id	sid	tid	token	lemma	pos
cana-665	1	1	communications	communication	NOUN
cana-665	1	2	on	on	ADP
cana-665	1	3	applied	apply	VERB
cana-665	1	4	nonlinear	nonlinear	ADJ
cana-665	1	5	analysis	analysis	NOUN
cana-665	1	6	issn	issn	NOUN
cana-665	1	7	:	:	PUNCT
cana-665	1	8	1074	1074	NUM
cana-665	1	9	-	-	PUNCT
cana-665	1	10	133x	133x	NUM
cana-665	1	11	vol	vol	NOUN
cana-665	1	12	31	31	NUM
cana-665	1	13	no	no	NOUN
cana-665	1	14	.	.	PUNCT
cana-665	2	1	2s	2s	NUM
cana-665	2	2	(	(	PUNCT
cana-665	2	3	2024	2024	NUM
cana-665	2	4	)	)	PUNCT
cana-665	2	5	532	532	NUM
cana-665	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	2	7	integrating	integrate	VERB
cana-665	2	8	morphological	morphological	ADJ
cana-665	2	9	characteristics	characteristic	NOUN
cana-665	2	10	with	with	ADP
cana-665	2	11	empirical	empirical	ADJ
cana-665	2	12	mode	mode	NOUN
cana-665	2	13	decomposition	decomposition	NOUN
cana-665	2	14	for	for	ADP
cana-665	2	15	robust	robust	ADJ
cana-665	2	16	ecg	ecg	PROPN
cana-665	2	17	signal	signal	NOUN
cana-665	2	18	classification	classification	NOUN
cana-665	2	19	achamma	achamma	NOUN
cana-665	2	20	t	t	PROPN
cana-665	2	21	varghese1	varghese1	PROPN
cana-665	2	22	,	,	PUNCT
cana-665	2	23	prasad	prasad	PROPN
cana-665	2	24	lokulwar2	lokulwar2	PROPN
cana-665	2	25	,	,	PUNCT
cana-665	2	26	vibha	vibha	NOUN
cana-665	2	27	bora3	bora3	NOUN
cana-665	2	28	1	1	NUM
cana-665	2	29	research	research	NOUN
cana-665	2	30	scholar	scholar	NOUN
cana-665	2	31	,	,	PUNCT
cana-665	2	32	department	department	NOUN
cana-665	2	33	of	of	ADP
cana-665	2	34	computer	computer	NOUN
cana-665	2	35	science	science	PROPN
cana-665	2	36	&	&	CCONJ
cana-665	2	37	engineering	engineering	PROPN
cana-665	2	38	,	,	PUNCT
cana-665	2	39	g	g	PROPN
cana-665	2	40	h	h	PROPN
cana-665	2	41	raisoni	raisoni	PROPN
cana-665	2	42	unversity	unversity	PROPN
cana-665	2	43	,	,	PUNCT
cana-665	2	44	amravati	amravati	PROPN
cana-665	2	45	,	,	PUNCT
cana-665	2	46	maharashtra	maharashtra	PROPN
cana-665	2	47	,	,	PUNCT
cana-665	2	48	india	india	PROPN
cana-665	2	49	2	2	NUM
cana-665	2	50	professor	professor	NOUN
cana-665	2	51	,	,	PUNCT
cana-665	2	52	department	department	NOUN
cana-665	2	53	of	of	ADP
cana-665	2	54	computer	computer	NOUN
cana-665	2	55	science	science	PROPN
cana-665	2	56	&	&	CCONJ
cana-665	2	57	engineering	engineering	PROPN
cana-665	2	58	,	,	PUNCT
cana-665	2	59	g	g	PROPN
cana-665	2	60	h	h	PROPN
cana-665	2	61	raisoni	raisoni	PROPN
cana-665	2	62	college	college	PROPN
cana-665	2	63	of	of	ADP
cana-665	2	64	engineering	engineering	PROPN
cana-665	2	65	,	,	PUNCT
cana-665	2	66	nagpur	nagpur	PROPN
cana-665	2	67	,	,	PUNCT
cana-665	2	68	maharashtra	maharashtra	PROPN
cana-665	2	69	,	,	PUNCT
cana-665	2	70	india	india	PROPN
cana-665	2	71	3	3	NUM
cana-665	2	72	professor	professor	NOUN
cana-665	2	73	,	,	PUNCT
cana-665	2	74	department	department	NOUN
cana-665	2	75	of	of	ADP
cana-665	2	76	electronics	electronics	PROPN
cana-665	2	77	engineering	engineering	NOUN
cana-665	2	78	,	,	PUNCT
cana-665	2	79	g	g	PROPN
cana-665	2	80	h	h	PROPN
cana-665	2	81	raisoni	raisoni	PROPN
cana-665	2	82	college	college	PROPN
cana-665	2	83	of	of	ADP
cana-665	2	84	engineering	engineering	PROPN
cana-665	2	85	,	,	PUNCT
cana-665	2	86	nagpur	nagpur	PROPN
cana-665	2	87	,	,	PUNCT
cana-665	2	88	maharashtra	maharashtra	PROPN
cana-665	2	89	,	,	PUNCT
cana-665	2	90	india	india	PROPN
cana-665	2	91	corresponding	corresponding	PROPN
cana-665	2	92	author	author	NOUN
cana-665	2	93	:	:	PUNCT
cana-665	2	94	achamma	achamma	PROPN
cana-665	2	95	thomas	thomas	PROPN
cana-665	2	96	email	email	NOUN
cana-665	2	97	:	:	PUNCT
cana-665	2	98	achamma.thomas@raisoni	achamma.thomas@raisoni	NUM
cana-665	2	99	article	article	NOUN
cana-665	2	100	history	history	NOUN
cana-665	2	101	:	:	PUNCT
cana-665	2	102	received	receive	VERB
cana-665	2	103	:	:	PUNCT
cana-665	2	104	27	27	NUM
cana-665	2	105	-	-	SYM
cana-665	2	106	03	03	NUM
cana-665	2	107	-	-	PUNCT
cana-665	2	108	2024	2024	NUM
cana-665	2	109	revised	revise	VERB
cana-665	2	110	:	:	PUNCT
cana-665	2	111	12	12	NUM
cana-665	2	112	-	-	SYM
cana-665	2	113	05	05	NUM
cana-665	2	114	-	-	PUNCT
cana-665	2	115	2024	2024	NUM
cana-665	2	116	accepted	accept	VERB
cana-665	2	117	:	:	PUNCT
cana-665	2	118	24	24	NUM
cana-665	2	119	-	-	PUNCT
cana-665	2	120	05	05	NUM
cana-665	2	121	-	-	PUNCT
cana-665	2	122	2024	2024	NUM
cana-665	2	123	abstract	abstract	NOUN
cana-665	2	124	:	:	PUNCT
cana-665	3	1	hyperkalemia	hyperkalemia	NOUN
cana-665	3	2	,	,	PUNCT
cana-665	3	3	a	a	DET
cana-665	3	4	critical	critical	ADJ
cana-665	3	5	concern	concern	NOUN
cana-665	3	6	,	,	PUNCT
cana-665	3	7	is	be	AUX
cana-665	3	8	the	the	DET
cana-665	3	9	primary	primary	ADJ
cana-665	3	10	cause	cause	NOUN
cana-665	3	11	of	of	ADP
cana-665	3	12	sudden	sudden	ADJ
cana-665	3	13	cardiac	cardiac	ADJ
cana-665	3	14	deaths	death	NOUN
cana-665	3	15	in	in	ADP
cana-665	3	16	patients	patient	NOUN
cana-665	3	17	with	with	ADP
cana-665	3	18	chronic	chronic	ADJ
cana-665	3	19	kidney	kidney	NOUN
cana-665	3	20	disease	disease	NOUN
cana-665	3	21	(	(	PUNCT
cana-665	3	22	ckd	ckd	PROPN
cana-665	3	23	)	)	PUNCT
cana-665	3	24	.	.	PUNCT
cana-665	4	1	traditionally	traditionally	ADV
cana-665	4	2	,	,	PUNCT
cana-665	4	3	blood	blood	NOUN
cana-665	4	4	tests	test	NOUN
cana-665	4	5	serve	serve	VERB
cana-665	4	6	as	as	ADP
cana-665	4	7	the	the	DET
cana-665	4	8	gold	gold	ADJ
cana-665	4	9	standard	standard	NOUN
cana-665	4	10	for	for	ADP
cana-665	4	11	hyperkalemia	hyperkalemia	NOUN
cana-665	4	12	detection	detection	NOUN
cana-665	4	13	.	.	PUNCT
cana-665	5	1	electrocardiogram	electrocardiogram	NOUN
cana-665	5	2	(	(	PUNCT
cana-665	5	3	ecg	ecg	PROPN
cana-665	5	4	)	)	PUNCT
cana-665	5	5	signals	signal	NOUN
cana-665	5	6	offer	offer	VERB
cana-665	5	7	a	a	DET
cana-665	5	8	non	non	ADJ
cana-665	5	9	-	-	ADJ
cana-665	5	10	invasive	invasive	ADJ
cana-665	5	11	means	mean	NOUN
cana-665	5	12	to	to	PART
cana-665	5	13	assess	assess	VERB
cana-665	5	14	cardiac	cardiac	ADJ
cana-665	5	15	activity	activity	NOUN
cana-665	5	16	and	and	CCONJ
cana-665	5	17	identify	identify	VERB
cana-665	5	18	hyperkalemia	hyperkalemia	NOUN
cana-665	5	19	in	in	ADP
cana-665	5	20	ckd	ckd	PROPN
cana-665	5	21	patients	patient	NOUN
cana-665	5	22	.	.	PUNCT
cana-665	6	1	hyperkalemia	hyperkalemia	NOUN
cana-665	6	2	often	often	ADV
cana-665	6	3	presents	present	VERB
cana-665	6	4	ecg	ecg	PROPN
cana-665	6	5	changes	change	NOUN
cana-665	6	6	such	such	ADJ
cana-665	6	7	as	as	ADP
cana-665	6	8	elevated	elevate	VERB
cana-665	6	9	t	t	NOUN
cana-665	6	10	-	-	PUNCT
cana-665	6	11	waves	wave	NOUN
cana-665	6	12	,	,	PUNCT
cana-665	6	13	changes	change	NOUN
cana-665	6	14	in	in	ADP
cana-665	6	15	p	p	ADJ
cana-665	6	16	-	-	PUNCT
cana-665	6	17	wave	wave	NOUN
cana-665	6	18	morphology	morphology	NOUN
cana-665	6	19	,	,	PUNCT
cana-665	6	20	prolonged	prolong	VERB
cana-665	6	21	pr	pr	NOUN
cana-665	6	22	intervals	interval	NOUN
cana-665	6	23	,	,	PUNCT
cana-665	6	24	widened	widen	VERB
cana-665	6	25	qrs	qrs	NOUN
cana-665	6	26	complexes	complex	NOUN
cana-665	6	27	,	,	PUNCT
cana-665	6	28	and	and	CCONJ
cana-665	6	29	,	,	PUNCT
cana-665	6	30	in	in	ADP
cana-665	6	31	severe	severe	ADJ
cana-665	6	32	instances	instance	NOUN
cana-665	6	33	,	,	PUNCT
cana-665	6	34	the	the	DET
cana-665	6	35	onset	onset	NOUN
cana-665	6	36	of	of	ADP
cana-665	6	37	ventricular	ventricular	ADJ
cana-665	6	38	arrhythmias	arrhythmia	NOUN
cana-665	6	39	and	and	CCONJ
cana-665	6	40	sinusoidal	sinusoidal	ADJ
cana-665	6	41	waves	wave	NOUN
cana-665	6	42	.	.	PUNCT
cana-665	7	1	this	this	DET
cana-665	7	2	study	study	NOUN
cana-665	7	3	proposes	propose	VERB
cana-665	7	4	a	a	DET
cana-665	7	5	method	method	NOUN
cana-665	7	6	for	for	ADP
cana-665	7	7	the	the	DET
cana-665	7	8	classification	classification	NOUN
cana-665	7	9	of	of	ADP
cana-665	7	10	ecg	ecg	PROPN
cana-665	7	11	signals	signal	NOUN
cana-665	7	12	for	for	ADP
cana-665	7	13	hyperkalaemia	hyperkalaemia	NOUN
cana-665	7	14	using	use	VERB
cana-665	7	15	a	a	DET
cana-665	7	16	feature	feature	NOUN
cana-665	7	17	set	set	VERB
cana-665	7	18	extracted	extract	VERB
cana-665	7	19	from	from	ADP
cana-665	7	20	electrocardiogram	electrocardiogram	NOUN
cana-665	7	21	(	(	PUNCT
cana-665	7	22	ecg	ecg	PROPN
cana-665	7	23	)	)	PUNCT
cana-665	7	24	signals	signal	NOUN
cana-665	7	25	.	.	PUNCT
cana-665	8	1	our	our	PRON
cana-665	8	2	approach	approach	NOUN
cana-665	8	3	integrates	integrate	VERB
cana-665	8	4	morphological	morphological	ADJ
cana-665	8	5	attributes	attribute	NOUN
cana-665	8	6	,	,	PUNCT
cana-665	8	7	including	include	VERB
cana-665	8	8	p	p	ADJ
cana-665	8	9	-	-	PUNCT
cana-665	8	10	wave	wave	NOUN
cana-665	8	11	amplitude	amplitude	NOUN
cana-665	8	12	,	,	PUNCT
cana-665	8	13	t	t	NOUN
cana-665	8	14	-	-	PUNCT
cana-665	8	15	wave	wave	NOUN
cana-665	8	16	amplitude	amplitude	NOUN
cana-665	8	17	,	,	PUNCT
cana-665	8	18	qrs	qrs	PROPN
cana-665	8	19	interval	interval	NOUN
cana-665	8	20	,	,	PUNCT
cana-665	8	21	pr	pr	NOUN
cana-665	8	22	interval	interval	NOUN
cana-665	8	23	,	,	PUNCT
cana-665	8	24	and	and	CCONJ
cana-665	8	25	st	st	PROPN
cana-665	8	26	depression	depression	NOUN
cana-665	8	27	,	,	PUNCT
cana-665	8	28	with	with	ADP
cana-665	8	29	spectral	spectral	ADJ
cana-665	8	30	attributes	attribute	NOUN
cana-665	8	31	such	such	ADJ
cana-665	8	32	as	as	ADP
cana-665	8	33	total	total	ADJ
cana-665	8	34	power	power	NOUN
cana-665	8	35	,	,	PUNCT
cana-665	8	36	spectral	spectral	ADJ
cana-665	8	37	entropy	entropy	PROPN
cana-665	8	38	,	,	PUNCT
cana-665	8	39	variance	variance	NOUN
cana-665	8	40	,	,	PUNCT
cana-665	8	41	skewness	skewness	NOUN
cana-665	8	42	,	,	PUNCT
cana-665	8	43	and	and	CCONJ
cana-665	8	44	singular	singular	ADJ
cana-665	8	45	values	value	NOUN
cana-665	8	46	extracted	extract	VERB
cana-665	8	47	from	from	ADP
cana-665	8	48	intrinsic	intrinsic	ADJ
cana-665	8	49	mode	mode	NOUN
cana-665	8	50	functions	function	NOUN
cana-665	8	51	obtained	obtain	VERB
cana-665	8	52	through	through	ADP
cana-665	8	53	empirical	empirical	ADJ
cana-665	8	54	mode	mode	NOUN
cana-665	8	55	decomposition	decomposition	NOUN
cana-665	8	56	.	.	PUNCT
cana-665	9	1	,	,	PUNCT
cana-665	9	2	aiming	aim	VERB
cana-665	9	3	to	to	PART
cana-665	9	4	capture	capture	VERB
cana-665	9	5	both	both	DET
cana-665	9	6	structural	structural	ADJ
cana-665	9	7	and	and	CCONJ
cana-665	9	8	frequency	frequency	NOUN
cana-665	9	9	domain	domain	NOUN
cana-665	9	10	information	information	NOUN
cana-665	9	11	inherent	inherent	ADJ
cana-665	9	12	in	in	ADP
cana-665	9	13	ecg	ecg	PROPN
cana-665	9	14	signals	signal	NOUN
cana-665	9	15	.	.	PUNCT
cana-665	10	1	morphological	morphological	ADJ
cana-665	10	2	features	feature	NOUN
cana-665	10	3	provide	provide	VERB
cana-665	10	4	insights	insight	NOUN
cana-665	10	5	into	into	ADP
cana-665	10	6	cardiac	cardiac	ADJ
cana-665	10	7	abnormalities	abnormality	NOUN
cana-665	10	8	associated	associate	VERB
cana-665	10	9	with	with	ADP
cana-665	10	10	hyperkalemia	hyperkalemia	NOUN
cana-665	10	11	and	and	CCONJ
cana-665	10	12	spectral	spectral	ADJ
cana-665	10	13	features	feature	NOUN
cana-665	10	14	extracted	extract	VERB
cana-665	10	15	from	from	ADP
cana-665	10	16	imf	imf	PROPN
cana-665	10	17	,	,	PUNCT
cana-665	10	18	offer	offer	VERB
cana-665	10	19	valuable	valuable	ADJ
cana-665	10	20	information	information	NOUN
cana-665	10	21	regarding	regard	VERB
cana-665	10	22	the	the	DET
cana-665	10	23	frequency	frequency	NOUN
cana-665	10	24	distribution	distribution	NOUN
cana-665	10	25	and	and	CCONJ
cana-665	10	26	complexity	complexity	NOUN
cana-665	10	27	of	of	ADP
cana-665	10	28	ecg	ecg	PROPN
cana-665	10	29	signals	signal	NOUN
cana-665	10	30	.	.	PUNCT
cana-665	11	1	the	the	DET
cana-665	11	2	performance	performance	NOUN
cana-665	11	3	of	of	ADP
cana-665	11	4	three	three	NUM
cana-665	11	5	classifiers	classifier	NOUN
cana-665	11	6	—	—	PUNCT
cana-665	11	7	kernel	kernel	PROPN
cana-665	11	8	naïve	naïve	ADJ
cana-665	11	9	bayes	bayes	PROPN
cana-665	11	10	(	(	PUNCT
cana-665	11	11	knb	knb	PROPN
cana-665	11	12	)	)	PUNCT
cana-665	11	13	,	,	PUNCT
cana-665	11	14	adaboost	adaboost	ADJ
cana-665	11	15	ensemble	ensemble	ADJ
cana-665	11	16	classifier	classifier	NOUN
cana-665	11	17	,	,	PUNCT
cana-665	11	18	and	and	CCONJ
cana-665	11	19	artificial	artificial	ADJ
cana-665	11	20	neural	neural	ADJ
cana-665	11	21	networks	network	NOUN
cana-665	11	22	(	(	PUNCT
cana-665	11	23	ann	ann	PROPN
cana-665	11	24	)	)	PUNCT
cana-665	11	25	is	be	AUX
cana-665	11	26	assessed	assess	VERB
cana-665	11	27	using	use	VERB
cana-665	11	28	the	the	DET
cana-665	11	29	extracted	extract	VERB
cana-665	11	30	features	feature	NOUN
cana-665	11	31	.	.	PUNCT
cana-665	12	1	among	among	ADP
cana-665	12	2	these	these	DET
cana-665	12	3	classifiers	classifier	NOUN
cana-665	12	4	,	,	PUNCT
cana-665	12	5	adaboost	adaboost	ADV
cana-665	12	6	ensemble	ensemble	ADJ
cana-665	12	7	classifier	classifier	NOUN
cana-665	12	8	demonstrated	demonstrate	VERB
cana-665	12	9	the	the	DET
cana-665	12	10	most	most	ADV
cana-665	12	11	favorable	favorable	ADJ
cana-665	12	12	classification	classification	NOUN
cana-665	12	13	results	result	NOUN
cana-665	12	14	with	with	ADP
cana-665	12	15	sensitivity	sensitivity	NOUN
cana-665	12	16	of	of	ADP
cana-665	12	17	97.7	97.7	NUM
cana-665	12	18	,	,	PUNCT
cana-665	12	19	specificity	specificity	NOUN
cana-665	12	20	of	of	ADP
cana-665	12	21	98.84	98.84	NUM
cana-665	12	22	and	and	CCONJ
cana-665	12	23	accuracy	accuracy	NOUN
cana-665	12	24	of	of	ADP
cana-665	12	25	98.3	98.3	NUM
cana-665	12	26	%	%	NOUN
cana-665	12	27	.	.	PUNCT
cana-665	13	1	these	these	DET
cana-665	13	2	findings	finding	NOUN
cana-665	13	3	align	align	VERB
cana-665	13	4	with	with	ADP
cana-665	13	5	existing	exist	VERB
cana-665	13	6	state	state	NOUN
cana-665	13	7	-	-	PUNCT
cana-665	13	8	of	of	ADP
cana-665	13	9	-	-	PUNCT
cana-665	13	10	the	the	DET
cana-665	13	11	-	-	PUNCT
cana-665	13	12	art	art	NOUN
cana-665	13	13	approaches	approach	NOUN
cana-665	13	14	for	for	ADP
cana-665	13	15	hyperkalemia	hyperkalemia	ADJ
cana-665	13	16	classification	classification	NOUN
cana-665	13	17	.	.	PUNCT
cana-665	14	1	keywords	keyword	NOUN
cana-665	14	2	:	:	PUNCT
cana-665	14	3	potassium	potassium	NOUN
cana-665	14	4	imbalance	imbalance	NOUN
cana-665	14	5	,	,	PUNCT
cana-665	14	6	hyperkalemia	hyperkalemia	NOUN
cana-665	14	7	,	,	PUNCT
cana-665	14	8	machine	machine	NOUN
cana-665	14	9	learning	learning	NOUN
cana-665	14	10	,	,	PUNCT
cana-665	14	11	chronic	chronic	ADJ
cana-665	14	12	kidney	kidney	NOUN
cana-665	14	13	disease	disease	NOUN
cana-665	14	14	,	,	PUNCT
cana-665	14	15	ecg	ecg	PROPN
cana-665	14	16	.	.	PROPN
cana-665	14	17	1	1	NUM
cana-665	14	18	.	.	PUNCT
cana-665	14	19	introduction	introduction	NOUN
cana-665	14	20	chronic	chronic	ADJ
cana-665	14	21	kidney	kidney	NOUN
cana-665	14	22	disease	disease	NOUN
cana-665	14	23	(	(	PUNCT
cana-665	14	24	ckd	ckd	NOUN
cana-665	14	25	)	)	PUNCT
cana-665	14	26	is	be	AUX
cana-665	14	27	a	a	DET
cana-665	14	28	pervasive	pervasive	ADJ
cana-665	14	29	health	health	NOUN
cana-665	14	30	issue	issue	NOUN
cana-665	14	31	with	with	ADP
cana-665	14	32	far	far	ADV
cana-665	14	33	-	-	PUNCT
cana-665	14	34	reaching	reach	VERB
cana-665	14	35	implications	implication	NOUN
cana-665	14	36	,	,	PUNCT
cana-665	14	37	often	often	ADV
cana-665	14	38	compounded	compound	VERB
cana-665	14	39	by	by	ADP
cana-665	14	40	complications	complication	NOUN
cana-665	14	41	such	such	ADJ
cana-665	14	42	as	as	ADP
cana-665	14	43	hyperkalemia	hyperkalemia	NOUN
cana-665	14	44	.	.	PUNCT
cana-665	15	1	hyperkalemia	hyperkalemia	NOUN
cana-665	15	2	,	,	PUNCT
cana-665	15	3	characterized	characterize	VERB
cana-665	15	4	by	by	ADP
cana-665	15	5	elevated	elevated	ADJ
cana-665	15	6	levels	level	NOUN
cana-665	15	7	of	of	ADP
cana-665	15	8	potassium	potassium	NOUN
cana-665	15	9	in	in	ADP
cana-665	15	10	the	the	DET
cana-665	15	11	bloodstream	bloodstream	NOUN
cana-665	15	12	,	,	PUNCT
cana-665	15	13	poses	pose	VERB
cana-665	15	14	a	a	DET
cana-665	15	15	significant	significant	ADJ
cana-665	15	16	threat	threat	NOUN
cana-665	15	17	to	to	ADP
cana-665	15	18	patients	patient	NOUN
cana-665	15	19	with	with	ADP
cana-665	15	20	ckd	ckd	PROPN
cana-665	15	21	,	,	PUNCT
cana-665	15	22	as	as	SCONJ
cana-665	15	23	it	it	PRON
cana-665	15	24	is	be	AUX
cana-665	15	25	a	a	DET
cana-665	15	26	leading	lead	VERB
cana-665	15	27	cause	cause	NOUN
cana-665	15	28	of	of	ADP
cana-665	15	29	sudden	sudden	ADJ
cana-665	15	30	cardiac	cardiac	ADJ
cana-665	15	31	deaths	death	NOUN
cana-665	15	32	within	within	ADP
cana-665	15	33	this	this	DET
cana-665	15	34	population	population	NOUN
cana-665	15	35	.	.	PUNCT
cana-665	16	1	timely	timely	ADJ
cana-665	16	2	detection	detection	NOUN
cana-665	16	3	and	and	CCONJ
cana-665	16	4	monitoring	monitoring	NOUN
cana-665	16	5	of	of	ADP
cana-665	16	6	hyperkalemia	hyperkalemia	NOUN
cana-665	16	7	are	be	AUX
cana-665	16	8	critical	critical	ADJ
cana-665	16	9	for	for	ADP
cana-665	16	10	patient	patient	ADJ
cana-665	16	11	care	care	NOUN
cana-665	16	12	,	,	PUNCT
cana-665	16	13	necessitating	necessitate	VERB
cana-665	16	14	a	a	DET
cana-665	16	15	reliable	reliable	ADJ
cana-665	16	16	diagnostic	diagnostic	ADJ
cana-665	16	17	approach	approach	NOUN
cana-665	16	18	.	.	PUNCT
cana-665	17	1	currently	currently	ADV
cana-665	17	2	,	,	PUNCT
cana-665	17	3	the	the	DET
cana-665	17	4	gold	gold	ADJ
cana-665	17	5	standard	standard	NOUN
cana-665	17	6	for	for	ADP
cana-665	17	7	hyperkalemia	hyperkalemia	NOUN
cana-665	17	8	detection	detection	NOUN
cana-665	17	9	involves	involve	VERB
cana-665	17	10	blood	blood	NOUN
cana-665	17	11	tests	test	NOUN
cana-665	17	12	,	,	PUNCT
cana-665	17	13	yet	yet	CCONJ
cana-665	17	14	the	the	DET
cana-665	17	15	quest	quest	NOUN
cana-665	17	16	for	for	ADP
cana-665	17	17	non	non	ADJ
cana-665	17	18	-	-	ADJ
cana-665	17	19	invasive	invasive	ADJ
cana-665	17	20	,	,	PUNCT
cana-665	17	21	efficient	efficient	ADJ
cana-665	17	22	,	,	PUNCT
cana-665	17	23	and	and	CCONJ
cana-665	17	24	accurate	accurate	ADJ
cana-665	17	25	methodologies	methodology	NOUN
cana-665	17	26	remains	remain	VERB
cana-665	17	27	ongoing	ongoing	ADJ
cana-665	17	28	.	.	PUNCT
cana-665	18	1	communications	communication	NOUN
cana-665	18	2	on	on	ADP
cana-665	18	3	applied	apply	VERB
cana-665	18	4	nonlinear	nonlinear	ADJ
cana-665	18	5	analysis	analysis	NOUN
cana-665	18	6	issn	issn	NOUN
cana-665	18	7	:	:	PUNCT
cana-665	18	8	1074	1074	NUM
cana-665	18	9	-	-	PUNCT
cana-665	18	10	133x	133x	NUM
cana-665	18	11	vol	vol	NOUN
cana-665	18	12	31	31	NUM
cana-665	18	13	no	no	NOUN
cana-665	18	14	.	.	PUNCT
cana-665	19	1	2s	2s	NUM
cana-665	19	2	(	(	PUNCT
cana-665	19	3	2024	2024	NUM
cana-665	19	4	)	)	PUNCT
cana-665	19	5	533	533	NUM
cana-665	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	19	7	electrocardiography	electrocardiography	NOUN
cana-665	19	8	(	(	PUNCT
cana-665	19	9	ecg	ecg	PROPN
cana-665	19	10	)	)	PUNCT
cana-665	19	11	has	have	AUX
cana-665	19	12	long	long	ADV
cana-665	19	13	been	be	AUX
cana-665	19	14	a	a	DET
cana-665	19	15	primary	primary	ADJ
cana-665	19	16	tool	tool	NOUN
cana-665	19	17	for	for	ADP
cana-665	19	18	the	the	DET
cana-665	19	19	diagnosis	diagnosis	NOUN
cana-665	19	20	of	of	ADP
cana-665	19	21	heart	heart	NOUN
cana-665	19	22	disorders	disorder	NOUN
cana-665	19	23	due	due	ADJ
cana-665	19	24	to	to	ADP
cana-665	19	25	its	its	PRON
cana-665	19	26	non	non	ADJ
cana-665	19	27	-	-	ADJ
cana-665	19	28	invasive	invasive	ADJ
cana-665	19	29	nature	nature	NOUN
cana-665	19	30	,	,	PUNCT
cana-665	19	31	affordability	affordability	NOUN
cana-665	19	32	,	,	PUNCT
cana-665	19	33	and	and	CCONJ
cana-665	19	34	widespread	widespread	ADJ
cana-665	19	35	availability	availability	NOUN
cana-665	19	36	.	.	PUNCT
cana-665	20	1	the	the	DET
cana-665	20	2	ecg	ecg	PROPN
cana-665	20	3	signal	signal	NOUN
cana-665	20	4	provides	provide	VERB
cana-665	20	5	a	a	DET
cana-665	20	6	graphical	graphical	ADJ
cana-665	20	7	representation	representation	NOUN
cana-665	20	8	of	of	ADP
cana-665	20	9	the	the	DET
cana-665	20	10	heart	heart	NOUN
cana-665	20	11	's	's	PART
cana-665	20	12	electrical	electrical	ADJ
cana-665	20	13	activity	activity	NOUN
cana-665	20	14	,	,	PUNCT
cana-665	20	15	offering	offer	VERB
cana-665	20	16	insights	insight	NOUN
cana-665	20	17	into	into	ADP
cana-665	20	18	various	various	ADJ
cana-665	20	19	pathological	pathological	ADJ
cana-665	20	20	conditions	condition	NOUN
cana-665	20	21	.	.	PUNCT
cana-665	21	1	by	by	ADP
cana-665	21	2	scrutinizing	scrutinize	VERB
cana-665	21	3	ecg	ecg	PROPN
cana-665	21	4	patterns	pattern	NOUN
cana-665	21	5	,	,	PUNCT
cana-665	21	6	healthcare	healthcare	NOUN
cana-665	21	7	providers	provider	NOUN
cana-665	21	8	can	can	AUX
cana-665	21	9	gain	gain	VERB
cana-665	21	10	insights	insight	NOUN
cana-665	21	11	into	into	ADP
cana-665	21	12	cardiac	cardiac	ADJ
cana-665	21	13	health	health	NOUN
cana-665	21	14	,	,	PUNCT
cana-665	21	15	recognizing	recognize	VERB
cana-665	21	16	signs	sign	NOUN
cana-665	21	17	that	that	PRON
cana-665	21	18	may	may	AUX
cana-665	21	19	have	have	VERB
cana-665	21	20	life	life	NOUN
cana-665	21	21	-	-	PUNCT
cana-665	21	22	saving	save	VERB
cana-665	21	23	implications	implication	NOUN
cana-665	21	24	.	.	PUNCT
cana-665	22	1	hyperkalaemia	hyperkalaemia	NOUN
cana-665	22	2	,	,	PUNCT
cana-665	22	3	characterized	characterize	VERB
cana-665	22	4	by	by	ADP
cana-665	22	5	elevated	elevated	ADJ
cana-665	22	6	potassium	potassium	NOUN
cana-665	22	7	levels	level	NOUN
cana-665	22	8	(	(	PUNCT
cana-665	22	9	>	>	X
cana-665	22	10	5.3meq	5.3meq	NUM
cana-665	22	11	/	/	SYM
cana-665	22	12	l	l	NOUN
cana-665	22	13	)	)	PUNCT
cana-665	22	14	in	in	ADP
cana-665	22	15	the	the	DET
cana-665	22	16	blood	blood	NOUN
cana-665	22	17	,	,	PUNCT
cana-665	22	18	is	be	AUX
cana-665	22	19	one	one	NUM
cana-665	22	20	such	such	ADJ
cana-665	22	21	condition	condition	NOUN
cana-665	22	22	that	that	PRON
cana-665	22	23	leaves	leave	VERB
cana-665	22	24	a	a	DET
cana-665	22	25	distinct	distinct	ADJ
cana-665	22	26	footprint	footprint	NOUN
cana-665	22	27	on	on	ADP
cana-665	22	28	the	the	DET
cana-665	22	29	ecg	ecg	PROPN
cana-665	22	30	waveform	waveform	PROPN
cana-665	22	31	.	.	PUNCT
cana-665	23	1	high	high	ADJ
cana-665	23	2	levels	level	NOUN
cana-665	23	3	of	of	ADP
cana-665	23	4	potassium	potassium	NOUN
cana-665	23	5	can	can	AUX
cana-665	23	6	lead	lead	VERB
cana-665	23	7	to	to	ADP
cana-665	23	8	sudden	sudden	ADJ
cana-665	23	9	cardiac	cardiac	ADJ
cana-665	23	10	deaths	death	NOUN
cana-665	23	11	in	in	ADP
cana-665	23	12	patients	patient	NOUN
cana-665	23	13	suffering	suffer	VERB
cana-665	23	14	from	from	ADP
cana-665	23	15	chronic	chronic	ADJ
cana-665	23	16	kidney	kidney	NOUN
cana-665	23	17	disease	disease	NOUN
cana-665	23	18	[	[	X
cana-665	23	19	1	1	NUM
cana-665	23	20	]	]	PUNCT
cana-665	23	21	.	.	PUNCT
cana-665	24	1	early	early	ADJ
cana-665	24	2	detection	detection	NOUN
cana-665	24	3	of	of	ADP
cana-665	24	4	hyperkalaemia	hyperkalaemia	NOUN
cana-665	24	5	-	-	PUNCT
cana-665	24	6	induced	induce	VERB
cana-665	24	7	ecg	ecg	PROPN
cana-665	24	8	changes	change	NOUN
cana-665	24	9	can	can	AUX
cana-665	24	10	aid	aid	VERB
cana-665	24	11	in	in	ADP
cana-665	24	12	rapid	rapid	ADJ
cana-665	24	13	clinical	clinical	ADJ
cana-665	24	14	intervention	intervention	NOUN
cana-665	24	15	,	,	PUNCT
cana-665	24	16	preventing	prevent	VERB
cana-665	24	17	potential	potential	ADJ
cana-665	24	18	life	life	NOUN
cana-665	24	19	-	-	PUNCT
cana-665	24	20	threatening	threaten	VERB
cana-665	24	21	complications	complication	NOUN
cana-665	24	22	.	.	PUNCT
cana-665	25	1	recent	recent	ADJ
cana-665	25	2	studies	study	NOUN
cana-665	25	3	have	have	AUX
cana-665	25	4	utilized	utilize	VERB
cana-665	25	5	deep	deep	ADJ
cana-665	25	6	learning	learning	NOUN
cana-665	25	7	models	model	NOUN
cana-665	25	8	[	[	X
cana-665	25	9	2	2	X
cana-665	25	10	]	]	X
cana-665	26	1	[	[	X
cana-665	26	2	3	3	X
cana-665	26	3	]	]	X
cana-665	26	4	[	[	X
cana-665	26	5	4	4	X
cana-665	26	6	]	]	X
cana-665	26	7	[	[	X
cana-665	26	8	5	5	NUM
cana-665	26	9	]	]	PUNCT
cana-665	26	10	to	to	PART
cana-665	26	11	classify	classify	VERB
cana-665	26	12	between	between	ADP
cana-665	26	13	normal	normal	ADJ
cana-665	26	14	and	and	CCONJ
cana-665	26	15	hyperkalaemia	hyperkalaemia	NOUN
cana-665	26	16	classes	class	NOUN
cana-665	26	17	.	.	PUNCT
cana-665	27	1	deep	deep	ADJ
cana-665	27	2	learning	learning	NOUN
cana-665	27	3	models	model	NOUN
cana-665	27	4	require	require	VERB
cana-665	27	5	vast	vast	ADJ
cana-665	27	6	amounts	amount	NOUN
cana-665	27	7	of	of	ADP
cana-665	27	8	data	datum	NOUN
cana-665	27	9	to	to	PART
cana-665	27	10	train	train	VERB
cana-665	27	11	effectively	effectively	ADV
cana-665	27	12	without	without	ADP
cana-665	27	13	over	over	ADV
cana-665	27	14	-	-	PUNCT
cana-665	27	15	fitting	fitting	NOUN
cana-665	27	16	.	.	PUNCT
cana-665	28	1	model	model	NOUN
cana-665	28	2	explainability	explainability	NOUN
cana-665	28	3	also	also	ADV
cana-665	28	4	poses	pose	VERB
cana-665	28	5	a	a	DET
cana-665	28	6	significant	significant	ADJ
cana-665	28	7	concern	concern	NOUN
cana-665	28	8	in	in	ADP
cana-665	28	9	the	the	DET
cana-665	28	10	context	context	NOUN
cana-665	28	11	of	of	ADP
cana-665	28	12	deep	deep	ADJ
cana-665	28	13	learning	learning	NOUN
cana-665	28	14	models	model	NOUN
cana-665	28	15	[	[	X
cana-665	28	16	3	3	NUM
cana-665	28	17	]	]	PUNCT
cana-665	28	18	.	.	PUNCT
cana-665	29	1	given	give	VERB
cana-665	29	2	the	the	DET
cana-665	29	3	limited	limited	ADJ
cana-665	29	4	size	size	NOUN
cana-665	29	5	of	of	ADP
cana-665	29	6	our	our	PRON
cana-665	29	7	dataset	dataset	NOUN
cana-665	29	8	,	,	PUNCT
cana-665	29	9	we	we	PRON
cana-665	29	10	opted	opt	VERB
cana-665	29	11	for	for	ADP
cana-665	29	12	machine	machine	NOUN
cana-665	29	13	learning	learn	VERB
cana-665	29	14	approach	approach	NOUN
cana-665	29	15	over	over	ADP
cana-665	29	16	deep	deep	ADJ
cana-665	29	17	learning	learning	NOUN
cana-665	29	18	techniques	technique	NOUN
cana-665	29	19	.	.	PUNCT
cana-665	30	1	feature	feature	NOUN
cana-665	30	2	extraction	extraction	NOUN
cana-665	30	3	plays	play	VERB
cana-665	30	4	a	a	DET
cana-665	30	5	very	very	ADV
cana-665	30	6	important	important	ADJ
cana-665	30	7	role	role	NOUN
cana-665	30	8	in	in	ADP
cana-665	30	9	machine	machine	NOUN
cana-665	30	10	learning	learning	NOUN
cana-665	30	11	.	.	PUNCT
cana-665	31	1	many	many	ADJ
cana-665	31	2	feature	feature	NOUN
cana-665	31	3	extraction	extraction	NOUN
cana-665	31	4	techniques	technique	NOUN
cana-665	31	5	have	have	AUX
cana-665	31	6	been	be	AUX
cana-665	31	7	adopted	adopt	VERB
cana-665	31	8	in	in	ADP
cana-665	31	9	literature	literature	NOUN
cana-665	31	10	for	for	ADP
cana-665	31	11	ecg	ecg	PROPN
cana-665	31	12	signal	signal	PROPN
cana-665	31	13	classification	classification	NOUN
cana-665	31	14	.	.	PUNCT
cana-665	32	1	morphological	morphological	ADJ
cana-665	32	2	features	feature	NOUN
cana-665	32	3	[	[	X
cana-665	32	4	6	6	NUM
cana-665	32	5	]	]	PUNCT
cana-665	32	6	,	,	PUNCT
cana-665	32	7	derived	derive	VERB
cana-665	32	8	from	from	ADP
cana-665	32	9	the	the	DET
cana-665	32	10	intricate	intricate	ADJ
cana-665	32	11	shapes	shape	NOUN
cana-665	32	12	and	and	CCONJ
cana-665	32	13	patterns	pattern	NOUN
cana-665	32	14	within	within	ADP
cana-665	32	15	the	the	DET
cana-665	32	16	ecg	ecg	PROPN
cana-665	32	17	waveform	waveform	NOUN
cana-665	32	18	,	,	PUNCT
cana-665	32	19	can	can	AUX
cana-665	32	20	be	be	AUX
cana-665	32	21	highly	highly	ADV
cana-665	32	22	indicative	indicative	ADJ
cana-665	32	23	of	of	ADP
cana-665	32	24	various	various	ADJ
cana-665	32	25	cardiac	cardiac	ADJ
cana-665	32	26	anomalies	anomaly	NOUN
cana-665	32	27	.	.	PUNCT
cana-665	33	1	in	in	ADP
cana-665	33	2	another	another	DET
cana-665	33	3	study	study	NOUN
cana-665	33	4	a	a	DET
cana-665	33	5	single	single	ADJ
cana-665	33	6	lead	lead	NOUN
cana-665	33	7	ecg	ecg	PROPN
cana-665	33	8	connected	connect	VERB
cana-665	33	9	to	to	ADP
cana-665	33	10	smart	smart	ADJ
cana-665	33	11	phone	phone	NOUN
cana-665	33	12	was	be	AUX
cana-665	33	13	employed	employ	VERB
cana-665	33	14	to	to	PART
cana-665	33	15	estimate	estimate	VERB
cana-665	33	16	blood	blood	NOUN
cana-665	33	17	potassium	potassium	NOUN
cana-665	33	18	in	in	ADP
cana-665	33	19	patients	patient	NOUN
cana-665	33	20	undergoing	undergo	VERB
cana-665	33	21	haemodialysis	haemodialysis	NOUN
cana-665	33	22	with	with	ADP
cana-665	33	23	an	an	DET
cana-665	33	24	error	error	NOUN
cana-665	33	25	of	of	ADP
cana-665	33	26	9	9	NUM
cana-665	33	27	%	%	NOUN
cana-665	33	28	[	[	X
cana-665	33	29	7	7	NUM
cana-665	33	30	]	]	PUNCT
cana-665	33	31	.	.	PUNCT
cana-665	34	1	although	although	SCONJ
cana-665	34	2	this	this	DET
cana-665	34	3	study	study	NOUN
cana-665	34	4	focussed	focusse	VERB
cana-665	34	5	on	on	ADP
cana-665	34	6	t	t	PROPN
cana-665	34	7	wave	wave	NOUN
cana-665	34	8	,	,	PUNCT
cana-665	34	9	t	t	PROPN
cana-665	34	10	wave	wave	NOUN
cana-665	34	11	amplitude	amplitude	NOUN
cana-665	34	12	,	,	PUNCT
cana-665	34	13	t	t	PROPN
cana-665	34	14	wave	wave	NOUN
cana-665	34	15	duration	duration	NOUN
cana-665	34	16	as	as	SCONJ
cana-665	34	17	the	the	DET
cana-665	34	18	extracted	extract	VERB
cana-665	34	19	features	feature	VERB
cana-665	34	20	the	the	DET
cana-665	34	21	specific	specific	ADJ
cana-665	34	22	methodology	methodology	NOUN
cana-665	34	23	for	for	ADP
cana-665	34	24	feature	feature	NOUN
cana-665	34	25	extraction	extraction	NOUN
cana-665	34	26	remains	remain	VERB
cana-665	34	27	undisclosed	undisclosed	ADJ
cana-665	34	28	.	.	PUNCT
cana-665	35	1	a	a	DET
cana-665	35	2	computational	computational	ADJ
cana-665	35	3	model	model	NOUN
cana-665	35	4	based	base	VERB
cana-665	35	5	on	on	ADP
cana-665	35	6	quadratic	quadratic	ADJ
cana-665	35	7	estimator	estimator	NOUN
cana-665	35	8	was	be	AUX
cana-665	35	9	developed	develop	VERB
cana-665	35	10	to	to	PART
cana-665	35	11	quantify	quantify	VERB
cana-665	35	12	potassium	potassium	NOUN
cana-665	35	13	levels	level	NOUN
cana-665	35	14	from	from	ADP
cana-665	35	15	ecg	ecg	PROPN
cana-665	35	16	based	base	VERB
cana-665	35	17	on	on	ADP
cana-665	35	18	digital	digital	ADJ
cana-665	35	19	analysis	analysis	NOUN
cana-665	35	20	of	of	ADP
cana-665	35	21	twave	twave	NOUN
cana-665	35	22	[	[	X
cana-665	35	23	8	8	NUM
cana-665	35	24	]	]	PUNCT
cana-665	35	25	.	.	PUNCT
cana-665	36	1	furthermore	furthermore	ADV
cana-665	36	2	,	,	PUNCT
cana-665	36	3	an	an	DET
cana-665	36	4	investigation	investigation	NOUN
cana-665	36	5	involving	involve	VERB
cana-665	36	6	12	12	NUM
cana-665	36	7	features	feature	NOUN
cana-665	36	8	derived	derive	VERB
cana-665	36	9	from	from	ADP
cana-665	36	10	the	the	DET
cana-665	36	11	slope	slope	NOUN
cana-665	36	12	,	,	PUNCT
cana-665	36	13	amplitude	amplitude	NOUN
cana-665	36	14	,	,	PUNCT
cana-665	36	15	and	and	CCONJ
cana-665	36	16	area	area	NOUN
cana-665	36	17	of	of	ADP
cana-665	36	18	t	t	PROPN
cana-665	36	19	,	,	PUNCT
cana-665	36	20	r	r	NOUN
cana-665	36	21	,	,	PUNCT
cana-665	36	22	and	and	CCONJ
cana-665	36	23	s	s	VERB
cana-665	36	24	waves	wave	NOUN
cana-665	36	25	from	from	ADP
cana-665	36	26	leads	lead	VERB
cana-665	36	27	v2	v2	PROPN
cana-665	36	28	-	-	PUNCT
cana-665	36	29	v5	v5	PROPN
cana-665	36	30	was	be	AUX
cana-665	36	31	used	use	VERB
cana-665	36	32	to	to	PART
cana-665	36	33	predict	predict	VERB
cana-665	36	34	hyperkalemia	hyperkalemia	NOUN
cana-665	36	35	with	with	ADP
cana-665	36	36	the	the	DET
cana-665	36	37	assistance	assistance	NOUN
cana-665	36	38	of	of	ADP
cana-665	36	39	machine	machine	NOUN
cana-665	36	40	learning	learning	NOUN
cana-665	36	41	models	model	NOUN
cana-665	36	42	[	[	X
cana-665	36	43	9].the	9].the	DET
cana-665	36	44	accurate	accurate	ADJ
cana-665	36	45	extraction	extraction	NOUN
cana-665	36	46	of	of	ADP
cana-665	36	47	these	these	DET
cana-665	36	48	morphological	morphological	ADJ
cana-665	36	49	features	feature	NOUN
cana-665	36	50	is	be	AUX
cana-665	36	51	dependent	dependent	ADJ
cana-665	36	52	upon	upon	SCONJ
cana-665	36	53	the	the	DET
cana-665	36	54	quality	quality	NOUN
cana-665	36	55	and	and	CCONJ
cana-665	36	56	consistency	consistency	NOUN
cana-665	36	57	of	of	ADP
cana-665	36	58	the	the	DET
cana-665	36	59	ecg	ecg	PROPN
cana-665	36	60	recordings	recording	NOUN
cana-665	36	61	and	and	CCONJ
cana-665	36	62	the	the	DET
cana-665	36	63	algorithms	algorithm	NOUN
cana-665	36	64	being	be	AUX
cana-665	36	65	used	use	VERB
cana-665	36	66	to	to	PART
cana-665	36	67	extract	extract	VERB
cana-665	36	68	it	it	PRON
cana-665	36	69	.	.	PUNCT
cana-665	37	1	any	any	DET
cana-665	37	2	slight	slight	ADJ
cana-665	37	3	distortion	distortion	NOUN
cana-665	37	4	,	,	PUNCT
cana-665	37	5	noise	noise	NOUN
cana-665	37	6	,	,	PUNCT
cana-665	37	7	or	or	CCONJ
cana-665	37	8	variability	variability	NOUN
cana-665	37	9	in	in	ADP
cana-665	37	10	the	the	DET
cana-665	37	11	waveform	waveform	NOUN
cana-665	37	12	can	can	AUX
cana-665	37	13	lead	lead	VERB
cana-665	37	14	to	to	ADP
cana-665	37	15	inaccuracies	inaccuracy	NOUN
cana-665	37	16	in	in	ADP
cana-665	37	17	feature	feature	NOUN
cana-665	37	18	extraction	extraction	NOUN
cana-665	37	19	,	,	PUNCT
cana-665	37	20	which	which	PRON
cana-665	37	21	can	can	AUX
cana-665	37	22	subsequently	subsequently	ADV
cana-665	37	23	mislead	mislead	VERB
cana-665	37	24	and	and	CCONJ
cana-665	37	25	negatively	negatively	ADV
cana-665	37	26	influence	influence	VERB
cana-665	37	27	the	the	DET
cana-665	37	28	performance	performance	NOUN
cana-665	37	29	of	of	ADP
cana-665	37	30	the	the	DET
cana-665	37	31	classifier	classifier	NOUN
cana-665	37	32	.	.	PUNCT
cana-665	38	1	decomposition	decomposition	NOUN
cana-665	38	2	based	base	VERB
cana-665	38	3	feature	feature	NOUN
cana-665	38	4	extraction	extraction	NOUN
cana-665	38	5	have	have	AUX
cana-665	38	6	been	be	AUX
cana-665	38	7	gaining	gain	VERB
cana-665	38	8	importance	importance	NOUN
cana-665	38	9	in	in	ADP
cana-665	38	10	recent	recent	ADJ
cana-665	38	11	years	year	NOUN
cana-665	38	12	.	.	PUNCT
cana-665	39	1	empirical	empirical	ADJ
cana-665	39	2	mode	mode	NOUN
cana-665	39	3	decomposition	decomposition	NOUN
cana-665	39	4	(	(	PUNCT
cana-665	39	5	emd	emd	PROPN
cana-665	39	6	)	)	PUNCT
cana-665	39	7	has	have	AUX
cana-665	39	8	emerged	emerge	VERB
cana-665	39	9	as	as	ADP
cana-665	39	10	a	a	DET
cana-665	39	11	powerful	powerful	ADJ
cana-665	39	12	signal	signal	NOUN
cana-665	39	13	processing	processing	NOUN
cana-665	39	14	technique	technique	NOUN
cana-665	39	15	for	for	ADP
cana-665	39	16	the	the	DET
cana-665	39	17	analysis	analysis	NOUN
cana-665	39	18	and	and	CCONJ
cana-665	39	19	classification	classification	NOUN
cana-665	39	20	of	of	ADP
cana-665	39	21	biomedical	biomedical	ADJ
cana-665	39	22	signals	signal	NOUN
cana-665	39	23	,	,	PUNCT
cana-665	39	24	including	include	VERB
cana-665	39	25	electroencephalogram	electroencephalogram	NOUN
cana-665	39	26	(	(	PUNCT
cana-665	39	27	eeg	eeg	NOUN
cana-665	39	28	)	)	PUNCT
cana-665	39	29	and	and	CCONJ
cana-665	39	30	electrocardiogram	electrocardiogram	NOUN
cana-665	39	31	(	(	PUNCT
cana-665	39	32	ecg	ecg	PROPN
cana-665	39	33	)	)	PUNCT
cana-665	39	34	signals	signal	NOUN
cana-665	39	35	.	.	PUNCT
cana-665	40	1	emd	emd	PROPN
cana-665	40	2	offers	offer	VERB
cana-665	40	3	a	a	DET
cana-665	40	4	data	data	NOUN
cana-665	40	5	-	-	PUNCT
cana-665	40	6	driven	drive	VERB
cana-665	40	7	approach	approach	NOUN
cana-665	40	8	to	to	PART
cana-665	40	9	decompose	decompose	VERB
cana-665	40	10	non	non	ADJ
cana-665	40	11	-	-	ADJ
cana-665	40	12	stationary	stationary	ADJ
cana-665	40	13	and	and	CCONJ
cana-665	40	14	nonlinear	nonlinear	ADJ
cana-665	40	15	signals	signal	NOUN
cana-665	40	16	into	into	ADP
cana-665	40	17	a	a	DET
cana-665	40	18	set	set	NOUN
cana-665	40	19	of	of	ADP
cana-665	40	20	oscillatory	oscillatory	ADJ
cana-665	40	21	components	component	NOUN
cana-665	40	22	called	call	VERB
cana-665	40	23	intrinsic	intrinsic	ADJ
cana-665	40	24	mode	mode	NOUN
cana-665	40	25	functions	function	NOUN
cana-665	40	26	(	(	PUNCT
cana-665	40	27	imfs	imfs	NOUN
cana-665	40	28	)	)	PUNCT
cana-665	40	29	,	,	PUNCT
cana-665	40	30	which	which	PRON
cana-665	40	31	capture	capture	VERB
cana-665	40	32	the	the	DET
cana-665	40	33	underlying	underlie	VERB
cana-665	40	34	dynamics	dynamic	NOUN
cana-665	40	35	of	of	ADP
cana-665	40	36	the	the	DET
cana-665	40	37	signal	signal	NOUN
cana-665	40	38	.	.	PUNCT
cana-665	41	1	this	this	DET
cana-665	41	2	decomposition	decomposition	NOUN
cana-665	41	3	allows	allow	VERB
cana-665	41	4	for	for	ADP
cana-665	41	5	the	the	DET
cana-665	41	6	extraction	extraction	NOUN
cana-665	41	7	of	of	ADP
cana-665	41	8	relevant	relevant	ADJ
cana-665	41	9	features	feature	NOUN
cana-665	41	10	that	that	PRON
cana-665	41	11	can	can	AUX
cana-665	41	12	be	be	AUX
cana-665	41	13	used	use	VERB
cana-665	41	14	for	for	ADP
cana-665	41	15	classification	classification	NOUN
cana-665	41	16	purposes	purpose	NOUN
cana-665	41	17	.	.	PUNCT
cana-665	42	1	in	in	ADP
cana-665	42	2	the	the	DET
cana-665	42	3	field	field	NOUN
cana-665	42	4	of	of	ADP
cana-665	42	5	eeg	eeg	PROPN
cana-665	42	6	signal	signal	NOUN
cana-665	42	7	processing	processing	NOUN
cana-665	42	8	,	,	PUNCT
cana-665	42	9	emd	emd	PROPN
cana-665	42	10	has	have	AUX
cana-665	42	11	been	be	AUX
cana-665	42	12	widely	widely	ADV
cana-665	42	13	utilized	utilize	VERB
cana-665	42	14	for	for	ADP
cana-665	42	15	various	various	ADJ
cana-665	42	16	applications	application	NOUN
cana-665	42	17	,	,	PUNCT
cana-665	42	18	including	include	VERB
cana-665	42	19	seizure	seizure	NOUN
cana-665	42	20	detection	detection	NOUN
cana-665	42	21	[	[	X
cana-665	42	22	9	9	X
cana-665	42	23	]	]	X
cana-665	43	1	[	[	X
cana-665	43	2	10	10	NUM
cana-665	43	3	]	]	PUNCT
cana-665	43	4	,	,	PUNCT
cana-665	43	5	sleep	sleep	VERB
cana-665	43	6	stage	stage	NOUN
cana-665	43	7	classification	classification	NOUN
cana-665	43	8	,	,	PUNCT
cana-665	43	9	and	and	CCONJ
cana-665	43	10	emotion	emotion	NOUN
cana-665	43	11	recognition	recognition	NOUN
cana-665	43	12	[	[	X
cana-665	43	13	11	11	NUM
cana-665	43	14	]	]	PUNCT
cana-665	43	15	.	.	PUNCT
cana-665	44	1	similarly	similarly	ADV
cana-665	44	2	,	,	PUNCT
cana-665	44	3	emd	emd	PROPN
cana-665	44	4	has	have	AUX
cana-665	44	5	shown	show	VERB
cana-665	44	6	promise	promise	NOUN
cana-665	44	7	in	in	ADP
cana-665	44	8	the	the	DET
cana-665	44	9	classification	classification	NOUN
cana-665	44	10	of	of	ADP
cana-665	44	11	ecg	ecg	PROPN
cana-665	44	12	signals	signal	NOUN
cana-665	44	13	for	for	ADP
cana-665	44	14	diagnosing	diagnose	VERB
cana-665	44	15	various	various	ADJ
cana-665	44	16	cardiac	cardiac	ADJ
cana-665	44	17	abnormalities	abnormality	NOUN
cana-665	44	18	.	.	PUNCT
cana-665	45	1	in	in	ADP
cana-665	45	2	[	[	X
cana-665	45	3	12	12	NUM
cana-665	45	4	]	]	PUNCT
cana-665	45	5	the	the	DET
cana-665	45	6	authors	author	NOUN
cana-665	45	7	investigated	investigate	VERB
cana-665	45	8	the	the	DET
cana-665	45	9	use	use	NOUN
cana-665	45	10	of	of	ADP
cana-665	45	11	emd	emd	PROPN
cana-665	45	12	for	for	ADP
cana-665	45	13	feature	feature	NOUN
cana-665	45	14	extraction	extraction	NOUN
cana-665	45	15	from	from	ADP
cana-665	45	16	ecg	ecg	PROPN
cana-665	45	17	signals	signal	NOUN
cana-665	45	18	and	and	CCONJ
cana-665	45	19	its	its	PRON
cana-665	45	20	application	application	NOUN
cana-665	45	21	in	in	ADP
cana-665	45	22	arrhythmia	arrhythmia	NOUN
cana-665	45	23	detection	detection	NOUN
cana-665	45	24	.	.	PUNCT
cana-665	46	1	they	they	PRON
cana-665	46	2	demonstrated	demonstrate	VERB
cana-665	46	3	that	that	SCONJ
cana-665	46	4	features	feature	NOUN
cana-665	46	5	extracted	extract	VERB
cana-665	46	6	from	from	ADP
cana-665	46	7	imf	imf	PROPN
cana-665	46	8	components	component	NOUN
cana-665	46	9	using	use	VERB
cana-665	46	10	emd	emd	PROPN
cana-665	46	11	could	could	AUX
cana-665	46	12	effectively	effectively	ADV
cana-665	46	13	discriminate	discriminate	VERB
cana-665	46	14	between	between	ADP
cana-665	46	15	different	different	ADJ
cana-665	46	16	arrhythmia	arrhythmia	NOUN
cana-665	46	17	types	type	NOUN
cana-665	46	18	.	.	PUNCT
cana-665	47	1	furthermore	furthermore	ADV
cana-665	47	2	,	,	PUNCT
cana-665	47	3	in	in	ADP
cana-665	47	4	[	[	PUNCT
cana-665	47	5	13	13	NUM
cana-665	47	6	]	]	PUNCT
cana-665	47	7	the	the	DET
cana-665	47	8	authors	author	NOUN
cana-665	47	9	proposed	propose	VERB
cana-665	47	10	a	a	DET
cana-665	47	11	method	method	NOUN
cana-665	47	12	for	for	SCONJ
cana-665	47	13	ecgcommunications	ecgcommunication	NOUN
cana-665	47	14	on	on	ADP
cana-665	47	15	applied	apply	VERB
cana-665	47	16	nonlinear	nonlinear	ADJ
cana-665	47	17	analysis	analysis	NOUN
cana-665	47	18	issn	issn	NOUN
cana-665	47	19	:	:	PUNCT
cana-665	47	20	1074	1074	NUM
cana-665	47	21	-	-	PUNCT
cana-665	47	22	133x	133x	NUM
cana-665	47	23	vol	vol	NOUN
cana-665	47	24	31	31	NUM
cana-665	47	25	no	no	NOUN
cana-665	47	26	.	.	PUNCT
cana-665	48	1	2s	2s	NUM
cana-665	48	2	(	(	PUNCT
cana-665	48	3	2024	2024	NUM
cana-665	48	4	)	)	PUNCT
cana-665	48	5	534	534	NUM
cana-665	48	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-665	48	7	based	base	VERB
cana-665	48	8	heartbeat	heartbeat	NOUN
cana-665	48	9	classification	classification	NOUN
cana-665	48	10	using	use	VERB
cana-665	48	11	emd	emd	PROPN
cana-665	48	12	and	and	CCONJ
cana-665	48	13	deep	deep	ADJ
cana-665	48	14	learning	learning	NOUN
cana-665	48	15	techniques	technique	NOUN
cana-665	48	16	,	,	PUNCT
cana-665	48	17	achieving	achieve	VERB
cana-665	48	18	high	high	ADJ
cana-665	48	19	accuracy	accuracy	NOUN
cana-665	48	20	in	in	ADP
cana-665	48	21	distinguishing	distinguish	VERB
cana-665	48	22	between	between	ADP
cana-665	48	23	normal	normal	ADJ
cana-665	48	24	and	and	CCONJ
cana-665	48	25	abnormal	abnormal	ADJ
cana-665	48	26	heartbeats	heartbeat	NOUN
cana-665	48	27	.	.	PUNCT
cana-665	49	1	this	this	DET
cana-665	49	2	study	study	NOUN
cana-665	49	3	proposes	propose	VERB
cana-665	49	4	a	a	DET
cana-665	49	5	feature	feature	NOUN
cana-665	49	6	set	set	NOUN
cana-665	49	7	combining	combine	VERB
cana-665	49	8	five	five	NUM
cana-665	49	9	morphological	morphological	ADJ
cana-665	49	10	features	feature	NOUN
cana-665	49	11	which	which	PRON
cana-665	49	12	are	be	AUX
cana-665	49	13	indicators	indicator	NOUN
cana-665	49	14	of	of	ADP
cana-665	49	15	hyperkalemia	hyperkalemia	NOUN
cana-665	49	16	along	along	ADP
cana-665	49	17	with	with	ADP
cana-665	49	18	eight	eight	NUM
cana-665	49	19	features	feature	NOUN
cana-665	49	20	extracted	extract	VERB
cana-665	49	21	from	from	ADP
cana-665	49	22	imf	imf	PROPN
cana-665	49	23	obtained	obtain	VERB
cana-665	49	24	from	from	ADP
cana-665	49	25	emd	emd	PROPN
cana-665	49	26	.	.	PROPN
cana-665	49	27	table	table	NOUN
cana-665	49	28	1	1	NUM
cana-665	49	29	presents	present	VERB
cana-665	49	30	the	the	DET
cana-665	49	31	morphological	morphological	ADJ
cana-665	49	32	features	feature	NOUN
cana-665	49	33	extracted	extract	VERB
cana-665	49	34	based	base	VERB
cana-665	49	35	on	on	ADP
cana-665	49	36	the	the	DET
cana-665	49	37	hyperkalemia	hyperkalemia	NOUN
cana-665	49	38	changes	change	NOUN
cana-665	49	39	in	in	ADP
cana-665	49	40	ecg	ecg	PROPN
cana-665	49	41	.	.	PUNCT
cana-665	50	1	our	our	PRON
cana-665	50	2	ultimate	ultimate	ADJ
cana-665	50	3	goal	goal	NOUN
cana-665	50	4	is	be	AUX
cana-665	50	5	to	to	PART
cana-665	50	6	use	use	VERB
cana-665	50	7	a	a	DET
cana-665	50	8	combination	combination	NOUN
cana-665	50	9	of	of	ADP
cana-665	50	10	these	these	DET
cana-665	50	11	features	feature	NOUN
cana-665	50	12	to	to	PART
cana-665	50	13	enhance	enhance	VERB
cana-665	50	14	the	the	DET
cana-665	50	15	detection	detection	NOUN
cana-665	50	16	of	of	ADP
cana-665	50	17	hyperkalemia	hyperkalemia	NOUN
cana-665	50	18	.	.	PUNCT
cana-665	51	1	table	table	NOUN
cana-665	52	1	i	i	PRON
cana-665	52	2	:	:	PUNCT
cana-665	52	3	hyperkalemia	hyperkalemia	NOUN
cana-665	52	4	and	and	CCONJ
cana-665	52	5	its	its	PRON
cana-665	52	6	effect	effect	NOUN
cana-665	52	7	on	on	ADP
cana-665	52	8	ecg	ecg	PROPN
cana-665	52	9	hyperkalemia	hyperkalemia	PROPN
cana-665	52	10	range	range	NOUN
cana-665	52	11	effect	effect	NOUN
cana-665	52	12	on	on	ADP
cana-665	52	13	ecg	ecg	PROPN
cana-665	52	14	features	feature	NOUN
cana-665	52	15	extracted	extract	VERB
cana-665	52	16	mild	mild	ADJ
cana-665	52	17	hyperkalemia(5.56.5	hyperkalemia(5.56.5	ADJ
cana-665	52	18	meq	meq	NOUN
cana-665	52	19	/	/	SYM
cana-665	52	20	l	l	NOUN
cana-665	52	21	)	)	PUNCT
cana-665	52	22	thin	thin	ADJ
cana-665	52	23	,	,	PUNCT
cana-665	52	24	tall	tall	ADJ
cana-665	52	25	,	,	PUNCT
cana-665	52	26	narrow	narrow	ADJ
cana-665	52	27	based	base	VERB
cana-665	52	28	and	and	CCONJ
cana-665	52	29	peaked	peak	VERB
cana-665	52	30	t	t	PROPN
cana-665	52	31	waves	wave	NOUN
cana-665	52	32	twave	twave	VERB
cana-665	52	33	amplitude	amplitude	NOUN
cana-665	52	34	,	,	PUNCT
cana-665	52	35	p	p	ADJ
cana-665	52	36	-	-	PUNCT
cana-665	52	37	wave	wave	NOUN
cana-665	52	38	amplitude	amplitude	NOUN
cana-665	52	39	,	,	PUNCT
cana-665	52	40	pr	pr	NOUN
cana-665	52	41	interval	interval	NOUN
cana-665	52	42	,	,	PUNCT
cana-665	52	43	qrs	qrs	PROPN
cana-665	52	44	interval	interval	PROPN
cana-665	52	45	,	,	PUNCT
cana-665	52	46	st	st	PROPN
cana-665	52	47	depression	depression	PROPN
cana-665	52	48	moderate	moderate	VERB
cana-665	52	49	hyperkalemia(6.5	hyperkalemia(6.5	PROPN
cana-665	52	50	-	-	PUNCT
cana-665	52	51	7.5	7.5	NUM
cana-665	52	52	meq	meq	NUM
cana-665	52	53	/	/	SYM
cana-665	52	54	l	l	NOUN
cana-665	52	55	)	)	PUNCT
cana-665	52	56	p	p	NOUN
cana-665	52	57	wave	wave	NOUN
cana-665	52	58	flattening	flattening	NOUN
cana-665	52	59	,	,	PUNCT
cana-665	52	60	p	p	NOUN
cana-665	52	61	-	-	PUNCT
cana-665	52	62	r	r	NOUN
cana-665	52	63	interval	interval	NOUN
cana-665	52	64	prolongation	prolongation	NOUN
cana-665	52	65	,	,	PUNCT
cana-665	52	66	widening	widen	VERB
cana-665	52	67	of	of	ADP
cana-665	52	68	qrs	qrs	PROPN
cana-665	52	69	complex	complex	PROPN
cana-665	52	70	severe	severe	ADJ
cana-665	52	71	hyperkalemia(>7.5	hyperkalemia(>7.5	PROPN
cana-665	52	72	meq	meq	NOUN
cana-665	52	73	/	/	SYM
cana-665	52	74	l	l	NOUN
cana-665	52	75	)	)	PUNCT
cana-665	52	76	st	st	NOUN
cana-665	52	77	depression	depression	NOUN
cana-665	52	78	,	,	PUNCT
cana-665	52	79	p	p	NOUN
cana-665	52	80	wave	wave	NOUN
cana-665	52	81	disappears	disappear	VERB
cana-665	52	82	and	and	CCONJ
cana-665	52	83	the	the	DET
cana-665	52	84	pqrst	pqrst	NOUN
cana-665	52	85	is	be	AUX
cana-665	52	86	replaced	replace	VERB
cana-665	52	87	by	by	ADP
cana-665	52	88	a	a	DET
cana-665	52	89	smooth	smooth	ADJ
cana-665	52	90	diphasic	diphasic	ADJ
cana-665	52	91	sine	sine	NOUN
cana-665	52	92	wave	wave	NOUN
cana-665	52	93	the	the	DET
cana-665	52	94	remainder	remainder	NOUN
cana-665	52	95	of	of	ADP
cana-665	52	96	this	this	DET
cana-665	52	97	paper	paper	NOUN
cana-665	52	98	is	be	AUX
cana-665	52	99	as	as	SCONJ
cana-665	52	100	follows	follow	VERB
cana-665	52	101	:	:	PUNCT
cana-665	52	102	in	in	ADP
cana-665	52	103	section	section	NOUN
cana-665	52	104	2	2	NUM
cana-665	52	105	,	,	PUNCT
cana-665	52	106	we	we	PRON
cana-665	52	107	introduce	introduce	VERB
cana-665	52	108	the	the	DET
cana-665	52	109	detail	detail	NOUN
cana-665	52	110	the	the	DET
cana-665	52	111	methodology	methodology	NOUN
cana-665	52	112	,	,	PUNCT
cana-665	52	113	encompassing	encompass	VERB
cana-665	52	114	data	data	NOUN
cana-665	52	115	preparation	preparation	NOUN
cana-665	52	116	,	,	PUNCT
cana-665	52	117	pre	pre	ADJ
cana-665	52	118	-	-	ADJ
cana-665	52	119	processing	processing	ADJ
cana-665	52	120	,	,	PUNCT
cana-665	52	121	feature	feature	NOUN
cana-665	52	122	extraction	extraction	NOUN
cana-665	52	123	and	and	CCONJ
cana-665	52	124	classification	classification	NOUN
cana-665	52	125	.	.	PUNCT
cana-665	53	1	section	section	NOUN
cana-665	53	2	3	3	NUM
cana-665	53	3	presents	present	VERB
cana-665	53	4	the	the	DET
cana-665	53	5	implementation	implementation	NOUN
cana-665	53	6	details	detail	NOUN
cana-665	53	7	and	and	CCONJ
cana-665	53	8	results	result	NOUN
cana-665	53	9	.	.	PUNCT
cana-665	54	1	section	section	NOUN
cana-665	54	2	4	4	NUM
cana-665	54	3	presents	present	VERB
cana-665	54	4	the	the	DET
cana-665	54	5	discussion	discussion	NOUN
cana-665	54	6	.	.	PUNCT
cana-665	55	1	finally	finally	ADV
cana-665	55	2	,	,	PUNCT
cana-665	55	3	section	section	NOUN
cana-665	55	4	5	5	NUM
cana-665	55	5	offers	offer	VERB
cana-665	55	6	our	our	PRON
cana-665	55	7	conclusions	conclusion	NOUN
cana-665	55	8	,	,	PUNCT
cana-665	55	9	summarizing	summarize	VERB
cana-665	55	10	key	key	ADJ
cana-665	55	11	insights	insight	NOUN
cana-665	55	12	and	and	CCONJ
cana-665	55	13	implications	implication	NOUN
cana-665	55	14	drawn	draw	VERB
cana-665	55	15	from	from	ADP
cana-665	55	16	the	the	DET
cana-665	55	17	study	study	NOUN
cana-665	55	18	.	.	PUNCT
cana-665	56	1	2	2	X
cana-665	56	2	.	.	X
cana-665	56	3	methods	method	NOUN
cana-665	56	4	this	this	DET
cana-665	56	5	section	section	NOUN
cana-665	56	6	describes	describe	VERB
cana-665	56	7	the	the	DET
cana-665	56	8	overall	overall	ADJ
cana-665	56	9	methods	method	NOUN
cana-665	56	10	used	use	VERB
cana-665	56	11	for	for	ADP
cana-665	56	12	the	the	DET
cana-665	56	13	classification	classification	NOUN
cana-665	56	14	task	task	NOUN
cana-665	56	15	.	.	PUNCT
cana-665	57	1	figure	figure	NOUN
cana-665	57	2	1	1	NUM
cana-665	57	3	presents	present	VERB
cana-665	57	4	the	the	DET
cana-665	57	5	block	block	NOUN
cana-665	57	6	diagram	diagram	NOUN
cana-665	57	7	of	of	ADP
cana-665	57	8	the	the	DET
cana-665	57	9	methodology	methodology	NOUN
cana-665	57	10	used	use	VERB
cana-665	57	11	in	in	ADP
cana-665	57	12	this	this	DET
cana-665	57	13	paper	paper	NOUN
cana-665	57	14	.	.	PUNCT
cana-665	58	1	communications	communication	NOUN
cana-665	58	2	on	on	ADP
cana-665	58	3	applied	apply	VERB
cana-665	58	4	nonlinear	nonlinear	ADJ
cana-665	58	5	analysis	analysis	NOUN
cana-665	58	6	issn	issn	NOUN
cana-665	58	7	:	:	PUNCT
cana-665	58	8	1074	1074	NUM
cana-665	58	9	-	-	PUNCT
cana-665	58	10	133x	133x	NUM
cana-665	58	11	vol	vol	NOUN
cana-665	58	12	31	31	NUM
cana-665	58	13	no	no	NOUN
cana-665	58	14	.	.	PUNCT
cana-665	59	1	2s	2s	NUM
cana-665	59	2	(	(	PUNCT
cana-665	59	3	2024	2024	NUM
cana-665	59	4	)	)	PUNCT
cana-665	59	5	535	535	NUM
cana-665	59	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-665	59	7	figure	figure	NOUN
cana-665	59	8	1	1	NUM
cana-665	59	9	.	.	PUNCT
cana-665	59	10	methodology	methodology	NOUN
cana-665	59	11	2.1	2.1	NUM
cana-665	59	12	dataset	dataset	VERB
cana-665	59	13	the	the	DET
cana-665	59	14	"	"	PUNCT
cana-665	59	15	medical	medical	ADJ
cana-665	59	16	information	information	NOUN
cana-665	59	17	mart	mart	NOUN
cana-665	59	18	for	for	ADP
cana-665	59	19	intensive	intensive	ADJ
cana-665	59	20	care	care	NOUN
cana-665	59	21	"	"	PUNCT
cana-665	59	22	or	or	CCONJ
cana-665	59	23	mimic	mimic	ADJ
cana-665	59	24	is	be	AUX
cana-665	59	25	a	a	DET
cana-665	59	26	large	large	ADJ
cana-665	59	27	single	single	ADJ
cana-665	59	28	-	-	PUNCT
cana-665	59	29	center	center	NOUN
cana-665	59	30	database	database	NOUN
cana-665	59	31	that	that	PRON
cana-665	59	32	contains	contain	VERB
cana-665	59	33	data	datum	NOUN
cana-665	59	34	on	on	ADP
cana-665	59	35	patients	patient	NOUN
cana-665	59	36	admitted	admit	VERB
cana-665	59	37	to	to	ADP
cana-665	59	38	critical	critical	ADJ
cana-665	59	39	care	care	NOUN
cana-665	59	40	units	unit	NOUN
cana-665	59	41	at	at	ADP
cana-665	59	42	large	large	ADJ
cana-665	59	43	tertiary	tertiary	ADJ
cana-665	59	44	care	care	NOUN
cana-665	59	45	hospitals	hospital	NOUN
cana-665	59	46	.	.	PUNCT
cana-665	60	1	the	the	DET
cana-665	60	2	dataset	dataset	NOUN
cana-665	60	3	used	use	VERB
cana-665	60	4	in	in	ADP
cana-665	60	5	this	this	DET
cana-665	60	6	work	work	NOUN
cana-665	60	7	is	be	AUX
cana-665	60	8	extracted	extract	VERB
cana-665	60	9	from	from	ADP
cana-665	60	10	mimics	mimics	PROPN
cana-665	60	11	iv	iv	NUM
cana-665	60	12	ecg	ecg	PROPN
cana-665	60	13	:	:	PUNCT
cana-665	60	14	diagnostic	diagnostic	ADJ
cana-665	60	15	electrocardiogram	electrocardiogram	NOUN
cana-665	60	16	matched	match	VERB
cana-665	60	17	subset	subset	NOUN
cana-665	61	1	[	[	X
cana-665	61	2	13	13	NUM
cana-665	61	3	]	]	PUNCT
cana-665	62	1	[	[	X
cana-665	62	2	14	14	NUM
cana-665	62	3	]	]	PUNCT
cana-665	62	4	.	.	PUNCT
cana-665	63	1	the	the	DET
cana-665	63	2	mimic	mimic	ADJ
cana-665	63	3	-	-	PUNCT
cana-665	63	4	iv	iv	NUM
cana-665	63	5	-	-	PUNCT
cana-665	63	6	ecg	ecg	PROPN
cana-665	63	7	module	module	NOUN
cana-665	63	8	encompasses	encompass	VERB
cana-665	63	9	around	around	ADP
cana-665	63	10	800,000	800,000	NUM
cana-665	63	11	diagnostic	diagnostic	ADJ
cana-665	63	12	electrocardiograms	electrocardiogram	NOUN
cana-665	63	13	from	from	ADP
cana-665	63	14	close	close	ADJ
cana-665	63	15	to	to	PART
cana-665	63	16	160,000	160,000	NUM
cana-665	63	17	distinct	distinct	ADJ
cana-665	63	18	patients	patient	NOUN
cana-665	63	19	.	.	PUNCT
cana-665	64	1	these	these	DET
cana-665	64	2	diagnostic	diagnostic	ADJ
cana-665	64	3	ecg	ecg	PROPN
cana-665	64	4	recordings	recording	NOUN
cana-665	64	5	,	,	PUNCT
cana-665	64	6	comprising	comprise	VERB
cana-665	64	7	12	12	NUM
cana-665	64	8	leads	lead	NOUN
cana-665	64	9	each	each	PRON
cana-665	64	10	and	and	CCONJ
cana-665	64	11	lasting	last	VERB
cana-665	64	12	10	10	NUM
cana-665	64	13	seconds	second	NOUN
cana-665	64	14	,	,	PUNCT
cana-665	64	15	are	be	AUX
cana-665	64	16	sampled	sample	VERB
cana-665	64	17	at	at	ADP
cana-665	64	18	a	a	DET
cana-665	64	19	frequency	frequency	NOUN
cana-665	64	20	of	of	ADP
cana-665	64	21	500	500	NUM
cana-665	64	22	hz	hz	NOUN
cana-665	64	23	.	.	PUNCT
cana-665	65	1	this	this	DET
cana-665	65	2	subset	subset	NOUN
cana-665	65	3	includes	include	VERB
cana-665	65	4	the	the	DET
cana-665	65	5	entire	entire	ADJ
cana-665	65	6	set	set	NOUN
cana-665	65	7	of	of	ADP
cana-665	65	8	ecgs	ecgs	PROPN
cana-665	65	9	corresponding	correspond	VERB
cana-665	65	10	to	to	ADP
cana-665	65	11	patients	patient	NOUN
cana-665	65	12	featured	feature	VERB
cana-665	65	13	in	in	ADP
cana-665	65	14	the	the	DET
cana-665	65	15	mimic	mimic	ADJ
cana-665	65	16	-	-	PUNCT
cana-665	65	17	iv	iv	NOUN
cana-665	65	18	clinical	clinical	ADJ
cana-665	65	19	database	database	NOUN
cana-665	65	20	.	.	PUNCT
cana-665	66	1	we	we	PRON
cana-665	66	2	selected	select	VERB
cana-665	66	3	those	those	DET
cana-665	66	4	ecg	ecg	PROPN
cana-665	66	5	waveforms	waveform	VERB
cana-665	66	6	from	from	ADP
cana-665	66	7	mimics	mimic	NOUN
cana-665	66	8	iv	iv	NUM
cana-665	66	9	ecg	ecg	PROPN
cana-665	66	10	matched	match	VERB
cana-665	66	11	subset	subset	VERB
cana-665	66	12	whose	whose	DET
cana-665	66	13	corresponding	correspond	VERB
cana-665	66	14	clinical	clinical	ADJ
cana-665	66	15	records	record	NOUN
cana-665	66	16	suggested	suggest	VERB
cana-665	66	17	that	that	SCONJ
cana-665	66	18	the	the	DET
cana-665	66	19	patient	patient	NOUN
cana-665	66	20	had	have	VERB
cana-665	66	21	normal	normal	ADJ
cana-665	66	22	or	or	CCONJ
cana-665	66	23	high	high	ADJ
cana-665	66	24	levels	level	NOUN
cana-665	66	25	of	of	ADP
cana-665	66	26	serum	serum	NOUN
cana-665	66	27	potassium	potassium	NOUN
cana-665	66	28	.	.	PUNCT
cana-665	67	1	to	to	PART
cana-665	67	2	ensure	ensure	VERB
cana-665	67	3	the	the	DET
cana-665	67	4	relevance	relevance	NOUN
cana-665	67	5	and	and	CCONJ
cana-665	67	6	accuracy	accuracy	NOUN
cana-665	67	7	of	of	ADP
cana-665	67	8	the	the	DET
cana-665	67	9	correlation	correlation	NOUN
cana-665	67	10	between	between	ADP
cana-665	67	11	potassium	potassium	NOUN
cana-665	67	12	levels	level	NOUN
cana-665	67	13	and	and	CCONJ
cana-665	67	14	ecg	ecg	PROPN
cana-665	67	15	characteristics	characteristic	NOUN
cana-665	67	16	,	,	PUNCT
cana-665	67	17	only	only	ADV
cana-665	67	18	those	those	DET
cana-665	67	19	ecg	ecg	PROPN
cana-665	67	20	recordings	recording	NOUN
cana-665	67	21	were	be	AUX
cana-665	67	22	selected	select	VERB
cana-665	67	23	where	where	SCONJ
cana-665	67	24	the	the	DET
cana-665	67	25	time	time	NOUN
cana-665	67	26	difference	difference	NOUN
cana-665	67	27	between	between	ADP
cana-665	67	28	the	the	DET
cana-665	67	29	associated	associated	ADJ
cana-665	67	30	potassium	potassium	NOUN
cana-665	67	31	test	test	NOUN
cana-665	67	32	and	and	CCONJ
cana-665	67	33	the	the	DET
cana-665	67	34	ecg	ecg	PROPN
cana-665	67	35	acquisition	acquisition	NOUN
cana-665	67	36	was	be	AUX
cana-665	67	37	less	less	ADJ
cana-665	67	38	than	than	ADP
cana-665	67	39	4	4	NUM
cana-665	67	40	hours	hour	NOUN
cana-665	67	41	.	.	PUNCT
cana-665	68	1	however	however	ADV
cana-665	68	2	not	not	PART
cana-665	68	3	all	all	DET
cana-665	68	4	signals	signal	NOUN
cana-665	68	5	are	be	AUX
cana-665	68	6	of	of	ADP
cana-665	68	7	adequate	adequate	ADJ
cana-665	68	8	quality	quality	NOUN
cana-665	68	9	for	for	ADP
cana-665	68	10	rigorous	rigorous	ADJ
cana-665	68	11	analysis	analysis	NOUN
cana-665	68	12	.	.	PUNCT
cana-665	69	1	several	several	ADJ
cana-665	69	2	factors	factor	NOUN
cana-665	69	3	including	include	VERB
cana-665	69	4	noise	noise	NOUN
cana-665	69	5	,	,	PUNCT
cana-665	69	6	artifacts	artifact	NOUN
cana-665	69	7	and	and	CCONJ
cana-665	69	8	other	other	ADJ
cana-665	69	9	irregularities	irregularity	NOUN
cana-665	69	10	compromises	compromise	VERB
cana-665	69	11	the	the	DET
cana-665	69	12	quality	quality	NOUN
cana-665	69	13	of	of	ADP
cana-665	69	14	the	the	DET
cana-665	69	15	signals	signal	NOUN
cana-665	69	16	.	.	PUNCT
cana-665	70	1	pre	pre	ADJ
cana-665	70	2	-	-	ADJ
cana-665	70	3	processing	processing	ADJ
cana-665	70	4	techniques	technique	NOUN
cana-665	70	5	like	like	ADP
cana-665	70	6	filtering	filtering	NOUN
cana-665	70	7	and	and	CCONJ
cana-665	70	8	outlier	outlier	NOUN
cana-665	70	9	detection	detection	NOUN
cana-665	70	10	was	be	AUX
cana-665	70	11	employed	employ	VERB
cana-665	70	12	to	to	PART
cana-665	70	13	prepare	prepare	VERB
cana-665	70	14	the	the	DET
cana-665	70	15	data	datum	NOUN
cana-665	70	16	for	for	ADP
cana-665	70	17	classification	classification	NOUN
cana-665	70	18	.	.	PUNCT
cana-665	71	1	after	after	ADP
cana-665	71	2	preprocessing	preprocesse	VERB
cana-665	71	3	1790	1790	NUM
cana-665	71	4	patient	patient	NOUN
cana-665	71	5	samples	sample	NOUN
cana-665	71	6	were	be	AUX
cana-665	71	7	included	include	VERB
cana-665	71	8	for	for	ADP
cana-665	71	9	this	this	DET
cana-665	71	10	study	study	NOUN
cana-665	71	11	of	of	ADP
cana-665	71	12	which	which	PRON
cana-665	71	13	895	895	NUM
cana-665	71	14	are	be	AUX
cana-665	71	15	normal	normal	ADJ
cana-665	71	16	cases	case	NOUN
cana-665	71	17	and	and	CCONJ
cana-665	71	18	895	895	NUM
cana-665	71	19	were	be	AUX
cana-665	71	20	cases	case	NOUN
cana-665	71	21	of	of	ADP
cana-665	71	22	hyperkalemia	hyperkalemia	NOUN
cana-665	71	23	.	.	PUNCT
cana-665	72	1	for	for	ADP
cana-665	72	2	cases	case	NOUN
cana-665	72	3	of	of	ADP
cana-665	72	4	hyperkalemia	hyperkalemia	NOUN
cana-665	72	5	only	only	ADV
cana-665	72	6	those	those	DET
cana-665	72	7	patients	patient	NOUN
cana-665	72	8	were	be	AUX
cana-665	72	9	considered	consider	VERB
cana-665	72	10	whose	whose	DET
cana-665	72	11	potassium	potassium	NOUN
cana-665	72	12	values	value	NOUN
cana-665	72	13	were	be	AUX
cana-665	72	14	>	>	X
cana-665	72	15	6.0	6.0	NUM
cana-665	72	16	meq	meq	NOUN
cana-665	72	17	/	/	SYM
cana-665	72	18	l.	l.	PROPN
cana-665	72	19	mimic	mimic	PROPN
cana-665	72	20	iv	iv	NUM
cana-665	72	21	diagnostic	diagnostic	ADJ
cana-665	72	22	ecg	ecg	PROPN
cana-665	72	23	matched	match	VERB
cana-665	72	24	subset	subset	VERB
cana-665	72	25	mimic	mimic	PROPN
cana-665	72	26	iv	iv	NUM
cana-665	72	27	clinical	clinical	ADJ
cana-665	72	28	database	database	NOUN
cana-665	72	29	extract	extract	NOUN
cana-665	72	30	lead	lead	NOUN
cana-665	72	31	ii	ii	PROPN
cana-665	72	32	signal	signal	NOUN
cana-665	72	33	segments	segment	NOUN
cana-665	72	34	of	of	ADP
cana-665	72	35	subjects	subject	NOUN
cana-665	72	36	having	have	VERB
cana-665	72	37	k	k	NOUN
cana-665	72	38	+	+	X
cana-665	72	39	in	in	ADP
cana-665	72	40	normal	normal	ADJ
cana-665	72	41	and	and	CCONJ
cana-665	72	42	hyperkalemic	hyperkalemic	ADJ
cana-665	72	43	range	range	NOUN
cana-665	72	44	identify	identify	VERB
cana-665	72	45	subjects	subject	NOUN
cana-665	72	46	with	with	ADP
cana-665	72	47	k	k	PROPN
cana-665	73	1	+	+	CCONJ
cana-665	73	2	in	in	ADP
cana-665	73	3	normal	normal	ADJ
cana-665	73	4	and	and	CCONJ
cana-665	73	5	hypokalemic	hypokalemic	ADJ
cana-665	73	6	range	range	NOUN
cana-665	73	7	and	and	CCONJ
cana-665	73	8	time	time	NOUN
cana-665	73	9	difference	difference	NOUN
cana-665	73	10	between	between	ADP
cana-665	73	11	ecg	ecg	PROPN
cana-665	73	12	test	test	NOUN
cana-665	73	13	and	and	CCONJ
cana-665	73	14	k	k	PROPN
cana-665	73	15	+	+	X
cana-665	73	16	is	be	AUX
cana-665	73	17	less	less	ADJ
cana-665	73	18	than	than	ADP
cana-665	73	19	4	4	NUM
cana-665	73	20	hours	hour	NOUN
cana-665	73	21	signal	signal	NOUN
cana-665	73	22	preprocessing	preprocessing	NOUN
cana-665	73	23	to	to	PART
cana-665	73	24	handle	handle	VERB
cana-665	73	25	noise	noise	NOUN
cana-665	73	26	and	and	CCONJ
cana-665	73	27	missing	miss	VERB
cana-665	73	28	values	value	NOUN
cana-665	73	29	morphological	morphological	ADJ
cana-665	73	30	features	feature	NOUN
cana-665	73	31	model	model	NOUN
cana-665	73	32	training	training	NOUN
cana-665	73	33	classification	classification	NOUN
cana-665	73	34	ecg	ecg	PROPN
cana-665	73	35	-normal	-normal	ADJ
cana-665	73	36	ecghyperkalemia	ecghyperkalemia	PROPN
cana-665	73	37	emd	emd	PROPN
cana-665	73	38	features	feature	VERB
cana-665	73	39	communications	communication	NOUN
cana-665	73	40	on	on	ADP
cana-665	73	41	applied	apply	VERB
cana-665	73	42	nonlinear	nonlinear	ADJ
cana-665	73	43	analysis	analysis	NOUN
cana-665	73	44	issn	issn	NOUN
cana-665	73	45	:	:	PUNCT
cana-665	73	46	1074	1074	NUM
cana-665	73	47	-	-	PUNCT
cana-665	73	48	133x	133x	NUM
cana-665	73	49	vol	vol	NOUN
cana-665	73	50	31	31	NUM
cana-665	73	51	no	no	NOUN
cana-665	73	52	.	.	PUNCT
cana-665	74	1	2s	2s	NUM
cana-665	74	2	(	(	PUNCT
cana-665	74	3	2024	2024	NUM
cana-665	74	4	)	)	PUNCT
cana-665	74	5	536	536	NUM
cana-665	74	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-665	74	7	2.2	2.2	NUM
cana-665	74	8	feature	feature	NOUN
cana-665	74	9	extraction	extraction	NOUN
cana-665	74	10	ecg	ecg	PROPN
cana-665	74	11	signal	signal	NOUN
cana-665	74	12	is	be	AUX
cana-665	74	13	a	a	DET
cana-665	74	14	time	time	NOUN
cana-665	74	15	series	series	NOUN
cana-665	74	16	representation	representation	NOUN
cana-665	74	17	of	of	ADP
cana-665	74	18	the	the	DET
cana-665	74	19	electrical	electrical	ADJ
cana-665	74	20	activity	activity	NOUN
cana-665	74	21	of	of	ADP
cana-665	74	22	the	the	DET
cana-665	74	23	heart	heart	NOUN
cana-665	74	24	.	.	PUNCT
cana-665	75	1	it	it	PRON
cana-665	75	2	serves	serve	VERB
cana-665	75	3	as	as	ADP
cana-665	75	4	a	a	DET
cana-665	75	5	cornerstone	cornerstone	NOUN
cana-665	75	6	in	in	ADP
cana-665	75	7	cardiovascular	cardiovascular	ADJ
cana-665	75	8	diagnostics	diagnostic	NOUN
cana-665	75	9	,	,	PUNCT
cana-665	75	10	aiding	aid	VERB
cana-665	75	11	clinicians	clinician	NOUN
cana-665	75	12	in	in	ADP
cana-665	75	13	the	the	DET
cana-665	75	14	detection	detection	NOUN
cana-665	75	15	and	and	CCONJ
cana-665	75	16	characterization	characterization	NOUN
cana-665	75	17	of	of	ADP
cana-665	75	18	various	various	ADJ
cana-665	75	19	cardiac	cardiac	ADJ
cana-665	75	20	abnormalities	abnormality	NOUN
cana-665	75	21	.	.	PUNCT
cana-665	76	1	one	one	NUM
cana-665	76	2	of	of	ADP
cana-665	76	3	the	the	DET
cana-665	76	4	key	key	ADJ
cana-665	76	5	challenges	challenge	NOUN
cana-665	76	6	in	in	ADP
cana-665	76	7	ecg	ecg	PROPN
cana-665	76	8	analysis	analysis	NOUN
cana-665	76	9	lies	lie	VERB
cana-665	76	10	in	in	ADP
cana-665	76	11	extracting	extract	VERB
cana-665	76	12	informative	informative	ADJ
cana-665	76	13	features	feature	NOUN
cana-665	76	14	that	that	PRON
cana-665	76	15	capture	capture	VERB
cana-665	76	16	essential	essential	ADJ
cana-665	76	17	aspects	aspect	NOUN
cana-665	76	18	of	of	ADP
cana-665	76	19	the	the	DET
cana-665	76	20	signal	signal	NOUN
cana-665	76	21	's	's	PART
cana-665	76	22	structure	structure	NOUN
cana-665	76	23	and	and	CCONJ
cana-665	76	24	dynamics	dynamic	NOUN
cana-665	76	25	.morphological	.morphological	PRON
cana-665	76	26	features	feature	NOUN
cana-665	76	27	of	of	ADP
cana-665	76	28	the	the	DET
cana-665	76	29	ecg	ecg	PROPN
cana-665	76	30	signal	signal	NOUN
cana-665	76	31	encapsulate	encapsulate	VERB
cana-665	76	32	critical	critical	ADJ
cana-665	76	33	structural	structural	ADJ
cana-665	76	34	information	information	NOUN
cana-665	76	35	,	,	PUNCT
cana-665	76	36	describing	describe	VERB
cana-665	76	37	the	the	DET
cana-665	76	38	shape	shape	NOUN
cana-665	76	39	,	,	PUNCT
cana-665	76	40	amplitude	amplitude	NOUN
cana-665	76	41	,	,	PUNCT
cana-665	76	42	and	and	CCONJ
cana-665	76	43	duration	duration	NOUN
cana-665	76	44	of	of	ADP
cana-665	76	45	its	its	PRON
cana-665	76	46	waveform	waveform	NOUN
cana-665	76	47	components	component	NOUN
cana-665	76	48	.	.	PUNCT
cana-665	77	1	empirical	empirical	ADJ
cana-665	77	2	mode	mode	NOUN
cana-665	77	3	decomposition	decomposition	NOUN
cana-665	77	4	(	(	PUNCT
cana-665	77	5	emd	emd	PROPN
cana-665	77	6	)	)	PUNCT
cana-665	78	1	[	[	X
cana-665	78	2	15	15	NUM
cana-665	78	3	]	]	X
cana-665	78	4	is	be	AUX
cana-665	78	5	a	a	DET
cana-665	78	6	data	data	NOUN
cana-665	78	7	-	-	PUNCT
cana-665	78	8	driven	drive	VERB
cana-665	78	9	signal	signal	NOUN
cana-665	78	10	processing	processing	NOUN
cana-665	78	11	technique	technique	NOUN
cana-665	78	12	used	use	VERB
cana-665	78	13	to	to	PART
cana-665	78	14	decompose	decompose	VERB
cana-665	78	15	non	non	ADJ
cana-665	78	16	-	-	ADJ
cana-665	78	17	stationary	stationary	ADJ
cana-665	78	18	and	and	CCONJ
cana-665	78	19	nonlinear	nonlinear	ADJ
cana-665	78	20	signals	signal	NOUN
cana-665	78	21	into	into	ADP
cana-665	78	22	a	a	DET
cana-665	78	23	finite	finite	ADJ
cana-665	78	24	set	set	NOUN
cana-665	78	25	of	of	ADP
cana-665	78	26	intrinsic	intrinsic	ADJ
cana-665	78	27	mode	mode	NOUN
cana-665	78	28	functions	function	NOUN
cana-665	78	29	(	(	PUNCT
cana-665	78	30	imfs	imfs	NOUN
cana-665	78	31	)	)	PUNCT
cana-665	78	32	.	.	PUNCT
cana-665	79	1	each	each	DET
cana-665	79	2	imf	imf	PROPN
cana-665	79	3	represents	represent	VERB
cana-665	79	4	a	a	DET
cana-665	79	5	narrowband	narrowband	NOUN
cana-665	79	6	oscillatory	oscillatory	ADJ
cana-665	79	7	mode	mode	NOUN
cana-665	79	8	with	with	ADP
cana-665	79	9	a	a	DET
cana-665	79	10	characteristic	characteristic	ADJ
cana-665	79	11	frequency	frequency	NOUN
cana-665	79	12	.	.	PUNCT
cana-665	80	1	features	feature	NOUN
cana-665	80	2	extracted	extract	VERB
cana-665	80	3	using	use	VERB
cana-665	80	4	emd	emd	PROPN
cana-665	80	5	capture	capture	NOUN
cana-665	80	6	spectral	spectral	ADJ
cana-665	80	7	and	and	CCONJ
cana-665	80	8	temporal	temporal	ADJ
cana-665	80	9	characteristics	characteristic	NOUN
cana-665	80	10	of	of	ADP
cana-665	80	11	the	the	DET
cana-665	80	12	signal	signal	NOUN
cana-665	80	13	at	at	ADP
cana-665	80	14	different	different	ADJ
cana-665	80	15	frequency	frequency	NOUN
cana-665	80	16	scales	scale	NOUN
cana-665	80	17	.	.	PUNCT
cana-665	81	1	in	in	ADP
cana-665	81	2	this	this	DET
cana-665	81	3	study	study	NOUN
cana-665	81	4	,	,	PUNCT
cana-665	81	5	we	we	PRON
cana-665	81	6	propose	propose	VERB
cana-665	81	7	a	a	DET
cana-665	81	8	comprehensive	comprehensive	ADJ
cana-665	81	9	approach	approach	NOUN
cana-665	81	10	that	that	PRON
cana-665	81	11	integrates	integrate	VERB
cana-665	81	12	morphological	morphological	ADJ
cana-665	81	13	features	feature	NOUN
cana-665	81	14	with	with	ADP
cana-665	81	15	features	feature	NOUN
cana-665	81	16	extracted	extract	VERB
cana-665	81	17	using	use	VERB
cana-665	81	18	emd	emd	PROPN
cana-665	81	19	for	for	ADP
cana-665	81	20	ecg	ecg	PROPN
cana-665	81	21	signal	signal	PROPN
cana-665	81	22	classification	classification	NOUN
cana-665	81	23	.	.	PUNCT
cana-665	82	1	by	by	ADP
cana-665	82	2	combining	combine	VERB
cana-665	82	3	the	the	DET
cana-665	82	4	structural	structural	ADJ
cana-665	82	5	insights	insight	NOUN
cana-665	82	6	offered	offer	VERB
cana-665	82	7	by	by	ADP
cana-665	82	8	morphological	morphological	ADJ
cana-665	82	9	features	feature	NOUN
cana-665	82	10	with	with	ADP
cana-665	82	11	the	the	DET
cana-665	82	12	spectral	spectral	ADJ
cana-665	82	13	and	and	CCONJ
cana-665	82	14	temporal	temporal	ADJ
cana-665	82	15	dynamics	dynamic	NOUN
cana-665	82	16	captured	capture	VERB
cana-665	82	17	through	through	ADP
cana-665	82	18	emd	emd	PROPN
cana-665	82	19	,	,	PUNCT
cana-665	82	20	our	our	PRON
cana-665	82	21	methodology	methodology	NOUN
cana-665	82	22	aims	aim	VERB
cana-665	82	23	to	to	PART
cana-665	82	24	enhance	enhance	VERB
cana-665	82	25	the	the	DET
cana-665	82	26	discriminative	discriminative	NOUN
cana-665	82	27	power	power	NOUN
cana-665	82	28	and	and	CCONJ
cana-665	82	29	diagnostic	diagnostic	ADJ
cana-665	82	30	accuracy	accuracy	NOUN
cana-665	82	31	of	of	ADP
cana-665	82	32	ecg	ecg	PROPN
cana-665	82	33	-	-	PUNCT
cana-665	82	34	based	base	VERB
cana-665	82	35	classification	classification	NOUN
cana-665	82	36	tasks	task	NOUN
cana-665	82	37	.	.	PUNCT
cana-665	83	1	a.	a.	NOUN
cana-665	83	2	morphological	morphological	ADJ
cana-665	83	3	feature	feature	NOUN
cana-665	83	4	extraction	extraction	NOUN
cana-665	83	5	the	the	DET
cana-665	83	6	alterations	alteration	NOUN
cana-665	83	7	in	in	ADP
cana-665	83	8	the	the	DET
cana-665	83	9	ecg	ecg	PROPN
cana-665	83	10	waveform	waveform	VERB
cana-665	83	11	due	due	ADP
cana-665	83	12	to	to	ADP
cana-665	83	13	hyperkalemia	hyperkalemia	NOUN
cana-665	83	14	commence	commence	NOUN
cana-665	83	15	with	with	ADP
cana-665	83	16	tall	tall	ADJ
cana-665	83	17	,	,	PUNCT
cana-665	83	18	peaked	peak	VERB
cana-665	83	19	t	t	NOUN
cana-665	83	20	-	-	PUNCT
cana-665	83	21	waves	wave	NOUN
cana-665	83	22	,	,	PUNCT
cana-665	83	23	followed	follow	VERB
cana-665	83	24	by	by	ADP
cana-665	83	25	a	a	DET
cana-665	83	26	prolongation	prolongation	NOUN
cana-665	83	27	of	of	ADP
cana-665	83	28	the	the	DET
cana-665	83	29	pr	pr	NOUN
cana-665	83	30	interval	interval	NOUN
cana-665	83	31	and	and	CCONJ
cana-665	83	32	flattening	flattening	NOUN
cana-665	83	33	of	of	ADP
cana-665	83	34	the	the	DET
cana-665	83	35	p	p	NOUN
cana-665	83	36	-	-	PUNCT
cana-665	83	37	wave	wave	NOUN
cana-665	83	38	.	.	PUNCT
cana-665	84	1	as	as	SCONJ
cana-665	84	2	hyperkalaemia	hyperkalaemia	NOUN
cana-665	84	3	advances	advance	NOUN
cana-665	84	4	,	,	PUNCT
cana-665	84	5	the	the	DET
cana-665	84	6	qrs	qrs	PROPN
cana-665	84	7	complex	complex	ADJ
cana-665	84	8	broadens	broaden	NOUN
cana-665	84	9	,	,	PUNCT
cana-665	84	10	and	and	CCONJ
cana-665	84	11	in	in	ADP
cana-665	84	12	severe	severe	ADJ
cana-665	84	13	cases	case	NOUN
cana-665	84	14	,	,	PUNCT
cana-665	84	15	it	it	PRON
cana-665	84	16	may	may	AUX
cana-665	84	17	even	even	ADV
cana-665	84	18	merge	merge	VERB
cana-665	84	19	with	with	ADP
cana-665	84	20	the	the	DET
cana-665	84	21	t	t	NOUN
cana-665	84	22	-	-	PUNCT
cana-665	84	23	wave	wave	NOUN
cana-665	84	24	,	,	PUNCT
cana-665	84	25	resulting	result	VERB
cana-665	84	26	in	in	ADP
cana-665	84	27	a	a	DET
cana-665	84	28	sine	sine	ADJ
cana-665	84	29	-	-	PUNCT
cana-665	84	30	wave	wave	NOUN
cana-665	84	31	pattern	pattern	NOUN
cana-665	84	32	[	[	X
cana-665	84	33	16	16	NUM
cana-665	84	34	]	]	PUNCT
cana-665	84	35	.	.	PUNCT
cana-665	85	1	these	these	DET
cana-665	85	2	changes	change	NOUN
cana-665	85	3	are	be	AUX
cana-665	85	4	gradual	gradual	ADJ
cana-665	85	5	,	,	PUNCT
cana-665	85	6	aligning	align	VERB
cana-665	85	7	with	with	ADP
cana-665	85	8	the	the	DET
cana-665	85	9	severity	severity	NOUN
cana-665	85	10	of	of	ADP
cana-665	85	11	hyperkalemia	hyperkalemia	NOUN
cana-665	85	12	;	;	PUNCT
cana-665	85	13	the	the	DET
cana-665	85	14	more	more	ADV
cana-665	85	15	elevated	elevate	VERB
cana-665	85	16	the	the	DET
cana-665	85	17	potassium	potassium	NOUN
cana-665	85	18	levels	level	NOUN
cana-665	85	19	,	,	PUNCT
cana-665	85	20	the	the	DET
cana-665	85	21	more	more	ADV
cana-665	85	22	distinct	distinct	ADJ
cana-665	85	23	the	the	DET
cana-665	85	24	ecg	ecg	PROPN
cana-665	85	25	alterations	alteration	NOUN
cana-665	85	26	become	become	VERB
cana-665	85	27	.	.	PUNCT
cana-665	86	1	five	five	NUM
cana-665	86	2	morphological	morphological	ADJ
cana-665	86	3	features	feature	NOUN
cana-665	86	4	,	,	PUNCT
cana-665	86	5	specifically	specifically	ADV
cana-665	86	6	the	the	DET
cana-665	86	7	amplitude	amplitude	NOUN
cana-665	86	8	of	of	ADP
cana-665	86	9	the	the	DET
cana-665	86	10	p	p	NOUN
cana-665	86	11	wave	wave	NOUN
cana-665	86	12	and	and	CCONJ
cana-665	86	13	t	t	PROPN
cana-665	86	14	wave	wave	NOUN
cana-665	86	15	,	,	PUNCT
cana-665	86	16	length	length	NOUN
cana-665	86	17	of	of	ADP
cana-665	86	18	qrs	qrs	PROPN
cana-665	86	19	segment	segment	NOUN
cana-665	86	20	,	,	PUNCT
cana-665	86	21	length	length	NOUN
cana-665	86	22	of	of	ADP
cana-665	86	23	pr	pr	NOUN
cana-665	86	24	segment	segment	NOUN
cana-665	86	25	and	and	CCONJ
cana-665	86	26	st	st	PROPN
cana-665	86	27	depression	depression	PROPN
cana-665	86	28	,	,	PUNCT
cana-665	86	29	were	be	AUX
cana-665	86	30	extracted	extract	VERB
cana-665	86	31	to	to	PART
cana-665	86	32	capture	capture	VERB
cana-665	86	33	the	the	DET
cana-665	86	34	distinctive	distinctive	ADJ
cana-665	86	35	characteristics	characteristic	NOUN
cana-665	86	36	associated	associate	VERB
cana-665	86	37	with	with	ADP
cana-665	86	38	ecg	ecg	PROPN
cana-665	86	39	changes	change	NOUN
cana-665	86	40	resulting	result	VERB
cana-665	86	41	from	from	ADP
cana-665	86	42	hyperkalemia	hyperkalemia	NOUN
cana-665	86	43	.	.	PUNCT
cana-665	87	1	figure	figure	NOUN
cana-665	87	2	2	2	NUM
cana-665	87	3	shows	show	VERB
cana-665	87	4	the	the	DET
cana-665	87	5	steps	step	NOUN
cana-665	87	6	involved	involve	VERB
cana-665	87	7	in	in	ADP
cana-665	87	8	the	the	DET
cana-665	87	9	feature	feature	NOUN
cana-665	87	10	extraction	extraction	NOUN
cana-665	87	11	algorithm	algorithm	NOUN
cana-665	87	12	used	use	VERB
cana-665	87	13	to	to	PART
cana-665	87	14	extract	extract	VERB
cana-665	87	15	the	the	DET
cana-665	87	16	features	feature	NOUN
cana-665	87	17	.	.	PUNCT
cana-665	88	1	the	the	DET
cana-665	88	2	algorithm	algorithm	NOUN
cana-665	88	3	was	be	AUX
cana-665	88	4	implemented	implement	VERB
cana-665	88	5	using	use	VERB
cana-665	88	6	matlab	matlab	PROPN
cana-665	88	7	.	.	PUNCT
cana-665	89	1	the	the	DET
cana-665	89	2	following	follow	VERB
cana-665	89	3	are	be	AUX
cana-665	89	4	the	the	DET
cana-665	89	5	steps	step	NOUN
cana-665	89	6	to	to	PART
cana-665	89	7	determine	determine	VERB
cana-665	89	8	the	the	DET
cana-665	89	9	five	five	NUM
cana-665	89	10	features	feature	NOUN
cana-665	89	11	1	1	NUM
cana-665	89	12	)	)	PUNCT
cana-665	89	13	preprocessing	preprocessing	NOUN
cana-665	89	14	:	:	PUNCT
cana-665	89	15	the	the	DET
cana-665	89	16	raw	raw	ADJ
cana-665	89	17	signals	signal	NOUN
cana-665	89	18	extracted	extract	VERB
cana-665	89	19	from	from	ADP
cana-665	89	20	the	the	DET
cana-665	89	21	mimics	mimic	NOUN
cana-665	89	22	iv	iv	NUM
cana-665	89	23	database	database	NOUN
cana-665	89	24	contained	contain	VERB
cana-665	89	25	power	power	NOUN
cana-665	89	26	line	line	NOUN
cana-665	89	27	interference	interference	NOUN
cana-665	89	28	noise	noise	NOUN
cana-665	89	29	,	,	PUNCT
cana-665	89	30	muscle	muscle	NOUN
cana-665	89	31	noise	noise	NOUN
cana-665	89	32	and	and	CCONJ
cana-665	89	33	baseline	baseline	ADJ
cana-665	89	34	wander	wander	NOUN
cana-665	89	35	.	.	PUNCT
cana-665	90	1	we	we	PRON
cana-665	90	2	applied	apply	VERB
cana-665	90	3	a	a	DET
cana-665	90	4	3rd	3rd	ADJ
cana-665	90	5	order	order	NOUN
cana-665	90	6	butterworth	butterworth	NOUN
cana-665	90	7	filter	filter	NOUN
cana-665	90	8	to	to	PART
cana-665	90	9	effectively	effectively	ADV
cana-665	90	10	eliminate	eliminate	VERB
cana-665	90	11	the	the	DET
cana-665	90	12	high	high	ADJ
cana-665	90	13	-	-	PUNCT
cana-665	90	14	frequency	frequency	NOUN
cana-665	90	15	noise	noise	NOUN
cana-665	90	16	.	.	PUNCT
cana-665	91	1	additionally	additionally	ADV
cana-665	91	2	,	,	PUNCT
cana-665	91	3	we	we	PRON
cana-665	91	4	employed	employ	VERB
cana-665	91	5	a	a	DET
cana-665	91	6	4th	4th	ADJ
cana-665	91	7	order	order	NOUN
cana-665	91	8	butterworth	butterworth	NOUN
cana-665	91	9	filter	filter	NOUN
cana-665	91	10	to	to	PART
cana-665	91	11	remove	remove	VERB
cana-665	91	12	baseline	baseline	NOUN
cana-665	91	13	wander	wander	NOUN
cana-665	91	14	from	from	ADP
cana-665	91	15	the	the	DET
cana-665	91	16	signals	signal	NOUN
cana-665	91	17	.	.	PUNCT
cana-665	92	1	to	to	PART
cana-665	92	2	ensure	ensure	VERB
cana-665	92	3	consistency	consistency	NOUN
cana-665	92	4	and	and	CCONJ
cana-665	92	5	facilitate	facilitate	VERB
cana-665	92	6	accurate	accurate	ADJ
cana-665	92	7	feature	feature	NOUN
cana-665	92	8	extraction	extraction	NOUN
cana-665	92	9	,	,	PUNCT
cana-665	92	10	the	the	DET
cana-665	92	11	signals	signal	NOUN
cana-665	92	12	were	be	AUX
cana-665	92	13	normalized	normalize	VERB
cana-665	92	14	before	before	ADP
cana-665	92	15	feature	feature	NOUN
cana-665	92	16	extraction	extraction	NOUN
cana-665	92	17	2	2	NUM
cana-665	92	18	)	)	PUNCT
cana-665	92	19	r	r	NOUN
cana-665	92	20	-	-	PUNCT
cana-665	92	21	peak	peak	NOUN
cana-665	92	22	detection	detection	NOUN
cana-665	92	23	:	:	PUNCT
cana-665	92	24	locate	locate	VERB
cana-665	92	25	r	r	NOUN
cana-665	92	26	-	-	PUNCT
cana-665	92	27	peaks	peak	NOUN
cana-665	92	28	using	use	VERB
cana-665	92	29	the	the	DET
cana-665	92	30	following	follow	VERB
cana-665	92	31	steps	step	NOUN
cana-665	92	32	:	:	PUNCT
cana-665	92	33	a	a	X
cana-665	92	34	)	)	PUNCT
cana-665	92	35	apply	apply	VERB
cana-665	92	36	the	the	DET
cana-665	92	37	findpeaks	findpeak	NOUN
cana-665	92	38	function	function	NOUN
cana-665	92	39	in	in	ADP
cana-665	92	40	matlab	matlab	PROPN
cana-665	92	41	to	to	PART
cana-665	92	42	identify	identify	VERB
cana-665	92	43	peaks	peak	NOUN
cana-665	92	44	in	in	ADP
cana-665	92	45	the	the	DET
cana-665	92	46	signal	signal	NOUN
cana-665	92	47	with	with	ADP
cana-665	92	48	a	a	DET
cana-665	92	49	minimum	minimum	ADJ
cana-665	92	50	distance	distance	NOUN
cana-665	92	51	constraint	constraint	NOUN
cana-665	92	52	of	of	ADP
cana-665	92	53	0.6	0.6	NUM
cana-665	92	54	.	.	PUNCT
cana-665	93	1	b	b	X
cana-665	93	2	)	)	PUNCT
cana-665	93	3	calculate	calculate	NOUN
cana-665	93	4	the	the	DET
cana-665	93	5	initial	initial	ADJ
cana-665	93	6	minpeakheight	minpeakheight	NOUN
cana-665	93	7	by	by	ADP
cana-665	93	8	setting	set	VERB
cana-665	93	9	it	it	PRON
cana-665	93	10	to	to	ADP
cana-665	93	11	the	the	DET
cana-665	93	12	mean	mean	NOUN
cana-665	93	13	of	of	ADP
cana-665	93	14	the	the	DET
cana-665	93	15	signal	signal	NOUN
cana-665	93	16	minus	minus	CCONJ
cana-665	93	17	0.6	0.6	NUM
cana-665	93	18	times	time	NOUN
cana-665	93	19	the	the	DET
cana-665	93	20	standard	standard	ADJ
cana-665	93	21	deviation	deviation	NOUN
cana-665	93	22	of	of	ADP
cana-665	93	23	the	the	DET
cana-665	93	24	signal	signal	NOUN
cana-665	93	25	.	.	PUNCT
cana-665	94	1	communications	communication	NOUN
cana-665	94	2	on	on	ADP
cana-665	94	3	applied	apply	VERB
cana-665	94	4	nonlinear	nonlinear	ADJ
cana-665	94	5	analysis	analysis	NOUN
cana-665	94	6	issn	issn	NOUN
cana-665	94	7	:	:	PUNCT
cana-665	94	8	1074	1074	NUM
cana-665	94	9	-	-	PUNCT
cana-665	94	10	133x	133x	NUM
cana-665	94	11	vol	vol	NOUN
cana-665	94	12	31	31	NUM
cana-665	94	13	no	no	NOUN
cana-665	94	14	.	.	PUNCT
cana-665	95	1	2s	2s	NUM
cana-665	95	2	(	(	PUNCT
cana-665	95	3	2024	2024	NUM
cana-665	95	4	)	)	PUNCT
cana-665	95	5	537	537	NUM
cana-665	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	95	7	c	c	X
cana-665	95	8	)	)	PUNCT
cana-665	95	9	rerun	rerun	VERB
cana-665	95	10	the	the	DET
cana-665	95	11	findpeaks	findpeak	NOUN
cana-665	95	12	function	function	VERB
cana-665	95	13	on	on	ADP
cana-665	95	14	the	the	DET
cana-665	95	15	signal	signal	NOUN
cana-665	95	16	,	,	PUNCT
cana-665	95	17	this	this	DET
cana-665	95	18	time	time	NOUN
cana-665	95	19	with	with	ADP
cana-665	95	20	minpeakheight	minpeakheight	NOUN
cana-665	95	21	set	set	VERB
cana-665	95	22	to	to	ADP
cana-665	95	23	the	the	DET
cana-665	95	24	mean	mean	NOUN
cana-665	95	25	of	of	ADP
cana-665	95	26	all	all	DET
cana-665	95	27	previously	previously	ADV
cana-665	95	28	detected	detect	VERB
cana-665	95	29	peaks	peak	NOUN
cana-665	95	30	plus	plus	CCONJ
cana-665	95	31	0.2	0.2	NUM
cana-665	95	32	times	time	NOUN
cana-665	95	33	the	the	DET
cana-665	95	34	standard	standard	ADJ
cana-665	95	35	deviation	deviation	NOUN
cana-665	95	36	of	of	ADP
cana-665	95	37	the	the	DET
cana-665	95	38	signal	signal	NOUN
cana-665	95	39	.	.	PUNCT
cana-665	96	1	this	this	DET
cana-665	96	2	step	step	NOUN
cana-665	96	3	ensures	ensure	VERB
cana-665	96	4	that	that	SCONJ
cana-665	96	5	all	all	DET
cana-665	96	6	peaks	peak	NOUN
cana-665	96	7	detected	detect	VERB
cana-665	96	8	are	be	AUX
cana-665	96	9	r	r	NOUN
cana-665	96	10	peaks	peak	NOUN
cana-665	96	11	.	.	PUNCT
cana-665	97	1	for	for	SCONJ
cana-665	97	2	each	each	DET
cana-665	97	3	r	r	NOUN
cana-665	97	4	peak	peak	NOUN
cana-665	97	5	detected	detect	VERB
cana-665	97	6	,	,	PUNCT
cana-665	97	7	q	q	NOUN
cana-665	97	8	point	point	NOUN
cana-665	97	9	is	be	AUX
cana-665	97	10	obtained	obtain	VERB
cana-665	97	11	by	by	ADP
cana-665	97	12	locating	locate	VERB
cana-665	97	13	the	the	DET
cana-665	97	14	lowest	low	ADJ
cana-665	97	15	signal	signal	NOUN
cana-665	97	16	value	value	NOUN
cana-665	97	17	in	in	ADP
cana-665	97	18	the	the	DET
cana-665	97	19	interval	interval	NOUN
cana-665	97	20	of	of	ADP
cana-665	97	21	20ms	20ms	ADJ
cana-665	97	22	before	before	SCONJ
cana-665	97	23	r	r	NOUN
cana-665	97	24	peak	peak	NOUN
cana-665	97	25	and	and	CCONJ
cana-665	97	26	s	s	PART
cana-665	97	27	point	point	NOUN
cana-665	97	28	is	be	AUX
cana-665	97	29	obtained	obtain	VERB
cana-665	97	30	by	by	ADP
cana-665	97	31	locating	locate	VERB
cana-665	97	32	the	the	DET
cana-665	97	33	lowest	low	ADJ
cana-665	97	34	signal	signal	NOUN
cana-665	97	35	value	value	NOUN
cana-665	97	36	in	in	ADP
cana-665	97	37	the	the	DET
cana-665	97	38	interval	interval	NOUN
cana-665	97	39	of	of	ADP
cana-665	97	40	20ms	20ms	ADJ
cana-665	97	41	after	after	ADP
cana-665	97	42	r	r	NOUN
cana-665	97	43	peak	peak	NOUN
cana-665	97	44	.	.	PUNCT
cana-665	98	1	3	3	X
cana-665	98	2	)	)	PUNCT
cana-665	98	3	q	q	NOUN
cana-665	98	4	,	,	PUNCT
cana-665	98	5	r	r	NOUN
cana-665	98	6	,	,	PUNCT
cana-665	98	7	and	and	CCONJ
cana-665	98	8	s	s	NOUN
cana-665	98	9	peak	peak	NOUN
cana-665	98	10	detection	detection	NOUN
cana-665	98	11	:	:	PUNCT
cana-665	98	12	for	for	ADP
cana-665	98	13	each	each	DET
cana-665	98	14	detected	detect	VERB
cana-665	98	15	r	r	NOUN
cana-665	98	16	-	-	PUNCT
cana-665	98	17	peak	peak	NOUN
cana-665	98	18	,	,	PUNCT
cana-665	98	19	obtain	obtain	VERB
cana-665	98	20	the	the	DET
cana-665	98	21	q	q	NOUN
cana-665	98	22	point	point	NOUN
cana-665	98	23	by	by	ADP
cana-665	98	24	locating	locate	VERB
cana-665	98	25	the	the	DET
cana-665	98	26	lowest	low	ADJ
cana-665	98	27	signal	signal	NOUN
cana-665	98	28	value	value	NOUN
cana-665	98	29	in	in	ADP
cana-665	98	30	the	the	DET
cana-665	98	31	25ms	25ms	ADJ
cana-665	98	32	interval	interval	NOUN
cana-665	98	33	before	before	ADP
cana-665	98	34	the	the	DET
cana-665	98	35	r	r	NOUN
cana-665	98	36	-	-	PUNCT
cana-665	98	37	peak	peak	NOUN
cana-665	98	38	.	.	PUNCT
cana-665	99	1	similarly	similarly	ADV
cana-665	99	2	,	,	PUNCT
cana-665	99	3	obtain	obtain	VERB
cana-665	99	4	the	the	DET
cana-665	99	5	s	s	NOUN
cana-665	99	6	point	point	NOUN
cana-665	99	7	by	by	ADP
cana-665	99	8	locating	locate	VERB
cana-665	99	9	the	the	DET
cana-665	99	10	lowest	low	ADJ
cana-665	99	11	signal	signal	NOUN
cana-665	99	12	value	value	NOUN
cana-665	99	13	in	in	ADP
cana-665	99	14	the	the	DET
cana-665	99	15	25ms	25ms	ADJ
cana-665	99	16	interval	interval	NOUN
cana-665	99	17	after	after	ADP
cana-665	99	18	the	the	DET
cana-665	99	19	r	r	NOUN
cana-665	99	20	-	-	PUNCT
cana-665	99	21	peak	peak	NOUN
cana-665	99	22	.	.	PUNCT
cana-665	100	1	4	4	NUM
cana-665	100	2	)	)	PUNCT
cana-665	100	3	qrs	qrs	NOUN
cana-665	100	4	interval	interval	NOUN
cana-665	100	5	:	:	PUNCT
cana-665	100	6	calculate	calculate	VERB
cana-665	100	7	the	the	DET
cana-665	100	8	qrs	qrs	PROPN
cana-665	100	9	interval	interval	NOUN
cana-665	100	10	by	by	ADP
cana-665	100	11	subtracting	subtract	VERB
cana-665	100	12	the	the	DET
cana-665	100	13	s	s	NOUN
cana-665	100	14	point	point	NOUN
cana-665	100	15	from	from	ADP
cana-665	100	16	the	the	DET
cana-665	100	17	q	q	NOUN
cana-665	100	18	point	point	NOUN
cana-665	100	19	.	.	PUNCT
cana-665	101	1	5	5	X
cana-665	101	2	)	)	PUNCT
cana-665	101	3	p	p	NOUN
cana-665	101	4	peak	peak	NOUN
cana-665	101	5	and	and	CCONJ
cana-665	101	6	pr	pr	NOUN
cana-665	101	7	interval	interval	NOUN
cana-665	101	8	:	:	PUNCT
cana-665	101	9	obtain	obtain	VERB
cana-665	101	10	the	the	DET
cana-665	101	11	p	p	NOUN
cana-665	101	12	peak	peak	NOUN
cana-665	101	13	point	point	NOUN
cana-665	101	14	by	by	ADP
cana-665	101	15	locating	locate	VERB
cana-665	101	16	the	the	DET
cana-665	101	17	highest	high	ADJ
cana-665	101	18	peak	peak	NOUN
cana-665	101	19	25ms	25ms	ADV
cana-665	101	20	before	before	ADP
cana-665	101	21	the	the	DET
cana-665	101	22	q	q	NOUN
cana-665	101	23	point	point	NOUN
cana-665	101	24	.	.	PUNCT
cana-665	102	1	calculate	calculate	VERB
cana-665	102	2	the	the	DET
cana-665	102	3	pr	pr	NOUN
cana-665	102	4	interval	interval	NOUN
cana-665	102	5	as	as	ADP
cana-665	102	6	the	the	DET
cana-665	102	7	difference	difference	NOUN
cana-665	102	8	between	between	ADP
cana-665	102	9	the	the	DET
cana-665	102	10	r	r	NOUN
cana-665	102	11	peak	peak	NOUN
cana-665	102	12	and	and	CCONJ
cana-665	102	13	the	the	DET
cana-665	102	14	p	p	NOUN
cana-665	102	15	peak	peak	NOUN
cana-665	102	16	point	point	NOUN
cana-665	102	17	.	.	PUNCT
cana-665	103	1	6	6	NUM
cana-665	103	2	)	)	PUNCT
cana-665	103	3	t	t	NOUN
cana-665	103	4	peak	peak	NOUN
cana-665	103	5	and	and	CCONJ
cana-665	103	6	st	st	PROPN
cana-665	103	7	depression	depression	PROPN
cana-665	103	8	:	:	PUNCT
cana-665	103	9	the	the	DET
cana-665	103	10	following	follow	VERB
cana-665	103	11	are	be	AUX
cana-665	103	12	the	the	DET
cana-665	103	13	steps	step	NOUN
cana-665	103	14	to	to	PART
cana-665	103	15	calculate	calculate	VERB
cana-665	103	16	st	st	PROPN
cana-665	103	17	depression	depression	PROPN
cana-665	103	18	a	a	PRON
cana-665	103	19	)	)	PUNCT
cana-665	103	20	locate	locate	NOUN
cana-665	103	21	the	the	DET
cana-665	103	22	t	t	NOUN
cana-665	103	23	point	point	NOUN
cana-665	103	24	by	by	ADP
cana-665	103	25	finding	find	VERB
cana-665	103	26	the	the	DET
cana-665	103	27	highest	high	ADJ
cana-665	103	28	signal	signal	NOUN
cana-665	103	29	value	value	NOUN
cana-665	103	30	37ms	37ms	ADJ
cana-665	103	31	after	after	ADP
cana-665	103	32	the	the	DET
cana-665	103	33	s	s	PART
cana-665	103	34	point	point	NOUN
cana-665	103	35	.	.	PUNCT
cana-665	104	1	b	b	X
cana-665	104	2	)	)	PUNCT
cana-665	104	3	calculate	calculate	NOUN
cana-665	104	4	the	the	DET
cana-665	104	5	st	st	PROPN
cana-665	104	6	depression	depression	NOUN
cana-665	104	7	by	by	ADP
cana-665	104	8	taking	take	VERB
cana-665	104	9	the	the	DET
cana-665	104	10	mean	mean	NOUN
cana-665	104	11	of	of	ADP
cana-665	104	12	values	value	NOUN
cana-665	104	13	between	between	ADP
cana-665	104	14	the	the	DET
cana-665	104	15	s	s	NOUN
cana-665	104	16	point	point	NOUN
cana-665	104	17	and	and	CCONJ
cana-665	104	18	the	the	DET
cana-665	104	19	t	t	NOUN
cana-665	104	20	point	point	NOUN
cana-665	104	21	where	where	SCONJ
cana-665	104	22	values	value	NOUN
cana-665	104	23	are	be	AUX
cana-665	104	24	less	less	ADJ
cana-665	104	25	than	than	ADP
cana-665	104	26	0	0	NUM
cana-665	104	27	as	as	SCONJ
cana-665	104	28	shown	show	VERB
cana-665	104	29	is	be	AUX
cana-665	104	30	fig	fig	NOUN
cana-665	104	31	3	3	NUM
cana-665	104	32	.	.	NOUN
cana-665	104	33	7	7	NUM
cana-665	104	34	)	)	PUNCT
cana-665	104	35	calculate	calculate	VERB
cana-665	104	36	the	the	DET
cana-665	104	37	feature	feature	NOUN
cana-665	104	38	values	value	NOUN
cana-665	104	39	from	from	ADP
cana-665	104	40	the	the	DET
cana-665	104	41	pqrst	pqrst	ADJ
cana-665	104	42	points	point	NOUN
cana-665	104	43	detected	detect	VERB
cana-665	104	44	as	as	SCONJ
cana-665	104	45	follows	follow	VERB
cana-665	104	46	:	:	PUNCT
cana-665	104	47	p	p	NOUN
cana-665	104	48	interval	interval	NOUN
cana-665	104	49	=	=	SYM
cana-665	104	50	pend	pend	PROPN
cana-665	104	51	–	–	PUNCT
cana-665	104	52	pstart	pstart	NOUN
cana-665	104	53	(	(	PUNCT
cana-665	104	54	1	1	NUM
cana-665	104	55	)	)	PUNCT
cana-665	104	56	pr	pr	NOUN
cana-665	104	57	interval	interval	NOUN
cana-665	105	1	=	=	NOUN
cana-665	105	2	rpeak	rpeak	NOUN
cana-665	105	3	–	–	PUNCT
cana-665	105	4	p	p	X
cana-665	105	5	start	start	NOUN
cana-665	105	6	(	(	PUNCT
cana-665	105	7	2	2	X
cana-665	105	8	)	)	PUNCT
cana-665	105	9	qrs	qrs	NOUN
cana-665	105	10	interval	interval	NOUN
cana-665	105	11	=	=	SYM
cana-665	105	12	s	s	PART
cana-665	105	13	point	point	NOUN
cana-665	105	14	–	–	PUNCT
cana-665	105	15	q	q	NOUN
cana-665	105	16	start	start	NOUN
cana-665	105	17	(	(	PUNCT
cana-665	105	18	3	3	X
cana-665	105	19	)	)	PUNCT
cana-665	105	20	t	t	NOUN
cana-665	105	21	interval	interval	NOUN
cana-665	105	22	=	=	PRON
cana-665	105	23	tend	tend	VERB
cana-665	105	24	–	–	PUNCT
cana-665	105	25	t	t	X
cana-665	105	26	start	start	NOUN
cana-665	105	27	(	(	PUNCT
cana-665	105	28	4	4	NUM
cana-665	105	29	)	)	PUNCT
cana-665	105	30	st	st	NOUN
cana-665	105	31	depression	depression	NOUN
cana-665	105	32	(	(	PUNCT
cana-665	105	33	5	5	NUM
cana-665	105	34	)	)	PUNCT
cana-665	105	35	8)	8)	NUM
cana-665	105	36	for	for	ADP
cana-665	105	37	each	each	DET
cana-665	105	38	signal	signal	NOUN
cana-665	105	39	,	,	PUNCT
cana-665	105	40	take	take	VERB
cana-665	105	41	the	the	DET
cana-665	105	42	mean	mean	ADJ
cana-665	105	43	values	value	NOUN
cana-665	105	44	of	of	ADP
cana-665	105	45	all	all	DET
cana-665	105	46	the	the	DET
cana-665	105	47	extracted	extract	VERB
cana-665	105	48	features	feature	NOUN
cana-665	105	49	.	.	PUNCT
cana-665	106	1	figure	figure	NOUN
cana-665	106	2	2	2	NUM
cana-665	106	3	.	.	PUNCT
cana-665	106	4	feature	feature	NOUN
cana-665	106	5	extraction	extraction	NOUN
cana-665	106	6	flowchart	flowchart	NOUN
cana-665	106	7	communications	communication	NOUN
cana-665	106	8	on	on	ADP
cana-665	106	9	applied	apply	VERB
cana-665	106	10	nonlinear	nonlinear	ADJ
cana-665	106	11	analysis	analysis	NOUN
cana-665	106	12	issn	issn	NOUN
cana-665	106	13	:	:	PUNCT
cana-665	106	14	1074	1074	NUM
cana-665	106	15	-	-	PUNCT
cana-665	106	16	133x	133x	NUM
cana-665	106	17	vol	vol	NOUN
cana-665	106	18	31	31	NUM
cana-665	106	19	no	no	NOUN
cana-665	106	20	.	.	PUNCT
cana-665	107	1	2s	2s	NUM
cana-665	107	2	(	(	PUNCT
cana-665	107	3	2024	2024	NUM
cana-665	107	4	)	)	PUNCT
cana-665	107	5	538	538	NUM
cana-665	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	107	7	figure	figure	NOUN
cana-665	107	8	4	4	NUM
cana-665	107	9	shows	show	VERB
cana-665	107	10	the	the	DET
cana-665	107	11	plot	plot	NOUN
cana-665	107	12	highlighting	highlight	VERB
cana-665	107	13	the	the	DET
cana-665	107	14	p	p	X
cana-665	107	15	,	,	PUNCT
cana-665	107	16	qrs	qrs	PROPN
cana-665	107	17	,	,	PUNCT
cana-665	107	18	and	and	CCONJ
cana-665	107	19	t	t	NOUN
cana-665	107	20	peaks	peak	NOUN
cana-665	107	21	and	and	CCONJ
cana-665	107	22	pwave	pwave	ADJ
cana-665	107	23	and	and	CCONJ
cana-665	107	24	twave	twave	VERB
cana-665	107	25	detected	detect	VERB
cana-665	107	26	using	use	VERB
cana-665	107	27	the	the	DET
cana-665	107	28	proposed	propose	VERB
cana-665	107	29	algorithm	algorithm	NOUN
cana-665	107	30	.	.	PUNCT
cana-665	108	1	the	the	DET
cana-665	108	2	five	five	NUM
cana-665	108	3	features	feature	NOUN
cana-665	108	4	extracted	extract	VERB
cana-665	108	5	using	use	VERB
cana-665	108	6	the	the	DET
cana-665	108	7	algorithm	algorithm	NOUN
cana-665	108	8	are	be	AUX
cana-665	108	9	p	p	NOUN
cana-665	108	10	interval	interval	NOUN
cana-665	108	11	,	,	PUNCT
cana-665	108	12	pr	pr	NOUN
cana-665	108	13	interval	interval	NOUN
cana-665	108	14	,	,	PUNCT
cana-665	108	15	qrs	qrs	PROPN
cana-665	108	16	interval	interval	NOUN
cana-665	108	17	,	,	PUNCT
cana-665	108	18	t	t	NOUN
cana-665	108	19	interval	interval	NOUN
cana-665	108	20	and	and	CCONJ
cana-665	108	21	st	st	PROPN
cana-665	108	22	depression	depression	PROPN
cana-665	108	23	figure	figure	NOUN
cana-665	108	24	3	3	NUM
cana-665	108	25	.	.	PUNCT
cana-665	108	26	st	st	PROPN
cana-665	108	27	depression	depression	PROPN
cana-665	108	28	figure	figure	NOUN
cana-665	108	29	4	4	NUM
cana-665	108	30	:	:	PUNCT
cana-665	108	31	ecg	ecg	PROPN
cana-665	108	32	signal	signal	NOUN
cana-665	108	33	with	with	ADP
cana-665	108	34	extracted	extract	VERB
cana-665	108	35	features	feature	NOUN
cana-665	108	36	b.	b.	PROPN
cana-665	108	37	empirical	empirical	ADJ
cana-665	108	38	mode	mode	NOUN
cana-665	108	39	decomposition	decomposition	NOUN
cana-665	108	40	empirical	empirical	ADJ
cana-665	108	41	mode	mode	NOUN
cana-665	108	42	decomposition	decomposition	NOUN
cana-665	108	43	(	(	PUNCT
cana-665	108	44	emd	emd	X
cana-665	108	45	)	)	PUNCT
cana-665	108	46	is	be	AUX
cana-665	108	47	a	a	DET
cana-665	108	48	technique	technique	NOUN
cana-665	108	49	used	use	VERB
cana-665	108	50	in	in	ADP
cana-665	108	51	signal	signal	ADJ
cana-665	108	52	processing	processing	NOUN
cana-665	108	53	which	which	PRON
cana-665	108	54	decomposes	decompose	VERB
cana-665	108	55	non	non	ADJ
cana-665	108	56	-	-	ADJ
cana-665	108	57	stationary	stationary	ADJ
cana-665	108	58	and	and	CCONJ
cana-665	108	59	nonlinear	nonlinear	ADJ
cana-665	108	60	signals	signal	NOUN
cana-665	108	61	into	into	ADP
cana-665	108	62	a	a	DET
cana-665	108	63	limited	limited	ADJ
cana-665	108	64	set	set	NOUN
cana-665	108	65	of	of	ADP
cana-665	108	66	intrinsic	intrinsic	ADJ
cana-665	108	67	mode	mode	NOUN
cana-665	108	68	functions	function	NOUN
cana-665	108	69	(	(	PUNCT
cana-665	108	70	imfs	imfs	NOUN
cana-665	108	71	)	)	PUNCT
cana-665	108	72	.	.	PUNCT
cana-665	109	1	this	this	DET
cana-665	109	2	method	method	NOUN
cana-665	109	3	is	be	AUX
cana-665	109	4	particularly	particularly	ADV
cana-665	109	5	effective	effective	ADJ
cana-665	109	6	for	for	ADP
cana-665	109	7	analyzing	analyze	VERB
cana-665	109	8	complex	complex	ADJ
cana-665	109	9	signals	signal	NOUN
cana-665	109	10	such	such	ADJ
cana-665	109	11	as	as	ADP
cana-665	109	12	electrocardiogram	electrocardiogram	NOUN
cana-665	109	13	(	(	PUNCT
cana-665	109	14	ecg	ecg	PROPN
cana-665	109	15	)	)	PUNCT
cana-665	109	16	recordings	recording	NOUN
cana-665	109	17	.	.	PUNCT
cana-665	110	1	emd	emd	PROPN
cana-665	110	2	iteratively	iteratively	ADV
cana-665	110	3	sifts	sift	VERB
cana-665	110	4	through	through	ADP
cana-665	110	5	the	the	DET
cana-665	110	6	signal	signal	NOUN
cana-665	110	7	,	,	PUNCT
cana-665	110	8	extracting	extract	VERB
cana-665	110	9	imfs	imfs	NOUN
cana-665	110	10	that	that	PRON
cana-665	110	11	represent	represent	VERB
cana-665	110	12	narrowband	narrowband	NOUN
cana-665	110	13	oscillatory	oscillatory	ADJ
cana-665	110	14	modes	mode	NOUN
cana-665	110	15	with	with	ADP
cana-665	110	16	characteristic	characteristic	ADJ
cana-665	110	17	frequencies	frequency	NOUN
cana-665	110	18	.	.	PUNCT
cana-665	111	1	imfs	imfs	PROPN
cana-665	111	2	possess	possess	VERB
cana-665	111	3	two	two	NUM
cana-665	111	4	key	key	ADJ
cana-665	111	5	properties	property	NOUN
cana-665	111	6	:	:	PUNCT
cana-665	111	7	(	(	PUNCT
cana-665	111	8	1	1	X
cana-665	111	9	)	)	PUNCT
cana-665	111	10	the	the	DET
cana-665	111	11	number	number	NOUN
cana-665	111	12	of	of	ADP
cana-665	111	13	extrema	extrema	NOUN
cana-665	111	14	and	and	CCONJ
cana-665	111	15	zero	zero	NUM
cana-665	111	16	-	-	PUNCT
cana-665	111	17	crossings	crossing	NOUN
cana-665	111	18	must	must	AUX
cana-665	111	19	either	either	CCONJ
cana-665	111	20	be	be	AUX
cana-665	111	21	equal	equal	ADJ
cana-665	111	22	or	or	CCONJ
cana-665	111	23	differ	differ	VERB
cana-665	111	24	by	by	ADP
cana-665	111	25	at	at	ADP
cana-665	111	26	most	most	ADV
cana-665	111	27	one	one	NUM
cana-665	111	28	,	,	PUNCT
cana-665	111	29	and	and	CCONJ
cana-665	111	30	(	(	PUNCT
cana-665	111	31	2	2	X
cana-665	111	32	)	)	PUNCT
cana-665	111	33	the	the	DET
cana-665	111	34	mean	mean	ADJ
cana-665	111	35	value	value	NOUN
cana-665	111	36	of	of	ADP
cana-665	111	37	the	the	DET
cana-665	111	38	envelopes	envelope	NOUN
cana-665	111	39	defined	define	VERB
cana-665	111	40	by	by	ADP
cana-665	111	41	local	local	ADJ
cana-665	111	42	maxima	maxima	NOUN
cana-665	111	43	and	and	CCONJ
cana-665	111	44	minima	minima	NOUN
cana-665	111	45	must	must	AUX
cana-665	111	46	be	be	AUX
cana-665	111	47	zero	zero	NUM
cana-665	111	48	.	.	PUNCT
cana-665	112	1	these	these	DET
cana-665	112	2	properties	property	NOUN
cana-665	112	3	ensure	ensure	VERB
cana-665	112	4	that	that	SCONJ
cana-665	112	5	imfs	imfs	PROPN
cana-665	112	6	communications	communication	NOUN
cana-665	112	7	on	on	ADP
cana-665	112	8	applied	apply	VERB
cana-665	112	9	nonlinear	nonlinear	ADJ
cana-665	112	10	analysis	analysis	NOUN
cana-665	112	11	issn	issn	NOUN
cana-665	112	12	:	:	PUNCT
cana-665	112	13	1074	1074	NUM
cana-665	112	14	-	-	PUNCT
cana-665	112	15	133x	133x	NUM
cana-665	112	16	vol	vol	NOUN
cana-665	112	17	31	31	NUM
cana-665	112	18	no	no	NOUN
cana-665	112	19	.	.	PUNCT
cana-665	113	1	2s	2s	NUM
cana-665	113	2	(	(	PUNCT
cana-665	113	3	2024	2024	NUM
cana-665	113	4	)	)	PUNCT
cana-665	113	5	539	539	NUM
cana-665	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	113	7	effectively	effectively	ADV
cana-665	113	8	capture	capture	VERB
cana-665	113	9	the	the	DET
cana-665	113	10	inherent	inherent	ADJ
cana-665	113	11	oscillatory	oscillatory	ADJ
cana-665	113	12	modes	mode	NOUN
cana-665	113	13	present	present	ADJ
cana-665	113	14	in	in	ADP
cana-665	113	15	the	the	DET
cana-665	113	16	signal	signal	NOUN
cana-665	113	17	.	.	PUNCT
cana-665	114	1	figure	figure	NOUN
cana-665	114	2	5	5	NUM
cana-665	114	3	shows	show	VERB
cana-665	114	4	the	the	DET
cana-665	114	5	imfs	imfs	NOUN
cana-665	114	6	obtained	obtain	VERB
cana-665	114	7	from	from	ADP
cana-665	114	8	emd	emd	PROPN
cana-665	114	9	.	.	PROPN
cana-665	115	1	among	among	ADP
cana-665	115	2	the	the	DET
cana-665	115	3	imfs	imfs	NOUN
cana-665	115	4	extracted	extract	VERB
cana-665	115	5	through	through	ADP
cana-665	115	6	emd	emd	PROPN
cana-665	115	7	,	,	PUNCT
cana-665	115	8	imf	imf	PROPN
cana-665	115	9	2	2	NUM
cana-665	115	10	is	be	AUX
cana-665	115	11	particularly	particularly	ADV
cana-665	115	12	well	well	ADV
cana-665	115	13	-	-	PUNCT
cana-665	115	14	suited	suited	ADJ
cana-665	115	15	for	for	ADP
cana-665	115	16	ecg	ecg	PROPN
cana-665	115	17	analysis	analysis	NOUN
cana-665	115	18	due	due	ADP
cana-665	115	19	to	to	ADP
cana-665	115	20	its	its	PRON
cana-665	115	21	relevance	relevance	NOUN
cana-665	115	22	to	to	ADP
cana-665	115	23	the	the	DET
cana-665	115	24	characteristic	characteristic	ADJ
cana-665	115	25	frequency	frequency	NOUN
cana-665	115	26	range	range	NOUN
cana-665	115	27	of	of	ADP
cana-665	115	28	ecg	ecg	PROPN
cana-665	115	29	waveforms	waveform	NOUN
cana-665	115	30	.	.	PUNCT
cana-665	116	1	imf	imf	PROPN
cana-665	116	2	2	2	NUM
cana-665	116	3	often	often	ADV
cana-665	116	4	captures	capture	VERB
cana-665	116	5	the	the	DET
cana-665	116	6	fundamental	fundamental	ADJ
cana-665	116	7	oscillatory	oscillatory	ADJ
cana-665	116	8	component	component	NOUN
cana-665	116	9	corresponding	correspond	VERB
cana-665	116	10	to	to	ADP
cana-665	116	11	the	the	DET
cana-665	116	12	heart	heart	NOUN
cana-665	116	13	rate	rate	NOUN
cana-665	116	14	frequency	frequency	NOUN
cana-665	116	15	,	,	PUNCT
cana-665	116	16	making	make	VERB
cana-665	116	17	it	it	PRON
cana-665	116	18	highly	highly	ADV
cana-665	116	19	informative	informative	ADJ
cana-665	116	20	for	for	ADP
cana-665	116	21	cardiac	cardiac	ADJ
cana-665	116	22	signal	signal	NOUN
cana-665	116	23	analysis	analysis	NOUN
cana-665	116	24	.	.	PUNCT
cana-665	117	1	additionally	additionally	ADV
cana-665	117	2	,	,	PUNCT
cana-665	117	3	imf	imf	PROPN
cana-665	117	4	2	2	NUM
cana-665	117	5	tends	tend	VERB
cana-665	117	6	to	to	PART
cana-665	117	7	exhibit	exhibit	VERB
cana-665	117	8	prominent	prominent	ADJ
cana-665	117	9	features	feature	NOUN
cana-665	117	10	related	relate	VERB
cana-665	117	11	to	to	ADP
cana-665	117	12	the	the	DET
cana-665	117	13	main	main	ADJ
cana-665	117	14	cardiac	cardiac	ADJ
cana-665	117	15	events	event	NOUN
cana-665	117	16	,	,	PUNCT
cana-665	117	17	such	such	ADJ
cana-665	117	18	as	as	ADP
cana-665	117	19	the	the	DET
cana-665	117	20	p	p	NOUN
cana-665	117	21	-	-	PUNCT
cana-665	117	22	wave	wave	NOUN
cana-665	117	23	,	,	PUNCT
cana-665	117	24	qrs	qrs	PROPN
cana-665	117	25	complex	complex	NOUN
cana-665	117	26	,	,	PUNCT
cana-665	117	27	and	and	CCONJ
cana-665	117	28	t	t	NOUN
cana-665	117	29	-	-	PUNCT
cana-665	117	30	wave	wave	NOUN
cana-665	117	31	,	,	PUNCT
cana-665	117	32	making	make	VERB
cana-665	117	33	it	it	PRON
cana-665	117	34	a	a	DET
cana-665	117	35	valuable	valuable	ADJ
cana-665	117	36	source	source	NOUN
cana-665	117	37	of	of	ADP
cana-665	117	38	information	information	NOUN
cana-665	117	39	for	for	ADP
cana-665	117	40	characterizing	characterize	VERB
cana-665	117	41	ecg	ecg	PROPN
cana-665	117	42	morphology	morphology	NOUN
cana-665	117	43	and	and	CCONJ
cana-665	117	44	dynamics	dynamic	NOUN
cana-665	117	45	.	.	PUNCT
cana-665	118	1	from	from	ADP
cana-665	118	2	imf	imf	PROPN
cana-665	118	3	2	2	NUM
cana-665	118	4	obtained	obtain	VERB
cana-665	118	5	through	through	ADP
cana-665	118	6	emd	emd	PROPN
cana-665	118	7	,	,	PUNCT
cana-665	118	8	we	we	PRON
cana-665	118	9	extracted	extract	VERB
cana-665	118	10	the	the	DET
cana-665	118	11	following	follow	VERB
cana-665	118	12	features	feature	NOUN
cana-665	118	13	:	:	PUNCT
cana-665	118	14	a	a	X
cana-665	118	15	)	)	PUNCT
cana-665	118	16	total	total	ADJ
cana-665	118	17	power	power	NOUN
cana-665	118	18	:	:	PUNCT
cana-665	118	19	this	this	PRON
cana-665	118	20	represents	represent	VERB
cana-665	118	21	the	the	DET
cana-665	118	22	overall	overall	ADJ
cana-665	118	23	energy	energy	NOUN
cana-665	118	24	content	content	NOUN
cana-665	118	25	of	of	ADP
cana-665	118	26	the	the	DET
cana-665	118	27	signal	signal	NOUN
cana-665	118	28	across	across	ADP
cana-665	118	29	all	all	DET
cana-665	118	30	frequency	frequency	NOUN
cana-665	118	31	bands	band	NOUN
cana-665	118	32	.	.	PUNCT
cana-665	119	1	high	high	ADJ
cana-665	119	2	total	total	ADJ
cana-665	119	3	power	power	NOUN
cana-665	119	4	may	may	AUX
cana-665	119	5	indicate	indicate	VERB
cana-665	119	6	increased	increase	VERB
cana-665	119	7	signal	signal	ADJ
cana-665	119	8	variability	variability	NOUN
cana-665	119	9	or	or	CCONJ
cana-665	119	10	complexity	complexity	NOUN
cana-665	119	11	,	,	PUNCT
cana-665	119	12	potentially	potentially	ADV
cana-665	119	13	reflecting	reflect	VERB
cana-665	119	14	underlying	underlie	VERB
cana-665	119	15	physiological	physiological	ADJ
cana-665	119	16	abnormalities	abnormality	NOUN
cana-665	119	17	.	.	PUNCT
cana-665	120	1	it	it	PRON
cana-665	120	2	is	be	AUX
cana-665	120	3	calculated	calculate	VERB
cana-665	120	4	as	as	ADP
cana-665	120	5	:	:	PUNCT
cana-665	120	6	total	total	ADJ
cana-665	120	7	power	power	NOUN
cana-665	120	8	=	=	PUNCT
cana-665	120	9	∑	∑	PUNCT
cana-665	120	10	𝑥𝑖	𝑥𝑖	NUM
cana-665	120	11	2𝑁	2𝑁	ADJ
cana-665	120	12	𝑖=1	𝑖=1	PROPN
cana-665	120	13	(	(	PUNCT
cana-665	120	14	6	6	NUM
cana-665	120	15	)	)	PUNCT
cana-665	120	16	where	where	SCONJ
cana-665	120	17	xi	xi	PROPN
cana-665	120	18	represents	represent	VERB
cana-665	120	19	the	the	DET
cana-665	120	20	individual	individual	ADJ
cana-665	120	21	data	datum	NOUN
cana-665	120	22	points	point	NOUN
cana-665	120	23	of	of	ADP
cana-665	120	24	the	the	DET
cana-665	120	25	imf	imf	PROPN
cana-665	120	26	and	and	CCONJ
cana-665	120	27	n	n	NOUN
cana-665	120	28	is	be	AUX
cana-665	120	29	the	the	DET
cana-665	120	30	total	total	ADJ
cana-665	120	31	number	number	NOUN
cana-665	120	32	of	of	ADP
cana-665	120	33	data	datum	NOUN
cana-665	120	34	points	point	NOUN
cana-665	120	35	.	.	PUNCT
cana-665	121	1	b	b	X
cana-665	121	2	)	)	PUNCT
cana-665	121	3	spectral	spectral	ADJ
cana-665	121	4	entropy	entropy	PROPN
cana-665	121	5	:	:	PUNCT
cana-665	121	6	spectral	spectral	ADJ
cana-665	121	7	entropy	entropy	PROPN
cana-665	121	8	was	be	AUX
cana-665	121	9	computed	compute	VERB
cana-665	121	10	using	use	VERB
cana-665	121	11	welch	welch	PROPN
cana-665	121	12	's	's	PART
cana-665	121	13	method	method	NOUN
cana-665	121	14	,	,	PUNCT
cana-665	121	15	a	a	DET
cana-665	121	16	commonly	commonly	ADV
cana-665	121	17	used	use	VERB
cana-665	121	18	technique	technique	NOUN
cana-665	121	19	for	for	ADP
cana-665	121	20	estimating	estimate	VERB
cana-665	121	21	power	power	NOUN
cana-665	121	22	spectral	spectral	ADJ
cana-665	121	23	density	density	NOUN
cana-665	121	24	(	(	PUNCT
cana-665	121	25	psd	psd	PROPN
cana-665	121	26	)	)	PUNCT
cana-665	121	27	from	from	ADP
cana-665	121	28	a	a	DET
cana-665	121	29	time	time	NOUN
cana-665	121	30	series	series	NOUN
cana-665	121	31	signal	signal	PROPN
cana-665	121	32	.	.	PUNCT
cana-665	122	1	welch	welch	PROPN
cana-665	122	2	's	's	PART
cana-665	122	3	method	method	NOUN
cana-665	122	4	divides	divide	VERB
cana-665	122	5	the	the	DET
cana-665	122	6	signal	signal	NOUN
cana-665	122	7	into	into	ADP
cana-665	122	8	overlapping	overlap	VERB
cana-665	122	9	segments	segment	NOUN
cana-665	122	10	,	,	PUNCT
cana-665	122	11	computes	compute	VERB
cana-665	122	12	the	the	DET
cana-665	122	13	periodograms	periodogram	NOUN
cana-665	122	14	of	of	ADP
cana-665	122	15	these	these	DET
cana-665	122	16	segments	segment	NOUN
cana-665	122	17	,	,	PUNCT
cana-665	122	18	and	and	CCONJ
cana-665	122	19	averages	average	VERB
cana-665	122	20	them	they	PRON
cana-665	122	21	to	to	PART
cana-665	122	22	obtain	obtain	VERB
cana-665	122	23	a	a	DET
cana-665	122	24	smoothed	smoothed	ADJ
cana-665	122	25	estimate	estimate	NOUN
cana-665	122	26	of	of	ADP
cana-665	122	27	the	the	DET
cana-665	122	28	psd	psd	NOUN
cana-665	122	29	.	.	PUNCT
cana-665	123	1	the	the	DET
cana-665	123	2	formula	formula	NOUN
cana-665	123	3	for	for	ADP
cana-665	123	4	the	the	DET
cana-665	123	5	periodogram	periodogram	NOUN
cana-665	123	6	is	be	AUX
cana-665	123	7	:	:	PUNCT
cana-665	123	8	pxx(f)=	pxx(f)=	NOUN
cana-665	123	9	1	1	NUM
cana-665	123	10	𝑁	𝑁	PROPN
cana-665	123	11	|∑	|∑	ADJ
cana-665	123	12	𝑥𝑤[𝑛]𝑒𝑗2𝜋𝑓𝑛𝑁−1	𝑥𝑤[𝑛]𝑒𝑗2𝜋𝑓𝑛𝑁−1	VERB
cana-665	123	13	𝑛=0	𝑛=0	PROPN
cana-665	123	14	|	|	ADV
cana-665	123	15	2	2	X
cana-665	123	16	)	)	PUNCT
cana-665	123	17	(	(	PUNCT
cana-665	123	18	7	7	X
cana-665	123	19	)	)	PUNCT
cana-665	123	20	where	where	SCONJ
cana-665	123	21	pxx(f	pxx(f	NOUN
cana-665	123	22	)	)	PUNCT
cana-665	123	23	is	be	AUX
cana-665	123	24	the	the	DET
cana-665	123	25	estimate	estimate	NOUN
cana-665	123	26	of	of	ADP
cana-665	123	27	power	power	NOUN
cana-665	123	28	spectral	spectral	ADJ
cana-665	123	29	density	density	NOUN
cana-665	123	30	at	at	ADP
cana-665	123	31	frequency	frequency	NOUN
cana-665	123	32	f	f	NOUN
cana-665	123	33	,	,	PUNCT
cana-665	123	34	and	and	CCONJ
cana-665	123	35	n	n	PRON
cana-665	123	36	is	be	AUX
cana-665	123	37	the	the	DET
cana-665	123	38	number	number	NOUN
cana-665	123	39	of	of	ADP
cana-665	123	40	samples	sample	NOUN
cana-665	123	41	,	,	PUNCT
cana-665	123	42	xw[n	xw[n	PROPN
cana-665	123	43	]	]	X
cana-665	123	44	is	be	AUX
cana-665	123	45	the	the	DET
cana-665	123	46	windowed	windowed	ADJ
cana-665	123	47	segment	segment	NOUN
cana-665	123	48	and	and	CCONJ
cana-665	123	49	f	f	PROPN
cana-665	123	50	is	be	AUX
cana-665	123	51	the	the	DET
cana-665	123	52	frequency	frequency	NOUN
cana-665	123	53	.	.	PUNCT
cana-665	124	1	then	then	ADV
cana-665	124	2	,	,	PUNCT
cana-665	124	3	the	the	DET
cana-665	124	4	welch	welch	PROPN
cana-665	124	5	spectrum	spectrum	PROPN
cana-665	124	6	estimate	estimate	NOUN
cana-665	124	7	pwelch(f	pwelch(f	NOUN
cana-665	124	8	)	)	PUNCT
cana-665	124	9	is	be	AUX
cana-665	124	10	calculated	calculate	VERB
cana-665	124	11	as	as	ADP
cana-665	124	12	:	:	PUNCT
cana-665	124	13	pwelch(f)=	pwelch(f)=	NOUN
cana-665	124	14	1	1	NUM
cana-665	124	15	𝑁𝑠	𝑁𝑠	PROPN
cana-665	124	16	∑	∑	PUNCT
cana-665	124	17	𝑃𝐾(𝑓	𝑃𝐾(𝑓	NOUN
cana-665	124	18	)	)	PUNCT
cana-665	124	19	𝑁𝑠−1	𝑁𝑠−1	PROPN
cana-665	124	20	𝑘=0	𝑘=0	PROPN
cana-665	124	21	(	(	PUNCT
cana-665	124	22	8)	8)	NUM
cana-665	124	23	where	where	SCONJ
cana-665	124	24	pwelch(f	pwelch(f	NOUN
cana-665	124	25	)	)	PUNCT
cana-665	124	26	is	be	AUX
cana-665	124	27	the	the	DET
cana-665	124	28	welch	welch	PROPN
cana-665	124	29	spectrum	spectrum	NOUN
cana-665	124	30	estimate	estimate	NOUN
cana-665	124	31	at	at	ADP
cana-665	124	32	frequency	frequency	NOUN
cana-665	124	33	f	f	X
cana-665	124	34	,	,	PUNCT
cana-665	124	35	pk(f	pk(f	NUM
cana-665	124	36	)	)	PUNCT
cana-665	124	37	is	be	AUX
cana-665	124	38	the	the	DET
cana-665	124	39	periodogram	periodogram	NOUN
cana-665	124	40	for	for	ADP
cana-665	124	41	the	the	DET
cana-665	124	42	k	k	NOUN
cana-665	124	43	-	-	PUNCT
cana-665	124	44	th	th	VERB
cana-665	124	45	segment	segment	NOUN
cana-665	124	46	.	.	PUNCT
cana-665	125	1	ns	ns	NUM
cana-665	125	2	is	be	AUX
cana-665	125	3	the	the	DET
cana-665	125	4	number	number	NOUN
cana-665	125	5	of	of	ADP
cana-665	125	6	segments	segment	NOUN
cana-665	125	7	.	.	PUNCT
cana-665	126	1	[	[	X
cana-665	126	2	18	18	NUM
cana-665	126	3	]	]	SYM
cana-665	126	4	c	c	NOUN
cana-665	126	5	)	)	PUNCT
cana-665	126	6	variance	variance	NOUN
cana-665	126	7	:	:	PUNCT
cana-665	126	8	variance	variance	NOUN
cana-665	126	9	is	be	AUX
cana-665	126	10	a	a	DET
cana-665	126	11	statistical	statistical	ADJ
cana-665	126	12	measure	measure	NOUN
cana-665	126	13	that	that	PRON
cana-665	126	14	measures	measure	VERB
cana-665	126	15	the	the	DET
cana-665	126	16	dispersion	dispersion	NOUN
cana-665	126	17	or	or	CCONJ
cana-665	126	18	spread	spread	NOUN
cana-665	126	19	of	of	ADP
cana-665	126	20	data	datum	NOUN
cana-665	126	21	points	point	NOUN
cana-665	126	22	around	around	ADP
cana-665	126	23	the	the	DET
cana-665	126	24	mean	mean	NOUN
cana-665	126	25	.	.	PUNCT
cana-665	127	1	higher	high	ADJ
cana-665	127	2	variance	variance	NOUN
cana-665	127	3	values	value	NOUN
cana-665	127	4	suggest	suggest	VERB
cana-665	127	5	greater	great	ADJ
cana-665	127	6	variability	variability	NOUN
cana-665	127	7	in	in	ADP
cana-665	127	8	signal	signal	ADJ
cana-665	127	9	amplitude	amplitude	NOUN
cana-665	127	10	,	,	PUNCT
cana-665	127	11	which	which	PRON
cana-665	127	12	may	may	AUX
cana-665	127	13	be	be	AUX
cana-665	127	14	indicative	indicative	ADJ
cana-665	127	15	of	of	ADP
cana-665	127	16	pathological	pathological	ADJ
cana-665	127	17	conditions	condition	NOUN
cana-665	127	18	or	or	CCONJ
cana-665	127	19	irregular	irregular	ADJ
cana-665	127	20	cardiac	cardiac	ADJ
cana-665	127	21	activity	activity	NOUN
cana-665	127	22	.	.	PUNCT
cana-665	128	1	variance	variance	NOUN
cana-665	128	2	is	be	AUX
cana-665	128	3	calculated	calculate	VERB
cana-665	128	4	as	as	ADP
cana-665	128	5	variance	variance	NOUN
cana-665	128	6	=	=	NOUN
cana-665	128	7	1	1	NUM
cana-665	128	8	𝑁	𝑁	NOUN
cana-665	128	9	∑	∑	PUNCT
cana-665	128	10	(	(	PUNCT
cana-665	128	11	𝑥𝑖	𝑥𝑖	ADV
cana-665	128	12	−	−	PROPN
cana-665	128	13	𝜇)2𝑁	𝜇)2𝑁	NOUN
cana-665	128	14	𝑖=1	𝑖=1	PROPN
cana-665	128	15	(	(	PUNCT
cana-665	128	16	9	9	X
cana-665	128	17	)	)	PUNCT
cana-665	128	18	communications	communication	NOUN
cana-665	128	19	on	on	ADP
cana-665	128	20	applied	apply	VERB
cana-665	128	21	nonlinear	nonlinear	ADJ
cana-665	128	22	analysis	analysis	NOUN
cana-665	128	23	issn	issn	NOUN
cana-665	128	24	:	:	PUNCT
cana-665	128	25	1074	1074	NUM
cana-665	128	26	-	-	PUNCT
cana-665	128	27	133x	133x	NUM
cana-665	128	28	vol	vol	NOUN
cana-665	128	29	31	31	NUM
cana-665	128	30	no	no	NOUN
cana-665	128	31	.	.	PUNCT
cana-665	129	1	2s	2s	NUM
cana-665	129	2	(	(	PUNCT
cana-665	129	3	2024	2024	NUM
cana-665	129	4	)	)	PUNCT
cana-665	129	5	540	540	NUM
cana-665	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	129	7	where	where	SCONJ
cana-665	129	8	xi	xi	PROPN
cana-665	129	9	represents	represent	VERB
cana-665	129	10	the	the	DET
cana-665	129	11	individual	individual	ADJ
cana-665	129	12	data	datum	NOUN
cana-665	129	13	points	point	NOUN
cana-665	129	14	of	of	ADP
cana-665	129	15	the	the	DET
cana-665	129	16	imf	imf	PROPN
cana-665	129	17	,	,	PUNCT
cana-665	129	18	μ	μ	PROPN
cana-665	129	19	is	be	AUX
cana-665	129	20	the	the	DET
cana-665	129	21	mean	mean	NOUN
cana-665	129	22	of	of	ADP
cana-665	129	23	the	the	DET
cana-665	129	24	imf	imf	PROPN
cana-665	129	25	,	,	PUNCT
cana-665	129	26	and	and	CCONJ
cana-665	129	27	n	n	PRON
cana-665	129	28	is	be	AUX
cana-665	129	29	the	the	DET
cana-665	129	30	total	total	ADJ
cana-665	129	31	number	number	NOUN
cana-665	129	32	of	of	ADP
cana-665	129	33	data	datum	NOUN
cana-665	129	34	points	point	NOUN
cana-665	129	35	.	.	PUNCT
cana-665	130	1	d	d	X
cana-665	130	2	)	)	PUNCT
cana-665	130	3	skewness	skewness	NOUN
cana-665	130	4	:	:	PUNCT
cana-665	130	5	skewness	skewness	NOUN
cana-665	130	6	quantifies	quantify	VERB
cana-665	130	7	the	the	DET
cana-665	130	8	asymmetry	asymmetry	NOUN
cana-665	130	9	of	of	ADP
cana-665	130	10	the	the	DET
cana-665	130	11	signal	signal	ADJ
cana-665	130	12	distribution	distribution	NOUN
cana-665	130	13	around	around	ADP
cana-665	130	14	its	its	PRON
cana-665	130	15	mean	mean	NOUN
cana-665	130	16	.	.	PUNCT
cana-665	131	1	skewed	skewed	ADJ
cana-665	131	2	distributions	distribution	NOUN
cana-665	131	3	may	may	AUX
cana-665	131	4	indicate	indicate	VERB
cana-665	131	5	non	non	ADJ
cana-665	131	6	-	-	ADJ
cana-665	131	7	normal	normal	ADJ
cana-665	131	8	or	or	CCONJ
cana-665	131	9	abnormal	abnormal	ADJ
cana-665	131	10	signal	signal	NOUN
cana-665	131	11	patterns	pattern	NOUN
cana-665	131	12	,	,	PUNCT
cana-665	131	13	with	with	ADP
cana-665	131	14	positive	positive	ADJ
cana-665	131	15	skewness	skewness	NOUN
cana-665	131	16	indicating	indicate	VERB
cana-665	131	17	a	a	DET
cana-665	131	18	longer	long	ADJ
cana-665	131	19	tail	tail	NOUN
cana-665	131	20	towards	towards	ADP
cana-665	131	21	higher	high	ADJ
cana-665	131	22	values	value	NOUN
cana-665	131	23	and	and	CCONJ
cana-665	131	24	negative	negative	ADJ
cana-665	131	25	skewness	skewness	NOUN
cana-665	131	26	towards	towards	ADP
cana-665	131	27	lower	low	ADJ
cana-665	131	28	values	value	NOUN
cana-665	131	29	.	.	PUNCT
cana-665	132	1	skewness	skewness	NOUN
cana-665	132	2	is	be	AUX
cana-665	132	3	calculated	calculate	VERB
cana-665	132	4	as	as	ADP
cana-665	132	5	skewness	skewness	NOUN
cana-665	132	6	=	=	NOUN
cana-665	132	7	1	1	NUM
cana-665	132	8	𝑁	𝑁	PROPN
cana-665	132	9	∑	∑	PROPN
cana-665	132	10	(	(	PUNCT
cana-665	132	11	𝑥𝑖−𝜇)3𝑁	𝑥𝑖−𝜇)3𝑁	PROPN
cana-665	132	12	𝑖=1	𝑖=1	PROPN
cana-665	132	13	𝜎3	𝜎3	PROPN
cana-665	132	14	(	(	PUNCT
cana-665	132	15	10	10	NUM
cana-665	132	16	)	)	PUNCT
cana-665	132	17	where	where	SCONJ
cana-665	132	18	xi	xi	PROPN
cana-665	132	19	represents	represent	VERB
cana-665	132	20	the	the	DET
cana-665	132	21	individual	individual	ADJ
cana-665	132	22	data	datum	NOUN
cana-665	132	23	points	point	NOUN
cana-665	132	24	of	of	ADP
cana-665	132	25	the	the	DET
cana-665	132	26	imf	imf	PROPN
cana-665	132	27	,	,	PUNCT
cana-665	132	28	μ	μ	PROPN
cana-665	132	29	is	be	AUX
cana-665	132	30	the	the	DET
cana-665	132	31	mean	mean	NOUN
cana-665	132	32	of	of	ADP
cana-665	132	33	the	the	DET
cana-665	132	34	imf	imf	PROPN
cana-665	132	35	,	,	PUNCT
cana-665	132	36	and	and	CCONJ
cana-665	132	37	σ	σ	PROPN
cana-665	132	38	is	be	AUX
cana-665	132	39	the	the	DET
cana-665	132	40	standard	standard	ADJ
cana-665	132	41	deviation	deviation	NOUN
cana-665	132	42	of	of	ADP
cana-665	132	43	the	the	DET
cana-665	132	44	imf	imf	PROPN
cana-665	132	45	,	,	PUNCT
cana-665	132	46	and	and	CCONJ
cana-665	132	47	n	n	PRON
cana-665	132	48	is	be	AUX
cana-665	132	49	the	the	DET
cana-665	132	50	total	total	ADJ
cana-665	132	51	number	number	NOUN
cana-665	132	52	of	of	ADP
cana-665	132	53	data	datum	NOUN
cana-665	132	54	points	point	NOUN
cana-665	132	55	.	.	PUNCT
cana-665	133	1	e	e	X
cana-665	133	2	)	)	PUNCT
cana-665	133	3	singular	singular	ADJ
cana-665	133	4	values	value	NOUN
cana-665	133	5	:	:	PUNCT
cana-665	133	6	singular	singular	ADJ
cana-665	133	7	values	value	NOUN
cana-665	133	8	derived	derive	VERB
cana-665	133	9	from	from	ADP
cana-665	133	10	the	the	DET
cana-665	133	11	singular	singular	ADJ
cana-665	133	12	value	value	NOUN
cana-665	133	13	decomposition	decomposition	NOUN
cana-665	133	14	(	(	PUNCT
cana-665	133	15	svd	svd	PROPN
cana-665	133	16	)	)	PUNCT
cana-665	133	17	of	of	ADP
cana-665	133	18	imf2	imf2	PROPN
cana-665	133	19	capture	capture	NOUN
cana-665	133	20	information	information	NOUN
cana-665	133	21	about	about	ADP
cana-665	133	22	the	the	DET
cana-665	133	23	energy	energy	NOUN
cana-665	133	24	distribution	distribution	NOUN
cana-665	133	25	and	and	CCONJ
cana-665	133	26	dominant	dominant	ADJ
cana-665	133	27	frequency	frequency	NOUN
cana-665	133	28	components	component	NOUN
cana-665	133	29	of	of	ADP
cana-665	133	30	the	the	DET
cana-665	133	31	signal	signal	NOUN
cana-665	133	32	.	.	PUNCT
cana-665	134	1	singular	singular	PROPN
cana-665	134	2	values	value	NOUN
cana-665	134	3	offer	offer	VERB
cana-665	134	4	a	a	DET
cana-665	134	5	spectral	spectral	ADJ
cana-665	134	6	perspective	perspective	NOUN
cana-665	134	7	on	on	ADP
cana-665	134	8	signal	signal	ADJ
cana-665	134	9	dynamics	dynamic	NOUN
cana-665	134	10	,	,	PUNCT
cana-665	134	11	complementing	complement	VERB
cana-665	134	12	morphological	morphological	ADJ
cana-665	134	13	features	feature	NOUN
cana-665	134	14	with	with	ADP
cana-665	134	15	frequency	frequency	NOUN
cana-665	134	16	-	-	PUNCT
cana-665	134	17	domain	domain	NOUN
cana-665	134	18	information	information	NOUN
cana-665	134	19	extracted	extract	VERB
cana-665	134	20	from	from	ADP
cana-665	134	21	emd	emd	PROPN
cana-665	134	22	.	.	PUNCT
cana-665	135	1	𝐴	𝐴	PROPN
cana-665	135	2	=	=	SYM
cana-665	135	3	𝑈𝛴𝑉𝑇	𝑈𝛴𝑉𝑇	PROPN
cana-665	135	4	(	(	PUNCT
cana-665	135	5	11	11	NUM
cana-665	135	6	)	)	PUNCT
cana-665	135	7	where	where	SCONJ
cana-665	135	8	a	a	PRON
cana-665	135	9	is	be	AUX
cana-665	135	10	an	an	DET
cana-665	135	11	m	m	NOUN
cana-665	135	12	×	×	NOUN
cana-665	135	13	n	n	PRON
cana-665	135	14	data	datum	NOUN
cana-665	135	15	matrix	matrix	NOUN
cana-665	135	16	,	,	PUNCT
cana-665	135	17	u	u	NOUN
cana-665	135	18	is	be	AUX
cana-665	135	19	an	an	DET
cana-665	135	20	m	m	PROPN
cana-665	135	21	×	×	NOUN
cana-665	135	22	m	m	NOUN
cana-665	135	23	orthogonal	orthogonal	ADJ
cana-665	135	24	matrix	matrix	NOUN
cana-665	135	25	,	,	PUNCT
cana-665	135	26	and	and	CCONJ
cana-665	135	27	v	v	NOUN
cana-665	135	28	is	be	AUX
cana-665	135	29	an	an	DET
cana-665	135	30	n	n	NUM
cana-665	135	31	×	×	NOUN
cana-665	135	32	n	n	CCONJ
cana-665	135	33	orthogonal	orthogonal	ADJ
cana-665	135	34	matrix	matrix	NOUN
cana-665	135	35	.	.	PUNCT
cana-665	136	1	σ	σ	NOUN
cana-665	136	2	=	=	PUNCT
cana-665	136	3	diagonal	diagonal	ADJ
cana-665	136	4	(	(	PUNCT
cana-665	136	5	σ1	σ1	PROPN
cana-665	136	6	,	,	PUNCT
cana-665	136	7	σ2	σ2	PROPN
cana-665	136	8	,	,	PUNCT
cana-665	136	9	σ3	σ3	PROPN
cana-665	136	10	…	…	SYM
cana-665	136	11	..	..	PUNCT
cana-665	136	12	σr	σr	PROPN
cana-665	136	13	)	)	PUNCT
cana-665	136	14	(	(	PUNCT
cana-665	136	15	12	12	NUM
cana-665	136	16	)	)	PUNCT
cana-665	137	1	where	where	SCONJ
cana-665	137	2	σ1	σ1	PROPN
cana-665	137	3	≥	≥	PROPN
cana-665	137	4	σ2	σ2	PROPN
cana-665	137	5	≥	≥	NOUN
cana-665	137	6	…	…	PUNCT
cana-665	137	7	.	.	PUNCT
cana-665	137	8	≥	≥	PROPN
cana-665	137	9	σr	σr	ADP
cana-665	137	10	≥	≥	PROPN
cana-665	137	11	0	0	NUM
cana-665	137	12	.	.	PUNCT
cana-665	138	1	σ	σ	NOUN
cana-665	138	2	is	be	AUX
cana-665	138	3	an	an	DET
cana-665	138	4	m	m	NOUN
cana-665	138	5	×	×	NOUN
cana-665	138	6	n	n	NOUN
cana-665	138	7	matrix	matrix	NOUN
cana-665	138	8	whose	whose	DET
cana-665	138	9	ith	ith	PROPN
cana-665	138	10	diagonal	diagonal	ADJ
cana-665	138	11	entry	entry	NOUN
cana-665	138	12	equals	equal	VERB
cana-665	138	13	the	the	DET
cana-665	138	14	ith	ith	PROPN
cana-665	138	15	singular	singular	PROPN
cana-665	138	16	value	value	NOUN
cana-665	138	17	σi	σi	NOUN
cana-665	138	18	for	for	ADP
cana-665	138	19	i	i	PRON
cana-665	138	20	=	=	NOUN
cana-665	138	21	1	1	NUM
cana-665	138	22	…	…	SYM
cana-665	138	23	r	r	NOUN
cana-665	138	24	all	all	DET
cana-665	138	25	other	other	ADJ
cana-665	138	26	entries	entry	NOUN
cana-665	138	27	of	of	ADP
cana-665	138	28	σ	σ	PROPN
cana-665	138	29	are	be	AUX
cana-665	138	30	zero	zero	NUM
cana-665	138	31	.	.	PUNCT
cana-665	139	1	the	the	DET
cana-665	139	2	first	first	ADJ
cana-665	139	3	four	four	NUM
cana-665	139	4	singular	singular	ADJ
cana-665	139	5	values	value	NOUN
cana-665	139	6	are	be	AUX
cana-665	139	7	extracted	extract	VERB
cana-665	139	8	as	as	ADP
cana-665	139	9	features	feature	NOUN
cana-665	139	10	for	for	ADP
cana-665	139	11	this	this	DET
cana-665	139	12	study	study	NOUN
cana-665	139	13	.	.	PUNCT
cana-665	140	1	communications	communication	NOUN
cana-665	140	2	on	on	ADP
cana-665	140	3	applied	apply	VERB
cana-665	140	4	nonlinear	nonlinear	ADJ
cana-665	140	5	analysis	analysis	NOUN
cana-665	140	6	issn	issn	NOUN
cana-665	140	7	:	:	PUNCT
cana-665	140	8	1074	1074	NUM
cana-665	140	9	-	-	PUNCT
cana-665	140	10	133x	133x	NUM
cana-665	140	11	vol	vol	NOUN
cana-665	140	12	31	31	NUM
cana-665	140	13	no	no	NOUN
cana-665	140	14	.	.	PUNCT
cana-665	141	1	2s	2s	NUM
cana-665	141	2	(	(	PUNCT
cana-665	141	3	2024	2024	NUM
cana-665	141	4	)	)	PUNCT
cana-665	141	5	541	541	NUM
cana-665	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	141	7	figure	figure	NOUN
cana-665	141	8	5	5	NUM
cana-665	141	9	:	:	PUNCT
cana-665	141	10	imfs	imfs	NOUN
cana-665	141	11	obtained	obtain	VERB
cana-665	141	12	from	from	ADP
cana-665	141	13	emd	emd	PROPN
cana-665	141	14	c.	c.	PROPN
cana-665	141	15	classification	classification	NOUN
cana-665	141	16	in	in	ADP
cana-665	141	17	this	this	DET
cana-665	141	18	study	study	NOUN
cana-665	141	19	,	,	PUNCT
cana-665	141	20	our	our	PRON
cana-665	141	21	primary	primary	ADJ
cana-665	141	22	objective	objective	NOUN
cana-665	141	23	is	be	AUX
cana-665	141	24	to	to	PART
cana-665	141	25	classify	classify	VERB
cana-665	141	26	ecg	ecg	PROPN
cana-665	141	27	signals	signal	NOUN
cana-665	141	28	into	into	ADP
cana-665	141	29	normal	normal	ADJ
cana-665	141	30	or	or	CCONJ
cana-665	141	31	hyperkalemic	hyperkalemic	ADJ
cana-665	141	32	class	class	NOUN
cana-665	141	33	.	.	PUNCT
cana-665	142	1	after	after	ADP
cana-665	142	2	extracting	extract	VERB
cana-665	142	3	the	the	DET
cana-665	142	4	thirteen	thirteen	NUM
cana-665	142	5	features	feature	NOUN
cana-665	142	6	from	from	ADP
cana-665	142	7	the	the	DET
cana-665	142	8	data	datum	NOUN
cana-665	142	9	,	,	PUNCT
cana-665	142	10	outlier	outlier	NOUN
cana-665	142	11	detection	detection	NOUN
cana-665	142	12	using	use	VERB
cana-665	142	13	z	z	NOUN
cana-665	142	14	-	-	PUNCT
cana-665	142	15	score	score	NOUN
cana-665	142	16	method	method	NOUN
cana-665	142	17	was	be	AUX
cana-665	142	18	performed	perform	VERB
cana-665	142	19	to	to	PART
cana-665	142	20	detect	detect	VERB
cana-665	142	21	and	and	CCONJ
cana-665	142	22	remove	remove	VERB
cana-665	142	23	outliers	outlier	NOUN
cana-665	142	24	.	.	PUNCT
cana-665	143	1	by	by	ADP
cana-665	143	2	deducing	deduce	VERB
cana-665	143	3	the	the	DET
cana-665	143	4	mean	mean	NOUN
cana-665	143	5	and	and	CCONJ
cana-665	143	6	dividing	dividing	NOUN
cana-665	143	7	by	by	ADP
cana-665	143	8	the	the	DET
cana-665	143	9	standard	standard	ADJ
cana-665	143	10	deviation	deviation	NOUN
cana-665	143	11	the	the	DET
cana-665	143	12	z	z	NOUN
cana-665	143	13	-	-	PUNCT
cana-665	143	14	score	score	NOUN
cana-665	143	15	standardizes	standardize	VERB
cana-665	143	16	the	the	DET
cana-665	143	17	data	datum	NOUN
cana-665	143	18	and	and	CCONJ
cana-665	143	19	produces	produce	VERB
cana-665	143	20	a	a	DET
cana-665	143	21	distribution	distribution	NOUN
cana-665	143	22	with	with	ADP
cana-665	143	23	a	a	DET
cana-665	143	24	mean	mean	NOUN
cana-665	143	25	of	of	ADP
cana-665	143	26	0	0	NUM
cana-665	143	27	and	and	CCONJ
cana-665	143	28	a	a	DET
cana-665	143	29	standard	standard	ADJ
cana-665	143	30	deviation	deviation	NOUN
cana-665	143	31	of	of	ADP
cana-665	143	32	1	1	NUM
cana-665	143	33	.	.	PUNCT
cana-665	144	1	in	in	ADP
cana-665	144	2	our	our	PRON
cana-665	144	3	analysis	analysis	NOUN
cana-665	144	4	,	,	PUNCT
cana-665	144	5	we	we	PRON
cana-665	144	6	employed	employ	VERB
cana-665	144	7	three	three	NUM
cana-665	144	8	classifiers	classifier	NOUN
cana-665	144	9	to	to	PART
cana-665	144	10	train	train	VERB
cana-665	144	11	on	on	ADP
cana-665	144	12	the	the	DET
cana-665	144	13	features	feature	NOUN
cana-665	144	14	extracted	extract	VERB
cana-665	144	15	from	from	ADP
cana-665	144	16	the	the	DET
cana-665	144	17	ecg	ecg	PROPN
cana-665	144	18	signals	signal	NOUN
cana-665	144	19	.	.	PUNCT
cana-665	145	1	we	we	PRON
cana-665	145	2	utilized	utilize	VERB
cana-665	145	3	the	the	DET
cana-665	145	4	following	follow	VERB
cana-665	145	5	classifiers	classifier	NOUN
cana-665	145	6	:	:	PUNCT
cana-665	145	7	1	1	NUM
cana-665	145	8	)	)	PUNCT
cana-665	145	9	kernel	kernel	PROPN
cana-665	145	10	naïve	naïve	ADJ
cana-665	145	11	bayes	bayes	PROPN
cana-665	145	12	classifier	classifier	NOUN
cana-665	145	13	(	(	PUNCT
cana-665	145	14	knb	knb	PROPN
cana-665	145	15	)	)	PUNCT
cana-665	146	1	[	[	X
cana-665	146	2	17	17	NUM
cana-665	146	3	]	]	X
cana-665	146	4	:	:	PUNCT
cana-665	146	5	an	an	DET
cana-665	146	6	improvement	improvement	NOUN
cana-665	146	7	on	on	ADP
cana-665	146	8	the	the	DET
cana-665	146	9	classic	classic	ADJ
cana-665	146	10	naive	naive	ADJ
cana-665	146	11	bayes	bayes	NOUN
cana-665	146	12	classifier	classifier	NOUN
cana-665	146	13	,	,	PUNCT
cana-665	146	14	the	the	DET
cana-665	146	15	kernel	kernel	PROPN
cana-665	146	16	naive	naive	ADJ
cana-665	146	17	bayes	bayes	PROPN
cana-665	146	18	(	(	PUNCT
cana-665	146	19	knb	knb	PROPN
cana-665	146	20	)	)	PUNCT
cana-665	146	21	uses	use	VERB
cana-665	146	22	kernel	kernel	PROPN
cana-665	146	23	techniques	technique	NOUN
cana-665	146	24	to	to	PART
cana-665	146	25	manage	manage	VERB
cana-665	146	26	non	non	ADJ
cana-665	146	27	-	-	ADJ
cana-665	146	28	linear	linear	ADJ
cana-665	146	29	feature	feature	NOUN
cana-665	146	30	relations	relation	NOUN
cana-665	146	31	.	.	PUNCT
cana-665	147	1	unlike	unlike	ADP
cana-665	147	2	the	the	DET
cana-665	147	3	standard	standard	ADJ
cana-665	147	4	naive	naive	ADJ
cana-665	147	5	bayes	bayes	NOUN
cana-665	147	6	classifier	classifier	NOUN
cana-665	147	7	,	,	PUNCT
cana-665	147	8	which	which	PRON
cana-665	147	9	assumes	assume	VERB
cana-665	147	10	feature	feature	NOUN
cana-665	147	11	independence	independence	NOUN
cana-665	147	12	,	,	PUNCT
cana-665	147	13	knb	knb	PROPN
cana-665	147	14	uses	use	VERB
cana-665	147	15	the	the	DET
cana-665	147	16	kernel	kernel	PROPN
cana-665	147	17	trick	trick	NOUN
cana-665	147	18	to	to	PART
cana-665	147	19	implicitly	implicitly	ADV
cana-665	147	20	translate	translate	VERB
cana-665	147	21	the	the	DET
cana-665	147	22	input	input	NOUN
cana-665	147	23	features	feature	VERB
cana-665	147	24	into	into	ADP
cana-665	147	25	a	a	DET
cana-665	147	26	high	high	ADJ
cana-665	147	27	-	-	PUNCT
cana-665	147	28	dimensional	dimensional	ADJ
cana-665	147	29	space	space	NOUN
cana-665	147	30	where	where	SCONJ
cana-665	147	31	they	they	PRON
cana-665	147	32	may	may	AUX
cana-665	147	33	become	become	VERB
cana-665	147	34	linearly	linearly	ADV
cana-665	147	35	separable	separable	ADJ
cana-665	147	36	,	,	PUNCT
cana-665	147	37	in	in	ADP
cana-665	147	38	contrast	contrast	NOUN
cana-665	147	39	to	to	ADP
cana-665	147	40	the	the	DET
cana-665	147	41	tradition	tradition	NOUN
cana-665	147	42	naïve	naïve	ADJ
cana-665	147	43	bayes	bayes	PROPN
cana-665	147	44	classifier	classifier	NOUN
cana-665	147	45	which	which	PRON
cana-665	147	46	assumes	assume	VERB
cana-665	147	47	feature	feature	NOUN
cana-665	147	48	independence	independence	NOUN
cana-665	147	49	.	.	PUNCT
cana-665	148	1	ecg	ecg	PROPN
cana-665	148	2	signals	signal	NOUN
cana-665	148	3	with	with	ADP
cana-665	148	4	their	their	PRON
cana-665	148	5	subtle	subtle	ADJ
cana-665	148	6	variations	variation	NOUN
cana-665	148	7	between	between	ADP
cana-665	148	8	'	'	PUNCT
cana-665	148	9	normal	normal	ADJ
cana-665	148	10	'	'	PUNCT
cana-665	148	11	and	and	CCONJ
cana-665	148	12	'	'	PUNCT
cana-665	148	13	hyperkalemic	hyperkalemic	ADJ
cana-665	148	14	'	'	PUNCT
cana-665	148	15	patterns	pattern	NOUN
cana-665	148	16	,	,	PUNCT
cana-665	148	17	can	can	AUX
cana-665	148	18	exhibit	exhibit	VERB
cana-665	148	19	complex	complex	ADJ
cana-665	148	20	non	non	ADJ
cana-665	148	21	-	-	ADJ
cana-665	148	22	linear	linear	ADJ
cana-665	148	23	characteristics	characteristic	NOUN
cana-665	148	24	.	.	PUNCT
cana-665	149	1	knb	knb	PROPN
cana-665	149	2	's	's	PART
cana-665	149	3	ability	ability	NOUN
cana-665	149	4	to	to	PART
cana-665	149	5	implicitly	implicitly	ADV
cana-665	149	6	map	map	VERB
cana-665	149	7	features	feature	NOUN
cana-665	149	8	into	into	ADP
cana-665	149	9	a	a	DET
cana-665	149	10	higherdimensional	higherdimensional	ADJ
cana-665	149	11	space	space	NOUN
cana-665	149	12	using	use	VERB
cana-665	149	13	kernel	kernel	PROPN
cana-665	149	14	methods	method	NOUN
cana-665	149	15	allows	allow	VERB
cana-665	149	16	it	it	PRON
cana-665	149	17	to	to	PART
cana-665	149	18	capture	capture	VERB
cana-665	149	19	and	and	CCONJ
cana-665	149	20	represent	represent	VERB
cana-665	149	21	the	the	DET
cana-665	149	22	intricate	intricate	ADJ
cana-665	149	23	patterns	pattern	NOUN
cana-665	149	24	present	present	ADJ
cana-665	149	25	in	in	ADP
cana-665	149	26	ecg	ecg	PROPN
cana-665	149	27	signals	signal	NOUN
cana-665	149	28	more	more	ADV
cana-665	149	29	effectively	effectively	ADV
cana-665	149	30	than	than	ADP
cana-665	149	31	traditional	traditional	ADJ
cana-665	149	32	linear	linear	ADJ
cana-665	149	33	classifiers	classifier	NOUN
cana-665	149	34	.	.	PUNCT
cana-665	150	1	2	2	X
cana-665	150	2	)	)	PUNCT
cana-665	150	3	adaboost	adaboost	ADV
cana-665	150	4	ensemble	ensemble	ADJ
cana-665	150	5	classifier	classifier	NOUN
cana-665	150	6	[	[	X
cana-665	150	7	18	18	NUM
cana-665	150	8	]	]	X
cana-665	150	9	:	:	PUNCT
cana-665	150	10	the	the	DET
cana-665	150	11	adaboost	adaboost	ADJ
cana-665	150	12	ensemble	ensemble	ADJ
cana-665	150	13	classifier	classifier	NOUN
cana-665	150	14	boosts	boost	VERB
cana-665	150	15	classification	classification	NOUN
cana-665	150	16	performance	performance	NOUN
cana-665	150	17	by	by	ADP
cana-665	150	18	combining	combine	VERB
cana-665	150	19	several	several	ADJ
cana-665	150	20	weak	weak	ADJ
cana-665	150	21	classifiers	classifier	NOUN
cana-665	150	22	into	into	ADP
cana-665	150	23	a	a	DET
cana-665	150	24	robust	robust	ADJ
cana-665	150	25	ensemble	ensemble	ADJ
cana-665	150	26	model	model	NOUN
cana-665	150	27	.	.	PUNCT
cana-665	151	1	through	through	ADP
cana-665	151	2	iterative	iterative	NOUN
cana-665	151	3	adjustments	adjustment	NOUN
cana-665	151	4	of	of	ADP
cana-665	151	5	training	training	NOUN
cana-665	151	6	instance	instance	NOUN
cana-665	151	7	weights	weight	NOUN
cana-665	151	8	,	,	PUNCT
cana-665	151	9	the	the	DET
cana-665	151	10	adaboost	adaboost	ADJ
cana-665	151	11	algorithm	algorithm	NOUN
cana-665	151	12	prioritizes	prioritize	VERB
cana-665	151	13	challenging	challenge	VERB
cana-665	151	14	-	-	PUNCT
cana-665	151	15	to	to	PART
cana-665	151	16	-	-	PUNCT
cana-665	151	17	classify	classify	VERB
cana-665	151	18	examples	example	NOUN
cana-665	151	19	,	,	PUNCT
cana-665	151	20	thus	thus	ADV
cana-665	151	21	enhancing	enhance	VERB
cana-665	151	22	the	the	DET
cana-665	151	23	accuracy	accuracy	NOUN
cana-665	151	24	of	of	ADP
cana-665	151	25	the	the	DET
cana-665	151	26	classifier	classifier	NOUN
cana-665	151	27	.	.	PUNCT
cana-665	152	1	this	this	DET
cana-665	152	2	approach	approach	NOUN
cana-665	152	3	is	be	AUX
cana-665	152	4	particularly	particularly	ADV
cana-665	152	5	advantageous	advantageous	ADJ
cana-665	152	6	for	for	ADP
cana-665	152	7	ecg	ecg	PROPN
cana-665	152	8	signal	signal	ADJ
cana-665	152	9	classification	classification	NOUN
cana-665	152	10	tasks	task	NOUN
cana-665	152	11	where	where	SCONJ
cana-665	152	12	the	the	DET
cana-665	152	13	distinction	distinction	NOUN
cana-665	152	14	between	between	ADP
cana-665	152	15	normal	normal	ADJ
cana-665	152	16	and	and	CCONJ
cana-665	152	17	abnormal	abnormal	ADJ
cana-665	152	18	patterns	pattern	NOUN
cana-665	152	19	can	can	AUX
cana-665	152	20	be	be	AUX
cana-665	152	21	subtle	subtle	ADJ
cana-665	152	22	and	and	CCONJ
cana-665	152	23	challenging	challenging	ADJ
cana-665	152	24	.	.	PUNCT
cana-665	153	1	by	by	ADP
cana-665	153	2	using	use	VERB
cana-665	153	3	the	the	DET
cana-665	153	4	collective	collective	ADJ
cana-665	153	5	decision	decision	NOUN
cana-665	153	6	-	-	PUNCT
cana-665	153	7	making	making	NOUN
cana-665	153	8	of	of	ADP
cana-665	153	9	an	an	DET
cana-665	153	10	ensemble	ensemble	NOUN
cana-665	153	11	of	of	ADP
cana-665	153	12	classifiers	classifier	NOUN
cana-665	153	13	,	,	PUNCT
cana-665	153	14	adaboost	adaboost	ADV
cana-665	153	15	enhances	enhance	VERB
cana-665	153	16	the	the	DET
cana-665	153	17	robustness	robustness	NOUN
cana-665	153	18	and	and	CCONJ
cana-665	153	19	generalization	generalization	NOUN
cana-665	153	20	capabilities	capability	NOUN
cana-665	153	21	of	of	ADP
cana-665	153	22	the	the	DET
cana-665	153	23	model	model	NOUN
cana-665	153	24	,	,	PUNCT
cana-665	153	25	leading	lead	VERB
cana-665	153	26	to	to	ADP
cana-665	153	27	more	more	ADV
cana-665	153	28	accurate	accurate	ADJ
cana-665	153	29	and	and	CCONJ
cana-665	153	30	reliable	reliable	ADJ
cana-665	153	31	hyperkalemia	hyperkalemia	NOUN
cana-665	153	32	detection	detection	NOUN
cana-665	153	33	from	from	ADP
cana-665	153	34	ecg	ecg	PROPN
cana-665	153	35	signals	signal	NOUN
cana-665	153	36	.	.	PUNCT
cana-665	154	1	communications	communication	NOUN
cana-665	154	2	on	on	ADP
cana-665	154	3	applied	apply	VERB
cana-665	154	4	nonlinear	nonlinear	ADJ
cana-665	154	5	analysis	analysis	NOUN
cana-665	154	6	issn	issn	NOUN
cana-665	154	7	:	:	PUNCT
cana-665	154	8	1074	1074	NUM
cana-665	154	9	-	-	PUNCT
cana-665	154	10	133x	133x	NUM
cana-665	154	11	vol	vol	NOUN
cana-665	154	12	31	31	NUM
cana-665	154	13	no	no	NOUN
cana-665	154	14	.	.	PUNCT
cana-665	155	1	2s	2s	NUM
cana-665	155	2	(	(	PUNCT
cana-665	155	3	2024	2024	NUM
cana-665	155	4	)	)	PUNCT
cana-665	155	5	542	542	NUM
cana-665	155	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	155	7	3	3	X
cana-665	155	8	)	)	PUNCT
cana-665	155	9	neural	neural	ADJ
cana-665	155	10	networks	network	NOUN
cana-665	155	11	(	(	PUNCT
cana-665	155	12	nn	nn	NOUN
cana-665	155	13	)	)	PUNCT
cana-665	155	14	[	[	X
cana-665	155	15	19	19	NUM
cana-665	155	16	]	]	X
cana-665	155	17	:	:	PUNCT
cana-665	155	18	a	a	DET
cana-665	155	19	multi	multi	ADJ
cana-665	155	20	-	-	ADJ
cana-665	155	21	layer	layer	ADJ
cana-665	155	22	perceptron	perceptron	PROPN
cana-665	155	23	model	model	NOUN
cana-665	155	24	can	can	AUX
cana-665	155	25	capture	capture	VERB
cana-665	155	26	complex	complex	ADJ
cana-665	155	27	non	non	ADJ
cana-665	155	28	-	-	ADJ
cana-665	155	29	linear	linear	ADJ
cana-665	155	30	relationships	relationship	NOUN
cana-665	155	31	in	in	ADP
cana-665	155	32	the	the	DET
cana-665	155	33	data	datum	NOUN
cana-665	155	34	.	.	PUNCT
cana-665	156	1	a	a	DET
cana-665	156	2	wide	wide	ADJ
cana-665	156	3	nn	nn	NOUN
cana-665	156	4	architecture	architecture	NOUN
cana-665	156	5	was	be	AUX
cana-665	156	6	used	use	VERB
cana-665	156	7	for	for	ADP
cana-665	156	8	classification	classification	NOUN
cana-665	156	9	as	as	SCONJ
cana-665	156	10	it	it	PRON
cana-665	156	11	effectively	effectively	ADV
cana-665	156	12	models	model	VERB
cana-665	156	13	feature	feature	VERB
cana-665	156	14	interactions	interaction	NOUN
cana-665	156	15	inherent	inherent	ADJ
cana-665	156	16	in	in	ADP
cana-665	156	17	temporal	temporal	ADJ
cana-665	156	18	ecg	ecg	PROPN
cana-665	156	19	data	datum	NOUN
cana-665	156	20	and	and	CCONJ
cana-665	156	21	offers	offer	VERB
cana-665	156	22	a	a	DET
cana-665	156	23	rich	rich	ADJ
cana-665	156	24	set	set	NOUN
cana-665	156	25	of	of	ADP
cana-665	156	26	transformations	transformation	NOUN
cana-665	156	27	for	for	ADP
cana-665	156	28	nuanced	nuanced	ADJ
cana-665	156	29	differentiation	differentiation	NOUN
cana-665	156	30	each	each	DET
cana-665	156	31	classifier	classifier	NOUN
cana-665	156	32	was	be	AUX
cana-665	156	33	trained	train	VERB
cana-665	156	34	using	use	VERB
cana-665	156	35	the	the	DET
cana-665	156	36	same	same	ADJ
cana-665	156	37	dataset	dataset	NOUN
cana-665	156	38	to	to	PART
cana-665	156	39	ensure	ensure	VERB
cana-665	156	40	consistency	consistency	NOUN
cana-665	156	41	in	in	ADP
cana-665	156	42	the	the	DET
cana-665	156	43	evaluation	evaluation	NOUN
cana-665	156	44	of	of	ADP
cana-665	156	45	their	their	PRON
cana-665	156	46	performance	performance	NOUN
cana-665	156	47	.	.	PUNCT
cana-665	157	1	5	5	NUM
cana-665	157	2	fold	fold	PROPN
cana-665	157	3	cross	cross	NOUN
cana-665	157	4	validation	validation	NOUN
cana-665	157	5	was	be	AUX
cana-665	157	6	used	use	VERB
cana-665	157	7	and	and	CCONJ
cana-665	157	8	10	10	NUM
cana-665	157	9	%	%	NOUN
cana-665	157	10	of	of	ADP
cana-665	157	11	the	the	DET
cana-665	157	12	data	datum	NOUN
cana-665	157	13	was	be	AUX
cana-665	157	14	set	set	VERB
cana-665	157	15	aside	aside	ADV
cana-665	157	16	for	for	ADP
cana-665	157	17	testing	testing	NOUN
cana-665	157	18	.	.	PUNCT
cana-665	158	1	3	3	X
cana-665	158	2	.	.	X
cana-665	158	3	implementation	implementation	NOUN
cana-665	158	4	&	&	CCONJ
cana-665	158	5	results	result	VERB
cana-665	158	6	all	all	DET
cana-665	158	7	the	the	DET
cana-665	158	8	experiments	experiment	NOUN
cana-665	158	9	in	in	ADP
cana-665	158	10	this	this	DET
cana-665	158	11	study	study	NOUN
cana-665	158	12	were	be	AUX
cana-665	158	13	carried	carry	VERB
cana-665	158	14	out	out	ADP
cana-665	158	15	in	in	ADP
cana-665	158	16	matlab	matlab	PROPN
cana-665	158	17	.	.	PUNCT
cana-665	159	1	the	the	DET
cana-665	159	2	dataset	dataset	NOUN
cana-665	159	3	extracted	extract	VERB
cana-665	159	4	from	from	ADP
cana-665	159	5	mimics	mimics	PROPN
cana-665	159	6	iv	iv	NUM
cana-665	159	7	ecg	ecg	PROPN
cana-665	159	8	:	:	PUNCT
cana-665	159	9	diagnostic	diagnostic	ADJ
cana-665	159	10	electrocardiogram	electrocardiogram	NOUN
cana-665	159	11	matched	match	VERB
cana-665	159	12	subset	subset	NOUN
cana-665	159	13	database	database	NOUN
cana-665	159	14	were	be	AUX
cana-665	159	15	of	of	ADP
cana-665	159	16	10	10	NUM
cana-665	159	17	seconds	second	NOUN
cana-665	159	18	sampled	sample	VERB
cana-665	159	19	at	at	ADP
cana-665	159	20	500	500	NUM
cana-665	159	21	hertz	hertz	NOUN
cana-665	159	22	.	.	PUNCT
cana-665	160	1	noise	noise	NOUN
cana-665	160	2	and	and	CCONJ
cana-665	160	3	baseline	baseline	ADJ
cana-665	160	4	wander	wander	NOUN
cana-665	160	5	was	be	AUX
cana-665	160	6	removed	remove	VERB
cana-665	160	7	by	by	ADP
cana-665	160	8	applying	apply	VERB
cana-665	160	9	butterworth	butterworth	NOUN
cana-665	160	10	filter	filter	NOUN
cana-665	160	11	.	.	PUNCT
cana-665	161	1	minmax	minmax	PROPN
cana-665	161	2	scaling	scale	VERB
cana-665	161	3	was	be	AUX
cana-665	161	4	used	use	VERB
cana-665	161	5	for	for	ADP
cana-665	161	6	normalizing	normalize	VERB
cana-665	161	7	the	the	DET
cana-665	161	8	signals	signal	NOUN
cana-665	161	9	.	.	PUNCT
cana-665	162	1	after	after	ADP
cana-665	162	2	pre	pre	ADJ
cana-665	162	3	-	-	ADJ
cana-665	162	4	processing	process	VERB
cana-665	162	5	895	895	NUM
cana-665	162	6	normal	normal	ADJ
cana-665	162	7	,	,	PUNCT
cana-665	162	8	895	895	NUM
cana-665	162	9	hyperkalemic	hyperkalemic	ADJ
cana-665	162	10	ecg	ecg	PROPN
cana-665	162	11	signals	signal	NOUN
cana-665	162	12	were	be	AUX
cana-665	162	13	obtained	obtain	VERB
cana-665	162	14	.	.	PUNCT
cana-665	163	1	the	the	DET
cana-665	163	2	feature	feature	NOUN
cana-665	163	3	set	set	NOUN
cana-665	163	4	contained	contain	VERB
cana-665	163	5	5	5	NUM
cana-665	163	6	morphological	morphological	ADJ
cana-665	163	7	features	feature	NOUN
cana-665	163	8	and	and	CCONJ
cana-665	163	9	eight	eight	NUM
cana-665	163	10	spectral	spectral	ADJ
cana-665	163	11	features	feature	NOUN
cana-665	163	12	extracted	extract	VERB
cana-665	163	13	from	from	ADP
cana-665	163	14	imf	imf	PROPN
cana-665	163	15	2	2	NUM
cana-665	163	16	obtained	obtain	VERB
cana-665	163	17	after	after	ADP
cana-665	163	18	empirical	empirical	ADJ
cana-665	163	19	mode	mode	NOUN
cana-665	163	20	decomposition	decomposition	NOUN
cana-665	163	21	.	.	PUNCT
cana-665	164	1	outlier	outlier	NOUN
cana-665	164	2	detection	detection	NOUN
cana-665	164	3	using	use	VERB
cana-665	164	4	z	z	NOUN
cana-665	164	5	-	-	PUNCT
cana-665	164	6	score	score	NOUN
cana-665	164	7	was	be	AUX
cana-665	164	8	employed	employ	VERB
cana-665	164	9	to	to	PART
cana-665	164	10	detect	detect	VERB
cana-665	164	11	and	and	CCONJ
cana-665	164	12	remove	remove	VERB
cana-665	164	13	outliers	outlier	NOUN
cana-665	164	14	from	from	ADP
cana-665	164	15	the	the	DET
cana-665	164	16	extracted	extract	VERB
cana-665	164	17	features	feature	NOUN
cana-665	164	18	.	.	PUNCT
cana-665	165	1	then	then	ADV
cana-665	165	2	we	we	PRON
cana-665	165	3	compared	compare	VERB
cana-665	165	4	the	the	DET
cana-665	165	5	performance	performance	NOUN
cana-665	165	6	of	of	ADP
cana-665	165	7	three	three	NUM
cana-665	165	8	classifiers	classifier	NOUN
cana-665	165	9	on	on	ADP
cana-665	165	10	the	the	DET
cana-665	165	11	reduced	reduce	VERB
cana-665	165	12	feature	feature	NOUN
cana-665	165	13	set	set	VERB
cana-665	165	14	.	.	PUNCT
cana-665	166	1	to	to	PART
cana-665	166	2	ensure	ensure	VERB
cana-665	166	3	robust	robust	ADJ
cana-665	166	4	model	model	NOUN
cana-665	166	5	evaluation	evaluation	NOUN
cana-665	166	6	,	,	PUNCT
cana-665	166	7	20	20	NUM
cana-665	166	8	%	%	NOUN
cana-665	166	9	of	of	ADP
cana-665	166	10	the	the	DET
cana-665	166	11	dataset	dataset	NOUN
cana-665	166	12	was	be	AUX
cana-665	166	13	held	hold	VERB
cana-665	166	14	out	out	ADP
cana-665	166	15	as	as	ADP
cana-665	166	16	a	a	DET
cana-665	166	17	separate	separate	ADJ
cana-665	166	18	test	test	NOUN
cana-665	166	19	set	set	NOUN
cana-665	166	20	,	,	PUNCT
cana-665	166	21	while	while	SCONJ
cana-665	166	22	the	the	DET
cana-665	166	23	remaining	remain	VERB
cana-665	166	24	80	80	NUM
cana-665	166	25	%	%	NOUN
cana-665	166	26	was	be	AUX
cana-665	166	27	used	use	VERB
cana-665	166	28	for	for	ADP
cana-665	166	29	training	training	NOUN
cana-665	166	30	and	and	CCONJ
cana-665	166	31	cross	cross	NOUN
cana-665	166	32	-	-	NOUN
cana-665	166	33	validation	validation	NOUN
cana-665	166	34	.	.	PUNCT
cana-665	166	35	.	.	PUNCT
cana-665	167	1	a	a	DET
cana-665	167	2	5	5	NUM
cana-665	167	3	-	-	ADJ
cana-665	167	4	fold	fold	ADJ
cana-665	167	5	cross	cross	ADJ
cana-665	167	6	-	-	ADJ
cana-665	167	7	validation	validation	ADJ
cana-665	167	8	approach	approach	NOUN
cana-665	167	9	was	be	AUX
cana-665	167	10	employed	employ	VERB
cana-665	167	11	for	for	ADP
cana-665	167	12	all	all	DET
cana-665	167	13	classification	classification	NOUN
cana-665	167	14	task	task	NOUN
cana-665	167	15	.	.	PUNCT
cana-665	168	1	this	this	PRON
cana-665	168	2	required	require	VERB
cana-665	168	3	dividing	divide	VERB
cana-665	168	4	the	the	DET
cana-665	168	5	training	training	NOUN
cana-665	168	6	data	datum	NOUN
cana-665	168	7	into	into	ADP
cana-665	168	8	five	five	NUM
cana-665	168	9	subgroups	subgroup	NOUN
cana-665	168	10	,	,	PUNCT
cana-665	168	11	with	with	ADP
cana-665	168	12	each	each	DET
cana-665	168	13	iteration	iteration	NOUN
cana-665	168	14	using	use	VERB
cana-665	168	15	four	four	NUM
cana-665	168	16	of	of	ADP
cana-665	168	17	the	the	DET
cana-665	168	18	subgroups	subgroup	NOUN
cana-665	168	19	for	for	ADP
cana-665	168	20	training	training	NOUN
cana-665	168	21	and	and	CCONJ
cana-665	168	22	the	the	DET
cana-665	168	23	remaining	remain	VERB
cana-665	168	24	subgroup	subgroup	NOUN
cana-665	168	25	for	for	ADP
cana-665	168	26	validation	validation	NOUN
cana-665	168	27	.	.	PUNCT
cana-665	169	1	each	each	DET
cana-665	169	2	subgroup	subgroup	NOUN
cana-665	169	3	was	be	AUX
cana-665	169	4	used	use	VERB
cana-665	169	5	as	as	ADP
cana-665	169	6	validation	validation	NOUN
cana-665	169	7	set	set	VERB
cana-665	169	8	exactly	exactly	ADV
cana-665	169	9	once	once	ADV
cana-665	169	10	during	during	ADP
cana-665	169	11	the	the	DET
cana-665	169	12	five	five	NUM
cana-665	169	13	iterations	iteration	NOUN
cana-665	169	14	of	of	ADP
cana-665	169	15	the	the	DET
cana-665	169	16	procedure	procedure	NOUN
cana-665	169	17	.	.	PUNCT
cana-665	170	1	this	this	PRON
cana-665	170	2	allowed	allow	VERB
cana-665	170	3	for	for	ADP
cana-665	170	4	comprehensive	comprehensive	ADJ
cana-665	170	5	assessment	assessment	NOUN
cana-665	170	6	of	of	ADP
cana-665	170	7	model	model	NOUN
cana-665	170	8	performance	performance	NOUN
cana-665	170	9	and	and	CCONJ
cana-665	170	10	minimized	minimize	VERB
cana-665	170	11	the	the	DET
cana-665	170	12	risk	risk	NOUN
cana-665	170	13	of	of	ADP
cana-665	170	14	overfitting	overfitte	VERB
cana-665	170	15	or	or	CCONJ
cana-665	170	16	biased	biased	ADJ
cana-665	170	17	evaluation	evaluation	NOUN
cana-665	170	18	for	for	ADP
cana-665	170	19	the	the	DET
cana-665	170	20	first	first	ADJ
cana-665	170	21	experiment	experiment	NOUN
cana-665	170	22	895	895	NUM
cana-665	170	23	normal	normal	ADJ
cana-665	170	24	signals	signal	NOUN
cana-665	170	25	and	and	CCONJ
cana-665	170	26	895	895	NUM
cana-665	170	27	hyperkalemic	hyperkalemic	ADJ
cana-665	170	28	signals	signal	NOUN
cana-665	170	29	were	be	AUX
cana-665	170	30	classified	classify	VERB
cana-665	170	31	based	base	VERB
cana-665	170	32	on	on	ADP
cana-665	170	33	the	the	DET
cana-665	170	34	morphological	morphological	ADJ
cana-665	170	35	features	feature	NOUN
cana-665	170	36	alone	alone	ADV
cana-665	170	37	table	table	NOUN
cana-665	170	38	iii	iii	NOUN
cana-665	170	39	presents	present	VERB
cana-665	170	40	the	the	DET
cana-665	170	41	classification	classification	NOUN
cana-665	170	42	results	result	NOUN
cana-665	170	43	.	.	PUNCT
cana-665	171	1	for	for	ADP
cana-665	171	2	the	the	DET
cana-665	171	3	second	second	ADJ
cana-665	171	4	experiment	experiment	NOUN
cana-665	171	5	both	both	CCONJ
cana-665	171	6	morphological	morphological	ADJ
cana-665	171	7	and	and	CCONJ
cana-665	171	8	emd	emd	PROPN
cana-665	171	9	features	feature	NOUN
cana-665	171	10	were	be	AUX
cana-665	171	11	considered	consider	VERB
cana-665	171	12	for	for	ADP
cana-665	171	13	classification	classification	NOUN
cana-665	171	14	table	table	NOUN
cana-665	171	15	iii	iii	NOUN
cana-665	171	16	results	result	NOUN
cana-665	171	17	normal	normal	ADJ
cana-665	171	18	vs	vs	ADP
cana-665	171	19	hyperkalaemia	hyperkalaemia	NOUN
cana-665	171	20	morphological	morphological	ADJ
cana-665	171	21	features	feature	VERB
cana-665	171	22	morphology	morphology	NOUN
cana-665	172	1	+	+	NOUN
cana-665	172	2	emd	emd	PROPN
cana-665	172	3	features	feature	VERB
cana-665	172	4	models	model	NOUN
cana-665	172	5	sensitivity	sensitivity	NOUN
cana-665	172	6	specificity	specificity	NOUN
cana-665	172	7	accuracy	accuracy	NOUN
cana-665	172	8	sensitivity	sensitivity	NOUN
cana-665	172	9	specificity	specificity	NOUN
cana-665	172	10	accuracy	accuracy	NOUN
cana-665	172	11	kernel	kernel	PROPN
cana-665	172	12	naïve	naïve	PROPN
cana-665	172	13	bayes	bayes	PROPN
cana-665	172	14	89.01	89.01	NUM
cana-665	172	15	93.9	93.9	NUM
cana-665	172	16	91.3	91.3	NUM
cana-665	172	17	94.32	94.32	NUM
cana-665	172	18	96.47	96.47	NUM
cana-665	172	19	95.4	95.4	NUM
cana-665	172	20	adaboost	adaboost	ADV
cana-665	172	21	96.43	96.43	NUM
cana-665	172	22	93.02	93.02	NUM
cana-665	172	23	94.7	94.7	NUM
cana-665	172	24	97.7	97.7	NUM
cana-665	172	25	98.84	98.84	NUM
cana-665	172	26	98.3	98.3	NUM
cana-665	172	27	neural	neural	ADJ
cana-665	172	28	network	network	NOUN
cana-665	172	29	94.05	94.05	NUM
cana-665	172	30	94.19	94.19	NUM
cana-665	172	31	94.1	94.1	NUM
cana-665	172	32	97.67	97.67	NUM
cana-665	172	33	97.7	97.7	NUM
cana-665	172	34	97.7	97.7	NUM
cana-665	172	35	4	4	NUM
cana-665	172	36	.	.	PUNCT
cana-665	172	37	discussion	discussion	NOUN
cana-665	172	38	table	table	NOUN
cana-665	172	39	iii	iii	NOUN
cana-665	172	40	presents	present	VERB
cana-665	172	41	the	the	DET
cana-665	172	42	results	result	NOUN
cana-665	172	43	of	of	ADP
cana-665	172	44	the	the	DET
cana-665	172	45	classification	classification	NOUN
cana-665	172	46	.	.	PUNCT
cana-665	173	1	the	the	DET
cana-665	173	2	evaluation	evaluation	NOUN
cana-665	173	3	metrics	metric	NOUN
cana-665	173	4	considered	consider	VERB
cana-665	173	5	were	be	AUX
cana-665	173	6	sensitivity	sensitivity	NOUN
cana-665	173	7	,	,	PUNCT
cana-665	173	8	specificity	specificity	NOUN
cana-665	173	9	and	and	CCONJ
cana-665	173	10	accuracy	accuracy	NOUN
cana-665	173	11	.	.	PUNCT
cana-665	174	1	across	across	ADP
cana-665	174	2	all	all	DET
cana-665	174	3	three	three	NUM
cana-665	174	4	models	model	NOUN
cana-665	174	5	,	,	PUNCT
cana-665	174	6	using	use	VERB
cana-665	174	7	only	only	ADJ
cana-665	174	8	morphological	morphological	ADJ
cana-665	174	9	features	feature	NOUN
cana-665	174	10	achieves	achieve	VERB
cana-665	174	11	reasonably	reasonably	ADV
cana-665	174	12	high	high	ADJ
cana-665	174	13	accuracy	accuracy	NOUN
cana-665	174	14	,	,	PUNCT
cana-665	174	15	sensitivity	sensitivity	NOUN
cana-665	174	16	,	,	PUNCT
cana-665	174	17	and	and	CCONJ
cana-665	174	18	specificity	specificity	NOUN
cana-665	174	19	.	.	PUNCT
cana-665	175	1	kernel	kernel	PROPN
cana-665	175	2	naïve	naïve	PROPN
cana-665	175	3	bayes	bayes	PROPN
cana-665	175	4	achieves	achieve	VERB
cana-665	175	5	the	the	DET
cana-665	175	6	lowest	low	ADJ
cana-665	175	7	accuracy	accuracy	NOUN
cana-665	175	8	but	but	CCONJ
cana-665	175	9	still	still	ADV
cana-665	175	10	performs	perform	VERB
cana-665	175	11	reasonably	reasonably	ADV
cana-665	175	12	well	well	ADV
cana-665	175	13	.	.	PUNCT
cana-665	176	1	neural	neural	ADJ
cana-665	176	2	network	network	NOUN
cana-665	176	3	and	and	CCONJ
cana-665	176	4	adaboost	adaboost	ADV
cana-665	176	5	exhibit	exhibit	VERB
cana-665	176	6	higher	high	ADJ
cana-665	176	7	accuracy	accuracy	NOUN
cana-665	176	8	,	,	PUNCT
cana-665	176	9	sensitivity	sensitivity	NOUN
cana-665	176	10	,	,	PUNCT
cana-665	176	11	and	and	CCONJ
cana-665	176	12	specificity	specificity	NOUN
cana-665	176	13	compared	compare	VERB
cana-665	176	14	to	to	ADP
cana-665	176	15	kernel	kernel	PROPN
cana-665	176	16	naïve	naïve	PROPN
cana-665	176	17	bayes	bayes	PROPN
cana-665	176	18	,	,	PUNCT
cana-665	176	19	indicating	indicate	VERB
cana-665	176	20	their	their	PRON
cana-665	176	21	effectiveness	effectiveness	NOUN
cana-665	176	22	in	in	ADP
cana-665	176	23	capturing	capture	VERB
cana-665	176	24	the	the	DET
cana-665	176	25	discriminatory	discriminatory	ADJ
cana-665	176	26	information	information	NOUN
cana-665	176	27	present	present	ADJ
cana-665	176	28	in	in	ADP
cana-665	176	29	morphological	morphological	ADJ
cana-665	176	30	features	feature	NOUN
cana-665	176	31	.	.	PUNCT
cana-665	177	1	the	the	DET
cana-665	177	2	addition	addition	NOUN
cana-665	177	3	of	of	ADP
cana-665	177	4	features	feature	NOUN
cana-665	177	5	communications	communication	NOUN
cana-665	177	6	on	on	ADP
cana-665	177	7	applied	apply	VERB
cana-665	177	8	nonlinear	nonlinear	ADJ
cana-665	177	9	analysis	analysis	NOUN
cana-665	177	10	issn	issn	NOUN
cana-665	177	11	:	:	PUNCT
cana-665	177	12	1074	1074	NUM
cana-665	177	13	-	-	PUNCT
cana-665	177	14	133x	133x	NUM
cana-665	177	15	vol	vol	NOUN
cana-665	177	16	31	31	NUM
cana-665	177	17	no	no	NOUN
cana-665	177	18	.	.	PUNCT
cana-665	178	1	2s	2s	NUM
cana-665	178	2	(	(	PUNCT
cana-665	178	3	2024	2024	NUM
cana-665	178	4	)	)	PUNCT
cana-665	178	5	543	543	NUM
cana-665	178	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-665	178	7	extracted	extract	VERB
cana-665	178	8	using	use	VERB
cana-665	178	9	emd	emd	PROPN
cana-665	178	10	enhances	enhance	VERB
cana-665	178	11	the	the	DET
cana-665	178	12	performance	performance	NOUN
cana-665	178	13	of	of	ADP
cana-665	178	14	all	all	DET
cana-665	178	15	three	three	NUM
cana-665	178	16	models	model	NOUN
cana-665	178	17	significantly	significantly	ADV
cana-665	178	18	across	across	ADP
cana-665	178	19	all	all	DET
cana-665	178	20	metrics	metric	NOUN
cana-665	178	21	.	.	PUNCT
cana-665	179	1	adaboost	adaboost	ADV
cana-665	179	2	consistently	consistently	ADV
cana-665	179	3	demonstrates	demonstrate	VERB
cana-665	179	4	the	the	DET
cana-665	179	5	highest	high	ADJ
cana-665	179	6	accuracy	accuracy	NOUN
cana-665	179	7	,	,	PUNCT
cana-665	179	8	sensitivity	sensitivity	NOUN
cana-665	179	9	,	,	PUNCT
cana-665	179	10	and	and	CCONJ
cana-665	179	11	specificity	specificity	NOUN
cana-665	179	12	among	among	ADP
cana-665	179	13	the	the	DET
cana-665	179	14	models	model	NOUN
cana-665	179	15	,	,	PUNCT
cana-665	179	16	followed	follow	VERB
cana-665	179	17	closely	closely	ADV
cana-665	179	18	by	by	ADP
cana-665	179	19	the	the	DET
cana-665	179	20	neural	neural	ADJ
cana-665	179	21	network	network	NOUN
cana-665	179	22	.	.	PUNCT
cana-665	180	1	kernel	kernel	PROPN
cana-665	180	2	naïve	naïve	PROPN
cana-665	180	3	bayes	bayes	PROPN
cana-665	180	4	also	also	ADV
cana-665	180	5	benefits	benefit	VERB
cana-665	180	6	from	from	ADP
cana-665	180	7	the	the	DET
cana-665	180	8	addition	addition	NOUN
cana-665	180	9	of	of	ADP
cana-665	180	10	emd	emd	PROPN
cana-665	180	11	features	feature	NOUN
cana-665	180	12	,	,	PUNCT
cana-665	180	13	showing	show	VERB
cana-665	180	14	notable	notable	ADJ
cana-665	180	15	improvements	improvement	NOUN
cana-665	180	16	in	in	ADP
cana-665	180	17	accuracy	accuracy	NOUN
cana-665	180	18	,	,	PUNCT
cana-665	180	19	sensitivity	sensitivity	NOUN
cana-665	180	20	,	,	PUNCT
cana-665	180	21	and	and	CCONJ
cana-665	180	22	specificity	specificity	NOUN
cana-665	180	23	compared	compare	VERB
cana-665	180	24	to	to	ADP
cana-665	180	25	its	its	PRON
cana-665	180	26	performance	performance	NOUN
cana-665	180	27	with	with	ADP
cana-665	180	28	morphological	morphological	ADJ
cana-665	180	29	features	feature	NOUN
cana-665	180	30	alone	alone	ADV
cana-665	180	31	.	.	PUNCT
cana-665	181	1	these	these	DET
cana-665	181	2	results	result	NOUN
cana-665	181	3	indicate	indicate	VERB
cana-665	181	4	that	that	SCONJ
cana-665	181	5	features	feature	NOUN
cana-665	181	6	extracted	extract	VERB
cana-665	181	7	using	use	VERB
cana-665	181	8	emd	emd	PROPN
cana-665	181	9	provide	provide	VERB
cana-665	181	10	complementary	complementary	ADJ
cana-665	181	11	information	information	NOUN
cana-665	181	12	to	to	ADP
cana-665	181	13	morphological	morphological	ADJ
cana-665	181	14	features	feature	NOUN
cana-665	181	15	,	,	PUNCT
cana-665	181	16	effectively	effectively	ADV
cana-665	181	17	capturing	capture	VERB
cana-665	181	18	additional	additional	ADJ
cana-665	181	19	spectral	spectral	ADJ
cana-665	181	20	and	and	CCONJ
cana-665	181	21	temporal	temporal	ADJ
cana-665	181	22	characteristics	characteristic	NOUN
cana-665	181	23	of	of	ADP
cana-665	181	24	ecg	ecg	PROPN
cana-665	181	25	signals	signal	NOUN
cana-665	181	26	.	.	PUNCT
cana-665	182	1	5	5	X
cana-665	182	2	.	.	X
cana-665	182	3	conclusion	conclusion	NOUN
cana-665	182	4	in	in	ADP
cana-665	182	5	this	this	DET
cana-665	182	6	study	study	NOUN
cana-665	182	7	,	,	PUNCT
cana-665	182	8	we	we	PRON
cana-665	182	9	explored	explore	VERB
cana-665	182	10	the	the	DET
cana-665	182	11	effectiveness	effectiveness	NOUN
cana-665	182	12	of	of	ADP
cana-665	182	13	different	different	ADJ
cana-665	182	14	feature	feature	NOUN
cana-665	182	15	sets	set	NOUN
cana-665	182	16	and	and	CCONJ
cana-665	182	17	classification	classification	NOUN
cana-665	182	18	models	model	NOUN
cana-665	182	19	for	for	ADP
cana-665	182	20	ecg	ecg	PROPN
cana-665	182	21	classification	classification	NOUN
cana-665	182	22	into	into	ADP
cana-665	182	23	normal	normal	ADJ
cana-665	182	24	vs.	vs.	ADP
cana-665	182	25	hyperkalemia	hyperkalemia	NOUN
cana-665	182	26	classes	class	NOUN
cana-665	182	27	.	.	PUNCT
cana-665	183	1	initially	initially	ADV
cana-665	183	2	,	,	PUNCT
cana-665	183	3	we	we	PRON
cana-665	183	4	evaluated	evaluate	VERB
cana-665	183	5	the	the	DET
cana-665	183	6	performance	performance	NOUN
cana-665	183	7	of	of	ADP
cana-665	183	8	classification	classification	NOUN
cana-665	183	9	models	model	NOUN
cana-665	183	10	using	use	VERB
cana-665	183	11	morphological	morphological	ADJ
cana-665	183	12	features	feature	NOUN
cana-665	183	13	alone	alone	ADV
cana-665	183	14	.	.	PUNCT
cana-665	184	1	our	our	PRON
cana-665	184	2	findings	finding	NOUN
cana-665	184	3	indicate	indicate	VERB
cana-665	184	4	that	that	SCONJ
cana-665	184	5	morphological	morphological	ADJ
cana-665	184	6	features	feature	NOUN
cana-665	184	7	alone	alone	ADV
cana-665	184	8	achieve	achieve	VERB
cana-665	184	9	reasonably	reasonably	ADV
cana-665	184	10	high	high	ADJ
cana-665	184	11	accuracy	accuracy	NOUN
cana-665	184	12	,	,	PUNCT
cana-665	184	13	sensitivity	sensitivity	NOUN
cana-665	184	14	,	,	PUNCT
cana-665	184	15	and	and	CCONJ
cana-665	184	16	specificity	specificity	NOUN
cana-665	184	17	across	across	ADP
cana-665	184	18	all	all	DET
cana-665	184	19	models	model	NOUN
cana-665	184	20	tested	test	VERB
cana-665	184	21	.	.	PUNCT
cana-665	185	1	this	this	PRON
cana-665	185	2	underscores	underscore	VERB
cana-665	185	3	the	the	DET
cana-665	185	4	importance	importance	NOUN
cana-665	185	5	of	of	ADP
cana-665	185	6	waveform	waveform	NOUN
cana-665	185	7	characteristics	characteristic	NOUN
cana-665	185	8	in	in	ADP
cana-665	185	9	distinguishing	distinguish	VERB
cana-665	185	10	between	between	ADP
cana-665	185	11	normal	normal	ADJ
cana-665	185	12	and	and	CCONJ
cana-665	185	13	hyperkalemic	hyperkalemic	ADJ
cana-665	185	14	ecg	ecg	PROPN
cana-665	185	15	signals	signal	NOUN
cana-665	185	16	.	.	PUNCT
cana-665	186	1	the	the	DET
cana-665	186	2	inclusion	inclusion	NOUN
cana-665	186	3	of	of	ADP
cana-665	186	4	emd	emd	PROPN
cana-665	186	5	features	feature	NOUN
cana-665	186	6	significantly	significantly	ADV
cana-665	186	7	improved	improve	VERB
cana-665	186	8	the	the	DET
cana-665	186	9	classification	classification	NOUN
cana-665	186	10	performance	performance	NOUN
cana-665	186	11	of	of	ADP
cana-665	186	12	all	all	DET
cana-665	186	13	models	model	NOUN
cana-665	186	14	,	,	PUNCT
cana-665	186	15	with	with	ADP
cana-665	186	16	notable	notable	ADJ
cana-665	186	17	enhancements	enhancement	NOUN
cana-665	186	18	observed	observe	VERB
cana-665	186	19	in	in	ADP
cana-665	186	20	accuracy	accuracy	NOUN
cana-665	186	21	,	,	PUNCT
cana-665	186	22	sensitivity	sensitivity	NOUN
cana-665	186	23	,	,	PUNCT
cana-665	186	24	and	and	CCONJ
cana-665	186	25	specificity	specificity	NOUN
cana-665	186	26	.	.	PUNCT
cana-665	187	1	this	this	DET
cana-665	187	2	highlights	highlight	VERB
cana-665	187	3	the	the	DET
cana-665	187	4	complementary	complementary	ADJ
cana-665	187	5	nature	nature	NOUN
cana-665	187	6	of	of	ADP
cana-665	187	7	morphological	morphological	ADJ
cana-665	187	8	and	and	CCONJ
cana-665	187	9	emd	emd	PROPN
cana-665	187	10	features	feature	NOUN
cana-665	187	11	,	,	PUNCT
cana-665	187	12	which	which	PRON
cana-665	187	13	capture	capture	VERB
cana-665	187	14	both	both	CCONJ
cana-665	187	15	structural	structural	ADJ
cana-665	187	16	and	and	CCONJ
cana-665	187	17	spectral	spectral	ADJ
cana-665	187	18	-	-	PUNCT
cana-665	187	19	temporal	temporal	ADJ
cana-665	187	20	characteristics	characteristic	NOUN
cana-665	187	21	of	of	ADP
cana-665	187	22	ecg	ecg	PROPN
cana-665	187	23	signals	signal	NOUN
cana-665	187	24	.	.	PUNCT
cana-665	188	1	among	among	ADP
cana-665	188	2	the	the	DET
cana-665	188	3	classification	classification	NOUN
cana-665	188	4	models	model	NOUN
cana-665	188	5	evaluated	evaluate	VERB
cana-665	188	6	,	,	PUNCT
cana-665	188	7	adaboost	adaboost	ADV
cana-665	188	8	emerged	emerge	VERB
cana-665	188	9	as	as	ADP
cana-665	188	10	the	the	DET
cana-665	188	11	top	top	ADV
cana-665	188	12	-	-	PUNCT
cana-665	188	13	performing	perform	VERB
cana-665	188	14	model	model	NOUN
cana-665	188	15	,	,	PUNCT
cana-665	188	16	consistently	consistently	ADV
cana-665	188	17	achieving	achieve	VERB
cana-665	188	18	the	the	DET
cana-665	188	19	highest	high	ADJ
cana-665	188	20	accuracy	accuracy	NOUN
cana-665	188	21	,	,	PUNCT
cana-665	188	22	sensitivity	sensitivity	NOUN
cana-665	188	23	,	,	PUNCT
cana-665	188	24	and	and	CCONJ
cana-665	188	25	specificity	specificity	NOUN
cana-665	188	26	with	with	ADP
cana-665	188	27	the	the	DET
cana-665	188	28	combined	combine	VERB
cana-665	188	29	morphology	morphology	NOUN
cana-665	188	30	+	+	CCONJ
cana-665	188	31	emd	emd	PROPN
cana-665	188	32	features	feature	VERB
cana-665	188	33	.	.	PUNCT
cana-665	189	1	this	this	PRON
cana-665	189	2	underscores	underscore	VERB
cana-665	189	3	the	the	DET
cana-665	189	4	effectiveness	effectiveness	NOUN
cana-665	189	5	of	of	ADP
cana-665	189	6	ensemble	ensemble	ADJ
cana-665	189	7	learning	learning	NOUN
cana-665	189	8	techniques	technique	NOUN
cana-665	189	9	in	in	ADP
cana-665	189	10	leveraging	leverage	VERB
cana-665	189	11	the	the	DET
cana-665	189	12	diverse	diverse	ADJ
cana-665	189	13	information	information	NOUN
cana-665	189	14	encapsulated	encapsulate	VERB
cana-665	189	15	within	within	ADP
cana-665	189	16	different	different	ADJ
cana-665	189	17	feature	feature	NOUN
cana-665	189	18	sets	set	NOUN
cana-665	189	19	.	.	PUNCT
cana-665	190	1	future	future	ADJ
cana-665	190	2	studies	study	NOUN
cana-665	190	3	will	will	AUX
cana-665	190	4	incorporate	incorporate	VERB
cana-665	190	5	a	a	DET
cana-665	190	6	broader	broad	ADJ
cana-665	190	7	dataset	dataset	NOUN
cana-665	190	8	and	and	CCONJ
cana-665	190	9	explore	explore	VERB
cana-665	190	10	a	a	DET
cana-665	190	11	more	more	ADV
cana-665	190	12	diverse	diverse	ADJ
cana-665	190	13	set	set	NOUN
cana-665	190	14	of	of	ADP
cana-665	190	15	features	feature	NOUN
cana-665	190	16	to	to	PART
cana-665	190	17	enhance	enhance	VERB
cana-665	190	18	the	the	DET
cana-665	190	19	detection	detection	NOUN
cana-665	190	20	and	and	CCONJ
cana-665	190	21	interpretation	interpretation	NOUN
cana-665	190	22	of	of	ADP
cana-665	190	23	hyperkalaemia	hyperkalaemia	NOUN
cana-665	190	24	in	in	ADP
cana-665	190	25	ecg	ecg	PROPN
cana-665	190	26	signals	signal	NOUN
cana-665	190	27	.	.	PUNCT
cana-665	191	1	this	this	DET
cana-665	191	2	ongoing	ongoing	ADJ
cana-665	191	3	research	research	NOUN
cana-665	191	4	aims	aim	VERB
cana-665	191	5	to	to	PART
cana-665	191	6	advance	advance	VERB
cana-665	191	7	the	the	DET
cana-665	191	8	development	development	NOUN
cana-665	191	9	of	of	ADP
cana-665	191	10	automated	automate	VERB
cana-665	191	11	diagnostic	diagnostic	ADJ
cana-665	191	12	tools	tool	NOUN
cana-665	191	13	for	for	ADP
cana-665	191	14	hyperkalemia	hyperkalemia	ADJ
cana-665	191	15	detection	detection	NOUN
cana-665	191	16	,	,	PUNCT
cana-665	191	17	ultimately	ultimately	ADV
cana-665	191	18	contributing	contribute	VERB
cana-665	191	19	to	to	ADP
cana-665	191	20	improved	improve	VERB
cana-665	191	21	patient	patient	ADJ
cana-665	191	22	care	care	NOUN
cana-665	191	23	and	and	CCONJ
cana-665	191	24	clinical	clinical	ADJ
cana-665	191	25	outcomes	outcome	NOUN
cana-665	191	26	in	in	ADP
cana-665	191	27	cardiology	cardiology	NOUN
cana-665	191	28	.	.	PUNCT
cana-665	192	1	acknowledgments	acknowledgment	NOUN
cana-665	192	2	the	the	DET
cana-665	192	3	researcher	researcher	NOUN
cana-665	192	4	would	would	AUX
cana-665	192	5	like	like	VERB
cana-665	192	6	to	to	PART
cana-665	192	7	thank	thank	VERB
cana-665	192	8	rashtrasant	rashtrasant	PROPN
cana-665	192	9	tukadoji	tukadoji	PROPN
cana-665	192	10	maharaj	maharaj	PROPN
cana-665	192	11	nagpur	nagpur	PROPN
cana-665	192	12	university	university	PROPN
cana-665	192	13	,	,	PUNCT
cana-665	192	14	nagpur	nagpur	PROPN
cana-665	192	15	,	,	PUNCT
cana-665	192	16	india	india	PROPN
cana-665	192	17	,	,	PUNCT
cana-665	192	18	for	for	ADP
cana-665	192	19	granting	grant	VERB
cana-665	192	20	the	the	DET
cana-665	192	21	funds	fund	NOUN
cana-665	192	22	to	to	PART
cana-665	192	23	carry	carry	VERB
cana-665	192	24	out	out	ADP
cana-665	192	25	this	this	DET
cana-665	192	26	research	research	NOUN
cana-665	192	27	.	.	PUNCT
cana-665	193	1	funding	fund	VERB
cana-665	193	2	this	this	DET
cana-665	193	3	research	research	NOUN
cana-665	193	4	was	be	AUX
cana-665	193	5	supported	support	VERB
cana-665	193	6	by	by	ADP
cana-665	193	7	rajiv	rajiv	PROPN
cana-665	193	8	gandhi	gandhi	PROPN
cana-665	193	9	science	science	PROPN
cana-665	193	10	and	and	CCONJ
cana-665	193	11	technology	technology	NOUN
cana-665	193	12	commission	commission	NOUN
cana-665	193	13	scheme	scheme	NOUN
cana-665	193	14	of	of	ADP
cana-665	193	15	rashrasant	rashrasant	PROPN
cana-665	193	16	tukadoji	tukadoji	PROPN
cana-665	193	17	maharaj	maharaj	PROPN
cana-665	193	18	nagpur	nagpur	PROPN
cana-665	193	19	university	university	PROPN
cana-665	193	20	,	,	PUNCT
cana-665	193	21	nagpur	nagpur	PROPN
cana-665	193	22	(	(	PUNCT
cana-665	193	23	cr-99/171	cr-99/171	NOUN
cana-665	193	24	)	)	PUNCT
cana-665	193	25	conflicts	conflict	NOUN
cana-665	193	26	of	of	ADP
cana-665	193	27	interest	interest	NOUN
cana-665	193	28	the	the	DET
cana-665	193	29	authors	author	NOUN
cana-665	193	30	declare	declare	VERB
cana-665	193	31	no	no	DET
cana-665	193	32	conflict	conflict	NOUN
cana-665	193	33	of	of	ADP
cana-665	193	34	interest	interest	NOUN
cana-665	193	35	.	.	PUNCT
cana-665	194	1	data	datum	NOUN
cana-665	194	2	availability	availability	NOUN
cana-665	194	3	data	datum	NOUN
cana-665	194	4	used	use	VERB
cana-665	194	5	in	in	ADP
cana-665	194	6	this	this	DET
cana-665	194	7	study	study	NOUN
cana-665	194	8	is	be	AUX
cana-665	194	9	available	available	ADJ
cana-665	194	10	at	at	ADP
cana-665	194	11	http://www.physionet.org/	http://www.physionet.org/	NOUN
cana-665	194	12	http://www.physionet.org/	http://www.physionet.org/	NOUN
cana-665	194	13	communications	communication	NOUN
cana-665	194	14	on	on	ADP
cana-665	194	15	applied	apply	VERB
cana-665	194	16	nonlinear	nonlinear	ADJ
cana-665	194	17	analysis	analysis	NOUN
cana-665	194	18	issn	issn	NOUN
cana-665	194	19	:	:	PUNCT
cana-665	194	20	1074	1074	NUM
cana-665	194	21	-	-	PUNCT
cana-665	194	22	133x	133x	NUM
cana-665	194	23	vol	vol	NOUN
cana-665	194	24	31	31	NUM
cana-665	194	25	no	no	NOUN
cana-665	194	26	.	.	PUNCT
cana-665	195	1	2s	2s	NUM
cana-665	195	2	(	(	PUNCT
cana-665	195	3	2024	2024	NUM
cana-665	195	4	)	)	PUNCT
cana-665	195	5	544	544	NUM
cana-665	195	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	195	7	references	reference	NOUN
cana-665	195	8	[	[	X
cana-665	195	9	1	1	NUM
cana-665	195	10	]	]	PUNCT
cana-665	195	11	rodrigues	rodrigue	NOUN
cana-665	195	12	,	,	PUNCT
cana-665	195	13	a.	a.	PROPN
cana-665	195	14	s.	s.	PROPN
cana-665	195	15	,	,	PUNCT
cana-665	195	16	petrėnas	petrėna	NOUN
cana-665	195	17	,	,	PUNCT
cana-665	195	18	a.	a.	NOUN
cana-665	195	19	,	,	PUNCT
cana-665	195	20	paliakaitė	paliakaitė	PROPN
cana-665	195	21	,	,	PUNCT
cana-665	195	22	b.	b.	PROPN
cana-665	195	23	,	,	PUNCT
cana-665	195	24	kušleikaitė	kušleikaitė	PROPN
cana-665	195	25	-	-	PUNCT
cana-665	195	26	pere	pere	PROPN
cana-665	195	27	,	,	PUNCT
cana-665	195	28	n.	n.	NOUN
cana-665	195	29	,	,	PUNCT
cana-665	195	30	jaruševičius	jaruševičius	PROPN
cana-665	195	31	,	,	PUNCT
cana-665	195	32	g.	g.	PROPN
cana-665	195	33	,	,	PUNCT
cana-665	195	34	bumblytė	bumblytė	NOUN
cana-665	195	35	,	,	PUNCT
cana-665	195	36	i.	i.	PROPN
cana-665	195	37	a.	a.	PROPN
cana-665	195	38	,	,	PUNCT
cana-665	195	39	&	&	CCONJ
cana-665	195	40	marozas	marozas	ADJ
cana-665	195	41	,	,	PUNCT
cana-665	195	42	v.:noninvasive	v.:noninvasive	NUM
cana-665	195	43	monitoring	monitoring	NOUN
cana-665	195	44	of	of	ADP
cana-665	195	45	potassium	potassium	NOUN
cana-665	195	46	fluctuations	fluctuation	NOUN
cana-665	195	47	during	during	ADP
cana-665	195	48	the	the	DET
cana-665	195	49	long	long	ADJ
cana-665	195	50	interdialytic	interdialytic	ADJ
cana-665	195	51	interval	interval	NOUN
cana-665	195	52	.	.	PUNCT
cana-665	196	1	ieee	ieee	NOUN
cana-665	196	2	access	access	NOUN
cana-665	196	3	,	,	PUNCT
cana-665	196	4	8	8	NUM
cana-665	196	5	,	,	PUNCT
cana-665	196	6	188488188502(2020	188488188502(2020	NUM
cana-665	196	7	)	)	PUNCT
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cana-665	197	2	2	2	NUM
cana-665	197	3	]	]	SYM
cana-665	197	4	wu	wu	PROPN
cana-665	197	5	,	,	PUNCT
cana-665	197	6	m.	m.	PROPN
cana-665	197	7	f.	f.	PROPN
cana-665	197	8	,	,	PUNCT
cana-665	197	9	et	et	PROPN
cana-665	197	10	al	al	PROPN
cana-665	197	11	.	.	PUNCT
cana-665	198	1	"	"	PUNCT
cana-665	198	2	predicting	predict	VERB
cana-665	198	3	hyperkalemia	hyperkalemia	NOUN
cana-665	198	4	by	by	ADP
cana-665	198	5	a	a	DET
cana-665	198	6	two	two	NUM
cana-665	198	7	-	-	PUNCT
cana-665	198	8	staged	stage	VERB
cana-665	198	9	artificial	artificial	ADJ
cana-665	198	10	neural	neural	ADJ
cana-665	198	11	network	network	NOUN
cana-665	198	12	.	.	PUNCT
cana-665	198	13	"	"	PUNCT
cana-665	198	14	computers	computer	NOUN
cana-665	198	15	in	in	ADP
cana-665	198	16	cardiology	cardiology	NOUN
cana-665	198	17	,	,	PUNCT
cana-665	198	18	2003	2003	NUM
cana-665	198	19	.	.	PUNCT
cana-665	199	1	ieee	ieee	PROPN
cana-665	199	2	,	,	PUNCT
cana-665	199	3	2003	2003	NUM
cana-665	199	4	.	.	PUNCT
cana-665	200	1	[	[	X
cana-665	200	2	3	3	NUM
cana-665	200	3	]	]	X
cana-665	200	4	urtnasan	urtnasan	ADJ
cana-665	200	5	,	,	PUNCT
cana-665	200	6	e.	e.	PROPN
cana-665	200	7	,	,	PUNCT
cana-665	200	8	lee	lee	PROPN
cana-665	200	9	,	,	PUNCT
cana-665	200	10	j.	j.	PROPN
cana-665	200	11	h.	h.	PROPN
cana-665	200	12	,	,	PUNCT
cana-665	200	13	moon	moon	PROPN
cana-665	200	14	,	,	PUNCT
cana-665	200	15	b.	b.	PROPN
cana-665	200	16	,	,	PUNCT
cana-665	200	17	lee	lee	PROPN
cana-665	200	18	,	,	PUNCT
cana-665	200	19	h.	h.	PROPN
cana-665	200	20	y.	y.	PROPN
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cana-665	200	22	lee	lee	PROPN
cana-665	200	23	,	,	PUNCT
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cana-665	200	25	,	,	PUNCT
cana-665	200	26	&	&	CCONJ
cana-665	200	27	youk	youk	PROPN
cana-665	200	28	,	,	PUNCT
cana-665	200	29	h.:noninvasive	h.:noninvasive	ADJ
cana-665	200	30	screening	screening	NOUN
cana-665	200	31	tool	tool	NOUN
cana-665	200	32	for	for	ADP
cana-665	200	33	hyperkalemia	hyperkalemia	NOUN
cana-665	200	34	using	use	VERB
cana-665	200	35	a	a	DET
cana-665	200	36	single	single	ADJ
cana-665	200	37	-	-	PUNCT
cana-665	200	38	lead	lead	NOUN
cana-665	200	39	electrocardiogram	electrocardiogram	NOUN
cana-665	200	40	and	and	CCONJ
cana-665	200	41	deep	deep	ADJ
cana-665	200	42	learning	learning	NOUN
cana-665	200	43	:	:	PUNCT
cana-665	200	44	development	development	NOUN
cana-665	200	45	and	and	CCONJ
cana-665	200	46	usability	usability	NOUN
cana-665	200	47	study	study	NOUN
cana-665	200	48	.	.	PUNCT
cana-665	201	1	jmir	jmir	PROPN
cana-665	201	2	medical	medical	PROPN
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cana-665	201	4	,	,	PUNCT
cana-665	201	5	10(6	10(6	NOUN
cana-665	201	6	)	)	PUNCT
cana-665	201	7	,	,	PUNCT
cana-665	201	8	e34724(2022	e34724(2022	NOUN
cana-665	201	9	)	)	PUNCT
cana-665	201	10	.	.	PUNCT
cana-665	202	1	[	[	X
cana-665	202	2	4	4	NUM
cana-665	202	3	]	]	X
cana-665	202	4	kwon	kwon	PROPN
cana-665	202	5	,	,	PUNCT
cana-665	202	6	j.	j.	PROPN
cana-665	202	7	m.	m.	PROPN
cana-665	202	8	,	,	PUNCT
cana-665	202	9	jung	jung	PROPN
cana-665	202	10	,	,	PUNCT
cana-665	202	11	m.	m.	NOUN
cana-665	202	12	s.	s.	PROPN
cana-665	202	13	,	,	PUNCT
cana-665	202	14	kim	kim	PROPN
cana-665	202	15	,	,	PUNCT
cana-665	202	16	k.	k.	PROPN
cana-665	202	17	h.	h.	PROPN
cana-665	202	18	,	,	PUNCT
cana-665	202	19	jo	jo	PROPN
cana-665	202	20	,	,	PUNCT
cana-665	202	21	y.	y.	PROPN
cana-665	202	22	y.	y.	PROPN
cana-665	202	23	,	,	PUNCT
cana-665	202	24	shin	shin	PROPN
cana-665	202	25	,	,	PUNCT
cana-665	202	26	j.	j.	PROPN
cana-665	202	27	h.	h.	PROPN
cana-665	202	28	,	,	PUNCT
cana-665	202	29	cho	cho	PROPN
cana-665	202	30	,	,	PUNCT
cana-665	202	31	y.	y.	PROPN
cana-665	202	32	h.	h.	PROPN
cana-665	202	33	,	,	PUNCT
cana-665	202	34	...	...	PUNCT
cana-665	202	35	&	&	CCONJ
cana-665	202	36	oh	oh	INTJ
cana-665	202	37	,	,	PUNCT
cana-665	202	38	b.	b.	PROPN
cana-665	202	39	h.	h.	PROPN
cana-665	202	40	:	:	PUNCT
cana-665	202	41	artificial	artificial	ADJ
cana-665	202	42	intelligence	intelligence	NOUN
cana-665	202	43	for	for	ADP
cana-665	202	44	detecting	detect	VERB
cana-665	202	45	electrolyte	electrolyte	ADJ
cana-665	202	46	imbalance	imbalance	NOUN
cana-665	202	47	using	use	VERB
cana-665	202	48	electrocardiography	electrocardiography	NOUN
cana-665	202	49	.	.	PUNCT
cana-665	203	1	annals	annal	NOUN
cana-665	203	2	of	of	ADP
cana-665	203	3	noninvasive	noninvasive	ADJ
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cana-665	203	5	,	,	PUNCT
cana-665	203	6	26(3	26(3	NUM
cana-665	203	7	)	)	PUNCT
cana-665	203	8	,	,	PUNCT
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cana-665	203	13	)	)	PUNCT
cana-665	204	1	[	[	X
cana-665	204	2	5	5	NUM
cana-665	204	3	]	]	SYM
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cana-665	204	5	,	,	PUNCT
cana-665	204	6	c.	c.	PROPN
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cana-665	204	8	,	,	PUNCT
cana-665	204	9	lin	lin	PROPN
cana-665	204	10	,	,	PUNCT
cana-665	204	11	c.	c.	PROPN
cana-665	204	12	,	,	PUNCT
cana-665	204	13	fang	fang	PROPN
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cana-665	204	15	w.	w.	PROPN
cana-665	204	16	h.	h.	PROPN
cana-665	204	17	,	,	PUNCT
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cana-665	204	19	,	,	PUNCT
cana-665	204	20	c.	c.	PROPN
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cana-665	204	22	,	,	PUNCT
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cana-665	204	24	,	,	PUNCT
cana-665	204	25	s.	s.	PROPN
cana-665	204	26	j.	j.	PROPN
cana-665	204	27	,	,	PUNCT
cana-665	204	28	huang	huang	PROPN
cana-665	204	29	,	,	PUNCT
cana-665	204	30	k.	k.	PROPN
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cana-665	204	32	,	,	PUNCT
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cana-665	204	34	&	&	CCONJ
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cana-665	204	40	:a	:a	PRON
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cana-665	204	42	-	-	PUNCT
cana-665	204	43	learning	learn	VERB
cana-665	204	44	algorithm	algorithm	NOUN
cana-665	204	45	(	(	PUNCT
cana-665	204	46	ecg12net	ecg12net	NOUN
cana-665	204	47	)	)	PUNCT
cana-665	204	48	for	for	ADP
cana-665	204	49	detecting	detect	VERB
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cana-665	204	51	and	and	CCONJ
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cana-665	204	55	:	:	PUNCT
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cana-665	205	1	jmir	jmir	PROPN
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cana-665	205	4	,	,	PUNCT
cana-665	205	5	8(3	8(3	NUM
cana-665	205	6	)	)	PUNCT
cana-665	205	7	,	,	PUNCT
cana-665	205	8	e15931	e15931	NOUN
cana-665	205	9	.	.	PUNCT
cana-665	205	10	(	(	PUNCT
cana-665	205	11	2020	2020	NUM
cana-665	205	12	)	)	PUNCT
cana-665	206	1	[	[	X
cana-665	206	2	6	6	NUM
cana-665	206	3	]	]	SYM
cana-665	206	4	galloway	galloway	NOUN
cana-665	206	5	,	,	PUNCT
cana-665	206	6	c.	c.	PROPN
cana-665	206	7	d.	d.	PROPN
cana-665	206	8	,	,	PUNCT
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cana-665	206	10	,	,	PUNCT
cana-665	206	11	a.	a.	NOUN
cana-665	206	12	v.	v.	PROPN
cana-665	206	13	,	,	PUNCT
cana-665	206	14	shreibati	shreibati	PROPN
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cana-665	206	17	b.	b.	PROPN
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cana-665	206	31	v.	v.	PROPN
cana-665	206	32	p.	p.	PROPN
cana-665	206	33	,	,	PUNCT
cana-665	206	34	...	...	PUNCT
cana-665	206	35	&	&	CCONJ
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cana-665	206	39	a.	a.	NOUN
cana-665	206	40	:	:	PUNCT
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cana-665	206	47	-	-	PUNCT
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cana-665	206	53	hyperkalemia	hyperkalemia	NOUN
cana-665	206	54	from	from	ADP
cana-665	206	55	the	the	DET
cana-665	206	56	electrocardiogram	electrocardiogram	NOUN
cana-665	206	57	.	.	PUNCT
cana-665	207	1	jama	jama	PROPN
cana-665	207	2	cardiology	cardiology	PROPN
cana-665	207	3	,	,	PUNCT
cana-665	207	4	4(5	4(5	PROPN
cana-665	207	5	)	)	PUNCT
cana-665	207	6	,	,	PUNCT
cana-665	207	7	428	428	NUM
cana-665	207	8	-	-	SYM
cana-665	207	9	436	436	NUM
cana-665	207	10	.	.	PUNCT
cana-665	208	1	(	(	PUNCT
cana-665	208	2	2019	2019	NUM
cana-665	208	3	)	)	PUNCT
cana-665	208	4	.	.	PUNCT
cana-665	209	1	[	[	X
cana-665	209	2	7	7	X
cana-665	209	3	]	]	X
cana-665	209	4	farrell	farrell	PROPN
cana-665	209	5	,	,	PUNCT
cana-665	209	6	c.	c.	PROPN
cana-665	209	7	,	,	PUNCT
cana-665	209	8	&	&	CCONJ
cana-665	209	9	shakir	shakir	PROPN
cana-665	209	10	,	,	PUNCT
cana-665	209	11	m.	m.	NOUN
cana-665	209	12	z.:machine	z.:machine	PROPN
cana-665	209	13	learning	learning	NOUN
cana-665	209	14	enabled	enable	VERB
cana-665	209	15	ecg	ecg	PROPN
cana-665	209	16	monitoring	monitoring	NOUN
cana-665	209	17	for	for	ADP
cana-665	209	18	early	early	ADJ
cana-665	209	19	detection	detection	NOUN
cana-665	209	20	of	of	ADP
cana-665	209	21	hyperkalaemia	hyperkalaemia	NOUN
cana-665	209	22	.	.	PUNCT
cana-665	210	1	in	in	ADP
cana-665	210	2	ai	ai	NOUN
cana-665	210	3	for	for	ADP
cana-665	210	4	emerging	emerge	VERB
cana-665	210	5	verticals	vertical	NOUN
cana-665	210	6	:	:	PUNCT
cana-665	210	7	human	human	ADJ
cana-665	210	8	-	-	PUNCT
cana-665	210	9	robot	robot	NOUN
cana-665	210	10	computing	computing	NOUN
cana-665	210	11	,	,	PUNCT
cana-665	210	12	sensing	sense	VERB
cana-665	210	13	and	and	CCONJ
cana-665	210	14	networking	networking	NOUN
cana-665	210	15	.	.	PUNCT
cana-665	211	1	iet	iet	PROPN
cana-665	211	2	.	.	PUNCT
cana-665	212	1	(	(	PUNCT
cana-665	212	2	2020	2020	NUM
cana-665	212	3	)	)	PUNCT
cana-665	213	1	[	[	X
cana-665	213	2	8	8	NUM
cana-665	213	3	]	]	X
cana-665	213	4	yasin	yasin	NOUN
cana-665	213	5	,	,	PUNCT
cana-665	213	6	o.	o.	PROPN
cana-665	213	7	z.	z.	PROPN
cana-665	213	8	,	,	PUNCT
cana-665	213	9	attia	attia	PROPN
cana-665	213	10	,	,	PUNCT
cana-665	213	11	z.	z.	PROPN
cana-665	213	12	,	,	PUNCT
cana-665	213	13	dillon	dillon	PROPN
cana-665	213	14	,	,	PUNCT
cana-665	213	15	j.	j.	PROPN
cana-665	213	16	j.	j.	PROPN
cana-665	213	17	,	,	PUNCT
cana-665	213	18	desimone	desimone	PROPN
cana-665	213	19	,	,	PUNCT
cana-665	213	20	c.	c.	PROPN
cana-665	213	21	v.	v.	PROPN
cana-665	213	22	,	,	PUNCT
cana-665	213	23	sapir	sapir	PROPN
cana-665	213	24	,	,	PUNCT
cana-665	213	25	y.	y.	PROPN
cana-665	213	26	,	,	PUNCT
cana-665	213	27	dugan	dugan	PROPN
cana-665	213	28	,	,	PUNCT
cana-665	213	29	j.	j.	PROPN
cana-665	213	30	,	,	PUNCT
cana-665	213	31	...	...	PUNCT
cana-665	213	32	&	&	CCONJ
cana-665	213	33	friedman	friedman	PROPN
cana-665	213	34	,	,	PUNCT
cana-665	213	35	p.	p.	NOUN
cana-665	213	36	a.:noninvasive	a.:noninvasive	ADJ
cana-665	213	37	blood	blood	NOUN
cana-665	213	38	potassium	potassium	NOUN
cana-665	213	39	measurement	measurement	NOUN
cana-665	213	40	using	use	VERB
cana-665	213	41	signal	signal	NOUN
cana-665	213	42	-	-	PUNCT
cana-665	213	43	processed	process	VERB
cana-665	213	44	,	,	PUNCT
cana-665	213	45	single	single	ADJ
cana-665	213	46	-	-	PUNCT
cana-665	213	47	lead	lead	NOUN
cana-665	213	48	ecg	ecg	PROPN
cana-665	213	49	acquired	acquire	VERB
cana-665	213	50	from	from	ADP
cana-665	213	51	a	a	DET
cana-665	213	52	handheld	handheld	ADJ
cana-665	213	53	smartphone	smartphone	NOUN
cana-665	213	54	.	.	PUNCT
cana-665	214	1	journal	journal	PROPN
cana-665	214	2	of	of	ADP
cana-665	214	3	electrocardiology	electrocardiology	NOUN
cana-665	214	4	,	,	PUNCT
cana-665	214	5	50(5	50(5	NUM
cana-665	214	6	)	)	PUNCT
cana-665	214	7	,	,	PUNCT
cana-665	214	8	620	620	NUM
cana-665	214	9	-	-	PUNCT
cana-665	214	10	625.(2017	625.(2017	NUM
cana-665	214	11	)	)	PUNCT
cana-665	214	12	.	.	PUNCT
cana-665	215	1	[	[	X
cana-665	215	2	9	9	NUM
cana-665	215	3	]	]	SYM
cana-665	215	4	pachori	pachori	NOUN
cana-665	215	5	,	,	PUNCT
cana-665	215	6	r.	r.	PROPN
cana-665	215	7	b.	b.	PROPN
cana-665	215	8	,	,	PUNCT
cana-665	215	9	acharya	acharya	PROPN
cana-665	215	10	,	,	PUNCT
cana-665	215	11	u.	u.	PROPN
cana-665	215	12	r.	r.	PROPN
cana-665	215	13	,	,	PUNCT
cana-665	215	14	&	&	CCONJ
cana-665	215	15	sree	sree	PROPN
cana-665	215	16	,	,	PUNCT
cana-665	215	17	s.	s.	PROPN
cana-665	215	18	v.	v.	PROPN
cana-665	215	19	(	(	PUNCT
cana-665	215	20	2013	2013	NUM
cana-665	215	21	)	)	PUNCT
cana-665	215	22	.	.	PUNCT
cana-665	216	1	classification	classification	NOUN
cana-665	216	2	of	of	ADP
cana-665	216	3	eeg	eeg	NOUN
cana-665	216	4	signals	signal	NOUN
cana-665	216	5	using	use	VERB
cana-665	216	6	empirical	empirical	ADJ
cana-665	216	7	mode	mode	NOUN
cana-665	216	8	decomposition	decomposition	NOUN
cana-665	216	9	.	.	PUNCT
cana-665	217	1	biomedical	biomedical	ADJ
cana-665	217	2	signal	signal	NOUN
cana-665	217	3	processing	processing	NOUN
cana-665	217	4	and	and	CCONJ
cana-665	217	5	control	control	NOUN
cana-665	217	6	,	,	PUNCT
cana-665	217	7	8(4	8(4	NUM
cana-665	217	8	)	)	PUNCT
cana-665	217	9	,	,	PUNCT
cana-665	217	10	437	437	NUM
cana-665	217	11	-	-	SYM
cana-665	217	12	444	444	NUM
cana-665	217	13	.	.	PUNCT
cana-665	218	1	[	[	X
cana-665	218	2	10	10	NUM
cana-665	218	3	]	]	X
cana-665	218	4	karabiber	karabiber	NOUN
cana-665	218	5	cura	cura	PROPN
cana-665	218	6	,	,	PUNCT
cana-665	218	7	o.	o.	PROPN
cana-665	218	8	,	,	PUNCT
cana-665	218	9	kocaaslan	kocaaslan	PROPN
cana-665	218	10	atli	atli	PROPN
cana-665	218	11	,	,	PUNCT
cana-665	218	12	s.	s.	PROPN
cana-665	218	13	,	,	PUNCT
cana-665	218	14	türe	türe	PROPN
cana-665	218	15	,	,	PUNCT
cana-665	218	16	h.	h.	PROPN
cana-665	218	17	s.	s.	PROPN
cana-665	218	18	,	,	PUNCT
cana-665	218	19	&	&	CCONJ
cana-665	218	20	akan	akan	PROPN
cana-665	218	21	,	,	PUNCT
cana-665	218	22	a.	a.	PROPN
cana-665	218	23	(	(	PUNCT
cana-665	218	24	2020	2020	NUM
cana-665	218	25	)	)	PUNCT
cana-665	218	26	.	.	PUNCT
cana-665	219	1	epileptic	epileptic	ADJ
cana-665	219	2	seizure	seizure	NOUN
cana-665	219	3	classifications	classification	NOUN
cana-665	219	4	using	use	VERB
cana-665	219	5	empirical	empirical	ADJ
cana-665	219	6	mode	mode	NOUN
cana-665	219	7	decomposition	decomposition	NOUN
cana-665	219	8	and	and	CCONJ
cana-665	219	9	its	its	PRON
cana-665	219	10	derivative	derivative	NOUN
cana-665	219	11	.	.	PUNCT
cana-665	220	1	biomedical	biomedical	ADJ
cana-665	220	2	engineering	engineering	PROPN
cana-665	220	3	online	online	ADV
cana-665	220	4	,	,	PUNCT
cana-665	220	5	19	19	NUM
cana-665	220	6	,	,	PUNCT
cana-665	220	7	1	1	NUM
cana-665	220	8	-	-	SYM
cana-665	220	9	22	22	NUM
cana-665	220	10	.	.	PUNCT
cana-665	221	1	[	[	X
cana-665	221	2	11	11	NUM
cana-665	221	3	]	]	X
cana-665	221	4	zhang	zhang	PROPN
cana-665	221	5	,	,	PUNCT
cana-665	221	6	z.	z.	PROPN
cana-665	221	7	,	,	PUNCT
cana-665	221	8	zhao	zhao	PROPN
cana-665	221	9	,	,	PUNCT
cana-665	221	10	y.	y.	PROPN
cana-665	221	11	,	,	PUNCT
cana-665	221	12	xie	xie	PROPN
cana-665	221	13	,	,	PUNCT
cana-665	221	14	l.	l.	PROPN
cana-665	221	15	,	,	PUNCT
cana-665	221	16	&	&	CCONJ
cana-665	221	17	li	li	PROPN
cana-665	221	18	,	,	PUNCT
cana-665	221	19	s.	s.	PROPN
cana-665	221	20	(	(	PUNCT
cana-665	221	21	2017	2017	NUM
cana-665	221	22	)	)	PUNCT
cana-665	221	23	.	.	PUNCT
cana-665	222	1	eeg	eeg	NOUN
cana-665	222	2	-	-	PUNCT
cana-665	222	3	based	base	VERB
cana-665	222	4	emotion	emotion	NOUN
cana-665	222	5	recognition	recognition	NOUN
cana-665	222	6	using	use	VERB
cana-665	222	7	emd	emd	PROPN
cana-665	222	8	-	-	PUNCT
cana-665	222	9	based	base	VERB
cana-665	222	10	features	feature	NOUN
cana-665	222	11	and	and	CCONJ
cana-665	222	12	lstm	lstm	ADJ
cana-665	222	13	neural	neural	ADJ
cana-665	222	14	network	network	NOUN
cana-665	222	15	.	.	PUNCT
cana-665	223	1	in	in	ADP
cana-665	223	2	2017	2017	NUM
cana-665	223	3	ieee	ieee	NOUN
cana-665	223	4	international	international	ADJ
cana-665	223	5	conference	conference	NOUN
cana-665	223	6	on	on	ADP
cana-665	223	7	bioinformatics	bioinformatics	NOUN
cana-665	223	8	and	and	CCONJ
cana-665	223	9	biomedicine	biomedicine	NOUN
cana-665	223	10	(	(	PUNCT
cana-665	223	11	bibm	bibm	NOUN
cana-665	223	12	)	)	PUNCT
cana-665	223	13	(	(	PUNCT
cana-665	223	14	pp	pp	ADJ
cana-665	223	15	.	.	PUNCT
cana-665	224	1	2169	2169	NUM
cana-665	224	2	-	-	SYM
cana-665	224	3	2173	2173	NUM
cana-665	224	4	)	)	PUNCT
cana-665	224	5	.	.	PUNCT
cana-665	225	1	ieee.madona	ieee.madona	PROPN
cana-665	225	2	,	,	PUNCT
cana-665	225	3	putri	putri	ADJ
cana-665	225	4	,	,	PUNCT
cana-665	225	5	rahmat	rahmat	NOUN
cana-665	225	6	ilias	ilias	PROPN
cana-665	225	7	basti	basti	PROPN
cana-665	225	8	,	,	PUNCT
cana-665	225	9	and	and	CCONJ
cana-665	225	10	muhammad	muhammad	PROPN
cana-665	225	11	mahrus	mahrus	PROPN
cana-665	225	12	zain	zain	PROPN
cana-665	225	13	.	.	PUNCT
cana-665	226	1	"	"	PUNCT
cana-665	226	2	pqrst	pqrst	ADJ
cana-665	226	3	wave	wave	NOUN
cana-665	226	4	detection	detection	NOUN
cana-665	226	5	on	on	ADP
cana-665	226	6	ecg	ecg	PROPN
cana-665	226	7	signals	signal	NOUN
cana-665	226	8	.	.	PUNCT
cana-665	226	9	"	"	PUNCT
cana-665	227	1	gaceta	gaceta	ADJ
cana-665	227	2	sanitaria	sanitaria	NOUN
cana-665	227	3	35	35	NUM
cana-665	227	4	(	(	PUNCT
cana-665	227	5	2021	2021	NUM
cana-665	227	6	):	):	PUNCT
cana-665	227	7	s364	s364	PROPN
cana-665	227	8	-	-	PUNCT
cana-665	227	9	s369	s369	PROPN
cana-665	227	10	.	.	PUNCT
cana-665	228	1	[	[	X
cana-665	228	2	12	12	NUM
cana-665	228	3	]	]	X
cana-665	228	4	jha	jha	PROPN
cana-665	228	5	,	,	PUNCT
cana-665	228	6	r.	r.	PROPN
cana-665	228	7	k.	k.	PROPN
cana-665	228	8	,	,	PUNCT
cana-665	228	9	vishwakarma	vishwakarma	PROPN
cana-665	228	10	,	,	PUNCT
cana-665	228	11	d.	d.	PROPN
cana-665	228	12	k.	k.	PROPN
cana-665	228	13	,	,	PUNCT
cana-665	228	14	&	&	CCONJ
cana-665	228	15	thoke	thoke	PROPN
cana-665	228	16	,	,	PUNCT
cana-665	228	17	s.	s.	PROPN
cana-665	228	18	(	(	PUNCT
cana-665	228	19	2016	2016	NUM
cana-665	228	20	)	)	PUNCT
cana-665	228	21	.	.	PUNCT
cana-665	229	1	feature	feature	NOUN
cana-665	229	2	extraction	extraction	NOUN
cana-665	229	3	from	from	ADP
cana-665	229	4	electrocardiogram	electrocardiogram	NOUN
cana-665	229	5	signal	signal	NOUN
cana-665	229	6	for	for	ADP
cana-665	229	7	arrhythmia	arrhythmia	NOUN
cana-665	229	8	detection	detection	NOUN
cana-665	229	9	using	use	VERB
cana-665	229	10	empirical	empirical	ADJ
cana-665	229	11	mode	mode	NOUN
cana-665	229	12	decomposition	decomposition	NOUN
cana-665	229	13	.	.	PUNCT
cana-665	230	1	in	in	ADP
cana-665	230	2	2016	2016	NUM
cana-665	230	3	ieee	ieee	NOUN
cana-665	230	4	international	international	ADJ
cana-665	230	5	conference	conference	NOUN
cana-665	230	6	on	on	ADP
cana-665	230	7	recent	recent	ADJ
cana-665	230	8	trends	trend	NOUN
cana-665	230	9	in	in	ADP
cana-665	230	10	electronics	electronic	NOUN
cana-665	230	11	,	,	PUNCT
cana-665	230	12	information	information	NOUN
cana-665	230	13	&	&	CCONJ
cana-665	230	14	communication	communication	NOUN
cana-665	230	15	technology	technology	NOUN
cana-665	230	16	(	(	PUNCT
cana-665	230	17	rteict	rteict	PROPN
cana-665	230	18	)	)	PUNCT
cana-665	230	19	(	(	PUNCT
cana-665	230	20	pp	pp	ADV
cana-665	230	21	.	.	PUNCT
cana-665	230	22	2115	2115	NUM
cana-665	230	23	-	-	SYM
cana-665	230	24	2119	2119	NUM
cana-665	230	25	)	)	PUNCT
cana-665	230	26	.	.	PUNCT
cana-665	231	1	ieee	ieee	PROPN
cana-665	231	2	.	.	PUNCT
cana-665	232	1	[	[	X
cana-665	232	2	13	13	NUM
cana-665	232	3	]	]	X
cana-665	232	4	khalaf	khalaf	PROPN
cana-665	232	5	,	,	PUNCT
cana-665	232	6	a.	a.	PROPN
cana-665	232	7	,	,	PUNCT
cana-665	232	8	khosrowjerdi	khosrowjerdi	NOUN
cana-665	232	9	,	,	PUNCT
cana-665	232	10	m.	m.	NOUN
cana-665	232	11	,	,	PUNCT
cana-665	232	12	nahavandi	nahavandi	PROPN
cana-665	232	13	,	,	PUNCT
cana-665	232	14	s.	s.	PROPN
cana-665	232	15	,	,	PUNCT
cana-665	232	16	&	&	CCONJ
cana-665	232	17	moridani	moridani	PROPN
cana-665	232	18	,	,	PUNCT
cana-665	232	19	m.	m.	NOUN
cana-665	232	20	(	(	PUNCT
cana-665	232	21	2018	2018	NUM
cana-665	232	22	)	)	PUNCT
cana-665	232	23	.	.	PUNCT
cana-665	233	1	ecg	ecg	PROPN
cana-665	233	2	heartbeat	heartbeat	NOUN
cana-665	233	3	classification	classification	NOUN
cana-665	233	4	:	:	PUNCT
cana-665	233	5	a	a	DET
cana-665	233	6	deep	deep	ADJ
cana-665	233	7	transferable	transferable	ADJ
cana-665	233	8	representation	representation	NOUN
cana-665	233	9	.	.	PUNCT
cana-665	234	1	computers	computer	NOUN
cana-665	234	2	in	in	ADP
cana-665	234	3	biology	biology	NOUN
cana-665	234	4	and	and	CCONJ
cana-665	234	5	medicine	medicine	NOUN
cana-665	234	6	,	,	PUNCT
cana-665	234	7	103	103	NUM
cana-665	234	8	,	,	PUNCT
cana-665	234	9	161	161	NUM
cana-665	234	10	-	-	SYM
cana-665	234	11	172	172	NUM
cana-665	234	12	.	.	PUNCT
cana-665	235	1	[	[	X
cana-665	235	2	14	14	NUM
cana-665	235	3	]	]	PUNCT
cana-665	235	4	regolisti	regolisti	NOUN
cana-665	235	5	,	,	PUNCT
cana-665	235	6	g.	g.	PROPN
cana-665	235	7	,	,	PUNCT
cana-665	235	8	maggiore	maggiore	NOUN
cana-665	235	9	,	,	PUNCT
cana-665	235	10	u.	u.	PROPN
cana-665	235	11	,	,	PUNCT
cana-665	235	12	greco	greco	PROPN
cana-665	235	13	,	,	PUNCT
cana-665	235	14	p.	p.	PROPN
cana-665	235	15	,	,	PUNCT
cana-665	235	16	maccari	maccari	PROPN
cana-665	235	17	,	,	PUNCT
cana-665	235	18	c.	c.	PROPN
cana-665	235	19	,	,	PUNCT
cana-665	235	20	parenti	parenti	PROPN
cana-665	235	21	,	,	PUNCT
cana-665	235	22	e.	e.	PROPN
cana-665	235	23	,	,	PUNCT
cana-665	235	24	di	di	PROPN
cana-665	235	25	mario	mario	PROPN
cana-665	235	26	,	,	PUNCT
cana-665	235	27	f.	f.	PROPN
cana-665	235	28	,	,	PUNCT
cana-665	235	29	...	...	PUNCT
cana-665	235	30	&	&	CCONJ
cana-665	235	31	fiaccadori	fiaccadori	PROPN
cana-665	235	32	,	,	PUNCT
cana-665	235	33	e.	e.	PROPN
cana-665	235	34	:	:	PUNCT
cana-665	235	35	electrocardiographic	electrocardiographic	ADJ
cana-665	235	36	t	t	NOUN
cana-665	235	37	wave	wave	NOUN
cana-665	235	38	alterations	alteration	NOUN
cana-665	235	39	and	and	CCONJ
cana-665	235	40	prediction	prediction	NOUN
cana-665	235	41	of	of	ADP
cana-665	235	42	hyperkalemia	hyperkalemia	NOUN
cana-665	235	43	in	in	ADP
cana-665	235	44	patients	patient	NOUN
cana-665	235	45	with	with	ADP
cana-665	235	46	acute	acute	ADJ
cana-665	235	47	kidney	kidney	NOUN
cana-665	235	48	injury	injury	NOUN
cana-665	235	49	.	.	PUNCT
cana-665	236	1	internal	internal	ADJ
cana-665	236	2	and	and	CCONJ
cana-665	236	3	emergency	emergency	NOUN
cana-665	236	4	medicine	medicine	NOUN
cana-665	236	5	,	,	PUNCT
cana-665	236	6	15	15	NUM
cana-665	236	7	,	,	PUNCT
cana-665	236	8	463	463	NUM
cana-665	236	9	-	-	SYM
cana-665	236	10	472	472	NUM
cana-665	236	11	..	..	PUNCT
cana-665	236	12	(	(	PUNCT
cana-665	236	13	2020	2020	NUM
cana-665	236	14	)	)	PUNCT
cana-665	236	15	.	.	PUNCT
cana-665	237	1	[	[	X
cana-665	237	2	15	15	NUM
cana-665	237	3	]	]	X
cana-665	237	4	gow	gow	PROPN
cana-665	237	5	,	,	PUNCT
cana-665	237	6	brian	brian	PROPN
cana-665	237	7	,	,	PUNCT
cana-665	237	8	et	et	PROPN
cana-665	237	9	al	al	PROPN
cana-665	237	10	.	.	PUNCT
cana-665	238	1	"	"	PUNCT
cana-665	238	2	mimic	mimic	ADJ
cana-665	238	3	-	-	PUNCT
cana-665	238	4	iv	iv	NUM
cana-665	238	5	-	-	PUNCT
cana-665	238	6	ecg	ecg	ADJ
cana-665	238	7	:	:	PUNCT
cana-665	238	8	diagnostic	diagnostic	ADJ
cana-665	238	9	electrocardiogram	electrocardiogram	NOUN
cana-665	238	10	matched	match	VERB
cana-665	238	11	subset	subset	NOUN
cana-665	238	12	"	"	PUNCT
cana-665	238	13	(	(	PUNCT
cana-665	238	14	version	version	NOUN
cana-665	238	15	1.0	1.0	NUM
cana-665	238	16	)	)	PUNCT
cana-665	238	17	.	.	PUNCT
cana-665	239	1	physionet	physionet	NOUN
cana-665	239	2	(	(	PUNCT
cana-665	239	3	2023	2023	NUM
cana-665	239	4	)	)	PUNCT
cana-665	239	5	,	,	PUNCT
cana-665	239	6	https://doi.org/10.13026/4nqg-sb35	https://doi.org/10.13026/4nqg-sb35	PROPN
cana-665	239	7	.	.	PUNCT
cana-665	240	1	[	[	X
cana-665	240	2	16	16	NUM
cana-665	240	3	]	]	X
cana-665	240	4	huang	huang	PROPN
cana-665	240	5	,	,	PUNCT
cana-665	240	6	n.	n.	PROPN
cana-665	240	7	e.	e.	PROPN
cana-665	240	8	,	,	PUNCT
cana-665	240	9	shen	shen	PROPN
cana-665	240	10	,	,	PUNCT
cana-665	240	11	z.	z.	PROPN
cana-665	240	12	,	,	PUNCT
cana-665	240	13	long	long	ADV
cana-665	240	14	,	,	PUNCT
cana-665	240	15	s.	s.	PROPN
cana-665	240	16	r.	r.	PROPN
cana-665	240	17	,	,	PUNCT
cana-665	240	18	wu	wu	PROPN
cana-665	240	19	,	,	PUNCT
cana-665	240	20	m.	m.	PROPN
cana-665	240	21	c.	c.	PROPN
cana-665	240	22	,	,	PUNCT
cana-665	240	23	shih	shih	PROPN
cana-665	240	24	,	,	PUNCT
cana-665	240	25	h.	h.	PROPN
cana-665	240	26	h.	h.	PROPN
cana-665	240	27	,	,	PUNCT
cana-665	240	28	zheng	zheng	PROPN
cana-665	240	29	,	,	PUNCT
cana-665	240	30	q.	q.	PROPN
cana-665	240	31	,	,	PUNCT
cana-665	240	32	...	...	PUNCT
cana-665	240	33	&	&	CCONJ
cana-665	240	34	liu	liu	PROPN
cana-665	240	35	,	,	PUNCT
cana-665	240	36	h.	h.	PROPN
cana-665	240	37	h.	h.	PROPN
cana-665	240	38	(	(	PUNCT
cana-665	240	39	1998	1998	NUM
cana-665	240	40	)	)	PUNCT
cana-665	240	41	.	.	PUNCT
cana-665	241	1	the	the	DET
cana-665	241	2	empirical	empirical	ADJ
cana-665	241	3	mode	mode	NOUN
cana-665	241	4	decomposition	decomposition	NOUN
cana-665	241	5	and	and	CCONJ
cana-665	241	6	the	the	DET
cana-665	241	7	hilbert	hilbert	NOUN
cana-665	241	8	spectrum	spectrum	NOUN
cana-665	241	9	for	for	ADP
cana-665	241	10	nonlinear	nonlinear	ADJ
cana-665	241	11	and	and	CCONJ
cana-665	241	12	non	non	ADJ
cana-665	241	13	-	-	ADJ
cana-665	241	14	stationary	stationary	ADJ
cana-665	241	15	time	time	NOUN
cana-665	241	16	series	series	PROPN
cana-665	241	17	analysis	analysis	NOUN
cana-665	241	18	.	.	PUNCT
cana-665	242	1	proceedings	proceeding	NOUN
cana-665	242	2	of	of	ADP
cana-665	242	3	the	the	DET
cana-665	242	4	royal	royal	ADJ
cana-665	242	5	society	society	NOUN
cana-665	242	6	of	of	ADP
cana-665	242	7	london	london	PROPN
cana-665	242	8	.	.	PUNCT
cana-665	243	1	series	series	PROPN
cana-665	243	2	a	a	PRON
cana-665	243	3	:	:	PUNCT
cana-665	243	4	mathematical	mathematical	ADJ
cana-665	243	5	,	,	PUNCT
cana-665	243	6	physical	physical	ADJ
cana-665	243	7	and	and	CCONJ
cana-665	243	8	engineering	engineering	NOUN
cana-665	243	9	sciences	science	NOUN
cana-665	243	10	,	,	PUNCT
cana-665	243	11	454(1971	454(1971	NUM
cana-665	243	12	)	)	PUNCT
cana-665	243	13	,	,	PUNCT
cana-665	243	14	903	903	NUM
cana-665	243	15	-	-	SYM
cana-665	243	16	995	995	NUM
cana-665	243	17	.	.	PUNCT
cana-665	244	1	https://doi.org/10.13026/4nqg-sb35	https://doi.org/10.13026/4nqg-sb35	NOUN
cana-665	244	2	communications	communication	NOUN
cana-665	244	3	on	on	ADP
cana-665	244	4	applied	apply	VERB
cana-665	244	5	nonlinear	nonlinear	ADJ
cana-665	244	6	analysis	analysis	NOUN
cana-665	244	7	issn	issn	NOUN
cana-665	244	8	:	:	PUNCT
cana-665	244	9	1074	1074	NUM
cana-665	244	10	-	-	PUNCT
cana-665	244	11	133x	133x	NUM
cana-665	244	12	vol	vol	NOUN
cana-665	244	13	31	31	NUM
cana-665	244	14	no	no	NOUN
cana-665	244	15	.	.	PUNCT
cana-665	245	1	2s	2s	NUM
cana-665	245	2	(	(	PUNCT
cana-665	245	3	2024	2024	NUM
cana-665	245	4	)	)	PUNCT
cana-665	245	5	545	545	NUM
cana-665	245	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-665	246	1	[	[	X
cana-665	246	2	17	17	NUM
cana-665	246	3	]	]	X
cana-665	246	4	goldberger	goldberger	ADJ
cana-665	246	5	,	,	PUNCT
cana-665	246	6	a.	a.	NOUN
cana-665	246	7	,	,	PUNCT
cana-665	246	8	amaral	amaral	PROPN
cana-665	246	9	,	,	PUNCT
cana-665	246	10	l.	l.	PROPN
cana-665	246	11	,	,	PUNCT
cana-665	246	12	glass	glass	NOUN
cana-665	246	13	,	,	PUNCT
cana-665	246	14	l.	l.	PROPN
cana-665	246	15	,	,	PUNCT
cana-665	246	16	hausdorff	hausdorff	PROPN
cana-665	246	17	,	,	PUNCT
cana-665	246	18	j.	j.	PROPN
cana-665	246	19	,	,	PUNCT
cana-665	246	20	ivanov	ivanov	PROPN
cana-665	246	21	,	,	PUNCT
cana-665	246	22	p.	p.	PROPN
cana-665	246	23	c.	c.	PROPN
cana-665	246	24	,	,	PUNCT
cana-665	246	25	mark	mark	PROPN
cana-665	246	26	,	,	PUNCT
cana-665	246	27	r.	r.	PROPN
cana-665	246	28	,	,	PUNCT
cana-665	246	29	...	...	PUNCT
cana-665	246	30	&	&	CCONJ
cana-665	246	31	stanley	stanley	PROPN
cana-665	246	32	,	,	PUNCT
cana-665	246	33	h.	h.	PROPN
cana-665	246	34	e.	e.	PROPN
cana-665	246	35	(	(	PUNCT
cana-665	246	36	2000	2000	NUM
cana-665	246	37	)	)	PUNCT
cana-665	246	38	.	.	PUNCT
cana-665	247	1	physiobank	physiobank	ADJ
cana-665	247	2	,	,	PUNCT
cana-665	247	3	physiotoolkit	physiotoolkit	NOUN
cana-665	247	4	,	,	PUNCT
cana-665	247	5	and	and	CCONJ
cana-665	247	6	physionet	physionet	NOUN
cana-665	247	7	:	:	PUNCT
cana-665	247	8	components	component	NOUN
cana-665	247	9	of	of	ADP
cana-665	247	10	a	a	DET
cana-665	247	11	new	new	ADJ
cana-665	247	12	research	research	NOUN
cana-665	247	13	resource	resource	NOUN
cana-665	247	14	for	for	ADP
cana-665	247	15	complex	complex	ADJ
cana-665	247	16	physiologic	physiologic	ADJ
cana-665	247	17	signals	signal	NOUN
cana-665	247	18	.	.	PUNCT
cana-665	248	1	circulation	circulation	NOUN
cana-665	249	1	[	[	X
cana-665	249	2	online	online	X
cana-665	249	3	]	]	X
cana-665	249	4	.	.	PUNCT
cana-665	250	1	101	101	NUM
cana-665	250	2	(	(	PUNCT
cana-665	250	3	23	23	NUM
cana-665	250	4	)	)	PUNCT
cana-665	250	5	,	,	PUNCT
cana-665	250	6	pp	pp	ADP
cana-665	250	7	.	.	PUNCT
cana-665	251	1	e215	e215	NUM
cana-665	251	2	–	–	PUNCT
cana-665	251	3	e220	e220	PROPN
cana-665	251	4	.	.	PUNCT
cana-665	252	1	[	[	X
cana-665	252	2	18	18	NUM
cana-665	252	3	]	]	X
cana-665	252	4	madisetti	madisetti	NOUN
cana-665	252	5	,	,	PUNCT
cana-665	252	6	v.	v.	ADP
cana-665	252	7	the	the	DET
cana-665	252	8	digital	digital	ADJ
cana-665	252	9	signal	signal	NOUN
cana-665	252	10	processing	processing	NOUN
cana-665	252	11	handbook	handbook	NOUN
cana-665	252	12	;	;	PUNCT
cana-665	252	13	crc	crc	PROPN
cana-665	252	14	press	press	PROPN
cana-665	252	15	:	:	PUNCT
cana-665	252	16	london	london	PROPN
cana-665	252	17	,	,	PUNCT
cana-665	252	18	uk	uk	PROPN
cana-665	252	19	,	,	PUNCT
cana-665	252	20	1999	1999	NUM
cana-665	252	21	;	;	PUNCT
cana-665	252	22	pp	pp	ADV
cana-665	252	23	.	.	PUNCT
cana-665	253	1	336–337	336–337	NUM
cana-665	253	2	.	.	PUNCT
cana-665	254	1	[	[	X
cana-665	254	2	19	19	NUM
cana-665	254	3	]	]	X
cana-665	254	4	khanna	khanna	PROPN
cana-665	254	5	,	,	PUNCT
cana-665	254	6	dishant	dishant	NOUN
cana-665	254	7	,	,	PUNCT
cana-665	254	8	and	and	CCONJ
cana-665	254	9	arunima	arunima	NOUN
cana-665	254	10	sharma	sharma	PROPN
cana-665	254	11	.	.	PUNCT
cana-665	255	1	"	"	PUNCT
cana-665	255	2	kernel	kernel	NOUN
cana-665	255	3	-	-	PUNCT
cana-665	255	4	based	base	VERB
cana-665	255	5	naive	naive	ADJ
cana-665	255	6	bayes	bayes	NOUN
cana-665	255	7	classifier	classifier	NOUN
cana-665	255	8	for	for	ADP
cana-665	255	9	medical	medical	ADJ
cana-665	255	10	predictions	prediction	NOUN
cana-665	255	11	.	.	PUNCT
cana-665	255	12	"	"	PUNCT
cana-665	256	1	intelligent	intelligent	ADJ
cana-665	256	2	engineering	engineering	NOUN
cana-665	256	3	informatics	informatic	NOUN
cana-665	256	4	:	:	PUNCT
cana-665	256	5	proceedings	proceeding	NOUN
cana-665	256	6	of	of	ADP
cana-665	256	7	the	the	DET
cana-665	256	8	6th	6th	ADJ
cana-665	256	9	international	international	ADJ
cana-665	256	10	conference	conference	NOUN
cana-665	256	11	on	on	ADP
cana-665	256	12	ficta	ficta	PROPN
cana-665	256	13	.	.	PUNCT
cana-665	257	1	springer	springer	PROPN
cana-665	257	2	singapore	singapore	PROPN
cana-665	257	3	,	,	PUNCT
cana-665	257	4	2018	2018	NUM
cana-665	257	5	.	.	PUNCT
cana-665	258	1	[	[	X
cana-665	258	2	20	20	NUM
cana-665	258	3	]	]	X
cana-665	258	4	freund	freund	PROPN
cana-665	258	5	,	,	PUNCT
cana-665	258	6	yoav	yoav	PROPN
cana-665	258	7	.	.	PUNCT
cana-665	259	1	"	"	PUNCT
cana-665	259	2	an	an	DET
cana-665	259	3	adaptive	adaptive	ADJ
cana-665	259	4	version	version	NOUN
cana-665	259	5	of	of	ADP
cana-665	259	6	the	the	DET
cana-665	259	7	boost	boost	NOUN
cana-665	259	8	by	by	ADP
cana-665	259	9	majority	majority	NOUN
cana-665	259	10	algorithm	algorithm	NOUN
cana-665	259	11	.	.	PUNCT
cana-665	259	12	"	"	PUNCT
cana-665	260	1	proceedings	proceeding	NOUN
cana-665	260	2	of	of	ADP
cana-665	260	3	the	the	DET
cana-665	260	4	twelfth	twelfth	ADJ
cana-665	260	5	annual	annual	ADJ
cana-665	260	6	conference	conference	NOUN
cana-665	260	7	on	on	ADP
cana-665	260	8	computational	computational	ADJ
cana-665	260	9	learning	learning	NOUN
cana-665	260	10	theory	theory	NOUN
cana-665	260	11	.	.	PUNCT
cana-665	261	1	1999	1999	NUM
cana-665	261	2	.	.	PUNCT
cana-665	262	1	[	[	X
cana-665	262	2	21	21	NUM
cana-665	262	3	]	]	X
cana-665	262	4	silipo	silipo	PROPN
cana-665	262	5	,	,	PUNCT
cana-665	262	6	rosaria	rosaria	PROPN
cana-665	262	7	,	,	PUNCT
cana-665	262	8	and	and	CCONJ
cana-665	262	9	carlo	carlo	PROPN
cana-665	262	10	marchesi	marchesi	PROPN
cana-665	262	11	.	.	PUNCT
cana-665	263	1	"	"	PUNCT
cana-665	263	2	artificial	artificial	ADJ
cana-665	263	3	neural	neural	ADJ
cana-665	263	4	networks	network	NOUN
cana-665	263	5	for	for	ADP
cana-665	263	6	automatic	automatic	ADJ
cana-665	263	7	ecg	ecg	PROPN
cana-665	263	8	analysis	analysis	NOUN
cana-665	263	9	.	.	PUNCT
cana-665	263	10	"	"	PUNCT
cana-665	264	1	ieee	ieee	NOUN
cana-665	264	2	transactions	transaction	NOUN
cana-665	264	3	on	on	ADP
cana-665	264	4	signal	signal	ADJ
cana-665	264	5	processing	processing	NOUN
cana-665	264	6	46.5	46.5	NUM
cana-665	264	7	(	(	PUNCT
cana-665	264	8	1998	1998	NUM
cana-665	264	9	):	):	PUNCT
cana-665	264	10	1417	1417	NUM
cana-665	264	11	-	-	SYM
cana-665	264	12	1425	1425	NUM
cana-665	264	13	.	.	PUNCT
cana-665	265	1	[	[	X
cana-665	265	2	22	22	NUM
cana-665	265	3	]	]	X
cana-665	265	4	p.	p.	PROPN
cana-665	265	5	deshpande	deshpande	PROPN
cana-665	265	6	,	,	PUNCT
cana-665	265	7	r.	r.	PROPN
cana-665	265	8	dhabliya	dhabliya	PROPN
cana-665	265	9	,	,	PUNCT
cana-665	265	10	d.	d.	PROPN
cana-665	265	11	khubalkar	khubalkar	PROPN
cana-665	265	12	,	,	PUNCT
cana-665	265	13	p.	p.	NOUN
cana-665	265	14	a.	a.	NOUN
cana-665	265	15	upadhye	upadhye	NOUN
cana-665	265	16	,	,	PUNCT
cana-665	265	17	k.	k.	PROPN
cana-665	265	18	a.	a.	PROPN
cana-665	265	19	wagh	wagh	PROPN
cana-665	265	20	and	and	CCONJ
cana-665	265	21	v.	v.	ADP
cana-665	265	22	khetani	khetani	X
cana-665	265	23	,	,	PUNCT
cana-665	265	24	"	"	PUNCT
cana-665	265	25	alzheimer	alzheimer	NOUN
cana-665	265	26	disease	disease	NOUN
cana-665	265	27	progression	progression	NOUN
cana-665	265	28	forecasting	forecasting	NOUN
cana-665	265	29	:	:	PUNCT
cana-665	265	30	empowering	empower	VERB
cana-665	265	31	models	model	NOUN
cana-665	265	32	through	through	ADP
cana-665	265	33	hybrid	hybrid	NOUN
cana-665	265	34	of	of	ADP
cana-665	265	35	cnn	cnn	PROPN
cana-665	265	36	and	and	CCONJ
cana-665	265	37	lstm	lstm	NOUN
cana-665	265	38	with	with	ADP
cana-665	265	39	pso	pso	NOUN
cana-665	265	40	op	op	NOUN
cana-665	265	41	-	-	PUNCT
cana-665	265	42	timization	timization	NOUN
cana-665	265	43	,	,	PUNCT
cana-665	265	44	"	"	PUNCT
cana-665	265	45	2024	2024	NUM
cana-665	265	46	international	international	ADJ
cana-665	265	47	conference	conference	NOUN
cana-665	265	48	on	on	ADP
cana-665	265	49	emerging	emerge	VERB
cana-665	265	50	smart	smart	ADJ
cana-665	265	51	computing	computing	NOUN
cana-665	265	52	and	and	CCONJ
cana-665	265	53	informatics	informatics	PROPN
cana-665	265	54	(	(	PUNCT
cana-665	265	55	esci	esci	PROPN
cana-665	265	56	)	)	PUNCT
cana-665	265	57	,	,	PUNCT
cana-665	265	58	pune	pune	NOUN
cana-665	265	59	,	,	PUNCT
cana-665	265	60	india	india	PROPN
cana-665	265	61	,	,	PUNCT
cana-665	265	62	2024	2024	NUM
cana-665	265	63	,	,	PUNCT
cana-665	265	64	pp	pp	ADJ
cana-665	265	65	.	.	PUNCT
cana-665	265	66	1	1	NUM
cana-665	265	67	-	-	SYM
cana-665	265	68	5	5	NUM
cana-665	265	69	,	,	PUNCT
cana-665	265	70	doi	doi	NOUN
cana-665	265	71	:	:	PUNCT
cana-665	265	72	10.1109	10.1109	NUM
cana-665	265	73	/	/	SYM
cana-665	265	74	esci59607.2024.10497309	esci59607.2024.10497309	PROPN
cana-665	265	75	.	.	PUNCT
cana-665	266	1	[	[	X
cana-665	266	2	23	23	NUM
cana-665	266	3	]	]	X
cana-665	266	4	thanh	thanh	PROPN
cana-665	266	5	,	,	PUNCT
cana-665	266	6	h.v.t	h.v.t	PROPN
cana-665	266	7	.	.	PROPN
cana-665	266	8	,	,	PUNCT
cana-665	266	9	ngoc	ngoc	PROPN
cana-665	266	10	,	,	PUNCT
cana-665	266	11	h.n	h.n	PROPN
cana-665	266	12	.	.	PROPN
cana-665	266	13	,	,	PUNCT
cana-665	266	14	duc	duc	PROPN
cana-665	266	15	,	,	PUNCT
cana-665	266	16	p.n	p.n	PROPN
cana-665	266	17	.	.	PROPN
cana-665	266	18	,	,	PUNCT
cana-665	266	19	"	"	PUNCT
cana-665	266	20	identifying	identify	VERB
cana-665	266	21	inverse	inverse	ADJ
cana-665	266	22	source	source	NOUN
cana-665	266	23	for	for	ADP
cana-665	266	24	diffusion	diffusion	NOUN
cana-665	266	25	equation	equation	NOUN
cana-665	266	26	with	with	ADP
cana-665	266	27	conformable	conformable	ADJ
cana-665	266	28	time	time	NOUN
cana-665	266	29	derivative	derivative	ADJ
cana-665	266	30	by	by	ADP
cana-665	266	31	fractional	fractional	ADJ
cana-665	266	32	"	"	PUNCT
cana-665	266	33	tikhonov	tikhonov	NOUN
cana-665	266	34	method	method	NOUN
cana-665	266	35	(	(	PUNCT
cana-665	266	36	2022	2022	NUM
cana-665	266	37	)	)	PUNCT
cana-665	266	38	advances	advance	NOUN
cana-665	266	39	in	in	ADP
cana-665	266	40	the	the	DET
cana-665	266	41	theory	theory	NOUN
cana-665	266	42	of	of	ADP
cana-665	266	43	nonlinear	nonlinear	ADJ
cana-665	266	44	analysis	analysis	NOUN
cana-665	266	45	and	and	CCONJ
cana-665	266	46	its	its	PRON
cana-665	266	47	applications	application	NOUN
cana-665	266	48	,	,	PUNCT
cana-665	266	49	6	6	NUM
cana-665	266	50	(	(	PUNCT
cana-665	266	51	4	4	NUM
cana-665	266	52	)	)	PUNCT
cana-665	266	53	,	,	PUNCT
cana-665	266	54	pp	pp	PROPN
cana-665	266	55	.	.	PUNCT
cana-665	267	1	433	433	NUM
cana-665	267	2	-	-	SYM
cana-665	267	3	450	450	NUM
cana-665	267	4	.	.	PUNCT
cana-665	268	1	[	[	X
cana-665	268	2	24	24	NUM
cana-665	268	3	]	]	PUNCT
cana-665	268	4	abbas	abbas	PROPN
cana-665	268	5	,	,	PUNCT
cana-665	268	6	m.i	m.i	PROPN
cana-665	268	7	.	.	PROPN
cana-665	268	8	,	,	PUNCT
cana-665	268	9	"	"	PUNCT
cana-665	268	10	picard	picard	NOUN
cana-665	268	11	and	and	CCONJ
cana-665	268	12	picard	picard	PROPN
cana-665	268	13	-	-	PUNCT
cana-665	268	14	krasnoselskii	krasnoselskii	PROPN
cana-665	268	15	iteration	iteration	NOUN
cana-665	268	16	methods	method	NOUN
cana-665	268	17	for	for	ADP
cana-665	268	18	generalized	generalized	ADJ
cana-665	268	19	proportional	proportional	ADJ
cana-665	268	20	hadamard	hadamard	ADJ
cana-665	268	21	fractional	fractional	ADJ
cana-665	268	22	integral	integral	ADJ
cana-665	268	23	equations	equation	NOUN
cana-665	268	24	"	"	PUNCT
cana-665	268	25	.	.	PUNCT
cana-665	269	1	(	(	PUNCT
cana-665	269	2	2022	2022	NUM
cana-665	269	3	)	)	PUNCT
cana-665	269	4	advances	advance	NOUN
cana-665	269	5	in	in	ADP
cana-665	269	6	the	the	DET
cana-665	269	7	theory	theory	NOUN
cana-665	269	8	of	of	ADP
cana-665	269	9	nonlinear	nonlinear	ADJ
cana-665	269	10	analysis	analysis	NOUN
cana-665	269	11	and	and	CCONJ
cana-665	269	12	its	its	PRON
cana-665	269	13	applications	application	NOUN
cana-665	269	14	,	,	PUNCT
cana-665	269	15	6	6	NUM
cana-665	269	16	(	(	PUNCT
cana-665	269	17	4	4	NUM
cana-665	269	18	)	)	PUNCT
cana-665	269	19	,	,	PUNCT
cana-665	269	20	pp	pp	PROPN
cana-665	269	21	.	.	PUNCT
cana-665	270	1	538	538	NUM
cana-665	270	2	-	-	SYM
cana-665	270	3	546	546	NUM
cana-665	270	4	.	.	PUNCT