-3636	8	29	noise	noise	NOUN
cana-3636	8	30	ratio	ratio	NOUN
cana-3636	8	31	(	(	PUNCT
cana-3636	8	32	snr	snr	PROPN
cana-3636	8	33	)	)	PUNCT
cana-3636	8	34	and	and	CCONJ
cana-3636	8	35	mean	mean	VERB
cana-3636	8	36	squared	square	VERB
cana-3636	8	37	error	error	NOUN
cana-3636	8	38	(	(	PUNCT
cana-3636	8	39	mse	mse	NOUN
cana-3636	8	40	)	)	PUNCT
cana-3636	8	41	.	.	PUNCT
cana-3636	9	1	the	the	DET
cana-3636	9	2	ensemble	ensemble	ADJ
cana-3636	9	3	cnn	cnn	PROPN
cana-3636	9	4	approach	approach	NOUN
cana-3636	9	5	excels	excel	NOUN
cana-3636	9	6	at	at	ADP
cana-3636	9	7	isolating	isolate	VERB
cana-3636	9	8	fecg	fecg	NOUN
cana-3636	9	9	components	component	NOUN
cana-3636	9	10	from	from	ADP
cana-3636	9	11	noise	noise	NOUN
cana-3636	9	12	,	,	PUNCT
cana-3636	9	13	achieving	achieve	VERB
cana-3636	9	14	enhanced	enhanced	ADJ
cana-3636	9	15	signal	signal	NOUN
cana-3636	9	16	clarity	clarity	NOUN
cana-3636	9	17	and	and	CCONJ
cana-3636	9	18	fidelity	fidelity	NOUN
cana-3636	9	19	.	.	PUNCT
cana-3636	10	1	these	these	DET
cana-3636	10	2	finding	finding	NOUN
cana-3636	10	3	reveal	reveal	VERB
cana-3636	10	4	the	the	DET
cana-3636	10	5	promising	promising	ADJ
cana-3636	10	6	potential	potential	NOUN
cana-3636	10	7	of	of	ADP
cana-3636	10	8	ensemble	ensemble	ADJ
cana-3636	10	9	cnn	cnn	PROPN
cana-3636	10	10	-	-	PUNCT
cana-3636	10	11	based	base	VERB
cana-3636	10	12	techniques	technique	NOUN
cana-3636	10	13	to	to	PART
cana-3636	10	14	advance	advance	VERB
cana-3636	10	15	fecg	fecg	PROPN
cana-3636	10	16	denoising	denoising	NOUN
cana-3636	10	17	,	,	PUNCT
cana-3636	10	18	thereby	thereby	ADV
cana-3636	10	19	enhancing	enhance	VERB
cana-3636	10	20	the	the	DET
cana-3636	10	21	accuracy	accuracy	NOUN
cana-3636	10	22	of	of	ADP
cana-3636	10	23	fetal	fetal	ADJ
cana-3636	10	24	health	health	NOUN
cana-3636	10	25	assessments	assessment	NOUN
cana-3636	10	26	in	in	ADP
cana-3636	10	27	clinical	clinical	ADJ
cana-3636	10	28	applications	application	NOUN
cana-3636	10	29	.	.	PUNCT
cana-3636	11	1	keywords	keyword	NOUN
cana-3636	11	2	:	:	PUNCT
cana-3636	11	3	fecg	fecg	NOUN
cana-3636	11	4	,	,	PUNCT
cana-3636	11	5	machine	machine	NOUN
cana-3636	11	6	learning	learning	NOUN
cana-3636	11	7	,	,	PUNCT
cana-3636	11	8	convolutional	convolutional	ADJ
cana-3636	11	9	neural	neural	ADJ
cana-3636	11	10	networks	network	NOUN
cana-3636	11	11	,	,	PUNCT
cana-3636	11	12	ensemble	ensemble	ADJ
cana-3636	11	13	of	of	ADP
cana-3636	11	14	cnn	cnn	PROPN
cana-3636	11	15	,	,	PUNCT
cana-3636	11	16	root	root	NOUN
cana-3636	11	17	mean	mean	VERB
cana-3636	11	18	square	square	NOUN
cana-3636	11	19	error	error	NOUN
cana-3636	11	20	,	,	PUNCT
cana-3636	11	21	peak	peak	NOUN
cana-3636	11	22	signal	signal	NOUN
cana-3636	11	23	to	to	PART
cana-3636	11	24	noise	noise	NOUN
cana-3636	11	25	ratio	ratio	NOUN
cana-3636	11	26	,	,	PUNCT
cana-3636	11	27	signal	signal	VERB
cana-3636	11	28	to	to	PART
cana-3636	11	29	noise	noise	VERB
cana-3636	11	30	ratio	ratio	NOUN
cana-3636	11	31	.	.	PUNCT
cana-3636	12	1	1	1	NUM
cana-3636	12	2	introduction	introduction	NOUN
cana-3636	12	3	fecg	fecg	NOUN
cana-3636	12	4	is	be	AUX
cana-3636	12	5	a	a	DET
cana-3636	12	6	specialized	specialized	ADJ
cana-3636	12	7	procedure	procedure	NOUN
cana-3636	12	8	that	that	PRON
cana-3636	12	9	makes	make	VERB
cana-3636	12	10	it	it	PRON
cana-3636	12	11	possible	possible	ADJ
cana-3636	12	12	to	to	PART
cana-3636	12	13	monitor	monitor	VERB
cana-3636	12	14	the	the	DET
cana-3636	12	15	heart	heart	NOUN
cana-3636	12	16	rate	rate	NOUN
cana-3636	12	17	and	and	CCONJ
cana-3636	12	18	rhythm	rhythm	NOUN
cana-3636	12	19	of	of	ADP
cana-3636	12	20	the	the	DET
cana-3636	12	21	fetus	fetus	NOUN
cana-3636	12	22	.	.	PUNCT
cana-3636	13	1	it	it	PRON
cana-3636	13	2	provides	provide	VERB
cana-3636	13	3	vital	vital	ADJ
cana-3636	13	4	information	information	NOUN
cana-3636	13	5	about	about	ADP
cana-3636	13	6	the	the	DET
cana-3636	13	7	health	health	NOUN
cana-3636	13	8	of	of	ADP
cana-3636	13	9	the	the	DET
cana-3636	13	10	fetus	fetus	NOUN
cana-3636	13	11	,	,	PUNCT
cana-3636	13	12	including	include	VERB
cana-3636	13	13	heart	heart	NOUN
cana-3636	13	14	rate	rate	NOUN
cana-3636	13	15	,	,	PUNCT
cana-3636	13	16	waveform	waveform	NOUN
cana-3636	13	17	,	,	PUNCT
cana-3636	13	18	growth	growth	NOUN
cana-3636	13	19	,	,	PUNCT
cana-3636	13	20	maturity	maturity	NOUN
cana-3636	13	21	,	,	PUNCT
cana-3636	13	22	and	and	CCONJ
cana-3636	13	23	any	any	DET
cana-3636	13	24	congenital	congenital	ADJ
cana-3636	13	25	heart	heart	NOUN
cana-3636	13	26	problems	problem	NOUN
cana-3636	13	27	.	.	PUNCT
cana-3636	14	1	healthcare	healthcare	NOUN
cana-3636	14	2	professionals	professional	NOUN
cana-3636	14	3	can	can	AUX
cana-3636	14	4	obtain	obtain	VERB
cana-3636	14	5	comprehensive	comprehensive	ADJ
cana-3636	14	6	knowledge	knowledge	NOUN
cana-3636	14	7	about	about	ADP
cana-3636	14	8	fetal	fetal	ADJ
cana-3636	14	9	development	development	NOUN
cana-3636	14	10	and	and	CCONJ
cana-3636	14	11	identify	identify	VERB
cana-3636	14	12	early	early	ADJ
cana-3636	14	13	indications	indication	NOUN
cana-3636	14	14	of	of	ADP
cana-3636	14	15	cardiac	cardiac	ADJ
cana-3636	14	16	problems	problem	NOUN
cana-3636	14	17	with	with	ADP
cana-3636	14	18	the	the	DET
cana-3636	14	19	use	use	NOUN
cana-3636	14	20	of	of	ADP
cana-3636	14	21	fecg	fecg	NOUN
cana-3636	14	22	[	[	X
cana-3636	14	23	1–3	1–3	NOUN
cana-3636	14	24	]	]	X
cana-3636	14	25	.	.	PUNCT
cana-3636	15	1	however	however	ADV
cana-3636	15	2	,	,	PUNCT
cana-3636	15	3	noise	noise	NOUN
cana-3636	15	4	frequently	frequently	ADV
cana-3636	15	5	taints	taint	VERB
cana-3636	15	6	fecg	fecg	NOUN
cana-3636	15	7	signals	signal	NOUN
cana-3636	15	8	during	during	ADP
cana-3636	15	9	capture	capture	NOUN
cana-3636	15	10	,	,	PUNCT
cana-3636	15	11	masking	mask	VERB
cana-3636	15	12	the	the	DET
cana-3636	15	13	useful	useful	ADJ
cana-3636	15	14	diagnostic	diagnostic	ADJ
cana-3636	15	15	information	information	NOUN
cana-3636	15	16	they	they	PRON
cana-3636	15	17	carry	carry	VERB
cana-3636	15	18	.	.	PUNCT
cana-3636	16	1	thus	thus	ADV
cana-3636	16	2	,	,	PUNCT
cana-3636	16	3	denoising	denoise	VERB
cana-3636	16	4	techniques	technique	NOUN
cana-3636	16	5	are	be	AUX
cana-3636	16	6	crucial	crucial	ADJ
cana-3636	16	7	for	for	ADP
cana-3636	16	8	improving	improve	VERB
cana-3636	16	9	the	the	DET
cana-3636	16	10	quality	quality	NOUN
cana-3636	16	11	of	of	ADP
cana-3636	16	12	fecg	fecg	NOUN
cana-3636	16	13	signals	signal	NOUN
cana-3636	16	14	,	,	PUNCT
cana-3636	16	15	which	which	PRON
cana-3636	16	16	in	in	ADP
cana-3636	16	17	turn	turn	NOUN
cana-3636	16	18	enhances	enhance	VERB
cana-3636	16	19	diagnostic	diagnostic	ADJ
cana-3636	16	20	precision	precision	NOUN
cana-3636	16	21	by	by	ADP
cana-3636	16	22	enabling	enable	VERB
cana-3636	16	23	better	well	ADJ
cana-3636	16	24	interpretation	interpretation	NOUN
cana-3636	16	25	and	and	CCONJ
cana-3636	16	26	more	more	ADV
cana-3636	16	27	accurate	accurate	ADJ
cana-3636	16	28	assessments	assessment	NOUN
cana-3636	16	29	of	of	ADP
cana-3636	16	30	fetal	fetal	ADJ
cana-3636	16	31	health	health	NOUN
cana-3636	16	32	[	[	X
cana-3636	16	33	4	4	NUM
cana-3636	16	34	,	,	PUNCT
cana-3636	16	35	5	5	NUM
cana-3636	16	36	]	]	PUNCT
cana-3636	16	37	.	.	PUNCT
cana-3636	17	1	mailto:omprakashelex@gmail.com	mailto:omprakashelex@gmail.com	X
cana-3636	18	1	mailto:yojana16071983@gmail.com	mailto:yojana16071983@gmail.com	NOUN
cana-3636	18	2	communications	communication	NOUN
cana-3636	18	3	on	on	ADP
cana-3636	18	4	applied	apply	VERB
cana-3636	18	5	nonlinear	nonlinear	ADJ
cana-3636	18	6	analysis	analysis	NOUN
cana-3636	18	7	issn	issn	NOUN
cana-3636	18	8	:	:	PUNCT
cana-3636	18	9	1074	1074	NUM
cana-3636	18	10	-	-	PUNCT
cana-3636	18	11	133x	133x	NUM
cana-3636	18	12	vol	vol	NOUN
cana-3636	18	13	32	32	NUM
cana-3636	18	14	no	no	NOUN
cana-3636	18	15	.	.	PUNCT
cana-3636	19	1	8s	8s	PROPN
cana-3636	19	2	(	(	PUNCT
cana-3636	19	3	2025	2025	NUM
cana-3636	19	4	)	)	PUNCT
cana-3636	19	5	198	198	NUM
cana-3636	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	19	7	the	the	DET
cana-3636	19	8	ability	ability	NOUN
cana-3636	19	9	of	of	ADP
cana-3636	19	10	machine	machine	NOUN
cana-3636	19	11	learning	learning	NOUN
cana-3636	19	12	(	(	PUNCT
cana-3636	19	13	ml	ml	NOUN
cana-3636	19	14	)	)	PUNCT
cana-3636	19	15	algorithms	algorithm	NOUN
cana-3636	19	16	to	to	PART
cana-3636	19	17	recognize	recognize	VERB
cana-3636	19	18	patterns	pattern	NOUN
cana-3636	19	19	in	in	ADP
cana-3636	19	20	biological	biological	ADJ
cana-3636	19	21	signals	signal	NOUN
cana-3636	19	22	has	have	AUX
cana-3636	19	23	been	be	AUX
cana-3636	19	24	demonstrated	demonstrate	VERB
cana-3636	19	25	to	to	PART
cana-3636	19	26	be	be	AUX
cana-3636	19	27	quite	quite	ADV
cana-3636	19	28	successful	successful	ADJ
cana-3636	19	29	.	.	PUNCT
cana-3636	20	1	ml	ml	ADP
cana-3636	20	2	algorithms	algorithms	PROPN
cana-3636	20	3	'	'	PART
cana-3636	20	4	capacity	capacity	NOUN
cana-3636	20	5	to	to	PART
cana-3636	20	6	adjust	adjust	VERB
cana-3636	20	7	to	to	ADP
cana-3636	20	8	new	new	ADJ
cana-3636	20	9	input	input	NOUN
cana-3636	20	10	across	across	ADP
cana-3636	20	11	several	several	ADJ
cana-3636	20	12	iterations	iteration	NOUN
cana-3636	20	13	,	,	PUNCT
cana-3636	20	14	producing	produce	VERB
cana-3636	20	15	accurate	accurate	ADJ
cana-3636	20	16	and	and	CCONJ
cana-3636	20	17	reliable	reliable	ADJ
cana-3636	20	18	outputs	output	NOUN
cana-3636	20	19	,	,	PUNCT
cana-3636	20	20	is	be	AUX
cana-3636	20	21	one	one	NUM
cana-3636	20	22	of	of	ADP
cana-3636	20	23	its	its	PRON
cana-3636	20	24	main	main	ADJ
cana-3636	20	25	advantages	advantage	NOUN
cana-3636	20	26	[	[	X
cana-3636	20	27	6	6	NUM
cana-3636	20	28	]	]	PUNCT
cana-3636	20	29	.	.	PUNCT
cana-3636	21	1	when	when	SCONJ
cana-3636	21	2	processing	process	VERB
cana-3636	21	3	noisy	noisy	ADJ
cana-3636	21	4	fecg	fecg	PROPN
cana-3636	21	5	data	datum	NOUN
cana-3636	21	6	,	,	PUNCT
cana-3636	21	7	this	this	DET
cana-3636	21	8	flexibility	flexibility	NOUN
cana-3636	21	9	is	be	AUX
cana-3636	21	10	especially	especially	ADV
cana-3636	21	11	helpful	helpful	ADJ
cana-3636	21	12	since	since	SCONJ
cana-3636	21	13	it	it	PRON
cana-3636	21	14	allows	allow	VERB
cana-3636	21	15	ml	ml	INTJ
cana-3636	21	16	approaches	approach	NOUN
cana-3636	21	17	to	to	PART
cana-3636	21	18	be	be	AUX
cana-3636	21	19	optimized	optimize	VERB
cana-3636	21	20	for	for	ADP
cana-3636	21	21	denoising	denoise	VERB
cana-3636	21	22	performance	performance	NOUN
cana-3636	21	23	,	,	PUNCT
cana-3636	21	24	which	which	PRON
cana-3636	21	25	leads	lead	VERB
cana-3636	21	26	to	to	ADP
cana-3636	21	27	more	more	ADV
cana-3636	21	28	dependable	dependable	ADJ
cana-3636	21	29	fetal	fetal	ADJ
cana-3636	21	30	monitoring	monitoring	NOUN
cana-3636	21	31	and	and	CCONJ
cana-3636	21	32	diagnostic	diagnostic	ADJ
cana-3636	21	33	results	result	NOUN
cana-3636	21	34	.	.	PUNCT
cana-3636	22	1	deep	deep	ADJ
cana-3636	22	2	learning	learning	NOUN
cana-3636	22	3	(	(	PUNCT
cana-3636	22	4	dl	dl	PROPN
cana-3636	22	5	)	)	PUNCT
cana-3636	22	6	,	,	PUNCT
cana-3636	22	7	a	a	DET
cana-3636	22	8	potent	potent	ADJ
cana-3636	22	9	subset	subset	NOUN
cana-3636	22	10	of	of	ADP
cana-3636	22	11	ml	ml	ADP
cana-3636	22	12	algorithms	algorithm	NOUN
cana-3636	22	13	,	,	PUNCT
cana-3636	22	14	is	be	AUX
cana-3636	22	15	excellent	excellent	ADJ
cana-3636	22	16	at	at	ADP
cana-3636	22	17	automatically	automatically	ADV
cana-3636	22	18	identifying	identify	VERB
cana-3636	22	19	intricate	intricate	ADJ
cana-3636	22	20	relationships	relationship	NOUN
cana-3636	22	21	and	and	CCONJ
cana-3636	22	22	patterns	pattern	NOUN
cana-3636	22	23	in	in	ADP
cana-3636	22	24	data	datum	NOUN
cana-3636	22	25	,	,	PUNCT
cana-3636	22	26	doing	do	VERB
cana-3636	22	27	away	away	ADV
cana-3636	22	28	with	with	ADP
cana-3636	22	29	the	the	DET
cana-3636	22	30	requirement	requirement	NOUN
cana-3636	22	31	for	for	ADP
cana-3636	22	32	human	human	ADJ
cana-3636	22	33	feature	feature	NOUN
cana-3636	22	34	extraction	extraction	NOUN
cana-3636	22	35	.	.	PUNCT
cana-3636	23	1	dl	dl	PROPN
cana-3636	23	2	architectures	architecture	NOUN
cana-3636	23	3	are	be	AUX
cana-3636	23	4	especially	especially	ADV
cana-3636	23	5	well	well	ADV
cana-3636	23	6	-	-	PUNCT
cana-3636	23	7	suited	suit	VERB
cana-3636	23	8	for	for	ADP
cana-3636	23	9	biomedical	biomedical	ADJ
cana-3636	23	10	applications	application	NOUN
cana-3636	23	11	,	,	PUNCT
cana-3636	23	12	where	where	SCONJ
cana-3636	23	13	big	big	ADJ
cana-3636	23	14	and	and	CCONJ
cana-3636	23	15	unstructured	unstructured	ADJ
cana-3636	23	16	datasets	dataset	NOUN
cana-3636	23	17	are	be	AUX
cana-3636	23	18	typical	typical	ADJ
cana-3636	23	19	,	,	PUNCT
cana-3636	23	20	and	and	CCONJ
cana-3636	23	21	are	be	AUX
cana-3636	23	22	inspired	inspire	VERB
cana-3636	23	23	by	by	ADP
cana-3636	23	24	human	human	ADJ
cana-3636	23	25	cognitive	cognitive	ADJ
cana-3636	23	26	processing	processing	NOUN
cana-3636	23	27	.	.	PUNCT
cana-3636	24	1	in	in	ADP
cana-3636	24	2	contrast	contrast	NOUN
cana-3636	24	3	to	to	ADP
cana-3636	24	4	typical	typical	ADJ
cana-3636	24	5	ml	ml	NOUN
cana-3636	24	6	models	model	NOUN
cana-3636	24	7	,	,	PUNCT
cana-3636	24	8	dl	dl	PROPN
cana-3636	24	9	models	model	NOUN
cana-3636	24	10	are	be	AUX
cana-3636	24	11	able	able	ADJ
cana-3636	24	12	to	to	PART
cana-3636	24	13	achieve	achieve	VERB
cana-3636	24	14	high	high	ADJ
cana-3636	24	15	accuracy	accuracy	NOUN
cana-3636	24	16	in	in	ADP
cana-3636	24	17	challenging	challenging	ADJ
cana-3636	24	18	tasks	task	NOUN
cana-3636	24	19	and	and	CCONJ
cana-3636	24	20	frequently	frequently	ADV
cana-3636	24	21	outperform	outperform	ADJ
cana-3636	24	22	classic	classic	ADJ
cana-3636	24	23	ml	ml	NOUN
cana-3636	24	24	techniques	technique	NOUN
cana-3636	24	25	in	in	ADP
cana-3636	24	26	terms	term	NOUN
cana-3636	24	27	of	of	ADP
cana-3636	24	28	predictive	predictive	ADJ
cana-3636	24	29	power	power	NOUN
cana-3636	24	30	when	when	SCONJ
cana-3636	24	31	working	work	VERB
cana-3636	24	32	with	with	ADP
cana-3636	24	33	large	large	ADJ
cana-3636	24	34	,	,	PUNCT
cana-3636	24	35	diverse	diverse	ADJ
cana-3636	24	36	datasets	dataset	NOUN
cana-3636	25	1	[	[	X
cana-3636	25	2	7–10	7–10	X
cana-3636	25	3	]	]	PUNCT
cana-3636	25	4	.	.	PUNCT
cana-3636	26	1	cnn	cnn	PROPN
cana-3636	26	2	is	be	AUX
cana-3636	26	3	a	a	DET
cana-3636	26	4	well	well	ADV
cana-3636	26	5	-	-	PUNCT
cana-3636	26	6	known	know	VERB
cana-3636	26	7	dl	dl	PROPN
cana-3636	26	8	model	model	NOUN
cana-3636	26	9	that	that	PRON
cana-3636	26	10	is	be	AUX
cana-3636	26	11	fundamental	fundamental	ADJ
cana-3636	26	12	to	to	ADP
cana-3636	26	13	image	image	NOUN
cana-3636	26	14	processing	processing	NOUN
cana-3636	26	15	because	because	SCONJ
cana-3636	26	16	of	of	ADP
cana-3636	26	17	its	its	PRON
cana-3636	26	18	strong	strong	ADJ
cana-3636	26	19	feature	feature	NOUN
cana-3636	26	20	extraction	extraction	NOUN
cana-3636	26	21	capabilities	capability	NOUN
cana-3636	26	22	.	.	PUNCT
cana-3636	27	1	cnns	cnn	NOUN
cana-3636	27	2	are	be	AUX
cana-3636	27	3	typically	typically	ADV
cana-3636	27	4	used	use	VERB
cana-3636	27	5	to	to	PART
cana-3636	27	6	process	process	VERB
cana-3636	27	7	two	two	NUM
cana-3636	27	8	-	-	PUNCT
cana-3636	27	9	dimensional	dimensional	ADJ
cana-3636	27	10	picture	picture	NOUN
cana-3636	27	11	data	datum	NOUN
cana-3636	27	12	,	,	PUNCT
cana-3636	27	13	but	but	CCONJ
cana-3636	27	14	by	by	ADP
cana-3636	27	15	modifying	modify	VERB
cana-3636	27	16	their	their	PRON
cana-3636	27	17	architectures	architecture	NOUN
cana-3636	27	18	appropriately	appropriately	ADV
cana-3636	27	19	,	,	PUNCT
cana-3636	27	20	they	they	PRON
cana-3636	27	21	can	can	AUX
cana-3636	27	22	also	also	ADV
cana-3636	27	23	handle	handle	VERB
cana-3636	27	24	one	one	NUM
cana-3636	27	25	dimensional	dimensional	ADJ
cana-3636	27	26	(	(	PUNCT
cana-3636	27	27	1d	1d	NUM
cana-3636	27	28	)	)	PUNCT
cana-3636	27	29	data	datum	NOUN
cana-3636	27	30	,	,	PUNCT
cana-3636	27	31	such	such	ADJ
cana-3636	27	32	fecg	fecg	NOUN
cana-3636	27	33	signals	signal	NOUN
cana-3636	27	34	,	,	PUNCT
cana-3636	27	35	with	with	ADP
cana-3636	27	36	remarkable	remarkable	ADJ
cana-3636	27	37	effectiveness	effectiveness	NOUN
cana-3636	27	38	[	[	X
cana-3636	27	39	11	11	NUM
cana-3636	27	40	,	,	PUNCT
cana-3636	27	41	12	12	NUM
cana-3636	27	42	]	]	PUNCT
cana-3636	27	43	.	.	PUNCT
cana-3636	28	1	because	because	SCONJ
cana-3636	28	2	of	of	ADP
cana-3636	28	3	their	their	PRON
cana-3636	28	4	adaptability	adaptability	NOUN
cana-3636	28	5	,	,	PUNCT
cana-3636	28	6	cnns	cnn	NOUN
cana-3636	28	7	are	be	AUX
cana-3636	28	8	especially	especially	ADV
cana-3636	28	9	well	well	ADV
cana-3636	28	10	-	-	PUNCT
cana-3636	28	11	suited	suit	VERB
cana-3636	28	12	for	for	ADP
cana-3636	28	13	fecg	fecg	NOUN
cana-3636	28	14	signal	signal	NOUN
cana-3636	28	15	analysis	analysis	NOUN
cana-3636	28	16	,	,	PUNCT
cana-3636	28	17	where	where	SCONJ
cana-3636	28	18	noise	noise	NOUN
cana-3636	28	19	masks	mask	NOUN
cana-3636	28	20	important	important	ADJ
cana-3636	28	21	diagnostic	diagnostic	ADJ
cana-3636	28	22	data	datum	NOUN
cana-3636	28	23	.	.	PUNCT
cana-3636	29	1	it	it	PRON
cana-3636	29	2	is	be	AUX
cana-3636	29	3	well	well	ADV
cana-3636	29	4	known	know	VERB
cana-3636	29	5	that	that	SCONJ
cana-3636	29	6	ensemble	ensemble	ADJ
cana-3636	29	7	methods	method	NOUN
cana-3636	29	8	(	(	PUNCT
cana-3636	29	9	em	em	PRON
cana-3636	29	10	)	)	PUNCT
cana-3636	29	11	in	in	ADP
cana-3636	29	12	ml	ml	ADP
cana-3636	29	13	,	,	PUNCT
cana-3636	29	14	which	which	PRON
cana-3636	29	15	integrate	integrate	VERB
cana-3636	29	16	predictions	prediction	NOUN
cana-3636	29	17	from	from	ADP
cana-3636	29	18	several	several	ADJ
cana-3636	29	19	models	model	NOUN
cana-3636	29	20	,	,	PUNCT
cana-3636	29	21	increase	increase	VERB
cana-3636	29	22	accuracy	accuracy	NOUN
cana-3636	29	23	and	and	CCONJ
cana-3636	29	24	dependability	dependability	NOUN
cana-3636	29	25	in	in	ADP
cana-3636	29	26	a	a	DET
cana-3636	29	27	variety	variety	NOUN
cana-3636	29	28	of	of	ADP
cana-3636	29	29	applications	application	NOUN
cana-3636	29	30	[	[	X
cana-3636	29	31	13	13	NUM
cana-3636	29	32	]	]	PUNCT
cana-3636	29	33	.	.	PUNCT
cana-3636	30	1	ensembles	ensemble	NOUN
cana-3636	30	2	improve	improve	VERB
cana-3636	30	3	generalization	generalization	NOUN
cana-3636	30	4	,	,	PUNCT
cana-3636	30	5	decrease	decrease	NOUN
cana-3636	30	6	overfitting	overfitte	VERB
cana-3636	30	7	,	,	PUNCT
cana-3636	30	8	and	and	CCONJ
cana-3636	30	9	boost	boost	VERB
cana-3636	30	10	resilience	resilience	NOUN
cana-3636	30	11	to	to	PART
cana-3636	30	12	noise	noise	NOUN
cana-3636	30	13	and	and	CCONJ
cana-3636	30	14	outliers	outlier	NOUN
cana-3636	30	15	by	by	ADP
cana-3636	30	16	combining	combine	VERB
cana-3636	30	17	various	various	ADJ
cana-3636	30	18	model	model	NOUN
cana-3636	30	19	predictions	prediction	NOUN
cana-3636	30	20	.	.	PUNCT
cana-3636	31	1	in	in	ADP
cana-3636	31	2	fecg	fecg	PROPN
cana-3636	31	3	denoising	denoising	NOUN
cana-3636	31	4	,	,	PUNCT
cana-3636	31	5	where	where	SCONJ
cana-3636	31	6	precision	precision	NOUN
cana-3636	31	7	is	be	AUX
cana-3636	31	8	crucial	crucial	ADJ
cana-3636	31	9	for	for	ADP
cana-3636	31	10	evaluating	evaluate	VERB
cana-3636	31	11	fetal	fetal	ADJ
cana-3636	31	12	health	health	NOUN
cana-3636	31	13	,	,	PUNCT
cana-3636	31	14	this	this	DET
cana-3636	31	15	method	method	NOUN
cana-3636	31	16	is	be	AUX
cana-3636	31	17	advantageous	advantageous	ADJ
cana-3636	31	18	.	.	PUNCT
cana-3636	32	1	by	by	ADP
cana-3636	32	2	utilizing	utilize	VERB
cana-3636	32	3	each	each	DET
cana-3636	32	4	model	model	NOUN
cana-3636	32	5	's	's	PART
cana-3636	32	6	distinct	distinct	ADJ
cana-3636	32	7	interpretation	interpretation	NOUN
cana-3636	32	8	of	of	ADP
cana-3636	32	9	the	the	DET
cana-3636	32	10	data	datum	NOUN
cana-3636	32	11	,	,	PUNCT
cana-3636	32	12	ensemble	ensemble	ADJ
cana-3636	32	13	approaches	approach	NOUN
cana-3636	32	14	reduce	reduce	VERB
cana-3636	32	15	bias	bias	NOUN
cana-3636	32	16	and	and	CCONJ
cana-3636	32	17	variation	variation	NOUN
cana-3636	32	18	by	by	ADP
cana-3636	32	19	identifying	identify	VERB
cana-3636	32	20	intricate	intricate	ADJ
cana-3636	32	21	patterns	pattern	NOUN
cana-3636	32	22	that	that	SCONJ
cana-3636	32	23	individual	individual	ADJ
cana-3636	32	24	models	model	NOUN
cana-3636	32	25	might	might	AUX
cana-3636	32	26	overlook	overlook	VERB
cana-3636	32	27	[	[	X
cana-3636	32	28	14–16	14–16	NUM
cana-3636	32	29	]	]	PUNCT
cana-3636	32	30	.	.	PUNCT
cana-3636	33	1	in	in	ADP
cana-3636	33	2	order	order	NOUN
cana-3636	33	3	to	to	PART
cana-3636	33	4	enhance	enhance	VERB
cana-3636	33	5	the	the	DET
cana-3636	33	6	denoising	denoising	NOUN
cana-3636	33	7	of	of	ADP
cana-3636	33	8	fecg	fecg	NOUN
cana-3636	33	9	signals	signal	NOUN
cana-3636	33	10	that	that	PRON
cana-3636	33	11	have	have	AUX
cana-3636	33	12	been	be	AUX
cana-3636	33	13	tainted	taint	VERB
cana-3636	33	14	by	by	ADP
cana-3636	33	15	noise	noise	NOUN
cana-3636	33	16	during	during	ADP
cana-3636	33	17	acquisition	acquisition	NOUN
cana-3636	33	18	,	,	PUNCT
cana-3636	33	19	this	this	DET
cana-3636	33	20	article	article	NOUN
cana-3636	33	21	presents	present	VERB
cana-3636	33	22	a	a	DET
cana-3636	33	23	novel	novel	ADJ
cana-3636	33	24	ensemble	ensemble	ADJ
cana-3636	33	25	cnn	cnn	PROPN
cana-3636	33	26	technique	technique	NOUN
cana-3636	33	27	.	.	PUNCT
cana-3636	34	1	the	the	DET
cana-3636	34	2	model	model	NOUN
cana-3636	34	3	gains	gain	VERB
cana-3636	34	4	better	well	ADJ
cana-3636	34	5	signal	signal	NOUN
cana-3636	34	6	integrity	integrity	NOUN
cana-3636	34	7	and	and	CCONJ
cana-3636	34	8	improves	improve	VERB
cana-3636	34	9	feature	feature	NOUN
cana-3636	34	10	extraction	extraction	NOUN
cana-3636	34	11	by	by	ADP
cana-3636	34	12	merging	merge	VERB
cana-3636	34	13	several	several	ADJ
cana-3636	34	14	cnn	cnn	PROPN
cana-3636	34	15	architectures	architecture	NOUN
cana-3636	34	16	.	.	PUNCT
cana-3636	35	1	extensive	extensive	ADJ
cana-3636	35	2	testing	testing	NOUN
cana-3636	35	3	on	on	ADP
cana-3636	35	4	fecg	fecg	NOUN
cana-3636	35	5	datasets	dataset	NOUN
cana-3636	35	6	with	with	ADP
cana-3636	35	7	varying	vary	VERB
cana-3636	35	8	noise	noise	NOUN
cana-3636	35	9	levels	level	NOUN
cana-3636	35	10	demonstrates	demonstrate	VERB
cana-3636	35	11	the	the	DET
cana-3636	35	12	model	model	NOUN
cana-3636	35	13	's	's	PART
cana-3636	35	14	superior	superior	ADJ
cana-3636	35	15	performance	performance	NOUN
cana-3636	35	16	,	,	PUNCT
cana-3636	35	17	highlighting	highlight	VERB
cana-3636	35	18	the	the	DET
cana-3636	35	19	potential	potential	NOUN
cana-3636	35	20	of	of	ADP
cana-3636	35	21	ensemble	ensemble	ADJ
cana-3636	35	22	cnns	cnn	NOUN
cana-3636	35	23	to	to	PART
cana-3636	35	24	transform	transform	VERB
cana-3636	35	25	fecg	fecg	NOUN
cana-3636	35	26	denoising	denoise	VERB
cana-3636	35	27	through	through	ADP
cana-3636	35	28	notable	notable	ADJ
cana-3636	35	29	gains	gain	NOUN
cana-3636	35	30	in	in	ADP
cana-3636	35	31	mean	mean	NOUN
cana-3636	35	32	squared	square	VERB
cana-3636	35	33	error	error	NOUN
cana-3636	35	34	(	(	PUNCT
cana-3636	35	35	mse	mse	NOUN
cana-3636	35	36	)	)	PUNCT
cana-3636	35	37	and	and	CCONJ
cana-3636	35	38	signal	signal	NOUN
cana-3636	35	39	-	-	PUNCT
cana-3636	35	40	to	to	ADP
cana-3636	35	41	-	-	PUNCT
cana-3636	35	42	noise	noise	NOUN
cana-3636	35	43	ratio	ratio	NOUN
cana-3636	35	44	(	(	PUNCT
cana-3636	35	45	snr	snr	PROPN
cana-3636	35	46	)	)	PUNCT
cana-3636	35	47	.	.	PUNCT
cana-3636	36	1	this	this	DET
cana-3636	36	2	development	development	NOUN
cana-3636	36	3	in	in	ADP
cana-3636	36	4	fecg	fecg	NOUN
cana-3636	36	5	signal	signal	NOUN
cana-3636	36	6	processing	processing	NOUN
cana-3636	36	7	has	have	VERB
cana-3636	36	8	the	the	DET
cana-3636	36	9	potential	potential	NOUN
cana-3636	36	10	to	to	PART
cana-3636	36	11	improve	improve	VERB
cana-3636	36	12	fetal	fetal	ADJ
cana-3636	36	13	health	health	NOUN
cana-3636	36	14	evaluations	evaluation	NOUN
cana-3636	36	15	,	,	PUNCT
cana-3636	36	16	which	which	PRON
cana-3636	36	17	makes	make	VERB
cana-3636	36	18	it	it	PRON
cana-3636	36	19	a	a	DET
cana-3636	36	20	useful	useful	ADJ
cana-3636	36	21	tool	tool	NOUN
cana-3636	36	22	in	in	ADP
cana-3636	36	23	clinical	clinical	ADJ
cana-3636	36	24	situations	situation	NOUN
cana-3636	36	25	where	where	SCONJ
cana-3636	36	26	accuracy	accuracy	NOUN
cana-3636	36	27	and	and	CCONJ
cana-3636	36	28	dependability	dependability	NOUN
cana-3636	36	29	are	be	AUX
cana-3636	36	30	crucial	crucial	ADJ
cana-3636	36	31	.	.	PUNCT
cana-3636	37	1	2	2	X
cana-3636	37	2	.	.	X
cana-3636	37	3	related	relate	VERB
cana-3636	37	4	literature	literature	NOUN
cana-3636	37	5	because	because	SCONJ
cana-3636	37	6	fecg	fecg	NOUN
cana-3636	37	7	signal	signal	VERB
cana-3636	37	8	analysis	analysis	NOUN
cana-3636	37	9	is	be	AUX
cana-3636	37	10	essential	essential	ADJ
cana-3636	37	11	for	for	ADP
cana-3636	37	12	evaluating	evaluate	VERB
cana-3636	37	13	fetal	fetal	ADJ
cana-3636	37	14	health	health	NOUN
cana-3636	37	15	and	and	CCONJ
cana-3636	37	16	development	development	NOUN
cana-3636	37	17	,	,	PUNCT
cana-3636	37	18	it	it	PRON
cana-3636	37	19	has	have	AUX
cana-3636	37	20	garnered	garner	VERB
cana-3636	37	21	a	a	DET
cana-3636	37	22	lot	lot	NOUN
cana-3636	37	23	of	of	ADP
cana-3636	37	24	attention	attention	NOUN
cana-3636	37	25	.	.	PUNCT
cana-3636	38	1	due	due	ADJ
cana-3636	38	2	in	in	ADP
cana-3636	38	3	large	large	ADJ
cana-3636	38	4	part	part	NOUN
cana-3636	38	5	to	to	ADP
cana-3636	38	6	significant	significant	ADJ
cana-3636	38	7	interference	interference	NOUN
cana-3636	38	8	from	from	ADP
cana-3636	38	9	the	the	DET
cana-3636	38	10	mother	mother	NOUN
cana-3636	38	11	's	's	PART
cana-3636	38	12	ecg	ecg	PROPN
cana-3636	38	13	and	and	CCONJ
cana-3636	38	14	other	other	ADJ
cana-3636	38	15	outside	outside	ADJ
cana-3636	38	16	noise	noise	NOUN
cana-3636	38	17	sources	source	NOUN
cana-3636	38	18	,	,	PUNCT
cana-3636	38	19	it	it	PRON
cana-3636	38	20	is	be	AUX
cana-3636	38	21	extremely	extremely	ADV
cana-3636	38	22	difficult	difficult	ADJ
cana-3636	38	23	to	to	PART
cana-3636	38	24	reliably	reliably	ADV
cana-3636	38	25	acquire	acquire	VERB
cana-3636	38	26	these	these	DET
cana-3636	38	27	signals	signal	NOUN
cana-3636	38	28	[	[	X
cana-3636	38	29	2	2	NUM
cana-3636	38	30	]	]	PUNCT
cana-3636	38	31	.	.	PUNCT
cana-3636	39	1	in	in	ADP
cana-3636	39	2	signal	signal	ADJ
cana-3636	39	3	processing	processing	NOUN
cana-3636	39	4	,	,	PUNCT
cana-3636	39	5	traditional	traditional	ADJ
cana-3636	39	6	denoising	denoising	NOUN
cana-3636	39	7	approaches	approach	NOUN
cana-3636	39	8	like	like	ADP
cana-3636	39	9	filtering	filter	VERB
cana-3636	39	10	,	,	PUNCT
cana-3636	39	11	wavelet	wavelet	NOUN
cana-3636	39	12	transformations	transformation	NOUN
cana-3636	39	13	,	,	PUNCT
cana-3636	39	14	and	and	CCONJ
cana-3636	39	15	statistical	statistical	ADJ
cana-3636	39	16	communications	communication	NOUN
cana-3636	39	17	on	on	ADP
cana-3636	39	18	applied	apply	VERB
cana-3636	39	19	nonlinear	nonlinear	ADJ
cana-3636	39	20	analysis	analysis	NOUN
cana-3636	39	21	issn	issn	NOUN
cana-3636	39	22	:	:	PUNCT
cana-3636	39	23	1074	1074	NUM
cana-3636	39	24	-	-	PUNCT
cana-3636	39	25	133x	133x	NUM
cana-3636	39	26	vol	vol	NOUN
cana-3636	39	27	32	32	NUM
cana-3636	39	28	no	no	NOUN
cana-3636	39	29	.	.	PUNCT
cana-3636	40	1	8s	8s	PROPN
cana-3636	40	2	(	(	PUNCT
cana-3636	40	3	2025	2025	NUM
cana-3636	40	4	)	)	PUNCT
cana-3636	40	5	199	199	NUM
cana-3636	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	40	7	methods	method	NOUN
cana-3636	40	8	have	have	AUX
cana-3636	40	9	been	be	AUX
cana-3636	40	10	used	use	VERB
cana-3636	40	11	extensively	extensively	ADV
cana-3636	40	12	.	.	PUNCT
cana-3636	41	1	to	to	PART
cana-3636	41	2	reduce	reduce	VERB
cana-3636	41	3	noise	noise	NOUN
cana-3636	41	4	in	in	ADP
cana-3636	41	5	signals	signal	NOUN
cana-3636	41	6	,	,	PUNCT
cana-3636	41	7	other	other	ADJ
cana-3636	41	8	techniques	technique	NOUN
cana-3636	41	9	including	include	VERB
cana-3636	41	10	kalman	kalman	PROPN
cana-3636	41	11	filtering	filtering	PROPN
cana-3636	41	12	,	,	PUNCT
cana-3636	41	13	empirical	empirical	ADJ
cana-3636	41	14	mode	mode	NOUN
cana-3636	41	15	decomposition	decomposition	NOUN
cana-3636	41	16	(	(	PUNCT
cana-3636	41	17	emd	emd	PROPN
cana-3636	41	18	)	)	PUNCT
cana-3636	41	19	,	,	PUNCT
cana-3636	41	20	and	and	CCONJ
cana-3636	41	21	adaptive	adaptive	ADJ
cana-3636	41	22	filtering	filtering	NOUN
cana-3636	41	23	are	be	AUX
cana-3636	41	24	also	also	ADV
cana-3636	41	25	frequently	frequently	ADV
cana-3636	41	26	used	use	VERB
cana-3636	41	27	.	.	PUNCT
cana-3636	42	1	due	due	ADP
cana-3636	42	2	to	to	ADP
cana-3636	42	3	the	the	DET
cana-3636	42	4	complex	complex	ADJ
cana-3636	42	5	and	and	CCONJ
cana-3636	42	6	nonlinear	nonlinear	ADJ
cana-3636	42	7	nature	nature	NOUN
cana-3636	42	8	of	of	ADP
cana-3636	42	9	this	this	DET
cana-3636	42	10	interference	interference	NOUN
cana-3636	42	11	,	,	PUNCT
cana-3636	42	12	these	these	DET
cana-3636	42	13	methods	method	NOUN
cana-3636	42	14	have	have	AUX
cana-3636	42	15	frequently	frequently	ADV
cana-3636	42	16	been	be	AUX
cana-3636	42	17	shown	show	VERB
cana-3636	42	18	to	to	PART
cana-3636	42	19	be	be	AUX
cana-3636	42	20	insufficient	insufficient	ADJ
cana-3636	42	21	[	[	X
cana-3636	42	22	17	17	NUM
cana-3636	42	23	,	,	PUNCT
cana-3636	42	24	18	18	NUM
cana-3636	42	25	]	]	PUNCT
cana-3636	42	26	.	.	PUNCT
cana-3636	43	1	the	the	DET
cana-3636	43	2	ability	ability	NOUN
cana-3636	43	3	of	of	ADP
cana-3636	43	4	ml	ml	ADP
cana-3636	43	5	algorithms	algorithm	NOUN
cana-3636	43	6	to	to	PART
cana-3636	43	7	extract	extract	VERB
cana-3636	43	8	significant	significant	ADJ
cana-3636	43	9	patterns	pattern	NOUN
cana-3636	43	10	from	from	ADP
cana-3636	43	11	noisy	noisy	ADJ
cana-3636	43	12	datasets	dataset	NOUN
cana-3636	43	13	has	have	AUX
cana-3636	43	14	made	make	VERB
cana-3636	43	15	them	they	PRON
cana-3636	43	16	extremely	extremely	ADV
cana-3636	43	17	effective	effective	ADJ
cana-3636	43	18	tools	tool	NOUN
cana-3636	43	19	in	in	ADP
cana-3636	43	20	biomedical	biomedical	ADJ
cana-3636	43	21	signal	signal	NOUN
cana-3636	43	22	processing	processing	NOUN
cana-3636	43	23	in	in	ADP
cana-3636	43	24	recent	recent	ADJ
cana-3636	43	25	years	year	NOUN
cana-3636	43	26	.	.	PUNCT
cana-3636	44	1	since	since	SCONJ
cana-3636	44	2	cnns	cnn	NOUN
cana-3636	44	3	can	can	AUX
cana-3636	44	4	automatically	automatically	ADV
cana-3636	44	5	learn	learn	VERB
cana-3636	44	6	complicated	complicated	ADJ
cana-3636	44	7	data	datum	NOUN
cana-3636	44	8	features	feature	NOUN
cana-3636	44	9	and	and	CCONJ
cana-3636	44	10	adjust	adjust	VERB
cana-3636	44	11	to	to	ADP
cana-3636	44	12	changing	change	VERB
cana-3636	44	13	noise	noise	NOUN
cana-3636	44	14	settings	setting	NOUN
cana-3636	44	15	,	,	PUNCT
cana-3636	44	16	dl	dl	PROPN
cana-3636	44	17	techniques	technique	NOUN
cana-3636	44	18	—	—	PUNCT
cana-3636	44	19	in	in	ADP
cana-3636	44	20	particular	particular	ADJ
cana-3636	44	21	,	,	PUNCT
cana-3636	44	22	cnns	cnns	PROPN
cana-3636	44	23	—	—	PUNCT
cana-3636	44	24	have	have	AUX
cana-3636	44	25	demonstrated	demonstrate	VERB
cana-3636	44	26	significant	significant	ADJ
cana-3636	44	27	success	success	NOUN
cana-3636	44	28	in	in	ADP
cana-3636	44	29	a	a	DET
cana-3636	44	30	variety	variety	NOUN
cana-3636	44	31	of	of	ADP
cana-3636	44	32	denoising	denoising	NOUN
cana-3636	44	33	applications	application	NOUN
cana-3636	44	34	within	within	ADP
cana-3636	44	35	machine	machine	NOUN
cana-3636	44	36	learning	learn	VERB
cana-3636	44	37	[	[	X
cana-3636	44	38	19	19	NUM
cana-3636	44	39	,	,	PUNCT
cana-3636	44	40	20	20	NUM
cana-3636	44	41	]	]	PUNCT
cana-3636	44	42	.	.	PUNCT
cana-3636	45	1	contemporary	contemporary	ADJ
cana-3636	45	2	adaptive	adaptive	ADJ
cana-3636	45	3	methods	method	NOUN
cana-3636	45	4	for	for	ADP
cana-3636	45	5	processing	processing	NOUN
cana-3636	45	6	fecg	fecg	NOUN
cana-3636	45	7	signals	signal	NOUN
cana-3636	45	8	can	can	AUX
cana-3636	45	9	be	be	AUX
cana-3636	45	10	generally	generally	ADV
cana-3636	45	11	divided	divide	VERB
cana-3636	45	12	into	into	ADP
cana-3636	45	13	two	two	NUM
cana-3636	45	14	categories	category	NOUN
cana-3636	45	15	:	:	PUNCT
cana-3636	45	16	nonlinear	nonlinear	ADJ
cana-3636	45	17	and	and	CCONJ
cana-3636	45	18	linear	linear	ADJ
cana-3636	45	19	.	.	PUNCT
cana-3636	46	1	each	each	DET
cana-3636	46	2	method	method	NOUN
cana-3636	46	3	is	be	AUX
cana-3636	46	4	designed	design	VERB
cana-3636	46	5	to	to	PART
cana-3636	46	6	manage	manage	VERB
cana-3636	46	7	varying	vary	VERB
cana-3636	46	8	degrees	degree	NOUN
cana-3636	46	9	of	of	ADP
cana-3636	46	10	signal	signal	ADJ
cana-3636	46	11	complexity	complexity	NOUN
cana-3636	46	12	.	.	PUNCT
cana-3636	47	1	complex	complex	ADJ
cana-3636	47	2	and	and	CCONJ
cana-3636	47	3	nonlinear	nonlinear	ADJ
cana-3636	47	4	signal	signal	NOUN
cana-3636	47	5	overlaps	overlap	NOUN
cana-3636	47	6	have	have	AUX
cana-3636	47	7	been	be	AUX
cana-3636	47	8	successfully	successfully	ADV
cana-3636	47	9	managed	manage	VERB
cana-3636	47	10	by	by	ADP
cana-3636	47	11	nonlinear	nonlinear	ADJ
cana-3636	47	12	techniques	technique	NOUN
cana-3636	47	13	such	such	ADJ
cana-3636	47	14	as	as	ADP
cana-3636	47	15	support	support	NOUN
cana-3636	47	16	vector	vector	NOUN
cana-3636	47	17	machines	machine	NOUN
cana-3636	47	18	,	,	PUNCT
cana-3636	47	19	recurrent	recurrent	ADJ
cana-3636	47	20	neural	neural	ADJ
cana-3636	47	21	networks	network	NOUN
cana-3636	47	22	(	(	PUNCT
cana-3636	47	23	rnns	rnns	PROPN
cana-3636	47	24	)	)	PUNCT
cana-3636	47	25	,	,	PUNCT
cana-3636	47	26	hybrid	hybrid	ADJ
cana-3636	47	27	neural	neural	ADJ
cana-3636	47	28	networks	network	NOUN
cana-3636	47	29	,	,	PUNCT
cana-3636	47	30	radial	radial	ADJ
cana-3636	47	31	basis	basis	NOUN
cana-3636	47	32	function	function	NOUN
cana-3636	47	33	networks	network	NOUN
cana-3636	47	34	,	,	PUNCT
cana-3636	47	35	adaptive	adaptive	ADJ
cana-3636	47	36	neuro	neuro	NOUN
cana-3636	47	37	-	-	PUNCT
cana-3636	47	38	fuzzy	fuzzy	ADJ
cana-3636	47	39	inference	inference	NOUN
cana-3636	47	40	systems	system	NOUN
cana-3636	47	41	,	,	PUNCT
cana-3636	47	42	particle	particle	NOUN
cana-3636	47	43	swarm	swarm	NOUN
cana-3636	47	44	optimisation	optimisation	NOUN
cana-3636	47	45	,	,	PUNCT
cana-3636	47	46	self	self	NOUN
cana-3636	47	47	-	-	PUNCT
cana-3636	47	48	organizing	organize	VERB
cana-3636	47	49	maps	map	NOUN
cana-3636	47	50	,	,	PUNCT
cana-3636	47	51	and	and	CCONJ
cana-3636	47	52	extreme	extreme	ADJ
cana-3636	47	53	learning	learning	NOUN
cana-3636	47	54	machines	machine	NOUN
cana-3636	48	1	[	[	X
cana-3636	48	2	21–23	21–23	X
cana-3636	48	3	]	]	X
cana-3636	48	4	.	.	PUNCT
cana-3636	49	1	the	the	DET
cana-3636	49	2	extended	extended	ADJ
cana-3636	49	3	kalman	kalman	NOUN
cana-3636	49	4	filter	filter	PROPN
cana-3636	49	5	,	,	PUNCT
cana-3636	49	6	kalman	kalman	PROPN
cana-3636	49	7	filtering	filtering	PROPN
cana-3636	49	8	,	,	PUNCT
cana-3636	49	9	normalised	normalise	VERB
cana-3636	49	10	least	least	ADV
cana-3636	49	11	mean	mean	VERB
cana-3636	49	12	squares	square	NOUN
cana-3636	49	13	,	,	PUNCT
cana-3636	49	14	recursive	recursive	ADJ
cana-3636	49	15	least	least	ADJ
cana-3636	49	16	squares	square	NOUN
cana-3636	49	17	,	,	PUNCT
cana-3636	49	18	recursive	recursive	ADJ
cana-3636	49	19	maximum	maximum	ADJ
cana-3636	49	20	likelihood	likelihood	NOUN
cana-3636	49	21	,	,	PUNCT
cana-3636	49	22	and	and	CCONJ
cana-3636	49	23	adaptive	adaptive	ADJ
cana-3636	49	24	linear	linear	PROPN
cana-3636	49	25	neuron	neuron	NOUN
cana-3636	49	26	models	model	NOUN
cana-3636	49	27	,	,	PUNCT
cana-3636	49	28	on	on	ADP
cana-3636	49	29	the	the	DET
cana-3636	49	30	other	other	ADJ
cana-3636	49	31	hand	hand	NOUN
cana-3636	49	32	,	,	PUNCT
cana-3636	49	33	are	be	AUX
cana-3636	49	34	examples	example	NOUN
cana-3636	49	35	of	of	ADP
cana-3636	49	36	linear	linear	ADJ
cana-3636	49	37	adaptive	adaptive	ADJ
cana-3636	49	38	techniques	technique	NOUN
cana-3636	49	39	that	that	PRON
cana-3636	49	40	perform	perform	VERB
cana-3636	49	41	well	well	ADV
cana-3636	49	42	in	in	ADP
cana-3636	49	43	situations	situation	NOUN
cana-3636	49	44	with	with	ADP
cana-3636	49	45	less	less	ADV
cana-3636	49	46	complex	complex	ADJ
cana-3636	49	47	interference	interference	NOUN
cana-3636	49	48	and	and	CCONJ
cana-3636	49	49	continuously	continuously	ADV
cana-3636	49	50	adjust	adjust	VERB
cana-3636	49	51	to	to	ADP
cana-3636	49	52	the	the	DET
cana-3636	49	53	particular	particular	ADJ
cana-3636	49	54	difficulties	difficulty	NOUN
cana-3636	49	55	posed	pose	VERB
cana-3636	49	56	by	by	ADP
cana-3636	49	57	fecg	fecg	NOUN
cana-3636	49	58	signal	signal	NOUN
cana-3636	49	59	processing	processing	NOUN
cana-3636	49	60	[	[	X
cana-3636	49	61	17	17	NUM
cana-3636	49	62	,	,	PUNCT
cana-3636	49	63	18	18	NUM
cana-3636	49	64	,	,	PUNCT
cana-3636	49	65	24	24	NUM
cana-3636	49	66	]	]	PUNCT
cana-3636	49	67	.	.	PUNCT
cana-3636	50	1	to	to	PART
cana-3636	50	2	increase	increase	VERB
cana-3636	50	3	the	the	DET
cana-3636	50	4	clarity	clarity	NOUN
cana-3636	50	5	of	of	ADP
cana-3636	50	6	fecg	fecg	NOUN
cana-3636	50	7	signals	signal	NOUN
cana-3636	50	8	,	,	PUNCT
cana-3636	50	9	several	several	ADJ
cana-3636	50	10	techniques	technique	NOUN
cana-3636	50	11	for	for	ADP
cana-3636	50	12	reducing	reduce	VERB
cana-3636	50	13	maternal	maternal	ADJ
cana-3636	50	14	ecg	ecg	PROPN
cana-3636	50	15	components	component	NOUN
cana-3636	50	16	have	have	AUX
cana-3636	50	17	been	be	AUX
cana-3636	50	18	investigated	investigate	VERB
cana-3636	50	19	.	.	PUNCT
cana-3636	51	1	a	a	DET
cana-3636	51	2	significant	significant	ADJ
cana-3636	51	3	advancement	advancement	NOUN
cana-3636	51	4	was	be	AUX
cana-3636	51	5	made	make	VERB
cana-3636	51	6	when	when	SCONJ
cana-3636	51	7	matonia	matonia	PROPN
cana-3636	51	8	et	et	PROPN
cana-3636	51	9	al	al	PROPN
cana-3636	51	10	.	.	PROPN
cana-3636	51	11	suggested	suggest	VERB
cana-3636	51	12	isolating	isolate	VERB
cana-3636	51	13	and	and	CCONJ
cana-3636	51	14	removing	remove	VERB
cana-3636	51	15	the	the	DET
cana-3636	51	16	maternal	maternal	ADJ
cana-3636	51	17	pqrst	pqrst	NOUN
cana-3636	51	18	complex	complex	NOUN
cana-3636	51	19	over	over	ADP
cana-3636	51	20	successive	successive	ADJ
cana-3636	51	21	cardiac	cardiac	ADJ
cana-3636	51	22	cycles	cycle	NOUN
cana-3636	51	23	;	;	PUNCT
cana-3636	51	24	nonetheless	nonetheless	ADV
cana-3636	51	25	,	,	PUNCT
cana-3636	51	26	this	this	DET
cana-3636	51	27	method	method	NOUN
cana-3636	51	28	has	have	AUX
cana-3636	51	29	not	not	PART
cana-3636	51	30	yet	yet	ADV
cana-3636	51	31	completely	completely	ADV
cana-3636	51	32	eliminated	eliminate	VERB
cana-3636	51	33	any	any	DET
cana-3636	51	34	remaining	remain	VERB
cana-3636	51	35	noise	noise	NOUN
cana-3636	51	36	artifacts	artifact	NOUN
cana-3636	51	37	,	,	PUNCT
cana-3636	51	38	underscoring	underscore	VERB
cana-3636	51	39	the	the	DET
cana-3636	51	40	need	need	NOUN
cana-3636	51	41	for	for	ADP
cana-3636	51	42	more	more	ADV
cana-3636	51	43	reliable	reliable	ADJ
cana-3636	51	44	solutions	solution	NOUN
cana-3636	51	45	[	[	X
cana-3636	51	46	25	25	NUM
cana-3636	51	47	]	]	PUNCT
cana-3636	51	48	.	.	PUNCT
cana-3636	52	1	fotiadou	fotiadou	PROPN
cana-3636	52	2	et	et	PROPN
cana-3636	52	3	al	al	PROPN
cana-3636	52	4	.	.	PROPN
cana-3636	52	5	made	make	VERB
cana-3636	52	6	a	a	DET
cana-3636	52	7	big	big	ADJ
cana-3636	52	8	advancement	advancement	NOUN
cana-3636	52	9	in	in	ADP
cana-3636	52	10	this	this	DET
cana-3636	52	11	field	field	NOUN
cana-3636	52	12	by	by	ADP
cana-3636	52	13	introducing	introduce	VERB
cana-3636	52	14	a	a	DET
cana-3636	52	15	fully	fully	ADV
cana-3636	52	16	convolutional	convolutional	ADJ
cana-3636	52	17	deep	deep	ADJ
cana-3636	52	18	neural	neural	ADJ
cana-3636	52	19	network	network	NOUN
cana-3636	52	20	(	(	PUNCT
cana-3636	52	21	dnn	dnn	PROPN
cana-3636	52	22	)	)	PUNCT
cana-3636	52	23	for	for	ADP
cana-3636	52	24	non	non	ADJ
cana-3636	52	25	-	-	ADJ
cana-3636	52	26	invasive	invasive	ADJ
cana-3636	52	27	fecg	fecg	NOUN
cana-3636	52	28	processing	processing	NOUN
cana-3636	52	29	,	,	PUNCT
cana-3636	52	30	which	which	PRON
cana-3636	52	31	greatly	greatly	ADV
cana-3636	52	32	improved	improve	VERB
cana-3636	52	33	signal	signal	ADJ
cana-3636	52	34	quality	quality	NOUN
cana-3636	52	35	while	while	SCONJ
cana-3636	52	36	maintaining	maintain	VERB
cana-3636	52	37	crucial	crucial	ADJ
cana-3636	52	38	morphological	morphological	ADJ
cana-3636	52	39	information	information	NOUN
cana-3636	52	40	[	[	X
cana-3636	52	41	26	26	NUM
cana-3636	52	42	]	]	PUNCT
cana-3636	52	43	.	.	PUNCT
cana-3636	53	1	techniques	technique	NOUN
cana-3636	53	2	for	for	ADP
cana-3636	53	3	sparse	sparse	ADJ
cana-3636	53	4	representation	representation	NOUN
cana-3636	53	5	,	,	PUNCT
cana-3636	53	6	in	in	ADP
cana-3636	53	7	particular	particular	ADJ
cana-3636	53	8	total	total	ADJ
cana-3636	53	9	variation	variation	NOUN
cana-3636	53	10	denoising	denoising	NOUN
cana-3636	53	11	(	(	PUNCT
cana-3636	53	12	tvd	tvd	PROPN
cana-3636	53	13	)	)	PUNCT
cana-3636	53	14	,	,	PUNCT
cana-3636	53	15	have	have	AUX
cana-3636	53	16	made	make	VERB
cana-3636	53	17	additional	additional	ADJ
cana-3636	53	18	contributions	contribution	NOUN
cana-3636	53	19	by	by	ADP
cana-3636	53	20	successfully	successfully	ADV
cana-3636	53	21	lowering	lower	VERB
cana-3636	53	22	noise	noise	NOUN
cana-3636	53	23	while	while	SCONJ
cana-3636	53	24	preserving	preserve	VERB
cana-3636	53	25	sharp	sharp	ADJ
cana-3636	53	26	signal	signal	ADJ
cana-3636	53	27	edges	edge	NOUN
cana-3636	53	28	,	,	PUNCT
cana-3636	53	29	which	which	PRON
cana-3636	53	30	is	be	AUX
cana-3636	53	31	crucial	crucial	ADJ
cana-3636	53	32	for	for	ADP
cana-3636	53	33	correctly	correctly	ADV
cana-3636	53	34	interpreting	interpret	VERB
cana-3636	53	35	fecg	fecg	NOUN
cana-3636	53	36	signals	signal	NOUN
cana-3636	53	37	[	[	X
cana-3636	53	38	27	27	NUM
cana-3636	53	39	,	,	PUNCT
cana-3636	53	40	28	28	NUM
cana-3636	53	41	]	]	PUNCT
cana-3636	53	42	.	.	PUNCT
cana-3636	54	1	reducing	reduce	VERB
cana-3636	54	2	maternal	maternal	ADJ
cana-3636	54	3	cardiac	cardiac	ADJ
cana-3636	54	4	interference	interference	NOUN
cana-3636	54	5	and	and	CCONJ
cana-3636	54	6	enhancing	enhance	VERB
cana-3636	54	7	fetal	fetal	ADJ
cana-3636	54	8	identification	identification	NOUN
cana-3636	54	9	have	have	AUX
cana-3636	54	10	also	also	ADV
cana-3636	54	11	been	be	AUX
cana-3636	54	12	made	make	VERB
cana-3636	54	13	possible	possible	ADJ
cana-3636	54	14	by	by	ADP
cana-3636	54	15	automatic	automatic	ADJ
cana-3636	54	16	processing	processing	NOUN
cana-3636	54	17	and	and	CCONJ
cana-3636	54	18	adaptive	adaptive	ADJ
cana-3636	54	19	filtering	filtering	NOUN
cana-3636	54	20	techniques	technique	NOUN
cana-3636	54	21	.	.	PUNCT
cana-3636	55	1	these	these	DET
cana-3636	55	2	methods	method	NOUN
cana-3636	55	3	,	,	PUNCT
cana-3636	55	4	however	however	ADV
cana-3636	55	5	,	,	PUNCT
cana-3636	55	6	usually	usually	ADV
cana-3636	55	7	only	only	ADV
cana-3636	55	8	produce	produce	VERB
cana-3636	55	9	estimated	estimate	VERB
cana-3636	55	10	fetal	fetal	ADJ
cana-3636	55	11	heart	heart	NOUN
cana-3636	55	12	rates	rate	NOUN
cana-3636	55	13	and	and	CCONJ
cana-3636	55	14	frequently	frequently	ADV
cana-3636	55	15	struggle	struggle	VERB
cana-3636	55	16	with	with	ADP
cana-3636	55	17	the	the	DET
cana-3636	55	18	complicated	complicated	ADJ
cana-3636	55	19	nature	nature	NOUN
cana-3636	55	20	of	of	ADP
cana-3636	55	21	fecg	fecg	PROPN
cana-3636	55	22	data	datum	NOUN
cana-3636	55	23	,	,	PUNCT
cana-3636	55	24	particularly	particularly	ADV
cana-3636	55	25	when	when	SCONJ
cana-3636	55	26	the	the	DET
cana-3636	55	27	maternal	maternal	ADJ
cana-3636	55	28	and	and	CCONJ
cana-3636	55	29	fetal	fetal	ADJ
cana-3636	55	30	qrs	qrs	NOUN
cana-3636	55	31	complexes	complex	NOUN
cana-3636	55	32	overlap	overlap	VERB
cana-3636	55	33	.	.	PUNCT
cana-3636	56	1	to	to	PART
cana-3636	56	2	deal	deal	VERB
cana-3636	56	3	with	with	ADP
cana-3636	56	4	these	these	DET
cana-3636	56	5	overlaps	overlap	NOUN
cana-3636	56	6	,	,	PUNCT
cana-3636	56	7	improved	improved	ADJ
cana-3636	56	8	kalman	kalman	NOUN
cana-3636	56	9	filters	filter	NOUN
cana-3636	56	10	have	have	AUX
cana-3636	56	11	been	be	AUX
cana-3636	56	12	created	create	VERB
cana-3636	56	13	;	;	PUNCT
cana-3636	56	14	nonetheless	nonetheless	ADV
cana-3636	56	15	,	,	PUNCT
cana-3636	56	16	they	they	PRON
cana-3636	56	17	have	have	VERB
cana-3636	56	18	issues	issue	NOUN
cana-3636	56	19	with	with	ADP
cana-3636	56	20	computing	computing	NOUN
cana-3636	56	21	requirements	requirement	NOUN
cana-3636	56	22	and	and	CCONJ
cana-3636	56	23	accurately	accurately	ADV
cana-3636	56	24	identifying	identify	VERB
cana-3636	56	25	r	r	NOUN
cana-3636	56	26	-	-	PUNCT
cana-3636	56	27	peaks	peak	NOUN
cana-3636	56	28	[	[	X
cana-3636	56	29	29	29	NUM
cana-3636	56	30	]	]	PUNCT
cana-3636	56	31	.	.	PUNCT
cana-3636	57	1	researchers	researcher	NOUN
cana-3636	57	2	have	have	AUX
cana-3636	57	3	investigated	investigate	VERB
cana-3636	57	4	blind	blind	ADJ
cana-3636	57	5	source	source	NOUN
cana-3636	57	6	separation	separation	NOUN
cana-3636	57	7	methods	method	NOUN
cana-3636	57	8	such	such	ADJ
cana-3636	57	9	as	as	ADP
cana-3636	57	10	principal	principal	ADJ
cana-3636	57	11	component	component	NOUN
cana-3636	57	12	analysis	analysis	NOUN
cana-3636	57	13	(	(	PUNCT
cana-3636	57	14	pca	pca	NOUN
cana-3636	57	15	)	)	PUNCT
cana-3636	57	16	,	,	PUNCT
cana-3636	57	17	independent	independent	ADJ
cana-3636	57	18	component	component	NOUN
cana-3636	57	19	analysis	analysis	NOUN
cana-3636	57	20	(	(	PUNCT
cana-3636	57	21	ica	ica	PROPN
cana-3636	57	22	)	)	PUNCT
cana-3636	57	23	,	,	PUNCT
cana-3636	57	24	canonical	canonical	ADJ
cana-3636	57	25	correlation	correlation	NOUN
cana-3636	57	26	analysis	analysis	NOUN
cana-3636	57	27	(	(	PUNCT
cana-3636	57	28	cca	cca	NOUN
cana-3636	57	29	)	)	PUNCT
cana-3636	57	30	,	,	PUNCT
cana-3636	57	31	and	and	CCONJ
cana-3636	57	32	sparse	sparse	ADJ
cana-3636	57	33	component	component	NOUN
cana-3636	57	34	analysis	analysis	NOUN
cana-3636	57	35	in	in	ADP
cana-3636	57	36	an	an	DET
cana-3636	57	37	effort	effort	NOUN
cana-3636	57	38	to	to	PART
cana-3636	57	39	lessen	lessen	VERB
cana-3636	57	40	these	these	DET
cana-3636	57	41	complications	complication	NOUN
cana-3636	57	42	[	[	X
cana-3636	57	43	17	17	NUM
cana-3636	57	44	,	,	PUNCT
cana-3636	57	45	30	30	NUM
cana-3636	57	46	,	,	PUNCT
cana-3636	57	47	31	31	NUM
cana-3636	57	48	]	]	PUNCT
cana-3636	57	49	.	.	PUNCT
cana-3636	58	1	although	although	SCONJ
cana-3636	58	2	these	these	DET
cana-3636	58	3	techniques	technique	NOUN
cana-3636	58	4	present	present	VERB
cana-3636	58	5	novel	novel	ADJ
cana-3636	58	6	viewpoints	viewpoint	NOUN
cana-3636	58	7	,	,	PUNCT
cana-3636	58	8	they	they	PRON
cana-3636	58	9	frequently	frequently	ADV
cana-3636	58	10	struggle	struggle	VERB
cana-3636	58	11	with	with	ADP
cana-3636	58	12	low	low	ADJ
cana-3636	58	13	snr	snr	NOUN
cana-3636	58	14	and	and	CCONJ
cana-3636	58	15	require	require	VERB
cana-3636	58	16	careful	careful	ADJ
cana-3636	58	17	electrode	electrode	NOUN
cana-3636	58	18	communications	communication	NOUN
cana-3636	58	19	on	on	ADP
cana-3636	58	20	applied	apply	VERB
cana-3636	58	21	nonlinear	nonlinear	ADJ
cana-3636	58	22	analysis	analysis	NOUN
cana-3636	58	23	issn	issn	NOUN
cana-3636	58	24	:	:	PUNCT
cana-3636	58	25	1074	1074	NUM
cana-3636	58	26	-	-	PUNCT
cana-3636	58	27	133x	133x	NUM
cana-3636	58	28	vol	vol	NOUN
cana-3636	58	29	32	32	NUM
cana-3636	58	30	no	no	NOUN
cana-3636	58	31	.	.	PUNCT
cana-3636	59	1	8s	8s	PROPN
cana-3636	59	2	(	(	PUNCT
cana-3636	59	3	2025	2025	NUM
cana-3636	59	4	)	)	PUNCT
cana-3636	59	5	200	200	NUM
cana-3636	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	59	7	placement	placement	NOUN
cana-3636	59	8	and	and	CCONJ
cana-3636	59	9	extensive	extensive	ADJ
cana-3636	59	10	post	post	ADJ
cana-3636	59	11	-	-	ADJ
cana-3636	59	12	processing	processing	NOUN
cana-3636	59	13	to	to	PART
cana-3636	59	14	achieve	achieve	VERB
cana-3636	59	15	the	the	DET
cana-3636	59	16	best	good	ADJ
cana-3636	59	17	results	result	NOUN
cana-3636	59	18	.	.	PUNCT
cana-3636	60	1	blind	blind	ADJ
cana-3636	60	2	source	source	NOUN
cana-3636	60	3	separation	separation	NOUN
cana-3636	60	4	has	have	AUX
cana-3636	60	5	recently	recently	ADV
cana-3636	60	6	been	be	AUX
cana-3636	60	7	combined	combine	VERB
cana-3636	60	8	with	with	ADP
cana-3636	60	9	adaptive	adaptive	ADJ
cana-3636	60	10	filtering	filtering	NOUN
cana-3636	60	11	approaches	approach	NOUN
cana-3636	60	12	,	,	PUNCT
cana-3636	60	13	which	which	PRON
cana-3636	60	14	has	have	AUX
cana-3636	60	15	shown	show	VERB
cana-3636	60	16	promise	promise	NOUN
cana-3636	60	17	in	in	ADP
cana-3636	60	18	single	single	ADJ
cana-3636	60	19	channel	channel	NOUN
cana-3636	60	20	fecg	fecg	NOUN
cana-3636	60	21	extraction	extraction	NOUN
cana-3636	60	22	.	.	PUNCT
cana-3636	61	1	further	further	ADJ
cana-3636	61	2	advancements	advancement	NOUN
cana-3636	61	3	in	in	ADP
cana-3636	61	4	fetal	fetal	ADJ
cana-3636	61	5	qrs	qrs	PROPN
cana-3636	61	6	identification	identification	NOUN
cana-3636	61	7	accuracy	accuracy	NOUN
cana-3636	61	8	are	be	AUX
cana-3636	61	9	being	be	AUX
cana-3636	61	10	shown	show	VERB
cana-3636	61	11	by	by	ADP
cana-3636	61	12	ml	ml	NOUN
cana-3636	61	13	-	-	PUNCT
cana-3636	61	14	driven	drive	VERB
cana-3636	61	15	methods	method	NOUN
cana-3636	61	16	such	such	ADJ
cana-3636	61	17	cnn	cnn	PROPN
cana-3636	61	18	-	-	PUNCT
cana-3636	61	19	based	base	VERB
cana-3636	61	20	architectures	architecture	NOUN
cana-3636	61	21	and	and	CCONJ
cana-3636	61	22	the	the	DET
cana-3636	61	23	qrstree	qrstree	ADJ
cana-3636	61	24	algorithm	algorithm	NOUN
cana-3636	61	25	[	[	X
cana-3636	61	26	32–34	32–34	NUM
cana-3636	61	27	]	]	PUNCT
cana-3636	61	28	.	.	PUNCT
cana-3636	62	1	these	these	DET
cana-3636	62	2	developments	development	NOUN
cana-3636	62	3	highlight	highlight	VERB
cana-3636	62	4	a	a	DET
cana-3636	62	5	developing	develop	VERB
cana-3636	62	6	trend	trend	NOUN
cana-3636	62	7	towards	towards	ADP
cana-3636	62	8	hybrid	hybrid	ADJ
cana-3636	62	9	approaches	approach	NOUN
cana-3636	62	10	that	that	PRON
cana-3636	62	11	combine	combine	VERB
cana-3636	62	12	the	the	DET
cana-3636	62	13	advantages	advantage	NOUN
cana-3636	62	14	of	of	ADP
cana-3636	62	15	conventional	conventional	ADJ
cana-3636	62	16	signal	signal	NOUN
cana-3636	62	17	processing	processing	NOUN
cana-3636	62	18	with	with	ADP
cana-3636	62	19	cutting	cut	VERB
cana-3636	62	20	-	-	PUNCT
cana-3636	62	21	edge	edge	NOUN
cana-3636	62	22	machine	machine	NOUN
cana-3636	62	23	learning	learning	NOUN
cana-3636	62	24	paradigms	paradigm	VERB
cana-3636	62	25	,	,	PUNCT
cana-3636	62	26	potentially	potentially	ADV
cana-3636	62	27	establishing	establish	VERB
cana-3636	62	28	new	new	ADJ
cana-3636	62	29	benchmarks	benchmark	NOUN
cana-3636	62	30	for	for	ADP
cana-3636	62	31	accurate	accurate	ADJ
cana-3636	62	32	and	and	CCONJ
cana-3636	62	33	trustworthy	trustworthy	ADJ
cana-3636	62	34	fecg	fecg	PROPN
cana-3636	62	35	signal	signal	NOUN
cana-3636	62	36	interpretation	interpretation	NOUN
cana-3636	62	37	.	.	PUNCT
cana-3636	63	1	a	a	DET
cana-3636	63	2	paradigm	paradigm	NOUN
cana-3636	63	3	shift	shift	NOUN
cana-3636	63	4	in	in	ADP
cana-3636	63	5	the	the	DET
cana-3636	63	6	processing	processing	NOUN
cana-3636	63	7	of	of	ADP
cana-3636	63	8	fecg	fecg	NOUN
cana-3636	63	9	signals	signal	NOUN
cana-3636	63	10	is	be	AUX
cana-3636	63	11	marked	mark	VERB
cana-3636	63	12	by	by	ADP
cana-3636	63	13	the	the	DET
cana-3636	63	14	use	use	NOUN
cana-3636	63	15	of	of	ADP
cana-3636	63	16	dl	dl	PROPN
cana-3636	63	17	,	,	PUNCT
cana-3636	63	18	which	which	PRON
cana-3636	63	19	includes	include	VERB
cana-3636	63	20	cnns	cnn	NOUN
cana-3636	63	21	,	,	PUNCT
cana-3636	63	22	generative	generative	ADJ
cana-3636	63	23	adversarial	adversarial	ADJ
cana-3636	63	24	networks	network	NOUN
cana-3636	63	25	(	(	PUNCT
cana-3636	63	26	gans	gan	NOUN
cana-3636	63	27	)	)	PUNCT
cana-3636	63	28	,	,	PUNCT
cana-3636	63	29	rnns	rnn	NOUN
cana-3636	63	30	;	;	PUNCT
cana-3636	63	31	long	long	ADJ
cana-3636	63	32	short	short	ADJ
cana-3636	63	33	-	-	PUNCT
cana-3636	63	34	term	term	NOUN
cana-3636	63	35	memory	memory	NOUN
cana-3636	63	36	networks	network	NOUN
cana-3636	63	37	(	(	PUNCT
cana-3636	63	38	lstms	lstms	ADJ
cana-3636	63	39	)	)	PUNCT
cana-3636	63	40	,	,	PUNCT
cana-3636	63	41	stacked	stack	VERB
cana-3636	63	42	denoising	denoising	NOUN
cana-3636	63	43	autoencoders	autoencoder	NOUN
cana-3636	63	44	,	,	PUNCT
cana-3636	63	45	and	and	CCONJ
cana-3636	63	46	variational	variational	ADJ
cana-3636	63	47	autoencoders	autoencoder	NOUN
cana-3636	63	48	(	(	PUNCT
cana-3636	63	49	vaes	vaes	ADJ
cana-3636	63	50	)	)	PUNCT
cana-3636	63	51	.	.	PUNCT
cana-3636	64	1	even	even	ADV
cana-3636	64	2	though	though	SCONJ
cana-3636	64	3	these	these	DET
cana-3636	64	4	models	model	NOUN
cana-3636	64	5	are	be	AUX
cana-3636	64	6	revolutionary	revolutionary	ADJ
cana-3636	64	7	for	for	ADP
cana-3636	64	8	denoising	denoise	VERB
cana-3636	64	9	adult	adult	NOUN
cana-3636	64	10	and	and	CCONJ
cana-3636	64	11	fetal	fetal	ADJ
cana-3636	64	12	ecgs	ecgs	NOUN
cana-3636	64	13	,	,	PUNCT
cana-3636	64	14	they	they	PRON
cana-3636	64	15	struggle	struggle	VERB
cana-3636	64	16	to	to	PART
cana-3636	64	17	handle	handle	VERB
cana-3636	64	18	severely	severely	ADV
cana-3636	64	19	distorted	distort	VERB
cana-3636	64	20	signals	signal	NOUN
cana-3636	64	21	,	,	PUNCT
cana-3636	64	22	highlighting	highlight	VERB
cana-3636	64	23	the	the	DET
cana-3636	64	24	necessity	necessity	NOUN
cana-3636	64	25	for	for	ADP
cana-3636	64	26	continued	continue	VERB
cana-3636	64	27	innovation	innovation	NOUN
cana-3636	64	28	to	to	PART
cana-3636	64	29	get	get	VERB
cana-3636	64	30	past	past	ADJ
cana-3636	64	31	long	long	ADV
cana-3636	64	32	-	-	PUNCT
cana-3636	64	33	standing	stand	VERB
cana-3636	64	34	constraints	constraint	NOUN
cana-3636	64	35	[	[	X
cana-3636	64	36	26	26	NUM
cana-3636	64	37	,	,	PUNCT
cana-3636	64	38	35–38	35–38	PROPN
cana-3636	64	39	]	]	PUNCT
cana-3636	64	40	.	.	PUNCT
cana-3636	65	1	in	in	ADP
cana-3636	65	2	order	order	NOUN
cana-3636	65	3	to	to	PART
cana-3636	65	4	increase	increase	VERB
cana-3636	65	5	the	the	DET
cana-3636	65	6	precision	precision	NOUN
cana-3636	65	7	of	of	ADP
cana-3636	65	8	arrhythmia	arrhythmia	NOUN
cana-3636	65	9	detection	detection	NOUN
cana-3636	65	10	,	,	PUNCT
cana-3636	65	11	luz	luz	PROPN
cana-3636	65	12	et	et	PROPN
cana-3636	65	13	al	al	PROPN
cana-3636	65	14	.	.	PROPN
cana-3636	65	15	focused	focus	VERB
cana-3636	65	16	on	on	ADP
cana-3636	65	17	pre	pre	ADJ
cana-3636	65	18	-	-	ADJ
cana-3636	65	19	processing	processing	ADJ
cana-3636	65	20	ecg	ecg	PROPN
cana-3636	65	21	data	datum	NOUN
cana-3636	65	22	.	.	PUNCT
cana-3636	66	1	a	a	DET
cana-3636	66	2	variety	variety	NOUN
cana-3636	66	3	of	of	ADP
cana-3636	66	4	arrhythmias	arrhythmia	NOUN
cana-3636	66	5	have	have	AUX
cana-3636	66	6	been	be	AUX
cana-3636	66	7	classified	classify	VERB
cana-3636	66	8	using	use	VERB
cana-3636	66	9	relevance	relevance	NOUN
cana-3636	66	10	vector	vector	NOUN
cana-3636	66	11	machines	machine	NOUN
cana-3636	66	12	(	(	PUNCT
cana-3636	66	13	rvm	rvm	PROPN
cana-3636	66	14	)	)	PUNCT
cana-3636	67	1	[	[	X
cana-3636	67	2	39	39	NUM
cana-3636	67	3	]	]	PUNCT
cana-3636	67	4	.	.	PUNCT
cana-3636	68	1	in	in	ADP
cana-3636	68	2	order	order	NOUN
cana-3636	68	3	to	to	PART
cana-3636	68	4	accurately	accurately	ADV
cana-3636	68	5	detect	detect	VERB
cana-3636	68	6	arrhythmias	arrhythmia	NOUN
cana-3636	68	7	from	from	ADP
cana-3636	68	8	ecg	ecg	PROPN
cana-3636	68	9	signals	signal	NOUN
cana-3636	68	10	,	,	PUNCT
cana-3636	68	11	rajpurkar	rajpurkar	PROPN
cana-3636	68	12	et	et	PROPN
cana-3636	68	13	al	al	PROPN
cana-3636	68	14	.	.	PROPN
cana-3636	68	15	created	create	VERB
cana-3636	68	16	a	a	DET
cana-3636	68	17	stacked	stack	VERB
cana-3636	68	18	long	long	ADJ
cana-3636	68	19	cnn	cnn	PROPN
cana-3636	68	20	that	that	PRON
cana-3636	68	21	successfully	successfully	ADV
cana-3636	68	22	learns	learn	VERB
cana-3636	68	23	and	and	CCONJ
cana-3636	68	24	recognizes	recognize	VERB
cana-3636	68	25	patterns	pattern	NOUN
cana-3636	68	26	in	in	ADP
cana-3636	68	27	the	the	DET
cana-3636	68	28	data	datum	NOUN
cana-3636	68	29	[	[	X
cana-3636	68	30	40].the	40].the	DET
cana-3636	68	31	potential	potential	NOUN
cana-3636	68	32	of	of	ADP
cana-3636	68	33	dl	dl	PROPN
cana-3636	68	34	approaches	approach	NOUN
cana-3636	68	35	in	in	ADP
cana-3636	68	36	detecting	detect	VERB
cana-3636	68	37	coronary	coronary	ADJ
cana-3636	68	38	artery	artery	NOUN
cana-3636	68	39	disease	disease	NOUN
cana-3636	68	40	(	(	PUNCT
cana-3636	68	41	cad	cad	NOUN
cana-3636	68	42	)	)	PUNCT
cana-3636	68	43	based	base	VERB
cana-3636	68	44	on	on	ADP
cana-3636	68	45	ecg	ecg	PROPN
cana-3636	68	46	data	datum	NOUN
cana-3636	68	47	was	be	AUX
cana-3636	68	48	demonstrated	demonstrate	VERB
cana-3636	68	49	by	by	ADP
cana-3636	68	50	avanzato	avanzato	PROPN
cana-3636	68	51	et	et	PROPN
cana-3636	68	52	al	al	PROPN
cana-3636	68	53	.	.	PROPN
cana-3636	68	54	,	,	PUNCT
cana-3636	68	55	who	who	PRON
cana-3636	68	56	used	use	VERB
cana-3636	68	57	multi	multi	ADJ
cana-3636	68	58	-	-	ADJ
cana-3636	68	59	layered	layered	ADJ
cana-3636	68	60	cnns	cnn	NOUN
cana-3636	68	61	to	to	PART
cana-3636	68	62	identify	identify	VERB
cana-3636	68	63	cad	cad	PROPN
cana-3636	68	64	from	from	ADP
cana-3636	68	65	ecg	ecg	PROPN
cana-3636	68	66	datasets	dataset	NOUN
cana-3636	68	67	.	.	PUNCT
cana-3636	69	1	they	they	PRON
cana-3636	69	2	achieved	achieve	VERB
cana-3636	69	3	an	an	DET
cana-3636	69	4	impressive	impressive	ADJ
cana-3636	69	5	accuracy	accuracy	NOUN
cana-3636	69	6	rate	rate	NOUN
cana-3636	69	7	of	of	ADP
cana-3636	69	8	almost	almost	ADV
cana-3636	69	9	98	98	NUM
cana-3636	69	10	%	%	NOUN
cana-3636	69	11	[	[	X
cana-3636	69	12	41	41	NUM
cana-3636	69	13	]	]	PUNCT
cana-3636	69	14	.	.	PUNCT
cana-3636	70	1	additionally	additionally	ADV
cana-3636	70	2	,	,	PUNCT
cana-3636	70	3	acharya	acharya	PROPN
cana-3636	70	4	et	et	PROPN
cana-3636	70	5	al	al	PROPN
cana-3636	70	6	.	.	PROPN
cana-3636	70	7	concentrated	concentrate	VERB
cana-3636	70	8	on	on	ADP
cana-3636	70	9	employing	employ	VERB
cana-3636	70	10	multi	multi	ADJ
cana-3636	70	11	-	-	ADJ
cana-3636	70	12	layered	layered	ADJ
cana-3636	70	13	cnns	cnn	NOUN
cana-3636	70	14	to	to	PART
cana-3636	70	15	analyze	analyze	VERB
cana-3636	70	16	long	long	ADJ
cana-3636	70	17	-	-	PUNCT
cana-3636	70	18	duration	duration	NOUN
cana-3636	70	19	ecg	ecg	PROPN
cana-3636	70	20	signals	signal	NOUN
cana-3636	70	21	in	in	ADP
cana-3636	70	22	order	order	NOUN
cana-3636	70	23	to	to	PART
cana-3636	70	24	identify	identify	VERB
cana-3636	70	25	coronary	coronary	ADJ
cana-3636	70	26	heart	heart	NOUN
cana-3636	70	27	disease	disease	NOUN
cana-3636	70	28	(	(	PUNCT
cana-3636	70	29	chd	chd	NOUN
cana-3636	70	30	)	)	PUNCT
cana-3636	70	31	.	.	PUNCT
cana-3636	71	1	their	their	PRON
cana-3636	71	2	study	study	NOUN
cana-3636	71	3	showed	show	VERB
cana-3636	71	4	that	that	SCONJ
cana-3636	71	5	dl	dl	PROPN
cana-3636	71	6	models	model	NOUN
cana-3636	71	7	could	could	AUX
cana-3636	71	8	efficiently	efficiently	ADV
cana-3636	71	9	process	process	VERB
cana-3636	71	10	and	and	CCONJ
cana-3636	71	11	analyze	analyze	VERB
cana-3636	71	12	long	long	ADJ
cana-3636	71	13	stretches	stretch	NOUN
cana-3636	71	14	of	of	ADP
cana-3636	71	15	ecg	ecg	PROPN
cana-3636	71	16	data	data	PROPN
cana-3636	71	17	,	,	PUNCT
cana-3636	71	18	resulting	result	VERB
cana-3636	71	19	in	in	ADP
cana-3636	71	20	accurate	accurate	ADJ
cana-3636	71	21	chd	chd	NOUN
cana-3636	71	22	detection	detection	NOUN
cana-3636	71	23	and	and	CCONJ
cana-3636	71	24	demonstrating	demonstrate	VERB
cana-3636	71	25	cnns	cnn	NOUN
cana-3636	71	26	'	'	PART
cana-3636	71	27	capacity	capacity	NOUN
cana-3636	71	28	to	to	PART
cana-3636	71	29	handle	handle	VERB
cana-3636	71	30	extensive	extensive	ADJ
cana-3636	71	31	and	and	CCONJ
cana-3636	71	32	complex	complex	ADJ
cana-3636	71	33	medical	medical	ADJ
cana-3636	71	34	datasets	dataset	NOUN
cana-3636	71	35	for	for	ADP
cana-3636	71	36	precise	precise	ADJ
cana-3636	71	37	illness	illness	NOUN
cana-3636	71	38	diagnosis	diagnosis	NOUN
cana-3636	72	1	[	[	X
cana-3636	72	2	42	42	NUM
cana-3636	72	3	,	,	PUNCT
cana-3636	72	4	43	43	NUM
cana-3636	72	5	]	]	PUNCT
cana-3636	72	6	.	.	PUNCT
cana-3636	73	1	3	3	X
cana-3636	73	2	.	.	NUM
cana-3636	73	3	proposed	propose	VERB
cana-3636	73	4	non	non	ADJ
cana-3636	73	5	linear	linear	PROPN
cana-3636	73	6	ensemble	ensemble	PROPN
cana-3636	73	7	based	base	VERB
cana-3636	73	8	cnn	cnn	PROPN
cana-3636	73	9	fecg	fecg	PROPN
cana-3636	73	10	signal	signal	PROPN
cana-3636	73	11	extraction	extraction	NOUN
cana-3636	73	12	method	method	NOUN
cana-3636	73	13	in	in	ADP
cana-3636	73	14	light	light	NOUN
cana-3636	73	15	of	of	ADP
cana-3636	73	16	the	the	DET
cana-3636	73	17	challenges	challenge	NOUN
cana-3636	73	18	and	and	CCONJ
cana-3636	73	19	limitations	limitation	NOUN
cana-3636	73	20	observed	observe	VERB
cana-3636	73	21	in	in	ADP
cana-3636	73	22	existing	exist	VERB
cana-3636	73	23	fecg	fecg	NOUN
cana-3636	73	24	signal	signal	NOUN
cana-3636	73	25	processing	processing	NOUN
cana-3636	73	26	algorithms	algorithm	NOUN
cana-3636	73	27	,	,	PUNCT
cana-3636	73	28	we	we	PRON
cana-3636	73	29	propose	propose	VERB
cana-3636	73	30	a	a	DET
cana-3636	73	31	novel	novel	ADJ
cana-3636	73	32	ensemble	ensemble	ADV
cana-3636	73	33	-	-	PUNCT
cana-3636	73	34	based	base	VERB
cana-3636	73	35	approach	approach	NOUN
cana-3636	73	36	for	for	ADP
cana-3636	73	37	enhancing	enhance	VERB
cana-3636	73	38	fecg	fecg	NOUN
cana-3636	73	39	signal	signal	NOUN
cana-3636	73	40	extraction	extraction	NOUN
cana-3636	73	41	using	use	VERB
cana-3636	73	42	cnns	cnn	NOUN
cana-3636	73	43	.	.	PUNCT
cana-3636	74	1	using	use	VERB
cana-3636	74	2	the	the	DET
cana-3636	74	3	complementing	complement	VERB
cana-3636	74	4	advantages	advantage	NOUN
cana-3636	74	5	of	of	ADP
cana-3636	74	6	several	several	ADJ
cana-3636	74	7	cnn	cnn	PROPN
cana-3636	74	8	models	model	NOUN
cana-3636	74	9	,	,	PUNCT
cana-3636	74	10	our	our	PRON
cana-3636	74	11	approach	approach	NOUN
cana-3636	74	12	aims	aim	VERB
cana-3636	74	13	to	to	PART
cana-3636	74	14	reduce	reduce	VERB
cana-3636	74	15	the	the	DET
cana-3636	74	16	inherent	inherent	ADJ
cana-3636	74	17	noise	noise	NOUN
cana-3636	74	18	and	and	CCONJ
cana-3636	74	19	variability	variability	NOUN
cana-3636	74	20	in	in	ADP
cana-3636	74	21	fecg	fecg	NOUN
cana-3636	74	22	data	datum	NOUN
cana-3636	74	23	.	.	PUNCT
cana-3636	75	1	in	in	ADP
cana-3636	75	2	addition	addition	NOUN
cana-3636	75	3	to	to	ADP
cana-3636	75	4	enhancing	enhance	VERB
cana-3636	75	5	signal	signal	NOUN
cana-3636	75	6	extraction	extraction	NOUN
cana-3636	75	7	,	,	PUNCT
cana-3636	75	8	this	this	DET
cana-3636	75	9	ensemble	ensemble	ADJ
cana-3636	75	10	cnn	cnn	PROPN
cana-3636	75	11	technique	technique	NOUN
cana-3636	75	12	guarantees	guarantee	VERB
cana-3636	75	13	more	more	ADV
cana-3636	75	14	dependable	dependable	ADJ
cana-3636	75	15	and	and	CCONJ
cana-3636	75	16	consistent	consistent	ADJ
cana-3636	75	17	results	result	NOUN
cana-3636	75	18	in	in	ADP
cana-3636	75	19	noisy	noisy	ADJ
cana-3636	75	20	settings	setting	NOUN
cana-3636	75	21	.	.	PUNCT
cana-3636	76	1	figure	figure	NOUN
cana-3636	76	2	1	1	NUM
cana-3636	76	3	shows	show	VERB
cana-3636	76	4	the	the	DET
cana-3636	76	5	architecture	architecture	NOUN
cana-3636	76	6	of	of	ADP
cana-3636	76	7	the	the	DET
cana-3636	76	8	suggested	suggest	VERB
cana-3636	76	9	fecg	fecg	PROPN
cana-3636	76	10	ensemble	ensemble	ADJ
cana-3636	76	11	cnn	cnn	PROPN
cana-3636	76	12	model	model	NOUN
cana-3636	76	13	.	.	PROPN
cana-3636	77	1	3.1	3.1	NUM
cana-3636	77	2	data	datum	NOUN
cana-3636	77	3	preprocessing	preprocessing	NOUN
cana-3636	77	4	and	and	CCONJ
cana-3636	77	5	normalization	normalization	NOUN
cana-3636	77	6	the	the	DET
cana-3636	77	7	training	training	NOUN
cana-3636	77	8	and	and	CCONJ
cana-3636	77	9	testing	testing	NOUN
cana-3636	77	10	data	datum	NOUN
cana-3636	77	11	were	be	AUX
cana-3636	77	12	taken	take	VERB
cana-3636	77	13	from	from	ADP
cana-3636	77	14	[	[	X
cana-3636	77	15	44	44	NUM
cana-3636	77	16	]	]	PUNCT
cana-3636	77	17	.	.	PUNCT
cana-3636	78	1	non	non	ADJ
cana-3636	78	2	-	-	ADJ
cana-3636	78	3	invasive	invasive	ADJ
cana-3636	78	4	normal	normal	ADJ
cana-3636	78	5	and	and	CCONJ
cana-3636	78	6	arrhythmia	arrhythmia	NOUN
cana-3636	78	7	fecg	fecg	NOUN
cana-3636	78	8	signals	signal	NOUN
cana-3636	78	9	captured	capture	VERB
cana-3636	78	10	at	at	ADP
cana-3636	78	11	a	a	DET
cana-3636	78	12	sampling	sample	VERB
cana-3636	78	13	frequency	frequency	NOUN
cana-3636	78	14	of	of	ADP
cana-3636	78	15	1	1	NUM
cana-3636	78	16	khz	khz	NOUN
cana-3636	78	17	are	be	AUX
cana-3636	78	18	included	include	VERB
cana-3636	78	19	.	.	PUNCT
cana-3636	79	1	by	by	ADP
cana-3636	79	2	placing	place	VERB
cana-3636	79	3	characteristics	characteristic	NOUN
cana-3636	79	4	on	on	ADP
cana-3636	79	5	a	a	DET
cana-3636	79	6	common	common	ADJ
cana-3636	79	7	scale	scale	NOUN
cana-3636	79	8	,	,	PUNCT
cana-3636	79	9	normalization	normalization	NOUN
cana-3636	79	10	is	be	AUX
cana-3636	79	11	an	an	DET
cana-3636	79	12	essential	essential	ADJ
cana-3636	79	13	preprocessing	preprocessing	NOUN
cana-3636	79	14	step	step	NOUN
cana-3636	79	15	that	that	PRON
cana-3636	79	16	improves	improve	VERB
cana-3636	79	17	the	the	DET
cana-3636	79	18	stability	stability	NOUN
cana-3636	79	19	and	and	CCONJ
cana-3636	79	20	performance	performance	NOUN
cana-3636	79	21	of	of	ADP
cana-3636	79	22	data	datum	NOUN
cana-3636	79	23	processing	processing	NOUN
cana-3636	79	24	and	and	CCONJ
cana-3636	79	25	ml	ml	ADP
cana-3636	79	26	algorithms	algorithm	NOUN
cana-3636	79	27	.	.	PUNCT
cana-3636	80	1	this	this	DET
cana-3636	80	2	procedure	procedure	NOUN
cana-3636	80	3	reduces	reduce	VERB
cana-3636	80	4	problems	problem	NOUN
cana-3636	80	5	with	with	ADP
cana-3636	80	6	numerical	numerical	ADJ
cana-3636	80	7	precision	precision	NOUN
cana-3636	80	8	,	,	PUNCT
cana-3636	80	9	enhances	enhance	VERB
cana-3636	80	10	interpretability	interpretability	NOUN
cana-3636	80	11	,	,	PUNCT
cana-3636	80	12	and	and	CCONJ
cana-3636	80	13	guarantees	guarantee	VERB
cana-3636	80	14	that	that	SCONJ
cana-3636	80	15	every	every	DET
cana-3636	80	16	feature	feature	NOUN
cana-3636	80	17	contributes	contribute	VERB
cana-3636	80	18	equally	equally	ADV
cana-3636	80	19	to	to	ADP
cana-3636	80	20	the	the	DET
cana-3636	80	21	communications	communication	NOUN
cana-3636	80	22	on	on	ADP
cana-3636	80	23	applied	apply	VERB
cana-3636	80	24	nonlinear	nonlinear	ADJ
cana-3636	80	25	analysis	analysis	NOUN
cana-3636	80	26	issn	issn	NOUN
cana-3636	80	27	:	:	PUNCT
cana-3636	80	28	1074	1074	NUM
cana-3636	80	29	-	-	PUNCT
cana-3636	80	30	133x	133x	NUM
cana-3636	80	31	vol	vol	NOUN
cana-3636	80	32	32	32	NUM
cana-3636	80	33	no	no	NOUN
cana-3636	80	34	.	.	PUNCT
cana-3636	81	1	8s	8s	PROPN
cana-3636	81	2	(	(	PUNCT
cana-3636	81	3	2025	2025	NUM
cana-3636	81	4	)	)	PUNCT
cana-3636	81	5	201	201	NUM
cana-3636	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	81	7	model	model	NOUN
cana-3636	81	8	.	.	PUNCT
cana-3636	82	1	for	for	ADP
cana-3636	82	2	distance	distance	NOUN
cana-3636	82	3	-	-	PUNCT
cana-3636	82	4	based	base	VERB
cana-3636	82	5	algorithms	algorithm	NOUN
cana-3636	82	6	,	,	PUNCT
cana-3636	82	7	where	where	SCONJ
cana-3636	82	8	unnormalized	unnormalized	ADJ
cana-3636	82	9	features	feature	NOUN
cana-3636	82	10	could	could	AUX
cana-3636	82	11	disproportionately	disproportionately	ADV
cana-3636	82	12	affect	affect	VERB
cana-3636	82	13	the	the	DET
cana-3636	82	14	results	result	NOUN
cana-3636	82	15	,	,	PUNCT
cana-3636	82	16	normalization	normalization	NOUN
cana-3636	82	17	is	be	AUX
cana-3636	82	18	particularly	particularly	ADV
cana-3636	82	19	helpful	helpful	ADJ
cana-3636	82	20	because	because	SCONJ
cana-3636	82	21	it	it	PRON
cana-3636	82	22	addresses	address	VERB
cana-3636	82	23	differences	difference	NOUN
cana-3636	82	24	in	in	ADP
cana-3636	82	25	units	unit	NOUN
cana-3636	82	26	and	and	CCONJ
cana-3636	82	27	ranges	range	NOUN
cana-3636	82	28	.	.	PUNCT
cana-3636	83	1	additionally	additionally	ADV
cana-3636	83	2	,	,	PUNCT
cana-3636	83	3	it	it	PRON
cana-3636	83	4	helps	help	VERB
cana-3636	83	5	meet	meet	VERB
cana-3636	83	6	the	the	DET
cana-3636	83	7	presumptions	presumption	NOUN
cana-3636	83	8	of	of	ADP
cana-3636	83	9	different	different	ADJ
cana-3636	83	10	machine	machine	NOUN
cana-3636	83	11	learning	learn	VERB
cana-3636	83	12	algorithms	algorithm	NOUN
cana-3636	83	13	that	that	PRON
cana-3636	83	14	anticipate	anticipate	VERB
cana-3636	83	15	inputs	input	NOUN
cana-3636	83	16	with	with	ADP
cana-3636	83	17	similar	similar	ADJ
cana-3636	83	18	sizes	size	NOUN
cana-3636	83	19	.	.	PUNCT
cana-3636	84	1	the	the	DET
cana-3636	84	2	fecg	fecg	NOUN
cana-3636	84	3	signals	signal	NOUN
cana-3636	84	4	were	be	AUX
cana-3636	84	5	normalised	normalise	VERB
cana-3636	84	6	to	to	PART
cana-3636	84	7	ensure	ensure	VERB
cana-3636	84	8	consistency	consistency	NOUN
cana-3636	84	9	and	and	CCONJ
cana-3636	84	10	highlight	highlight	VERB
cana-3636	84	11	pertinent	pertinent	ADJ
cana-3636	84	12	features	feature	NOUN
cana-3636	84	13	,	,	PUNCT
cana-3636	84	14	which	which	PRON
cana-3636	84	15	is	be	AUX
cana-3636	84	16	essential	essential	ADJ
cana-3636	84	17	for	for	ADP
cana-3636	84	18	precise	precise	ADJ
cana-3636	84	19	analysis	analysis	NOUN
cana-3636	84	20	when	when	SCONJ
cana-3636	84	21	noise	noise	NOUN
cana-3636	84	22	is	be	AUX
cana-3636	84	23	present	present	ADJ
cana-3636	84	24	.	.	PUNCT
cana-3636	85	1	matlab	matlab	PROPN
cana-3636	85	2	's	's	PART
cana-3636	85	3	normalize	normalize	NOUN
cana-3636	85	4	function	function	NOUN
cana-3636	85	5	was	be	AUX
cana-3636	85	6	used	use	VERB
cana-3636	85	7	to	to	PART
cana-3636	85	8	conduct	conduct	VERB
cana-3636	85	9	this	this	DET
cana-3636	85	10	normalization	normalization	NOUN
cana-3636	85	11	,	,	PUNCT
cana-3636	85	12	converting	convert	VERB
cana-3636	85	13	the	the	DET
cana-3636	85	14	data	datum	NOUN
cana-3636	85	15	x	x	ADP
cana-3636	85	16	using	use	VERB
cana-3636	85	17	the	the	DET
cana-3636	85	18	following	follow	VERB
cana-3636	85	19	formula	formula	NOUN
cana-3636	85	20	for	for	ADP
cana-3636	85	21	each	each	DET
cana-3636	85	22	feature	feature	NOUN
cana-3636	85	23	xi	xi	ADP
cana-3636	85	24	:	:	PUNCT
cana-3636	85	25	(	(	PUNCT
cana-3636	85	26	1	1	X
cana-3636	85	27	)	)	PUNCT
cana-3636	85	28	where	where	SCONJ
cana-3636	85	29	:	:	PUNCT
cana-3636	85	30	𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑	𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑	PROPN
cana-3636	85	31	normalized	normalize	VERB
cana-3636	85	32	is	be	AUX
cana-3636	85	33	the	the	DET
cana-3636	85	34	normalized	normalize	VERB
cana-3636	85	35	fecg	fecg	NOUN
cana-3636	85	36	feature	feature	NOUN
cana-3636	85	37	value	value	NOUN
cana-3636	85	38	,	,	PUNCT
cana-3636	85	39	𝑖	𝑖	VERB
cana-3636	85	40	i	i	NOUN
cana-3636	85	41	xi	xi	PROPN
cana-3636	85	42	represents	represent	VERB
cana-3636	85	43	each	each	DET
cana-3636	85	44	original	original	ADJ
cana-3636	85	45	fecg	fecg	NOUN
cana-3636	85	46	feature	feature	NOUN
cana-3636	85	47	value	value	NOUN
cana-3636	85	48	,	,	PUNCT
cana-3636	85	49	µ	µ	X
cana-3636	85	50	is	be	AUX
cana-3636	85	51	the	the	DET
cana-3636	85	52	mean	mean	NOUN
cana-3636	85	53	of	of	ADP
cana-3636	85	54	the	the	DET
cana-3636	85	55	fecg	fecg	NOUN
cana-3636	85	56	feature	feature	NOUN
cana-3636	85	57	,	,	PUNCT
cana-3636	85	58	and	and	CCONJ
cana-3636	85	59	σ	σ	PROPN
cana-3636	85	60	is	be	AUX
cana-3636	85	61	the	the	DET
cana-3636	85	62	standard	standard	ADJ
cana-3636	85	63	deviation	deviation	NOUN
cana-3636	85	64	of	of	ADP
cana-3636	85	65	the	the	DET
cana-3636	85	66	fecg	fecg	NOUN
cana-3636	85	67	feature	feature	NOUN
cana-3636	85	68	.	.	PUNCT
cana-3636	86	1	fig.1	fig.1	ADJ
cana-3636	86	2	an	an	DET
cana-3636	86	3	ensemble	ensemble	NOUN
cana-3636	86	4	of	of	ADP
cana-3636	86	5	cnns	cnns	ADJ
cana-3636	86	6	model	model	NOUN
cana-3636	86	7	for	for	ADP
cana-3636	86	8	enhancement	enhancement	NOUN
cana-3636	86	9	of	of	ADP
cana-3636	86	10	fecg	fecg	NOUN
cana-3636	86	11	signal	signal	NOUN
cana-3636	86	12	quality	quality	NOUN
cana-3636	86	13	communications	communication	NOUN
cana-3636	86	14	on	on	ADP
cana-3636	86	15	applied	apply	VERB
cana-3636	86	16	nonlinear	nonlinear	ADJ
cana-3636	86	17	analysis	analysis	NOUN
cana-3636	86	18	issn	issn	NOUN
cana-3636	86	19	:	:	PUNCT
cana-3636	86	20	1074	1074	NUM
cana-3636	86	21	-	-	PUNCT
cana-3636	86	22	133x	133x	NUM
cana-3636	86	23	vol	vol	NOUN
cana-3636	86	24	32	32	NUM
cana-3636	86	25	no	no	NOUN
cana-3636	86	26	.	.	PUNCT
cana-3636	87	1	8s	8s	PROPN
cana-3636	87	2	(	(	PUNCT
cana-3636	87	3	2025	2025	NUM
cana-3636	87	4	)	)	PUNCT
cana-3636	87	5	202	202	NUM
cana-3636	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	87	7	dealing	deal	VERB
cana-3636	87	8	with	with	ADP
cana-3636	87	9	different	different	ADJ
cana-3636	87	10	signal	signal	NOUN
cana-3636	87	11	magnitudes	magnitude	NOUN
cana-3636	87	12	in	in	ADP
cana-3636	87	13	fecg	fecg	NOUN
cana-3636	87	14	data	datum	NOUN
cana-3636	87	15	is	be	AUX
cana-3636	87	16	made	make	VERB
cana-3636	87	17	easier	easy	ADJ
cana-3636	87	18	using	use	VERB
cana-3636	87	19	this	this	DET
cana-3636	87	20	z	z	NOUN
cana-3636	87	21	-	-	PUNCT
cana-3636	87	22	score	score	NOUN
cana-3636	87	23	normalization	normalization	NOUN
cana-3636	87	24	,	,	PUNCT
cana-3636	87	25	which	which	PRON
cana-3636	87	26	changes	change	VERB
cana-3636	87	27	the	the	DET
cana-3636	87	28	data	datum	NOUN
cana-3636	87	29	to	to	PART
cana-3636	87	30	have	have	VERB
cana-3636	87	31	a	a	DET
cana-3636	87	32	mean	mean	NOUN
cana-3636	87	33	of	of	ADP
cana-3636	87	34	zero	zero	NUM
cana-3636	87	35	and	and	CCONJ
cana-3636	87	36	a	a	DET
cana-3636	87	37	standard	standard	ADJ
cana-3636	87	38	deviation	deviation	NOUN
cana-3636	87	39	of	of	ADP
cana-3636	87	40	one	one	NUM
cana-3636	87	41	.	.	PUNCT
cana-3636	88	1	in	in	ADP
cana-3636	88	2	order	order	NOUN
cana-3636	88	3	to	to	PART
cana-3636	88	4	ensure	ensure	VERB
cana-3636	88	5	that	that	SCONJ
cana-3636	88	6	the	the	DET
cana-3636	88	7	ml	ml	NOUN
cana-3636	88	8	models	model	NOUN
cana-3636	88	9	can	can	AUX
cana-3636	88	10	accurately	accurately	ADV
cana-3636	88	11	identify	identify	VERB
cana-3636	88	12	patterns	pattern	NOUN
cana-3636	88	13	within	within	ADP
cana-3636	88	14	the	the	DET
cana-3636	88	15	fecg	fecg	NOUN
cana-3636	88	16	signals	signal	NOUN
cana-3636	88	17	without	without	ADP
cana-3636	88	18	favouring	favour	VERB
cana-3636	88	19	any	any	DET
cana-3636	88	20	one	one	NUM
cana-3636	88	21	range	range	NOUN
cana-3636	88	22	or	or	CCONJ
cana-3636	88	23	scale	scale	NOUN
cana-3636	88	24	,	,	PUNCT
cana-3636	88	25	the	the	DET
cana-3636	88	26	resulting	result	VERB
cana-3636	88	27	normalised	normalise	VERB
cana-3636	88	28	signals	signal	NOUN
cana-3636	88	29	enable	enable	VERB
cana-3636	88	30	more	more	ADV
cana-3636	88	31	consistent	consistent	ADJ
cana-3636	88	32	and	and	CCONJ
cana-3636	88	33	comprehensible	comprehensible	ADJ
cana-3636	88	34	analysis	analysis	NOUN
cana-3636	88	35	.	.	PUNCT
cana-3636	89	1	3.2	3.2	NUM
cana-3636	89	2	data	datum	NOUN
cana-3636	89	3	augmentation	augmentation	NOUN
cana-3636	89	4	and	and	CCONJ
cana-3636	89	5	preparation	preparation	NOUN
cana-3636	89	6	we	we	PRON
cana-3636	89	7	applied	apply	VERB
cana-3636	89	8	several	several	ADJ
cana-3636	89	9	noise	noise	NOUN
cana-3636	89	10	levels	level	NOUN
cana-3636	89	11	to	to	ADP
cana-3636	89	12	the	the	DET
cana-3636	89	13	fecg	fecg	NOUN
cana-3636	89	14	signal	signal	NOUN
cana-3636	89	15	(	(	PUNCT
cana-3636	89	16	5db	5db	ADJ
cana-3636	89	17	,	,	PUNCT
cana-3636	89	18	10db	10db	ADJ
cana-3636	89	19	,	,	PUNCT
cana-3636	89	20	15db	15db	ADJ
cana-3636	89	21	,	,	PUNCT
cana-3636	89	22	20db	20db	ADJ
cana-3636	89	23	,	,	PUNCT
cana-3636	89	24	25db	25db	ADJ
cana-3636	89	25	,	,	PUNCT
cana-3636	89	26	and	and	CCONJ
cana-3636	89	27	30db	30db	NUM
cana-3636	89	28	)	)	PUNCT
cana-3636	90	1	in	in	ADP
cana-3636	90	2	order	order	NOUN
cana-3636	90	3	to	to	PART
cana-3636	90	4	create	create	VERB
cana-3636	90	5	the	the	DET
cana-3636	90	6	cnn	cnn	PROPN
cana-3636	90	7	training	training	NOUN
cana-3636	90	8	data	datum	NOUN
cana-3636	90	9	.	.	PUNCT
cana-3636	91	1	to	to	PART
cana-3636	91	2	generate	generate	VERB
cana-3636	91	3	input	input	NOUN
cana-3636	91	4	-	-	PUNCT
cana-3636	91	5	output	output	NOUN
cana-3636	91	6	pairings	pairing	NOUN
cana-3636	91	7	,	,	PUNCT
cana-3636	91	8	a	a	DET
cana-3636	91	9	sliding	slide	VERB
cana-3636	91	10	window	window	NOUN
cana-3636	91	11	technique	technique	NOUN
cana-3636	91	12	was	be	AUX
cana-3636	91	13	used	use	VERB
cana-3636	91	14	,	,	PUNCT
cana-3636	91	15	with	with	ADP
cana-3636	91	16	a	a	DET
cana-3636	91	17	stride	stride	NOUN
cana-3636	91	18	of	of	ADP
cana-3636	91	19	250	250	NUM
cana-3636	91	20	samples	sample	NOUN
cana-3636	91	21	and	and	CCONJ
cana-3636	91	22	a	a	DET
cana-3636	91	23	window	window	NOUN
cana-3636	91	24	size	size	NOUN
cana-3636	91	25	of	of	ADP
cana-3636	91	26	1000	1000	NUM
cana-3636	91	27	samples	sample	NOUN
cana-3636	91	28	.	.	PUNCT
cana-3636	92	1	the	the	DET
cana-3636	92	2	equation	equation	NOUN
cana-3636	92	3	for	for	ADP
cana-3636	92	4	the	the	DET
cana-3636	92	5	sliding	slide	VERB
cana-3636	92	6	window	window	NOUN
cana-3636	92	7	approach	approach	NOUN
cana-3636	92	8	is	be	AUX
cana-3636	92	9	given	give	VERB
cana-3636	92	10	by	by	ADP
cana-3636	92	11	:	:	PUNCT
cana-3636	92	12	𝑖𝑛𝑑𝑜	𝑖𝑛𝑑𝑜	PROPN
cana-3636	92	13	𝑖	𝑖	VERB
cana-3636	92	14	𝑛	𝑛	PRON
cana-3636	92	15	𝑛	𝑛	ADJ
cana-3636	92	16	(	(	PUNCT
cana-3636	92	17	2	2	NUM
cana-3636	92	18	)	)	PUNCT
cana-3636	92	19	where	where	SCONJ
cana-3636	92	20	windown	windown	NOUN
cana-3636	92	21	is	be	AUX
cana-3636	92	22	the	the	DET
cana-3636	92	23	nth	nth	ADJ
cana-3636	92	24	window	window	NOUN
cana-3636	92	25	of	of	ADP
cana-3636	92	26	the	the	DET
cana-3636	92	27	signal	signal	NOUN
cana-3636	92	28	,	,	PUNCT
cana-3636	92	29	xi	xi	PROPN
cana-3636	92	30	represents	represent	VERB
cana-3636	92	31	the	the	DET
cana-3636	92	32	fecg	fecg	PROPN
cana-3636	92	33	signal	signal	PROPN
cana-3636	92	34	data	datum	NOUN
cana-3636	92	35	,	,	PUNCT
cana-3636	92	36	w	w	PROPN
cana-3636	92	37	is	be	AUX
cana-3636	92	38	the	the	DET
cana-3636	92	39	window	window	NOUN
cana-3636	92	40	size	size	NOUN
cana-3636	92	41	(	(	PUNCT
cana-3636	92	42	1000	1000	NUM
cana-3636	92	43	samples	sample	NOUN
cana-3636	92	44	in	in	ADP
cana-3636	92	45	this	this	DET
cana-3636	92	46	case	case	NOUN
cana-3636	92	47	)	)	PUNCT
cana-3636	92	48	and	and	CCONJ
cana-3636	92	49	n	n	PRON
cana-3636	92	50	is	be	AUX
cana-3636	92	51	the	the	DET
cana-3636	92	52	starting	start	VERB
cana-3636	92	53	index	index	NOUN
cana-3636	92	54	of	of	ADP
cana-3636	92	55	each	each	DET
cana-3636	92	56	window	window	NOUN
cana-3636	92	57	.	.	PUNCT
cana-3636	93	1	the	the	DET
cana-3636	93	2	stride	stride	NOUN
cana-3636	93	3	s	s	NOUN
cana-3636	93	4	of	of	ADP
cana-3636	93	5	250	250	NUM
cana-3636	93	6	samples	sample	NOUN
cana-3636	93	7	determines	determine	VERB
cana-3636	93	8	the	the	DET
cana-3636	93	9	overlap	overlap	NOUN
cana-3636	93	10	between	between	ADP
cana-3636	93	11	consecutive	consecutive	ADJ
cana-3636	93	12	windows	window	NOUN
cana-3636	93	13	,	,	PUNCT
cana-3636	93	14	so	so	SCONJ
cana-3636	93	15	the	the	DET
cana-3636	93	16	starting	start	VERB
cana-3636	93	17	index	index	NOUN
cana-3636	93	18	of	of	ADP
cana-3636	93	19	the	the	DET
cana-3636	93	20	next	next	ADJ
cana-3636	93	21	window	window	NOUN
cana-3636	93	22	will	will	AUX
cana-3636	93	23	be	be	AUX
cana-3636	93	24	:	:	PUNCT
cana-3636	93	25	𝑛𝑛𝑒	𝑛𝑛𝑒	NUM
cana-3636	93	26	𝑡	𝑡	X
cana-3636	93	27	=	=	VERB
cana-3636	93	28	𝑛	𝑛	PROPN
cana-3636	93	29	+	+	CCONJ
cana-3636	93	30	𝑆	𝑆	PROPN
cana-3636	93	31	(	(	PUNCT
cana-3636	93	32	3	3	NUM
cana-3636	93	33	)	)	PUNCT
cana-3636	93	34	for	for	ADP
cana-3636	93	35	varying	vary	VERB
cana-3636	93	36	noise	noise	NOUN
cana-3636	93	37	levels	level	NOUN
cana-3636	93	38	(	(	PUNCT
cana-3636	93	39	5db	5db	ADJ
cana-3636	93	40	,	,	PUNCT
cana-3636	93	41	10db	10db	ADJ
cana-3636	93	42	,	,	PUNCT
cana-3636	93	43	15db	15db	ADJ
cana-3636	93	44	,	,	PUNCT
cana-3636	93	45	20db	20db	ADJ
cana-3636	93	46	,	,	PUNCT
cana-3636	93	47	25db	25db	ADJ
cana-3636	93	48	,	,	PUNCT
cana-3636	93	49	and	and	CCONJ
cana-3636	93	50	30db	30db	NUM
cana-3636	93	51	)	)	PUNCT
cana-3636	93	52	,	,	PUNCT
cana-3636	93	53	gaussian	gaussian	NOUN
cana-3636	93	54	noise	noise	NOUN
cana-3636	93	55	n	n	X
cana-3636	93	56	db	db	PROPN
cana-3636	93	57	is	be	AUX
cana-3636	93	58	added	add	VERB
cana-3636	93	59	to	to	ADP
cana-3636	93	60	the	the	DET
cana-3636	93	61	fecg	fecg	NOUN
cana-3636	93	62	signal	signal	NOUN
cana-3636	93	63	:	:	PUNCT
cana-3636	94	1	𝑁	𝑁	PROPN
cana-3636	94	2	(	(	PUNCT
cana-3636	94	3	4	4	NUM
cana-3636	94	4	)	)	PUNCT
cana-3636	94	5	where	where	SCONJ
cana-3636	94	6	𝑁	𝑁	PROPN
cana-3636	94	7	the	the	DET
cana-3636	94	8	noise	noise	NOUN
cana-3636	94	9	with	with	ADP
cana-3636	94	10	a	a	DET
cana-3636	94	11	specific	specific	ADJ
cana-3636	94	12	db	db	NOUN
cana-3636	94	13	is	be	AUX
cana-3636	94	14	level	level	NOUN
cana-3636	94	15	,	,	PUNCT
cana-3636	94	16	and	and	CCONJ
cana-3636	94	17	is	be	AUX
cana-3636	94	18	the	the	DET
cana-3636	94	19	noisy	noisy	ADJ
cana-3636	94	20	fecg	fecg	NOUN
cana-3636	94	21	signal	signal	NOUN
cana-3636	94	22	.	.	PUNCT
cana-3636	95	1	the	the	DET
cana-3636	95	2	output	output	NOUN
cana-3636	95	3	data	datum	NOUN
cana-3636	95	4	were	be	AUX
cana-3636	95	5	the	the	DET
cana-3636	95	6	clean	clean	ADJ
cana-3636	95	7	signal	signal	NOUN
cana-3636	95	8	segments	segment	NOUN
cana-3636	95	9	,	,	PUNCT
cana-3636	95	10	which	which	PRON
cana-3636	95	11	served	serve	VERB
cana-3636	95	12	as	as	ADP
cana-3636	95	13	the	the	DET
cana-3636	95	14	denoising	denoising	NOUN
cana-3636	95	15	goal	goal	NOUN
cana-3636	95	16	.	.	PUNCT
cana-3636	96	1	in	in	ADP
cana-3636	96	2	the	the	DET
cana-3636	96	3	meantime	meantime	NOUN
cana-3636	96	4	,	,	PUNCT
cana-3636	96	5	the	the	DET
cana-3636	96	6	cnn	cnn	PROPN
cana-3636	96	7	training	training	NOUN
cana-3636	96	8	process	process	NOUN
cana-3636	96	9	employed	employ	VERB
cana-3636	96	10	the	the	DET
cana-3636	96	11	relevant	relevant	ADJ
cana-3636	96	12	noisy	noisy	ADJ
cana-3636	96	13	segments	segment	NOUN
cana-3636	96	14	as	as	ADP
cana-3636	96	15	input	input	NOUN
cana-3636	96	16	data	datum	NOUN
cana-3636	96	17	.	.	PUNCT
cana-3636	97	1	the	the	DET
cana-3636	97	2	network	network	NOUN
cana-3636	97	3	was	be	AUX
cana-3636	97	4	able	able	ADJ
cana-3636	97	5	to	to	PART
cana-3636	97	6	efficiently	efficiently	ADV
cana-3636	97	7	train	train	VERB
cana-3636	97	8	and	and	CCONJ
cana-3636	97	9	reduce	reduce	VERB
cana-3636	97	10	noise	noise	NOUN
cana-3636	97	11	from	from	ADP
cana-3636	97	12	fecg	fecg	NOUN
cana-3636	97	13	signals	signal	NOUN
cana-3636	97	14	at	at	ADP
cana-3636	97	15	various	various	ADJ
cana-3636	97	16	noise	noise	NOUN
cana-3636	97	17	levels	level	NOUN
cana-3636	97	18	because	because	SCONJ
cana-3636	97	19	to	to	ADP
cana-3636	97	20	this	this	DET
cana-3636	97	21	technique	technique	NOUN
cana-3636	97	22	.	.	PUNCT
cana-3636	98	1	while	while	SCONJ
cana-3636	98	2	the	the	DET
cana-3636	98	3	noisy	noisy	ADJ
cana-3636	98	4	signal	signal	NOUN
cana-3636	98	5	segments	segment	NOUN
cana-3636	98	6	xnoisy	xnoisy	PROPN
cana-3636	98	7	were	be	AUX
cana-3636	98	8	utilized	utilize	VERB
cana-3636	98	9	as	as	ADP
cana-3636	98	10	the	the	DET
cana-3636	98	11	input	input	NOUN
cana-3636	98	12	for	for	ADP
cana-3636	98	13	cnn	cnn	PROPN
cana-3636	98	14	training	training	NOUN
cana-3636	98	15	,	,	PUNCT
cana-3636	98	16	the	the	DET
cana-3636	98	17	clean	clean	ADJ
cana-3636	98	18	signal	signal	NOUN
cana-3636	98	19	segments	segment	NOUN
cana-3636	98	20	xclean	xclean	NOUN
cana-3636	98	21	were	be	AUX
cana-3636	98	22	regarded	regard	VERB
cana-3636	98	23	as	as	ADP
cana-3636	98	24	the	the	DET
cana-3636	98	25	output	output	NOUN
cana-3636	98	26	for	for	ADP
cana-3636	98	27	the	the	DET
cana-3636	98	28	denoising	denoising	NOUN
cana-3636	98	29	procedure	procedure	NOUN
cana-3636	98	30	.	.	PUNCT
cana-3636	99	1	the	the	DET
cana-3636	99	2	network	network	NOUN
cana-3636	99	3	's	's	PART
cana-3636	99	4	input	input	NOUN
cana-3636	99	5	and	and	CCONJ
cana-3636	99	6	output	output	NOUN
cana-3636	99	7	data	datum	NOUN
cana-3636	99	8	relationships	relationship	NOUN
cana-3636	99	9	can	can	AUX
cana-3636	99	10	be	be	AUX
cana-3636	99	11	stated	state	VERB
cana-3636	99	12	as	as	SCONJ
cana-3636	99	13	follows	follow	VERB
cana-3636	99	14	:	:	PUNCT
cana-3636	99	15	𝑁	𝑁	PROPN
cana-3636	99	16	(	(	PUNCT
cana-3636	99	17	5	5	NUM
cana-3636	99	18	)	)	PUNCT
cana-3636	99	19	where	where	SCONJ
cana-3636	99	20	,	,	PUNCT
cana-3636	99	21	xclean	xclean	NOUN
cana-3636	99	22	is	be	AUX
cana-3636	99	23	the	the	DET
cana-3636	99	24	clean	clean	ADJ
cana-3636	99	25	segment	segment	NOUN
cana-3636	99	26	of	of	ADP
cana-3636	99	27	the	the	DET
cana-3636	99	28	fecg	fecg	NOUN
cana-3636	99	29	signal	signal	NOUN
cana-3636	99	30	,	,	PUNCT
cana-3636	99	31	xnoisy	xnoisy	PROPN
cana-3636	99	32	is	be	AUX
cana-3636	99	33	the	the	DET
cana-3636	99	34	noisy	noisy	ADJ
cana-3636	99	35	segment	segment	NOUN
cana-3636	99	36	of	of	ADP
cana-3636	99	37	the	the	DET
cana-3636	99	38	fecg	fecg	NOUN
cana-3636	99	39	signal	signal	NOUN
cana-3636	99	40	,	,	PUNCT
cana-3636	99	41	and	and	CCONJ
cana-3636	99	42	ndb	ndb	NOUN
cana-3636	99	43	represents	represent	VERB
cana-3636	99	44	the	the	DET
cana-3636	99	45	added	add	VERB
cana-3636	99	46	noise	noise	NOUN
cana-3636	99	47	at	at	ADP
cana-3636	99	48	a	a	DET
cana-3636	99	49	specific	specific	ADJ
cana-3636	99	50	db	db	NOUN
cana-3636	99	51	level	level	NOUN
cana-3636	99	52	.	.	PUNCT
cana-3636	100	1	thus	thus	ADV
cana-3636	100	2	,	,	PUNCT
cana-3636	100	3	the	the	DET
cana-3636	100	4	cnn	cnn	PROPN
cana-3636	100	5	learns	learn	VERB
cana-3636	100	6	to	to	PART
cana-3636	100	7	map	map	VERB
cana-3636	100	8	the	the	DET
cana-3636	100	9	noisy	noisy	ADJ
cana-3636	100	10	input	input	NOUN
cana-3636	100	11	data	datum	NOUN
cana-3636	100	12	xnoisy	xnoisy	PROPN
cana-3636	100	13	to	to	ADP
cana-3636	100	14	the	the	DET
cana-3636	100	15	clean	clean	ADJ
cana-3636	100	16	output	output	NOUN
cana-3636	100	17	data	datum	NOUN
cana-3636	100	18	xclean	xclean	NOUN
cana-3636	100	19	,	,	PUNCT
cana-3636	100	20	allowing	allow	VERB
cana-3636	100	21	it	it	PRON
cana-3636	100	22	to	to	PART
cana-3636	100	23	effectively	effectively	ADV
cana-3636	100	24	reduce	reduce	VERB
cana-3636	100	25	noise	noise	NOUN
cana-3636	100	26	and	and	CCONJ
cana-3636	100	27	enhance	enhance	VERB
cana-3636	100	28	the	the	DET
cana-3636	100	29	quality	quality	NOUN
cana-3636	100	30	of	of	ADP
cana-3636	100	31	the	the	DET
cana-3636	100	32	fecg	fecg	NOUN
cana-3636	100	33	signals	signal	NOUN
cana-3636	100	34	during	during	ADP
cana-3636	100	35	training	training	NOUN
cana-3636	100	36	.	.	PUNCT
cana-3636	101	1	for	for	ADP
cana-3636	101	2	cnn	cnn	PROPN
cana-3636	101	3	training	training	NOUN
cana-3636	101	4	,	,	PUNCT
cana-3636	101	5	the	the	DET
cana-3636	101	6	input	input	NOUN
cana-3636	101	7	and	and	CCONJ
cana-3636	101	8	output	output	NOUN
cana-3636	101	9	signals	signal	NOUN
cana-3636	101	10	were	be	AUX
cana-3636	101	11	rearranged	rearrange	VERB
cana-3636	101	12	to	to	PART
cana-3636	101	13	fit	fit	VERB
cana-3636	101	14	the	the	DET
cana-3636	101	15	format	format	NOUN
cana-3636	101	16	specifications	specification	NOUN
cana-3636	101	17	.	.	PUNCT
cana-3636	102	1	a	a	DET
cana-3636	102	2	4d	4d	NUM
cana-3636	102	3	array	array	NOUN
cana-3636	102	4	with	with	ADP
cana-3636	102	5	dimensions	dimension	NOUN
cana-3636	102	6	appropriate	appropriate	ADJ
cana-3636	102	7	for	for	ADP
cana-3636	102	8	feeding	feed	VERB
cana-3636	102	9	into	into	ADP
cana-3636	102	10	the	the	DET
cana-3636	102	11	neural	neural	ADJ
cana-3636	102	12	network	network	NOUN
cana-3636	102	13	was	be	AUX
cana-3636	102	14	created	create	VERB
cana-3636	102	15	from	from	ADP
cana-3636	102	16	the	the	DET
cana-3636	102	17	noisy	noisy	ADJ
cana-3636	102	18	and	and	CCONJ
cana-3636	102	19	clean	clean	ADJ
cana-3636	102	20	signal	signal	NOUN
cana-3636	102	21	segments	segment	NOUN
cana-3636	102	22	,	,	PUNCT
cana-3636	102	23	respectively	respectively	ADV
cana-3636	102	24	.	.	PUNCT
cana-3636	103	1	this	this	DET
cana-3636	103	2	reshaping	reshape	VERB
cana-3636	103	3	procedure	procedure	NOUN
cana-3636	103	4	accommodates	accommodate	VERB
cana-3636	103	5	the	the	DET
cana-3636	103	6	number	number	NOUN
cana-3636	103	7	of	of	ADP
cana-3636	103	8	channels	channel	NOUN
cana-3636	103	9	,	,	PUNCT
cana-3636	103	10	the	the	DET
cana-3636	103	11	number	number	NOUN
cana-3636	103	12	of	of	ADP
cana-3636	103	13	samples	sample	NOUN
cana-3636	103	14	within	within	ADP
cana-3636	103	15	each	each	DET
cana-3636	103	16	batch	batch	NOUN
cana-3636	103	17	,	,	PUNCT
cana-3636	103	18	the	the	DET
cana-3636	103	19	batch	batch	NOUN
cana-3636	103	20	size	size	NOUN
cana-3636	103	21	,	,	PUNCT
cana-3636	103	22	and	and	CCONJ
cana-3636	103	23	the	the	DET
cana-3636	103	24	signal	signal	ADJ
cana-3636	103	25	length	length	NOUN
cana-3636	103	26	,	,	PUNCT
cana-3636	103	27	enabling	enable	VERB
cana-3636	103	28	the	the	DET
cana-3636	103	29	cnn	cnn	PROPN
cana-3636	103	30	to	to	PART
cana-3636	103	31	handle	handle	VERB
cana-3636	103	32	the	the	DET
cana-3636	103	33	signals	signal	NOUN
cana-3636	103	34	efficiently	efficiently	ADV
cana-3636	103	35	.	.	PUNCT
cana-3636	104	1	communications	communication	NOUN
cana-3636	104	2	on	on	ADP
cana-3636	104	3	applied	apply	VERB
cana-3636	104	4	nonlinear	nonlinear	ADJ
cana-3636	104	5	analysis	analysis	NOUN
cana-3636	104	6	issn	issn	NOUN
cana-3636	104	7	:	:	PUNCT
cana-3636	104	8	1074	1074	NUM
cana-3636	104	9	-	-	PUNCT
cana-3636	104	10	133x	133x	NUM
cana-3636	104	11	vol	vol	NOUN
cana-3636	104	12	32	32	NUM
cana-3636	104	13	no	no	NOUN
cana-3636	104	14	.	.	PUNCT
cana-3636	105	1	8s	8s	PROPN
cana-3636	105	2	(	(	PUNCT
cana-3636	105	3	2025	2025	NUM
cana-3636	105	4	)	)	PUNCT
cana-3636	105	5	203	203	NUM
cana-3636	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	105	7	the	the	DET
cana-3636	105	8	resulting	result	VERB
cana-3636	105	9	data	data	NOUN
cana-3636	105	10	format	format	NOUN
cana-3636	105	11	can	can	AUX
cana-3636	105	12	be	be	AUX
cana-3636	105	13	expressed	express	VERB
cana-3636	105	14	as	as	ADP
cana-3636	105	15	:	:	PUNCT
cana-3636	105	16	xinput	xinput	NOUN
cana-3636	105	17	=	=	PUNCT
cana-3636	106	1	[	[	X
cana-3636	106	2	batch	batch	NOUN
cana-3636	106	3	size	size	NOUN
cana-3636	106	4	,	,	PUNCT
cana-3636	106	5	signal	signal	NOUN
cana-3636	106	6	length	length	NOUN
cana-3636	106	7	,	,	PUNCT
cana-3636	106	8	channels	channel	NOUN
cana-3636	106	9	,	,	PUNCT
cana-3636	106	10	samples	sample	NOUN
cana-3636	106	11	]	]	PUNCT
cana-3636	106	12	(	(	PUNCT
cana-3636	106	13	6	6	NUM
cana-3636	106	14	)	)	PUNCT
cana-3636	106	15	where	where	SCONJ
cana-3636	106	16	,	,	PUNCT
cana-3636	106	17	xinput	xinput	PROPN
cana-3636	106	18	represents	represent	VERB
cana-3636	106	19	the	the	DET
cana-3636	106	20	input	input	NOUN
cana-3636	106	21	noisy	noisy	ADJ
cana-3636	106	22	fecg	fecg	PROPN
cana-3636	106	23	signal	signal	PROPN
cana-3636	106	24	data	datum	NOUN
cana-3636	106	25	,	,	PUNCT
cana-3636	106	26	batch	batch	NOUN
cana-3636	106	27	size	size	NOUN
cana-3636	106	28	refers	refer	VERB
cana-3636	106	29	to	to	ADP
cana-3636	106	30	the	the	DET
cana-3636	106	31	number	number	NOUN
cana-3636	106	32	of	of	ADP
cana-3636	106	33	training	training	NOUN
cana-3636	106	34	examples	example	NOUN
cana-3636	106	35	processed	process	VERB
cana-3636	106	36	in	in	ADP
cana-3636	106	37	one	one	NUM
cana-3636	106	38	forward	forward	ADV
cana-3636	106	39	pass	pass	NOUN
cana-3636	106	40	,	,	PUNCT
cana-3636	106	41	signal	signal	ADJ
cana-3636	106	42	length	length	NOUN
cana-3636	106	43	corresponds	correspond	VERB
cana-3636	106	44	to	to	ADP
cana-3636	106	45	the	the	DET
cana-3636	106	46	number	number	NOUN
cana-3636	106	47	of	of	ADP
cana-3636	106	48	time	time	NOUN
cana-3636	106	49	steps	step	NOUN
cana-3636	106	50	per	per	ADP
cana-3636	106	51	signal	signal	NOUN
cana-3636	106	52	and	and	CCONJ
cana-3636	106	53	channels	channel	NOUN
cana-3636	106	54	refers	refer	VERB
cana-3636	106	55	to	to	ADP
cana-3636	106	56	the	the	DET
cana-3636	106	57	number	number	NOUN
cana-3636	106	58	of	of	ADP
cana-3636	106	59	signal	signal	NOUN
cana-3636	106	60	features	feature	NOUN
cana-3636	106	61	(	(	PUNCT
cana-3636	106	62	e.g.	e.g.	ADV
cana-3636	106	63	,	,	PUNCT
cana-3636	106	64	in	in	ADP
cana-3636	106	65	the	the	DET
cana-3636	106	66	case	case	NOUN
cana-3636	106	67	of	of	ADP
cana-3636	106	68	multichannel	multichannel	ADJ
cana-3636	106	69	signals	signal	NOUN
cana-3636	106	70	)	)	PUNCT
cana-3636	106	71	,	,	PUNCT
cana-3636	106	72	and	and	CCONJ
cana-3636	106	73	samples	sample	NOUN
cana-3636	106	74	represents	represent	VERB
cana-3636	106	75	the	the	DET
cana-3636	106	76	number	number	NOUN
cana-3636	106	77	of	of	ADP
cana-3636	106	78	training	training	NOUN
cana-3636	106	79	examples	example	NOUN
cana-3636	106	80	.	.	PUNCT
cana-3636	107	1	by	by	ADP
cana-3636	107	2	reducing	reduce	VERB
cana-3636	107	3	noise	noise	NOUN
cana-3636	107	4	interference	interference	NOUN
cana-3636	107	5	,	,	PUNCT
cana-3636	107	6	this	this	DET
cana-3636	107	7	reshaping	reshaping	NOUN
cana-3636	107	8	helps	help	VERB
cana-3636	107	9	the	the	DET
cana-3636	107	10	cnn	cnn	PROPN
cana-3636	107	11	process	process	NOUN
cana-3636	107	12	and	and	CCONJ
cana-3636	107	13	learn	learn	VERB
cana-3636	107	14	from	from	ADP
cana-3636	107	15	the	the	DET
cana-3636	107	16	input	input	NOUN
cana-3636	107	17	data	datum	NOUN
cana-3636	107	18	during	during	ADP
cana-3636	107	19	training	training	NOUN
cana-3636	107	20	,	,	PUNCT
cana-3636	107	21	improving	improve	VERB
cana-3636	107	22	the	the	DET
cana-3636	107	23	quality	quality	NOUN
cana-3636	107	24	of	of	ADP
cana-3636	107	25	the	the	DET
cana-3636	107	26	fecg	fecg	NOUN
cana-3636	107	27	signal	signal	NOUN
cana-3636	107	28	.	.	PUNCT
cana-3636	108	1	to	to	PART
cana-3636	108	2	ensure	ensure	VERB
cana-3636	108	3	that	that	SCONJ
cana-3636	108	4	the	the	DET
cana-3636	108	5	cnn	cnn	PROPN
cana-3636	108	6	model	model	NOUN
cana-3636	108	7	is	be	AUX
cana-3636	108	8	trained	train	VERB
cana-3636	108	9	properly	properly	ADV
cana-3636	108	10	and	and	CCONJ
cana-3636	108	11	rapidly	rapidly	ADV
cana-3636	108	12	,	,	PUNCT
cana-3636	108	13	the	the	DET
cana-3636	108	14	methodology	methodology	NOUN
cana-3636	108	15	's	's	PART
cana-3636	108	16	data	datum	NOUN
cana-3636	108	17	partitioning	partition	VERB
cana-3636	108	18	and	and	CCONJ
cana-3636	108	19	training	training	NOUN
cana-3636	108	20	options	option	NOUN
cana-3636	108	21	are	be	AUX
cana-3636	108	22	essential	essential	ADJ
cana-3636	108	23	.	.	PUNCT
cana-3636	109	1	first	first	ADV
cana-3636	109	2	,	,	PUNCT
cana-3636	109	3	the	the	DET
cana-3636	109	4	dataset	dataset	NOUN
cana-3636	109	5	is	be	AUX
cana-3636	109	6	divided	divide	VERB
cana-3636	109	7	into	into	ADP
cana-3636	109	8	training	training	NOUN
cana-3636	109	9	and	and	CCONJ
cana-3636	109	10	validation	validation	NOUN
cana-3636	109	11	sets	set	NOUN
cana-3636	109	12	.	.	PUNCT
cana-3636	110	1	determining	determine	VERB
cana-3636	110	2	a	a	DET
cana-3636	110	3	training	training	NOUN
cana-3636	110	4	ratio	ratio	NOUN
cana-3636	110	5	in	in	ADP
cana-3636	110	6	this	this	DET
cana-3636	110	7	case	case	NOUN
cana-3636	110	8	,	,	PUNCT
cana-3636	110	9	80	80	NUM
cana-3636	110	10	%	%	NOUN
cana-3636	110	11	is	be	AUX
cana-3636	110	12	how	how	SCONJ
cana-3636	110	13	this	this	PRON
cana-3636	110	14	is	be	AUX
cana-3636	110	15	achieved	achieve	VERB
cana-3636	110	16	.	.	PUNCT
cana-3636	111	1	this	this	PRON
cana-3636	111	2	implies	imply	VERB
cana-3636	111	3	that	that	SCONJ
cana-3636	111	4	20	20	NUM
cana-3636	111	5	%	%	NOUN
cana-3636	111	6	of	of	ADP
cana-3636	111	7	the	the	DET
cana-3636	111	8	data	datum	NOUN
cana-3636	111	9	will	will	AUX
cana-3636	111	10	be	be	AUX
cana-3636	111	11	set	set	VERB
cana-3636	111	12	aside	aside	ADV
cana-3636	111	13	for	for	ADP
cana-3636	111	14	validation	validation	NOUN
cana-3636	111	15	and	and	CCONJ
cana-3636	111	16	the	the	DET
cana-3636	111	17	remaining	remain	VERB
cana-3636	111	18	80	80	NUM
cana-3636	111	19	%	%	NOUN
cana-3636	111	20	will	will	AUX
cana-3636	111	21	be	be	AUX
cana-3636	111	22	used	use	VERB
cana-3636	111	23	to	to	PART
cana-3636	111	24	train	train	VERB
cana-3636	111	25	the	the	DET
cana-3636	111	26	model	model	NOUN
cana-3636	111	27	.	.	PUNCT
cana-3636	112	1	by	by	ADP
cana-3636	112	2	making	make	VERB
cana-3636	112	3	sure	sure	ADJ
cana-3636	112	4	the	the	DET
cana-3636	112	5	model	model	NOUN
cana-3636	112	6	does	do	AUX
cana-3636	112	7	n't	not	PART
cana-3636	112	8	pick	pick	VERB
cana-3636	112	9	up	up	ADP
cana-3636	112	10	noise	noise	NOUN
cana-3636	112	11	or	or	CCONJ
cana-3636	112	12	unimportant	unimportant	ADJ
cana-3636	112	13	features	feature	NOUN
cana-3636	112	14	from	from	ADP
cana-3636	112	15	the	the	DET
cana-3636	112	16	training	training	NOUN
cana-3636	112	17	data	datum	NOUN
cana-3636	112	18	,	,	PUNCT
cana-3636	112	19	the	the	DET
cana-3636	112	20	validation	validation	NOUN
cana-3636	112	21	set	set	NOUN
cana-3636	112	22	helps	help	VERB
cana-3636	112	23	prevent	prevent	VERB
cana-3636	112	24	overfitting	overfitting	NOUN
cana-3636	112	25	and	and	CCONJ
cana-3636	112	26	is	be	AUX
cana-3636	112	27	used	use	VERB
cana-3636	112	28	to	to	PART
cana-3636	112	29	assess	assess	VERB
cana-3636	112	30	the	the	DET
cana-3636	112	31	model	model	NOUN
cana-3636	112	32	's	's	PART
cana-3636	112	33	performance	performance	NOUN
cana-3636	112	34	during	during	ADP
cana-3636	112	35	training	training	NOUN
cana-3636	112	36	.	.	PUNCT
cana-3636	113	1	3.3	3.3	NUM
cana-3636	113	2	cnn	cnn	NOUN
cana-3636	113	3	architecture	architecture	NOUN
cana-3636	113	4	and	and	CCONJ
cana-3636	113	5	ensemble	ensemble	ADJ
cana-3636	113	6	learning	learn	VERB
cana-3636	113	7	the	the	DET
cana-3636	113	8	creation	creation	NOUN
cana-3636	113	9	of	of	ADP
cana-3636	113	10	an	an	DET
cana-3636	113	11	ensemble	ensemble	NOUN
cana-3636	113	12	of	of	ADP
cana-3636	113	13	cnn	cnn	PROPN
cana-3636	113	14	models	model	NOUN
cana-3636	113	15	is	be	AUX
cana-3636	113	16	the	the	DET
cana-3636	113	17	next	next	ADJ
cana-3636	113	18	stage	stage	NOUN
cana-3636	113	19	.	.	PUNCT
cana-3636	114	1	convolutional	convolutional	ADJ
cana-3636	114	2	,	,	PUNCT
cana-3636	114	3	pooling	pooling	NOUN
cana-3636	114	4	,	,	PUNCT
cana-3636	114	5	and	and	CCONJ
cana-3636	114	6	fully	fully	ADV
cana-3636	114	7	connected	connected	ADJ
cana-3636	114	8	layers	layer	NOUN
cana-3636	114	9	are	be	AUX
cana-3636	114	10	used	use	VERB
cana-3636	114	11	by	by	ADP
cana-3636	114	12	cnns	cnn	NOUN
cana-3636	114	13	,	,	PUNCT
cana-3636	114	14	as	as	SCONJ
cana-3636	114	15	seen	see	VERB
cana-3636	114	16	in	in	ADP
cana-3636	114	17	figure	figure	NOUN
cana-3636	114	18	2	2	NUM
cana-3636	114	19	,	,	PUNCT
cana-3636	114	20	to	to	PART
cana-3636	114	21	separate	separate	VERB
cana-3636	114	22	and	and	CCONJ
cana-3636	114	23	enhance	enhance	VERB
cana-3636	114	24	the	the	DET
cana-3636	114	25	fetal	fetal	ADJ
cana-3636	114	26	ecg	ecg	PROPN
cana-3636	114	27	signal	signal	NOUN
cana-3636	114	28	from	from	ADP
cana-3636	114	29	noise	noise	NOUN
cana-3636	114	30	.	.	PUNCT
cana-3636	115	1	in	in	ADP
cana-3636	115	2	order	order	NOUN
cana-3636	115	3	to	to	PART
cana-3636	115	4	identify	identify	VERB
cana-3636	115	5	local	local	ADJ
cana-3636	115	6	patterns	pattern	NOUN
cana-3636	115	7	in	in	ADP
cana-3636	115	8	the	the	DET
cana-3636	115	9	signal	signal	NOUN
cana-3636	115	10	and	and	CCONJ
cana-3636	115	11	capture	capture	VERB
cana-3636	115	12	important	important	ADJ
cana-3636	115	13	characteristics	characteristic	NOUN
cana-3636	115	14	while	while	SCONJ
cana-3636	115	15	eliminating	eliminate	VERB
cana-3636	115	16	extraneous	extraneous	ADJ
cana-3636	115	17	noise	noise	NOUN
cana-3636	115	18	,	,	PUNCT
cana-3636	115	19	the	the	DET
cana-3636	115	20	convolutional	convolutional	ADJ
cana-3636	115	21	layers	layer	NOUN
cana-3636	115	22	employ	employ	VERB
cana-3636	115	23	filters	filter	NOUN
cana-3636	115	24	.	.	PUNCT
cana-3636	116	1	these	these	DET
cana-3636	116	2	filters	filter	NOUN
cana-3636	116	3	are	be	AUX
cana-3636	116	4	very	very	ADV
cana-3636	116	5	good	good	ADJ
cana-3636	116	6	at	at	ADP
cana-3636	116	7	spotting	spot	VERB
cana-3636	116	8	distinct	distinct	ADJ
cana-3636	116	9	signal	signal	NOUN
cana-3636	116	10	properties	property	NOUN
cana-3636	116	11	that	that	PRON
cana-3636	116	12	set	set	VERB
cana-3636	116	13	fecg	fecg	NOUN
cana-3636	116	14	apart	apart	ADV
cana-3636	116	15	from	from	ADP
cana-3636	116	16	interference	interference	NOUN
cana-3636	116	17	.	.	PUNCT
cana-3636	117	1	the	the	DET
cana-3636	117	2	feature	feature	NOUN
cana-3636	117	3	maps	map	NOUN
cana-3636	117	4	are	be	AUX
cana-3636	117	5	then	then	ADV
cana-3636	117	6	downsampled	downsample	VERB
cana-3636	117	7	via	via	ADP
cana-3636	117	8	pooling	pool	VERB
cana-3636	117	9	layers	layer	NOUN
cana-3636	117	10	,	,	PUNCT
cana-3636	117	11	which	which	PRON
cana-3636	117	12	lowers	lower	VERB
cana-3636	117	13	computing	compute	VERB
cana-3636	117	14	complexity	complexity	NOUN
cana-3636	117	15	and	and	CCONJ
cana-3636	117	16	increases	increase	VERB
cana-3636	117	17	the	the	DET
cana-3636	117	18	model	model	NOUN
cana-3636	117	19	's	's	PART
cana-3636	117	20	resistance	resistance	NOUN
cana-3636	117	21	to	to	ADP
cana-3636	117	22	slight	slight	ADJ
cana-3636	117	23	changes	change	NOUN
cana-3636	117	24	and	and	CCONJ
cana-3636	117	25	fluctuations	fluctuation	NOUN
cana-3636	117	26	in	in	ADP
cana-3636	117	27	the	the	DET
cana-3636	117	28	signal	signal	NOUN
cana-3636	117	29	while	while	SCONJ
cana-3636	117	30	maintaining	maintain	VERB
cana-3636	117	31	a	a	DET
cana-3636	117	32	steady	steady	ADJ
cana-3636	117	33	focus	focus	NOUN
cana-3636	117	34	on	on	ADP
cana-3636	117	35	the	the	DET
cana-3636	117	36	most	most	ADV
cana-3636	117	37	important	important	ADJ
cana-3636	117	38	signal	signal	ADJ
cana-3636	117	39	components	component	NOUN
cana-3636	117	40	.	.	PUNCT
cana-3636	118	1	in	in	ADP
cana-3636	118	2	order	order	NOUN
cana-3636	118	3	to	to	PART
cana-3636	118	4	create	create	VERB
cana-3636	118	5	the	the	DET
cana-3636	118	6	denoised	denoise	VERB
cana-3636	118	7	output	output	NOUN
cana-3636	118	8	signal	signal	NOUN
cana-3636	118	9	,	,	PUNCT
cana-3636	118	10	fully	fully	ADV
cana-3636	118	11	connected	connected	ADJ
cana-3636	118	12	layers	layer	NOUN
cana-3636	118	13	use	use	VERB
cana-3636	118	14	the	the	DET
cana-3636	118	15	extracted	extract	VERB
cana-3636	118	16	high	high	ADJ
cana-3636	118	17	-	-	PUNCT
cana-3636	118	18	level	level	NOUN
cana-3636	118	19	features	feature	NOUN
cana-3636	118	20	.	.	PUNCT
cana-3636	119	1	this	this	DET
cana-3636	119	2	process	process	NOUN
cana-3636	119	3	synthesizes	synthesize	VERB
cana-3636	119	4	the	the	DET
cana-3636	119	5	refined	refined	ADJ
cana-3636	119	6	data	datum	NOUN
cana-3636	119	7	into	into	ADP
cana-3636	119	8	a	a	DET
cana-3636	119	9	clear	clear	ADJ
cana-3636	119	10	and	and	CCONJ
cana-3636	119	11	clean	clean	ADJ
cana-3636	119	12	representation	representation	NOUN
cana-3636	119	13	of	of	ADP
cana-3636	119	14	the	the	DET
cana-3636	119	15	fecg	fecg	NOUN
cana-3636	119	16	.	.	PUNCT
cana-3636	120	1	a	a	DET
cana-3636	120	2	strong	strong	ADJ
cana-3636	120	3	denoised	denoised	ADJ
cana-3636	120	4	output	output	NOUN
cana-3636	120	5	is	be	AUX
cana-3636	120	6	produced	produce	VERB
cana-3636	120	7	by	by	ADP
cana-3636	120	8	the	the	DET
cana-3636	120	9	cnn	cnn	PROPN
cana-3636	120	10	's	's	PART
cana-3636	120	11	efficient	efficient	ADJ
cana-3636	120	12	learning	learning	NOUN
cana-3636	120	13	to	to	PART
cana-3636	120	14	separate	separate	VERB
cana-3636	120	15	noise	noise	NOUN
cana-3636	120	16	from	from	ADP
cana-3636	120	17	the	the	DET
cana-3636	120	18	fetal	fetal	ADJ
cana-3636	120	19	signal	signal	NOUN
cana-3636	120	20	through	through	ADP
cana-3636	120	21	these	these	DET
cana-3636	120	22	layers	layer	NOUN
cana-3636	120	23	[	[	X
cana-3636	120	24	45–47	45–47	NUM
cana-3636	120	25	]	]	PUNCT
cana-3636	120	26	.	.	PUNCT
cana-3636	121	1	fig.2	fig.2	PROPN
cana-3636	121	2	basic	basic	ADJ
cana-3636	121	3	structure	structure	NOUN
cana-3636	121	4	of	of	ADP
cana-3636	121	5	a	a	DET
cana-3636	121	6	convolutional	convolutional	ADJ
cana-3636	121	7	neural	neural	ADJ
cana-3636	121	8	network	network	NOUN
cana-3636	121	9	3.4	3.4	NUM
cana-3636	121	10	specifications	specification	NOUN
cana-3636	121	11	of	of	ADP
cana-3636	121	12	the	the	DET
cana-3636	121	13	three	three	NUM
cana-3636	121	14	models	model	NOUN
cana-3636	121	15	in	in	ADP
cana-3636	121	16	the	the	DET
cana-3636	121	17	ensemble	ensemble	ADJ
cana-3636	121	18	each	each	DET
cana-3636	121	19	model	model	NOUN
cana-3636	121	20	in	in	ADP
cana-3636	121	21	the	the	DET
cana-3636	121	22	ensemble	ensemble	ADJ
cana-3636	121	23	is	be	AUX
cana-3636	121	24	a	a	DET
cana-3636	121	25	variant	variant	NOUN
cana-3636	121	26	of	of	ADP
cana-3636	121	27	the	the	DET
cana-3636	121	28	base	base	NOUN
cana-3636	121	29	cnn	cnn	PROPN
cana-3636	121	30	architecture	architecture	NOUN
cana-3636	121	31	.	.	PUNCT
cana-3636	122	1	below	below	ADV
cana-3636	122	2	are	be	AUX
cana-3636	122	3	the	the	DET
cana-3636	122	4	communications	communication	NOUN
cana-3636	122	5	on	on	ADP
cana-3636	122	6	applied	apply	VERB
cana-3636	122	7	nonlinear	nonlinear	ADJ
cana-3636	122	8	analysis	analysis	NOUN
cana-3636	122	9	issn	issn	NOUN
cana-3636	122	10	:	:	PUNCT
cana-3636	122	11	1074	1074	NUM
cana-3636	122	12	-	-	PUNCT
cana-3636	122	13	133x	133x	NUM
cana-3636	122	14	vol	vol	NOUN
cana-3636	122	15	32	32	NUM
cana-3636	122	16	no	no	NOUN
cana-3636	122	17	.	.	PUNCT
cana-3636	123	1	8s	8s	PROPN
cana-3636	123	2	(	(	PUNCT
cana-3636	123	3	2025	2025	NUM
cana-3636	123	4	)	)	PUNCT
cana-3636	123	5	204	204	NUM
cana-3636	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	123	7	specifications	specification	NOUN
cana-3636	123	8	for	for	ADP
cana-3636	123	9	the	the	DET
cana-3636	123	10	three	three	NUM
cana-3636	123	11	models	model	NOUN
cana-3636	123	12	used	use	VERB
cana-3636	123	13	in	in	ADP
cana-3636	123	14	the	the	DET
cana-3636	123	15	ensemble	ensemble	ADJ
cana-3636	123	16	:	:	PUNCT
cana-3636	123	17	•	•	NUM
cana-3636	123	18	model	model	NOUN
cana-3636	123	19	1	1	NUM
cana-3636	123	20	(	(	PUNCT
cana-3636	123	21	base	base	PROPN
cana-3636	123	22	cnn	cnn	PROPN
cana-3636	123	23	):	):	PUNCT
cana-3636	123	24	•	•	NUM
cana-3636	123	25	input	input	NOUN
cana-3636	123	26	layer	layer	NOUN
cana-3636	123	27	:	:	PUNCT
cana-3636	123	28	imageinputlayer([32,32,1],’normalization’,’none	imageinputlayer([32,32,1],’normalization’,’none	NOUN
cana-3636	123	29	’	'	PUNCT
cana-3636	123	30	)	)	PUNCT
cana-3636	123	31	•	•	ADP
cana-3636	123	32	convolutional	convolutional	ADJ
cana-3636	123	33	layer	layer	NOUN
cana-3636	123	34	:	:	PUNCT
cana-3636	123	35	convolution2dlayer(3,16,’padding’,’same	convolution2dlayer(3,16,’padding’,’same	PROPN
cana-3636	123	36	’	'	PUNCT
cana-3636	123	37	)	)	PUNCT
cana-3636	124	1	•	•	PRON
cana-3636	124	2	relu	relu	NOUN
cana-3636	124	3	activation	activation	NOUN
cana-3636	124	4	:	:	PUNCT
cana-3636	124	5	relulayer	relulayer	NOUN
cana-3636	124	6	•	•	PROPN
cana-3636	124	7	max	max	PROPN
cana-3636	124	8	pooling	pooling	PROPN
cana-3636	124	9	:	:	PUNCT
cana-3636	124	10	maxpooling2dlayer(2,’stride’,2	maxpooling2dlayer(2,’stride’,2	NUM
cana-3636	124	11	)	)	PUNCT
cana-3636	124	12	•	•	ADV
cana-3636	124	13	fully	fully	ADV
cana-3636	124	14	connected	connected	ADJ
cana-3636	124	15	layer	layer	NOUN
cana-3636	124	16	:	:	PUNCT
cana-3636	124	17	fullyconnectedlayer(64	fullyconnectedlayer(64	NOUN
cana-3636	124	18	)	)	PUNCT
cana-3636	124	19	•	•	NUM
cana-3636	124	20	output	output	NOUN
cana-3636	124	21	layer	layer	NOUN
cana-3636	124	22	:	:	PUNCT
cana-3636	125	1	softmaxlayer	softmaxlayer	NOUN
cana-3636	125	2	•	•	NUM
cana-3636	125	3	regression	regression	NOUN
cana-3636	125	4	layer	layer	NOUN
cana-3636	125	5	:	:	PUNCT
cana-3636	125	6	regressionlayer	regressionlayer	NOUN
cana-3636	125	7			NOUN
cana-3636	125	8	model	model	NOUN
cana-3636	125	9	2	2	NUM
cana-3636	125	10	(	(	PUNCT
cana-3636	125	11	modified	modified	ADJ
cana-3636	125	12	cnn	cnn	PROPN
cana-3636	125	13	):	):	PUNCT
cana-3636	125	14	•	•	NUM
cana-3636	125	15	input	input	NOUN
cana-3636	125	16	layer	layer	NOUN
cana-3636	125	17	:	:	PUNCT
cana-3636	125	18	imageinputlayer([32,32,1],’normalization’,’none	imageinputlayer([32,32,1],’normalization’,’none	NOUN
cana-3636	125	19	’	'	PUNCT
cana-3636	125	20	)	)	PUNCT
cana-3636	125	21	•	•	ADP
cana-3636	125	22	convolutional	convolutional	ADJ
cana-3636	125	23	layer	layer	NOUN
cana-3636	125	24	:	:	PUNCT
cana-3636	125	25	convolution2dlayer(5,32,’padding’,’same	convolution2dlayer(5,32,’padding’,’same	VERB
cana-3636	125	26	’	'	PUNCT
cana-3636	125	27	)	)	PUNCT
cana-3636	126	1	•	•	PRON
cana-3636	126	2	relu	relu	NOUN
cana-3636	126	3	activation	activation	NOUN
cana-3636	126	4	:	:	PUNCT
cana-3636	126	5	relulayer	relulayer	NOUN
cana-3636	126	6	•	•	NUM
cana-3636	126	7	max	max	PROPN
cana-3636	126	8	pooling	pooling	PROPN
cana-3636	126	9	:	:	PUNCT
cana-3636	126	10	maxpooling2dlayer(2,’stride’,2	maxpooling2dlayer(2,’stride’,2	NUM
cana-3636	126	11	)	)	PUNCT
cana-3636	126	12	•	•	PUNCT
cana-3636	126	13	dropout	dropout	NOUN
cana-3636	126	14	layer	layer	NOUN
cana-3636	126	15	:	:	PUNCT
cana-3636	126	16	dropoutlayer(0.3	dropoutlayer(0.3	NOUN
cana-3636	126	17	)	)	PUNCT
cana-3636	126	18	•	•	ADP
cana-3636	126	19	fully	fully	ADV
cana-3636	126	20	connected	connected	ADJ
cana-3636	126	21	layer	layer	NOUN
cana-3636	126	22	:	:	PUNCT
cana-3636	126	23	fullyconnectedlayer(128	fullyconnectedlayer(128	NOUN
cana-3636	126	24	)	)	PUNCT
cana-3636	126	25	•	•	NOUN
cana-3636	126	26	output	output	NOUN
cana-3636	126	27	layer	layer	NOUN
cana-3636	126	28	:	:	PUNCT
cana-3636	127	1	softmaxlayer	softmaxlayer	NOUN
cana-3636	127	2	•	•	NUM
cana-3636	127	3	regression	regression	NOUN
cana-3636	127	4	layer	layer	NOUN
cana-3636	127	5	:	:	PUNCT
cana-3636	127	6	regressionlayer	regressionlayer	NOUN
cana-3636	127	7			NOUN
cana-3636	127	8	model	model	NOUN
cana-3636	127	9	3	3	NUM
cana-3636	127	10	(	(	PUNCT
cana-3636	127	11	deep	deep	ADJ
cana-3636	127	12	cnn	cnn	PROPN
cana-3636	127	13	):	):	PUNCT
cana-3636	127	14	•	•	NUM
cana-3636	127	15	input	input	NOUN
cana-3636	127	16	layer	layer	NOUN
cana-3636	127	17	:	:	PUNCT
cana-3636	127	18	imageinputlayer([32,32,1],’normalization’,’none	imageinputlayer([32,32,1],’normalization’,’none	NOUN
cana-3636	127	19	’	'	PUNCT
cana-3636	127	20	)	)	PUNCT
cana-3636	127	21	•	•	ADP
cana-3636	127	22	convolutional	convolutional	ADJ
cana-3636	127	23	layer	layer	NOUN
cana-3636	127	24	:	:	PUNCT
cana-3636	127	25	convolution2dlayer(3,64,’padding’,’same	convolution2dlayer(3,64,’padding’,’same	PROPN
cana-3636	127	26	’	'	PUNCT
cana-3636	127	27	)	)	PUNCT
cana-3636	127	28	•	•	PRON
cana-3636	127	29	relu	relu	NOUN
cana-3636	127	30	activation	activation	NOUN
cana-3636	127	31	:	:	PUNCT
cana-3636	127	32	relulayer	relulayer	NOUN
cana-3636	127	33	•	•	NUM
cana-3636	127	34	max	max	PROPN
cana-3636	127	35	pooling	pooling	PROPN
cana-3636	127	36	:	:	PUNCT
cana-3636	127	37	maxpooling2dlayer(2,’stride’,2	maxpooling2dlayer(2,’stride’,2	NUM
cana-3636	127	38	)	)	PUNCT
cana-3636	127	39	•	•	ADP
cana-3636	127	40	convolutional	convolutional	ADJ
cana-3636	127	41	layer	layer	NOUN
cana-3636	127	42	:	:	PUNCT
cana-3636	127	43	convolution2dlayer(3,128,’padding’,’same	convolution2dlayer(3,128,’padding’,’same	NOUN
cana-3636	127	44	’	'	PUNCT
cana-3636	127	45	)	)	PUNCT
cana-3636	127	46	•	•	PRON
cana-3636	127	47	relu	relu	NOUN
cana-3636	127	48	activation	activation	NOUN
cana-3636	127	49	:	:	PUNCT
cana-3636	127	50	relulayer	relulayer	NOUN
cana-3636	127	51	•	•	NUM
cana-3636	127	52	max	max	PROPN
cana-3636	127	53	pooling	pooling	PROPN
cana-3636	127	54	:	:	PUNCT
cana-3636	127	55	maxpooling2dlayer(2,’stride’,2	maxpooling2dlayer(2,’stride’,2	NUM
cana-3636	127	56	)	)	PUNCT
cana-3636	127	57	•	•	ADV
cana-3636	127	58	fully	fully	ADV
cana-3636	127	59	connected	connected	ADJ
cana-3636	127	60	layer	layer	NOUN
cana-3636	127	61	:	:	PUNCT
cana-3636	127	62	fullyconnectedlayer(256	fullyconnectedlayer(256	PROPN
cana-3636	127	63	)	)	PUNCT
cana-3636	127	64	•	•	NUM
cana-3636	127	65	output	output	NOUN
cana-3636	127	66	layer	layer	NOUN
cana-3636	127	67	:	:	PUNCT
cana-3636	127	68	softmaxlayer	softmaxlayer	NOUN
cana-3636	127	69	•	•	NUM
cana-3636	127	70	regression	regression	NOUN
cana-3636	127	71	layer	layer	NOUN
cana-3636	127	72	:	:	PUNCT
cana-3636	127	73	regressionlayer	regressionlayer	VERB
cana-3636	127	74	the	the	DET
cana-3636	127	75	number	number	NOUN
cana-3636	127	76	of	of	ADP
cana-3636	127	77	convolutional	convolutional	ADJ
cana-3636	127	78	layers	layer	NOUN
cana-3636	127	79	filters	filter	VERB
cana-3636	127	80	sizes	size	NOUN
cana-3636	127	81	,	,	PUNCT
cana-3636	127	82	and	and	CCONJ
cana-3636	127	83	regularization	regularization	NOUN
cana-3636	127	84	methods	method	NOUN
cana-3636	127	85	used	use	VERB
cana-3636	127	86	by	by	ADP
cana-3636	127	87	dropout	dropout	NOUN
cana-3636	127	88	vary	vary	VERB
cana-3636	127	89	among	among	ADP
cana-3636	127	90	these	these	DET
cana-3636	127	91	models	model	NOUN
cana-3636	127	92	.	.	PUNCT
cana-3636	128	1	model	model	NOUN
cana-3636	128	2	2	2	NUM
cana-3636	128	3	has	have	VERB
cana-3636	128	4	a	a	DET
cana-3636	128	5	dropout	dropout	NOUN
cana-3636	128	6	layer	layer	NOUN
cana-3636	128	7	to	to	PART
cana-3636	128	8	avoid	avoid	VERB
cana-3636	128	9	overfitting	overfitte	VERB
cana-3636	128	10	,	,	PUNCT
cana-3636	128	11	model	model	NOUN
cana-3636	128	12	3	3	NUM
cana-3636	128	13	has	have	VERB
cana-3636	128	14	a	a	DET
cana-3636	128	15	deeper	deep	ADJ
cana-3636	128	16	communications	communication	NOUN
cana-3636	128	17	on	on	ADP
cana-3636	128	18	applied	apply	VERB
cana-3636	128	19	nonlinear	nonlinear	ADJ
cana-3636	128	20	analysis	analysis	NOUN
cana-3636	128	21	issn	issn	NOUN
cana-3636	128	22	:	:	PUNCT
cana-3636	128	23	1074	1074	NUM
cana-3636	128	24	-	-	PUNCT
cana-3636	128	25	133x	133x	NUM
cana-3636	128	26	vol	vol	NOUN
cana-3636	128	27	32	32	NUM
cana-3636	128	28	no	no	NOUN
cana-3636	128	29	.	.	PUNCT
cana-3636	129	1	8s	8s	PROPN
cana-3636	129	2	(	(	PUNCT
cana-3636	129	3	2025	2025	NUM
cana-3636	129	4	)	)	PUNCT
cana-3636	129	5	205	205	NUM
cana-3636	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	129	7	structure	structure	NOUN
cana-3636	129	8	with	with	ADP
cana-3636	129	9	more	more	ADJ
cana-3636	129	10	convolutional	convolutional	ADJ
cana-3636	129	11	layers	layer	NOUN
cana-3636	129	12	to	to	PART
cana-3636	129	13	capture	capture	VERB
cana-3636	129	14	more	more	ADV
cana-3636	129	15	complicated	complicated	ADJ
cana-3636	129	16	data	datum	NOUN
cana-3636	129	17	,	,	PUNCT
cana-3636	129	18	and	and	CCONJ
cana-3636	129	19	model	model	NOUN
cana-3636	129	20	1	1	NUM
cana-3636	129	21	is	be	AUX
cana-3636	129	22	the	the	DET
cana-3636	129	23	base	base	NOUN
cana-3636	129	24	architecture	architecture	NOUN
cana-3636	129	25	.	.	PUNCT
cana-3636	130	1	3.5	3.5	NUM
cana-3636	130	2	training	training	NOUN
cana-3636	130	3	the	the	DET
cana-3636	130	4	cnn	cnn	PROPN
cana-3636	130	5	ensemble	ensemble	ADJ
cana-3636	130	6	backpropagation	backpropagation	NOUN
cana-3636	130	7	,	,	PUNCT
cana-3636	130	8	a	a	DET
cana-3636	130	9	critical	critical	ADJ
cana-3636	130	10	step	step	NOUN
cana-3636	130	11	in	in	ADP
cana-3636	130	12	cnn	cnn	PROPN
cana-3636	130	13	training	training	NOUN
cana-3636	130	14	,	,	PUNCT
cana-3636	130	15	involves	involve	VERB
cana-3636	130	16	iteratively	iteratively	ADV
cana-3636	130	17	adjusting	adjust	VERB
cana-3636	130	18	the	the	DET
cana-3636	130	19	network	network	NOUN
cana-3636	130	20	's	's	PART
cana-3636	130	21	weights	weight	NOUN
cana-3636	130	22	to	to	PART
cana-3636	130	23	reduce	reduce	VERB
cana-3636	130	24	prediction	prediction	NOUN
cana-3636	130	25	errors	error	NOUN
cana-3636	130	26	[	[	X
cana-3636	130	27	47	47	NUM
cana-3636	130	28	,	,	PUNCT
cana-3636	130	29	48	48	NUM
cana-3636	130	30	]	]	PUNCT
cana-3636	130	31	.	.	PUNCT
cana-3636	131	1	the	the	DET
cana-3636	131	2	network	network	NOUN
cana-3636	131	3	calculates	calculate	VERB
cana-3636	131	4	gradients	gradient	NOUN
cana-3636	131	5	of	of	ADP
cana-3636	131	6	the	the	DET
cana-3636	131	7	loss	loss	NOUN
cana-3636	131	8	function	function	NOUN
cana-3636	131	9	with	with	ADP
cana-3636	131	10	respect	respect	NOUN
cana-3636	131	11	to	to	ADP
cana-3636	131	12	each	each	DET
cana-3636	131	13	weight	weight	NOUN
cana-3636	131	14	during	during	ADP
cana-3636	131	15	backpropagation	backpropagation	NOUN
cana-3636	131	16	,	,	PUNCT
cana-3636	131	17	allowing	allow	VERB
cana-3636	131	18	for	for	ADP
cana-3636	131	19	effective	effective	ADJ
cana-3636	131	20	updates	update	NOUN
cana-3636	131	21	that	that	PRON
cana-3636	131	22	raise	raise	VERB
cana-3636	131	23	the	the	DET
cana-3636	131	24	predictive	predictive	ADJ
cana-3636	131	25	accuracy	accuracy	NOUN
cana-3636	131	26	of	of	ADP
cana-3636	131	27	the	the	DET
cana-3636	131	28	model	model	NOUN
cana-3636	131	29	.	.	PUNCT
cana-3636	132	1	the	the	DET
cana-3636	132	2	gradient	gradient	NOUN
cana-3636	132	3	of	of	ADP
cana-3636	132	4	the	the	DET
cana-3636	132	5	loss	loss	NOUN
cana-3636	132	6	function	function	NOUN
cana-3636	132	7	l	l	NOUN
cana-3636	132	8	with	with	ADP
cana-3636	132	9	respect	respect	NOUN
cana-3636	132	10	to	to	ADP
cana-3636	132	11	a	a	DET
cana-3636	132	12	weight	weight	NOUN
cana-3636	132	13	w	w	NOUN
cana-3636	132	14	can	can	AUX
cana-3636	132	15	be	be	AUX
cana-3636	132	16	found	find	VERB
cana-3636	132	17	mathematically	mathematically	ADV
cana-3636	132	18	as	as	SCONJ
cana-3636	132	19	follows	follow	VERB
cana-3636	132	20	:	:	PUNCT
cana-3636	132	21	(	(	PUNCT
cana-3636	132	22	7	7	NUM
cana-3636	132	23	)	)	PUNCT
cana-3636	132	24	)	)	PUNCT
cana-3636	132	25	where	where	SCONJ
cana-3636	132	26	a	a	PRON
cana-3636	132	27	is	be	AUX
cana-3636	132	28	the	the	DET
cana-3636	132	29	activation	activation	NOUN
cana-3636	132	30	of	of	ADP
cana-3636	132	31	the	the	DET
cana-3636	132	32	unit	unit	NOUN
cana-3636	132	33	in	in	ADP
cana-3636	132	34	the	the	DET
cana-3636	132	35	layer	layer	NOUN
cana-3636	132	36	.	.	PUNCT
cana-3636	133	1	this	this	DET
cana-3636	133	2	gradient	gradient	NOUN
cana-3636	133	3	is	be	AUX
cana-3636	133	4	then	then	ADV
cana-3636	133	5	used	use	VERB
cana-3636	133	6	to	to	PART
cana-3636	133	7	update	update	VERB
cana-3636	133	8	the	the	DET
cana-3636	133	9	weights	weight	NOUN
cana-3636	133	10	using	use	VERB
cana-3636	133	11	a	a	DET
cana-3636	133	12	chosen	choose	VERB
cana-3636	133	13	optimizer	optimizer	NOUN
cana-3636	133	14	,	,	PUNCT
cana-3636	133	15	like	like	ADP
cana-3636	133	16	the	the	DET
cana-3636	133	17	stochastic	stochastic	ADJ
cana-3636	133	18	gradient	gradient	ADJ
cana-3636	133	19	descent	descent	NOUN
cana-3636	133	20	(	(	PUNCT
cana-3636	133	21	sgd	sgd	NOUN
cana-3636	133	22	)	)	PUNCT
cana-3636	133	23	or	or	CCONJ
cana-3636	133	24	adam	adam	PROPN
cana-3636	133	25	optimizer	optimizer	NOUN
cana-3636	133	26	.	.	PUNCT
cana-3636	134	1	the	the	DET
cana-3636	134	2	weights	weight	NOUN
cana-3636	134	3	are	be	AUX
cana-3636	134	4	updated	update	VERB
cana-3636	134	5	according	accord	VERB
cana-3636	134	6	to	to	ADP
cana-3636	134	7	:	:	PUNCT
cana-3636	134	8	where	where	SCONJ
cana-3636	134	9	η	η	PROPN
cana-3636	134	10	is	be	AUX
cana-3636	134	11	the	the	DET
cana-3636	134	12	learning	learning	NOUN
cana-3636	134	13	rate	rate	NOUN
cana-3636	134	14	,	,	PUNCT
cana-3636	134	15	which	which	PRON
cana-3636	134	16	controls	control	VERB
cana-3636	134	17	the	the	DET
cana-3636	134	18	step	step	NOUN
cana-3636	134	19	size	size	NOUN
cana-3636	134	20	.	.	PUNCT
cana-3636	135	1	cnns	cnns	PROPN
cana-3636	135	2	can	can	AUX
cana-3636	135	3	gradually	gradually	ADV
cana-3636	135	4	improve	improve	VERB
cana-3636	135	5	their	their	PRON
cana-3636	135	6	filters	filter	NOUN
cana-3636	135	7	and	and	CCONJ
cana-3636	135	8	weights	weight	NOUN
cana-3636	135	9	through	through	ADP
cana-3636	135	10	this	this	DET
cana-3636	135	11	repeated	repeat	VERB
cana-3636	135	12	training	training	NOUN
cana-3636	135	13	process	process	NOUN
cana-3636	135	14	,	,	PUNCT
cana-3636	135	15	which	which	PRON
cana-3636	135	16	improves	improve	VERB
cana-3636	135	17	their	their	PRON
cana-3636	135	18	ability	ability	NOUN
cana-3636	135	19	to	to	PART
cana-3636	135	20	identify	identify	VERB
cana-3636	135	21	complex	complex	ADJ
cana-3636	135	22	patterns	pattern	NOUN
cana-3636	135	23	in	in	ADP
cana-3636	135	24	data	data	PROPN
cana-3636	135	25	.	.	PUNCT
cana-3636	136	1	cnns	cnns	PROPN
cana-3636	136	2	learn	learn	VERB
cana-3636	136	3	hierarchical	hierarchical	ADJ
cana-3636	136	4	representations	representation	NOUN
cana-3636	136	5	,	,	PUNCT
cana-3636	136	6	which	which	PRON
cana-3636	136	7	are	be	AUX
cana-3636	136	8	essential	essential	ADJ
cana-3636	136	9	for	for	ADP
cana-3636	136	10	tasks	task	NOUN
cana-3636	136	11	like	like	ADP
cana-3636	136	12	object	object	NOUN
cana-3636	136	13	detection	detection	NOUN
cana-3636	136	14	,	,	PUNCT
cana-3636	136	15	picture	picture	NOUN
cana-3636	136	16	recognition	recognition	NOUN
cana-3636	136	17	,	,	PUNCT
cana-3636	136	18	and	and	CCONJ
cana-3636	136	19	medical	medical	ADJ
cana-3636	136	20	diagnostics	diagnostic	NOUN
cana-3636	136	21	,	,	PUNCT
cana-3636	136	22	through	through	ADP
cana-3636	136	23	constant	constant	ADJ
cana-3636	136	24	improvement	improvement	NOUN
cana-3636	136	25	[	[	X
cana-3636	136	26	47	47	NUM
cana-3636	136	27	,	,	PUNCT
cana-3636	136	28	48	48	NUM
cana-3636	136	29	]	]	PUNCT
cana-3636	136	30	.	.	PUNCT
cana-3636	137	1	nevertheless	nevertheless	ADV
cana-3636	137	2	;	;	PUNCT
cana-3636	137	3	a	a	DET
cana-3636	137	4	single	single	ADJ
cana-3636	137	5	cnn	cnn	PROPN
cana-3636	137	6	may	may	AUX
cana-3636	137	7	overfit	overfit	VERB
cana-3636	137	8	to	to	ADP
cana-3636	137	9	the	the	DET
cana-3636	137	10	training	training	NOUN
cana-3636	137	11	set	set	NOUN
cana-3636	137	12	or	or	CCONJ
cana-3636	137	13	fail	fail	VERB
cana-3636	137	14	to	to	PART
cana-3636	137	15	capture	capture	VERB
cana-3636	137	16	all	all	DET
cana-3636	137	17	data	datum	NOUN
cana-3636	137	18	characteristics	characteristic	NOUN
cana-3636	137	19	.	.	PUNCT
cana-3636	138	1	this	this	PRON
cana-3636	138	2	is	be	AUX
cana-3636	138	3	where	where	SCONJ
cana-3636	138	4	the	the	DET
cana-3636	138	5	idea	idea	NOUN
cana-3636	138	6	of	of	ADP
cana-3636	138	7	an	an	DET
cana-3636	138	8	ensemble	ensemble	NOUN
cana-3636	138	9	of	of	ADP
cana-3636	138	10	cnns	cnn	NOUN
cana-3636	138	11	comes	come	VERB
cana-3636	138	12	in	in	ADP
cana-3636	138	13	handy	handy	ADJ
cana-3636	138	14	because	because	SCONJ
cana-3636	138	15	it	it	PRON
cana-3636	138	16	combines	combine	VERB
cana-3636	138	17	several	several	ADJ
cana-3636	138	18	models	model	NOUN
cana-3636	138	19	to	to	PART
cana-3636	138	20	improve	improve	VERB
cana-3636	138	21	overall	overall	ADJ
cana-3636	138	22	robustness	robustness	NOUN
cana-3636	138	23	and	and	CCONJ
cana-3636	138	24	performance	performance	NOUN
cana-3636	138	25	.	.	PUNCT
cana-3636	139	1	when	when	SCONJ
cana-3636	139	2	compared	compare	VERB
cana-3636	139	3	to	to	ADP
cana-3636	139	4	individual	individual	ADJ
cana-3636	139	5	cnn	cnn	PROPN
cana-3636	139	6	models	model	NOUN
cana-3636	139	7	,	,	PUNCT
cana-3636	139	8	an	an	DET
cana-3636	139	9	ensemble	ensemble	ADJ
cana-3636	139	10	approach	approach	NOUN
cana-3636	139	11	enhances	enhance	VERB
cana-3636	139	12	overall	overall	ADJ
cana-3636	139	13	performance	performance	NOUN
cana-3636	139	14	and	and	CCONJ
cana-3636	139	15	resilience	resilience	NOUN
cana-3636	139	16	by	by	ADP
cana-3636	139	17	combining	combine	VERB
cana-3636	139	18	numerous	numerous	ADJ
cana-3636	139	19	models	model	NOUN
cana-3636	139	20	.	.	PUNCT
cana-3636	140	1	an	an	DET
cana-3636	140	2	ensemble	ensemble	ADJ
cana-3636	140	3	can	can	AUX
cana-3636	140	4	improve	improve	VERB
cana-3636	140	5	generalization	generalization	NOUN
cana-3636	140	6	and	and	CCONJ
cana-3636	140	7	lower	low	ADJ
cana-3636	140	8	the	the	DET
cana-3636	140	9	chance	chance	NOUN
cana-3636	140	10	of	of	ADP
cana-3636	140	11	overfitting	overfitte	VERB
cana-3636	140	12	by	by	ADP
cana-3636	140	13	combining	combine	VERB
cana-3636	140	14	predictions	prediction	NOUN
cana-3636	140	15	from	from	ADP
cana-3636	140	16	many	many	ADJ
cana-3636	140	17	cnns	cnn	NOUN
cana-3636	140	18	.	.	PUNCT
cana-3636	141	1	the	the	DET
cana-3636	141	2	final	final	ADJ
cana-3636	141	3	prediction	prediction	NOUN
cana-3636	141	4	yensemble	yensemble	NOUN
cana-3636	141	5	from	from	ADP
cana-3636	141	6	an	an	DET
cana-3636	141	7	ensemble	ensemble	NOUN
cana-3636	141	8	of	of	ADP
cana-3636	141	9	n	n	NOUN
cana-3636	141	10	models	model	NOUN
cana-3636	141	11	can	can	AUX
cana-3636	141	12	be	be	AUX
cana-3636	141	13	computed	compute	VERB
cana-3636	141	14	as	as	ADP
cana-3636	141	15	:	:	PUNCT
cana-3636	141	16	∑	∑	X
cana-3636	141	17	where	where	SCONJ
cana-3636	141	18	𝑖	𝑖	PRON
cana-3636	141	19	is	be	AUX
cana-3636	141	20	the	the	DET
cana-3636	141	21	output	output	NOUN
cana-3636	141	22	from	from	ADP
cana-3636	141	23	the	the	DET
cana-3636	141	24	ith	ith	PROPN
cana-3636	141	25	cnn	cnn	PROPN
cana-3636	141	26	model	model	PROPN
cana-3636	141	27	.	.	PUNCT
cana-3636	142	1	this	this	DET
cana-3636	142	2	simple	simple	ADJ
cana-3636	142	3	averaging	averaging	NOUN
cana-3636	142	4	method	method	NOUN
cana-3636	142	5	helps	help	VERB
cana-3636	142	6	mitigate	mitigate	VERB
cana-3636	142	7	the	the	DET
cana-3636	142	8	risk	risk	NOUN
cana-3636	142	9	of	of	ADP
cana-3636	142	10	overfitting	overfitte	VERB
cana-3636	142	11	present	present	NOUN
cana-3636	142	12	in	in	ADP
cana-3636	142	13	any	any	DET
cana-3636	142	14	individual	individual	ADJ
cana-3636	142	15	model	model	NOUN
cana-3636	142	16	.	.	PUNCT
cana-3636	143	1	there	there	PRON
cana-3636	143	2	are	be	VERB
cana-3636	143	3	various	various	ADJ
cana-3636	143	4	benefits	benefit	NOUN
cana-3636	143	5	of	of	ADP
cana-3636	143	6	using	use	VERB
cana-3636	143	7	an	an	DET
cana-3636	143	8	ensemble	ensemble	NOUN
cana-3636	143	9	of	of	ADP
cana-3636	143	10	cnns	cnn	NOUN
cana-3636	143	11	[	[	X
cana-3636	143	12	13	13	NUM
cana-3636	143	13	]	]	PUNCT
cana-3636	143	14	.	.	PUNCT
cana-3636	144	1	since	since	SCONJ
cana-3636	144	2	the	the	DET
cana-3636	144	3	combined	combine	VERB
cana-3636	144	4	strengths	strength	NOUN
cana-3636	144	5	of	of	ADP
cana-3636	144	6	several	several	ADJ
cana-3636	144	7	models	model	NOUN
cana-3636	144	8	usually	usually	ADV
cana-3636	144	9	outperform	outperform	VERB
cana-3636	144	10	a	a	DET
cana-3636	144	11	single	single	ADJ
cana-3636	144	12	model	model	NOUN
cana-3636	144	13	,	,	PUNCT
cana-3636	144	14	it	it	PRON
cana-3636	144	15	results	result	VERB
cana-3636	144	16	in	in	ADP
cana-3636	144	17	increased	increase	VERB
cana-3636	144	18	accuracy	accuracy	NOUN
cana-3636	144	19	and	and	CCONJ
cana-3636	144	20	performance	performance	NOUN
cana-3636	144	21	.	.	PUNCT
cana-3636	145	1	because	because	SCONJ
cana-3636	145	2	ensembles	ensemble	NOUN
cana-3636	145	3	are	be	AUX
cana-3636	145	4	less	less	ADV
cana-3636	145	5	susceptible	susceptible	ADJ
cana-3636	145	6	to	to	ADP
cana-3636	145	7	the	the	DET
cana-3636	145	8	noise	noise	NOUN
cana-3636	145	9	and	and	CCONJ
cana-3636	145	10	oddities	oddity	NOUN
cana-3636	145	11	in	in	ADP
cana-3636	145	12	the	the	DET
cana-3636	145	13	data	datum	NOUN
cana-3636	145	14	,	,	PUNCT
cana-3636	145	15	the	the	DET
cana-3636	145	16	system	system	NOUN
cana-3636	145	17	is	be	AUX
cana-3636	145	18	more	more	ADV
cana-3636	145	19	robust	robust	ADJ
cana-3636	145	20	.	.	PUNCT
cana-3636	146	1	ensembles	ensemble	NOUN
cana-3636	146	2	also	also	ADV
cana-3636	146	3	aid	aid	VERB
cana-3636	146	4	in	in	ADP
cana-3636	146	5	lowering	lower	VERB
cana-3636	146	6	bias	bias	NOUN
cana-3636	146	7	and	and	CCONJ
cana-3636	146	8	variance	variance	NOUN
cana-3636	146	9	,	,	PUNCT
cana-3636	146	10	which	which	PRON
cana-3636	146	11	improves	improve	VERB
cana-3636	146	12	generalization	generalization	NOUN
cana-3636	146	13	to	to	ADP
cana-3636	146	14	unknown	unknown	ADJ
cana-3636	146	15	data	datum	NOUN
cana-3636	146	16	.	.	PUNCT
cana-3636	147	1	consequently	consequently	ADV
cana-3636	147	2	,	,	PUNCT
cana-3636	147	3	building	build	VERB
cana-3636	147	4	an	an	DET
cana-3636	147	5	ensemble	ensemble	NOUN
cana-3636	147	6	of	of	ADP
cana-3636	147	7	cnns	cnns	PROPN
cana-3636	147	8	makes	make	VERB
cana-3636	147	9	use	use	NOUN
cana-3636	147	10	of	of	ADP
cana-3636	147	11	the	the	DET
cana-3636	147	12	strengths	strength	NOUN
cana-3636	147	13	of	of	ADP
cana-3636	147	14	several	several	ADJ
cana-3636	147	15	models	model	NOUN
cana-3636	147	16	to	to	PART
cana-3636	147	17	create	create	VERB
cana-3636	147	18	a	a	DET
cana-3636	147	19	deep	deep	ADJ
cana-3636	147	20	learning	learning	NOUN
cana-3636	147	21	system	system	NOUN
cana-3636	147	22	that	that	PRON
cana-3636	147	23	is	be	AUX
cana-3636	147	24	more	more	ADV
cana-3636	147	25	dependable	dependable	ADJ
cana-3636	147	26	and	and	CCONJ
cana-3636	147	27	efficient	efficient	ADJ
cana-3636	147	28	[	[	X
cana-3636	147	29	49	49	NUM
cana-3636	147	30	]	]	PUNCT
cana-3636	147	31	.	.	PUNCT
cana-3636	148	1	communications	communication	NOUN
cana-3636	148	2	on	on	ADP
cana-3636	148	3	applied	apply	VERB
cana-3636	148	4	nonlinear	nonlinear	ADJ
cana-3636	148	5	analysis	analysis	NOUN
cana-3636	148	6	issn	issn	NOUN
cana-3636	148	7	:	:	PUNCT
cana-3636	148	8	1074	1074	NUM
cana-3636	148	9	-	-	PUNCT
cana-3636	148	10	133x	133x	NUM
cana-3636	148	11	vol	vol	NOUN
cana-3636	148	12	32	32	NUM
cana-3636	148	13	no	no	NOUN
cana-3636	148	14	.	.	PUNCT
cana-3636	149	1	8s	8s	PROPN
cana-3636	149	2	(	(	PUNCT
cana-3636	149	3	2025	2025	NUM
cana-3636	149	4	)	)	PUNCT
cana-3636	149	5	206	206	NUM
cana-3636	149	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	149	7	3.6	3.6	NUM
cana-3636	149	8	proposed	propose	VERB
cana-3636	149	9	non	non	ADJ
cana-3636	149	10	linear	linear	PROPN
cana-3636	149	11	ensemble	ensemble	ADJ
cana-3636	149	12	approach	approach	NOUN
cana-3636	149	13	the	the	DET
cana-3636	149	14	method	method	NOUN
cana-3636	149	15	used	use	VERB
cana-3636	149	16	in	in	ADP
cana-3636	149	17	this	this	DET
cana-3636	149	18	article	article	NOUN
cana-3636	149	19	centres	centre	VERB
cana-3636	149	20	on	on	ADP
cana-3636	149	21	building	build	VERB
cana-3636	149	22	an	an	DET
cana-3636	149	23	ensemble	ensemble	ADJ
cana-3636	149	24	of	of	ADP
cana-3636	149	25	three	three	NUM
cana-3636	149	26	different	different	ADJ
cana-3636	149	27	cnn	cnn	PROPN
cana-3636	149	28	models.convolution2dlayer	models.convolution2dlayer	PROPN
cana-3636	149	29	,	,	PUNCT
cana-3636	149	30	which	which	PRON
cana-3636	149	31	applies	apply	VERB
cana-3636	149	32	filters	filter	NOUN
cana-3636	149	33	to	to	ADP
cana-3636	149	34	input	input	NOUN
cana-3636	149	35	data	data	PROPN
cana-3636	149	36	,	,	PUNCT
cana-3636	149	37	relulayer	relulayer	NOUN
cana-3636	149	38	,	,	PUNCT
cana-3636	149	39	which	which	PRON
cana-3636	149	40	introduces	introduce	VERB
cana-3636	149	41	non	non	ADJ
cana-3636	149	42	linearity	linearity	NOUN
cana-3636	149	43	through	through	ADP
cana-3636	149	44	rectified	rectified	ADJ
cana-3636	149	45	linear	linear	NOUN
cana-3636	149	46	units	unit	NOUN
cana-3636	149	47	(	(	PUNCT
cana-3636	149	48	relu	relu	NOUN
cana-3636	149	49	)	)	PUNCT
cana-3636	149	50	,	,	PUNCT
cana-3636	149	51	imageinputlayer	imageinputlayer	NOUN
cana-3636	149	52	,	,	PUNCT
cana-3636	149	53	and	and	CCONJ
cana-3636	149	54	regressionlayer	regressionlayer	NOUN
cana-3636	149	55	,	,	PUNCT
cana-3636	149	56	which	which	PRON
cana-3636	149	57	calculates	calculate	VERB
cana-3636	149	58	the	the	DET
cana-3636	149	59	loss	loss	NOUN
cana-3636	149	60	between	between	ADP
cana-3636	149	61	predicted	predict	VERB
cana-3636	149	62	and	and	CCONJ
cana-3636	149	63	actual	actual	ADJ
cana-3636	149	64	outputs	output	NOUN
cana-3636	149	65	,	,	PUNCT
cana-3636	149	66	are	be	AUX
cana-3636	149	67	some	some	PRON
cana-3636	149	68	of	of	ADP
cana-3636	149	69	the	the	DET
cana-3636	149	70	essential	essential	ADJ
cana-3636	149	71	layers	layer	NOUN
cana-3636	149	72	that	that	PRON
cana-3636	149	73	are	be	AUX
cana-3636	149	74	used	use	VERB
cana-3636	149	75	to	to	PART
cana-3636	149	76	create	create	VERB
cana-3636	149	77	a	a	DET
cana-3636	149	78	basic	basic	ADJ
cana-3636	149	79	cnn	cnn	NOUN
cana-3636	149	80	architecture	architecture	NOUN
cana-3636	149	81	.	.	PUNCT
cana-3636	150	1	input	input	NOUN
cana-3636	150	2	/	/	SYM
cana-3636	150	3	output	output	NOUN
cana-3636	150	4	pairings	pairing	NOUN
cana-3636	150	5	are	be	AUX
cana-3636	150	6	used	use	VERB
cana-3636	150	7	to	to	PART
cana-3636	150	8	rigorously	rigorously	ADV
cana-3636	150	9	train	train	VERB
cana-3636	150	10	each	each	DET
cana-3636	150	11	model	model	NOUN
cana-3636	150	12	in	in	ADP
cana-3636	150	13	the	the	DET
cana-3636	150	14	ensemble	ensemble	NOUN
cana-3636	150	15	.	.	PUNCT
cana-3636	151	1	the	the	DET
cana-3636	151	2	trainingoptions	trainingoption	NOUN
cana-3636	151	3	function	function	VERB
cana-3636	151	4	in	in	ADP
cana-3636	151	5	matlab	matlab	PROPN
cana-3636	151	6	is	be	AUX
cana-3636	151	7	essential	essential	ADJ
cana-3636	151	8	in	in	ADP
cana-3636	151	9	this	this	DET
cana-3636	151	10	case	case	NOUN
cana-3636	151	11	because	because	SCONJ
cana-3636	151	12	it	it	PRON
cana-3636	151	13	provides	provide	VERB
cana-3636	151	14	flexibility	flexibility	NOUN
cana-3636	151	15	in	in	ADP
cana-3636	151	16	setting	set	VERB
cana-3636	151	17	important	important	ADJ
cana-3636	151	18	training	training	NOUN
cana-3636	151	19	parameters	parameter	NOUN
cana-3636	151	20	.	.	PUNCT
cana-3636	152	1	the	the	DET
cana-3636	152	2	adam	adam	PROPN
cana-3636	152	3	optimiser	optimiser	PROPN
cana-3636	152	4	is	be	AUX
cana-3636	152	5	selected	select	VERB
cana-3636	152	6	because	because	SCONJ
cana-3636	152	7	to	to	ADP
cana-3636	152	8	its	its	PRON
cana-3636	152	9	effective	effective	ADJ
cana-3636	152	10	gradient	gradient	NOUN
cana-3636	152	11	-	-	PUNCT
cana-3636	152	12	based	base	VERB
cana-3636	152	13	optimisation	optimisation	NOUN
cana-3636	152	14	and	and	CCONJ
cana-3636	152	15	adaptable	adaptable	ADJ
cana-3636	152	16	learning	learning	NOUN
cana-3636	152	17	rate	rate	NOUN
cana-3636	152	18	characteristics	characteristic	NOUN
cana-3636	152	19	,	,	PUNCT
cana-3636	152	20	which	which	PRON
cana-3636	152	21	aid	aid	NOUN
cana-3636	152	22	in	in	ADP
cana-3636	152	23	boosting	boost	VERB
cana-3636	152	24	training	training	NOUN
cana-3636	152	25	efficacy	efficacy	NOUN
cana-3636	152	26	and	and	CCONJ
cana-3636	152	27	accelerating	accelerate	VERB
cana-3636	152	28	convergence	convergence	NOUN
cana-3636	152	29	.	.	PUNCT
cana-3636	153	1	the	the	DET
cana-3636	153	2	entire	entire	ADJ
cana-3636	153	3	dataset	dataset	NOUN
cana-3636	153	4	is	be	AUX
cana-3636	153	5	iterated	iterate	VERB
cana-3636	153	6	through	through	ADP
cana-3636	153	7	30	30	NUM
cana-3636	153	8	times	time	NOUN
cana-3636	153	9	during	during	ADP
cana-3636	153	10	training	training	NOUN
cana-3636	153	11	when	when	SCONJ
cana-3636	153	12	the	the	DET
cana-3636	153	13	maximum	maximum	ADJ
cana-3636	153	14	number	number	NOUN
cana-3636	153	15	of	of	ADP
cana-3636	153	16	epochs	epoch	NOUN
cana-3636	153	17	is	be	AUX
cana-3636	153	18	set	set	VERB
cana-3636	153	19	to	to	ADP
cana-3636	153	20	30	30	NUM
cana-3636	153	21	.	.	PUNCT
cana-3636	154	1	this	this	DET
cana-3636	154	2	decision	decision	NOUN
cana-3636	154	3	achieves	achieve	VERB
cana-3636	154	4	a	a	DET
cana-3636	154	5	careful	careful	ADJ
cana-3636	154	6	balance	balance	NOUN
cana-3636	154	7	between	between	ADP
cana-3636	154	8	preventing	prevent	VERB
cana-3636	154	9	overfitting	overfitte	VERB
cana-3636	154	10	and	and	CCONJ
cana-3636	154	11	guaranteeing	guarantee	VERB
cana-3636	154	12	that	that	SCONJ
cana-3636	154	13	the	the	DET
cana-3636	154	14	models	model	NOUN
cana-3636	154	15	get	get	VERB
cana-3636	154	16	enough	enough	ADJ
cana-3636	154	17	exposure	exposure	NOUN
cana-3636	154	18	to	to	ADP
cana-3636	154	19	the	the	DET
cana-3636	154	20	dataset	dataset	NOUN
cana-3636	154	21	to	to	PART
cana-3636	154	22	pick	pick	VERB
cana-3636	154	23	up	up	ADP
cana-3636	154	24	on	on	ADP
cana-3636	154	25	the	the	DET
cana-3636	154	26	intricate	intricate	ADJ
cana-3636	154	27	patterns	pattern	NOUN
cana-3636	154	28	and	and	CCONJ
cana-3636	154	29	correlations	correlation	NOUN
cana-3636	154	30	present	present	ADJ
cana-3636	154	31	in	in	ADP
cana-3636	154	32	it	it	PRON
cana-3636	154	33	.	.	PUNCT
cana-3636	155	1	a	a	DET
cana-3636	155	2	major	major	ADJ
cana-3636	155	3	issue	issue	NOUN
cana-3636	155	4	in	in	ADP
cana-3636	155	5	deep	deep	ADJ
cana-3636	155	6	learning	learning	NOUN
cana-3636	155	7	is	be	AUX
cana-3636	155	8	overfitting	overfitte	VERB
cana-3636	155	9	,	,	PUNCT
cana-3636	155	10	which	which	PRON
cana-3636	155	11	happens	happen	VERB
cana-3636	155	12	when	when	SCONJ
cana-3636	155	13	models	model	NOUN
cana-3636	155	14	get	get	VERB
cana-3636	155	15	too	too	ADV
cana-3636	155	16	tuned	tune	VERB
cana-3636	155	17	to	to	ADP
cana-3636	155	18	the	the	DET
cana-3636	155	19	training	training	NOUN
cana-3636	155	20	set	set	VERB
cana-3636	155	21	and	and	CCONJ
cana-3636	155	22	have	have	VERB
cana-3636	155	23	trouble	trouble	NOUN
cana-3636	155	24	generalizing	generalize	VERB
cana-3636	155	25	to	to	ADP
cana-3636	155	26	new	new	ADJ
cana-3636	155	27	data	datum	NOUN
cana-3636	155	28	.	.	PUNCT
cana-3636	156	1	we	we	PRON
cana-3636	156	2	want	want	VERB
cana-3636	156	3	to	to	PART
cana-3636	156	4	achieve	achieve	VERB
cana-3636	156	5	a	a	DET
cana-3636	156	6	compromise	compromise	NOUN
cana-3636	156	7	between	between	ADP
cana-3636	156	8	underfitting	underfitting	NOUN
cana-3636	156	9	and	and	CCONJ
cana-3636	156	10	overfitting	overfitte	VERB
cana-3636	156	11	by	by	ADP
cana-3636	156	12	restricting	restrict	VERB
cana-3636	156	13	epochs	epoch	NOUN
cana-3636	156	14	to	to	ADP
cana-3636	156	15	30	30	NUM
cana-3636	156	16	,	,	PUNCT
cana-3636	156	17	which	which	PRON
cana-3636	156	18	will	will	AUX
cana-3636	156	19	enable	enable	VERB
cana-3636	156	20	the	the	DET
cana-3636	156	21	models	model	NOUN
cana-3636	156	22	to	to	PART
cana-3636	156	23	identify	identify	VERB
cana-3636	156	24	significant	significant	ADJ
cana-3636	156	25	patterns	pattern	NOUN
cana-3636	156	26	without	without	ADP
cana-3636	156	27	becoming	become	VERB
cana-3636	156	28	overly	overly	ADV
cana-3636	156	29	tailored	tailor	VERB
cana-3636	156	30	to	to	ADP
cana-3636	156	31	the	the	DET
cana-3636	156	32	training	training	NOUN
cana-3636	156	33	data	datum	NOUN
cana-3636	156	34	.	.	PUNCT
cana-3636	157	1	to	to	PART
cana-3636	157	2	make	make	VERB
cana-3636	157	3	sure	sure	ADJ
cana-3636	157	4	the	the	DET
cana-3636	157	5	model	model	NOUN
cana-3636	157	6	can	can	AUX
cana-3636	157	7	generalize	generalize	VERB
cana-3636	157	8	effectively	effectively	ADV
cana-3636	157	9	,	,	PUNCT
cana-3636	157	10	the	the	DET
cana-3636	157	11	ensemble	ensemble	NOUN
cana-3636	157	12	's	's	PART
cana-3636	157	13	performance	performance	NOUN
cana-3636	157	14	on	on	ADP
cana-3636	157	15	unknown	unknown	ADJ
cana-3636	157	16	data	datum	NOUN
cana-3636	157	17	is	be	AUX
cana-3636	157	18	assessed	assess	VERB
cana-3636	157	19	after	after	ADP
cana-3636	157	20	model	model	NOUN
cana-3636	157	21	training	training	NOUN
cana-3636	157	22	.	.	PUNCT
cana-3636	158	1	the	the	DET
cana-3636	158	2	majority	majority	NOUN
cana-3636	158	3	vote	vote	NOUN
cana-3636	158	4	or	or	CCONJ
cana-3636	158	5	the	the	DET
cana-3636	158	6	average	average	NOUN
cana-3636	158	7	of	of	ADP
cana-3636	158	8	the	the	DET
cana-3636	158	9	forecasts	forecast	NOUN
cana-3636	158	10	from	from	ADP
cana-3636	158	11	each	each	DET
cana-3636	158	12	individual	individual	ADJ
cana-3636	158	13	model	model	NOUN
cana-3636	158	14	determines	determine	VERB
cana-3636	158	15	the	the	DET
cana-3636	158	16	final	final	ADJ
cana-3636	158	17	prediction	prediction	NOUN
cana-3636	158	18	in	in	ADP
cana-3636	158	19	the	the	DET
cana-3636	158	20	ensemble	ensemble	ADJ
cana-3636	158	21	technique	technique	NOUN
cana-3636	158	22	,	,	PUNCT
cana-3636	158	23	which	which	PRON
cana-3636	158	24	aggregates	aggregate	VERB
cana-3636	158	25	predictions	prediction	NOUN
cana-3636	158	26	from	from	ADP
cana-3636	158	27	several	several	ADJ
cana-3636	158	28	models	model	NOUN
cana-3636	158	29	.	.	PUNCT
cana-3636	159	1	when	when	SCONJ
cana-3636	159	2	certain	certain	ADJ
cana-3636	159	3	models	model	NOUN
cana-3636	159	4	may	may	AUX
cana-3636	159	5	be	be	AUX
cana-3636	159	6	overfitting	overfitte	VERB
cana-3636	159	7	or	or	CCONJ
cana-3636	159	8	underfitting	underfitte	VERB
cana-3636	159	9	the	the	DET
cana-3636	159	10	data	datum	NOUN
cana-3636	159	11	,	,	PUNCT
cana-3636	159	12	this	this	DET
cana-3636	159	13	ensemble	ensemble	ADJ
cana-3636	159	14	approach	approach	NOUN
cana-3636	159	15	aids	aid	NOUN
cana-3636	159	16	in	in	ADP
cana-3636	159	17	lessening	lessen	VERB
cana-3636	159	18	the	the	DET
cana-3636	159	19	effect	effect	NOUN
cana-3636	159	20	of	of	ADP
cana-3636	159	21	model	model	NOUN
cana-3636	159	22	variation	variation	NOUN
cana-3636	159	23	.	.	PUNCT
cana-3636	160	1	the	the	DET
cana-3636	160	2	combined	combine	VERB
cana-3636	160	3	outcome	outcome	NOUN
cana-3636	160	4	is	be	AUX
cana-3636	160	5	probably	probably	ADV
cana-3636	160	6	more	more	ADV
cana-3636	160	7	reliable	reliable	ADJ
cana-3636	160	8	and	and	CCONJ
cana-3636	160	9	accurate	accurate	ADJ
cana-3636	160	10	than	than	ADP
cana-3636	160	11	the	the	DET
cana-3636	160	12	predictions	prediction	NOUN
cana-3636	160	13	of	of	ADP
cana-3636	160	14	any	any	DET
cana-3636	160	15	one	one	NUM
cana-3636	160	16	model	model	NOUN
cana-3636	160	17	alone	alone	ADV
cana-3636	160	18	.	.	PUNCT
cana-3636	161	1	4	4	X
cana-3636	161	2	.	.	NOUN
cana-3636	161	3	results	result	NOUN
cana-3636	161	4	and	and	CCONJ
cana-3636	161	5	discussion	discussion	VERB
cana-3636	161	6	the	the	DET
cana-3636	161	7	performance	performance	NOUN
cana-3636	161	8	of	of	ADP
cana-3636	161	9	the	the	DET
cana-3636	161	10	ensemble	ensemble	ADV
cana-3636	161	11	-	-	PUNCT
cana-3636	161	12	based	base	VERB
cana-3636	161	13	cnn	cnn	PROPN
cana-3636	161	14	method	method	NOUN
cana-3636	161	15	suggested	suggest	VERB
cana-3636	161	16	for	for	SCONJ
cana-3636	161	17	fecg	fecg	NOUN
cana-3636	161	18	signal	signal	NOUN
cana-3636	161	19	extraction	extraction	NOUN
cana-3636	161	20	was	be	AUX
cana-3636	161	21	assessed	assess	VERB
cana-3636	161	22	under	under	ADP
cana-3636	161	23	various	various	ADJ
cana-3636	161	24	noise	noise	NOUN
cana-3636	161	25	levels	level	NOUN
cana-3636	161	26	.	.	PUNCT
cana-3636	162	1	a	a	DET
cana-3636	162	2	thorough	thorough	ADJ
cana-3636	162	3	examination	examination	NOUN
cana-3636	162	4	of	of	ADP
cana-3636	162	5	fecg	fecg	PROPN
cana-3636	162	6	denoising	denoising	NOUN
cana-3636	162	7	performance	performance	NOUN
cana-3636	162	8	at	at	ADP
cana-3636	162	9	noise	noise	NOUN
cana-3636	162	10	levels	level	NOUN
cana-3636	162	11	of	of	ADP
cana-3636	162	12	5db	5db	ADJ
cana-3636	162	13	,	,	PUNCT
cana-3636	162	14	10db	10db	ADJ
cana-3636	162	15	,	,	PUNCT
cana-3636	162	16	15db	15db	ADJ
cana-3636	162	17	,	,	PUNCT
cana-3636	162	18	20db	20db	ADJ
cana-3636	162	19	,	,	PUNCT
cana-3636	162	20	25db	25db	ADJ
cana-3636	162	21	,	,	PUNCT
cana-3636	162	22	and	and	CCONJ
cana-3636	162	23	30db	30db	NOUN
cana-3636	162	24	utilizing	utilize	VERB
cana-3636	162	25	ensemble	ensemble	ADJ
cana-3636	162	26	learning	learning	NOUN
cana-3636	162	27	techniques	technique	NOUN
cana-3636	162	28	is	be	AUX
cana-3636	162	29	shown	show	VERB
cana-3636	162	30	in	in	ADP
cana-3636	162	31	table	table	NOUN
cana-3636	162	32	1	1	NUM
cana-3636	162	33	.	.	PUNCT
cana-3636	162	34	initial	initial	ADJ
cana-3636	162	35	signal	signal	NOUN
cana-3636	162	36	-	-	PUNCT
cana-3636	162	37	to	to	ADP
cana-3636	162	38	-	-	PUNCT
cana-3636	162	39	noise	noise	NOUN
cana-3636	162	40	ratio	ratio	NOUN
cana-3636	162	41	(	(	PUNCT
cana-3636	162	42	snri	snri	NOUN
cana-3636	162	43	)	)	PUNCT
cana-3636	162	44	,	,	PUNCT
cana-3636	162	45	output	output	NOUN
cana-3636	162	46	signal	signal	NOUN
cana-3636	162	47	-	-	PUNCT
cana-3636	162	48	to	to	ADP
cana-3636	162	49	-	-	PUNCT
cana-3636	162	50	noise	noise	NOUN
cana-3636	162	51	ratio	ratio	NOUN
cana-3636	162	52	(	(	PUNCT
cana-3636	162	53	snro	snro	ADJ
cana-3636	162	54	)	)	PUNCT
cana-3636	162	55	,	,	PUNCT
cana-3636	162	56	correlation	correlation	NOUN
cana-3636	162	57	coefficient	coefficient	NOUN
cana-3636	162	58	(	(	PUNCT
cana-3636	162	59	cc	cc	NOUN
cana-3636	162	60	)	)	PUNCT
cana-3636	162	61	,	,	PUNCT
cana-3636	162	62	root	root	NOUN
cana-3636	162	63	mean	mean	VERB
cana-3636	162	64	square	square	ADJ
cana-3636	162	65	error	error	NOUN
cana-3636	162	66	(	(	PUNCT
cana-3636	162	67	rmse	rmse	NOUN
cana-3636	162	68	)	)	PUNCT
cana-3636	162	69	,	,	PUNCT
cana-3636	162	70	and	and	CCONJ
cana-3636	162	71	peak	peak	NOUN
cana-3636	162	72	signal	signal	NOUN
cana-3636	162	73	-	-	PUNCT
cana-3636	162	74	to	to	ADP
cana-3636	162	75	-	-	PUNCT
cana-3636	162	76	noise	noise	NOUN
cana-3636	162	77	ratio	ratio	NOUN
cana-3636	162	78	(	(	PUNCT
cana-3636	162	79	psnr	psnr	NOUN
cana-3636	162	80	)	)	PUNCT
cana-3636	162	81	are	be	AUX
cana-3636	162	82	among	among	ADP
cana-3636	162	83	the	the	DET
cana-3636	162	84	performance	performance	NOUN
cana-3636	162	85	metrics	metric	NOUN
cana-3636	162	86	evaluated	evaluate	VERB
cana-3636	162	87	.	.	PUNCT
cana-3636	163	1	after	after	ADP
cana-3636	163	2	denoising	denoise	VERB
cana-3636	163	3	,	,	PUNCT
cana-3636	163	4	the	the	DET
cana-3636	163	5	output	output	NOUN
cana-3636	163	6	snro	snro	PROPN
cana-3636	163	7	shows	show	VERB
cana-3636	163	8	a	a	DET
cana-3636	163	9	significant	significant	ADJ
cana-3636	163	10	improvement	improvement	NOUN
cana-3636	163	11	in	in	ADP
cana-3636	163	12	signal	signal	ADJ
cana-3636	163	13	quality	quality	NOUN
cana-3636	163	14	,	,	PUNCT
cana-3636	163	15	ranging	range	VERB
cana-3636	163	16	from	from	ADP
cana-3636	163	17	13.08	13.08	NUM
cana-3636	163	18	to	to	ADP
cana-3636	163	19	13.16	13.16	NUM
cana-3636	163	20	at	at	ADP
cana-3636	163	21	5	5	NUM
cana-3636	163	22	db	db	NOUN
cana-3636	163	23	.	.	PUNCT
cana-3636	164	1	with	with	ADP
cana-3636	164	2	rmse	rmse	ADJ
cana-3636	164	3	values	value	NOUN
cana-3636	164	4	ranging	range	VERB
cana-3636	164	5	from	from	ADP
cana-3636	164	6	0.2425	0.2425	NUM
cana-3636	164	7	to	to	ADP
cana-3636	164	8	0.2447	0.2447	NUM
cana-3636	164	9	,	,	PUNCT
cana-3636	164	10	the	the	DET
cana-3636	164	11	signal	signal	ADJ
cana-3636	164	12	reconstruction	reconstruction	NOUN
cana-3636	164	13	is	be	AUX
cana-3636	164	14	accurate	accurate	ADJ
cana-3636	164	15	.	.	PUNCT
cana-3636	165	1	the	the	DET
cana-3636	165	2	cc	cc	NOUN
cana-3636	165	3	from	from	ADP
cana-3636	165	4	0.9597	0.9597	NUM
cana-3636	165	5	to	to	ADP
cana-3636	165	6	0.9608	0.9608	NUM
cana-3636	165	7	and	and	CCONJ
cana-3636	165	8	psnr	psnr	NOUN
cana-3636	165	9	values	value	NOUN
cana-3636	165	10	from	from	ADP
cana-3636	165	11	18.29	18.29	NUM
cana-3636	165	12	to	to	PART
cana-3636	165	13	18.37	18.37	NUM
cana-3636	165	14	further	far	ADV
cana-3636	165	15	supports	support	VERB
cana-3636	165	16	the	the	DET
cana-3636	165	17	efficacy	efficacy	NOUN
cana-3636	165	18	of	of	ADP
cana-3636	165	19	the	the	DET
cana-3636	165	20	denoising	denoising	NOUN
cana-3636	165	21	procedure	procedure	NOUN
cana-3636	165	22	,	,	PUNCT
cana-3636	165	23	demonstrating	demonstrate	VERB
cana-3636	165	24	that	that	SCONJ
cana-3636	165	25	even	even	ADV
cana-3636	165	26	at	at	ADP
cana-3636	165	27	low	low	ADJ
cana-3636	165	28	noise	noise	NOUN
cana-3636	165	29	levels	level	NOUN
cana-3636	165	30	,	,	PUNCT
cana-3636	165	31	excellent	excellent	ADJ
cana-3636	165	32	results	result	NOUN
cana-3636	165	33	are	be	AUX
cana-3636	165	34	obtained	obtain	VERB
cana-3636	165	35	.	.	PUNCT
cana-3636	166	1	with	with	ADP
cana-3636	166	2	a	a	DET
cana-3636	166	3	decrease	decrease	NOUN
cana-3636	166	4	in	in	ADP
cana-3636	166	5	rmse	rmse	NOUN
cana-3636	166	6	from	from	ADP
cana-3636	166	7	0.1575	0.1575	NUM
cana-3636	166	8	to	to	ADP
cana-3636	166	9	0.1545	0.1545	NUM
cana-3636	166	10	)	)	PUNCT
cana-3636	166	11	and	and	CCONJ
cana-3636	166	12	an	an	DET
cana-3636	166	13	increase	increase	NOUN
cana-3636	166	14	in	in	ADP
cana-3636	166	15	psnr	psnr	NOUN
cana-3636	166	16	from	from	ADP
cana-3636	166	17	22.12	22.12	NUM
cana-3636	166	18	to	to	ADP
cana-3636	166	19	22.30	22.30	NUM
cana-3636	166	20	,	,	PUNCT
cana-3636	166	21	snro	snro	ADJ
cana-3636	166	22	improves	improve	VERB
cana-3636	166	23	to	to	ADP
cana-3636	166	24	16.91	16.91	NUM
cana-3636	166	25	to	to	ADP
cana-3636	166	26	17.09	17.09	NUM
cana-3636	166	27	at	at	ADP
cana-3636	166	28	10	10	NUM
cana-3636	166	29	db	db	NOUN
cana-3636	166	30	.	.	PUNCT
cana-3636	167	1	in	in	ADP
cana-3636	167	2	comparison	comparison	NOUN
cana-3636	167	3	to	to	ADP
cana-3636	167	4	the	the	DET
cana-3636	167	5	5db	5db	ADJ
cana-3636	167	6	level	level	NOUN
cana-3636	167	7	,	,	PUNCT
cana-3636	167	8	the	the	DET
cana-3636	167	9	correlation	correlation	NOUN
cana-3636	167	10	coefficient	coefficient	NOUN
cana-3636	167	11	communications	communication	NOUN
cana-3636	167	12	on	on	ADP
cana-3636	167	13	applied	apply	VERB
cana-3636	167	14	nonlinear	nonlinear	ADJ
cana-3636	167	15	analysis	analysis	NOUN
cana-3636	167	16	issn	issn	NOUN
cana-3636	167	17	:	:	PUNCT
cana-3636	167	18	1074	1074	NUM
cana-3636	167	19	-	-	PUNCT
cana-3636	167	20	133x	133x	NUM
cana-3636	167	21	vol	vol	NOUN
cana-3636	167	22	32	32	NUM
cana-3636	167	23	no	no	NOUN
cana-3636	167	24	.	.	PUNCT
cana-3636	168	1	8s	8s	PROPN
cana-3636	168	2	(	(	PUNCT
cana-3636	168	3	2025	2025	NUM
cana-3636	168	4	)	)	PUNCT
cana-3636	168	5	207	207	NUM
cana-3636	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	168	7	increases	increase	VERB
cana-3636	168	8	to	to	ADP
cana-3636	168	9	0.9838	0.9838	NUM
cana-3636	168	10	to	to	ADP
cana-3636	168	11	0.9846	0.9846	NUM
cana-3636	168	12	,	,	PUNCT
cana-3636	168	13	indicating	indicate	VERB
cana-3636	168	14	improved	improved	ADJ
cana-3636	168	15	denoising	denoising	NOUN
cana-3636	168	16	efficacy	efficacy	NOUN
cana-3636	168	17	.	.	PUNCT
cana-3636	169	1	this	this	DET
cana-3636	169	2	performance	performance	NOUN
cana-3636	169	3	shows	show	VERB
cana-3636	169	4	that	that	SCONJ
cana-3636	169	5	moderate	moderate	ADJ
cana-3636	169	6	noise	noise	NOUN
cana-3636	169	7	levels	level	NOUN
cana-3636	169	8	may	may	AUX
cana-3636	169	9	be	be	AUX
cana-3636	169	10	handled	handle	VERB
cana-3636	169	11	well	well	ADV
cana-3636	169	12	by	by	ADP
cana-3636	169	13	the	the	DET
cana-3636	169	14	ensemble	ensemble	ADJ
cana-3636	169	15	method	method	NOUN
cana-3636	169	16	.	.	PUNCT
cana-3636	170	1	snro	snro	PROPN
cana-3636	170	2	drops	drop	VERB
cana-3636	170	3	to	to	ADP
cana-3636	170	4	19.91	19.91	NUM
cana-3636	170	5	to	to	ADP
cana-3636	170	6	20.01	20.01	NUM
cana-3636	170	7	at	at	ADP
cana-3636	170	8	15	15	NUM
cana-3636	170	9	db	db	NOUN
cana-3636	170	10	,	,	PUNCT
cana-3636	170	11	while	while	SCONJ
cana-3636	170	12	rmse	rmse	ADJ
cana-3636	170	13	values	value	NOUN
cana-3636	170	14	drop	drop	VERB
cana-3636	170	15	even	even	ADV
cana-3636	170	16	lower	low	ADJ
cana-3636	170	17	to	to	ADP
cana-3636	170	18	0.1102	0.1102	NUM
cana-3636	170	19	to	to	ADP
cana-3636	170	20	0.1114	0.1114	NUM
cana-3636	170	21	.	.	PUNCT
cana-3636	171	1	the	the	DET
cana-3636	171	2	cc	cc	PROPN
cana-3636	171	3	rises	rise	VERB
cana-3636	171	4	to	to	ADP
cana-3636	171	5	0.9925	0.9925	NUM
cana-3636	171	6	to	to	ADP
cana-3636	171	7	0.9927	0.9927	NUM
cana-3636	171	8	and	and	CCONJ
cana-3636	171	9	psnr	psnr	NOUN
cana-3636	171	10	values	value	NOUN
cana-3636	171	11	increase	increase	VERB
cana-3636	171	12	to	to	ADP
cana-3636	171	13	25.12	25.12	NUM
cana-3636	171	14	to	to	ADP
cana-3636	171	15	25.22	25.22	NUM
cana-3636	171	16	,	,	PUNCT
cana-3636	171	17	demonstrating	demonstrate	VERB
cana-3636	171	18	the	the	DET
cana-3636	171	19	denoising	denoise	VERB
cana-3636	171	20	technique	technique	NOUN
cana-3636	171	21	's	's	PART
cana-3636	171	22	resilience	resilience	NOUN
cana-3636	171	23	at	at	ADP
cana-3636	171	24	increased	increase	VERB
cana-3636	171	25	noise	noise	NOUN
cana-3636	171	26	levels	level	NOUN
cana-3636	171	27	.	.	PUNCT
cana-3636	172	1	the	the	DET
cana-3636	172	2	output	output	NOUN
cana-3636	172	3	snr	snr	NOUN
cana-3636	172	4	stabilizes	stabilize	VERB
cana-3636	172	5	between	between	ADP
cana-3636	172	6	21.63	21.63	NUM
cana-3636	172	7	and	and	CCONJ
cana-3636	172	8	21.66	21.66	NUM
cana-3636	172	9	at	at	ADP
cana-3636	172	10	20	20	NUM
cana-3636	172	11	db	db	NOUN
cana-3636	172	12	,	,	PUNCT
cana-3636	172	13	while	while	SCONJ
cana-3636	172	14	the	the	DET
cana-3636	172	15	rmse	rmse	NOUN
cana-3636	172	16	keeps	keep	VERB
cana-3636	172	17	going	go	VERB
cana-3636	172	18	down	down	ADP
cana-3636	172	19	from	from	ADP
cana-3636	172	20	0.0911	0.0911	NUM
cana-3636	172	21	to	to	ADP
cana-3636	172	22	0.0915	0.0915	NUM
cana-3636	172	23	.	.	PUNCT
cana-3636	173	1	the	the	DET
cana-3636	173	2	cc	cc	PROPN
cana-3636	173	3	rises	rise	VERB
cana-3636	173	4	to	to	ADP
cana-3636	173	5	0.9953	0.9953	NUM
cana-3636	173	6	to	to	ADP
cana-3636	173	7	0.9954	0.9954	NUM
cana-3636	173	8	and	and	CCONJ
cana-3636	173	9	psnr	psnr	NOUN
cana-3636	173	10	values	value	NOUN
cana-3636	173	11	reach	reach	VERB
cana-3636	173	12	26.65	26.65	NUM
cana-3636	173	13	to	to	ADP
cana-3636	173	14	26.89	26.89	NUM
cana-3636	173	15	,	,	PUNCT
cana-3636	173	16	indicating	indicate	VERB
cana-3636	173	17	outstanding	outstanding	ADJ
cana-3636	173	18	denoising	denoising	NOUN
cana-3636	173	19	performance	performance	NOUN
cana-3636	173	20	with	with	ADP
cana-3636	173	21	low	low	ADJ
cana-3636	173	22	signal	signal	NOUN
cana-3636	173	23	distortion	distortion	NOUN
cana-3636	173	24	.	.	PUNCT
cana-3636	174	1	the	the	DET
cana-3636	174	2	ensemble	ensemble	ADJ
cana-3636	174	3	approach	approach	NOUN
cana-3636	174	4	works	work	VERB
cana-3636	174	5	significantly	significantly	ADV
cana-3636	174	6	better	well	ADV
cana-3636	174	7	at	at	ADP
cana-3636	174	8	25	25	NUM
cana-3636	174	9	db	db	PROPN
cana-3636	174	10	,	,	PUNCT
cana-3636	174	11	with	with	ADP
cana-3636	174	12	snro	snro	ADJ
cana-3636	174	13	values	value	NOUN
cana-3636	174	14	between	between	ADP
cana-3636	174	15	25.24	25.24	NUM
cana-3636	174	16	and	and	CCONJ
cana-3636	174	17	26.74	26.74	NUM
cana-3636	174	18	.	.	PUNCT
cana-3636	175	1	while	while	SCONJ
cana-3636	175	2	psnr	psnr	NOUN
cana-3636	175	3	and	and	CCONJ
cana-3636	175	4	cc	cc	PROPN
cana-3636	175	5	continue	continue	VERB
cana-3636	175	6	to	to	PART
cana-3636	175	7	rise	rise	VERB
cana-3636	175	8	,	,	PUNCT
cana-3636	175	9	ranging	range	VERB
cana-3636	175	10	from	from	ADP
cana-3636	175	11	26.95	26.95	NUM
cana-3636	175	12	to	to	ADP
cana-3636	175	13	27.25	27.25	NUM
cana-3636	175	14	and	and	CCONJ
cana-3636	175	15	0.9963	0.9963	NUM
cana-3636	175	16	to	to	ADP
cana-3636	175	17	0.9977	0.9977	NUM
cana-3636	175	18	,	,	PUNCT
cana-3636	175	19	respectively	respectively	ADV
cana-3636	175	20	,	,	PUNCT
cana-3636	175	21	the	the	DET
cana-3636	175	22	rmse	rmse	ADJ
cana-3636	175	23	values	value	NOUN
cana-3636	175	24	stay	stay	VERB
cana-3636	175	25	steadily	steadily	ADV
cana-3636	175	26	low	low	ADJ
cana-3636	175	27	(	(	PUNCT
cana-3636	175	28	0.0902	0.0902	NUM
cana-3636	175	29	to	to	ADP
cana-3636	175	30	0.0912	0.0912	NUM
cana-3636	175	31	)	)	PUNCT
cana-3636	175	32	.	.	PUNCT
cana-3636	176	1	these	these	DET
cana-3636	176	2	findings	finding	NOUN
cana-3636	176	3	imply	imply	VERB
cana-3636	176	4	that	that	SCONJ
cana-3636	176	5	the	the	DET
cana-3636	176	6	original	original	ADJ
cana-3636	176	7	signal	signal	NOUN
cana-3636	176	8	was	be	AUX
cana-3636	176	9	recovered	recover	VERB
cana-3636	176	10	nearly	nearly	ADV
cana-3636	176	11	flawlessly	flawlessly	ADV
cana-3636	176	12	.	.	PUNCT
cana-3636	177	1	at	at	ADP
cana-3636	177	2	30	30	NUM
cana-3636	177	3	db	db	PROPN
cana-3636	177	4	,	,	PUNCT
cana-3636	177	5	snro	snro	PROPN
cana-3636	177	6	exceeds	exceed	VERB
cana-3636	177	7	30	30	NUM
cana-3636	177	8	db	db	NOUN
cana-3636	177	9	,	,	PUNCT
cana-3636	177	10	ranging	range	VERB
cana-3636	177	11	from	from	ADP
cana-3636	177	12	30.64	30.64	NUM
cana-3636	177	13	to	to	ADP
cana-3636	177	14	31.23	31.23	NUM
cana-3636	177	15	,	,	PUNCT
cana-3636	177	16	while	while	SCONJ
cana-3636	177	17	the	the	DET
cana-3636	177	18	rmse	rmse	NOUN
cana-3636	177	19	remains	remain	VERB
cana-3636	177	20	extremely	extremely	ADV
cana-3636	177	21	low	low	ADJ
cana-3636	177	22	(	(	PUNCT
cana-3636	177	23	0.0901	0.0901	NUM
cana-3636	177	24	to	to	ADP
cana-3636	177	25	0.0911	0.0911	NUM
cana-3636	177	26	)	)	PUNCT
cana-3636	177	27	.	.	PUNCT
cana-3636	178	1	psnr	psnr	NOUN
cana-3636	178	2	values	value	NOUN
cana-3636	178	3	range	range	VERB
cana-3636	178	4	from	from	ADP
cana-3636	178	5	28.84	28.84	NUM
cana-3636	178	6	to	to	ADP
cana-3636	178	7	28.98	28.98	NUM
cana-3636	178	8	,	,	PUNCT
cana-3636	178	9	and	and	CCONJ
cana-3636	178	10	the	the	DET
cana-3636	178	11	cc	cc	NOUN
cana-3636	178	12	is	be	AUX
cana-3636	178	13	impressively	impressively	ADV
cana-3636	178	14	high	high	ADJ
cana-3636	178	15	(	(	PUNCT
cana-3636	178	16	0.9973	0.9973	NUM
cana-3636	178	17	to	to	ADP
cana-3636	178	18	0.9993	0.9993	NUM
cana-3636	178	19	)	)	PUNCT
cana-3636	178	20	,	,	PUNCT
cana-3636	178	21	indicating	indicate	VERB
cana-3636	178	22	near	near	ADP
cana-3636	178	23	perfect	perfect	ADJ
cana-3636	178	24	denoising	denoising	NOUN
cana-3636	178	25	even	even	ADV
cana-3636	178	26	under	under	ADP
cana-3636	178	27	high	high	ADJ
cana-3636	178	28	noise	noise	NOUN
cana-3636	178	29	conditions	condition	NOUN
cana-3636	178	30	.	.	PUNCT
cana-3636	179	1	across	across	ADP
cana-3636	179	2	a	a	DET
cana-3636	179	3	range	range	NOUN
cana-3636	179	4	of	of	ADP
cana-3636	179	5	noise	noise	NOUN
cana-3636	179	6	levels	level	NOUN
cana-3636	179	7	,	,	PUNCT
cana-3636	179	8	the	the	DET
cana-3636	179	9	assessed	assessed	ADJ
cana-3636	179	10	denoising	denoising	NOUN
cana-3636	179	11	techniques	technique	NOUN
cana-3636	179	12	continuously	continuously	ADV
cana-3636	179	13	enhance	enhance	VERB
cana-3636	179	14	the	the	DET
cana-3636	179	15	fecg	fecg	NOUN
cana-3636	179	16	signals	signal	NOUN
cana-3636	179	17	'	'	PART
cana-3636	179	18	quality	quality	NOUN
cana-3636	179	19	,	,	PUNCT
cana-3636	179	20	proving	prove	VERB
cana-3636	179	21	their	their	PRON
cana-3636	179	22	usefulness	usefulness	NOUN
cana-3636	179	23	in	in	ADP
cana-3636	179	24	biomedical	biomedical	ADJ
cana-3636	179	25	signal	signal	NOUN
cana-3636	179	26	processing	processing	NOUN
cana-3636	179	27	,	,	PUNCT
cana-3636	179	28	where	where	SCONJ
cana-3636	179	29	precision	precision	NOUN
cana-3636	179	30	and	and	CCONJ
cana-3636	179	31	dependability	dependability	NOUN
cana-3636	179	32	are	be	AUX
cana-3636	179	33	crucial	crucial	ADJ
cana-3636	179	34	.	.	PUNCT
cana-3636	180	1	visual	visual	ADJ
cana-3636	180	2	representations	representation	NOUN
cana-3636	180	3	of	of	ADP
cana-3636	180	4	the	the	DET
cana-3636	180	5	fecg	fecg	NOUN
cana-3636	180	6	signal	signal	NOUN
cana-3636	180	7	extraction	extraction	NOUN
cana-3636	180	8	procedure	procedure	NOUN
cana-3636	180	9	at	at	ADP
cana-3636	180	10	each	each	DET
cana-3636	180	11	noise	noise	NOUN
cana-3636	180	12	level	level	NOUN
cana-3636	180	13	are	be	AUX
cana-3636	180	14	shown	show	VERB
cana-3636	180	15	in	in	ADP
cana-3636	180	16	figures	figure	NOUN
cana-3636	180	17	3	3	NUM
cana-3636	180	18	,	,	PUNCT
cana-3636	180	19	4	4	NUM
cana-3636	180	20	,	,	PUNCT
cana-3636	180	21	5	5	NUM
cana-3636	180	22	,	,	PUNCT
cana-3636	180	23	and	and	CCONJ
cana-3636	180	24	6	6	NUM
cana-3636	180	25	.	.	PUNCT
cana-3636	181	1	the	the	DET
cana-3636	181	2	capacity	capacity	NOUN
cana-3636	181	3	of	of	ADP
cana-3636	181	4	the	the	DET
cana-3636	181	5	ensemble	ensemble	ADJ
cana-3636	181	6	cnn	cnn	PROPN
cana-3636	181	7	approach	approach	NOUN
cana-3636	181	8	to	to	ADP
cana-3636	181	9	drastically	drastically	ADV
cana-3636	181	10	lower	low	ADJ
cana-3636	181	11	noise	noise	NOUN
cana-3636	181	12	while	while	SCONJ
cana-3636	181	13	maintaining	maintain	VERB
cana-3636	181	14	signal	signal	NOUN
cana-3636	181	15	integrity	integrity	NOUN
cana-3636	181	16	is	be	AUX
cana-3636	181	17	seen	see	VERB
cana-3636	181	18	in	in	ADP
cana-3636	181	19	these	these	DET
cana-3636	181	20	images	image	NOUN
cana-3636	181	21	.	.	PUNCT
cana-3636	182	1	in	in	ADP
cana-3636	182	2	practical	practical	ADJ
cana-3636	182	3	applications	application	NOUN
cana-3636	182	4	for	for	ADP
cana-3636	182	5	fetal	fetal	ADJ
cana-3636	182	6	monitoring	monitoring	NOUN
cana-3636	182	7	,	,	PUNCT
cana-3636	182	8	where	where	SCONJ
cana-3636	182	9	precise	precise	ADJ
cana-3636	182	10	and	and	CCONJ
cana-3636	182	11	unambiguous	unambiguous	ADJ
cana-3636	182	12	signal	signal	NOUN
cana-3636	182	13	retrieval	retrieval	NOUN
cana-3636	182	14	is	be	AUX
cana-3636	182	15	essential	essential	ADJ
cana-3636	182	16	for	for	ADP
cana-3636	182	17	correct	correct	ADJ
cana-3636	182	18	diagnosis	diagnosis	NOUN
cana-3636	182	19	and	and	CCONJ
cana-3636	182	20	monitoring	monitoring	NOUN
cana-3636	182	21	,	,	PUNCT
cana-3636	182	22	the	the	DET
cana-3636	182	23	visual	visual	ADJ
cana-3636	182	24	depiction	depiction	NOUN
cana-3636	182	25	further	further	ADJ
cana-3636	182	26	highlights	highlight	NOUN
cana-3636	182	27	the	the	DET
cana-3636	182	28	denoising	denoise	VERB
cana-3636	182	29	approach	approach	NOUN
cana-3636	182	30	's	's	PART
cana-3636	182	31	resilience	resilience	NOUN
cana-3636	182	32	and	and	CCONJ
cana-3636	182	33	promise	promise	NOUN
cana-3636	182	34	.	.	PUNCT
cana-3636	183	1	the	the	DET
cana-3636	183	2	denoised	denoise	VERB
cana-3636	183	3	signal	signal	NOUN
cana-3636	183	4	and	and	CCONJ
cana-3636	183	5	the	the	DET
cana-3636	183	6	noisy	noisy	ADJ
cana-3636	183	7	input	input	NOUN
cana-3636	183	8	are	be	AUX
cana-3636	183	9	graphically	graphically	ADV
cana-3636	183	10	contrasted	contrast	VERB
cana-3636	183	11	in	in	ADP
cana-3636	183	12	each	each	DET
cana-3636	183	13	figure	figure	NOUN
cana-3636	183	14	,	,	PUNCT
cana-3636	183	15	which	which	PRON
cana-3636	183	16	represents	represent	VERB
cana-3636	183	17	a	a	DET
cana-3636	183	18	different	different	ADJ
cana-3636	183	19	noise	noise	NOUN
cana-3636	183	20	level	level	NOUN
cana-3636	183	21	and	and	CCONJ
cana-3636	183	22	supports	support	VERB
cana-3636	183	23	the	the	DET
cana-3636	183	24	quantitative	quantitative	ADJ
cana-3636	183	25	findings	finding	NOUN
cana-3636	183	26	presented	present	VERB
cana-3636	183	27	in	in	ADP
cana-3636	183	28	table	table	NOUN
cana-3636	183	29	1	1	NUM
cana-3636	183	30	the	the	DET
cana-3636	183	31	use	use	NOUN
cana-3636	183	32	of	of	ADP
cana-3636	183	33	lms	lm	NOUN
cana-3636	183	34	and	and	CCONJ
cana-3636	183	35	rls	rls	PROPN
cana-3636	183	36	filters	filter	NOUN
cana-3636	183	37	to	to	PART
cana-3636	183	38	recover	recover	VERB
cana-3636	183	39	fecg	fecg	NOUN
cana-3636	183	40	signals	signal	NOUN
cana-3636	183	41	from	from	ADP
cana-3636	183	42	mecg	mecg	ADJ
cana-3636	183	43	recordings	recording	NOUN
cana-3636	183	44	was	be	AUX
cana-3636	183	45	examined	examine	VERB
cana-3636	183	46	by	by	ADP
cana-3636	183	47	radana	radana	PROPN
cana-3636	183	48	et	et	PROPN
cana-3636	183	49	al	al	PROPN
cana-3636	183	50	.	.	PUNCT
cana-3636	184	1	(	(	PUNCT
cana-3636	184	2	2016	2016	NUM
cana-3636	184	3	)	)	PUNCT
cana-3636	184	4	,	,	PUNCT
cana-3636	184	5	who	who	PRON
cana-3636	184	6	showed	show	VERB
cana-3636	184	7	notable	notable	ADJ
cana-3636	184	8	gains	gain	NOUN
cana-3636	184	9	in	in	ADP
cana-3636	184	10	snr	snr	PROPN
cana-3636	184	11	.	.	PUNCT
cana-3636	185	1	the	the	DET
cana-3636	185	2	rls	rls	PROPN
cana-3636	185	3	filter	filter	NOUN
cana-3636	185	4	yielded	yield	VERB
cana-3636	185	5	a	a	DET
cana-3636	185	6	decent	decent	ADJ
cana-3636	185	7	4.6	4.6	NUM
cana-3636	185	8	db	db	NOUN
cana-3636	185	9	improvement	improvement	NOUN
cana-3636	185	10	in	in	ADP
cana-3636	185	11	snr	snr	PROPN
cana-3636	185	12	,	,	PUNCT
cana-3636	185	13	whereas	whereas	SCONJ
cana-3636	185	14	the	the	DET
cana-3636	185	15	lms	lm	NOUN
cana-3636	185	16	filter	filter	NOUN
cana-3636	185	17	demonstrated	demonstrate	VERB
cana-3636	185	18	a	a	DET
cana-3636	185	19	notable	notable	ADJ
cana-3636	185	20	7.7	7.7	NUM
cana-3636	185	21	db	db	NOUN
cana-3636	185	22	boost	boost	NOUN
cana-3636	185	23	[	[	X
cana-3636	185	24	50	50	NUM
cana-3636	185	25	]	]	PUNCT
cana-3636	185	26	.	.	PUNCT
cana-3636	186	1	in	in	ADP
cana-3636	186	2	order	order	NOUN
cana-3636	186	3	to	to	PART
cana-3636	186	4	improve	improve	VERB
cana-3636	186	5	the	the	DET
cana-3636	186	6	snr	snr	NOUN
cana-3636	186	7	of	of	ADP
cana-3636	186	8	ecg	ecg	PROPN
cana-3636	186	9	signals	signal	NOUN
cana-3636	186	10	,	,	PUNCT
cana-3636	186	11	antczak	antczak	NOUN
cana-3636	186	12	(	(	PUNCT
cana-3636	186	13	2018	2018	NUM
cana-3636	186	14	)	)	PUNCT
cana-3636	186	15	adopted	adopt	VERB
cana-3636	186	16	a	a	DET
cana-3636	186	17	different	different	ADJ
cana-3636	186	18	strategy	strategy	NOUN
cana-3636	186	19	by	by	ADP
cana-3636	186	20	employing	employ	VERB
cana-3636	186	21	deep	deep	ADJ
cana-3636	186	22	rnns	rnn	NOUN
cana-3636	186	23	.	.	PUNCT
cana-3636	187	1	antczak	antczak	PROPN
cana-3636	187	2	made	make	VERB
cana-3636	187	3	significant	significant	ADJ
cana-3636	187	4	progress	progress	NOUN
cana-3636	187	5	,	,	PUNCT
cana-3636	187	6	increasing	increase	VERB
cana-3636	187	7	the	the	DET
cana-3636	187	8	snr	snr	NOUN
cana-3636	187	9	from	from	ADP
cana-3636	187	10	its	its	PRON
cana-3636	187	11	original	original	ADJ
cana-3636	187	12	value	value	NOUN
cana-3636	187	13	of	of	ADP
cana-3636	187	14	-8.82	-8.82	NOUN
cana-3636	187	15	db	db	NOUN
cana-3636	187	16	to	to	ADP
cana-3636	187	17	7.71	7.71	NUM
cana-3636	187	18	db	db	NOUN
cana-3636	187	19	[	[	X
cana-3636	187	20	51	51	NUM
cana-3636	187	21	]	]	PUNCT
cana-3636	187	22	.	.	PUNCT
cana-3636	188	1	to	to	PART
cana-3636	188	2	reduce	reduce	VERB
cana-3636	188	3	noise	noise	NOUN
cana-3636	188	4	in	in	ADP
cana-3636	188	5	ecg	ecg	PROPN
cana-3636	188	6	readings	reading	NOUN
cana-3636	188	7	,	,	PUNCT
cana-3636	188	8	xiong	xiong	PROPN
cana-3636	188	9	et	et	PROPN
cana-3636	188	10	al	al	PROPN
cana-3636	188	11	.	.	PROPN
cana-3636	189	1	(	(	PUNCT
cana-3636	189	2	2016	2016	NUM
cana-3636	189	3	)	)	PUNCT
cana-3636	189	4	used	use	VERB
cana-3636	189	5	deep	deep	ADJ
cana-3636	189	6	neural	neural	ADJ
cana-3636	189	7	networks	network	NOUN
cana-3636	189	8	,	,	PUNCT
cana-3636	189	9	more	more	ADV
cana-3636	189	10	especially	especially	ADV
cana-3636	189	11	denoising	denoise	VERB
cana-3636	189	12	autoencoders	autoencoder	NOUN
cana-3636	189	13	.	.	PUNCT
cana-3636	190	1	their	their	PRON
cana-3636	190	2	approach	approach	NOUN
cana-3636	190	3	produced	produce	VERB
cana-3636	190	4	an	an	DET
cana-3636	190	5	rmse	rmse	NOUN
cana-3636	190	6	as	as	ADV
cana-3636	190	7	low	low	ADJ
cana-3636	190	8	as	as	ADP
cana-3636	190	9	0.037	0.037	NUM
cana-3636	190	10	and	and	CCONJ
cana-3636	190	11	remarkable	remarkable	ADJ
cana-3636	190	12	snr	snr	NOUN
cana-3636	190	13	gains	gain	NOUN
cana-3636	190	14	,	,	PUNCT
cana-3636	190	15	ranging	range	VERB
cana-3636	190	16	from	from	ADP
cana-3636	190	17	21.56	21.56	NUM
cana-3636	190	18	db	db	NOUN
cana-3636	190	19	to	to	ADP
cana-3636	190	20	22.96	22.96	NUM
cana-3636	190	21	db	db	PROPN
cana-3636	190	22	[	[	X
cana-3636	190	23	52	52	NUM
cana-3636	190	24	]	]	PUNCT
cana-3636	190	25	.	.	PUNCT
cana-3636	191	1	communications	communication	NOUN
cana-3636	191	2	on	on	ADP
cana-3636	191	3	applied	apply	VERB
cana-3636	191	4	nonlinear	nonlinear	ADJ
cana-3636	191	5	analysis	analysis	NOUN
cana-3636	191	6	issn	issn	NOUN
cana-3636	191	7	:	:	PUNCT
cana-3636	191	8	1074	1074	NUM
cana-3636	191	9	-	-	PUNCT
cana-3636	191	10	133x	133x	NUM
cana-3636	191	11	vol	vol	NOUN
cana-3636	191	12	32	32	NUM
cana-3636	191	13	no	no	NOUN
cana-3636	191	14	.	.	PUNCT
cana-3636	192	1	8s	8s	PROPN
cana-3636	192	2	(	(	PUNCT
cana-3636	192	3	2025	2025	NUM
cana-3636	192	4	)	)	PUNCT
cana-3636	192	5	208	208	NUM
cana-3636	192	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	192	7	table1	table1	PROPN
cana-3636	192	8	performance	performance	NOUN
cana-3636	192	9	parameters	parameter	NOUN
cana-3636	192	10	at	at	ADP
cana-3636	192	11	different	different	ADJ
cana-3636	192	12	noise	noise	NOUN
cana-3636	192	13	levels	level	NOUN
cana-3636	192	14	s.no	s.no	VERB
cana-3636	192	15	snri	snri	NOUN
cana-3636	192	16	snro	snro	ADJ
cana-3636	192	17	rmse	rmse	PROPN
cana-3636	192	18	psnr	psnr	PROPN
cana-3636	192	19	cc	cc	PROPN
cana-3636	192	20	at	at	ADP
cana-3636	192	21	5	5	NUM
cana-3636	192	22	db	db	ADP
cana-3636	192	23	ts1	ts1	PROPN
cana-3636	192	24	5.02	5.02	NUM
cana-3636	192	25	13.11	13.11	NUM
cana-3636	192	26	0.2438	0.2438	NUM
cana-3636	192	27	18.33	18.33	NUM
cana-3636	192	28	0.9602	0.9602	NUM
cana-3636	192	29	ts2	ts2	NOUN
cana-3636	192	30	4.97	4.97	NUM
cana-3636	192	31	13.13	13.13	NUM
cana-3636	192	32	0.2434	0.2434	NUM
cana-3636	192	33	18.34	18.34	NUM
cana-3636	192	34	0.9602	0.9602	NUM
cana-3636	192	35	ts3	ts3	NOUN
cana-3636	192	36	5.04	5.04	NUM
cana-3636	192	37	13.16	13.16	NUM
cana-3636	192	38	0.2425	0.2425	NUM
cana-3636	192	39	18.37	18.37	NUM
cana-3636	192	40	0.9607	0.9607	NUM
cana-3636	192	41	ts4	ts4	ADP
cana-3636	192	42	4.98	4.98	NUM
cana-3636	192	43	13.15	13.15	NUM
cana-3636	192	44	0.2428	0.2428	NUM
cana-3636	192	45	18.36	18.36	NUM
cana-3636	192	46	0.9603	0.9603	NUM
cana-3636	192	47	ts5	ts5	ADP
cana-3636	192	48	4.96	4.96	NUM
cana-3636	192	49	13.08	13.08	NUM
cana-3636	192	50	0.2447	0.2447	NUM
cana-3636	192	51	18.29	18.29	NUM
cana-3636	192	52	0.9597	0.9597	NUM
cana-3636	192	53	ts6	ts6	NOUN
cana-3636	192	54	5.01	5.01	NUM
cana-3636	192	55	13.16	13.16	NUM
cana-3636	192	56	0.2425	0.2425	NUM
cana-3636	192	57	18.37	18.37	NUM
cana-3636	192	58	0.9608	0.9608	NUM
cana-3636	192	59	at	at	ADP
cana-3636	192	60	10	10	NUM
cana-3636	192	61	db	db	PROPN
cana-3636	192	62	ts1	ts1	PROPN
cana-3636	192	63	9.97	9.97	NUM
cana-3636	192	64	16.95	16.95	NUM
cana-3636	192	65	0.1567	0.1567	NUM
cana-3636	192	66	22.17	22.17	NUM
cana-3636	192	67	0.9840	0.9840	NUM
cana-3636	192	68	ts2	ts2	NOUN
cana-3636	192	69	10.00	10.00	NUM
cana-3636	192	70	17.09	17.09	NUM
cana-3636	192	71	0.1542	0.1542	NUM
cana-3636	192	72	22.30	22.30	NUM
cana-3636	192	73	0.9846	0.9846	NUM
cana-3636	192	74	ts3	ts3	PROPN
cana-3636	192	75	9.96	9.96	NUM
cana-3636	192	76	16.91	16.91	NUM
cana-3636	192	77	0.1575	0.1575	NUM
cana-3636	192	78	22.12	22.12	NUM
cana-3636	192	79	0.9838	0.9838	NUM
cana-3636	192	80	ts4	ts4	ADP
cana-3636	192	81	10.05	10.05	NUM
cana-3636	192	82	17.04	17.04	NUM
cana-3636	192	83	0.1551	0.1551	NUM
cana-3636	192	84	22.26	22.26	NUM
cana-3636	192	85	0.9845	0.9845	NUM
cana-3636	192	86	ts5	ts5	ADP
cana-3636	192	87	10.03	10.03	NUM
cana-3636	192	88	17.07	17.07	NUM
cana-3636	192	89	0.1546	0.1546	NUM
cana-3636	192	90	22.28	22.28	NUM
cana-3636	192	91	0.9845	0.9845	NUM
cana-3636	192	92	ts6	ts6	X
cana-3636	192	93	10.02	10.02	NUM
cana-3636	192	94	17.06	17.06	NUM
cana-3636	192	95	0.1547	0.1547	NUM
cana-3636	192	96	22.28	22.28	NUM
cana-3636	192	97	0.9844	0.9844	NUM
cana-3636	192	98	at	at	ADP
cana-3636	192	99	15	15	NUM
cana-3636	192	100	db	db	NOUN
cana-3636	192	101	ts1	ts1	PROPN
cana-3636	192	102	15.00	15.00	NUM
cana-3636	192	103	19.91	19.91	NUM
cana-3636	192	104	0.1114	0.1114	NUM
cana-3636	192	105	25.12	25.12	NUM
cana-3636	192	106	0.9925	0.9925	NUM
cana-3636	192	107	ts2	ts2	NOUN
cana-3636	192	108	14.98	14.98	NUM
cana-3636	192	109	20.00	20.00	NUM
cana-3636	192	110	0.1104	0.1104	NUM
cana-3636	192	111	25.21	25.21	NUM
cana-3636	192	112	0.9926	0.9926	NUM
cana-3636	192	113	ts3	ts3	NOUN
cana-3636	192	114	15.02	15.02	NUM
cana-3636	192	115	20.00	20.00	NUM
cana-3636	192	116	0.1103	0.1103	NUM
cana-3636	192	117	25.21	25.21	NUM
cana-3636	192	118	0.9927	0.9927	NUM
cana-3636	192	119	ts4	ts4	DET
cana-3636	192	120	14.98	14.98	NUM
cana-3636	192	121	19.98	19.98	NUM
cana-3636	192	122	0.1105	0.1105	NUM
cana-3636	192	123	25.20	25.20	NUM
cana-3636	192	124	0.9926	0.9926	NUM
cana-3636	192	125	ts5	ts5	ADP
cana-3636	192	126	15.02	15.02	NUM
cana-3636	192	127	19.94	19.94	NUM
cana-3636	192	128	0.1110	0.1110	NUM
cana-3636	192	129	25.16	25.16	NUM
cana-3636	192	130	0.9926	0.9926	NUM
cana-3636	192	131	ts6	ts6	NOUN
cana-3636	192	132	15.02	15.02	NUM
cana-3636	192	133	20.01	20.01	NUM
cana-3636	192	134	0.1102	0.1102	NUM
cana-3636	192	135	25.22	25.22	NUM
cana-3636	192	136	0.9927	0.9927	NUM
cana-3636	192	137	at	at	ADP
cana-3636	192	138	20	20	NUM
cana-3636	192	139	db	db	NOUN
cana-3636	192	140	ts1	ts1	PROPN
cana-3636	192	141	20.03	20.03	NUM
cana-3636	192	142	21.64	21.64	NUM
cana-3636	192	143	0.0913	0.0913	NUM
cana-3636	192	144	26.65	26.65	NUM
cana-3636	192	145	0.9953	0.9953	NUM
cana-3636	192	146	ts2	ts2	NOUN
cana-3636	192	147	20.02	20.02	NUM
cana-3636	192	148	21.64	21.64	NUM
cana-3636	192	149	0.0913	0.0913	NUM
cana-3636	192	150	26.89	26.89	NUM
cana-3636	192	151	0.9963	0.9963	NUM
cana-3636	192	152	ts3	ts3	PROPN
cana-3636	192	153	19.97	19.97	NUM
cana-3636	192	154	21.63	21.63	NUM
cana-3636	192	155	0.0915	0.0915	NUM
cana-3636	192	156	26.74	26.74	NUM
cana-3636	192	157	0.9964	0.9964	NUM
cana-3636	192	158	ts4	ts4	PRON
cana-3636	192	159	19.98	19.98	NUM
cana-3636	192	160	21.66	21.66	NUM
cana-3636	192	161	0.0911	0.0911	NUM
cana-3636	192	162	26.68	26.68	NUM
cana-3636	192	163	0.9922	0.9922	NUM
cana-3636	192	164	ts5	ts5	ADP
cana-3636	192	165	20.04	20.04	NUM
cana-3636	192	166	21.63	21.63	NUM
cana-3636	192	167	0.0914	0.0914	NUM
cana-3636	192	168	26.44	26.44	NUM
cana-3636	192	169	0.9937	0.9937	NUM
cana-3636	192	170	ts6	ts6	X
cana-3636	192	171	19.98	19.98	NUM
cana-3636	192	172	21.64	21.64	NUM
cana-3636	192	173	0.0913	0.0913	NUM
cana-3636	192	174	26.56	26.56	NUM
cana-3636	192	175	0.9954	0.9954	NUM
cana-3636	192	176	at	at	ADP
cana-3636	192	177	25	25	NUM
cana-3636	192	178	db	db	NOUN
cana-3636	192	179	ts1	ts1	PROPN
cana-3636	192	180	24.91	24.91	NUM
cana-3636	192	181	25.24	25.24	NUM
cana-3636	192	182	0.0910	0.0910	NUM
cana-3636	192	183	27.22	27.22	NUM
cana-3636	192	184	0.9963	0.9963	NUM
cana-3636	192	185	ts2	ts2	NOUN
cana-3636	192	186	24.97	24.97	NUM
cana-3636	192	187	25.67	25.67	NUM
cana-3636	192	188	0.0911	0.0911	NUM
cana-3636	192	189	26.85	26.85	NUM
cana-3636	192	190	0.9969	0.9969	NUM
cana-3636	192	191	ts3	ts3	PROPN
cana-3636	192	192	25.16	25.16	NUM
cana-3636	192	193	25.54	25.54	NUM
cana-3636	192	194	0.0909	0.0909	NUM
cana-3636	192	195	27.15	27.15	NUM
cana-3636	192	196	0.9971	0.9971	NUM
cana-3636	192	197	ts4	ts4	DET
cana-3636	192	198	25.13	25.13	NUM
cana-3636	192	199	25.24	25.24	NUM
cana-3636	192	200	0.0905	0.0905	NUM
cana-3636	192	201	27.25	27.25	NUM
cana-3636	192	202	0.9969	0.9969	NUM
cana-3636	192	203	ts5	ts5	ADP
cana-3636	192	204	25.03	25.03	NUM
cana-3636	192	205	26.74	26.74	NUM
cana-3636	192	206	0.0912	0.0912	NUM
cana-3636	192	207	26.95	26.95	NUM
cana-3636	192	208	0.9973	0.9973	NUM
cana-3636	192	209	ts6	ts6	X
cana-3636	192	210	25.01	25.01	NUM
cana-3636	192	211	26.69	26.69	NUM
cana-3636	192	212	0.0902	0.0902	NUM
cana-3636	192	213	27.11	27.11	NUM
cana-3636	192	214	0.9977	0.9977	NUM
cana-3636	192	215	at	at	ADP
cana-3636	192	216	30	30	NUM
cana-3636	192	217	db	db	NOUN
cana-3636	192	218	ts1	ts1	PROPN
cana-3636	192	219	30.01	30.01	NUM
cana-3636	192	220	31.14	31.14	NUM
cana-3636	192	221	0.0901	0.0901	NUM
cana-3636	192	222	28.85	28.85	NUM
cana-3636	192	223	0.9973	0.9973	NUM
cana-3636	192	224	ts2	ts2	NOUN
cana-3636	192	225	29.98	29.98	NUM
cana-3636	192	226	30.64	30.64	NUM
cana-3636	192	227	0.0905	0.0905	NUM
cana-3636	192	228	28.95	28.95	NUM
cana-3636	192	229	0.9984	0.9984	NUM
cana-3636	192	230	ts3	ts3	PROPN
cana-3636	192	231	29.97	29.97	NUM
cana-3636	192	232	31.23	31.23	NUM
cana-3636	192	233	0.0906	0.0906	NUM
cana-3636	192	234	28.84	28.84	NUM
cana-3636	192	235	0.9991	0.9991	NUM
cana-3636	192	236	ts4	ts4	ADP
cana-3636	192	237	30.02	30.02	NUM
cana-3636	192	238	30.66	30.66	NUM
cana-3636	192	239	0.0904	0.0904	NUM
cana-3636	192	240	28.98	28.98	NUM
cana-3636	192	241	0.9979	0.9979	NUM
cana-3636	192	242	ts5	ts5	ADP
cana-3636	192	243	30.04	30.04	NUM
cana-3636	192	244	31.13	31.13	NUM
cana-3636	192	245	0.0911	0.0911	NUM
cana-3636	192	246	28.96	28.96	NUM
cana-3636	192	247	0.9989	0.9989	NUM
cana-3636	192	248	ts6	ts6	X
cana-3636	192	249	30.01	30.01	NUM
cana-3636	192	250	30.94	30.94	NUM
cana-3636	192	251	0.0902	0.0902	NUM
cana-3636	192	252	28.86	28.86	NUM
cana-3636	192	253	0.9993	0.9993	NUM
cana-3636	192	254	communications	communication	NOUN
cana-3636	192	255	on	on	ADP
cana-3636	192	256	applied	apply	VERB
cana-3636	192	257	nonlinear	nonlinear	ADJ
cana-3636	192	258	analysis	analysis	NOUN
cana-3636	192	259	issn	issn	NOUN
cana-3636	192	260	:	:	PUNCT
cana-3636	192	261	1074	1074	NUM
cana-3636	192	262	-	-	PUNCT
cana-3636	192	263	133x	133x	NUM
cana-3636	192	264	vol	vol	NOUN
cana-3636	192	265	32	32	NUM
cana-3636	192	266	no	no	NOUN
cana-3636	192	267	.	.	PUNCT
cana-3636	193	1	8s	8s	PROPN
cana-3636	193	2	(	(	PUNCT
cana-3636	193	3	2025	2025	NUM
cana-3636	193	4	)	)	PUNCT
cana-3636	193	5	209	209	NUM
cana-3636	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	193	7	fig	fig	NOUN
cana-3636	193	8	.	.	PUNCT
cana-3636	194	1	3	3	NUM
cana-3636	194	2	fecg	fecg	PROPN
cana-3636	194	3	signal	signal	NOUN
cana-3636	194	4	extraction	extraction	NOUN
cana-3636	194	5	for	for	ADP
cana-3636	194	6	sample	sample	NOUN
cana-3636	194	7	1	1	NUM
cana-3636	194	8	–	–	PUNCT
cana-3636	194	9	(	(	PUNCT
cana-3636	194	10	a	a	PRON
cana-3636	194	11	)	)	PUNCT
cana-3636	194	12	original	original	ADJ
cana-3636	194	13	fecg	fecg	NOUN
cana-3636	194	14	signal	signal	NOUN
cana-3636	194	15	,	,	PUNCT
cana-3636	194	16	(	(	PUNCT
cana-3636	194	17	b	b	X
cana-3636	194	18	)	)	PUNCT
cana-3636	194	19	noisy	noisy	ADJ
cana-3636	194	20	fecg	fecg	NOUN
cana-3636	194	21	signal	signal	NOUN
cana-3636	194	22	at	at	ADP
cana-3636	194	23	5db	5db	NUM
cana-3636	194	24	,	,	PUNCT
cana-3636	194	25	(	(	PUNCT
cana-3636	194	26	c	c	NOUN
cana-3636	194	27	)	)	PUNCT
cana-3636	194	28	extracted	extract	VERB
cana-3636	194	29	fecg	fecg	NOUN
cana-3636	194	30	signal	signal	NOUN
cana-3636	194	31	using	use	VERB
cana-3636	194	32	ensemble	ensemble	ADJ
cana-3636	194	33	cnn	cnn	PROPN
cana-3636	194	34	fig	fig	NOUN
cana-3636	194	35	.	.	PUNCT
cana-3636	195	1	4	4	NUM
cana-3636	195	2	fecg	fecg	PROPN
cana-3636	195	3	signal	signal	NOUN
cana-3636	195	4	extraction	extraction	NOUN
cana-3636	195	5	for	for	ADP
cana-3636	195	6	sample	sample	NOUN
cana-3636	195	7	1–(a)original	1–(a)original	PROPN
cana-3636	195	8	fecg	fecg	NOUN
cana-3636	195	9	signal	signal	NOUN
cana-3636	195	10	,	,	PUNCT
cana-3636	195	11	(	(	PUNCT
cana-3636	195	12	b	b	X
cana-3636	195	13	)	)	PUNCT
cana-3636	195	14	noisy	noisy	ADJ
cana-3636	195	15	fecg	fecg	NOUN
cana-3636	195	16	signal	signal	NOUN
cana-3636	195	17	at	at	ADP
cana-3636	195	18	10db	10db	ADV
cana-3636	195	19	,	,	PUNCT
cana-3636	195	20	(	(	PUNCT
cana-3636	195	21	c	c	NOUN
cana-3636	195	22	)	)	PUNCT
cana-3636	195	23	extracted	extract	VERB
cana-3636	195	24	fecg	fecg	NOUN
cana-3636	195	25	signal	signal	NOUN
cana-3636	195	26	using	use	VERB
cana-3636	195	27	ensemble	ensemble	ADJ
cana-3636	195	28	cnn	cnn	PROPN
cana-3636	195	29	.	.	PUNCT
cana-3636	196	1	fig	fig	NOUN
cana-3636	196	2	.	.	PUNCT
cana-3636	197	1	5	5	NUM
cana-3636	197	2	fecg	fecg	PROPN
cana-3636	197	3	signal	signal	NOUN
cana-3636	197	4	extraction	extraction	NOUN
cana-3636	197	5	for	for	ADP
cana-3636	197	6	sample	sample	NOUN
cana-3636	197	7	1	1	NUM
cana-3636	197	8	–	–	PUNCT
cana-3636	197	9	(	(	PUNCT
cana-3636	197	10	a	a	PRON
cana-3636	197	11	)	)	PUNCT
cana-3636	197	12	original	original	ADJ
cana-3636	197	13	fecg	fecg	NOUN
cana-3636	197	14	signal	signal	NOUN
cana-3636	197	15	,	,	PUNCT
cana-3636	197	16	(	(	PUNCT
cana-3636	197	17	b	b	X
cana-3636	197	18	)	)	PUNCT
cana-3636	197	19	noisy	noisy	ADJ
cana-3636	197	20	fecg	fecg	NOUN
cana-3636	197	21	signal	signal	NOUN
cana-3636	197	22	at	at	ADP
cana-3636	197	23	15db	15db	NUM
cana-3636	197	24	,	,	PUNCT
cana-3636	197	25	(	(	PUNCT
cana-3636	197	26	c	c	NOUN
cana-3636	197	27	)	)	PUNCT
cana-3636	197	28	extracted	extract	VERB
cana-3636	197	29	fecg	fecg	NOUN
cana-3636	197	30	signal	signal	NOUN
cana-3636	197	31	using	use	VERB
cana-3636	197	32	ensemble	ensemble	ADJ
cana-3636	197	33	cnn	cnn	PROPN
cana-3636	197	34	.	.	PUNCT
cana-3636	198	1	communications	communication	NOUN
cana-3636	198	2	on	on	ADP
cana-3636	198	3	applied	apply	VERB
cana-3636	198	4	nonlinear	nonlinear	ADJ
cana-3636	198	5	analysis	analysis	NOUN
cana-3636	198	6	issn	issn	NOUN
cana-3636	198	7	:	:	PUNCT
cana-3636	198	8	1074	1074	NUM
cana-3636	198	9	-	-	PUNCT
cana-3636	198	10	133x	133x	NUM
cana-3636	198	11	vol	vol	NOUN
cana-3636	198	12	32	32	NUM
cana-3636	198	13	no	no	NOUN
cana-3636	198	14	.	.	PUNCT
cana-3636	199	1	8s	8s	PROPN
cana-3636	199	2	(	(	PUNCT
cana-3636	199	3	2025	2025	NUM
cana-3636	199	4	)	)	PUNCT
cana-3636	199	5	210	210	NUM
cana-3636	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	199	7	fig	fig	NOUN
cana-3636	199	8	.	.	PUNCT
cana-3636	200	1	6	6	NUM
cana-3636	200	2	fecg	fecg	PROPN
cana-3636	200	3	signal	signal	NOUN
cana-3636	200	4	extraction	extraction	NOUN
cana-3636	200	5	for	for	ADP
cana-3636	200	6	sample	sample	NOUN
cana-3636	200	7	1	1	NUM
cana-3636	200	8	–	–	PUNCT
cana-3636	200	9	(	(	PUNCT
cana-3636	200	10	a	a	PRON
cana-3636	200	11	)	)	PUNCT
cana-3636	200	12	original	original	ADJ
cana-3636	200	13	fecg	fecg	NOUN
cana-3636	200	14	signal	signal	NOUN
cana-3636	200	15	,	,	PUNCT
cana-3636	200	16	(	(	PUNCT
cana-3636	200	17	b	b	X
cana-3636	200	18	)	)	PUNCT
cana-3636	200	19	noisy	noisy	ADJ
cana-3636	200	20	fecg	fecg	NOUN
cana-3636	200	21	signal	signal	NOUN
cana-3636	200	22	at	at	ADP
cana-3636	200	23	20db	20db	NOUN
cana-3636	200	24	,	,	PUNCT
cana-3636	200	25	(	(	PUNCT
cana-3636	200	26	c	c	NOUN
cana-3636	200	27	)	)	PUNCT
cana-3636	200	28	extracted	extract	VERB
cana-3636	200	29	fecg	fecg	NOUN
cana-3636	200	30	signal	signal	NOUN
cana-3636	200	31	using	use	VERB
cana-3636	200	32	ensemble	ensemble	ADJ
cana-3636	200	33	cnn	cnn	PROPN
cana-3636	200	34	.	.	PUNCT
cana-3636	201	1	an	an	DET
cana-3636	201	2	enhanced	enhanced	ADJ
cana-3636	201	3	deep	deep	ADJ
cana-3636	201	4	cnn	cnn	NOUN
cana-3636	201	5	architecture	architecture	NOUN
cana-3636	201	6	created	create	VERB
cana-3636	201	7	especially	especially	ADV
cana-3636	201	8	for	for	ADP
cana-3636	201	9	denoising	denoise	VERB
cana-3636	201	10	fecg	fecg	NOUN
cana-3636	201	11	signals	signal	NOUN
cana-3636	201	12	was	be	AUX
cana-3636	201	13	presented	present	VERB
cana-3636	201	14	by	by	ADP
cana-3636	201	15	fotiadou	fotiadou	PROPN
cana-3636	201	16	et	et	PROPN
cana-3636	201	17	al	al	PROPN
cana-3636	201	18	.	.	PROPN
cana-3636	202	1	(	(	PUNCT
cana-3636	202	2	2020	2020	NUM
cana-3636	202	3	)	)	PUNCT
cana-3636	202	4	.	.	PUNCT
cana-3636	203	1	their	their	PRON
cana-3636	203	2	network	network	NOUN
cana-3636	203	3	encoded	encode	VERB
cana-3636	203	4	the	the	DET
cana-3636	203	5	main	main	ADJ
cana-3636	203	6	signal	signal	NOUN
cana-3636	203	7	properties	property	NOUN
cana-3636	203	8	and	and	CCONJ
cana-3636	203	9	decoded	decode	VERB
cana-3636	203	10	them	they	PRON
cana-3636	203	11	to	to	PART
cana-3636	203	12	recover	recover	VERB
cana-3636	203	13	finer	fine	ADJ
cana-3636	203	14	information	information	NOUN
cana-3636	203	15	,	,	PUNCT
cana-3636	203	16	framing	frame	VERB
cana-3636	203	17	the	the	DET
cana-3636	203	18	denoising	denoising	NOUN
cana-3636	203	19	task	task	NOUN
cana-3636	203	20	as	as	ADP
cana-3636	203	21	an	an	DET
cana-3636	203	22	end	end	NOUN
cana-3636	203	23	-	-	PUNCT
cana-3636	203	24	to	to	ADP
cana-3636	203	25	-	-	PUNCT
cana-3636	203	26	end	end	NOUN
cana-3636	203	27	process	process	NOUN
cana-3636	203	28	by	by	ADP
cana-3636	203	29	combining	combine	VERB
cana-3636	203	30	convolutional	convolutional	ADJ
cana-3636	203	31	and	and	CCONJ
cana-3636	203	32	transposed	transpose	VERB
cana-3636	203	33	convolutional	convolutional	ADJ
cana-3636	203	34	layers	layer	NOUN
cana-3636	203	35	.	.	PUNCT
cana-3636	204	1	an	an	DET
cana-3636	204	2	impressive	impressive	ADJ
cana-3636	204	3	snr	snr	NOUN
cana-3636	204	4	enhancement	enhancement	NOUN
cana-3636	204	5	of	of	ADP
cana-3636	204	6	about	about	ADV
cana-3636	204	7	11	11	NUM
cana-3636	204	8	db	db	NOUN
cana-3636	204	9	was	be	AUX
cana-3636	204	10	achieved	achieve	VERB
cana-3636	204	11	with	with	ADP
cana-3636	204	12	this	this	DET
cana-3636	204	13	novel	novel	ADJ
cana-3636	204	14	method	method	NOUN
cana-3636	204	15	[	[	X
cana-3636	204	16	26	26	NUM
cana-3636	204	17	]	]	PUNCT
cana-3636	204	18	.	.	PUNCT
cana-3636	205	1	the	the	DET
cana-3636	205	2	suggested	suggest	VERB
cana-3636	205	3	ensemble	ensemble	ADJ
cana-3636	205	4	learning	learning	NOUN
cana-3636	205	5	-	-	PUNCT
cana-3636	205	6	based	base	VERB
cana-3636	205	7	method	method	NOUN
cana-3636	205	8	provides	provide	VERB
cana-3636	205	9	a	a	DET
cana-3636	205	10	notable	notable	ADJ
cana-3636	205	11	improvement	improvement	NOUN
cana-3636	205	12	in	in	ADP
cana-3636	205	13	fecg	fecg	NOUN
cana-3636	205	14	denoising	denoising	NOUN
cana-3636	205	15	,	,	PUNCT
cana-3636	205	16	building	build	VERB
cana-3636	205	17	on	on	ADP
cana-3636	205	18	these	these	DET
cana-3636	205	19	earlier	early	ADJ
cana-3636	205	20	investigations	investigation	NOUN
cana-3636	205	21	.	.	PUNCT
cana-3636	206	1	the	the	DET
cana-3636	206	2	approach	approach	NOUN
cana-3636	206	3	continuously	continuously	ADV
cana-3636	206	4	improves	improve	VERB
cana-3636	206	5	snro	snro	ADJ
cana-3636	206	6	,	,	PUNCT
cana-3636	206	7	lowers	lower	VERB
cana-3636	206	8	rmse	rmse	NOUN
cana-3636	206	9	,	,	PUNCT
cana-3636	206	10	and	and	CCONJ
cana-3636	206	11	sustains	sustain	VERB
cana-3636	206	12	high	high	ADJ
cana-3636	206	13	psnr	psnr	NOUN
cana-3636	206	14	and	and	CCONJ
cana-3636	206	15	cc	cc	NOUN
cana-3636	206	16	values	value	NOUN
cana-3636	206	17	at	at	ADP
cana-3636	206	18	different	different	ADJ
cana-3636	206	19	noise	noise	NOUN
cana-3636	206	20	levels	level	NOUN
cana-3636	206	21	by	by	ADP
cana-3636	206	22	utilizing	utilize	VERB
cana-3636	206	23	ensemble	ensemble	ADJ
cana-3636	206	24	learning	learning	NOUN
cana-3636	206	25	approaches	approach	NOUN
cana-3636	206	26	.	.	PUNCT
cana-3636	207	1	these	these	DET
cana-3636	207	2	findings	finding	NOUN
cana-3636	207	3	highlight	highlight	VERB
cana-3636	207	4	how	how	SCONJ
cana-3636	207	5	well	well	ADV
cana-3636	207	6	the	the	DET
cana-3636	207	7	ensemble	ensemble	ADJ
cana-3636	207	8	cnn	cnn	PROPN
cana-3636	207	9	approach	approach	NOUN
cana-3636	207	10	processes	process	VERB
cana-3636	207	11	fecg	fecg	NOUN
cana-3636	207	12	signals	signal	NOUN
cana-3636	207	13	and	and	CCONJ
cana-3636	207	14	provide	provide	VERB
cana-3636	207	15	a	a	DET
cana-3636	207	16	dependable	dependable	ADJ
cana-3636	207	17	means	mean	NOUN
cana-3636	207	18	of	of	ADP
cana-3636	207	19	extracting	extract	VERB
cana-3636	207	20	high	high	ADJ
cana-3636	207	21	-	-	PUNCT
cana-3636	207	22	quality	quality	NOUN
cana-3636	207	23	fetal	fetal	ADJ
cana-3636	207	24	ecgs	ecgs	NOUN
cana-3636	207	25	for	for	ADP
cana-3636	207	26	use	use	NOUN
cana-3636	207	27	in	in	ADP
cana-3636	207	28	biological	biological	ADJ
cana-3636	207	29	applications	application	NOUN
cana-3636	207	30	.	.	PUNCT
cana-3636	208	1	5	5	X
cana-3636	208	2	.	.	X
cana-3636	208	3	conclusions	conclusion	NOUN
cana-3636	208	4	a	a	DET
cana-3636	208	5	reliable	reliable	ADJ
cana-3636	208	6	method	method	NOUN
cana-3636	208	7	for	for	ADP
cana-3636	208	8	fecg	fecg	NOUN
cana-3636	208	9	denoising	denoising	NOUN
cana-3636	208	10	is	be	AUX
cana-3636	208	11	provided	provide	VERB
cana-3636	208	12	by	by	ADP
cana-3636	208	13	the	the	DET
cana-3636	208	14	ensemble	ensemble	ADJ
cana-3636	208	15	cnn	cnn	PROPN
cana-3636	208	16	,	,	PUNCT
cana-3636	208	17	which	which	PRON
cana-3636	208	18	efficiently	efficiently	ADV
cana-3636	208	19	uses	use	VERB
cana-3636	208	20	convolutional	convolutional	ADJ
cana-3636	208	21	layers	layer	NOUN
cana-3636	208	22	to	to	PART
cana-3636	208	23	learn	learn	VERB
cana-3636	208	24	hierarchical	hierarchical	ADJ
cana-3636	208	25	feature	feature	NOUN
cana-3636	208	26	representations	representation	NOUN
cana-3636	208	27	.	.	PUNCT
cana-3636	209	1	the	the	DET
cana-3636	209	2	ensemble	ensemble	ADJ
cana-3636	209	3	cnn	cnn	PROPN
cana-3636	209	4	exhibits	exhibit	VERB
cana-3636	209	5	exceptional	exceptional	ADJ
cana-3636	209	6	adaptability	adaptability	NOUN
cana-3636	209	7	and	and	CCONJ
cana-3636	209	8	generalization	generalization	NOUN
cana-3636	209	9	by	by	ADP
cana-3636	209	10	separating	separate	VERB
cana-3636	209	11	pertinent	pertinent	ADJ
cana-3636	209	12	signal	signal	NOUN
cana-3636	209	13	components	component	NOUN
cana-3636	209	14	from	from	ADP
cana-3636	209	15	noise	noise	NOUN
cana-3636	209	16	at	at	ADP
cana-3636	209	17	different	different	ADJ
cana-3636	209	18	noise	noise	NOUN
cana-3636	209	19	levels	level	NOUN
cana-3636	209	20	,	,	PUNCT
cana-3636	209	21	which	which	PRON
cana-3636	209	22	makes	make	VERB
cana-3636	209	23	it	it	PRON
cana-3636	209	24	ideal	ideal	ADJ
cana-3636	209	25	for	for	ADP
cana-3636	209	26	dynamic	dynamic	ADJ
cana-3636	209	27	real	real	ADJ
cana-3636	209	28	-	-	PUNCT
cana-3636	209	29	world	world	NOUN
cana-3636	209	30	biomedical	biomedical	ADJ
cana-3636	209	31	signal	signal	NOUN
cana-3636	209	32	processing	processing	NOUN
cana-3636	209	33	applications	application	NOUN
cana-3636	209	34	.	.	PUNCT
cana-3636	210	1	it	it	PRON
cana-3636	210	2	is	be	AUX
cana-3636	210	3	clear	clear	ADJ
cana-3636	210	4	from	from	ADP
cana-3636	210	5	the	the	DET
cana-3636	210	6	notable	notable	ADJ
cana-3636	210	7	gains	gain	NOUN
cana-3636	210	8	in	in	ADP
cana-3636	210	9	snro	snro	ADJ
cana-3636	210	10	,	,	PUNCT
cana-3636	210	11	rmse	rmse	NOUN
cana-3636	210	12	,	,	PUNCT
cana-3636	210	13	psnr	psnr	NOUN
cana-3636	210	14	,	,	PUNCT
cana-3636	210	15	and	and	CCONJ
cana-3636	210	16	cc	cc	ADP
cana-3636	210	17	measures	measure	NOUN
cana-3636	210	18	that	that	PRON
cana-3636	210	19	the	the	DET
cana-3636	210	20	model	model	NOUN
cana-3636	210	21	can	can	AUX
cana-3636	210	22	improve	improve	VERB
cana-3636	210	23	signal	signal	ADJ
cana-3636	210	24	quality	quality	NOUN
cana-3636	210	25	in	in	ADP
cana-3636	210	26	a	a	DET
cana-3636	210	27	variety	variety	NOUN
cana-3636	210	28	of	of	ADP
cana-3636	210	29	noise	noise	NOUN
cana-3636	210	30	problems	problem	NOUN
cana-3636	210	31	.	.	PUNCT
cana-3636	211	1	the	the	DET
cana-3636	211	2	range	range	NOUN
cana-3636	211	3	of	of	ADP
cana-3636	211	4	snro	snro	ADJ
cana-3636	211	5	at	at	ADP
cana-3636	211	6	5	5	NUM
cana-3636	211	7	db	db	NOUN
cana-3636	211	8	is	be	AUX
cana-3636	211	9	13.08	13.08	NUM
cana-3636	211	10	to	to	ADP
cana-3636	211	11	13.16	13.16	NUM
cana-3636	211	12	,	,	PUNCT
cana-3636	211	13	the	the	DET
cana-3636	211	14	range	range	NOUN
cana-3636	211	15	of	of	ADP
cana-3636	211	16	rmse	rmse	ADJ
cana-3636	211	17	values	value	NOUN
cana-3636	211	18	is	be	AUX
cana-3636	211	19	0.2425	0.2425	NUM
cana-3636	211	20	to	to	ADP
cana-3636	211	21	0.2447	0.2447	NUM
cana-3636	211	22	,	,	PUNCT
cana-3636	211	23	the	the	DET
cana-3636	211	24	range	range	NOUN
cana-3636	211	25	of	of	ADP
cana-3636	211	26	psnr	psnr	NOUN
cana-3636	211	27	is	be	AUX
cana-3636	211	28	18.29	18.29	NUM
cana-3636	211	29	to	to	ADP
cana-3636	211	30	18.37	18.37	NUM
cana-3636	211	31	,	,	PUNCT
cana-3636	211	32	and	and	CCONJ
cana-3636	211	33	the	the	DET
cana-3636	211	34	range	range	NOUN
cana-3636	211	35	of	of	ADP
cana-3636	211	36	cc	cc	ADP
cana-3636	211	37	values	value	NOUN
cana-3636	211	38	is	be	AUX
cana-3636	211	39	0.9602	0.9602	NUM
cana-3636	211	40	to	to	ADP
cana-3636	211	41	0.9608	0.9608	NUM
cana-3636	211	42	.	.	PUNCT
cana-3636	212	1	snro	snro	PROPN
cana-3636	212	2	improves	improve	VERB
cana-3636	212	3	as	as	ADP
cana-3636	212	4	the	the	DET
cana-3636	212	5	noise	noise	NOUN
cana-3636	212	6	level	level	NOUN
cana-3636	212	7	rises	rise	NOUN
cana-3636	212	8	,	,	PUNCT
cana-3636	212	9	stabilizing	stabilize	VERB
cana-3636	212	10	between	between	ADP
cana-3636	212	11	21.63	21.63	NUM
cana-3636	212	12	and	and	CCONJ
cana-3636	212	13	21.64	21.64	NUM
cana-3636	212	14	at	at	ADP
cana-3636	212	15	20	20	NUM
cana-3636	212	16	,	,	PUNCT
cana-3636	212	17	25	25	NUM
cana-3636	212	18	,	,	PUNCT
cana-3636	212	19	and	and	CCONJ
cana-3636	212	20	30	30	NUM
cana-3636	212	21	db	db	NOUN
cana-3636	212	22	,	,	PUNCT
cana-3636	212	23	and	and	CCONJ
cana-3636	212	24	reaching	reach	VERB
cana-3636	212	25	16.91	16.91	NUM
cana-3636	212	26	to	to	ADP
cana-3636	212	27	17.09	17.09	NUM
cana-3636	212	28	at	at	ADP
cana-3636	212	29	10	10	NUM
cana-3636	212	30	db	db	NOUN
cana-3636	212	31	and	and	CCONJ
cana-3636	212	32	19.91	19.91	NUM
cana-3636	212	33	to	to	ADP
cana-3636	212	34	20.01	20.01	NUM
cana-3636	212	35	at	at	ADP
cana-3636	212	36	15	15	NUM
cana-3636	212	37	db	db	NOUN
cana-3636	212	38	.	.	PUNCT
cana-3636	213	1	the	the	DET
cana-3636	213	2	ensemble	ensemble	ADJ
cana-3636	213	3	cnn	cnn	PROPN
cana-3636	213	4	's	's	PART
cana-3636	213	5	resilience	resilience	NOUN
cana-3636	213	6	in	in	ADP
cana-3636	213	7	fecg	fecg	NOUN
cana-3636	213	8	denoising	denoising	NOUN
cana-3636	213	9	is	be	AUX
cana-3636	213	10	demonstrated	demonstrate	VERB
cana-3636	213	11	by	by	ADP
cana-3636	213	12	the	the	DET
cana-3636	213	13	concurrent	concurrent	ADJ
cana-3636	213	14	decrease	decrease	NOUN
cana-3636	213	15	in	in	ADP
cana-3636	213	16	rmse	rmse	NOUN
cana-3636	213	17	,	,	PUNCT
cana-3636	213	18	increase	increase	VERB
cana-3636	213	19	in	in	ADP
cana-3636	213	20	psnr	psnr	NOUN
cana-3636	213	21	,	,	PUNCT
cana-3636	213	22	and	and	CCONJ
cana-3636	213	23	constant	constant	ADJ
cana-3636	213	24	high	high	ADJ
cana-3636	213	25	cc	cc	NOUN
cana-3636	213	26	.	.	PUNCT
cana-3636	214	1	in	in	ADP
cana-3636	214	2	addition	addition	NOUN
cana-3636	214	3	to	to	ADP
cana-3636	214	4	improving	improve	VERB
cana-3636	214	5	signal	signal	ADJ
cana-3636	214	6	quality	quality	NOUN
cana-3636	214	7	,	,	PUNCT
cana-3636	214	8	this	this	DET
cana-3636	214	9	method	method	NOUN
cana-3636	214	10	has	have	VERB
cana-3636	214	11	great	great	ADJ
cana-3636	214	12	promise	promise	NOUN
cana-3636	214	13	for	for	ADP
cana-3636	214	14	real	real	ADJ
cana-3636	214	15	-	-	PUNCT
cana-3636	214	16	time	time	NOUN
cana-3636	214	17	biomedical	biomedical	ADJ
cana-3636	214	18	applications	application	NOUN
cana-3636	214	19	where	where	SCONJ
cana-3636	214	20	precise	precise	ADJ
cana-3636	214	21	signal	signal	NOUN
cana-3636	214	22	extraction	extraction	NOUN
cana-3636	214	23	is	be	AUX
cana-3636	214	24	essential	essential	ADJ
cana-3636	214	25	for	for	ADP
cana-3636	214	26	trustworthy	trustworthy	ADJ
cana-3636	214	27	monitoring	monitoring	NOUN
cana-3636	214	28	and	and	CCONJ
cana-3636	214	29	diagnosis	diagnosis	NOUN
cana-3636	214	30	.	.	PUNCT
cana-3636	215	1	in	in	ADP
cana-3636	215	2	order	order	NOUN
cana-3636	215	3	to	to	PART
cana-3636	215	4	further	far	ADV
cana-3636	215	5	optimize	optimize	VERB
cana-3636	215	6	denoising	denoising	NOUN
cana-3636	215	7	results	result	NOUN
cana-3636	215	8	,	,	PUNCT
cana-3636	215	9	future	future	ADJ
cana-3636	215	10	research	research	NOUN
cana-3636	215	11	can	can	AUX
cana-3636	215	12	investigate	investigate	VERB
cana-3636	215	13	sophisticated	sophisticated	ADJ
cana-3636	215	14	strategies	strategy	NOUN
cana-3636	215	15	like	like	ADP
cana-3636	215	16	weighted	weight	VERB
cana-3636	215	17	averaging	averaging	NOUN
cana-3636	215	18	,	,	PUNCT
cana-3636	215	19	stacking	stacking	NOUN
cana-3636	215	20	,	,	PUNCT
cana-3636	215	21	or	or	CCONJ
cana-3636	215	22	boosting	boost	VERB
cana-3636	215	23	methods	method	NOUN
cana-3636	215	24	for	for	ADP
cana-3636	215	25	merging	merge	VERB
cana-3636	215	26	predictions	prediction	NOUN
cana-3636	215	27	from	from	ADP
cana-3636	215	28	individual	individual	ADJ
cana-3636	215	29	communications	communication	NOUN
cana-3636	215	30	on	on	ADP
cana-3636	215	31	applied	apply	VERB
cana-3636	215	32	nonlinear	nonlinear	ADJ
cana-3636	215	33	analysis	analysis	NOUN
cana-3636	215	34	issn	issn	NOUN
cana-3636	215	35	:	:	PUNCT
cana-3636	215	36	1074	1074	NUM
cana-3636	215	37	-	-	PUNCT
cana-3636	215	38	133x	133x	NUM
cana-3636	215	39	vol	vol	NOUN
cana-3636	215	40	32	32	NUM
cana-3636	215	41	no	no	NOUN
cana-3636	215	42	.	.	PUNCT
cana-3636	216	1	8s	8s	PROPN
cana-3636	216	2	(	(	PUNCT
cana-3636	216	3	2025	2025	NUM
cana-3636	216	4	)	)	PUNCT
cana-3636	216	5	211	211	NUM
cana-3636	216	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	216	7	cnns	cnn	NOUN
cana-3636	216	8	within	within	ADP
cana-3636	216	9	the	the	DET
cana-3636	216	10	ensemble	ensemble	NOUN
cana-3636	216	11	.	.	PUNCT
cana-3636	217	1	furthermore	furthermore	ADV
cana-3636	217	2	,	,	PUNCT
cana-3636	217	3	dynamic	dynamic	ADJ
cana-3636	217	4	parameter	parameter	NOUN
cana-3636	217	5	adjustments	adjustment	NOUN
cana-3636	217	6	might	might	AUX
cana-3636	217	7	be	be	AUX
cana-3636	217	8	made	make	VERB
cana-3636	217	9	possible	possible	ADJ
cana-3636	217	10	by	by	ADP
cana-3636	217	11	integrating	integrate	VERB
cana-3636	217	12	online	online	ADJ
cana-3636	217	13	learning	learning	NOUN
cana-3636	217	14	techniques	technique	NOUN
cana-3636	217	15	into	into	ADP
cana-3636	217	16	the	the	DET
cana-3636	217	17	ensemble	ensemble	ADJ
cana-3636	217	18	cnn	cnn	PROPN
cana-3636	217	19	framework	framework	NOUN
cana-3636	217	20	.	.	PUNCT
cana-3636	218	1	this	this	PRON
cana-3636	218	2	would	would	AUX
cana-3636	218	3	guarantee	guarantee	VERB
cana-3636	218	4	that	that	SCONJ
cana-3636	218	5	the	the	DET
cana-3636	218	6	model	model	NOUN
cana-3636	218	7	adjusts	adjust	VERB
cana-3636	218	8	to	to	ADP
cana-3636	218	9	changes	change	NOUN
cana-3636	218	10	in	in	ADP
cana-3636	218	11	noise	noise	NOUN
cana-3636	218	12	conditions	condition	NOUN
cana-3636	218	13	in	in	ADP
cana-3636	218	14	real	real	ADJ
cana-3636	218	15	time	time	NOUN
cana-3636	218	16	,	,	PUNCT
cana-3636	218	17	increasing	increase	VERB
cana-3636	218	18	its	its	PRON
cana-3636	218	19	efficacy	efficacy	NOUN
cana-3636	218	20	and	and	CCONJ
cana-3636	218	21	usefulness	usefulness	NOUN
cana-3636	218	22	in	in	ADP
cana-3636	218	23	real	real	ADJ
cana-3636	218	24	-	-	PUNCT
cana-3636	218	25	world	world	NOUN
cana-3636	218	26	scenarios	scenario	NOUN
cana-3636	218	27	.	.	PUNCT
cana-3636	219	1	6	6	X
cana-3636	219	2	.	.	X
cana-3636	219	3	competing	compete	VERB
cana-3636	219	4	interests	interest	NOUN
cana-3636	219	5	the	the	DET
cana-3636	219	6	authors	author	NOUN
cana-3636	219	7	have	have	VERB
cana-3636	219	8	no	no	DET
cana-3636	219	9	conflicts	conflict	NOUN
cana-3636	219	10	of	of	ADP
cana-3636	219	11	interest	interest	NOUN
cana-3636	219	12	to	to	PART
cana-3636	219	13	declare	declare	VERB
cana-3636	219	14	that	that	PRON
cana-3636	219	15	are	be	AUX
cana-3636	219	16	relevant	relevant	ADJ
cana-3636	219	17	to	to	ADP
cana-3636	219	18	the	the	DET
cana-3636	219	19	content	content	NOUN
cana-3636	219	20	of	of	ADP
cana-3636	219	21	this	this	DET
cana-3636	219	22	article	article	NOUN
cana-3636	219	23	.	.	PUNCT
cana-3636	220	1	7	7	X
cana-3636	220	2	.	.	X
cana-3636	220	3	funding	fund	VERB
cana-3636	220	4	the	the	DET
cana-3636	220	5	authors	author	NOUN
cana-3636	220	6	did	do	AUX
cana-3636	220	7	not	not	PART
cana-3636	220	8	receive	receive	VERB
cana-3636	220	9	support	support	NOUN
cana-3636	220	10	from	from	ADP
cana-3636	220	11	any	any	DET
cana-3636	220	12	organization	organization	NOUN
cana-3636	220	13	for	for	ADP
cana-3636	220	14	the	the	DET
cana-3636	220	15	submitted	submit	VERB
cana-3636	220	16	work	work	NOUN
cana-3636	220	17	.	.	PUNCT
cana-3636	221	1	references	reference	NOUN
cana-3636	221	2	[	[	X
cana-3636	221	3	1	1	NUM
cana-3636	221	4	]	]	PUNCT
cana-3636	221	5	symonds	symond	NOUN
cana-3636	221	6	,	,	PUNCT
cana-3636	221	7	e.m	e.m	PROPN
cana-3636	221	8	.	.	PROPN
cana-3636	221	9	,	,	PUNCT
cana-3636	221	10	sahota	sahota	NOUN
cana-3636	221	11	,	,	PUNCT
cana-3636	221	12	d.	d.	PROPN
cana-3636	221	13	,	,	PUNCT
cana-3636	221	14	chang	chang	PROPN
cana-3636	221	15	,	,	PUNCT
cana-3636	221	16	a.	a.	NOUN
cana-3636	221	17	:	:	PUNCT
cana-3636	221	18	fetal	fetal	ADJ
cana-3636	221	19	electrocardiography	electrocardiography	NOUN
cana-3636	221	20	.	.	PUNCT
cana-3636	222	1	world	world	PROPN
cana-3636	222	2	scientific,(2001	scientific,(2001	PROPN
cana-3636	222	3	)	)	PUNCT
cana-3636	223	1	[	[	X
cana-3636	223	2	2	2	NUM
cana-3636	223	3	]	]	PUNCT
cana-3636	223	4	sameni	sameni	NOUN
cana-3636	223	5	,	,	PUNCT
cana-3636	223	6	r.	r.	PROPN
cana-3636	223	7	,	,	PUNCT
cana-3636	223	8	clifford	clifford	PROPN
cana-3636	223	9	,	,	PUNCT
cana-3636	223	10	g.d	g.d	PROPN
cana-3636	223	11	.	.	PROPN
cana-3636	223	12	:	:	PUNCT
cana-3636	223	13	a	a	DET
cana-3636	223	14	review	review	NOUN
cana-3636	223	15	of	of	ADP
cana-3636	223	16	fetal	fetal	ADJ
cana-3636	223	17	ecg	ecg	PROPN
cana-3636	223	18	signal	signal	NOUN
cana-3636	223	19	processing	processing	NOUN
cana-3636	223	20	;	;	PUNCT
cana-3636	223	21	issues	issue	NOUN
cana-3636	223	22	and	and	CCONJ
cana-3636	223	23	promising	promising	ADJ
cana-3636	223	24	directions	direction	NOUN
cana-3636	223	25	.	.	PUNCT
cana-3636	224	1	the	the	DET
cana-3636	224	2	open	open	ADJ
cana-3636	224	3	pacing	pacing	NOUN
cana-3636	224	4	,	,	PUNCT
cana-3636	224	5	electrophysiology	electrophysiology	NOUN
cana-3636	224	6	&	&	CCONJ
cana-3636	224	7	therapy	therapy	NOUN
cana-3636	224	8	journal	journal	PROPN
cana-3636	224	9	3	3	NUM
cana-3636	224	10	,	,	PUNCT
cana-3636	224	11	4–20	4–20	PROPN
cana-3636	224	12	(	(	PUNCT
cana-3636	224	13	2010	2010	NUM
cana-3636	224	14	)	)	PUNCT
cana-3636	225	1	[	[	X
cana-3636	225	2	3	3	NUM
cana-3636	225	3	]	]	X
cana-3636	225	4	adam	adam	PROPN
cana-3636	225	5	,	,	PUNCT
cana-3636	225	6	j.	j.	PROPN
cana-3636	225	7	:	:	PUNCT
cana-3636	225	8	the	the	DET
cana-3636	225	9	future	future	NOUN
cana-3636	225	10	of	of	ADP
cana-3636	225	11	fetal	fetal	ADJ
cana-3636	225	12	monitoring	monitoring	NOUN
cana-3636	225	13	.	.	PUNCT
cana-3636	226	1	reviews	review	NOUN
cana-3636	226	2	in	in	ADP
cana-3636	226	3	obstetrics	obstetric	NOUN
cana-3636	226	4	and	and	CCONJ
cana-3636	226	5	gynecology	gynecology	NOUN
cana-3636	226	6	5(3	5(3	NUM
cana-3636	226	7	-	-	NOUN
cana-3636	226	8	4),132–136(2012	4),132–136(2012	NUM
cana-3636	226	9	)	)	PUNCT
cana-3636	226	10	.	.	PUNCT
cana-3636	227	1	[	[	X
cana-3636	227	2	4	4	NUM
cana-3636	227	3	]	]	X
cana-3636	227	4	webster	webster	PROPN
cana-3636	227	5	,	,	PUNCT
cana-3636	227	6	j.g	j.g	PROPN
cana-3636	227	7	.	.	PROPN
cana-3636	227	8	:	:	PUNCT
cana-3636	227	9	the	the	DET
cana-3636	227	10	physiological	physiological	ADJ
cana-3636	227	11	measurement	measurement	NOUN
cana-3636	227	12	handbook	handbook	NOUN
cana-3636	227	13	.	.	PUNCT
cana-3636	228	1	crc	crc	PROPN
cana-3636	228	2	press	press	PROPN
cana-3636	228	3	,	,	PUNCT
cana-3636	228	4	(	(	PUNCT
cana-3636	228	5	2014	2014	NUM
cana-3636	228	6	)	)	PUNCT
cana-3636	229	1	[	[	X
cana-3636	229	2	5	5	NUM
cana-3636	229	3	]	]	X
cana-3636	229	4	kiranyaz	kiranyaz	NOUN
cana-3636	229	5	,	,	PUNCT
cana-3636	229	6	s.	s.	PROPN
cana-3636	229	7	,	,	PUNCT
cana-3636	229	8	avci	avci	PROPN
cana-3636	229	9	,	,	PUNCT
cana-3636	229	10	o.	o.	NOUN
cana-3636	229	11	,	,	PUNCT
cana-3636	229	12	abdeljaber	abdeljaber	PROPN
cana-3636	229	13	,	,	PUNCT
cana-3636	229	14	o.	o.	PROPN
cana-3636	229	15	,	,	PUNCT
cana-3636	229	16	ince	ince	NOUN
cana-3636	229	17	,	,	PUNCT
cana-3636	229	18	t.	t.	NOUN
cana-3636	229	19	,	,	PUNCT
cana-3636	229	20	gabbouj	gabbouj	NOUN
cana-3636	229	21	,	,	PUNCT
cana-3636	229	22	m.	m.	NOUN
cana-3636	229	23	,	,	PUNCT
cana-3636	229	24	inman	inman	PROPN
cana-3636	229	25	,	,	PUNCT
cana-3636	229	26	d.j	d.j	PROPN
cana-3636	229	27	.	.	PROPN
cana-3636	229	28	:	:	PUNCT
cana-3636	230	1	1d	1d	NUM
cana-3636	230	2	convolutional	convolutional	ADJ
cana-3636	230	3	neural	neural	ADJ
cana-3636	230	4	networks	network	NOUN
cana-3636	230	5	and	and	CCONJ
cana-3636	230	6	applications	application	NOUN
cana-3636	230	7	:	:	PUNCT
cana-3636	230	8	a	a	DET
cana-3636	230	9	survey	survey	NOUN
cana-3636	230	10	.	.	PUNCT
cana-3636	231	1	arxiv	arxiv	PROPN
cana-3636	231	2	preprint	preprint	VERB
cana-3636	231	3	arxiv:1905.03554	arxiv:1905.03554	NOUN
cana-3636	231	4	(	(	PUNCT
cana-3636	231	5	2019	2019	NUM
cana-3636	231	6	)	)	PUNCT
cana-3636	232	1	[	[	X
cana-3636	232	2	6	6	NUM
cana-3636	232	3	]	]	PUNCT
cana-3636	232	4	alpaydin	alpaydin	PROPN
cana-3636	232	5	,	,	PUNCT
cana-3636	232	6	e.	e.	PROPN
cana-3636	232	7	:	:	PUNCT
cana-3636	232	8	introduction	introduction	NOUN
cana-3636	232	9	to	to	ADP
cana-3636	232	10	machine	machine	NOUN
cana-3636	232	11	learning	learning	NOUN
cana-3636	232	12	.	.	PUNCT
cana-3636	233	1	mit	mit	VERB
cana-3636	233	2	press,(2020	press,(2020	NOUN
cana-3636	233	3	)	)	PUNCT
cana-3636	234	1	[	[	X
cana-3636	234	2	7	7	NUM
cana-3636	234	3	]	]	SYM
cana-3636	234	4	lecun	lecun	ADJ
cana-3636	234	5	,	,	PUNCT
cana-3636	234	6	y.	y.	PROPN
cana-3636	234	7	,	,	PUNCT
cana-3636	234	8	bengio	bengio	PROPN
cana-3636	234	9	,	,	PUNCT
cana-3636	234	10	y.	y.	PROPN
cana-3636	234	11	,	,	PUNCT
cana-3636	234	12	hinton	hinton	PROPN
cana-3636	234	13	,	,	PUNCT
cana-3636	234	14	g.	g.	PROPN
cana-3636	234	15	:	:	PUNCT
cana-3636	234	16	deep	deep	ADJ
cana-3636	234	17	learning	learning	NOUN
cana-3636	234	18	.	.	PUNCT
cana-3636	235	1	nature	nature	NOUN
cana-3636	235	2	521(7553	521(7553	NUM
cana-3636	235	3	)	)	PUNCT
cana-3636	235	4	,	,	PUNCT
cana-3636	235	5	436–444	436–444	NUM
cana-3636	235	6	(	(	PUNCT
cana-3636	235	7	2015	2015	NUM
cana-3636	235	8	)	)	PUNCT
cana-3636	236	1	[	[	X
cana-3636	236	2	8	8	NUM
cana-3636	236	3	]	]	X
cana-3636	236	4	kelleher	kelleher	PROPN
cana-3636	236	5	,	,	PUNCT
cana-3636	236	6	j.d	j.d	PROPN
cana-3636	236	7	.	.	PROPN
cana-3636	236	8	:	:	PUNCT
cana-3636	236	9	deep	deep	ADJ
cana-3636	236	10	learning.mit	learning.mit	X
cana-3636	236	11	press,(2019	press,(2019	NOUN
cana-3636	236	12	)	)	PUNCT
cana-3636	237	1	[	[	X
cana-3636	237	2	9	9	NUM
cana-3636	237	3	]	]	X
cana-3636	237	4	learning	learning	NOUN
cana-3636	237	5	,	,	PUNCT
cana-3636	237	6	d.	d.	PROPN
cana-3636	237	7	:	:	PUNCT
cana-3636	237	8	deep	deep	ADJ
cana-3636	237	9	learning	learning	NOUN
cana-3636	237	10	.	.	PUNCT
cana-3636	238	1	high	high	ADJ
cana-3636	238	2	-	-	PUNCT
cana-3636	238	3	dimensional	dimensional	ADJ
cana-3636	238	4	fuzzy	fuzzy	ADJ
cana-3636	238	5	clustering	clustering	NOUN
cana-3636	238	6	(	(	PUNCT
cana-3636	238	7	2020	2020	NUM
cana-3636	238	8	)	)	PUNCT
cana-3636	239	1	[	[	X
cana-3636	239	2	10	10	NUM
cana-3636	239	3	]	]	PUNCT
cana-3636	239	4	dash	dash	NOUN
cana-3636	239	5	,	,	PUNCT
cana-3636	239	6	s.	s.	PROPN
cana-3636	239	7	,	,	PUNCT
cana-3636	239	8	acharya	acharya	PROPN
cana-3636	239	9	,	,	PUNCT
cana-3636	239	10	b.r	b.r	PROPN
cana-3636	239	11	.	.	PROPN
cana-3636	239	12	,	,	PUNCT
cana-3636	239	13	mittal	mittal	PROPN
cana-3636	239	14	,	,	PUNCT
cana-3636	239	15	m.	m.	NOUN
cana-3636	239	16	,	,	PUNCT
cana-3636	239	17	abraham	abraham	PROPN
cana-3636	239	18	,	,	PUNCT
cana-3636	239	19	a.	a.	PROPN
cana-3636	239	20	,	,	PUNCT
cana-3636	239	21	kelemen	keleman	NOUN
cana-3636	239	22	,	,	PUNCT
cana-3636	239	23	a.	a.	NOUN
cana-3636	239	24	:	:	PUNCT
cana-3636	239	25	deep	deep	ADJ
cana-3636	239	26	learning	learning	NOUN
cana-3636	239	27	techniques	technique	NOUN
cana-3636	239	28	for	for	ADP
cana-3636	239	29	biomedical	biomedical	ADJ
cana-3636	239	30	and	and	CCONJ
cana-3636	239	31	health	health	NOUN
cana-3636	239	32	informatics	informatic	NOUN
cana-3636	239	33	.	.	PUNCT
cana-3636	240	1	springer	springer	PROPN
cana-3636	240	2	,	,	PUNCT
cana-3636	240	3	(	(	PUNCT
cana-3636	240	4	2020	2020	NUM
cana-3636	240	5	)	)	PUNCT
cana-3636	241	1	[	[	X
cana-3636	241	2	11	11	NUM
cana-3636	241	3	]	]	PUNCT
cana-3636	241	4	bouvrie	bouvrie	NOUN
cana-3636	241	5	,	,	PUNCT
cana-3636	241	6	j.:notes	j.:note	NOUN
cana-3636	241	7	on	on	ADP
cana-3636	241	8	convolutional	convolutional	ADJ
cana-3636	241	9	neural	neural	ADJ
cana-3636	241	10	networks	network	NOUN
cana-3636	241	11	(	(	PUNCT
cana-3636	241	12	2006	2006	NUM
cana-3636	241	13	)	)	PUNCT
cana-3636	242	1	[	[	X
cana-3636	242	2	12	12	NUM
cana-3636	242	3	]	]	SYM
cana-3636	242	4	wu	wu	PROPN
cana-3636	242	5	,	,	PUNCT
cana-3636	242	6	j.	j.	PROPN
cana-3636	242	7	:	:	PUNCT
cana-3636	242	8	introduction	introduction	NOUN
cana-3636	242	9	to	to	ADP
cana-3636	242	10	convolutional	convolutional	ADJ
cana-3636	242	11	neural	neural	ADJ
cana-3636	242	12	networks	network	NOUN
cana-3636	242	13	.	.	PUNCT
cana-3636	243	1	national	national	ADJ
cana-3636	243	2	key	key	ADJ
cana-3636	243	3	lab	lab	NOUN
cana-3636	243	4	for	for	ADP
cana-3636	243	5	novel	novel	ADJ
cana-3636	243	6	software	software	NOUN
cana-3636	243	7	technology	technology	NOUN
cana-3636	243	8	.	.	PUNCT
cana-3636	244	1	nanjing	nanjing	PROPN
cana-3636	244	2	university	university	PROPN
cana-3636	244	3	.	.	PUNCT
cana-3636	245	1	china	china	PROPN
cana-3636	245	2	5(23	5(23	NUM
cana-3636	245	3	)	)	PUNCT
cana-3636	245	4	,	,	PUNCT
cana-3636	245	5	495	495	NUM
cana-3636	245	6	(	(	PUNCT
cana-3636	245	7	2017	2017	NUM
cana-3636	245	8	)	)	PUNCT
cana-3636	246	1	[	[	X
cana-3636	246	2	13	13	NUM
cana-3636	246	3	]	]	PUNCT
cana-3636	246	4	ganaie	ganaie	NOUN
cana-3636	246	5	,	,	PUNCT
cana-3636	246	6	m.a	m.a	PROPN
cana-3636	246	7	.	.	PROPN
cana-3636	246	8	,	,	PUNCT
cana-3636	246	9	hu	hu	PROPN
cana-3636	246	10	,	,	PUNCT
cana-3636	246	11	m.	m.	NOUN
cana-3636	246	12	,	,	PUNCT
cana-3636	246	13	malik	malik	PROPN
cana-3636	246	14	,	,	PUNCT
cana-3636	246	15	a.k	a.k	PROPN
cana-3636	246	16	.	.	PROPN
cana-3636	246	17	,	,	PUNCT
cana-3636	246	18	tanveer	tanveer	PROPN
cana-3636	246	19	,	,	PUNCT
cana-3636	246	20	m.	m.	NOUN
cana-3636	246	21	,	,	PUNCT
cana-3636	246	22	suganthan	suganthan	PROPN
cana-3636	246	23	,	,	PUNCT
cana-3636	246	24	p.n	p.n	PROPN
cana-3636	246	25	.	.	PROPN
cana-3636	246	26	:	:	PUNCT
cana-3636	246	27	ensemble	ensemble	ADJ
cana-3636	246	28	deeplearning	deeplearning	NOUN
cana-3636	246	29	:	:	PUNCT
cana-3636	246	30	areview.engineering	areview.engineere	VERB
cana-3636	246	31	applications	application	NOUN
cana-3636	246	32	of	of	ADP
cana-3636	246	33	artificial	artificial	ADJ
cana-3636	246	34	intelligence	intelligence	NOUN
cana-3636	246	35	115	115	NUM
cana-3636	246	36	,	,	PUNCT
cana-3636	246	37	105151	105151	NUM
cana-3636	246	38	(	(	PUNCT
cana-3636	246	39	2022	2022	NUM
cana-3636	246	40	)	)	PUNCT
cana-3636	247	1	[	[	X
cana-3636	247	2	14	14	NUM
cana-3636	247	3	]	]	PUNCT
cana-3636	247	4	müller	müller	NOUN
cana-3636	247	5	,	,	PUNCT
cana-3636	247	6	d.	d.	PROPN
cana-3636	247	7	,	,	PUNCT
cana-3636	247	8	soto	soto	PROPN
cana-3636	247	9	-	-	PUNCT
cana-3636	247	10	rey	rey	PROPN
cana-3636	247	11	,	,	PUNCT
cana-3636	247	12	i.	i.	PROPN
cana-3636	247	13	,	,	PUNCT
cana-3636	247	14	kramer	kramer	PROPN
cana-3636	247	15	,	,	PUNCT
cana-3636	247	16	f.	f.	PROPN
cana-3636	247	17	:	:	PUNCT
cana-3636	247	18	an	an	DET
cana-3636	247	19	analysis	analysis	NOUN
cana-3636	247	20	on	on	ADP
cana-3636	247	21	ensemble	ensemble	ADJ
cana-3636	247	22	learning	learning	NOUN
cana-3636	247	23	optimized	optimize	VERB
cana-3636	247	24	medical	medical	ADJ
cana-3636	247	25	image	image	NOUN
cana-3636	247	26	classification	classification	NOUN
cana-3636	247	27	with	with	ADP
cana-3636	247	28	deep	deep	ADJ
cana-3636	247	29	convolutional	convolutional	ADJ
cana-3636	247	30	neural	neural	ADJ
cana-3636	247	31	networks.ieee	networks.ieee	NOUN
cana-3636	247	32	access	access	NOUN
cana-3636	247	33	10	10	NUM
cana-3636	247	34	,	,	PUNCT
cana-3636	247	35	66467–66480	66467–66480	NUM
cana-3636	247	36	(	(	PUNCT
cana-3636	247	37	2022	2022	NUM
cana-3636	247	38	)	)	PUNCT
cana-3636	248	1	[	[	X
cana-3636	248	2	15	15	NUM
cana-3636	248	3	]	]	X
cana-3636	248	4	bhati	bhati	NOUN
cana-3636	248	5	,	,	PUNCT
cana-3636	248	6	b.s	b.s	PROPN
cana-3636	248	7	.	.	PROPN
cana-3636	248	8	,	,	PUNCT
cana-3636	248	9	shankar	shankar	PROPN
cana-3636	248	10	,	,	PUNCT
cana-3636	248	11	a.	a.	PROPN
cana-3636	248	12	,	,	PUNCT
cana-3636	248	13	saxena	saxena	PROPN
cana-3636	248	14	,	,	PUNCT
cana-3636	248	15	s.	s.	PROPN
cana-3636	248	16	,	,	PUNCT
cana-3636	248	17	saxena	saxena	PROPN
cana-3636	248	18	,	,	PUNCT
cana-3636	248	19	t.	t.	PROPN
cana-3636	248	20	,	,	PUNCT
cana-3636	248	21	anbarasi	anbarasi	NOUN
cana-3636	248	22	,	,	PUNCT
cana-3636	248	23	m.	m.	NOUN
cana-3636	248	24	,	,	PUNCT
cana-3636	248	25	kumar	kumar	PROPN
cana-3636	248	26	,	,	PUNCT
cana-3636	248	27	m.	m.	NOUN
cana-3636	248	28	:	:	PUNCT
cana-3636	248	29	an	an	DET
cana-3636	248	30	ensemble	ensemble	ADJ
cana-3636	248	31	-	-	PUNCT
cana-3636	248	32	based	base	VERB
cana-3636	248	33	approach	approach	NOUN
cana-3636	248	34	for	for	ADP
cana-3636	248	35	image	image	NOUN
cana-3636	248	36	classification	classification	NOUN
cana-3636	248	37	using	use	VERB
cana-3636	248	38	voting	voting	NOUN
cana-3636	248	39	classifier	classifier	NOUN
cana-3636	248	40	.	.	PUNCT
cana-3636	249	1	international	international	ADJ
cana-3636	249	2	journal	journal	NOUN
cana-3636	249	3	of	of	ADP
cana-3636	249	4	modelling	modelling	NOUN
cana-3636	249	5	,	,	PUNCT
cana-3636	249	6	identification	identification	NOUN
cana-3636	249	7	and	and	CCONJ
cana-3636	249	8	control	control	NOUN
cana-3636	249	9	41(1	41(1	NOUN
cana-3636	249	10	-	-	PUNCT
cana-3636	249	11	2	2	NUM
cana-3636	249	12	)	)	PUNCT
cana-3636	249	13	,	,	PUNCT
cana-3636	249	14	87–97	87–97	NUM
cana-3636	249	15	(	(	PUNCT
cana-3636	249	16	2022	2022	NUM
cana-3636	249	17	)	)	PUNCT
cana-3636	250	1	[	[	X
cana-3636	250	2	16	16	NUM
cana-3636	250	3	]	]	PUNCT
cana-3636	250	4	mohammed	mohammed	PROPN
cana-3636	250	5	,	,	PUNCT
cana-3636	250	6	a.	a.	PROPN
cana-3636	250	7	,	,	PUNCT
cana-3636	250	8	kora	kora	PROPN
cana-3636	250	9	,	,	PUNCT
cana-3636	250	10	r.	r.	PROPN
cana-3636	250	11	:	:	PUNCT
cana-3636	250	12	a	a	DET
cana-3636	250	13	comprehensive	comprehensive	ADJ
cana-3636	250	14	review	review	NOUN
cana-3636	250	15	on	on	ADP
cana-3636	250	16	ensemble	ensemble	ADJ
cana-3636	250	17	deep	deep	ADJ
cana-3636	250	18	learning	learning	NOUN
cana-3636	250	19	:	:	PUNCT
cana-3636	250	20	opportunities	opportunity	NOUN
cana-3636	250	21	and	and	CCONJ
cana-3636	250	22	challenges	challenge	NOUN
cana-3636	250	23	.	.	PUNCT
cana-3636	251	1	journal	journal	NOUN
cana-3636	251	2	of	of	ADP
cana-3636	251	3	king	king	PROPN
cana-3636	251	4	saud	saud	PROPN
cana-3636	251	5	university	university	PROPN
cana-3636	251	6	-	-	PUNCT
cana-3636	251	7	computer	computer	NOUN
cana-3636	251	8	and	and	CCONJ
cana-3636	251	9	information	information	NOUN
cana-3636	251	10	sciences	sciences	PROPN
cana-3636	251	11	35(2	35(2	NUM
cana-3636	251	12	)	)	PUNCT
cana-3636	251	13	,	,	PUNCT
cana-3636	251	14	757–774	757–774	NUM
cana-3636	251	15	(	(	PUNCT
cana-3636	251	16	2023	2023	NUM
cana-3636	251	17	)	)	PUNCT
cana-3636	252	1	[	[	X
cana-3636	252	2	17	17	NUM
cana-3636	252	3	]	]	X
cana-3636	252	4	martinek	martinek	ADJ
cana-3636	252	5	,	,	PUNCT
cana-3636	252	6	r.	r.	PROPN
cana-3636	252	7	,kahankova	,kahankova	PROPN
cana-3636	252	8	,	,	PUNCT
cana-3636	252	9	r.	r.	PROPN
cana-3636	252	10	,jezewski	,jezewski	PROPN
cana-3636	252	11	,	,	PUNCT
cana-3636	252	12	j.	j.	PROPN
cana-3636	252	13	,jaros	,jaros	PROPN
cana-3636	252	14	,	,	PUNCT
cana-3636	252	15	r.	r.	PROPN
cana-3636	252	16	,mohylova	,mohylova	PROPN
cana-3636	252	17	,	,	PUNCT
cana-3636	252	18	j.	j.	PROPN
cana-3636	252	19	,fajkus	,fajkus	PROPN
cana-3636	252	20	,	,	PUNCT
cana-3636	252	21	m.	m.	NOUN
cana-3636	252	22	,nedoma	,nedoma	PUNCT
cana-3636	252	23	,	,	PUNCT
cana-3636	252	24	j.	j.	PROPN
cana-3636	252	25	,janku	,janku	PROPN
cana-3636	252	26	,	,	PUNCT
cana-3636	252	27	p.	p.	NOUN
cana-3636	252	28	,nazeran	,nazeran	PUNCT
cana-3636	252	29	,	,	PUNCT
cana-3636	252	30	h.	h.	NOUN
cana-3636	252	31	:	:	PUNCT
cana-3636	252	32	comparative	comparative	ADJ
cana-3636	252	33	effectiveness	effectiveness	NOUN
cana-3636	252	34	of	of	ADP
cana-3636	252	35	ica	ica	PROPN
cana-3636	252	36	and	and	CCONJ
cana-3636	252	37	pca	pca	PROPN
cana-3636	252	38	in	in	ADP
cana-3636	252	39	extraction	extraction	NOUN
cana-3636	252	40	of	of	ADP
cana-3636	252	41	fetal	fetal	ADJ
cana-3636	252	42	ecg	ecg	PROPN
cana-3636	252	43	from	from	ADP
cana-3636	252	44	abdominal	abdominal	ADJ
cana-3636	252	45	signals	signal	NOUN
cana-3636	252	46	:	:	PUNCT
cana-3636	252	47	toward	toward	ADP
cana-3636	252	48	non	non	ADJ
cana-3636	252	49	invasive	invasive	ADJ
cana-3636	252	50	fetal	fetal	ADJ
cana-3636	252	51	monitoring	monitoring	NOUN
cana-3636	252	52	.	.	PUNCT
cana-3636	253	1	frontiers	frontier	NOUN
cana-3636	253	2	in	in	ADP
cana-3636	253	3	physiology	physiology	NOUN
cana-3636	253	4	9	9	NUM
cana-3636	253	5	,	,	PUNCT
cana-3636	253	6	648	648	NUM
cana-3636	253	7	(	(	PUNCT
cana-3636	253	8	2018	2018	NUM
cana-3636	253	9	)	)	PUNCT
cana-3636	254	1	[	[	X
cana-3636	254	2	18	18	NUM
cana-3636	254	3	]	]	X
cana-3636	254	4	jaros	jaro	NOUN
cana-3636	254	5	,	,	PUNCT
cana-3636	254	6	r.	r.	PROPN
cana-3636	254	7	,	,	PUNCT
cana-3636	254	8	martinek	martinek	ADJ
cana-3636	254	9	,	,	PUNCT
cana-3636	254	10	r.	r.	PROPN
cana-3636	254	11	,	,	PUNCT
cana-3636	254	12	kahankova	kahankova	PROPN
cana-3636	254	13	,	,	PUNCT
cana-3636	254	14	r.	r.	PROPN
cana-3636	254	15	:	:	PUNCT
cana-3636	254	16	non	non	ADJ
cana-3636	254	17	-	-	ADJ
cana-3636	254	18	adaptive	adaptive	ADJ
cana-3636	254	19	methods	method	NOUN
cana-3636	254	20	for	for	ADP
cana-3636	254	21	fetal	fetal	ADJ
cana-3636	254	22	ecg	ecg	PROPN
cana-3636	254	23	signal	signal	NOUN
cana-3636	254	24	processing	processing	NOUN
cana-3636	254	25	:	:	PUNCT
cana-3636	254	26	a	a	DET
cana-3636	254	27	review	review	NOUN
cana-3636	254	28	and	and	CCONJ
cana-3636	254	29	appraisal	appraisal	NOUN
cana-3636	254	30	.	.	PUNCT
cana-3636	255	1	sensors	sensor	NOUN
cana-3636	255	2	18(11	18(11	NUM
cana-3636	255	3	)	)	PUNCT
cana-3636	255	4	,	,	PUNCT
cana-3636	255	5	3648	3648	NUM
cana-3636	255	6	(	(	PUNCT
cana-3636	255	7	2018	2018	NUM
cana-3636	255	8	)	)	PUNCT
cana-3636	256	1	[	[	X
cana-3636	256	2	19	19	NUM
cana-3636	256	3	]	]	X
cana-3636	256	4	sejdic	sejdic	PROPN
cana-3636	256	5	,	,	PUNCT
cana-3636	256	6	e.	e.	PROPN
cana-3636	256	7	,	,	PUNCT
cana-3636	256	8	falk	falk	NOUN
cana-3636	256	9	,	,	PUNCT
cana-3636	256	10	t.h	t.h	PROPN
cana-3636	256	11	.	.	PROPN
cana-3636	256	12	:	:	PUNCT
cana-3636	256	13	signal	signal	VERB
cana-3636	256	14	processing	processing	NOUN
cana-3636	256	15	and	and	CCONJ
cana-3636	256	16	machine	machine	NOUN
cana-3636	256	17	learning	learning	NOUN
cana-3636	256	18	for	for	ADP
cana-3636	256	19	biomedical	biomedical	ADJ
cana-3636	256	20	big	big	ADJ
cana-3636	256	21	data	datum	NOUN
cana-3636	256	22	.	.	PUNCT
cana-3636	257	1	crc	crc	PROPN
cana-3636	257	2	press	press	PROPN
cana-3636	257	3	,	,	PUNCT
cana-3636	257	4	(	(	PUNCT
cana-3636	257	5	2018	2018	NUM
cana-3636	257	6	)	)	PUNCT
cana-3636	258	1	[	[	X
cana-3636	258	2	20	20	NUM
cana-3636	258	3	]	]	SYM
cana-3636	258	4	patel	patel	PROPN
cana-3636	258	5	,	,	PUNCT
cana-3636	258	6	v.	v.	PROPN
cana-3636	258	7	,	,	PUNCT
cana-3636	258	8	shah	shah	NOUN
cana-3636	258	9	,	,	PUNCT
cana-3636	258	10	a.k	a.k	PROPN
cana-3636	258	11	.	.	PROPN
cana-3636	258	12	:	:	PUNCT
cana-3636	259	1	machine	machine	NOUN
cana-3636	259	2	learning	learn	VERB
cana-3636	259	3	for	for	ADP
cana-3636	259	4	biomedical	biomedical	ADJ
cana-3636	259	5	signal	signal	NOUN
cana-3636	259	6	processing	processing	NOUN
cana-3636	259	7	.	.	PUNCT
cana-3636	260	1	in	in	ADP
cana-3636	260	2	:	:	PUNCT
cana-3636	260	3	machine	machine	NOUN
cana-3636	260	4	learning	learning	NOUN
cana-3636	260	5	and	and	CCONJ
cana-3636	260	6	the	the	DET
cana-3636	260	7	internet	internet	NOUN
cana-3636	260	8	of	of	ADP
cana-3636	260	9	medical	medical	ADJ
cana-3636	260	10	things	thing	NOUN
cana-3636	260	11	in	in	ADP
cana-3636	260	12	healthcare	healthcare	PROPN
cana-3636	260	13	,	,	PUNCT
cana-3636	260	14	pp	pp	ADP
cana-3636	260	15	.	.	PUNCT
cana-3636	261	1	47–66	47–66	NOUN
cana-3636	261	2	.	.	PUNCT
cana-3636	262	1	elsevier	elsevier	NOUN
cana-3636	262	2	,	,	PUNCT
cana-3636	262	3	(	(	PUNCT
cana-3636	262	4	2021	2021	NUM
cana-3636	262	5	)	)	PUNCT
cana-3636	263	1	[	[	X
cana-3636	263	2	21	21	NUM
cana-3636	263	3	]	]	X
cana-3636	263	4	shukla	shukla	NOUN
cana-3636	263	5	,	,	PUNCT
cana-3636	263	6	a.	a.	NOUN
cana-3636	263	7	,	,	PUNCT
cana-3636	263	8	tiwari	tiwari	PROPN
cana-3636	263	9	,	,	PUNCT
cana-3636	263	10	r.	r.	PROPN
cana-3636	263	11	,	,	PUNCT
cana-3636	263	12	kala	kala	PROPN
cana-3636	263	13	,	,	PUNCT
cana-3636	263	14	r.	r.	PROPN
cana-3636	263	15	:	:	PUNCT
cana-3636	263	16	towards	towards	ADP
cana-3636	263	17	hybrid	hybrid	NOUN
cana-3636	263	18	and	and	CCONJ
cana-3636	263	19	adaptive	adaptive	ADJ
cana-3636	263	20	computing	computing	NOUN
cana-3636	263	21	:	:	PUNCT
cana-3636	263	22	a	a	DET
cana-3636	263	23	perspective	perspective	NOUN
cana-3636	263	24	vol	vol	NOUN
cana-3636	263	25	.	.	PUNCT
cana-3636	264	1	307	307	NUM
cana-3636	264	2	.	.	PUNCT
cana-3636	264	3	springer	springer	NOUN
cana-3636	264	4	,	,	PUNCT
cana-3636	264	5	(	(	PUNCT
cana-3636	264	6	2010	2010	NUM
cana-3636	264	7	)	)	PUNCT
cana-3636	265	1	[	[	X
cana-3636	265	2	22	22	NUM
cana-3636	265	3	]	]	X
cana-3636	265	4	shihabudheen	shihabudheen	PROPN
cana-3636	265	5	,	,	PUNCT
cana-3636	265	6	k.	k.	PROPN
cana-3636	265	7	,	,	PUNCT
cana-3636	265	8	pillai	pillai	PROPN
cana-3636	265	9	,	,	PUNCT
cana-3636	265	10	g.n	g.n	PROPN
cana-3636	265	11	.	.	PUNCT
cana-3636	265	12	:	:	PUNCT
cana-3636	266	1	recent	recent	ADJ
cana-3636	266	2	advances	advance	NOUN
cana-3636	266	3	in	in	ADP
cana-3636	266	4	neuro	neuro	NOUN
cana-3636	266	5	-	-	PUNCT
cana-3636	266	6	fuzzy	fuzzy	ADJ
cana-3636	266	7	system	system	NOUN
cana-3636	266	8	:	:	PUNCT
cana-3636	266	9	asurvey	asurvey	NOUN
cana-3636	266	10	.	.	PUNCT
cana-3636	267	1	knowledge	knowledge	NOUN
cana-3636	267	2	-	-	PUNCT
cana-3636	267	3	based	base	VERB
cana-3636	267	4	systems	system	NOUN
cana-3636	267	5	152	152	NUM
cana-3636	267	6	,	,	PUNCT
cana-3636	267	7	136–162	136–162	NUM
cana-3636	267	8	(	(	PUNCT
cana-3636	267	9	2018	2018	NUM
cana-3636	267	10	)	)	PUNCT
cana-3636	268	1	[	[	X
cana-3636	268	2	23	23	NUM
cana-3636	268	3	]	]	X
cana-3636	268	4	zgurovsky	zgurovsky	PROPN
cana-3636	268	5	,	,	PUNCT
cana-3636	268	6	m.z	m.z	PROPN
cana-3636	268	7	.	.	PROPN
cana-3636	268	8	,	,	PUNCT
cana-3636	268	9	sineglazov	sineglazov	PROPN
cana-3636	268	10	,	,	PUNCT
cana-3636	268	11	v.m	v.m	PROPN
cana-3636	268	12	.	.	PROPN
cana-3636	268	13	,	,	PUNCT
cana-3636	268	14	olena	olena	PROPN
cana-3636	268	15	,	,	PUNCT
cana-3636	268	16	i.c	i.c	PROPN
cana-3636	268	17	.	.	PROPN
cana-3636	268	18	:	:	PUNCT
cana-3636	268	19	artificial	artificial	ADJ
cana-3636	268	20	intelligence	intelligence	NOUN
cana-3636	268	21	systems	system	NOUN
cana-3636	268	22	based	base	VERB
cana-3636	268	23	on	on	ADP
cana-3636	268	24	hybrid	hybrid	ADJ
cana-3636	268	25	neural	neural	ADJ
cana-3636	268	26	communications	communication	NOUN
cana-3636	268	27	on	on	ADP
cana-3636	268	28	applied	apply	VERB
cana-3636	268	29	nonlinear	nonlinear	ADJ
cana-3636	268	30	analysis	analysis	NOUN
cana-3636	268	31	issn	issn	NOUN
cana-3636	268	32	:	:	PUNCT
cana-3636	268	33	1074	1074	NUM
cana-3636	268	34	-	-	PUNCT
cana-3636	268	35	133x	133x	NUM
cana-3636	268	36	vol	vol	NOUN
cana-3636	268	37	32	32	NUM
cana-3636	268	38	no	no	NOUN
cana-3636	268	39	.	.	PUNCT
cana-3636	269	1	8s	8s	PROPN
cana-3636	269	2	(	(	PUNCT
cana-3636	269	3	2025	2025	NUM
cana-3636	269	4	)	)	PUNCT
cana-3636	269	5	212	212	NUM
cana-3636	269	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	269	7	networks	network	NOUN
cana-3636	269	8	vol	vol	NOUN
cana-3636	269	9	.	.	PUNCT
cana-3636	270	1	390	390	NUM
cana-3636	270	2	.	.	PUNCT
cana-3636	270	3	springer	springer	NOUN
cana-3636	270	4	,	,	PUNCT
cana-3636	270	5	(	(	PUNCT
cana-3636	270	6	2020	2020	NUM
cana-3636	270	7	)	)	PUNCT
cana-3636	270	8	.	.	PUNCT
cana-3636	271	1	[	[	X
cana-3636	271	2	24	24	NUM
cana-3636	271	3	]	]	PUNCT
cana-3636	271	4	nobrega	nobrega	PROPN
cana-3636	271	5	,	,	PUNCT
cana-3636	271	6	j.p	j.p	PROPN
cana-3636	271	7	.	.	PROPN
cana-3636	271	8	,oliveira	,oliveira	PROPN
cana-3636	271	9	,	,	PUNCT
cana-3636	271	10	a.l.:a	a.l.:a	DET
cana-3636	271	11	sequential	sequential	ADJ
cana-3636	271	12	learning	learning	NOUN
cana-3636	271	13	method	method	NOUN
cana-3636	271	14	with	with	ADP
cana-3636	271	15	kalman	kalman	PROPN
cana-3636	271	16	filter	filter	PROPN
cana-3636	271	17	and	and	CCONJ
cana-3636	271	18	extreme	extreme	ADJ
cana-3636	271	19	learning	learning	NOUN
cana-3636	271	20	machine	machine	NOUN
cana-3636	271	21	for	for	ADP
cana-3636	271	22	regression	regression	NOUN
cana-3636	271	23	and	and	CCONJ
cana-3636	271	24	time	time	NOUN
cana-3636	271	25	series	series	PROPN
cana-3636	271	26	forecasting	forecasting	PROPN
cana-3636	271	27	.	.	PUNCT
cana-3636	272	1	neurocomputing	neurocompute	VERB
cana-3636	272	2	337	337	NUM
cana-3636	272	3	,	,	PUNCT
cana-3636	272	4	235–250	235–250	NUM
cana-3636	272	5	(	(	PUNCT
cana-3636	272	6	2019	2019	NUM
cana-3636	272	7	)	)	PUNCT
cana-3636	273	1	[	[	X
cana-3636	273	2	25	25	NUM
cana-3636	273	3	]	]	PUNCT
cana-3636	273	4	matonia	matonia	PROPN
cana-3636	273	5	,	,	PUNCT
cana-3636	273	6	a.	a.	PROPN
cana-3636	273	7	,	,	PUNCT
cana-3636	273	8	jezewski	jezewski	PROPN
cana-3636	273	9	,	,	PUNCT
cana-3636	273	10	j.	j.	PROPN
cana-3636	273	11	,	,	PUNCT
cana-3636	273	12	horoba	horoba	PROPN
cana-3636	273	13	,	,	PUNCT
cana-3636	273	14	k.	k.	PROPN
cana-3636	273	15	,	,	PUNCT
cana-3636	273	16	gacek	gacek	PROPN
cana-3636	273	17	,	,	PUNCT
cana-3636	273	18	a.	a.	NOUN
cana-3636	273	19	,	,	PUNCT
cana-3636	273	20	labaj	labaj	NOUN
cana-3636	273	21	,	,	PUNCT
cana-3636	273	22	p.	p.	NOUN
cana-3636	273	23	:	:	PUNCT
cana-3636	274	1	the	the	DET
cana-3636	274	2	maternal	maternal	ADJ
cana-3636	274	3	ecg	ecg	PROPN
cana-3636	274	4	suppression	suppression	NOUN
cana-3636	274	5	algorithm	algorithm	NOUN
cana-3636	274	6	for	for	ADP
cana-3636	274	7	efficient	efficient	ADJ
cana-3636	274	8	extraction	extraction	NOUN
cana-3636	274	9	of	of	ADP
cana-3636	274	10	the	the	DET
cana-3636	274	11	fetal	fetal	ADJ
cana-3636	274	12	ecg	ecg	PROPN
cana-3636	274	13	from	from	ADP
cana-3636	274	14	abdominal	abdominal	ADJ
cana-3636	274	15	signal	signal	NOUN
cana-3636	274	16	.	.	PUNCT
cana-3636	275	1	in	in	ADP
cana-3636	275	2	:	:	PUNCT
cana-3636	275	3	2006	2006	NUM
cana-3636	275	4	international	international	ADJ
cana-3636	275	5	conference	conference	NOUN
cana-3636	275	6	of	of	ADP
cana-3636	275	7	the	the	DET
cana-3636	275	8	ieee	ieee	NOUN
cana-3636	275	9	engineering	engineering	NOUN
cana-3636	275	10	in	in	ADP
cana-3636	275	11	medicine	medicine	NOUN
cana-3636	275	12	and	and	CCONJ
cana-3636	275	13	biology	biology	NOUN
cana-3636	275	14	society	society	NOUN
cana-3636	275	15	,	,	PUNCT
cana-3636	275	16	pp	pp	ADV
cana-3636	275	17	.	.	PUNCT
cana-3636	276	1	3106–3109	3106–3109	NUM
cana-3636	276	2	(	(	PUNCT
cana-3636	276	3	2006	2006	NUM
cana-3636	276	4	)	)	PUNCT
cana-3636	276	5	.	.	PUNCT
cana-3636	277	1	ieee	ieee	NOUN
cana-3636	277	2	[	[	X
cana-3636	277	3	26	26	NUM
cana-3636	277	4	]	]	X
cana-3636	277	5	fotiadou	fotiadou	NOUN
cana-3636	277	6	,	,	PUNCT
cana-3636	277	7	e.	e.	PROPN
cana-3636	277	8	,	,	PUNCT
cana-3636	277	9	vullings	vullings	PROPN
cana-3636	277	10	,	,	PUNCT
cana-3636	277	11	r.	r.	PROPN
cana-3636	277	12	:	:	PUNCT
cana-3636	277	13	multi	multi	ADJ
cana-3636	277	14	-	-	ADJ
cana-3636	277	15	channel	channel	ADJ
cana-3636	277	16	fetal	fetal	ADJ
cana-3636	277	17	ecg	ecg	PROPN
cana-3636	277	18	denoising	denoising	NOUN
cana-3636	277	19	with	with	ADP
cana-3636	277	20	deep	deep	ADJ
cana-3636	277	21	convolutional	convolutional	ADJ
cana-3636	277	22	neural	neural	ADJ
cana-3636	277	23	networks	network	NOUN
cana-3636	277	24	.	.	PUNCT
cana-3636	278	1	frontiers	frontier	NOUN
cana-3636	278	2	in	in	ADP
cana-3636	278	3	pediatrics	pediatric	NOUN
cana-3636	278	4	8	8	NUM
cana-3636	278	5	,	,	PUNCT
cana-3636	278	6	508	508	NUM
cana-3636	278	7	(	(	PUNCT
cana-3636	278	8	2020	2020	NUM
cana-3636	278	9	)	)	PUNCT
cana-3636	279	1	[	[	X
cana-3636	279	2	27	27	NUM
cana-3636	279	3	]	]	X
cana-3636	279	4	ning	ning	NOUN
cana-3636	279	5	,	,	PUNCT
cana-3636	279	6	x.	x.	PROPN
cana-3636	279	7	,	,	PUNCT
cana-3636	279	8	selesnick	selesnick	PROPN
cana-3636	279	9	,	,	PUNCT
cana-3636	279	10	i.w	i.w	PROPN
cana-3636	279	11	.	.	PROPN
cana-3636	279	12	:	:	PUNCT
cana-3636	280	1	ecg	ecg	PROPN
cana-3636	280	2	enhancement	enhancement	NOUN
cana-3636	280	3	and	and	CCONJ
cana-3636	280	4	qrs	qrs	NOUN
cana-3636	280	5	detection	detection	NOUN
cana-3636	280	6	based	base	VERB
cana-3636	280	7	on	on	ADP
cana-3636	280	8	sparse	sparse	ADJ
cana-3636	280	9	derivatives	derivative	NOUN
cana-3636	280	10	.	.	PUNCT
cana-3636	281	1	biomedical	biomedical	ADJ
cana-3636	281	2	signal	signal	NOUN
cana-3636	281	3	processing	processing	NOUN
cana-3636	281	4	and	and	CCONJ
cana-3636	281	5	control	control	NOUN
cana-3636	281	6	8	8	NUM
cana-3636	281	7	(	(	PUNCT
cana-3636	281	8	6	6	NUM
cana-3636	281	9	)	)	PUNCT
cana-3636	281	10	,	,	PUNCT
cana-3636	281	11	713–723	713–723	NUM
cana-3636	281	12	(	(	PUNCT
cana-3636	281	13	2013	2013	NUM
cana-3636	281	14	)	)	PUNCT
cana-3636	282	1	[	[	X
cana-3636	282	2	28	28	NUM
cana-3636	282	3	]	]	X
cana-3636	282	4	yadav	yadav	PROPN
cana-3636	282	5	,	,	PUNCT
cana-3636	282	6	o.p	o.p	PROPN
cana-3636	282	7	.	.	PROPN
cana-3636	282	8	,	,	PUNCT
cana-3636	282	9	ray	ray	PROPN
cana-3636	282	10	,	,	PUNCT
cana-3636	282	11	s.	s.	PROPN
cana-3636	282	12	:	:	PUNCT
cana-3636	282	13	total	total	ADJ
cana-3636	282	14	variational	variational	ADJ
cana-3636	282	15	denoising	denoising	NOUN
cana-3636	282	16	of	of	ADP
cana-3636	282	17	ecg	ecg	PROPN
cana-3636	282	18	signals	signal	NOUN
cana-3636	282	19	using	use	VERB
cana-3636	282	20	majorizationminorization	majorizationminorization	NOUN
cana-3636	282	21	technique	technique	NOUN
cana-3636	282	22	.	.	PUNCT
cana-3636	283	1	in	in	ADP
cana-3636	283	2	:	:	PUNCT
cana-3636	283	3	indian	indian	ADJ
cana-3636	283	4	control	control	PROPN
cana-3636	283	5	conference	conference	PROPN
cana-3636	283	6	.	.	PUNCT
cana-3636	284	1	iit	iit	PROPN
cana-3636	284	2	madras	madras	PROPN
cana-3636	284	3	,	,	PUNCT
cana-3636	284	4	chennai	chennai	PROPN
cana-3636	284	5	,	,	PUNCT
cana-3636	284	6	pp	pp	ADJ
cana-3636	284	7	.	.	PUNCT
cana-3636	285	1	165–169	165–169	NUM
cana-3636	285	2	(	(	PUNCT
cana-3636	285	3	2015	2015	NUM
cana-3636	285	4	)	)	PUNCT
cana-3636	286	1	[	[	X
cana-3636	286	2	29	29	NUM
cana-3636	286	3	]	]	X
cana-3636	286	4	akhbari	akhbari	NOUN
cana-3636	286	5	,	,	PUNCT
cana-3636	286	6	m.	m.	NOUN
cana-3636	286	7	,	,	PUNCT
cana-3636	286	8	niknazar	niknazar	NOUN
cana-3636	286	9	,	,	PUNCT
cana-3636	286	10	m.	m.	NOUN
cana-3636	286	11	,	,	PUNCT
cana-3636	286	12	jutten	jutten	PROPN
cana-3636	286	13	,	,	PUNCT
cana-3636	286	14	c.	c.	PROPN
cana-3636	286	15	,	,	PUNCT
cana-3636	286	16	shamsollahi	shamsollahi	PROPN
cana-3636	286	17	,	,	PUNCT
cana-3636	286	18	m.b	m.b	PROPN
cana-3636	286	19	.	.	PROPN
cana-3636	286	20	,	,	PUNCT
cana-3636	286	21	rivet	rivet	PROPN
cana-3636	286	22	,	,	PUNCT
cana-3636	286	23	b.	b.	PROPN
cana-3636	286	24	:	:	PUNCT
cana-3636	286	25	fetal	fetal	ADJ
cana-3636	286	26	electrocardiogram	electrocardiogram	NOUN
cana-3636	286	27	r	r	NOUN
cana-3636	286	28	-	-	PUNCT
cana-3636	286	29	peak	peak	NOUN
cana-3636	286	30	detection	detection	NOUN
cana-3636	286	31	using	use	VERB
cana-3636	286	32	robust	robust	ADJ
cana-3636	286	33	tensor	tensor	NOUN
cana-3636	286	34	decomposition	decomposition	NOUN
cana-3636	286	35	and	and	CCONJ
cana-3636	286	36	extended	extended	ADJ
cana-3636	286	37	kalman	kalman	NOUN
cana-3636	286	38	filtering	filtering	NOUN
cana-3636	286	39	.	.	PUNCT
cana-3636	287	1	in	in	ADP
cana-3636	287	2	:	:	PUNCT
cana-3636	287	3	computing	compute	VERB
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cana-3636	287	6	[	[	NOUN
cana-3636	287	7	30	30	NUM
cana-3636	287	8	]	]	X
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cana-3636	287	10	,	,	PUNCT
cana-3636	287	11	j.	j.	PROPN
cana-3636	287	12	,oster	,oster	PROPN
cana-3636	287	13	,	,	PUNCT
cana-3636	287	14	j.	j.	PROPN
cana-3636	287	15	,	,	PUNCT
cana-3636	287	16	clifford	clifford	PROPN
cana-3636	287	17	,	,	PUNCT
cana-3636	287	18	g.d.:combining	g.d.:combine	VERB
cana-3636	287	19	and	and	CCONJ
cana-3636	287	20	benchmarking	benchmarke	VERB
cana-3636	287	21	methods	method	NOUN
cana-3636	287	22	of	of	ADP
cana-3636	287	23	foetal	foetal	ADJ
cana-3636	287	24	ecg	ecg	PROPN
cana-3636	287	25	extraction	extraction	NOUN
cana-3636	287	26	without	without	ADP
cana-3636	287	27	maternal	maternal	ADJ
cana-3636	287	28	or	or	CCONJ
cana-3636	287	29	scalp	scalp	NOUN
cana-3636	287	30	electrode	electrode	NOUN
cana-3636	287	31	data	datum	NOUN
cana-3636	287	32	.	.	PUNCT
cana-3636	288	1	physiological	physiological	ADJ
cana-3636	288	2	measurement	measurement	NOUN
cana-3636	288	3	35(8	35(8	NUM
cana-3636	288	4	)	)	PUNCT
cana-3636	288	5	,	,	PUNCT
cana-3636	288	6	1569	1569	NUM
cana-3636	288	7	(	(	PUNCT
cana-3636	288	8	2014	2014	NUM
cana-3636	288	9	)	)	PUNCT
cana-3636	289	1	[	[	X
cana-3636	289	2	31	31	NUM
cana-3636	289	3	]	]	X
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cana-3636	289	5	,	,	PUNCT
cana-3636	289	6	m.r	m.r	PROPN
cana-3636	289	7	.	.	PROPN
cana-3636	289	8	,	,	PUNCT
cana-3636	289	9	vedaei	vedaei	PROPN
cana-3636	289	10	,	,	PUNCT
cana-3636	289	11	s.s	s.s	PROPN
cana-3636	289	12	.	.	PROPN
cana-3636	289	13	,	,	PUNCT
cana-3636	289	14	wahid	wahid	PROPN
cana-3636	289	15	,	,	PUNCT
cana-3636	289	16	k.a	k.a	PROPN
cana-3636	289	17	.	.	PROPN
cana-3636	289	18	,	,	PUNCT
cana-3636	289	19	dinh	dinh	PROPN
cana-3636	289	20	,	,	PUNCT
cana-3636	289	21	a.	a.	NOUN
cana-3636	289	22	,	,	PUNCT
cana-3636	289	23	marateb	marateb	PROPN
cana-3636	289	24	,	,	PUNCT
cana-3636	289	25	h.r	h.r	PROPN
cana-3636	289	26	.	.	PROPN
cana-3636	289	27	:	:	PUNCT
cana-3636	289	28	fetal	fetal	ADJ
cana-3636	289	29	ecg	ecg	PROPN
cana-3636	289	30	extraction	extraction	NOUN
cana-3636	289	31	from	from	ADP
cana-3636	289	32	maternal	maternal	ADJ
cana-3636	289	33	ecg	ecg	PROPN
cana-3636	289	34	using	use	VERB
cana-3636	289	35	attention	attention	NOUN
cana-3636	289	36	-	-	PUNCT
cana-3636	289	37	based	base	VERB
cana-3636	289	38	asymmetric	asymmetric	ADJ
cana-3636	289	39	cyclegan.corr	cyclegan.corr	NOUN
cana-3636	289	40	(	(	PUNCT
cana-3636	289	41	2020	2020	NUM
cana-3636	289	42	)	)	PUNCT
cana-3636	290	1	[	[	X
cana-3636	290	2	32	32	NUM
cana-3636	290	3	]	]	X
cana-3636	290	4	mohebbian	mohebbian	ADJ
cana-3636	290	5	,	,	PUNCT
cana-3636	290	6	m.r	m.r	PROPN
cana-3636	290	7	.	.	PROPN
cana-3636	290	8	,	,	PUNCT
cana-3636	290	9	alam	alam	PROPN
cana-3636	290	10	,	,	PUNCT
cana-3636	290	11	m.w	m.w	PROPN
cana-3636	290	12	.	.	PROPN
cana-3636	290	13	,	,	PUNCT
cana-3636	290	14	wahid	wahid	PROPN
cana-3636	290	15	,	,	PUNCT
cana-3636	290	16	k.a	k.a	PROPN
cana-3636	290	17	.	.	PROPN
cana-3636	290	18	,	,	PUNCT
cana-3636	290	19	dinh	dinh	PROPN
cana-3636	290	20	,	,	PUNCT
cana-3636	290	21	a.	a.	NOUN
cana-3636	290	22	:	:	PUNCT
cana-3636	290	23	single	single	ADJ
cana-3636	290	24	channel	channel	NOUN
cana-3636	290	25	high	high	ADJ
cana-3636	290	26	noise	noise	NOUN
cana-3636	290	27	level	level	NOUN
cana-3636	290	28	ecg	ecg	PROPN
cana-3636	290	29	deconvolution	deconvolution	NOUN
cana-3636	290	30	using	use	VERB
cana-3636	290	31	optimized	optimize	VERB
cana-3636	290	32	blind	blind	ADJ
cana-3636	290	33	adaptive	adaptive	ADJ
cana-3636	290	34	filtering	filtering	NOUN
cana-3636	290	35	and	and	CCONJ
cana-3636	290	36	fixed	fix	VERB
cana-3636	290	37	-	-	PUNCT
cana-3636	290	38	point	point	NOUN
cana-3636	290	39	convolution	convolution	NOUN
cana-3636	290	40	kernel	kernel	PROPN
cana-3636	290	41	compensation	compensation	PROPN
cana-3636	290	42	.	.	PUNCT
cana-3636	291	1	biomedical	biomedical	ADJ
cana-3636	291	2	signal	signal	NOUN
cana-3636	291	3	processing	processing	NOUN
cana-3636	291	4	and	and	CCONJ
cana-3636	291	5	control57	control57	NOUN
cana-3636	291	6	,	,	PUNCT
cana-3636	291	7	101673	101673	NUM
cana-3636	291	8	(	(	PUNCT
cana-3636	291	9	2020	2020	NUM
cana-3636	291	10	)	)	PUNCT
cana-3636	292	1	[	[	X
cana-3636	292	2	33	33	NUM
cana-3636	292	3	]	]	X
cana-3636	292	4	zhang	zhang	PROPN
cana-3636	292	5	,	,	PUNCT
cana-3636	292	6	n.	n.	PROPN
cana-3636	292	7	,zhang	,zhang	PROPN
cana-3636	292	8	,	,	PUNCT
cana-3636	292	9	j.	j.	PROPN
cana-3636	292	10	,li	,li	PROPN
cana-3636	292	11	,	,	PUNCT
cana-3636	292	12	h.	h.	PROPN
cana-3636	292	13	,mumini	,mumini	PROPN
cana-3636	292	14	,	,	PUNCT
cana-3636	292	15	o.o	o.o	PROPN
cana-3636	292	16	.	.	PROPN
cana-3636	292	17	,samuel	,samuel	PUNCT
cana-3636	292	18	,	,	PUNCT
cana-3636	292	19	o.w	o.w	PROPN
cana-3636	292	20	.	.	PROPN
cana-3636	292	21	,ivanov	,ivanov	PROPN
cana-3636	292	22	,	,	PUNCT
cana-3636	292	23	k.	k.	PROPN
cana-3636	292	24	,wang	,wang	PROPN
cana-3636	292	25	,	,	PUNCT
cana-3636	292	26	l.	l.	PROPN
cana-3636	292	27	:	:	PUNCT
cana-3636	292	28	a	a	DET
cana-3636	292	29	novel	novel	ADJ
cana-3636	292	30	technique	technique	NOUN
cana-3636	292	31	for	for	ADP
cana-3636	292	32	fetal	fetal	ADJ
cana-3636	292	33	ecg	ecg	PROPN
cana-3636	292	34	extraction	extraction	NOUN
cana-3636	292	35	using	use	VERB
cana-3636	292	36	single	single	ADJ
cana-3636	292	37	-	-	PUNCT
cana-3636	292	38	channel	channel	NOUN
cana-3636	292	39	abdominal	abdominal	ADJ
cana-3636	292	40	recording	recording	NOUN
cana-3636	292	41	.	.	PUNCT
cana-3636	292	42	sensors	sensor	NOUN
cana-3636	292	43	17(3	17(3	NUM
cana-3636	292	44	)	)	PUNCT
cana-3636	292	45	,	,	PUNCT
cana-3636	292	46	457	457	NUM
cana-3636	292	47	(	(	PUNCT
cana-3636	292	48	2017	2017	NUM
cana-3636	292	49	)	)	PUNCT
cana-3636	293	1	[	[	X
cana-3636	293	2	34	34	NUM
cana-3636	293	3	]	]	X
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cana-3636	293	5	,	,	PUNCT
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cana-3636	293	8	,	,	PUNCT
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cana-3636	293	12	x.	x.	NOUN
cana-3636	293	13	,wang	,wang	PROPN
cana-3636	293	14	,	,	PUNCT
cana-3636	293	15	g.:fetalelectro	g.:fetalelectro	VERB
cana-3636	293	16	cardiography	cardiography	NOUN
cana-3636	293	17	extraction	extraction	NOUN
cana-3636	293	18	with	with	ADP
cana-3636	293	19	residual	residual	ADJ
cana-3636	293	20	convolutional	convolutional	ADJ
cana-3636	293	21	encoder	encoder	NOUN
cana-3636	293	22	–	–	PUNCT
cana-3636	293	23	decoder	decoder	NOUN
cana-3636	293	24	networks	network	NOUN
cana-3636	293	25	.	.	PUNCT
cana-3636	294	1	australasian	australasian	ADJ
cana-3636	294	2	physical	physical	PROPN
cana-3636	294	3	&	&	CCONJ
cana-3636	294	4	engineering	engineering	PROPN
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cana-3636	294	6	in	in	ADP
cana-3636	294	7	medicine	medicine	NOUN
cana-3636	294	8	42	42	NUM
cana-3636	294	9	,	,	PUNCT
cana-3636	294	10	1081–1089	1081–1089	NUM
cana-3636	294	11	(	(	PUNCT
cana-3636	294	12	2019	2019	NUM
cana-3636	294	13	)	)	PUNCT
cana-3636	294	14	.	.	PUNCT
cana-3636	295	1	[	[	X
cana-3636	295	2	35	35	NUM
cana-3636	295	3	]	]	SYM
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cana-3636	295	5	,	,	PUNCT
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cana-3636	295	8	ski	ski	PROPN
cana-3636	295	9	,	,	PUNCT
cana-3636	295	10	t.	t.	PROPN
cana-3636	295	11	,	,	PUNCT
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cana-3636	295	13	,	,	PUNCT
cana-3636	295	14	j.	j.	PROPN
cana-3636	295	15	,	,	PUNCT
cana-3636	295	16	vullings	vullings	PROPN
cana-3636	295	17	,	,	PUNCT
cana-3636	295	18	r.	r.	PROPN
cana-3636	295	19	:	:	PUNCT
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cana-3636	295	21	convolutional	convolutional	ADJ
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cana-3636	295	23	-	-	PUNCT
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cana-3636	295	25	framework	framework	NOUN
cana-3636	295	26	for	for	ADP
cana-3636	295	27	fetal	fetal	ADJ
cana-3636	295	28	ecg	ecg	PROPN
cana-3636	295	29	signal	signal	NOUN
cana-3636	295	30	denoising	denoising	NOUN
cana-3636	295	31	.	.	PUNCT
cana-3636	296	1	in	in	ADP
cana-3636	296	2	:	:	PUNCT
cana-3636	296	3	2019	2019	NUM
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cana-3636	296	5	in	in	ADP
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cana-3636	296	7	[	[	X
cana-3636	296	8	36	36	NUM
cana-3636	296	9	]	]	X
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cana-3636	296	11	,	,	PUNCT
cana-3636	296	12	w.	w.	PROPN
cana-3636	296	13	,	,	PUNCT
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cana-3636	296	15	,	,	PUNCT
cana-3636	296	16	x.	x.	PROPN
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cana-3636	296	21	:	:	PUNCT
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cana-3636	296	23	-	-	ADJ
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cana-3636	296	25	fetal	fetal	ADJ
cana-3636	296	26	electrocardiography	electrocardiography	NOUN
cana-3636	296	27	denoising	denoising	NOUN
cana-3636	296	28	using	use	VERB
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cana-3636	296	30	convolutional	convolutional	ADJ
cana-3636	296	31	encoder	encoder	NOUN
cana-3636	296	32	-	-	PUNCT
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cana-3636	296	34	networks	network	NOUN
cana-3636	296	35	.	.	PUNCT
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cana-3636	297	2	:	:	PUNCT
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cana-3636	297	5	2019	2019	NUM
cana-3636	297	6	chinese	chinese	ADJ
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cana-3636	297	10	:	:	PUNCT
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cana-3636	297	12	,	,	PUNCT
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cana-3636	297	14	[	[	X
cana-3636	297	15	37	37	NUM
cana-3636	297	16	]	]	X
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cana-3636	297	18	,	,	PUNCT
cana-3636	297	19	s.	s.	PROPN
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cana-3636	297	28	c.	c.	PROPN
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cana-3636	297	30	,	,	PUNCT
cana-3636	297	31	j.	j.	PROPN
cana-3636	297	32	:	:	PUNCT
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cana-3636	297	34	and	and	CCONJ
cana-3636	297	35	challenges	challenge	NOUN
cana-3636	297	36	of	of	ADP
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cana-3636	297	38	learning	learning	NOUN
cana-3636	297	39	methods	method	NOUN
cana-3636	297	40	for	for	ADP
cana-3636	297	41	electrocardiogram	electrocardiogram	NOUN
cana-3636	297	42	data	datum	NOUN
cana-3636	297	43	:	:	PUNCT
cana-3636	297	44	a	a	DET
cana-3636	297	45	systematic	systematic	ADJ
cana-3636	297	46	review	review	NOUN
cana-3636	297	47	.	.	PUNCT
cana-3636	298	1	computers	computer	NOUN
cana-3636	298	2	in	in	ADP
cana-3636	298	3	biology	biology	NOUN
cana-3636	298	4	and	and	CCONJ
cana-3636	298	5	medicine	medicine	NOUN
cana-3636	298	6	122	122	NUM
cana-3636	298	7	,	,	PUNCT
cana-3636	298	8	103801	103801	NUM
cana-3636	298	9	(	(	PUNCT
cana-3636	298	10	2020	2020	NUM
cana-3636	298	11	)	)	PUNCT
cana-3636	299	1	[	[	X
cana-3636	299	2	38	38	NUM
cana-3636	299	3	]	]	X
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cana-3636	299	5	,	,	PUNCT
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cana-3636	299	7	,	,	PUNCT
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cana-3636	299	9	,	,	PUNCT
cana-3636	299	10	r.	r.	PROPN
cana-3636	299	11	,	,	PUNCT
cana-3636	299	12	liu	liu	PROPN
cana-3636	299	13	,	,	PUNCT
cana-3636	299	14	z.	z.	PROPN
cana-3636	299	15	:	:	PUNCT
cana-3636	299	16	ecg	ecg	PROPN
cana-3636	299	17	signal	signal	PROPN
cana-3636	299	18	denoising	denoising	NOUN
cana-3636	299	19	method	method	NOUN
cana-3636	299	20	based	base	VERB
cana-3636	299	21	on	on	ADP
cana-3636	299	22	disentangled	disentangle	VERB
cana-3636	299	23	autoencoder	autoencoder	NOUN
cana-3636	299	24	.	.	PUNCT
cana-3636	300	1	electronics	electronics	NOUN
cana-3636	300	2	12(7	12(7	NUM
cana-3636	300	3	)	)	PUNCT
cana-3636	300	4	,	,	PUNCT
cana-3636	300	5	1606	1606	NUM
cana-3636	300	6	(	(	PUNCT
cana-3636	300	7	2023	2023	NUM
cana-3636	300	8	)	)	PUNCT
cana-3636	301	1	[	[	X
cana-3636	301	2	39	39	NUM
cana-3636	301	3	]	]	X
cana-3636	301	4	luz	luz	NOUN
cana-3636	301	5	,	,	PUNCT
cana-3636	301	6	e.j.d.s	e.j.d.s	PROPN
cana-3636	301	7	.	.	PROPN
cana-3636	301	8	,	,	PUNCT
cana-3636	301	9	schwartz	schwartz	PROPN
cana-3636	301	10	,	,	PUNCT
cana-3636	301	11	w.r	w.r	PROPN
cana-3636	301	12	.	.	PROPN
cana-3636	301	13	,	,	PUNCT
cana-3636	301	14	c	c	PROPN
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cana-3636	301	16	-	-	PUNCT
cana-3636	301	17	ch´avez	ch´avez	PROPN
cana-3636	301	18	,	,	PUNCT
cana-3636	301	19	g.	g.	PROPN
cana-3636	301	20	,menotti	,menotti	PROPN
cana-3636	301	21	,	,	PUNCT
cana-3636	301	22	d.:ecg	d.:ecg	NOUN
cana-3636	301	23	-	-	PUNCT
cana-3636	301	24	basedheartbeat	basedheartbeat	NOUN
cana-3636	301	25	classification	classification	NOUN
cana-3636	301	26	for	for	ADP
cana-3636	301	27	arrhythmia	arrhythmia	NOUN
cana-3636	301	28	detection	detection	NOUN
cana-3636	301	29	:	:	PUNCT
cana-3636	301	30	a	a	DET
cana-3636	301	31	survey	survey	NOUN
cana-3636	301	32	.	.	PUNCT
cana-3636	302	1	computer	computer	NOUN
cana-3636	302	2	methods	method	NOUN
cana-3636	302	3	and	and	CCONJ
cana-3636	302	4	programs	program	NOUN
cana-3636	302	5	in	in	ADP
cana-3636	302	6	biomedicine	biomedicine	NOUN
cana-3636	302	7	127	127	NUM
cana-3636	302	8	,	,	PUNCT
cana-3636	302	9	144–164	144–164	NUM
cana-3636	302	10	(	(	PUNCT
cana-3636	302	11	2016	2016	NUM
cana-3636	302	12	)	)	PUNCT
cana-3636	303	1	[	[	X
cana-3636	303	2	40	40	NUM
cana-3636	303	3	]	]	PUNCT
cana-3636	303	4	rajpurkar	rajpurkar	NOUN
cana-3636	303	5	,	,	PUNCT
cana-3636	303	6	p.	p.	PROPN
cana-3636	303	7	,	,	PUNCT
cana-3636	303	8	hannun	hannun	PROPN
cana-3636	303	9	,	,	PUNCT
cana-3636	303	10	a.y	a.y	PROPN
cana-3636	303	11	.	.	PROPN
cana-3636	303	12	,	,	PUNCT
cana-3636	303	13	haghpanahi	haghpanahi	PROPN
cana-3636	303	14	,	,	PUNCT
cana-3636	303	15	m.	m.	NOUN
cana-3636	303	16	,	,	PUNCT
cana-3636	303	17	bourn	bourn	NOUN
cana-3636	303	18	,	,	PUNCT
cana-3636	303	19	c.	c.	PROPN
cana-3636	303	20	,	,	PUNCT
cana-3636	303	21	ng	ng	PROPN
cana-3636	303	22	,	,	PUNCT
cana-3636	303	23	a.y	a.y	PROPN
cana-3636	303	24	.	.	PROPN
cana-3636	303	25	:	:	PUNCT
cana-3636	303	26	cardiologistlevel	cardiologistlevel	NOUN
cana-3636	303	27	arrhythmia	arrhythmia	NOUN
cana-3636	303	28	detection	detection	NOUN
cana-3636	303	29	with	with	ADP
cana-3636	303	30	convolutional	convolutional	ADJ
cana-3636	303	31	neural	neural	ADJ
cana-3636	303	32	networks	network	NOUN
cana-3636	303	33	.	.	PUNCT
cana-3636	304	1	arxiv	arxiv	PROPN
cana-3636	304	2	preprint	preprint	VERB
cana-3636	304	3	arxiv:1707.01836	arxiv:1707.01836	NOUN
cana-3636	304	4	(	(	PUNCT
cana-3636	304	5	2017	2017	NUM
cana-3636	304	6	)	)	PUNCT
cana-3636	305	1	[	[	X
cana-3636	305	2	41	41	NUM
cana-3636	305	3	]	]	PUNCT
cana-3636	305	4	avanzato	avanzato	PROPN
cana-3636	305	5	,	,	PUNCT
cana-3636	305	6	r.	r.	PROPN
cana-3636	305	7	,	,	PUNCT
cana-3636	305	8	beritelli	beritelli	PROPN
cana-3636	305	9	,	,	PUNCT
cana-3636	305	10	f.	f.	PROPN
cana-3636	305	11	:	:	PUNCT
cana-3636	305	12	automatic	automatic	ADJ
cana-3636	305	13	ecg	ecg	PROPN
cana-3636	305	14	diagnosis	diagnosis	NOUN
cana-3636	305	15	using	use	VERB
cana-3636	305	16	convolutional	convolutional	ADJ
cana-3636	305	17	neural	neural	ADJ
cana-3636	305	18	network	network	NOUN
cana-3636	305	19	.	.	PUNCT
cana-3636	306	1	electronics	electronic	NOUN
cana-3636	306	2	9(6	9(6	NUM
cana-3636	306	3	)	)	PUNCT
cana-3636	306	4	,	,	PUNCT
cana-3636	306	5	951	951	NUM
cana-3636	306	6	(	(	PUNCT
cana-3636	306	7	2020	2020	NUM
cana-3636	306	8	)	)	PUNCT
cana-3636	307	1	[	[	X
cana-3636	307	2	42	42	NUM
cana-3636	307	3	]	]	X
cana-3636	307	4	acharya	acharya	PROPN
cana-3636	307	5	,	,	PUNCT
cana-3636	307	6	u.r	u.r	PROPN
cana-3636	307	7	.	.	PROPN
cana-3636	307	8	,fujita	,fujita	PROPN
cana-3636	307	9	,	,	PUNCT
cana-3636	307	10	h.	h.	PROPN
cana-3636	307	11	,oh	,oh	PROPN
cana-3636	307	12	,	,	PUNCT
cana-3636	307	13	s.l	s.l	PROPN
cana-3636	307	14	.	.	PROPN
cana-3636	307	15	,hagiwara	,hagiwara	PROPN
cana-3636	307	16	,	,	PUNCT
cana-3636	307	17	y.	y.	PROPN
cana-3636	307	18	,tan	,tan	PROPN
cana-3636	307	19	,	,	PUNCT
cana-3636	307	20	j.h	j.h	PROPN
cana-3636	307	21	.	.	PROPN
cana-3636	307	22	,adam	,adam	PUNCT
cana-3636	307	23	,	,	PUNCT
cana-3636	307	24	m.	m.	NOUN
cana-3636	307	25	,tan	,tan	PUNCT
cana-3636	307	26	,	,	PUNCT
cana-3636	307	27	r.s	r.s	PROPN
cana-3636	307	28	.	.	PROPN
cana-3636	307	29	:	:	PUNCT
cana-3636	308	1	deep	deep	ADJ
cana-3636	308	2	convolutional	convolutional	ADJ
cana-3636	308	3	neural	neural	ADJ
cana-3636	308	4	network	network	NOUN
cana-3636	308	5	for	for	ADP
cana-3636	308	6	the	the	DET
cana-3636	308	7	automated	automate	VERB
cana-3636	308	8	diagnosis	diagnosis	NOUN
cana-3636	308	9	of	of	ADP
cana-3636	308	10	congestive	congestive	ADJ
cana-3636	308	11	heart	heart	NOUN
cana-3636	308	12	failure	failure	NOUN
cana-3636	308	13	using	use	VERB
cana-3636	308	14	ecg	ecg	PROPN
cana-3636	308	15	signals	signal	NOUN
cana-3636	308	16	.	.	PUNCT
cana-3636	309	1	applied	apply	VERB
cana-3636	309	2	intelligence	intelligence	NOUN
cana-3636	309	3	49	49	NUM
cana-3636	309	4	,	,	PUNCT
cana-3636	309	5	16–27	16–27	NUM
cana-3636	309	6	(	(	PUNCT
cana-3636	309	7	2019	2019	NUM
cana-3636	309	8	)	)	PUNCT
cana-3636	310	1	[	[	X
cana-3636	310	2	43	43	NUM
cana-3636	310	3	]	]	X
cana-3636	310	4	acharya	acharya	PROPN
cana-3636	310	5	,	,	PUNCT
cana-3636	310	6	u.r	u.r	PROPN
cana-3636	310	7	.	.	PROPN
cana-3636	310	8	,	,	PUNCT
cana-3636	310	9	faust	faust	PROPN
cana-3636	310	10	,	,	PUNCT
cana-3636	310	11	o.	o.	PROPN
cana-3636	310	12	,	,	PUNCT
cana-3636	310	13	sree	sree	PROPN
cana-3636	310	14	,	,	PUNCT
cana-3636	310	15	v.	v.	PROPN
cana-3636	310	16	,	,	PUNCT
cana-3636	310	17	swapna	swapna	PROPN
cana-3636	310	18	,	,	PUNCT
cana-3636	310	19	g.	g.	PROPN
cana-3636	310	20	,	,	PUNCT
cana-3636	310	21	martis	martis	PROPN
cana-3636	310	22	,	,	PUNCT
cana-3636	310	23	r.j	r.j	PROPN
cana-3636	310	24	.	.	PROPN
cana-3636	310	25	,	,	PUNCT
cana-3636	310	26	kadri	kadri	PROPN
cana-3636	310	27	,	,	PUNCT
cana-3636	310	28	n.a	n.a	PROPN
cana-3636	310	29	.	.	PROPN
cana-3636	310	30	,	,	PUNCT
cana-3636	310	31	suri	suri	PROPN
cana-3636	310	32	,	,	PUNCT
cana-3636	310	33	j.s.:linear	j.s.:linear	PROPN
cana-3636	310	34	and	and	CCONJ
cana-3636	310	35	nonlinear	nonlinear	ADJ
cana-3636	310	36	analysis	analysis	NOUN
cana-3636	310	37	of	of	ADP
cana-3636	310	38	normal	normal	ADJ
cana-3636	310	39	and	and	CCONJ
cana-3636	310	40	cad	cad	NOUN
cana-3636	310	41	-	-	PUNCT
cana-3636	310	42	affected	affect	VERB
cana-3636	310	43	heart	heart	NOUN
cana-3636	310	44	rate	rate	NOUN
cana-3636	310	45	signals	signal	NOUN
cana-3636	310	46	.	.	PUNCT
cana-3636	311	1	computer	computer	NOUN
cana-3636	311	2	methods	method	NOUN
cana-3636	311	3	and	and	CCONJ
cana-3636	311	4	programs	program	NOUN
cana-3636	311	5	in	in	ADP
cana-3636	311	6	biomedicine	biomedicine	NOUN
cana-3636	311	7	113(1),55–68(2014	113(1),55–68(2014	NUM
cana-3636	311	8	)	)	PUNCT
cana-3636	312	1	[	[	X
cana-3636	312	2	44	44	NUM
cana-3636	312	3	]	]	SYM
cana-3636	312	4	behar	behar	PROPN
cana-3636	312	5	,	,	PUNCT
cana-3636	312	6	j.a	j.a	PROPN
cana-3636	312	7	.	.	PROPN
cana-3636	312	8	,	,	PUNCT
cana-3636	312	9	bonnemains	bonnemain	VERB
cana-3636	312	10	,	,	PUNCT
cana-3636	312	11	l.	l.	PROPN
cana-3636	312	12	,	,	PUNCT
cana-3636	312	13	shulgin	shulgin	NOUN
cana-3636	312	14	,	,	PUNCT
cana-3636	312	15	v.	v.	ADV
cana-3636	312	16	,	,	PUNCT
cana-3636	312	17	oster	oster	NOUN
cana-3636	312	18	,	,	PUNCT
cana-3636	312	19	j.	j.	PROPN
cana-3636	312	20	,	,	PUNCT
cana-3636	312	21	ostras	ostras	PROPN
cana-3636	312	22	,	,	PUNCT
cana-3636	312	23	o.	o.	NOUN
cana-3636	312	24	,	,	PUNCT
cana-3636	312	25	lakhno	lakhno	NOUN
cana-3636	312	26	,	,	PUNCT
cana-3636	312	27	i.	i.	PROPN
cana-3636	312	28	:	:	PUNCT
cana-3636	312	29	noninvasive	noninvasive	ADJ
cana-3636	312	30	fetal	fetal	ADJ
cana-3636	312	31	electrocardiography	electrocardiography	NOUN
cana-3636	312	32	for	for	ADP
cana-3636	312	33	the	the	DET
cana-3636	312	34	detection	detection	NOUN
cana-3636	312	35	of	of	ADP
cana-3636	312	36	fetal	fetal	ADJ
cana-3636	312	37	arrhythmias	arrhythmia	NOUN
cana-3636	312	38	.	.	PUNCT
cana-3636	313	1	prenatal	prenatal	ADJ
cana-3636	313	2	diagnosis	diagnosis	NOUN
cana-3636	313	3	39(3	39(3	NUM
cana-3636	313	4	)	)	PUNCT
cana-3636	313	5	,	,	PUNCT
cana-3636	313	6	178–187	178–187	NUM
cana-3636	313	7	(	(	PUNCT
cana-3636	313	8	2019	2019	NUM
cana-3636	313	9	)	)	PUNCT
cana-3636	314	1	[	[	X
cana-3636	314	2	45	45	NUM
cana-3636	314	3	]	]	X
cana-3636	314	4	kayaer	kayaer	PROPN
cana-3636	314	5	,	,	PUNCT
cana-3636	314	6	k.	k.	PROPN
cana-3636	314	7	,	,	PUNCT
cana-3636	314	8	tavsanoglu	tavsanoglu	PROPN
cana-3636	314	9	,	,	PUNCT
cana-3636	314	10	v.	v.	ADP
cana-3636	314	11	:	:	PUNCT
cana-3636	314	12	a	a	DET
cana-3636	314	13	new	new	ADJ
cana-3636	314	14	approach	approach	NOUN
cana-3636	314	15	to	to	PART
cana-3636	314	16	emulate	emulate	VERB
cana-3636	314	17	cnn	cnn	PROPN
cana-3636	314	18	on	on	ADP
cana-3636	314	19	fpgas	fpgas	NOUN
cana-3636	314	20	for	for	ADP
cana-3636	314	21	real	real	ADJ
cana-3636	314	22	time	time	NOUN
cana-3636	314	23	video	video	NOUN
cana-3636	314	24	processing	processing	NOUN
cana-3636	314	25	.	.	PUNCT
cana-3636	315	1	in:2008	in:2008	VERB
cana-3636	315	2	11	11	NUM
cana-3636	315	3	th	th	X
cana-3636	315	4	international	international	ADJ
cana-3636	315	5	workshop	workshop	NOUN
cana-3636	315	6	on	on	ADP
cana-3636	315	7	cellular	cellular	ADJ
cana-3636	315	8	neural	neural	ADJ
cana-3636	315	9	networks	network	NOUN
cana-3636	315	10	and	and	CCONJ
cana-3636	315	11	their	their	PRON
cana-3636	315	12	applications	application	NOUN
cana-3636	315	13	,	,	PUNCT
cana-3636	315	14	pp	pp	ADV
cana-3636	315	15	.	.	PUNCT
cana-3636	316	1	23–28	23–28	NUM
cana-3636	316	2	(	(	PUNCT
cana-3636	316	3	2008	2008	NUM
cana-3636	316	4	)	)	PUNCT
cana-3636	316	5	.	.	PUNCT
cana-3636	317	1	ieee	ieee	NOUN
cana-3636	317	2	communications	communication	NOUN
cana-3636	317	3	on	on	ADP
cana-3636	317	4	applied	apply	VERB
cana-3636	317	5	nonlinear	nonlinear	ADJ
cana-3636	317	6	analysis	analysis	NOUN
cana-3636	317	7	issn	issn	NOUN
cana-3636	317	8	:	:	PUNCT
cana-3636	317	9	1074	1074	NUM
cana-3636	317	10	-	-	PUNCT
cana-3636	317	11	133x	133x	NUM
cana-3636	317	12	vol	vol	NOUN
cana-3636	317	13	32	32	NUM
cana-3636	317	14	no	no	NOUN
cana-3636	317	15	.	.	PUNCT
cana-3636	318	1	8s	8s	PROPN
cana-3636	318	2	(	(	PUNCT
cana-3636	318	3	2025	2025	NUM
cana-3636	318	4	)	)	PUNCT
cana-3636	318	5	213	213	NUM
cana-3636	318	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3636	319	1	[	[	X
cana-3636	319	2	46	46	NUM
cana-3636	319	3	]	]	PUNCT
cana-3636	319	4	alzubaidi	alzubaidi	PROPN
cana-3636	319	5	,	,	PUNCT
cana-3636	319	6	l.	l.	PROPN
cana-3636	319	7	,zhang	,zhang	PROPN
cana-3636	319	8	,	,	PUNCT
cana-3636	319	9	j.	j.	PROPN
cana-3636	319	10	,humaidi	,humaidi	PROPN
cana-3636	319	11	,	,	PUNCT
cana-3636	319	12	a.j	a.j	PROPN
cana-3636	319	13	.	.	PROPN
cana-3636	319	14	,al	,al	PROPN
cana-3636	319	15	-	-	PUNCT
cana-3636	319	16	dujaili	dujaili	NOUN
cana-3636	319	17	,	,	PUNCT
cana-3636	319	18	a.	a.	PROPN
cana-3636	319	19	,duan	,duan	PROPN
cana-3636	319	20	,	,	PUNCT
cana-3636	319	21	y.	y.	PROPN
cana-3636	319	22	,al	,al	PROPN
cana-3636	319	23	-	-	PUNCT
cana-3636	319	24	shamma	shamma	NOUN
cana-3636	319	25	,	,	PUNCT
cana-3636	319	26	o.	o.	PROPN
cana-3636	319	27	,	,	PUNCT
cana-3636	319	28	santamar´ıa	santamar´ıa	PROPN
cana-3636	319	29	,	,	PUNCT
cana-3636	319	30	j.	j.	PROPN
cana-3636	319	31	,	,	PUNCT
cana-3636	319	32	fadhel	fadhel	PROPN
cana-3636	319	33	,	,	PUNCT
cana-3636	319	34	m.a	m.a	PROPN
cana-3636	319	35	.	.	PROPN
cana-3636	319	36	,	,	PUNCT
cana-3636	319	37	al	al	PROPN
cana-3636	319	38	-	-	PUNCT
cana-3636	319	39	amidie	amidie	NOUN
cana-3636	319	40	,	,	PUNCT
cana-3636	319	41	m.	m.	NOUN
cana-3636	319	42	,	,	PUNCT
cana-3636	319	43	farhan	farhan	PROPN
cana-3636	319	44	,	,	PUNCT
cana-3636	319	45	l.	l.	PROPN
cana-3636	319	46	:	:	PUNCT
cana-3636	319	47	review	review	NOUN
cana-3636	319	48	of	of	ADP
cana-3636	319	49	deep	deep	ADJ
cana-3636	319	50	learning	learning	NOUN
cana-3636	319	51	:	:	PUNCT
cana-3636	320	1	concepts	concept	NOUN
cana-3636	320	2	,	,	PUNCT
cana-3636	320	3	cnn	cnn	PROPN
cana-3636	320	4	architectures	architecture	NOUN
cana-3636	320	5	,	,	PUNCT
cana-3636	320	6	challenges	challenge	NOUN
cana-3636	320	7	,	,	PUNCT
cana-3636	320	8	applications	application	NOUN
cana-3636	320	9	,	,	PUNCT
cana-3636	320	10	future	future	ADJ
cana-3636	320	11	directions	direction	NOUN
cana-3636	320	12	.	.	PUNCT
cana-3636	321	1	journal	journal	NOUN
cana-3636	321	2	of	of	ADP
cana-3636	321	3	big	big	ADJ
cana-3636	321	4	data	datum	NOUN
cana-3636	321	5	8	8	NUM
cana-3636	321	6	,	,	PUNCT
cana-3636	321	7	1–74	1–74	NUM
cana-3636	321	8	(	(	PUNCT
cana-3636	321	9	2021	2021	NUM
cana-3636	321	10	)	)	PUNCT
cana-3636	322	1	[	[	X
cana-3636	322	2	47	47	NUM
cana-3636	322	3	]	]	X
cana-3636	322	4	gupta	gupta	PROPN
cana-3636	322	5	,	,	PUNCT
cana-3636	322	6	j.	j.	PROPN
cana-3636	322	7	,	,	PUNCT
cana-3636	322	8	pathak	pathak	PROPN
cana-3636	322	9	,	,	PUNCT
cana-3636	322	10	s.	s.	PROPN
cana-3636	322	11	,	,	PUNCT
cana-3636	322	12	kumar	kumar	PROPN
cana-3636	322	13	,	,	PUNCT
cana-3636	322	14	g.	g.	PROPN
cana-3636	322	15	:	:	PUNCT
cana-3636	322	16	deep	deep	ADJ
cana-3636	322	17	learning	learning	NOUN
cana-3636	322	18	(	(	PUNCT
cana-3636	322	19	cnn	cnn	PROPN
cana-3636	322	20	)	)	PUNCT
cana-3636	322	21	and	and	CCONJ
cana-3636	322	22	transfer	transfer	NOUN
cana-3636	322	23	learning	learning	NOUN
cana-3636	322	24	:	:	PUNCT
cana-3636	322	25	a	a	DET
cana-3636	322	26	review	review	NOUN
cana-3636	322	27	.	.	PUNCT
cana-3636	323	1	in	in	ADP
cana-3636	323	2	:	:	PUNCT
cana-3636	323	3	journal	journal	PROPN
cana-3636	323	4	of	of	ADP
cana-3636	323	5	physics	physics	PROPN
cana-3636	323	6	:	:	PUNCT
cana-3636	323	7	conference	conference	NOUN
cana-3636	323	8	series	series	NOUN
cana-3636	323	9	,	,	PUNCT
cana-3636	323	10	vol	vol	NOUN
cana-3636	323	11	.	.	PROPN
cana-3636	323	12	2273	2273	NUM
cana-3636	323	13	,	,	PUNCT
cana-3636	323	14	p.	p.	NOUN
cana-3636	323	15	012029	012029	NUM
cana-3636	323	16	(	(	PUNCT
cana-3636	323	17	2022	2022	NUM
cana-3636	323	18	)	)	PUNCT
cana-3636	323	19	.	.	PUNCT
cana-3636	324	1	iop	iop	NOUN
cana-3636	324	2	publishing	publish	VERB
cana-3636	324	3	[	[	X
cana-3636	324	4	48	48	NUM
cana-3636	324	5	]	]	PUNCT
cana-3636	324	6	ciaburro	ciaburro	PROPN
cana-3636	324	7	,	,	PUNCT
cana-3636	324	8	g.	g.	PROPN
cana-3636	324	9	,	,	PUNCT
cana-3636	324	10	venkateswaran	venkateswaran	VERB
cana-3636	324	11	,	,	PUNCT
cana-3636	324	12	b.	b.	PROPN
cana-3636	324	13	:	:	PUNCT
cana-3636	324	14	neural	neural	ADJ
cana-3636	324	15	networks	network	NOUN
cana-3636	324	16	with	with	ADP
cana-3636	324	17	r	r	NOUN
cana-3636	324	18	:	:	PUNCT
cana-3636	324	19	smart	smart	ADJ
cana-3636	324	20	modelsusing	modelsusing	PROPN
cana-3636	324	21	cnn	cnn	PROPN
cana-3636	324	22	,	,	PUNCT
cana-3636	324	23	rnn	rnn	PROPN
cana-3636	324	24	,	,	PUNCT
cana-3636	324	25	deep	deep	ADJ
cana-3636	324	26	learning	learning	NOUN
cana-3636	324	27	,	,	PUNCT
cana-3636	324	28	and	and	CCONJ
cana-3636	324	29	artificial	artificial	ADJ
cana-3636	324	30	intelligence	intelligence	NOUN
cana-3636	324	31	principles	principle	NOUN
cana-3636	324	32	.	.	PUNCT
cana-3636	325	1	packt	packt	PROPN
cana-3636	325	2	publishing	publishing	PROPN
cana-3636	325	3	ltd	ltd	PROPN
cana-3636	325	4	,	,	PUNCT
cana-3636	325	5	?	?	PUNCT
cana-3636	325	6	?	?	PUNCT
cana-3636	325	7	?	?	PUNCT
cana-3636	326	1	(	(	PUNCT
cana-3636	326	2	2017	2017	NUM
cana-3636	326	3	)	)	PUNCT
cana-3636	327	1	[	[	X
cana-3636	327	2	49	49	NUM
cana-3636	327	3	]	]	X
cana-3636	327	4	cao	cao	PROPN
cana-3636	327	5	,	,	PUNCT
cana-3636	327	6	y.	y.	PROPN
cana-3636	327	7	,	,	PUNCT
cana-3636	327	8	geddes	geddes	PROPN
cana-3636	327	9	,	,	PUNCT
cana-3636	327	10	t.a	t.a	PROPN
cana-3636	327	11	.	.	PROPN
cana-3636	327	12	,	,	PUNCT
cana-3636	327	13	yang	yang	PROPN
cana-3636	327	14	,	,	PUNCT
cana-3636	327	15	j.y.h	j.y.h	PROPN
cana-3636	327	16	.	.	PROPN
cana-3636	327	17	,	,	PUNCT
cana-3636	327	18	yang	yang	PROPN
cana-3636	327	19	,	,	PUNCT
cana-3636	327	20	p.	p.	NOUN
cana-3636	327	21	:	:	PUNCT
cana-3636	327	22	ensemble	ensemble	ADJ
cana-3636	327	23	deep	deep	ADJ
cana-3636	327	24	learning	learning	NOUN
cana-3636	327	25	in	in	ADP
cana-3636	327	26	bioinformatics	bioinformatics	NOUN
cana-3636	327	27	.	.	PUNCT
cana-3636	328	1	nature	nature	NOUN
cana-3636	328	2	machine	machine	NOUN
cana-3636	328	3	intelligence	intelligence	NOUN
cana-3636	328	4	2	2	NUM
cana-3636	328	5	(	(	PUNCT
cana-3636	328	6	9),500–508(2020	9),500–508(2020	NUM
cana-3636	328	7	)	)	PUNCT
cana-3636	329	1	[	[	X
cana-3636	329	2	50	50	NUM
cana-3636	329	3	]	]	SYM
cana-3636	329	4	kahankova	kahankova	PROPN
cana-3636	329	5	,	,	PUNCT
cana-3636	329	6	r.	r.	PROPN
cana-3636	329	7	,	,	PUNCT
cana-3636	329	8	martinek	martinek	ADJ
cana-3636	329	9	,	,	PUNCT
cana-3636	329	10	r.	r.	PROPN
cana-3636	329	11	,	,	PUNCT
cana-3636	329	12	bilik	bilik	NOUN
cana-3636	329	13	,	,	PUNCT
cana-3636	329	14	p.	p.	NOUN
cana-3636	329	15	:	:	PUNCT
cana-3636	329	16	non	non	ADJ
cana-3636	329	17	-	-	ADJ
cana-3636	329	18	invasive	invasive	ADJ
cana-3636	329	19	fetal	fetal	ADJ
cana-3636	329	20	ecg	ecg	PROPN
cana-3636	329	21	extraction	extraction	NOUN
cana-3636	329	22	from	from	ADP
cana-3636	329	23	maternal	maternal	ADJ
cana-3636	329	24	abdominal	abdominal	ADJ
cana-3636	329	25	ecg	ecg	PROPN
cana-3636	329	26	using	use	VERB
cana-3636	329	27	lms	lm	NOUN
cana-3636	329	28	and	and	CCONJ
cana-3636	329	29	rls	rls	PROPN
cana-3636	329	30	adaptive	adaptive	ADJ
cana-3636	329	31	algorithms	algorithm	NOUN
cana-3636	329	32	.	.	PUNCT
cana-3636	330	1	in	in	ADP
cana-3636	330	2	:	:	PUNCT
cana-3636	330	3	international	international	ADJ
cana-3636	330	4	afro	afro	NOUN
cana-3636	330	5	-	-	PUNCT
cana-3636	330	6	european	european	ADJ
cana-3636	330	7	conference	conference	NOUN
cana-3636	330	8	for	for	ADP
cana-3636	330	9	industrial	industrial	ADJ
cana-3636	330	10	advancement	advancement	NOUN
cana-3636	330	11	,	,	PUNCT
cana-3636	330	12	pp.258	pp.258	PROPN
cana-3636	330	13	–	–	PUNCT
cana-3636	330	14	271(2016	271(2016	NUM
cana-3636	330	15	)	)	PUNCT
cana-3636	330	16	.	.	PUNCT
cana-3636	331	1	springer	springer	NOUN
cana-3636	332	1	[	[	X
cana-3636	332	2	51	51	NUM
cana-3636	332	3	]	]	PUNCT
cana-3636	332	4	antczak	antczak	NOUN
cana-3636	332	5	,	,	PUNCT
cana-3636	332	6	k.	k.	PROPN
cana-3636	332	7	:	:	PUNCT
cana-3636	332	8	deep	deep	ADJ
cana-3636	332	9	recurrent	recurrent	ADJ
cana-3636	332	10	neural	neural	ADJ
cana-3636	332	11	networks	network	NOUN
cana-3636	332	12	for	for	ADP
cana-3636	332	13	ecg	ecg	PROPN
cana-3636	332	14	signal	signal	PROPN
cana-3636	332	15	denoising	denoising	PROPN
cana-3636	332	16	.	.	PUNCT
cana-3636	333	1	arxiv	arxiv	PROPN
cana-3636	333	2	preprint	preprint	NOUN
cana-3636	333	3	arxiv:1807.11551	arxiv:1807.11551	NOUN
cana-3636	333	4	(	(	PUNCT
cana-3636	333	5	2018	2018	NUM
cana-3636	333	6	)	)	PUNCT
cana-3636	334	1	[	[	X
cana-3636	334	2	52	52	NUM
cana-3636	334	3	]	]	SYM
cana-3636	334	4	xiong	xiong	PROPN
cana-3636	334	5	,	,	PUNCT
cana-3636	334	6	p.	p.	PROPN
cana-3636	334	7	,	,	PUNCT
cana-3636	334	8	wang	wang	PROPN
cana-3636	334	9	,	,	PUNCT
cana-3636	334	10	h.	h.	PROPN
cana-3636	334	11	,	,	PUNCT
cana-3636	334	12	liu	liu	PROPN
cana-3636	334	13	,	,	PUNCT
cana-3636	334	14	m.	m.	NOUN
cana-3636	334	15	,	,	PUNCT
cana-3636	334	16	zhou	zhou	PROPN
cana-3636	334	17	,	,	PUNCT
cana-3636	334	18	s.	s.	PROPN
cana-3636	334	19	,	,	PUNCT
cana-3636	334	20	hou	hou	PROPN
cana-3636	334	21	,	,	PUNCT
cana-3636	334	22	z.	z.	PROPN
cana-3636	334	23	,	,	PUNCT
cana-3636	334	24	liu	liu	PROPN
cana-3636	334	25	,	,	PUNCT
cana-3636	334	26	x.	x.	PROPN
cana-3636	334	27	:	:	PUNCT
cana-3636	335	1	ecg	ecg	PROPN
cana-3636	335	2	signal	signal	NOUN
cana-3636	335	3	enhancement	enhancement	NOUN
cana-3636	335	4	based	base	VERB
cana-3636	335	5	on	on	ADP
cana-3636	335	6	improved	improved	ADJ
cana-3636	335	7	denoising	denoise	VERB
cana-3636	335	8	auto	auto	NOUN
cana-3636	335	9	-	-	PUNCT
cana-3636	335	10	encoder	encoder	NOUN
cana-3636	335	11	.	.	PUNCT
cana-3636	336	1	engineering	engineering	NOUN
cana-3636	336	2	applications	application	NOUN
cana-3636	336	3	of	of	ADP
cana-3636	336	4	artificial	artificial	ADJ
cana-3636	336	5	intelligence	intelligence	NOUN
cana-3636	336	6	52	52	NUM
cana-3636	336	7	,	,	PUNCT
cana-3636	336	8	194–202	194–202	NUM
cana-3636	336	9	(	(	PUNCT
cana-3636	336	10	2016	2016	NUM
cana-3636	336	11	)	)	PUNCT