id	sid	tid	token	lemma	pos
cana-2483	1	1	communications	communication	NOUN
cana-2483	1	2	on	on	ADP
cana-2483	1	3	applied	apply	VERB
cana-2483	1	4	nonlinear	nonlinear	ADJ
cana-2483	1	5	analysis	analysis	NOUN
cana-2483	1	6	issn	issn	NOUN
cana-2483	1	7	:	:	PUNCT
cana-2483	1	8	1074	1074	NUM
cana-2483	1	9	-	-	PUNCT
cana-2483	1	10	133x	133x	PROPN
cana-2483	1	11	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	1	12	a	a	DET
cana-2483	1	13	novel	novel	ADJ
cana-2483	1	14	cnn	cnn	PROPN
cana-2483	1	15	-	-	PUNCT
cana-2483	1	16	rnn	rnn	PROPN
cana-2483	1	17	-	-	PUNCT
cana-2483	1	18	lstm	lstm	ADJ
cana-2483	1	19	framework	framework	NOUN
cana-2483	1	20	for	for	ADP
cana-2483	1	21	predictive	predictive	ADJ
cana-2483	1	22	cardiovascular	cardiovascular	ADJ
cana-2483	1	23	diagnostics	diagnostic	NOUN
cana-2483	1	24	of	of	ADP
cana-2483	1	25	aortic	aortic	ADJ
cana-2483	1	26	stenosis	stenosis	NOUN
cana-2483	1	27	in	in	ADP
cana-2483	1	28	a	a	DET
cana-2483	1	29	large	large	ADJ
cana-2483	1	30	scale	scale	NOUN
cana-2483	1	31	12	12	NUM
cana-2483	1	32	-	-	PUNCT
cana-2483	1	33	lead	lead	NOUN
cana-2483	1	34	ecg	ecg	PROPN
cana-2483	1	35	dataset	dataset	VERB
cana-2483	1	36	francis	francis	PROPN
cana-2483	1	37	densil	densil	PROPN
cana-2483	1	38	raj	raj	PROPN
cana-2483	1	39	v1	v1	PROPN
cana-2483	1	40	,	,	PUNCT
cana-2483	1	41	aravind	aravind	PROPN
cana-2483	1	42	babu	babu	PROPN
cana-2483	1	43	l	l	PROPN
cana-2483	1	44	r2	r2	PROPN
cana-2483	1	45	,	,	PUNCT
cana-2483	1	46	sivakannan	sivakannan	NOUN
cana-2483	1	47	s3	s3	PROPN
cana-2483	1	48	1research	1research	NUM
cana-2483	1	49	scholar	scholar	NOUN
cana-2483	1	50	,	,	PUNCT
cana-2483	1	51	department	department	NOUN
cana-2483	1	52	of	of	ADP
cana-2483	1	53	computer	computer	NOUN
cana-2483	1	54	and	and	CCONJ
cana-2483	1	55	information	information	NOUN
cana-2483	1	56	science	science	NOUN
cana-2483	1	57	,	,	PUNCT
cana-2483	1	58	annamalai	annamalai	PROPN
cana-2483	1	59	university	university	PROPN
cana-2483	1	60	,	,	PUNCT
cana-2483	1	61	tamil	tamil	PROPN
cana-2483	1	62	nadu	nadu	PROPN
cana-2483	1	63	,	,	PUNCT
cana-2483	1	64	india	india	PROPN
cana-2483	1	65	,	,	PUNCT
cana-2483	1	66	fdensil@gmail.com	fdensil@gmail.com	PROPN
cana-2483	2	1	2assistant	2assistant	PROPN
cana-2483	2	2	professor	professor	NOUN
cana-2483	2	3	,	,	PUNCT
cana-2483	2	4	department	department	NOUN
cana-2483	2	5	of	of	ADP
cana-2483	2	6	computer	computer	NOUN
cana-2483	2	7	and	and	CCONJ
cana-2483	2	8	information	information	NOUN
cana-2483	2	9	science	science	NOUN
cana-2483	2	10	,	,	PUNCT
cana-2483	2	11	annamalai	annamalai	PROPN
cana-2483	2	12	university	university	PROPN
cana-2483	2	13	,	,	PUNCT
cana-2483	2	14	tamil	tamil	PROPN
cana-2483	2	15	nadu	nadu	PROPN
cana-2483	2	16	,	,	PUNCT
cana-2483	2	17	india	india	PROPN
cana-2483	2	18	,	,	PUNCT
cana-2483	2	19	er.arvee@rediffmail.com	er.arvee@rediffmail.com	PROPN
cana-2483	2	20	3assistant	3assistant	PROPN
cana-2483	2	21	professor	professor	NOUN
cana-2483	2	22	,	,	PUNCT
cana-2483	2	23	department	department	NOUN
cana-2483	2	24	of	of	ADP
cana-2483	2	25	advanced	advanced	ADJ
cana-2483	2	26	computing	computing	NOUN
cana-2483	2	27	,	,	PUNCT
cana-2483	2	28	st	st	PROPN
cana-2483	2	29	.	.	PROPN
cana-2483	2	30	joseph	joseph	PROPN
cana-2483	2	31	’s	’s	PART
cana-2483	2	32	university	university	PROPN
cana-2483	2	33	,	,	PUNCT
cana-2483	2	34	bangalore	bangalore	PROPN
cana-2483	2	35	,	,	PUNCT
cana-2483	2	36	india	india	PROPN
cana-2483	2	37	,	,	PUNCT
cana-2483	2	38	sivakannan87@gmail.com	sivakannan87@gmail.com	X
cana-2483	2	39	article	article	NOUN
cana-2483	2	40	history	history	NOUN
cana-2483	2	41	:	:	PUNCT
cana-2483	2	42	received	receive	VERB
cana-2483	2	43	:	:	PUNCT
cana-2483	2	44	23	23	NUM
cana-2483	2	45	-	-	SYM
cana-2483	2	46	09	09	NUM
cana-2483	2	47	-	-	PUNCT
cana-2483	2	48	2024	2024	NUM
cana-2483	2	49	revised	revise	VERB
cana-2483	2	50	:	:	PUNCT
cana-2483	2	51	30	30	NUM
cana-2483	2	52	-	-	SYM
cana-2483	2	53	10	10	NUM
cana-2483	2	54	-	-	PUNCT
cana-2483	2	55	2024	2024	NUM
cana-2483	2	56	accepted	accept	VERB
cana-2483	2	57	:	:	PUNCT
cana-2483	2	58	11	11	NUM
cana-2483	2	59	-	-	SYM
cana-2483	2	60	11	11	NUM
cana-2483	2	61	-	-	PUNCT
cana-2483	2	62	2024	2024	NUM
cana-2483	2	63	abstract	abstract	NOUN
cana-2483	2	64	:	:	PUNCT
cana-2483	2	65	aortic	aortic	ADJ
cana-2483	2	66	stenosis	stenosis	NOUN
cana-2483	2	67	(	(	PUNCT
cana-2483	2	68	as	as	ADP
cana-2483	2	69	)	)	PUNCT
cana-2483	2	70	is	be	AUX
cana-2483	2	71	a	a	DET
cana-2483	2	72	disease	disease	NOUN
cana-2483	2	73	of	of	ADP
cana-2483	2	74	the	the	DET
cana-2483	2	75	valve	valve	NOUN
cana-2483	2	76	between	between	ADP
cana-2483	2	77	the	the	DET
cana-2483	2	78	heart	heart	NOUN
cana-2483	2	79	and	and	CCONJ
cana-2483	2	80	aorta	aorta	NOUN
cana-2483	2	81	and	and	CCONJ
cana-2483	2	82	may	may	AUX
cana-2483	2	83	lead	lead	VERB
cana-2483	2	84	to	to	ADP
cana-2483	2	85	heart	heart	NOUN
cana-2483	2	86	failure	failure	NOUN
cana-2483	2	87	if	if	SCONJ
cana-2483	2	88	left	leave	VERB
cana-2483	2	89	untreated	untreated	ADJ
cana-2483	2	90	;	;	PUNCT
cana-2483	2	91	it	it	PRON
cana-2483	2	92	is	be	AUX
cana-2483	2	93	one	one	NUM
cana-2483	2	94	of	of	ADP
cana-2483	2	95	the	the	DET
cana-2483	2	96	significant	significant	ADJ
cana-2483	2	97	valvular	valvular	ADJ
cana-2483	2	98	heart	heart	NOUN
cana-2483	2	99	diseases	disease	NOUN
cana-2483	2	100	caused	cause	VERB
cana-2483	2	101	by	by	ADP
cana-2483	2	102	the	the	DET
cana-2483	2	103	narrowing	narrowing	NOUN
cana-2483	2	104	of	of	ADP
cana-2483	2	105	this	this	DET
cana-2483	2	106	valve	valve	NOUN
cana-2483	2	107	.	.	PUNCT
cana-2483	3	1	conventional	conventional	ADJ
cana-2483	3	2	diagnostic	diagnostic	ADJ
cana-2483	3	3	techniques	technique	NOUN
cana-2483	3	4	are	be	AUX
cana-2483	3	5	invasive	invasive	ADJ
cana-2483	3	6	and	and	CCONJ
cana-2483	3	7	require	require	VERB
cana-2483	3	8	resources	resource	NOUN
cana-2483	3	9	.	.	PUNCT
cana-2483	4	1	machine	machine	NOUN
cana-2483	4	2	learning	learning	NOUN
cana-2483	4	3	and	and	CCONJ
cana-2483	4	4	deep	deep	ADJ
cana-2483	4	5	learning	learning	NOUN
cana-2483	4	6	approaches	approach	NOUN
cana-2483	4	7	for	for	ADP
cana-2483	4	8	the	the	DET
cana-2483	4	9	non	non	ADJ
cana-2483	4	10	-	-	ADJ
cana-2483	4	11	invasive	invasive	ADJ
cana-2483	4	12	identification	identification	NOUN
cana-2483	4	13	of	of	ADP
cana-2483	4	14	as	as	SCONJ
cana-2483	4	15	were	be	AUX
cana-2483	4	16	investigated	investigate	VERB
cana-2483	4	17	using	use	VERB
cana-2483	4	18	an	an	DET
cana-2483	4	19	extensive	extensive	ADJ
cana-2483	4	20	12	12	NUM
cana-2483	4	21	-	-	PUNCT
cana-2483	4	22	lead	lead	NOUN
cana-2483	4	23	ecg	ecg	PROPN
cana-2483	4	24	dataset	dataset	NOUN
cana-2483	4	25	of	of	ADP
cana-2483	4	26	10,646	10,646	NUM
cana-2483	4	27	patient	patient	NOUN
cana-2483	4	28	records	record	NOUN
cana-2483	4	29	.	.	PUNCT
cana-2483	5	1	a	a	DET
cana-2483	5	2	range	range	NOUN
cana-2483	5	3	of	of	ADP
cana-2483	5	4	models	model	NOUN
cana-2483	5	5	was	be	AUX
cana-2483	5	6	assessed	assess	VERB
cana-2483	5	7	for	for	ADP
cana-2483	5	8	diagnostic	diagnostic	ADJ
cana-2483	5	9	performance	performance	NOUN
cana-2483	5	10	,	,	PUNCT
cana-2483	5	11	including	include	VERB
cana-2483	5	12	support	support	NOUN
cana-2483	5	13	vector	vector	NOUN
cana-2483	5	14	machine	machine	NOUN
cana-2483	5	15	(	(	PUNCT
cana-2483	5	16	svm	svm	PROPN
cana-2483	5	17	)	)	PUNCT
cana-2483	5	18	,	,	PUNCT
cana-2483	5	19	random	random	ADJ
cana-2483	5	20	forest	forest	NOUN
cana-2483	5	21	(	(	PUNCT
cana-2483	5	22	rf	rf	NOUN
cana-2483	5	23	)	)	PUNCT
cana-2483	5	24	,	,	PUNCT
cana-2483	5	25	convolutional	convolutional	ADJ
cana-2483	5	26	neural	neural	ADJ
cana-2483	5	27	network	network	NOUN
cana-2483	5	28	(	(	PUNCT
cana-2483	5	29	cnn	cnn	PROPN
cana-2483	5	30	)	)	PUNCT
cana-2483	5	31	,	,	PUNCT
cana-2483	5	32	long	long	ADJ
cana-2483	5	33	short	short	ADJ
cana-2483	5	34	-	-	PUNCT
cana-2483	5	35	term	term	NOUN
cana-2483	5	36	memory	memory	NOUN
cana-2483	5	37	(	(	PUNCT
cana-2483	5	38	lstm	lstm	PROPN
cana-2483	5	39	)	)	PUNCT
cana-2483	5	40	,	,	PUNCT
cana-2483	5	41	a	a	DET
cana-2483	5	42	hybrid	hybrid	ADJ
cana-2483	5	43	cnn	cnn	PROPN
cana-2483	5	44	-	-	PUNCT
cana-2483	5	45	lstm	lstm	PROPN
cana-2483	5	46	model	model	NOUN
cana-2483	5	47	,	,	PUNCT
cana-2483	5	48	and	and	CCONJ
cana-2483	5	49	a	a	DET
cana-2483	5	50	hybrid	hybrid	ADJ
cana-2483	5	51	cnn	cnn	PROPN
cana-2483	5	52	-	-	PUNCT
cana-2483	5	53	rnn	rnn	PROPN
cana-2483	5	54	-	-	PUNCT
cana-2483	5	55	lstm	lstm	PROPN
cana-2483	5	56	model	model	NOUN
cana-2483	5	57	.	.	PUNCT
cana-2483	6	1	the	the	DET
cana-2483	6	2	results	result	NOUN
cana-2483	6	3	indicate	indicate	VERB
cana-2483	6	4	that	that	SCONJ
cana-2483	6	5	svm	svm	NOUN
cana-2483	6	6	and	and	CCONJ
cana-2483	6	7	rf	rf	PRON
cana-2483	6	8	had	have	VERB
cana-2483	6	9	74	74	NUM
cana-2483	6	10	%	%	NOUN
cana-2483	6	11	and	and	CCONJ
cana-2483	6	12	76	76	NUM
cana-2483	6	13	%	%	NOUN
cana-2483	6	14	accuracy	accuracy	NOUN
cana-2483	6	15	,	,	PUNCT
cana-2483	6	16	respectively	respectively	ADV
cana-2483	6	17	,	,	PUNCT
cana-2483	6	18	while	while	SCONJ
cana-2483	6	19	the	the	DET
cana-2483	6	20	cnn	cnn	PROPN
cana-2483	6	21	model	model	NOUN
cana-2483	6	22	improved	improve	VERB
cana-2483	6	23	the	the	DET
cana-2483	6	24	accuracy	accuracy	NOUN
cana-2483	6	25	to	to	ADP
cana-2483	6	26	80	80	NUM
cana-2483	6	27	%	%	NOUN
cana-2483	6	28	.	.	PUNCT
cana-2483	7	1	the	the	DET
cana-2483	7	2	accuracy	accuracy	NOUN
cana-2483	7	3	of	of	ADP
cana-2483	7	4	the	the	DET
cana-2483	7	5	lstm	lstm	PROPN
cana-2483	7	6	model	model	NOUN
cana-2483	7	7	was	be	AUX
cana-2483	7	8	82	82	NUM
cana-2483	7	9	%	%	NOUN
cana-2483	7	10	,	,	PUNCT
cana-2483	7	11	and	and	CCONJ
cana-2483	7	12	the	the	DET
cana-2483	7	13	accuracy	accuracy	NOUN
cana-2483	7	14	of	of	ADP
cana-2483	7	15	the	the	DET
cana-2483	7	16	cnnlstm	cnnlstm	NOUN
cana-2483	7	17	model	model	NOUN
cana-2483	7	18	,	,	PUNCT
cana-2483	7	19	which	which	PRON
cana-2483	7	20	had	have	VERB
cana-2483	7	21	an	an	DET
cana-2483	7	22	accuracy	accuracy	NOUN
cana-2483	7	23	of	of	ADP
cana-2483	7	24	87	87	NUM
cana-2483	7	25	%	%	NOUN
cana-2483	7	26	and	and	CCONJ
cana-2483	7	27	high	high	ADJ
cana-2483	7	28	precision	precision	NOUN
cana-2483	7	29	,	,	PUNCT
cana-2483	7	30	recall	recall	NOUN
cana-2483	7	31	,	,	PUNCT
cana-2483	7	32	and	and	CCONJ
cana-2483	7	33	f1	f1	PROPN
cana-2483	7	34	scores	score	NOUN
cana-2483	7	35	.	.	PUNCT
cana-2483	8	1	the	the	DET
cana-2483	8	2	promise	promise	NOUN
cana-2483	8	3	of	of	ADP
cana-2483	8	4	deep	deep	ADJ
cana-2483	8	5	learning	learning	NOUN
cana-2483	8	6	,	,	PUNCT
cana-2483	8	7	especially	especially	ADV
cana-2483	8	8	hybrid	hybrid	ADJ
cana-2483	8	9	models	model	NOUN
cana-2483	8	10	,	,	PUNCT
cana-2483	8	11	for	for	ADP
cana-2483	8	12	advancing	advance	VERB
cana-2483	8	13	non	non	ADJ
cana-2483	8	14	-	-	ADJ
cana-2483	8	15	invasive	invasive	ADJ
cana-2483	8	16	diagnostic	diagnostic	ADJ
cana-2483	8	17	techniques	technique	NOUN
cana-2483	8	18	for	for	ADP
cana-2483	8	19	aortic	aortic	ADJ
cana-2483	8	20	stenosis	stenosis	NOUN
cana-2483	8	21	,	,	PUNCT
cana-2483	8	22	including	include	VERB
cana-2483	8	23	those	those	PRON
cana-2483	8	24	that	that	PRON
cana-2483	8	25	could	could	AUX
cana-2483	8	26	greatly	greatly	ADV
cana-2483	8	27	aid	aid	VERB
cana-2483	8	28	early	early	ADJ
cana-2483	8	29	detection	detection	NOUN
cana-2483	8	30	and	and	CCONJ
cana-2483	8	31	improve	improve	VERB
cana-2483	8	32	patient	patient	ADJ
cana-2483	8	33	outcomes	outcome	NOUN
cana-2483	8	34	in	in	ADP
cana-2483	8	35	a	a	DET
cana-2483	8	36	clinical	clinical	ADJ
cana-2483	8	37	setting	setting	NOUN
cana-2483	8	38	,	,	PUNCT
cana-2483	8	39	is	be	AUX
cana-2483	8	40	highlighted	highlight	VERB
cana-2483	8	41	by	by	ADP
cana-2483	8	42	this	this	DET
cana-2483	8	43	research	research	NOUN
cana-2483	8	44	.	.	PUNCT
cana-2483	9	1	keywords	keyword	NOUN
cana-2483	9	2	:	:	PUNCT
cana-2483	9	3	aortic	aortic	ADJ
cana-2483	9	4	stenosis	stenosis	NOUN
cana-2483	9	5	,	,	PUNCT
cana-2483	9	6	convolutional	convolutional	ADJ
cana-2483	9	7	neural	neural	ADJ
cana-2483	9	8	network	network	NOUN
cana-2483	9	9	,	,	PUNCT
cana-2483	9	10	random	random	ADJ
cana-2483	9	11	forest	forest	NOUN
cana-2483	9	12	,	,	PUNCT
cana-2483	9	13	long	long	ADJ
cana-2483	9	14	short	short	ADJ
cana-2483	9	15	-	-	PUNCT
cana-2483	9	16	term	term	NOUN
cana-2483	9	17	memory	memory	NOUN
cana-2483	9	18	,	,	PUNCT
cana-2483	9	19	support	support	NOUN
cana-2483	9	20	vector	vector	NOUN
cana-2483	9	21	machine	machine	NOUN
cana-2483	9	22	,	,	PUNCT
cana-2483	9	23	12	12	NUM
cana-2483	9	24	lead	lead	NOUN
cana-2483	9	25	ecg	ecg	PROPN
cana-2483	9	26	1	1	NUM
cana-2483	9	27	.	.	PUNCT
cana-2483	10	1	introduction	introduction	NOUN
cana-2483	10	2	ecg	ecg	PROPN
cana-2483	10	3	is	be	AUX
cana-2483	10	4	a	a	DET
cana-2483	10	5	graphic	graphic	ADJ
cana-2483	10	6	representation	representation	NOUN
cana-2483	10	7	of	of	ADP
cana-2483	10	8	voltage	voltage	NOUN
cana-2483	10	9	over	over	ADP
cana-2483	10	10	time	time	NOUN
cana-2483	10	11	corresponding	correspond	VERB
cana-2483	10	12	to	to	ADP
cana-2483	10	13	the	the	DET
cana-2483	10	14	electrical	electrical	ADJ
cana-2483	10	15	activities	activity	NOUN
cana-2483	10	16	accrued	accrue	VERB
cana-2483	10	17	during	during	ADP
cana-2483	10	18	the	the	DET
cana-2483	10	19	enfolding	enfold	VERB
cana-2483	10	20	depolarisation	depolarisation	NOUN
cana-2483	10	21	and	and	CCONJ
cana-2483	10	22	subsequent	subsequent	ADJ
cana-2483	10	23	repolarisation	repolarisation	NOUN
cana-2483	10	24	of	of	ADP
cana-2483	10	25	the	the	DET
cana-2483	10	26	cardiac	cardiac	ADJ
cana-2483	10	27	muscle	muscle	NOUN
cana-2483	10	28	with	with	ADP
cana-2483	10	29	each	each	DET
cana-2483	10	30	cardiac	cardiac	ADJ
cana-2483	10	31	cycle	cycle	NOUN
cana-2483	10	32	.	.	PUNCT
cana-2483	11	1	the	the	DET
cana-2483	11	2	ecg	ecg	PROPN
cana-2483	11	3	trace	trace	NOUN
cana-2483	11	4	of	of	ADP
cana-2483	11	5	a	a	DET
cana-2483	11	6	typical	typical	ADJ
cana-2483	11	7	heartbeat	heartbeat	NOUN
cana-2483	11	8	encompasses	encompass	VERB
cana-2483	11	9	a	a	DET
cana-2483	11	10	series	series	NOUN
cana-2483	11	11	of	of	ADP
cana-2483	11	12	waves	wave	NOUN
cana-2483	11	13	:	:	PUNCT
cana-2483	11	14	a	a	DET
cana-2483	11	15	p	p	NOUN
cana-2483	11	16	wave	wave	NOUN
cana-2483	11	17	,	,	PUNCT
cana-2483	11	18	the	the	DET
cana-2483	11	19	process	process	NOUN
cana-2483	11	20	of	of	ADP
cana-2483	11	21	atrial	atrial	ADJ
cana-2483	11	22	depolarisation	depolarisation	NOUN
cana-2483	11	23	;	;	PUNCT
cana-2483	11	24	a	a	DET
cana-2483	11	25	qrs	qrs	PROPN
cana-2483	11	26	complex	complex	ADJ
cana-2483	11	27	,	,	PUNCT
cana-2483	11	28	ventricular	ventricular	ADJ
cana-2483	11	29	depolarisation	depolarisation	NOUN
cana-2483	11	30	;	;	PUNCT
cana-2483	11	31	and	and	CCONJ
cana-2483	11	32	a	a	DET
cana-2483	11	33	t	t	NOUN
cana-2483	11	34	wave	wave	NOUN
cana-2483	11	35	,	,	PUNCT
cana-2483	11	36	ventricular	ventricular	ADJ
cana-2483	11	37	repolarisation	repolarisation	NOUN
cana-2483	11	38	.	.	PUNCT
cana-2483	12	1	the	the	DET
cana-2483	12	2	pr	pr	PROPN
cana-2483	12	3	,	,	PUNCT
cana-2483	12	4	st	st	PROPN
cana-2483	12	5	and	and	CCONJ
cana-2483	12	6	qt	qt	NOUN
cana-2483	12	7	intervals	interval	NOUN
cana-2483	12	8	are	be	AUX
cana-2483	12	9	additional	additional	ADJ
cana-2483	12	10	segments	segment	NOUN
cana-2483	12	11	of	of	ADP
cana-2483	12	12	the	the	DET
cana-2483	12	13	signal	signal	NOUN
cana-2483	12	14	.	.	PUNCT
cana-2483	13	1	arrhythmias	arrhythmia	NOUN
cana-2483	13	2	are	be	AUX
cana-2483	13	3	a	a	DET
cana-2483	13	4	broad	broad	ADJ
cana-2483	13	5	category	category	NOUN
cana-2483	13	6	of	of	ADP
cana-2483	13	7	cardiac	cardiac	ADJ
cana-2483	13	8	disorders	disorder	NOUN
cana-2483	13	9	manifested	manifest	VERB
cana-2483	13	10	by	by	ADP
cana-2483	13	11	abnormalities	abnormality	NOUN
cana-2483	13	12	of	of	ADP
cana-2483	13	13	the	the	DET
cana-2483	13	14	heart	heart	NOUN
cana-2483	13	15	beating	beat	VERB
cana-2483	13	16	at	at	ADP
cana-2483	13	17	an	an	DET
cana-2483	13	18	abnormal	abnormal	ADJ
cana-2483	13	19	rate	rate	NOUN
cana-2483	13	20	or	or	CCONJ
cana-2483	13	21	rhythm	rhythm	NOUN
cana-2483	13	22	.	.	PUNCT
cana-2483	14	1	however	however	ADV
cana-2483	14	2	,	,	PUNCT
cana-2483	14	3	there	there	PRON
cana-2483	14	4	is	be	VERB
cana-2483	14	5	a	a	DET
cana-2483	14	6	multitude	multitude	NOUN
cana-2483	14	7	of	of	ADP
cana-2483	14	8	such	such	ADJ
cana-2483	14	9	categories	category	NOUN
cana-2483	14	10	,	,	PUNCT
cana-2483	14	11	each	each	PRON
cana-2483	14	12	with	with	ADP
cana-2483	14	13	a	a	DET
cana-2483	14	14	different	different	ADJ
cana-2483	14	15	presentation	presentation	NOUN
cana-2483	14	16	,	,	PUNCT
cana-2483	14	17	such	such	ADJ
cana-2483	14	18	as	as	ADP
cana-2483	14	19	sinus	sinus	NOUN
cana-2483	14	20	bradycardia	bradycardia	NOUN
cana-2483	14	21	(	(	PUNCT
cana-2483	14	22	sb	sb	NOUN
cana-2483	14	23	)	)	PUNCT
cana-2483	14	24	,	,	PUNCT
cana-2483	14	25	atrial	atrial	ADJ
cana-2483	14	26	tachycardia	tachycardia	NOUN
cana-2483	14	27	(	(	PUNCT
cana-2483	14	28	at	at	ADP
cana-2483	14	29	)	)	PUNCT
cana-2483	14	30	,	,	PUNCT
cana-2483	14	31	premature	premature	ADJ
cana-2483	14	32	ventricular	ventricular	ADJ
cana-2483	14	33	contraction	contraction	NOUN
cana-2483	14	34	(	(	PUNCT
cana-2483	14	35	pvc	pvc	NOUN
cana-2483	14	36	)	)	PUNCT
cana-2483	14	37	,	,	PUNCT
cana-2483	14	38	and	and	CCONJ
cana-2483	14	39	many	many	ADJ
cana-2483	14	40	other	other	ADJ
cana-2483	14	41	chaotic	chaotic	ADJ
cana-2483	14	42	rhythms	rhythm	NOUN
cana-2483	14	43	with	with	ADP
cana-2483	14	44	absent	absent	ADJ
cana-2483	14	45	or	or	CCONJ
cana-2483	14	46	abnormal	abnormal	ADJ
cana-2483	14	47	waveforms	waveform	NOUN
cana-2483	14	48	and	and	CCONJ
cana-2483	14	49	intervals	interval	NOUN
cana-2483	14	50	.	.	PUNCT
cana-2483	15	1	atrial	atrial	ADJ
cana-2483	15	2	fibrillation	fibrillation	NOUN
cana-2483	15	3	(	(	PUNCT
cana-2483	15	4	afib	afib	PROPN
cana-2483	15	5	)	)	PUNCT
cana-2483	15	6	is	be	AUX
cana-2483	15	7	the	the	DET
cana-2483	15	8	most	most	ADV
cana-2483	15	9	prevalent	prevalent	ADJ
cana-2483	15	10	and	and	CCONJ
cana-2483	15	11	harmful	harmful	ADJ
cana-2483	15	12	type	type	NOUN
cana-2483	15	13	of	of	ADP
cana-2483	15	14	arrhythmia	arrhythmia	NOUN
cana-2483	15	15	and	and	CCONJ
cana-2483	15	16	may	may	AUX
cana-2483	15	17	occur	occur	VERB
cana-2483	15	18	with	with	ADP
cana-2483	15	19	aortic	aortic	ADJ
cana-2483	15	20	stenosis	stenosis	NOUN
cana-2483	15	21	at	at	ADP
cana-2483	15	22	the	the	DET
cana-2483	15	23	685	685	NUM
cana-2483	15	24	lstm	lstm	ADJ
cana-2483	15	25	hybrid	hybrid	NOUN
cana-2483	15	26	model	model	NOUN
cana-2483	15	27	was	be	AUX
cana-2483	15	28	85	85	NUM
cana-2483	15	29	%	%	NOUN
cana-2483	15	30	.	.	PUNCT
cana-2483	16	1	the	the	DET
cana-2483	16	2	most	most	ADV
cana-2483	16	3	proficient	proficient	ADJ
cana-2483	16	4	model	model	NOUN
cana-2483	16	5	was	be	AUX
cana-2483	16	6	the	the	DET
cana-2483	16	7	hybrid	hybrid	ADJ
cana-2483	16	8	cnn	cnn	PROPN
cana-2483	16	9	-	-	PUNCT
cana-2483	16	10	rnnvol	rnnvol	PROPN
cana-2483	16	11	32	32	NUM
cana-2483	16	12	no	no	NOUN
cana-2483	16	13	.	.	NOUN
cana-2483	16	14	3	3	NUM
cana-2483	16	15	(	(	PUNCT
cana-2483	16	16	2025	2025	NUM
cana-2483	16	17	)	)	PUNCT
cana-2483	16	18	communications	communication	NOUN
cana-2483	16	19	on	on	ADP
cana-2483	16	20	applied	apply	VERB
cana-2483	16	21	nonlinear	nonlinear	ADJ
cana-2483	16	22	analysis	analysis	NOUN
cana-2483	16	23	issn	issn	NOUN
cana-2483	16	24	:	:	PUNCT
cana-2483	16	25	1074	1074	NUM
cana-2483	16	26	-	-	PUNCT
cana-2483	16	27	133x	133x	PROPN
cana-2483	16	28	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	16	29	same	same	ADJ
cana-2483	16	30	time	time	NOUN
cana-2483	16	31	.	.	PUNCT
cana-2483	17	1	these	these	DET
cana-2483	17	2	conditions	condition	NOUN
cana-2483	17	3	are	be	AUX
cana-2483	17	4	associated	associate	VERB
cana-2483	17	5	with	with	ADP
cana-2483	17	6	a	a	DET
cana-2483	17	7	striking	striking	ADJ
cana-2483	17	8	increase	increase	NOUN
cana-2483	17	9	in	in	ADP
cana-2483	17	10	the	the	DET
cana-2483	17	11	risk	risk	NOUN
cana-2483	17	12	of	of	ADP
cana-2483	17	13	severe	severe	ADJ
cana-2483	17	14	cardiac	cardiac	ADJ
cana-2483	17	15	dysfunction	dysfunction	NOUN
cana-2483	17	16	and	and	CCONJ
cana-2483	17	17	cerebrovascular	cerebrovascular	ADJ
cana-2483	17	18	accidents	accident	NOUN
cana-2483	17	19	.	.	PUNCT
cana-2483	18	1	first	first	ADV
cana-2483	18	2	,	,	PUNCT
cana-2483	18	3	ecg	ecg	PROPN
cana-2483	18	4	data	data	PROPN
cana-2483	18	5	is	be	AUX
cana-2483	18	6	screened	screen	VERB
cana-2483	18	7	and	and	CCONJ
cana-2483	18	8	assessed	assess	VERB
cana-2483	18	9	according	accord	VERB
cana-2483	18	10	to	to	ADP
cana-2483	18	11	the	the	DET
cana-2483	18	12	current	current	ADJ
cana-2483	18	13	diagnostic	diagnostic	ADJ
cana-2483	18	14	methodologies	methodology	NOUN
cana-2483	18	15	by	by	ADP
cana-2483	18	16	either	either	PRON
cana-2483	18	17	cardiologists	cardiologist	NOUN
cana-2483	18	18	or	or	CCONJ
cana-2483	18	19	general	general	ADJ
cana-2483	18	20	practitioners	practitioner	NOUN
cana-2483	18	21	to	to	PART
cana-2483	18	22	determine	determine	VERB
cana-2483	18	23	the	the	DET
cana-2483	18	24	correct	correct	ADJ
cana-2483	18	25	diagnosis	diagnosis	NOUN
cana-2483	18	26	and	and	CCONJ
cana-2483	18	27	subsequent	subsequent	ADJ
cana-2483	18	28	treatment	treatment	NOUN
cana-2483	18	29	steps	step	NOUN
cana-2483	18	30	,	,	PUNCT
cana-2483	18	31	including	include	VERB
cana-2483	18	32	pharmacological	pharmacological	ADJ
cana-2483	18	33	treatments	treatment	NOUN
cana-2483	18	34	and	and	CCONJ
cana-2483	18	35	radiofrequency	radiofrequency	NOUN
cana-2483	18	36	catheter	catheter	NOUN
cana-2483	18	37	ablation	ablation	NOUN
cana-2483	18	38	.	.	PUNCT
cana-2483	19	1	nevertheless	nevertheless	ADV
cana-2483	19	2	,	,	PUNCT
cana-2483	19	3	public	public	ADJ
cana-2483	19	4	health	health	NOUN
cana-2483	19	5	initiatives	initiative	NOUN
cana-2483	19	6	related	relate	VERB
cana-2483	19	7	to	to	ADP
cana-2483	19	8	broadening	broaden	VERB
cana-2483	19	9	screening	screening	NOUN
cana-2483	19	10	practices	practice	NOUN
cana-2483	19	11	and	and	CCONJ
cana-2483	19	12	increasing	increase	VERB
cana-2483	19	13	the	the	DET
cana-2483	19	14	adoption	adoption	NOUN
cana-2483	19	15	of	of	ADP
cana-2483	19	16	ecg	ecg	PROPN
cana-2483	19	17	-	-	ADJ
cana-2483	19	18	capable	capable	ADJ
cana-2483	19	19	wearable	wearable	ADJ
cana-2483	19	20	technology	technology	NOUN
cana-2483	19	21	have	have	AUX
cana-2483	19	22	increased	increase	VERB
cana-2483	19	23	the	the	DET
cana-2483	19	24	demand	demand	NOUN
cana-2483	19	25	for	for	ADP
cana-2483	19	26	increasingly	increasingly	ADV
cana-2483	19	27	precise	precise	ADJ
cana-2483	19	28	automated	automate	VERB
cana-2483	19	29	diagnoses	diagnosis	NOUN
cana-2483	19	30	of	of	ADP
cana-2483	19	31	cardiac	cardiac	ADJ
cana-2483	19	32	conditions	condition	NOUN
cana-2483	19	33	.	.	PUNCT
cana-2483	20	1	for	for	ADP
cana-2483	20	2	algorithm	algorithm	NOUN
cana-2483	20	3	training	training	NOUN
cana-2483	20	4	,	,	PUNCT
cana-2483	20	5	such	such	ADJ
cana-2483	20	6	classification	classification	NOUN
cana-2483	20	7	techniques	technique	NOUN
cana-2483	20	8	require	require	VERB
cana-2483	20	9	massive	massive	ADJ
cana-2483	20	10	datasets	dataset	NOUN
cana-2483	20	11	containing	contain	VERB
cana-2483	20	12	all	all	DET
cana-2483	20	13	possible	possible	ADJ
cana-2483	20	14	types	type	NOUN
cana-2483	20	15	of	of	ADP
cana-2483	20	16	conditions	condition	NOUN
cana-2483	20	17	.	.	PUNCT
cana-2483	21	1	a	a	DET
cana-2483	21	2	deep	deep	ADJ
cana-2483	21	3	learning	learning	NOUN
cana-2483	21	4	model	model	NOUN
cana-2483	21	5	for	for	ADP
cana-2483	21	6	early	early	ADJ
cana-2483	21	7	diagnosis	diagnosis	NOUN
cana-2483	21	8	and	and	CCONJ
cana-2483	21	9	prediction	prediction	NOUN
cana-2483	21	10	of	of	ADP
cana-2483	21	11	aortic	aortic	ADJ
cana-2483	21	12	stenosis	stenosis	NOUN
cana-2483	21	13	is	be	AUX
cana-2483	21	14	a	a	DET
cana-2483	21	15	breakthrough	breakthrough	NOUN
cana-2483	21	16	in	in	ADP
cana-2483	21	17	cardiology	cardiology	NOUN
cana-2483	21	18	,	,	PUNCT
cana-2483	21	19	leveraging	leverage	VERB
cana-2483	21	20	the	the	DET
cana-2483	21	21	latest	late	ADJ
cana-2483	21	22	in	in	ADP
cana-2483	21	23	artificial	artificial	ADJ
cana-2483	21	24	intelligence	intelligence	NOUN
cana-2483	21	25	to	to	PART
cana-2483	21	26	meticulously	meticulously	ADV
cana-2483	21	27	parse	parse	VERB
cana-2483	21	28	through	through	ADP
cana-2483	21	29	a	a	DET
cana-2483	21	30	vast	vast	ADJ
cana-2483	21	31	dataset	dataset	NOUN
cana-2483	21	32	from	from	ADP
cana-2483	21	33	a	a	DET
cana-2483	21	34	12	12	NUM
cana-2483	21	35	-	-	PUNCT
cana-2483	21	36	lead	lead	NOUN
cana-2483	21	37	electrocardiogram	electrocardiogram	NOUN
cana-2483	21	38	(	(	PUNCT
cana-2483	21	39	ecg	ecg	PROPN
cana-2483	21	40	)	)	PUNCT
cana-2483	21	41	database	database	NOUN
cana-2483	21	42	.	.	PUNCT
cana-2483	22	1	this	this	PRON
cana-2483	22	2	is	be	AUX
cana-2483	22	3	the	the	DET
cana-2483	22	4	first	first	ADJ
cana-2483	22	5	initiative	initiative	NOUN
cana-2483	22	6	to	to	PART
cana-2483	22	7	seek	seek	VERB
cana-2483	22	8	a	a	DET
cana-2483	22	9	deeper	deep	ADJ
cana-2483	22	10	understanding	understanding	NOUN
cana-2483	22	11	of	of	ADP
cana-2483	22	12	arrhythmias	arrhythmia	NOUN
cana-2483	22	13	and	and	CCONJ
cana-2483	22	14	the	the	DET
cana-2483	22	15	mechanisms	mechanism	NOUN
cana-2483	22	16	behind	behind	ADP
cana-2483	22	17	their	their	PRON
cana-2483	22	18	relation	relation	NOUN
cana-2483	22	19	with	with	ADP
cana-2483	22	20	aortic	aortic	ADJ
cana-2483	22	21	stenosis	stenosis	NOUN
cana-2483	22	22	.	.	PUNCT
cana-2483	23	1	the	the	DET
cana-2483	23	2	goal	goal	NOUN
cana-2483	23	3	is	be	AUX
cana-2483	23	4	to	to	PART
cana-2483	23	5	raise	raise	VERB
cana-2483	23	6	patient	patient	ADJ
cana-2483	23	7	outcomes	outcome	NOUN
cana-2483	23	8	substantially	substantially	ADV
cana-2483	23	9	through	through	ADP
cana-2483	23	10	improved	improve	VERB
cana-2483	23	11	risk	risk	NOUN
cana-2483	23	12	assessment	assessment	NOUN
cana-2483	23	13	methodologies	methodology	NOUN
cana-2483	23	14	and	and	CCONJ
cana-2483	23	15	personalised	personalised	ADJ
cana-2483	23	16	treatment	treatment	NOUN
cana-2483	23	17	paradigms	paradigm	NOUN
cana-2483	23	18	.	.	PUNCT
cana-2483	24	1	this	this	DET
cana-2483	24	2	research	research	NOUN
cana-2483	24	3	aims	aim	VERB
cana-2483	24	4	to	to	PART
cana-2483	24	5	utilise	utilise	VERB
cana-2483	24	6	the	the	DET
cana-2483	24	7	sophisticated	sophisticated	ADJ
cana-2483	24	8	algorithms	algorithm	NOUN
cana-2483	24	9	built	build	VERB
cana-2483	24	10	into	into	ADP
cana-2483	24	11	deep	deep	ADJ
cana-2483	24	12	learning	learning	NOUN
cana-2483	24	13	to	to	PART
cana-2483	24	14	extract	extract	VERB
cana-2483	24	15	subtle	subtle	ADJ
cana-2483	24	16	patterns	pattern	NOUN
cana-2483	24	17	in	in	ADP
cana-2483	24	18	ecg	ecg	PROPN
cana-2483	24	19	readings	reading	NOUN
cana-2483	24	20	that	that	PRON
cana-2483	24	21	could	could	AUX
cana-2483	24	22	be	be	AUX
cana-2483	24	23	early	early	ADJ
cana-2483	24	24	signals	signal	NOUN
cana-2483	24	25	of	of	ADP
cana-2483	24	26	the	the	DET
cana-2483	24	27	onset	onset	NOUN
cana-2483	24	28	or	or	CCONJ
cana-2483	24	29	progression	progression	NOUN
cana-2483	24	30	of	of	ADP
cana-2483	24	31	aortic	aortic	ADJ
cana-2483	24	32	stenosis	stenosis	NOUN
cana-2483	24	33	.	.	PUNCT
cana-2483	25	1	as	as	SCONJ
cana-2483	25	2	these	these	DET
cana-2483	25	3	techniques	technique	NOUN
cana-2483	25	4	allow	allow	VERB
cana-2483	25	5	for	for	ADP
cana-2483	25	6	early	early	ADJ
cana-2483	25	7	disease	disease	NOUN
cana-2483	25	8	detection	detection	NOUN
cana-2483	25	9	,	,	PUNCT
cana-2483	25	10	early	early	ADJ
cana-2483	25	11	detection	detection	NOUN
cana-2483	25	12	is	be	AUX
cana-2483	25	13	critical	critical	ADJ
cana-2483	25	14	to	to	PART
cana-2483	25	15	let	let	VERB
cana-2483	25	16	time	time	NOUN
cana-2483	25	17	-	-	PUNCT
cana-2483	25	18	appropriate	appropriate	ADJ
cana-2483	25	19	interventions	intervention	NOUN
cana-2483	25	20	and	and	CCONJ
cana-2483	25	21	formulation	formulation	NOUN
cana-2483	25	22	of	of	ADP
cana-2483	25	23	custom	custom	NOUN
cana-2483	25	24	therapeutic	therapeutic	ADJ
cana-2483	25	25	strategies	strategy	NOUN
cana-2483	25	26	based	base	VERB
cana-2483	25	27	on	on	ADP
cana-2483	25	28	individual	individual	ADJ
cana-2483	25	29	patient	patient	ADJ
cana-2483	25	30	profiles	profile	NOUN
cana-2483	25	31	.	.	PUNCT
cana-2483	26	1	in	in	ADP
cana-2483	26	2	addition	addition	NOUN
cana-2483	26	3	,	,	PUNCT
cana-2483	26	4	utilising	utilise	VERB
cana-2483	26	5	clinical	clinical	ADJ
cana-2483	26	6	data	datum	NOUN
cana-2483	26	7	alongside	alongside	ADP
cana-2483	26	8	ecg	ecg	PROPN
cana-2483	26	9	analysis	analysis	NOUN
cana-2483	26	10	enables	enable	VERB
cana-2483	26	11	forming	form	VERB
cana-2483	26	12	a	a	DET
cana-2483	26	13	more	more	ADV
cana-2483	26	14	excellent	excellent	ADJ
cana-2483	26	15	breadth	breadth	NOUN
cana-2483	26	16	risk	risk	NOUN
cana-2483	26	17	assessment	assessment	NOUN
cana-2483	26	18	model	model	NOUN
cana-2483	26	19	.	.	PUNCT
cana-2483	27	1	this	this	PRON
cana-2483	27	2	is	be	AUX
cana-2483	27	3	a	a	DET
cana-2483	27	4	comprehensive	comprehensive	ADJ
cana-2483	27	5	approach	approach	NOUN
cana-2483	27	6	to	to	ADP
cana-2483	27	7	providing	provide	VERB
cana-2483	27	8	the	the	DET
cana-2483	27	9	health	health	NOUN
cana-2483	27	10	care	care	NOUN
cana-2483	27	11	providers	provider	NOUN
cana-2483	27	12	with	with	ADP
cana-2483	27	13	the	the	DET
cana-2483	27	14	means	mean	NOUN
cana-2483	27	15	to	to	PART
cana-2483	27	16	make	make	VERB
cana-2483	27	17	a	a	DET
cana-2483	27	18	clinical	clinical	ADJ
cana-2483	27	19	decision	decision	NOUN
cana-2483	27	20	that	that	PRON
cana-2483	27	21	is	be	AUX
cana-2483	27	22	appropriate	appropriate	ADJ
cana-2483	27	23	based	base	VERB
cana-2483	27	24	on	on	ADP
cana-2483	27	25	the	the	DET
cana-2483	27	26	inherent	inherent	ADJ
cana-2483	27	27	information	information	NOUN
cana-2483	27	28	of	of	ADP
cana-2483	27	29	each	each	DET
cana-2483	27	30	patient	patient	NOUN
cana-2483	27	31	and	and	CCONJ
cana-2483	27	32	the	the	DET
cana-2483	27	33	evolving	evolve	VERB
cana-2483	27	34	nature	nature	NOUN
cana-2483	27	35	of	of	ADP
cana-2483	27	36	the	the	DET
cana-2483	27	37	patient	patient	NOUN
cana-2483	27	38	's	's	PART
cana-2483	27	39	condition	condition	NOUN
cana-2483	27	40	.	.	PUNCT
cana-2483	28	1	in	in	ADP
cana-2483	28	2	addition	addition	NOUN
cana-2483	28	3	,	,	PUNCT
cana-2483	28	4	machine	machine	NOUN
cana-2483	28	5	learning	learn	VERB
cana-2483	28	6	algorithms	algorithm	NOUN
cana-2483	28	7	offer	offer	VERB
cana-2483	28	8	great	great	ADJ
cana-2483	28	9	explosive	explosive	ADJ
cana-2483	28	10	powers	power	NOUN
cana-2483	28	11	and	and	CCONJ
cana-2483	28	12	provide	provide	VERB
cana-2483	28	13	intrinsic	intrinsic	ADJ
cana-2483	28	14	means	mean	NOUN
cana-2483	28	15	for	for	ADP
cana-2483	28	16	adapting	adapt	VERB
cana-2483	28	17	to	to	PART
cana-2483	28	18	incorporate	incorporate	VERB
cana-2483	28	19	new	new	ADJ
cana-2483	28	20	databases	database	NOUN
cana-2483	28	21	and	and	CCONJ
cana-2483	28	22	learn	learn	VERB
cana-2483	28	23	from	from	ADP
cana-2483	28	24	them	they	PRON
cana-2483	28	25	.	.	PUNCT
cana-2483	29	1	it	it	PRON
cana-2483	29	2	will	will	AUX
cana-2483	29	3	lead	lead	VERB
cana-2483	29	4	us	we	PRON
cana-2483	29	5	to	to	ADP
cana-2483	29	6	even	even	ADV
cana-2483	29	7	more	more	ADV
cana-2483	29	8	personalised	personalised	ADJ
cana-2483	29	9	treatment	treatment	NOUN
cana-2483	29	10	plans	plan	NOUN
cana-2483	29	11	based	base	VERB
cana-2483	29	12	on	on	ADP
cana-2483	29	13	innovative	innovative	ADJ
cana-2483	29	14	findings	finding	NOUN
cana-2483	29	15	in	in	ADP
cana-2483	29	16	cardiovascular	cardiovascular	ADJ
cana-2483	29	17	care	care	NOUN
cana-2483	29	18	that	that	PRON
cana-2483	29	19	will	will	AUX
cana-2483	29	20	deliver	deliver	VERB
cana-2483	29	21	the	the	DET
cana-2483	29	22	proper	proper	ADJ
cana-2483	29	23	intervention	intervention	NOUN
cana-2483	29	24	,	,	PUNCT
cana-2483	29	25	ensuring	ensure	VERB
cana-2483	29	26	that	that	SCONJ
cana-2483	29	27	the	the	DET
cana-2483	29	28	treatment	treatment	NOUN
cana-2483	29	29	plans	plan	NOUN
cana-2483	29	30	coordinate	coordinate	VERB
cana-2483	29	31	closely	closely	ADV
cana-2483	29	32	.	.	PUNCT
cana-2483	30	1	in	in	ADP
cana-2483	30	2	short	short	ADJ
cana-2483	30	3	,	,	PUNCT
cana-2483	30	4	this	this	PRON
cana-2483	30	5	represents	represent	VERB
cana-2483	30	6	a	a	DET
cana-2483	30	7	gamechanging	gamechange	VERB
cana-2483	30	8	step	step	NOUN
cana-2483	30	9	toward	toward	ADP
cana-2483	30	10	an	an	DET
cana-2483	30	11	ai	ai	ADV
cana-2483	30	12	-	-	PUNCT
cana-2483	30	13	driven	drive	VERB
cana-2483	30	14	future	future	NOUN
cana-2483	30	15	of	of	ADP
cana-2483	30	16	cardiovascular	cardiovascular	ADJ
cana-2483	30	17	health	health	NOUN
cana-2483	30	18	management	management	NOUN
cana-2483	30	19	and	and	CCONJ
cana-2483	30	20	better	well	ADJ
cana-2483	30	21	care	care	NOUN
cana-2483	30	22	and	and	CCONJ
cana-2483	30	23	outcomes	outcome	NOUN
cana-2483	30	24	for	for	ADP
cana-2483	30	25	aortic	aortic	ADJ
cana-2483	30	26	stenosis	stenosis	NOUN
cana-2483	30	27	patients	patient	NOUN
cana-2483	30	28	and	and	CCONJ
cana-2483	30	29	other	other	ADJ
cana-2483	30	30	disorders	disorder	NOUN
cana-2483	30	31	.	.	PUNCT
cana-2483	31	1	while	while	SCONJ
cana-2483	31	2	echocardiography	echocardiography	NOUN
cana-2483	31	3	is	be	AUX
cana-2483	31	4	by	by	ADP
cana-2483	31	5	far	far	ADV
cana-2483	31	6	the	the	DET
cana-2483	31	7	mainstay	mainstay	NOUN
cana-2483	31	8	of	of	ADP
cana-2483	31	9	diagnosis	diagnosis	NOUN
cana-2483	31	10	of	of	ADP
cana-2483	31	11	aortic	aortic	ADJ
cana-2483	31	12	stenosis	stenosis	NOUN
cana-2483	31	13	(	(	PUNCT
cana-2483	31	14	as	as	ADP
cana-2483	31	15	)	)	PUNCT
cana-2483	31	16	,	,	PUNCT
cana-2483	31	17	it	it	PRON
cana-2483	31	18	is	be	AUX
cana-2483	31	19	essential	essential	ADJ
cana-2483	31	20	to	to	PART
cana-2483	31	21	note	note	VERB
cana-2483	31	22	that	that	SCONJ
cana-2483	31	23	electrocardiograms	electrocardiogram	NOUN
cana-2483	31	24	can	can	AUX
cana-2483	31	25	provide	provide	VERB
cana-2483	31	26	useful	useful	ADJ
cana-2483	31	27	indirect	indirect	ADJ
cana-2483	31	28	markers	marker	NOUN
cana-2483	31	29	that	that	PRON
cana-2483	31	30	can	can	AUX
cana-2483	31	31	be	be	AUX
cana-2483	31	32	useful	useful	ADJ
cana-2483	31	33	in	in	ADP
cana-2483	31	34	the	the	DET
cana-2483	31	35	diagnostic	diagnostic	ADJ
cana-2483	31	36	process	process	NOUN
cana-2483	31	37	.	.	PUNCT
cana-2483	32	1	ecg	ecg	PROPN
cana-2483	32	2	findings	finding	NOUN
cana-2483	32	3	commonly	commonly	ADV
cana-2483	32	4	seen	see	VERB
cana-2483	32	5	in	in	ADP
cana-2483	32	6	aortic	aortic	ADJ
cana-2483	32	7	stenosis	stenosis	NOUN
cana-2483	32	8	include	include	VERB
cana-2483	32	9	lvh	lvh	PROPN
cana-2483	32	10	,	,	PUNCT
cana-2483	32	11	left	leave	VERB
cana-2483	32	12	atrial	atrial	ADJ
cana-2483	32	13	enlargement	enlargement	NOUN
cana-2483	32	14	,	,	PUNCT
cana-2483	32	15	and	and	CCONJ
cana-2483	32	16	various	various	ADJ
cana-2483	32	17	repolarisation	repolarisation	NOUN
cana-2483	32	18	abnormalities	abnormality	NOUN
cana-2483	32	19	,	,	PUNCT
cana-2483	32	20	all	all	PRON
cana-2483	32	21	of	of	ADP
cana-2483	32	22	which	which	PRON
cana-2483	32	23	may	may	AUX
cana-2483	32	24	indicate	indicate	VERB
cana-2483	32	25	increased	increase	VERB
cana-2483	32	26	left	leave	VERB
cana-2483	32	27	ventricular	ventricular	ADJ
cana-2483	32	28	strain	strain	NOUN
cana-2483	32	29	of	of	ADP
cana-2483	32	30	this	this	DET
cana-2483	32	31	disease	disease	NOUN
cana-2483	32	32	.	.	PUNCT
cana-2483	33	1	the	the	DET
cana-2483	33	2	rich	rich	ADJ
cana-2483	33	3	diversity	diversity	NOUN
cana-2483	33	4	of	of	ADP
cana-2483	33	5	ecg	ecg	PROPN
cana-2483	33	6	patterns	pattern	NOUN
cana-2483	33	7	in	in	ADP
cana-2483	33	8	a	a	DET
cana-2483	33	9	large	large	ADJ
cana-2483	33	10	-	-	PUNCT
cana-2483	33	11	scale	scale	NOUN
cana-2483	33	12	database	database	NOUN
cana-2483	33	13	of	of	ADP
cana-2483	33	14	12	12	NUM
cana-2483	33	15	lead	lead	NOUN
cana-2483	33	16	ecg	ecg	PROPN
cana-2483	33	17	recordings	recording	NOUN
cana-2483	33	18	provides	provide	VERB
cana-2483	33	19	a	a	DET
cana-2483	33	20	large	large	ADJ
cana-2483	33	21	and	and	CCONJ
cana-2483	33	22	varied	varied	ADJ
cana-2483	33	23	space	space	NOUN
cana-2483	33	24	for	for	ADP
cana-2483	33	25	training	train	VERB
cana-2483	33	26	a	a	DET
cana-2483	33	27	machine	machine	NOUN
cana-2483	33	28	learning	learn	VERB
cana-2483	33	29	model	model	NOUN
cana-2483	33	30	to	to	PART
cana-2483	33	31	identify	identify	VERB
cana-2483	33	32	subtle	subtle	ADJ
cana-2483	33	33	abnormalities	abnormality	NOUN
cana-2483	33	34	related	relate	VERB
cana-2483	33	35	to	to	ADP
cana-2483	33	36	aortic	aortic	ADJ
cana-2483	33	37	stenosis	stenosis	NOUN
cana-2483	33	38	,	,	PUNCT
cana-2483	33	39	provided	provide	VERB
cana-2483	33	40	that	that	SCONJ
cana-2483	33	41	the	the	DET
cana-2483	33	42	model	model	NOUN
cana-2483	33	43	is	be	AUX
cana-2483	33	44	subjected	subject	VERB
cana-2483	33	45	to	to	ADP
cana-2483	33	46	rigorous	rigorous	ADJ
cana-2483	33	47	and	and	CCONJ
cana-2483	33	48	careful	careful	ADJ
cana-2483	33	49	training	training	NOUN
cana-2483	33	50	protocols	protocol	NOUN
cana-2483	33	51	that	that	PRON
cana-2483	33	52	maximise	maximise	VERB
cana-2483	33	53	its	its	PRON
cana-2483	33	54	performance	performance	NOUN
cana-2483	33	55	.	.	PUNCT
cana-2483	34	1	686	686	NUM
cana-2483	34	2	vol	vol	NOUN
cana-2483	34	3	32	32	NUM
cana-2483	34	4	no	no	NOUN
cana-2483	34	5	.	.	NOUN
cana-2483	34	6	3	3	NUM
cana-2483	34	7	(	(	PUNCT
cana-2483	34	8	2025	2025	NUM
cana-2483	34	9	)	)	PUNCT
cana-2483	34	10	communications	communication	NOUN
cana-2483	34	11	on	on	ADP
cana-2483	34	12	applied	apply	VERB
cana-2483	34	13	nonlinear	nonlinear	ADJ
cana-2483	34	14	analysis	analysis	NOUN
cana-2483	34	15	issn	issn	NOUN
cana-2483	34	16	:	:	PUNCT
cana-2483	34	17	1074	1074	NUM
cana-2483	34	18	-	-	PUNCT
cana-2483	34	19	133x	133x	PROPN
cana-2483	34	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	34	21	2	2	X
cana-2483	34	22	.	.	X
cana-2483	34	23	literature	literature	NOUN
cana-2483	34	24	review	review	NOUN
cana-2483	34	25	in	in	ADP
cana-2483	34	26	a	a	DET
cana-2483	34	27	study	study	NOUN
cana-2483	34	28	of	of	ADP
cana-2483	34	29	an	an	DET
cana-2483	34	30	ai	ai	NOUN
cana-2483	34	31	-	-	PUNCT
cana-2483	34	32	driven	drive	VERB
cana-2483	34	33	electrocardiogram	electrocardiogram	NOUN
cana-2483	34	34	(	(	PUNCT
cana-2483	34	35	ai	ai	NOUN
cana-2483	34	36	-	-	PUNCT
cana-2483	34	37	ecg	ecg	PROPN
cana-2483	34	38	)	)	PUNCT
cana-2483	34	39	for	for	ADP
cana-2483	34	40	early	early	ADJ
cana-2483	34	41	identification	identification	NOUN
cana-2483	34	42	of	of	ADP
cana-2483	34	43	moderate	moderate	ADJ
cana-2483	34	44	to	to	ADP
cana-2483	34	45	severe	severe	ADJ
cana-2483	34	46	aortic	aortic	ADJ
cana-2483	34	47	valve	valve	NOUN
cana-2483	34	48	stenosis	stenosis	NOUN
cana-2483	34	49	(	(	PUNCT
cana-2483	34	50	as	as	SCONJ
cana-2483	34	51	)	)	PUNCT
cana-2483	34	52	to	to	PART
cana-2483	34	53	improve	improve	VERB
cana-2483	34	54	patient	patient	ADJ
cana-2483	34	55	outcomes	outcome	NOUN
cana-2483	34	56	following	follow	VERB
cana-2483	34	57	aortic	aortic	ADJ
cana-2483	34	58	valve	valve	NOUN
cana-2483	34	59	replacement	replacement	NOUN
cana-2483	34	60	procedures	procedure	NOUN
cana-2483	34	61	,	,	PUNCT
cana-2483	34	62	cohen	cohen	NOUN
cana-2483	34	63	-	-	PUNCT
cana-2483	34	64	shelly	shelly	PROPN
cana-2483	34	65	et	et	PROPN
cana-2483	34	66	al	al	PROPN
cana-2483	34	67	.	.	PROPN
cana-2483	35	1	(	(	PUNCT
cana-2483	35	2	2021	2021	NUM
cana-2483	35	3	)	)	PUNCT
cana-2483	35	4	,	,	PUNCT
cana-2483	35	5	an	an	DET
cana-2483	35	6	extensive	extensive	ADJ
cana-2483	35	7	dataset	dataset	NOUN
cana-2483	35	8	of	of	ADP
cana-2483	35	9	258,607	258,607	NUM
cana-2483	35	10	adults	adult	NOUN
cana-2483	35	11	who	who	PRON
cana-2483	35	12	had	have	VERB
cana-2483	35	13	both	both	DET
cana-2483	35	14	echocardiography	echocardiography	NOUN
cana-2483	35	15	and	and	CCONJ
cana-2483	35	16	ecg	ecg	PROPN
cana-2483	35	17	analysis	analysis	NOUN
cana-2483	35	18	was	be	AUX
cana-2483	35	19	investigated	investigate	VERB
cana-2483	35	20	,	,	PUNCT
cana-2483	35	21	and	and	CCONJ
cana-2483	35	22	9,723	9,723	NUM
cana-2483	35	23	were	be	AUX
cana-2483	35	24	successfully	successfully	ADV
cana-2483	35	25	identified	identify	VERB
cana-2483	35	26	with	with	ADP
cana-2483	35	27	moderate	moderate	ADJ
cana-2483	35	28	to	to	PART
cana-2483	35	29	severe	severe	ADJ
cana-2483	35	30	as	as	ADP
cana-2483	35	31	.	.	PUNCT
cana-2483	36	1	we	we	PRON
cana-2483	36	2	designed	design	VERB
cana-2483	36	3	and	and	CCONJ
cana-2483	36	4	validated	validate	VERB
cana-2483	36	5	the	the	DET
cana-2483	36	6	ai	ai	NOUN
cana-2483	36	7	-	-	PUNCT
cana-2483	36	8	ecg	ecg	PROPN
cana-2483	36	9	on	on	ADP
cana-2483	36	10	a	a	DET
cana-2483	36	11	cohort	cohort	NOUN
cana-2483	36	12	of	of	ADP
cana-2483	36	13	25,893	25,893	NUM
cana-2483	36	14	and	and	CCONJ
cana-2483	36	15	then	then	ADV
cana-2483	36	16	tested	test	VERB
cana-2483	36	17	the	the	DET
cana-2483	36	18	ai	ai	NOUN
cana-2483	36	19	-	-	PUNCT
cana-2483	36	20	ecg	ecg	PROPN
cana-2483	36	21	on	on	ADP
cana-2483	36	22	102,926	102,926	NUM
cana-2483	36	23	subjects	subject	NOUN
cana-2483	36	24	from	from	ADP
cana-2483	36	25	a	a	DET
cana-2483	36	26	total	total	NOUN
cana-2483	36	27	of	of	ADP
cana-2483	36	28	129,788	129,788	NUM
cana-2483	36	29	,	,	PUNCT
cana-2483	36	30	with	with	ADP
cana-2483	36	31	an	an	DET
cana-2483	36	32	area	area	NOUN
cana-2483	36	33	under	under	ADP
cana-2483	36	34	the	the	DET
cana-2483	36	35	curve	curve	NOUN
cana-2483	36	36	(	(	PUNCT
cana-2483	36	37	auc	auc	NOUN
cana-2483	36	38	)	)	PUNCT
cana-2483	36	39	of	of	ADP
cana-2483	36	40	0.85	0.85	NUM
cana-2483	36	41	.	.	PUNCT
cana-2483	37	1	however	however	ADV
cana-2483	37	2	,	,	PUNCT
cana-2483	37	3	when	when	SCONJ
cana-2483	37	4	demographic	demographic	ADJ
cana-2483	37	5	variables	variable	NOUN
cana-2483	37	6	like	like	ADP
cana-2483	37	7	age	age	NOUN
cana-2483	37	8	and	and	CCONJ
cana-2483	37	9	gender	gender	NOUN
cana-2483	37	10	were	be	AUX
cana-2483	37	11	added	add	VERB
cana-2483	37	12	to	to	ADP
cana-2483	37	13	the	the	DET
cana-2483	37	14	model	model	NOUN
cana-2483	37	15	,	,	PUNCT
cana-2483	37	16	the	the	DET
cana-2483	37	17	sensitivity	sensitivity	NOUN
cana-2483	37	18	increased	increase	VERB
cana-2483	37	19	to	to	ADP
cana-2483	37	20	78	78	NUM
cana-2483	37	21	%	%	NOUN
cana-2483	37	22	,	,	PUNCT
cana-2483	37	23	specificity	specificity	NOUN
cana-2483	37	24	to	to	ADP
cana-2483	37	25	74	74	NUM
cana-2483	37	26	%	%	NOUN
cana-2483	37	27	,	,	PUNCT
cana-2483	37	28	and	and	CCONJ
cana-2483	37	29	accuracy	accuracy	NOUN
cana-2483	37	30	overall	overall	ADJ
cana-2483	37	31	was	be	AUX
cana-2483	37	32	maintained	maintain	VERB
cana-2483	37	33	at	at	ADP
cana-2483	37	34	74	74	NUM
cana-2483	37	35	%	%	NOUN
cana-2483	37	36	,	,	PUNCT
cana-2483	37	37	with	with	SCONJ
cana-2483	37	38	performance	performance	NOUN
cana-2483	37	39	significantly	significantly	ADV
cana-2483	37	40	improved	improve	VERB
cana-2483	37	41	(	(	PUNCT
cana-2483	37	42	auc	auc	NOUN
cana-2483	37	43	of	of	ADP
cana-2483	37	44	0.90	0.90	NUM
cana-2483	37	45	)	)	PUNCT
cana-2483	37	46	.	.	PUNCT
cana-2483	38	1	in	in	ADP
cana-2483	38	2	addition	addition	NOUN
cana-2483	38	3	,	,	PUNCT
cana-2483	38	4	the	the	DET
cana-2483	38	5	15	15	NUM
cana-2483	38	6	-	-	PUNCT
cana-2483	38	7	year	year	NOUN
cana-2483	38	8	hazard	hazard	NOUN
cana-2483	38	9	ratios	ratio	NOUN
cana-2483	38	10	for	for	ADP
cana-2483	38	11	developing	develop	VERB
cana-2483	38	12	moderate	moderate	ADJ
cana-2483	38	13	or	or	CCONJ
cana-2483	38	14	severe	severe	ADJ
cana-2483	38	15	as	as	SCONJ
cana-2483	38	16	were	be	AUX
cana-2483	38	17	high	high	ADJ
cana-2483	38	18	among	among	ADP
cana-2483	38	19	those	those	PRON
cana-2483	38	20	with	with	ADP
cana-2483	38	21	false	false	ADJ
cana-2483	38	22	positive	positive	ADJ
cana-2483	38	23	results	result	NOUN
cana-2483	38	24	(	(	PUNCT
cana-2483	38	25	hazard	hazard	NOUN
cana-2483	38	26	ratio	ratio	NOUN
cana-2483	38	27	2.18	2.18	NUM
cana-2483	38	28	)	)	PUNCT
cana-2483	38	29	.	.	PUNCT
cana-2483	39	1	collectively	collectively	ADV
cana-2483	39	2	,	,	PUNCT
cana-2483	39	3	these	these	DET
cana-2483	39	4	results	result	NOUN
cana-2483	39	5	suggest	suggest	VERB
cana-2483	39	6	that	that	SCONJ
cana-2483	39	7	ai	ai	PROPN
cana-2483	39	8	-	-	PUNCT
cana-2483	39	9	ecg	ecg	PROPN
cana-2483	39	10	has	have	VERB
cana-2483	39	11	the	the	DET
cana-2483	39	12	potential	potential	NOUN
cana-2483	39	13	to	to	PART
cana-2483	39	14	act	act	VERB
cana-2483	39	15	as	as	ADP
cana-2483	39	16	a	a	DET
cana-2483	39	17	useful	useful	ADJ
cana-2483	39	18	screening	screening	NOUN
cana-2483	39	19	tool	tool	NOUN
cana-2483	39	20	for	for	ADP
cana-2483	39	21	the	the	DET
cana-2483	39	22	identification	identification	NOUN
cana-2483	39	23	of	of	ADP
cana-2483	39	24	patients	patient	NOUN
cana-2483	39	25	at	at	ADP
cana-2483	39	26	risk	risk	NOUN
cana-2483	39	27	for	for	ADP
cana-2483	39	28	as	as	ADV
cana-2483	39	29	and	and	CCONJ
cana-2483	39	30	thus	thus	ADV
cana-2483	39	31	represent	represent	VERB
cana-2483	39	32	a	a	DET
cana-2483	39	33	critical	critical	ADJ
cana-2483	39	34	first	first	ADJ
cana-2483	39	35	step	step	NOUN
cana-2483	39	36	to	to	ADP
cana-2483	39	37	enabling	enable	VERB
cana-2483	39	38	early	early	ADJ
cana-2483	39	39	intervention	intervention	NOUN
cana-2483	39	40	and	and	CCONJ
cana-2483	39	41	management	management	NOUN
cana-2483	39	42	of	of	ADP
cana-2483	39	43	as	as	ADP
cana-2483	39	44	.	.	PUNCT
cana-2483	40	1	vaid	vaid	X
cana-2483	40	2	et	et	PROPN
cana-2483	40	3	al	al	PROPN
cana-2483	40	4	.	.	PROPN
cana-2483	41	1	(	(	PUNCT
cana-2483	41	2	2023	2023	NUM
cana-2483	41	3	)	)	PUNCT
cana-2483	41	4	use	use	VERB
cana-2483	41	5	advanced	advanced	ADJ
cana-2483	41	6	deep	deep	ADJ
cana-2483	41	7	learning	learning	NOUN
cana-2483	41	8	methodologies	methodology	NOUN
cana-2483	41	9	on	on	ADP
cana-2483	41	10	electrocardiograms	electrocardiogram	NOUN
cana-2483	41	11	(	(	PUNCT
cana-2483	41	12	ecgs	ecgs	PROPN
cana-2483	41	13	)	)	PUNCT
cana-2483	41	14	to	to	PART
cana-2483	41	15	help	help	VERB
cana-2483	41	16	diagnose	diagnose	VERB
cana-2483	41	17	left	leave	VERB
cana-2483	41	18	heart	heart	NOUN
cana-2483	41	19	valve	valve	NOUN
cana-2483	41	20	dysfunction	dysfunction	NOUN
cana-2483	41	21	,	,	PUNCT
cana-2483	41	22	specifically	specifically	ADV
cana-2483	41	23	aortic	aortic	ADJ
cana-2483	41	24	stenosis	stenosis	NOUN
cana-2483	41	25	(	(	PUNCT
cana-2483	41	26	as	as	ADP
cana-2483	41	27	)	)	PUNCT
cana-2483	41	28	and	and	CCONJ
cana-2483	41	29	mitral	mitral	ADJ
cana-2483	41	30	regurgitation	regurgitation	NOUN
cana-2483	41	31	(	(	PUNCT
cana-2483	41	32	mr	mr	PROPN
cana-2483	41	33	)	)	PUNCT
cana-2483	41	34	,	,	PUNCT
cana-2483	41	35	in	in	ADP
cana-2483	41	36	this	this	DET
cana-2483	41	37	research	research	NOUN
cana-2483	41	38	.	.	PUNCT
cana-2483	42	1	this	this	PRON
cana-2483	42	2	was	be	AUX
cana-2483	42	3	done	do	VERB
cana-2483	42	4	using	use	VERB
cana-2483	42	5	a	a	DET
cana-2483	42	6	retrospective	retrospective	ADJ
cana-2483	42	7	cohort	cohort	NOUN
cana-2483	42	8	analysis	analysis	NOUN
cana-2483	42	9	of	of	ADP
cana-2483	42	10	617,338	617,338	NUM
cana-2483	42	11	ecgs	ecgs	NOUN
cana-2483	42	12	and	and	CCONJ
cana-2483	42	13	more	more	ADJ
cana-2483	42	14	than	than	ADP
cana-2483	42	15	120,000	120,000	NUM
cana-2483	42	16	echocardiograms	echocardiogram	NOUN
cana-2483	42	17	from	from	ADP
cana-2483	42	18	five	five	NUM
cana-2483	42	19	medical	medical	ADJ
cana-2483	42	20	centres	centre	NOUN
cana-2483	42	21	affiliated	affiliate	VERB
cana-2483	42	22	with	with	ADP
cana-2483	42	23	mount	mount	PROPN
cana-2483	42	24	sinai	sinai	PROPN
cana-2483	42	25	.	.	PUNCT
cana-2483	43	1	to	to	PART
cana-2483	43	2	derive	derive	VERB
cana-2483	43	3	the	the	DET
cana-2483	43	4	valvular	valvular	ADJ
cana-2483	43	5	condition	condition	NOUN
cana-2483	43	6	,	,	PUNCT
cana-2483	43	7	a	a	DET
cana-2483	43	8	natural	natural	ADJ
cana-2483	43	9	language	language	NOUN
cana-2483	43	10	processing	processing	NOUN
cana-2483	43	11	(	(	PUNCT
cana-2483	43	12	nlp	nlp	NOUN
cana-2483	43	13	)	)	PUNCT
cana-2483	43	14	framework	framework	NOUN
cana-2483	43	15	was	be	AUX
cana-2483	43	16	used	use	VERB
cana-2483	43	17	,	,	PUNCT
cana-2483	43	18	and	and	CCONJ
cana-2483	43	19	the	the	DET
cana-2483	43	20	deep	deep	ADJ
cana-2483	43	21	learning	learning	NOUN
cana-2483	43	22	models	model	NOUN
cana-2483	43	23	achieved	achieve	VERB
cana-2483	43	24	an	an	DET
cana-2483	43	25	area	area	NOUN
cana-2483	43	26	under	under	ADP
cana-2483	43	27	the	the	DET
cana-2483	43	28	receiver	receiver	NOUN
cana-2483	43	29	operating	operate	VERB
cana-2483	43	30	characteristic	characteristic	ADJ
cana-2483	43	31	curve	curve	NOUN
cana-2483	43	32	(	(	PUNCT
cana-2483	43	33	auroc	auroc	NOUN
cana-2483	43	34	)	)	PUNCT
cana-2483	43	35	of	of	ADP
cana-2483	43	36	0.88	0.88	NUM
cana-2483	43	37	for	for	ADP
cana-2483	43	38	mr	mr	PROPN
cana-2483	43	39	and	and	CCONJ
cana-2483	43	40	0.89	0.89	NUM
cana-2483	43	41	for	for	ADP
cana-2483	43	42	as	as	ADP
cana-2483	43	43	,	,	PUNCT
cana-2483	43	44	indicating	indicate	VERB
cana-2483	43	45	the	the	DET
cana-2483	43	46	great	great	ADJ
cana-2483	43	47	potential	potential	NOUN
cana-2483	43	48	to	to	PART
cana-2483	43	49	improve	improve	VERB
cana-2483	43	50	early	early	ADJ
cana-2483	43	51	diagnosis	diagnosis	NOUN
cana-2483	43	52	of	of	ADP
cana-2483	43	53	valvular	valvular	ADJ
cana-2483	43	54	disorders	disorder	NOUN
cana-2483	43	55	and	and	CCONJ
cana-2483	43	56	to	to	PART
cana-2483	43	57	ensure	ensure	VERB
cana-2483	43	58	accurate	accurate	ADJ
cana-2483	43	59	detection	detection	NOUN
cana-2483	43	60	to	to	PART
cana-2483	43	61	improve	improve	VERB
cana-2483	43	62	patient	patient	ADJ
cana-2483	43	63	outcomes	outcome	NOUN
cana-2483	43	64	and	and	CCONJ
cana-2483	43	65	reduce	reduce	VERB
cana-2483	43	66	healthcare	healthcare	NOUN
cana-2483	43	67	costs	cost	NOUN
cana-2483	43	68	.	.	PUNCT
cana-2483	44	1	as	as	ADP
cana-2483	44	2	zhang	zhang	PROPN
cana-2483	44	3	et	et	PROPN
cana-2483	44	4	al	al	PROPN
cana-2483	44	5	.	.	PROPN
cana-2483	45	1	(	(	PUNCT
cana-2483	45	2	2024	2024	NUM
cana-2483	45	3	)	)	PUNCT
cana-2483	45	4	describe	describe	VERB
cana-2483	45	5	this	this	DET
cana-2483	45	6	research	research	NOUN
cana-2483	45	7	,	,	PUNCT
cana-2483	45	8	ai	ai	VERB
cana-2483	45	9	is	be	AUX
cana-2483	45	10	here	here	ADV
cana-2483	45	11	to	to	PART
cana-2483	45	12	transform	transform	VERB
cana-2483	45	13	the	the	DET
cana-2483	45	14	clinical	clinical	ADJ
cana-2483	45	15	management	management	NOUN
cana-2483	45	16	of	of	ADP
cana-2483	45	17	aortic	aortic	ADJ
cana-2483	45	18	stenosis	stenosis	NOUN
cana-2483	45	19	(	(	PUNCT
cana-2483	45	20	as	as	ADP
cana-2483	45	21	)	)	PUNCT
cana-2483	45	22	,	,	PUNCT
cana-2483	45	23	a	a	DET
cana-2483	45	24	complex	complex	ADJ
cana-2483	45	25	valvular	valvular	ADJ
cana-2483	45	26	heart	heart	NOUN
cana-2483	45	27	condition	condition	NOUN
cana-2483	45	28	.	.	PUNCT
cana-2483	46	1	socioeconomic	socioeconomic	ADJ
cana-2483	46	2	disparities	disparity	NOUN
cana-2483	46	3	are	be	AUX
cana-2483	46	4	addressed	address	VERB
cana-2483	46	5	,	,	PUNCT
cana-2483	46	6	as	as	SCONJ
cana-2483	46	7	is	be	AUX
cana-2483	46	8	identified	identify	VERB
cana-2483	46	9	and	and	CCONJ
cana-2483	46	10	treated	treat	VERB
cana-2483	46	11	early	early	ADV
cana-2483	46	12	,	,	PUNCT
cana-2483	46	13	and	and	CCONJ
cana-2483	46	14	a	a	DET
cana-2483	46	15	complete	complete	ADJ
cana-2483	46	16	understanding	understanding	NOUN
cana-2483	46	17	of	of	ADP
cana-2483	46	18	the	the	DET
cana-2483	46	19	disorder	disorder	NOUN
cana-2483	46	20	is	be	AUX
cana-2483	46	21	achieved	achieve	VERB
cana-2483	46	22	through	through	ADP
cana-2483	46	23	datadriven	datadriven	ADJ
cana-2483	46	24	risk	risk	NOUN
cana-2483	46	25	assessments	assessment	NOUN
cana-2483	46	26	and	and	CCONJ
cana-2483	46	27	tailored	tailor	VERB
cana-2483	46	28	therapeutic	therapeutic	ADJ
cana-2483	46	29	interventions	intervention	NOUN
cana-2483	46	30	that	that	PRON
cana-2483	46	31	are	be	AUX
cana-2483	46	32	aware	aware	ADJ
cana-2483	46	33	of	of	ADP
cana-2483	46	34	the	the	DET
cana-2483	46	35	role	role	NOUN
cana-2483	46	36	of	of	ADP
cana-2483	46	37	human	human	ADJ
cana-2483	46	38	expertise	expertise	NOUN
cana-2483	46	39	in	in	ADP
cana-2483	46	40	mitigating	mitigate	VERB
cana-2483	46	41	ai	ai	VERB
cana-2483	46	42	’s	’s	PART
cana-2483	46	43	shortcomings	shortcoming	NOUN
cana-2483	46	44	in	in	ADP
cana-2483	46	45	healthcare	healthcare	NOUN
cana-2483	46	46	decision	decision	NOUN
cana-2483	46	47	-	-	PUNCT
cana-2483	46	48	making	making	NOUN
cana-2483	46	49	.	.	PUNCT
cana-2483	47	1	in	in	ADP
cana-2483	47	2	this	this	DET
cana-2483	47	3	investigation	investigation	NOUN
cana-2483	47	4	,	,	PUNCT
cana-2483	47	5	hata	hata	NOUN
cana-2483	47	6	et	et	PROPN
cana-2483	47	7	al	al	PROPN
cana-2483	47	8	.	.	PROPN
cana-2483	48	1	(	(	PUNCT
cana-2483	48	2	2020	2020	NUM
cana-2483	48	3	)	)	PUNCT
cana-2483	48	4	present	present	VERB
cana-2483	48	5	a	a	DET
cana-2483	48	6	novel	novel	ADJ
cana-2483	48	7	deep	deep	ADJ
cana-2483	48	8	learning	learning	NOUN
cana-2483	48	9	-	-	PUNCT
cana-2483	48	10	based	base	VERB
cana-2483	48	11	approach	approach	NOUN
cana-2483	48	12	to	to	ADP
cana-2483	48	13	the	the	DET
cana-2483	48	14	automated	automate	VERB
cana-2483	48	15	categorisation	categorisation	NOUN
cana-2483	48	16	of	of	ADP
cana-2483	48	17	aortic	aortic	ADJ
cana-2483	48	18	stenosis	stenosis	NOUN
cana-2483	48	19	(	(	PUNCT
cana-2483	48	20	as	as	ADP
cana-2483	48	21	)	)	PUNCT
cana-2483	48	22	using	use	VERB
cana-2483	48	23	electrocardiogram	electrocardiogram	NOUN
cana-2483	48	24	(	(	PUNCT
cana-2483	48	25	ecg	ecg	PROPN
cana-2483	48	26	)	)	PUNCT
cana-2483	48	27	images	image	NOUN
cana-2483	48	28	.	.	PUNCT
cana-2483	49	1	on	on	ADP
cana-2483	49	2	both	both	DET
cana-2483	49	3	12	12	NUM
cana-2483	49	4	lead	lead	NOUN
cana-2483	49	5	and	and	CCONJ
cana-2483	49	6	four	four	NUM
cana-2483	49	7	lead	lead	NOUN
cana-2483	49	8	ecgs	ecgs	NOUN
cana-2483	49	9	,	,	PUNCT
cana-2483	49	10	the	the	DET
cana-2483	49	11	study	study	NOUN
cana-2483	49	12	uses	uses	AUX
cana-2483	49	13	finely	finely	ADV
cana-2483	49	14	tuned	tune	VERB
cana-2483	49	15	convolutional	convolutional	ADJ
cana-2483	49	16	neural	neural	ADJ
cana-2483	49	17	networks	network	NOUN
cana-2483	49	18	(	(	PUNCT
cana-2483	49	19	cnns	cnns	PROPN
cana-2483	49	20	)	)	PUNCT
cana-2483	49	21	to	to	PART
cana-2483	49	22	highlight	highlight	VERB
cana-2483	49	23	key	key	ADJ
cana-2483	49	24	st	st	PROPN
cana-2483	49	25	-	-	PUNCT
cana-2483	49	26	t	t	PROPN
cana-2483	49	27	characteristics	characteristic	NOUN
cana-2483	49	28	identified	identify	VERB
cana-2483	49	29	using	use	VERB
cana-2483	49	30	grad	grad	NOUN
cana-2483	49	31	-	-	PUNCT
cana-2483	49	32	cam	cam	NOUN
cana-2483	49	33	.	.	PUNCT
cana-2483	50	1	it	it	PRON
cana-2483	50	2	shows	show	VERB
cana-2483	50	3	diagnostic	diagnostic	ADJ
cana-2483	50	4	accuracy	accuracy	NOUN
cana-2483	50	5	that	that	PRON
cana-2483	50	6	matches	match	VERB
cana-2483	50	7	expert	expert	ADJ
cana-2483	50	8	assessment	assessment	NOUN
cana-2483	50	9	,	,	PUNCT
cana-2483	50	10	suggesting	suggest	VERB
cana-2483	50	11	that	that	SCONJ
cana-2483	50	12	ecg	ecg	PROPN
cana-2483	50	13	may	may	AUX
cana-2483	50	14	be	be	AUX
cana-2483	50	15	a	a	DET
cana-2483	50	16	valuable	valuable	ADJ
cana-2483	50	17	tool	tool	NOUN
cana-2483	50	18	for	for	ADP
cana-2483	50	19	as	as	ADP
cana-2483	50	20	identification	identification	NOUN
cana-2483	50	21	,	,	PUNCT
cana-2483	50	22	particularly	particularly	ADV
cana-2483	50	23	in	in	ADP
cana-2483	50	24	settings	setting	NOUN
cana-2483	50	25	where	where	SCONJ
cana-2483	50	26	access	access	NOUN
cana-2483	50	27	to	to	ADP
cana-2483	50	28	echocardiography	echocardiography	NOUN
cana-2483	50	29	is	be	AUX
cana-2483	50	30	limited	limited	ADJ
cana-2483	50	31	.	.	PUNCT
cana-2483	51	1	the	the	DET
cana-2483	51	2	authors	author	NOUN
cana-2483	51	3	of	of	ADP
cana-2483	51	4	a	a	DET
cana-2483	51	5	scholarly	scholarly	ADJ
cana-2483	51	6	article	article	NOUN
cana-2483	51	7	(	(	PUNCT
cana-2483	51	8	kwon	kwon	PROPN
cana-2483	51	9	et	et	PROPN
cana-2483	51	10	al	al	PROPN
cana-2483	51	11	.	.	PROPN
cana-2483	51	12	,	,	PUNCT
cana-2483	51	13	2020	2020	NUM
cana-2483	51	14	)	)	PUNCT
cana-2483	51	15	present	present	VERB
cana-2483	51	16	a	a	DET
cana-2483	51	17	deep	deep	ADJ
cana-2483	51	18	learning	learning	NOUN
cana-2483	51	19	algorithm	algorithm	NOUN
cana-2483	51	20	for	for	ADP
cana-2483	51	21	aortic	aortic	ADJ
cana-2483	51	22	stenosis	stenosis	NOUN
cana-2483	51	23	(	(	PUNCT
cana-2483	51	24	as	as	ADP
cana-2483	51	25	)	)	PUNCT
cana-2483	51	26	identification	identification	NOUN
cana-2483	51	27	using	use	VERB
cana-2483	51	28	electrocardiography	electrocardiography	NOUN
cana-2483	51	29	(	(	PUNCT
cana-2483	51	30	ecg	ecg	PROPN
cana-2483	51	31	)	)	PUNCT
cana-2483	51	32	,	,	PUNCT
cana-2483	51	33	which	which	PRON
cana-2483	51	34	is	be	AUX
cana-2483	51	35	a	a	DET
cana-2483	51	36	non	non	ADJ
cana-2483	51	37	-	-	ADJ
cana-2483	51	38	invasive	invasive	ADJ
cana-2483	51	39	diagnostic	diagnostic	ADJ
cana-2483	51	40	technique	technique	NOUN
cana-2483	51	41	.	.	PUNCT
cana-2483	52	1	the	the	DET
cana-2483	52	2	proposed	propose	VERB
cana-2483	52	3	methodology	methodology	NOUN
cana-2483	52	4	addresses	address	VERB
cana-2483	52	5	the	the	DET
cana-2483	52	6	diagnostic	diagnostic	ADJ
cana-2483	52	7	challenge	challenge	NOUN
cana-2483	52	8	of	of	ADP
cana-2483	52	9	a	a	DET
cana-2483	52	10	prolonged	prolonged	ADJ
cana-2483	52	11	asymptomatic	asymptomatic	ADJ
cana-2483	52	12	period	period	NOUN
cana-2483	52	13	of	of	ADP
cana-2483	52	14	as	as	ADP
cana-2483	52	15	,	,	PUNCT
cana-2483	52	16	facilitating	facilitate	VERB
cana-2483	52	17	earlier	early	ADJ
cana-2483	52	18	detection	detection	NOUN
cana-2483	52	19	and	and	CCONJ
cana-2483	52	20	improving	improve	VERB
cana-2483	52	21	patient	patient	ADJ
cana-2483	52	22	outcomes	outcome	NOUN
cana-2483	52	23	through	through	ADP
cana-2483	52	24	timely	timely	ADJ
cana-2483	52	25	medical	medical	ADJ
cana-2483	52	26	interventions	intervention	NOUN
cana-2483	52	27	.	.	PUNCT
cana-2483	53	1	in	in	ADP
cana-2483	53	2	the	the	DET
cana-2483	53	3	study	study	NOUN
cana-2483	53	4	by	by	ADP
cana-2483	53	5	ahmadi	ahmadi	PROPN
cana-2483	53	6	et	et	PROPN
cana-2483	53	7	al	al	PROPN
cana-2483	53	8	.	.	PROPN
cana-2483	54	1	(	(	PUNCT
cana-2483	54	2	2023	2023	NUM
cana-2483	54	3	)	)	PUNCT
cana-2483	54	4	,	,	PUNCT
cana-2483	54	5	a	a	DET
cana-2483	54	6	new	new	ADJ
cana-2483	54	7	deep	deep	ADV
cana-2483	54	8	-	-	PUNCT
cana-2483	54	9	learning	learn	VERB
cana-2483	54	10	architecture	architecture	NOUN
cana-2483	54	11	is	be	AUX
cana-2483	54	12	presented	present	VERB
cana-2483	54	13	to	to	PART
cana-2483	54	14	classify	classify	VERB
cana-2483	54	15	the	the	DET
cana-2483	54	16	severity	severity	NOUN
cana-2483	54	17	of	of	ADP
cana-2483	54	18	aortic	aortic	ADJ
cana-2483	54	19	stenosis	stenosis	NOUN
cana-2483	54	20	from	from	ADP
cana-2483	54	21	two	two	NUM
cana-2483	54	22	-	-	PUNCT
cana-2483	54	23	dimensional	dimensional	ADJ
cana-2483	54	24	echocardiographic	echocardiographic	ADJ
cana-2483	54	25	data	datum	NOUN
cana-2483	54	26	without	without	ADP
cana-2483	54	27	needing	need	VERB
cana-2483	54	28	doppler	doppler	NOUN
cana-2483	54	29	measurements	measurement	NOUN
cana-2483	54	30	,	,	PUNCT
cana-2483	54	31	which	which	PRON
cana-2483	54	32	cardiologists	cardiologist	VERB
cana-2483	54	33	commonly	commonly	ADV
cana-2483	54	34	use	use	VERB
cana-2483	54	35	.	.	PUNCT
cana-2483	55	1	the	the	DET
cana-2483	55	2	model	model	NOUN
cana-2483	55	3	uses	use	VERB
cana-2483	55	4	a	a	DET
cana-2483	55	5	transformer	transformer	NOUN
cana-2483	55	6	-	-	PUNCT
cana-2483	55	7	based	base	VERB
cana-2483	55	8	687	687	NUM
cana-2483	55	9	vol	vol	NOUN
cana-2483	55	10	32	32	NUM
cana-2483	55	11	no	no	NOUN
cana-2483	55	12	.	.	NOUN
cana-2483	55	13	3	3	NUM
cana-2483	55	14	(	(	PUNCT
cana-2483	55	15	2025	2025	NUM
cana-2483	55	16	)	)	PUNCT
cana-2483	55	17	communications	communication	NOUN
cana-2483	55	18	on	on	ADP
cana-2483	55	19	applied	apply	VERB
cana-2483	55	20	nonlinear	nonlinear	ADJ
cana-2483	55	21	analysis	analysis	NOUN
cana-2483	55	22	issn	issn	NOUN
cana-2483	55	23	:	:	PUNCT
cana-2483	55	24	1074	1074	NUM
cana-2483	55	25	-	-	PUNCT
cana-2483	55	26	133x	133x	PROPN
cana-2483	55	27	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	55	28	spatiotemporal	spatiotemporal	ADJ
cana-2483	55	29	framework	framework	NOUN
cana-2483	55	30	to	to	PART
cana-2483	55	31	analyse	analyse	VERB
cana-2483	55	32	echocardiography	echocardiography	NOUN
cana-2483	55	33	cine	cine	NOUN
cana-2483	55	34	sequences	sequence	NOUN
cana-2483	55	35	independently	independently	ADV
cana-2483	55	36	and	and	CCONJ
cana-2483	55	37	achieves	achieve	VERB
cana-2483	55	38	95.2	95.2	NUM
cana-2483	55	39	%	%	NOUN
cana-2483	55	40	and	and	CCONJ
cana-2483	55	41	91.5	91.5	NUM
cana-2483	55	42	%	%	NOUN
cana-2483	55	43	in	in	ADP
cana-2483	55	44	aortic	aortic	ADJ
cana-2483	55	45	stenosis	stenosis	NOUN
cana-2483	55	46	detection	detection	NOUN
cana-2483	55	47	and	and	CCONJ
cana-2483	55	48	78.1	78.1	NUM
cana-2483	55	49	%	%	NOUN
cana-2483	55	50	and	and	CCONJ
cana-2483	55	51	83.8	83.8	NUM
cana-2483	55	52	%	%	NOUN
cana-2483	55	53	in	in	ADP
cana-2483	55	54	severity	severity	NOUN
cana-2483	55	55	classification	classification	NOUN
cana-2483	55	56	on	on	ADP
cana-2483	55	57	private	private	ADJ
cana-2483	55	58	and	and	CCONJ
cana-2483	55	59	public	public	ADJ
cana-2483	55	60	datasets	dataset	NOUN
cana-2483	55	61	,	,	PUNCT
cana-2483	55	62	respectively	respectively	ADV
cana-2483	55	63	while	while	SCONJ
cana-2483	55	64	overcoming	overcome	VERB
cana-2483	55	65	the	the	DET
cana-2483	55	66	challenges	challenge	NOUN
cana-2483	55	67	of	of	ADP
cana-2483	55	68	low	low	ADJ
cana-2483	55	69	signal	signal	NOUN
cana-2483	55	70	to	to	PART
cana-2483	55	71	noise	noise	NOUN
cana-2483	55	72	ratios	ratio	NOUN
cana-2483	55	73	.	.	PUNCT
cana-2483	56	1	huang	huang	PROPN
cana-2483	56	2	et	et	PROPN
cana-2483	56	3	al	al	PROPN
cana-2483	56	4	.	.	PROPN
cana-2483	57	1	(	(	PUNCT
cana-2483	57	2	2024	2024	NUM
cana-2483	57	3	)	)	PUNCT
cana-2483	57	4	introduce	introduce	NOUN
cana-2483	57	5	in	in	ADP
cana-2483	57	6	this	this	DET
cana-2483	57	7	study	study	NOUN
cana-2483	57	8	an	an	DET
cana-2483	57	9	innovative	innovative	ADJ
cana-2483	57	10	deep	deep	ADJ
cana-2483	57	11	learning	learning	NOUN
cana-2483	57	12	architecture	architecture	NOUN
cana-2483	57	13	,	,	PUNCT
cana-2483	57	14	semi	semi	ADJ
cana-2483	57	15	-	-	ADJ
cana-2483	57	16	supervised	supervised	ADJ
cana-2483	57	17	multimodal	multimodal	ADJ
cana-2483	57	18	multiple	multiple	ADJ
cana-2483	57	19	-	-	PUNCT
cana-2483	57	20	instance	instance	NOUN
cana-2483	57	21	learning	learning	NOUN
cana-2483	57	22	(	(	PUNCT
cana-2483	57	23	smmil	smmil	NOUN
cana-2483	57	24	)	)	PUNCT
cana-2483	57	25	,	,	PUNCT
cana-2483	57	26	to	to	PART
cana-2483	57	27	improve	improve	VERB
cana-2483	57	28	the	the	DET
cana-2483	57	29	analysis	analysis	NOUN
cana-2483	57	30	of	of	ADP
cana-2483	57	31	echocardiograms	echocardiogram	NOUN
cana-2483	57	32	for	for	ADP
cana-2483	57	33	the	the	DET
cana-2483	57	34	diagnosis	diagnosis	NOUN
cana-2483	57	35	of	of	ADP
cana-2483	57	36	aortic	aortic	ADJ
cana-2483	57	37	stenosis	stenosis	NOUN
cana-2483	57	38	(	(	PUNCT
cana-2483	57	39	as	as	ADP
cana-2483	57	40	)	)	PUNCT
cana-2483	57	41	.	.	PUNCT
cana-2483	58	1	integrating	integrate	VERB
cana-2483	58	2	spectral	spectral	ADJ
cana-2483	58	3	dopplers	doppler	NOUN
cana-2483	58	4	and	and	CCONJ
cana-2483	58	5	2d	2d	NOUN
cana-2483	58	6	cine	cine	NOUN
cana-2483	58	7	loops	loop	NOUN
cana-2483	58	8	with	with	ADP
cana-2483	58	9	labelled	label	VERB
cana-2483	58	10	and	and	CCONJ
cana-2483	58	11	unlabeled	unlabeled	ADJ
cana-2483	58	12	data	datum	NOUN
cana-2483	58	13	significantly	significantly	ADV
cana-2483	58	14	improves	improve	VERB
cana-2483	58	15	classification	classification	NOUN
cana-2483	58	16	accuracy	accuracy	NOUN
cana-2483	58	17	for	for	ADP
cana-2483	58	18	as	as	ADP
cana-2483	58	19	severity	severity	NOUN
cana-2483	58	20	assessment	assessment	NOUN
cana-2483	58	21	compared	compare	VERB
cana-2483	58	22	to	to	ADP
cana-2483	58	23	conventional	conventional	ADJ
cana-2483	58	24	methods	method	NOUN
cana-2483	58	25	.	.	PUNCT
cana-2483	59	1	3	3	X
cana-2483	59	2	.	.	NUM
cana-2483	59	3	proposed	propose	VERB
cana-2483	59	4	methodology	methodology	NOUN
cana-2483	59	5	the	the	DET
cana-2483	59	6	proposed	propose	VERB
cana-2483	59	7	hybrid	hybrid	ADJ
cana-2483	59	8	cnn	cnn	PROPN
cana-2483	59	9	-	-	PUNCT
cana-2483	59	10	rnn	rnn	PROPN
cana-2483	59	11	-	-	PUNCT
cana-2483	59	12	lstm	lstm	ADJ
cana-2483	59	13	model	model	NOUN
cana-2483	59	14	for	for	ADP
cana-2483	59	15	predictive	predictive	ADJ
cana-2483	59	16	diagnosis	diagnosis	NOUN
cana-2483	59	17	of	of	ADP
cana-2483	59	18	aortic	aortic	ADJ
cana-2483	59	19	stenosis	stenosis	NOUN
cana-2483	59	20	in	in	ADP
cana-2483	59	21	a	a	DET
cana-2483	59	22	largescale	largescale	NOUN
cana-2483	59	23	12	12	NUM
cana-2483	59	24	-	-	PUNCT
cana-2483	59	25	lead	lead	NOUN
cana-2483	59	26	ecg	ecg	PROPN
cana-2483	59	27	dataset	dataset	NOUN
cana-2483	59	28	is	be	AUX
cana-2483	59	29	explained	explain	VERB
cana-2483	59	30	in	in	ADP
cana-2483	59	31	this	this	DET
cana-2483	59	32	section	section	NOUN
cana-2483	59	33	.	.	PUNCT
cana-2483	60	1	in	in	ADP
cana-2483	60	2	this	this	DET
cana-2483	60	3	section	section	NOUN
cana-2483	60	4	the	the	DET
cana-2483	60	5	authors	author	NOUN
cana-2483	60	6	meticulously	meticulously	ADV
cana-2483	60	7	explained	explain	VERB
cana-2483	60	8	the	the	DET
cana-2483	60	9	various	various	ADJ
cana-2483	60	10	data	datum	NOUN
cana-2483	60	11	preprocessing	preprocesse	VERB
cana-2483	60	12	techniques	technique	NOUN
cana-2483	60	13	,	,	PUNCT
cana-2483	60	14	feature	feature	NOUN
cana-2483	60	15	extraction	extraction	NOUN
cana-2483	60	16	mechanisms	mechanism	NOUN
cana-2483	60	17	and	and	CCONJ
cana-2483	60	18	more	more	ADV
cana-2483	60	19	specifically	specifically	ADV
cana-2483	60	20	to	to	PART
cana-2483	60	21	feature	feature	VERB
cana-2483	60	22	extraction	extraction	NOUN
cana-2483	60	23	(	(	PUNCT
cana-2483	60	24	lvh	lvh	PROPN
cana-2483	60	25	)	)	PUNCT
cana-2483	60	26	related	relate	VERB
cana-2483	60	27	to	to	ADP
cana-2483	60	28	aortic	aortic	ADJ
cana-2483	60	29	stenosis	stenosis	NOUN
cana-2483	60	30	diagnosis	diagnosis	NOUN
cana-2483	60	31	.	.	PUNCT
cana-2483	61	1	also	also	ADV
cana-2483	61	2	,	,	PUNCT
cana-2483	61	3	the	the	DET
cana-2483	61	4	authors	author	NOUN
cana-2483	61	5	implemented	implement	VERB
cana-2483	61	6	various	various	ADJ
cana-2483	61	7	machine	machine	NOUN
cana-2483	61	8	learning	learning	NOUN
cana-2483	61	9	and	and	CCONJ
cana-2483	61	10	deep	deep	ADJ
cana-2483	61	11	learning	learning	NOUN
cana-2483	61	12	models	model	NOUN
cana-2483	61	13	to	to	PART
cana-2483	61	14	compare	compare	VERB
cana-2483	61	15	the	the	DET
cana-2483	61	16	accuracy	accuracy	NOUN
cana-2483	61	17	of	of	ADP
cana-2483	61	18	the	the	DET
cana-2483	61	19	proposed	propose	VERB
cana-2483	61	20	methodology	methodology	NOUN
cana-2483	61	21	.	.	PUNCT
cana-2483	62	1	3.1	3.1	NUM
cana-2483	62	2	dataset	dataset	NOUN
cana-2483	62	3	we	we	PRON
cana-2483	62	4	created	create	VERB
cana-2483	62	5	a	a	DET
cana-2483	62	6	subset	subset	NOUN
cana-2483	62	7	from	from	ADP
cana-2483	62	8	a	a	DET
cana-2483	62	9	dataset	dataset	NOUN
cana-2483	62	10	of	of	ADP
cana-2483	62	11	45,152	45,152	NUM
cana-2483	62	12	patient	patient	NOUN
cana-2483	62	13	ecgs	ecgs	NOUN
cana-2483	62	14	available	available	ADJ
cana-2483	62	15	in	in	ADP
cana-2483	62	16	the	the	DET
cana-2483	62	17	physionet	physionet	NOUN
cana-2483	62	18	platform	platform	NOUN
cana-2483	62	19	(	(	PUNCT
cana-2483	62	20	zheng	zheng	X
cana-2483	62	21	et	et	PROPN
cana-2483	62	22	al	al	PROPN
cana-2483	62	23	.	.	PROPN
cana-2483	62	24	(	(	PUNCT
cana-2483	62	25	2020	2020	NUM
cana-2483	62	26	)	)	PUNCT
cana-2483	62	27	)	)	PUNCT
cana-2483	62	28	and	and	CCONJ
cana-2483	62	29	investigated	investigate	VERB
cana-2483	62	30	the	the	DET
cana-2483	62	31	use	use	NOUN
cana-2483	62	32	of	of	ADP
cana-2483	62	33	this	this	DET
cana-2483	62	34	data	datum	NOUN
cana-2483	62	35	.	.	PUNCT
cana-2483	63	1	the	the	DET
cana-2483	63	2	amount	amount	NOUN
cana-2483	63	3	of	of	ADP
cana-2483	63	4	delivered	deliver	VERB
cana-2483	63	5	voltage	voltage	NOUN
cana-2483	63	6	per	per	ADP
cana-2483	63	7	analog	analog	NOUN
cana-2483	63	8	-	-	PUNCT
cana-2483	63	9	todigital	todigital	NOUN
cana-2483	63	10	(	(	PUNCT
cana-2483	63	11	a	a	NOUN
cana-2483	63	12	/	/	SYM
cana-2483	63	13	d	d	NOUN
cana-2483	63	14	)	)	PUNCT
cana-2483	63	15	bit	bit	NOUN
cana-2483	63	16	was	be	AUX
cana-2483	63	17	quantified	quantify	VERB
cana-2483	63	18	at	at	ADP
cana-2483	63	19	4.88	4.88	NUM
cana-2483	63	20	,	,	PUNCT
cana-2483	63	21	and	and	CCONJ
cana-2483	63	22	the	the	DET
cana-2483	63	23	resolution	resolution	NOUN
cana-2483	63	24	of	of	ADP
cana-2483	63	25	the	the	DET
cana-2483	63	26	a	a	PROPN
cana-2483	63	27	/	/	SYM
cana-2483	63	28	d	d	PROPN
cana-2483	63	29	converter	converter	NOUN
cana-2483	63	30	was	be	AUX
cana-2483	63	31	32	32	NUM
cana-2483	63	32	bits	bit	NOUN
cana-2483	63	33	.	.	PUNCT
cana-2483	64	1	amplitude	amplitude	NOUN
cana-2483	64	2	was	be	AUX
cana-2483	64	3	measured	measure	VERB
cana-2483	64	4	in	in	ADP
cana-2483	64	5	microvolts	microvolt	NOUN
cana-2483	64	6	for	for	ADP
cana-2483	64	7	this	this	DET
cana-2483	64	8	unit	unit	NOUN
cana-2483	64	9	.	.	PUNCT
cana-2483	65	1	the	the	DET
cana-2483	65	2	maximum	maximum	ADJ
cana-2483	65	3	threshold	threshold	NOUN
cana-2483	65	4	was	be	AUX
cana-2483	65	5	set	set	VERB
cana-2483	65	6	at	at	ADP
cana-2483	65	7	32,767	32,767	NUM
cana-2483	65	8	and	and	CCONJ
cana-2483	65	9	the	the	DET
cana-2483	65	10	minimum	minimum	ADJ
cana-2483	65	11	threshold	threshold	NOUN
cana-2483	65	12	at	at	ADP
cana-2483	65	13	−32,768	−32,768	PROPN
cana-2483	65	14	.	.	PUNCT
cana-2483	66	1	ecg	ecg	PROPN
cana-2483	66	2	recordings	recording	NOUN
cana-2483	66	3	were	be	AUX
cana-2483	66	4	converted	convert	VERB
cana-2483	66	5	to	to	ADP
cana-2483	66	6	wfdb	wfdb	PROPN
cana-2483	66	7	format	format	NOUN
cana-2483	66	8	.	.	PUNCT
cana-2483	67	1	in	in	ADP
cana-2483	67	2	this	this	DET
cana-2483	67	3	wfdb	wfdb	NOUN
cana-2483	67	4	format	format	NOUN
cana-2483	67	5	,	,	PUNCT
cana-2483	67	6	each	each	DET
cana-2483	67	7	ecg	ecg	PROPN
cana-2483	67	8	is	be	AUX
cana-2483	67	9	denoted	denote	VERB
cana-2483	67	10	by	by	ADP
cana-2483	67	11	a	a	DET
cana-2483	67	12	pair	pair	NOUN
cana-2483	67	13	of	of	ADP
cana-2483	67	14	files	file	NOUN
cana-2483	67	15	:	:	PUNCT
cana-2483	67	16	binary	binary	ADJ
cana-2483	67	17	raw	raw	ADJ
cana-2483	67	18	data	datum	NOUN
cana-2483	67	19	is	be	AUX
cana-2483	67	20	stored	store	VERB
cana-2483	67	21	in	in	ADP
cana-2483	67	22	a	a	DET
cana-2483	67	23	mat	mat	NOUN
cana-2483	67	24	file	file	NOUN
cana-2483	67	25	,	,	PUNCT
cana-2483	67	26	and	and	CCONJ
cana-2483	67	27	a	a	DET
cana-2483	67	28	header	header	NOUN
cana-2483	67	29	is	be	AUX
cana-2483	67	30	sent	send	VERB
cana-2483	67	31	to	to	ADP
cana-2483	67	32	you	you	PRON
cana-2483	67	33	(	(	PUNCT
cana-2483	67	34	also	also	ADV
cana-2483	67	35	a	a	DET
cana-2483	67	36	mat	mat	NOUN
cana-2483	67	37	file	file	NOUN
cana-2483	67	38	)	)	PUNCT
cana-2483	67	39	of	of	ADP
cana-2483	67	40	the	the	DET
cana-2483	67	41	same	same	ADJ
cana-2483	67	42	name	name	NOUN
cana-2483	67	43	but	but	CCONJ
cana-2483	67	44	with	with	ADP
cana-2483	67	45	the	the	DET
cana-2483	67	46	extension	extension	NOUN
cana-2483	67	47	.	.	PUNCT
cana-2483	68	1	the	the	DET
cana-2483	68	2	annotation	annotation	NOUN
cana-2483	68	3	details	detail	NOUN
cana-2483	68	4	contained	contain	VERB
cana-2483	68	5	in	in	ADP
cana-2483	68	6	the	the	DET
cana-2483	68	7	header	header	NOUN
cana-2483	68	8	file	file	NOUN
cana-2483	68	9	were	be	AUX
cana-2483	68	10	lead	lead	ADJ
cana-2483	68	11	configuration	configuration	NOUN
cana-2483	68	12	,	,	PUNCT
cana-2483	68	13	patient	patient	ADJ
cana-2483	68	14	age	age	NOUN
cana-2483	68	15	,	,	PUNCT
cana-2483	68	16	gender	gender	NOUN
cana-2483	68	17	and	and	CCONJ
cana-2483	68	18	the	the	DET
cana-2483	68	19	snomed	snome	VERB
cana-2483	68	20	ct	ct	PROPN
cana-2483	68	21	code	code	NOUN
cana-2483	68	22	.	.	PUNCT
cana-2483	69	1	the	the	DET
cana-2483	69	2	original	original	ADJ
cana-2483	69	3	letter	letter	NOUN
cana-2483	69	4	designations	designation	NOUN
cana-2483	69	5	of	of	ADP
cana-2483	69	6	the	the	DET
cana-2483	69	7	file	file	NOUN
cana-2483	69	8	conditionnames_snomed-ct.xlsx	conditionnames_snomed-ct.xlsx	PROPN
cana-2483	69	9	corresponded	correspond	VERB
cana-2483	69	10	with	with	ADP
cana-2483	69	11	the	the	DET
cana-2483	69	12	snomed	snome	VERB
cana-2483	69	13	ct	ct	PROPN
cana-2483	69	14	code	code	NOUN
cana-2483	69	15	.	.	PUNCT
cana-2483	70	1	a	a	DET
cana-2483	70	2	comparative	comparative	ADJ
cana-2483	70	3	analysis	analysis	NOUN
cana-2483	70	4	of	of	ADP
cana-2483	70	5	other	other	ADJ
cana-2483	70	6	datasets	dataset	NOUN
cana-2483	70	7	with	with	ADP
cana-2483	70	8	the	the	DET
cana-2483	70	9	chosen	choose	VERB
cana-2483	70	10	is	be	AUX
cana-2483	70	11	shown	show	VERB
cana-2483	70	12	in	in	ADP
cana-2483	70	13	table	table	NOUN
cana-2483	70	14	1	1	NUM
cana-2483	70	15	.	.	PUNCT
cana-2483	70	16	table	table	NOUN
cana-2483	70	17	1	1	NUM
cana-2483	70	18	comparison	comparison	NOUN
cana-2483	70	19	of	of	ADP
cana-2483	70	20	datasets	dataset	NOUN
cana-2483	70	21	name	name	NOUN
cana-2483	70	22	subjects	subject	NOUN
cana-2483	70	23	records	record	NOUN
cana-2483	70	24	(	(	PUNCT
cana-2483	70	25	length	length	NOUN
cana-2483	70	26	)	)	PUNCT
cana-2483	70	27	sampling	sample	VERB
cana-2483	70	28	rate	rate	NOUN
cana-2483	70	29	age	age	NOUN
cana-2483	70	30	male	male	NOUN
cana-2483	70	31	,	,	PUNCT
cana-2483	70	32	n(%	n(%	PROPN
cana-2483	70	33	)	)	PUNCT
cana-2483	70	34	lead	lead	NOUN
cana-2483	70	35	,	,	PUNCT
cana-2483	70	36	n	n	PRON
cana-2483	70	37	mit	mit	VERB
cana-2483	70	38	-	-	PUNCT
cana-2483	70	39	bih	bih	NOUN
cana-2483	70	40	dataset	dataset	VERB
cana-2483	70	41	47	47	NUM
cana-2483	70	42	48	48	NUM
cana-2483	70	43	(	(	PUNCT
cana-2483	70	44	30	30	NUM
cana-2483	70	45	 	 	SPACE
cana-2483	70	46	min	min	NOUN
cana-2483	70	47	)	)	PUNCT
cana-2483	70	48	360	360	NUM
cana-2483	70	49	 	 	SPACE
cana-2483	70	50	hz	hz	VERB
cana-2483	70	51	23–89	23–89	NUM
cana-2483	70	52	25	25	NUM
cana-2483	70	53	(	(	PUNCT
cana-2483	70	54	52.08	52.08	NUM
cana-2483	70	55	)	)	PUNCT
cana-2483	70	56	2	2	NUM
cana-2483	70	57	edb	edb	NOUN
cana-2483	70	58	dataset	dataset	VERB
cana-2483	70	59	79	79	NUM
cana-2483	70	60	90	90	NUM
cana-2483	70	61	(	(	PUNCT
cana-2483	70	62	120	120	NUM
cana-2483	70	63	 	 	SPACE
cana-2483	70	64	min	min	NOUN
cana-2483	70	65	)	)	PUNCT
cana-2483	70	66	250	250	NUM
cana-2483	70	67	 	 	SPACE
cana-2483	70	68	hz	hz	VERB
cana-2483	70	69	30–84	30–84	NUM
cana-2483	70	70	70	70	NUM
cana-2483	70	71	(	(	PUNCT
cana-2483	70	72	88.61	88.61	NUM
cana-2483	70	73	)	)	PUNCT
cana-2483	70	74	2	2	NUM
cana-2483	70	75	aha	aha	INTJ
cana-2483	70	76	dataset	dataset	VERB
cana-2483	70	77	n	n	CCONJ
cana-2483	70	78	/	/	SYM
cana-2483	70	79	a	a	DET
cana-2483	70	80	154	154	NUM
cana-2483	70	81	(	(	PUNCT
cana-2483	70	82	180	180	NUM
cana-2483	70	83	 	 	SPACE
cana-2483	70	84	min	min	NOUN
cana-2483	70	85	)	)	PUNCT
cana-2483	70	86	250	250	NUM
cana-2483	70	87	 	 	SPACE
cana-2483	70	88	hz	hz	VERB
cana-2483	70	89	n	n	CCONJ
cana-2483	70	90	/	/	SYM
cana-2483	70	91	a	a	DET
cana-2483	70	92	n	n	CCONJ
cana-2483	70	93	/	/	SYM
cana-2483	70	94	a	a	DET
cana-2483	70	95	2	2	NUM
cana-2483	70	96	proposed	propose	VERB
cana-2483	70	97	dataset	dataset	NOUN
cana-2483	70	98	10646	10646	NUM
cana-2483	70	99	10646	10646	NUM
cana-2483	70	100	(	(	PUNCT
cana-2483	70	101	10	10	NUM
cana-2483	70	102	 	 	SPACE
cana-2483	70	103	seconds	second	NOUN
cana-2483	70	104	)	)	PUNCT
cana-2483	70	105	500	500	NUM
cana-2483	70	106	 	 	SPACE
cana-2483	70	107	hz	hz	VERB
cana-2483	70	108	4–98	4–98	PROPN
cana-2483	70	109	5956	5956	NUM
cana-2483	70	110	(	(	PUNCT
cana-2483	70	111	55.95	55.95	NUM
cana-2483	70	112	)	)	PUNCT
cana-2483	70	113	12	12	NUM
cana-2483	70	114	the	the	DET
cana-2483	70	115	proposed	propose	VERB
cana-2483	70	116	flow	flow	NOUN
cana-2483	70	117	diagram	diagram	NOUN
cana-2483	70	118	is	be	AUX
cana-2483	70	119	given	give	VERB
cana-2483	70	120	in	in	ADP
cana-2483	70	121	figure	figure	NOUN
cana-2483	70	122	.	.	PUNCT
cana-2483	71	1	1	1	X
cana-2483	71	2	.	.	X
cana-2483	71	3	688	688	NUM
cana-2483	71	4	vol	vol	NOUN
cana-2483	71	5	32	32	NUM
cana-2483	71	6	no	no	NOUN
cana-2483	71	7	.	.	NOUN
cana-2483	71	8	3	3	NUM
cana-2483	71	9	(	(	PUNCT
cana-2483	71	10	2025	2025	NUM
cana-2483	71	11	)	)	PUNCT
cana-2483	71	12	communications	communication	NOUN
cana-2483	71	13	on	on	ADP
cana-2483	71	14	applied	apply	VERB
cana-2483	71	15	nonlinear	nonlinear	ADJ
cana-2483	71	16	analysis	analysis	NOUN
cana-2483	71	17	issn	issn	NOUN
cana-2483	71	18	:	:	PUNCT
cana-2483	71	19	1074	1074	NUM
cana-2483	71	20	-	-	PUNCT
cana-2483	71	21	133x	133x	PROPN
cana-2483	71	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	71	23	figure	figure	NOUN
cana-2483	71	24	.	.	PUNCT
cana-2483	72	1	1	1	NUM
cana-2483	72	2	process	process	NOUN
cana-2483	72	3	flow	flow	NOUN
cana-2483	72	4	diagram	diagram	NOUN
cana-2483	72	5	3.2	3.2	NUM
cana-2483	72	6	data	datum	NOUN
cana-2483	72	7	preprocessing	preprocesse	VERB
cana-2483	72	8	3.2.1	3.2.1	NUM
cana-2483	72	9	noise	noise	NOUN
cana-2483	72	10	removal	removal	NOUN
cana-2483	72	11	ecg	ecg	PROPN
cana-2483	72	12	signals	signal	NOUN
cana-2483	72	13	are	be	AUX
cana-2483	72	14	highly	highly	ADV
cana-2483	72	15	vulnerable	vulnerable	ADJ
cana-2483	72	16	to	to	ADP
cana-2483	72	17	an	an	DET
cana-2483	72	18	array	array	NOUN
cana-2483	72	19	of	of	ADP
cana-2483	72	20	distinct	distinct	ADJ
cana-2483	72	21	types	type	NOUN
cana-2483	72	22	of	of	ADP
cana-2483	72	23	noise	noise	NOUN
cana-2483	72	24	,	,	PUNCT
cana-2483	72	25	which	which	PRON
cana-2483	72	26	can	can	AUX
cana-2483	72	27	emanate	emanate	VERB
cana-2483	72	28	from	from	ADP
cana-2483	72	29	a	a	DET
cana-2483	72	30	multitude	multitude	NOUN
cana-2483	72	31	of	of	ADP
cana-2483	72	32	diverse	diverse	ADJ
cana-2483	72	33	sources	source	NOUN
cana-2483	72	34	,	,	PUNCT
cana-2483	72	35	including	include	VERB
cana-2483	72	36	,	,	PUNCT
cana-2483	72	37	but	but	CCONJ
cana-2483	72	38	not	not	PART
cana-2483	72	39	limited	limit	VERB
cana-2483	72	40	to	to	ADP
cana-2483	72	41	,	,	PUNCT
cana-2483	72	42	baseline	baseline	VERB
cana-2483	72	43	drift	drift	NOUN
cana-2483	72	44	phenomena	phenomenon	NOUN
cana-2483	72	45	,	,	PUNCT
cana-2483	72	46	muscle	muscle	NOUN
cana-2483	72	47	artifacts	artifact	NOUN
cana-2483	72	48	introduced	introduce	VERB
cana-2483	72	49	during	during	ADP
cana-2483	72	50	the	the	DET
cana-2483	72	51	acquisition	acquisition	NOUN
cana-2483	72	52	process	process	NOUN
cana-2483	72	53	,	,	PUNCT
cana-2483	72	54	power	power	NOUN
cana-2483	72	55	line	line	NOUN
cana-2483	72	56	interference	interference	NOUN
cana-2483	72	57	that	that	PRON
cana-2483	72	58	interferes	interfere	VERB
cana-2483	72	59	with	with	ADP
cana-2483	72	60	signal	signal	ADJ
cana-2483	72	61	integrity	integrity	NOUN
cana-2483	72	62	,	,	PUNCT
cana-2483	72	63	electrode	electrode	NOUN
cana-2483	72	64	contact	contact	NOUN
cana-2483	72	65	noise	noise	NOUN
cana-2483	72	66	arising	arise	VERB
cana-2483	72	67	from	from	ADP
cana-2483	72	68	inadequate	inadequate	ADJ
cana-2483	72	69	electrode	electrode	NOUN
cana-2483	72	70	adhesion	adhesion	NOUN
cana-2483	72	71	,	,	PUNCT
cana-2483	72	72	and	and	CCONJ
cana-2483	72	73	motion	motion	NOUN
cana-2483	72	74	artifacts	artifact	NOUN
cana-2483	72	75	resulting	result	VERB
cana-2483	72	76	from	from	ADP
cana-2483	72	77	patient	patient	ADJ
cana-2483	72	78	movement	movement	NOUN
cana-2483	72	79	during	during	ADP
cana-2483	72	80	the	the	DET
cana-2483	72	81	recording	recording	NOUN
cana-2483	72	82	procedure	procedure	NOUN
cana-2483	72	83	.	.	PUNCT
cana-2483	73	1	3.2.2	3.2.2	NUM
cana-2483	73	2	bandpass	bandpass	NOUN
cana-2483	73	3	filter	filter	NOUN
cana-2483	73	4	to	to	PART
cana-2483	73	5	meticulously	meticulously	ADV
cana-2483	73	6	engineer	engineer	VERB
cana-2483	73	7	a	a	DET
cana-2483	73	8	highly	highly	ADV
cana-2483	73	9	efficient	efficient	ADJ
cana-2483	73	10	bandpass	bandpass	NOUN
cana-2483	73	11	filter	filter	NOUN
cana-2483	73	12	designed	design	VERB
cana-2483	73	13	explicitly	explicitly	ADV
cana-2483	73	14	for	for	ADP
cana-2483	73	15	the	the	DET
cana-2483	73	16	nuanced	nuanced	ADJ
cana-2483	73	17	characteristics	characteristic	NOUN
cana-2483	73	18	of	of	ADP
cana-2483	73	19	electrocardiogram	electrocardiogram	NOUN
cana-2483	73	20	(	(	PUNCT
cana-2483	73	21	ecg	ecg	PROPN
cana-2483	73	22	)	)	PUNCT
cana-2483	73	23	signals	signal	NOUN
cana-2483	73	24	,	,	PUNCT
cana-2483	73	25	our	our	PRON
cana-2483	73	26	primary	primary	ADJ
cana-2483	73	27	focus	focus	NOUN
cana-2483	73	28	is	be	AUX
cana-2483	73	29	a	a	DET
cana-2483	73	30	well	well	ADV
cana-2483	73	31	-	-	PUNCT
cana-2483	73	32	defined	define	VERB
cana-2483	73	33	frequency	frequency	NOUN
cana-2483	73	34	spectrum	spectrum	NOUN
cana-2483	73	35	encompassing	encompass	VERB
cana-2483	73	36	the	the	DET
cana-2483	73	37	vital	vital	ADJ
cana-2483	73	38	components	component	NOUN
cana-2483	73	39	of	of	ADP
cana-2483	73	40	the	the	DET
cana-2483	73	41	ecg	ecg	PROPN
cana-2483	73	42	waveform	waveform	NOUN
cana-2483	73	43	,	,	PUNCT
cana-2483	73	44	which	which	PRON
cana-2483	73	45	conventionally	conventionally	ADV
cana-2483	73	46	ranges	range	VERB
cana-2483	73	47	from	from	ADP
cana-2483	73	48	0.5	0.5	NUM
cana-2483	73	49	hz	hz	NOUN
cana-2483	73	50	to	to	ADP
cana-2483	73	51	45	45	NUM
cana-2483	73	52	hz	hz	NOUN
cana-2483	73	53	.	.	PUNCT
cana-2483	74	1	this	this	DET
cana-2483	74	2	carefully	carefully	ADV
cana-2483	74	3	selected	select	VERB
cana-2483	74	4	frequency	frequency	NOUN
cana-2483	74	5	range	range	NOUN
cana-2483	74	6	is	be	AUX
cana-2483	74	7	intentionally	intentionally	ADV
cana-2483	74	8	chosen	choose	VERB
cana-2483	74	9	due	due	ADP
cana-2483	74	10	to	to	ADP
cana-2483	74	11	its	its	PRON
cana-2483	74	12	remarkable	remarkable	ADJ
cana-2483	74	13	ability	ability	NOUN
cana-2483	74	14	to	to	PART
cana-2483	74	15	effectively	effectively	ADV
cana-2483	74	16	capture	capture	VERB
cana-2483	74	17	and	and	CCONJ
cana-2483	74	18	represent	represent	VERB
cana-2483	74	19	the	the	DET
cana-2483	74	20	essential	essential	ADJ
cana-2483	74	21	physiological	physiological	ADJ
cana-2483	74	22	signals	signal	NOUN
cana-2483	74	23	intrinsic	intrinsic	ADJ
cana-2483	74	24	to	to	ADP
cana-2483	74	25	the	the	DET
cana-2483	74	26	ecg	ecg	PROPN
cana-2483	74	27	while	while	SCONJ
cana-2483	74	28	simultaneously	simultaneously	ADV
cana-2483	74	29	filtering	filter	VERB
cana-2483	74	30	out	out	ADP
cana-2483	74	31	any	any	DET
cana-2483	74	32	extraneous	extraneous	ADJ
cana-2483	74	33	noise	noise	NOUN
cana-2483	74	34	and	and	CCONJ
cana-2483	74	35	artefacts	artefact	NOUN
cana-2483	74	36	that	that	PRON
cana-2483	74	37	could	could	AUX
cana-2483	74	38	compromise	compromise	VERB
cana-2483	74	39	the	the	DET
cana-2483	74	40	accuracy	accuracy	NOUN
cana-2483	74	41	and	and	CCONJ
cana-2483	74	42	reliability	reliability	NOUN
cana-2483	74	43	of	of	ADP
cana-2483	74	44	the	the	DET
cana-2483	74	45	readings	reading	NOUN
cana-2483	74	46	we	we	PRON
cana-2483	74	47	obtain	obtain	VERB
cana-2483	74	48	.	.	PUNCT
cana-2483	75	1	by	by	ADP
cana-2483	75	2	employing	employ	VERB
cana-2483	75	3	such	such	DET
cana-2483	75	4	a	a	DET
cana-2483	75	5	precision	precision	NOUN
cana-2483	75	6	-	-	PUNCT
cana-2483	75	7	driven	drive	VERB
cana-2483	75	8	approach	approach	NOUN
cana-2483	75	9	,	,	PUNCT
cana-2483	75	10	we	we	PRON
cana-2483	75	11	ensure	ensure	VERB
cana-2483	75	12	that	that	SCONJ
cana-2483	75	13	the	the	DET
cana-2483	75	14	resultant	resultant	NOUN
cana-2483	75	15	filter	filter	NOUN
cana-2483	75	16	meets	meet	VERB
cana-2483	75	17	the	the	DET
cana-2483	75	18	stringent	stringent	ADJ
cana-2483	75	19	requirements	requirement	NOUN
cana-2483	75	20	for	for	ADP
cana-2483	75	21	clinical	clinical	ADJ
cana-2483	75	22	applications	application	NOUN
cana-2483	75	23	and	and	CCONJ
cana-2483	75	24	vastly	vastly	ADV
cana-2483	75	25	enhances	enhance	VERB
cana-2483	75	26	the	the	DET
cana-2483	75	27	clarity	clarity	NOUN
cana-2483	75	28	and	and	CCONJ
cana-2483	75	29	integrity	integrity	NOUN
cana-2483	75	30	of	of	ADP
cana-2483	75	31	the	the	DET
cana-2483	75	32	ecg	ecg	PROPN
cana-2483	75	33	signals	signal	NOUN
cana-2483	75	34	being	be	AUX
cana-2483	75	35	monitored	monitor	VERB
cana-2483	75	36	and	and	CCONJ
cana-2483	75	37	analysed	analyse	VERB
cana-2483	75	38	.	.	PUNCT
cana-2483	76	1	3.2.3	3.2.3	NUM
cana-2483	76	2	notch	notch	NOUN
cana-2483	76	3	filter	filter	NOUN
cana-2483	76	4	the	the	DET
cana-2483	76	5	challenge	challenge	NOUN
cana-2483	76	6	of	of	ADP
cana-2483	76	7	powerline	powerline	NOUN
cana-2483	76	8	interference	interference	NOUN
cana-2483	76	9	,	,	PUNCT
cana-2483	76	10	which	which	PRON
cana-2483	76	11	can	can	AUX
cana-2483	76	12	destroy	destroy	VERB
cana-2483	76	13	signal	signal	ADJ
cana-2483	76	14	integrity	integrity	NOUN
cana-2483	76	15	,	,	PUNCT
cana-2483	76	16	is	be	AUX
cana-2483	76	17	addressed	address	VERB
cana-2483	76	18	by	by	ADP
cana-2483	76	19	a	a	DET
cana-2483	76	20	highly	highly	ADV
cana-2483	76	21	specialised	specialised	ADJ
cana-2483	76	22	notch	notch	ADJ
cana-2483	76	23	filter	filter	NOUN
cana-2483	76	24	that	that	PRON
cana-2483	76	25	is	be	AUX
cana-2483	76	26	intricately	intricately	ADV
cana-2483	76	27	designed	design	VERB
cana-2483	76	28	.	.	PUNCT
cana-2483	77	1	precisely	precisely	ADV
cana-2483	77	2	engineered	engineer	VERB
cana-2483	77	3	to	to	PART
cana-2483	77	4	attenuate	attenuate	VERB
cana-2483	77	5	powerline	powerline	NOUN
cana-2483	77	6	noise	noise	NOUN
cana-2483	77	7	frequency	frequency	NOUN
cana-2483	77	8	components	component	NOUN
cana-2483	77	9	at	at	ADP
cana-2483	77	10	50	50	NUM
cana-2483	77	11	hz	hz	ADJ
cana-2483	77	12	or	or	CCONJ
cana-2483	77	13	60	60	NUM
cana-2483	77	14	hz	hz	VERB
cana-2483	77	15	,	,	PUNCT
cana-2483	77	16	this	this	DET
cana-2483	77	17	filter	filter	NOUN
cana-2483	77	18	is	be	AUX
cana-2483	77	19	precisely	precisely	ADV
cana-2483	77	20	engineered	engineer	VERB
cana-2483	77	21	to	to	PART
cana-2483	77	22	target	target	VERB
cana-2483	77	23	and	and	CCONJ
cana-2483	77	24	markedly	markedly	ADV
cana-2483	77	25	attenuate	attenuate	VERB
cana-2483	77	26	the	the	DET
cana-2483	77	27	frequency	frequency	NOUN
cana-2483	77	28	components	component	NOUN
cana-2483	77	29	associated	associate	VERB
cana-2483	77	30	with	with	ADP
cana-2483	77	31	powerline	powerline	NOUN
cana-2483	77	32	noise	noise	NOUN
cana-2483	77	33	.	.	PUNCT
cana-2483	78	1	the	the	DET
cana-2483	78	2	notch	notch	ADJ
cana-2483	78	3	filter	filter	NOUN
cana-2483	78	4	is	be	AUX
cana-2483	78	5	essential	essential	ADJ
cana-2483	78	6	in	in	ADP
cana-2483	78	7	precisely	precisely	ADV
cana-2483	78	8	isolating	isolate	VERB
cana-2483	78	9	these	these	DET
cana-2483	78	10	frequencies	frequency	NOUN
cana-2483	78	11	and	and	CCONJ
cana-2483	78	12	thus	thus	ADV
cana-2483	78	13	mitigating	mitigate	VERB
cana-2483	78	14	unwanted	unwanted	ADJ
cana-2483	78	15	interference	interference	NOUN
cana-2483	78	16	to	to	ADP
cana-2483	78	17	the	the	DET
cana-2483	78	18	point	point	NOUN
cana-2483	78	19	where	where	SCONJ
cana-2483	78	20	the	the	DET
cana-2483	78	21	transmitted	transmit	VERB
cana-2483	78	22	signal	signal	NOUN
cana-2483	78	23	is	be	AUX
cana-2483	78	24	of	of	ADP
cana-2483	78	25	much	much	ADV
cana-2483	78	26	higher	high	ADJ
cana-2483	78	27	quality	quality	NOUN
cana-2483	78	28	and	and	CCONJ
cana-2483	78	29	clarity	clarity	NOUN
cana-2483	78	30	.	.	PUNCT
cana-2483	79	1	by	by	ADP
cana-2483	79	2	bridging	bridge	VERB
cana-2483	79	3	two	two	NUM
cana-2483	79	4	fundamental	fundamental	ADJ
cana-2483	79	5	objectives	objective	NOUN
cana-2483	79	6	,	,	PUNCT
cana-2483	79	7	namely	namely	ADV
cana-2483	79	8	,	,	PUNCT
cana-2483	79	9	reliability	reliability	NOUN
cana-2483	79	10	improvement	improvement	NOUN
cana-2483	79	11	in	in	ADP
cana-2483	79	12	communication	communication	NOUN
cana-2483	79	13	systems	system	NOUN
cana-2483	79	14	and	and	CCONJ
cana-2483	79	15	maintaining	maintain	VERB
cana-2483	79	16	data	datum	NOUN
cana-2483	79	17	integrity	integrity	NOUN
cana-2483	79	18	,	,	PUNCT
cana-2483	79	19	this	this	DET
cana-2483	79	20	advancement	advancement	NOUN
cana-2483	79	21	enhances	enhance	VERB
cana-2483	79	22	the	the	DET
cana-2483	79	23	reliability	reliability	NOUN
cana-2483	79	24	of	of	ADP
cana-2483	79	25	689	689	NUM
cana-2483	79	26	vol	vol	NOUN
cana-2483	79	27	32	32	NUM
cana-2483	79	28	no	no	NOUN
cana-2483	79	29	.	.	NOUN
cana-2483	79	30	3	3	NUM
cana-2483	79	31	(	(	PUNCT
cana-2483	79	32	2025	2025	NUM
cana-2483	79	33	)	)	PUNCT
cana-2483	79	34	communications	communication	NOUN
cana-2483	79	35	on	on	ADP
cana-2483	79	36	applied	apply	VERB
cana-2483	79	37	nonlinear	nonlinear	ADJ
cana-2483	79	38	analysis	analysis	NOUN
cana-2483	79	39	issn	issn	NOUN
cana-2483	79	40	:	:	PUNCT
cana-2483	79	41	1074	1074	NUM
cana-2483	79	42	-	-	PUNCT
cana-2483	79	43	133x	133x	PROPN
cana-2483	79	44	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	79	45	communication	communication	NOUN
cana-2483	79	46	systems	system	NOUN
cana-2483	79	47	,	,	PUNCT
cana-2483	79	48	ultimately	ultimately	ADV
cana-2483	79	49	enhancing	enhance	VERB
cana-2483	79	50	the	the	DET
cana-2483	79	51	system	system	NOUN
cana-2483	79	52	’s	’s	PART
cana-2483	79	53	performance	performance	NOUN
cana-2483	79	54	in	in	ADP
cana-2483	79	55	many	many	ADJ
cana-2483	79	56	application	application	NOUN
cana-2483	79	57	areas	area	NOUN
cana-2483	79	58	.	.	PUNCT
cana-2483	80	1	3.2.4	3.2.4	NUM
cana-2483	80	2	adaptive	adaptive	ADJ
cana-2483	80	3	filter	filter	NOUN
cana-2483	80	4	(	(	PUNCT
cana-2483	80	5	lms	lms	NOUN
cana-2483	80	6	)	)	PUNCT
cana-2483	80	7	signal	signal	NOUN
cana-2483	80	8	processing	processing	NOUN
cana-2483	80	9	has	have	AUX
cana-2483	80	10	long	long	ADV
cana-2483	80	11	relied	rely	VERB
cana-2483	80	12	on	on	ADP
cana-2483	80	13	adaptive	adaptive	ADJ
cana-2483	80	14	filtering	filtering	NOUN
cana-2483	80	15	techniques	technique	NOUN
cana-2483	80	16	to	to	PART
cana-2483	80	17	combat	combat	VERB
cana-2483	80	18	various	various	ADJ
cana-2483	80	19	and	and	CCONJ
cana-2483	80	20	sometimes	sometimes	ADV
cana-2483	80	21	unpredictable	unpredictable	ADJ
cana-2483	80	22	sources	source	NOUN
cana-2483	80	23	of	of	ADP
cana-2483	80	24	noise	noise	NOUN
cana-2483	80	25	(	(	PUNCT
cana-2483	80	26	s	s	NOUN
cana-2483	80	27	et	et	NOUN
cana-2483	80	28	al	al	PROPN
cana-2483	80	29	.	.	PROPN
cana-2483	80	30	,	,	PUNCT
cana-2483	80	31	2024	2024	NUM
cana-2483	80	32	)	)	PUNCT
cana-2483	80	33	.	.	PUNCT
cana-2483	81	1	the	the	DET
cana-2483	81	2	least	least	ADV
cana-2483	81	3	mean	mean	ADJ
cana-2483	81	4	squares	square	NOUN
cana-2483	81	5	(	(	PUNCT
cana-2483	81	6	lms	lm	NOUN
cana-2483	81	7	)	)	PUNCT
cana-2483	81	8	algorithm	algorithm	NOUN
cana-2483	81	9	is	be	AUX
cana-2483	81	10	perhaps	perhaps	ADV
cana-2483	81	11	the	the	DET
cana-2483	81	12	most	most	ADV
cana-2483	81	13	well	well	ADV
cana-2483	81	14	-	-	PUNCT
cana-2483	81	15	known	know	VERB
cana-2483	81	16	and	and	CCONJ
cana-2483	81	17	widely	widely	ADV
cana-2483	81	18	used	use	VERB
cana-2483	81	19	of	of	ADP
cana-2483	81	20	these	these	DET
cana-2483	81	21	techniques	technique	NOUN
cana-2483	81	22	.	.	PUNCT
cana-2483	82	1	adaptive	adaptive	ADJ
cana-2483	82	2	filtering	filtering	NOUN
cana-2483	82	3	is	be	AUX
cana-2483	82	4	so	so	ADV
cana-2483	82	5	powerful	powerful	ADJ
cana-2483	82	6	due	due	ADP
cana-2483	82	7	to	to	ADP
cana-2483	82	8	its	its	PRON
cana-2483	82	9	ability	ability	NOUN
cana-2483	82	10	to	to	PART
cana-2483	82	11	change	change	VERB
cana-2483	82	12	continuously	continuously	ADV
cana-2483	82	13	or	or	CCONJ
cana-2483	82	14	adapt	adapt	VERB
cana-2483	82	15	as	as	ADP
cana-2483	82	16	the	the	DET
cana-2483	82	17	input	input	NOUN
cana-2483	82	18	signal	signal	NOUN
cana-2483	82	19	changes	change	NOUN
cana-2483	82	20	over	over	ADP
cana-2483	82	21	time	time	NOUN
cana-2483	82	22	.	.	PUNCT
cana-2483	83	1	this	this	DET
cana-2483	83	2	adaption	adaption	NOUN
cana-2483	83	3	of	of	ADP
cana-2483	83	4	the	the	DET
cana-2483	83	5	algorithm	algorithm	NOUN
cana-2483	83	6	allows	allow	VERB
cana-2483	83	7	it	it	PRON
cana-2483	83	8	to	to	PART
cana-2483	83	9	efficiently	efficiently	ADV
cana-2483	83	10	search	search	VERB
cana-2483	83	11	and	and	CCONJ
cana-2483	83	12	suppress	suppress	ADJ
cana-2483	83	13	noise	noise	NOUN
cana-2483	83	14	,	,	PUNCT
cana-2483	83	15	regardless	regardless	ADV
cana-2483	83	16	of	of	ADP
cana-2483	83	17	where	where	SCONJ
cana-2483	83	18	it	it	PRON
cana-2483	83	19	came	come	VERB
cana-2483	83	20	from	from	ADP
cana-2483	83	21	or	or	CCONJ
cana-2483	83	22	how	how	SCONJ
cana-2483	83	23	it	it	PRON
cana-2483	83	24	fluctuated	fluctuate	VERB
cana-2483	83	25	.	.	PUNCT
cana-2483	84	1	the	the	DET
cana-2483	84	2	lms	lm	NOUN
cana-2483	84	3	algorithm	algorithm	NOUN
cana-2483	84	4	continuously	continuously	ADV
cana-2483	84	5	checks	check	VERB
cana-2483	84	6	the	the	DET
cana-2483	84	7	signal	signal	NOUN
cana-2483	84	8	and	and	CCONJ
cana-2483	84	9	tunes	tune	NOUN
cana-2483	84	10	the	the	DET
cana-2483	84	11	parameters	parameter	NOUN
cana-2483	84	12	corresponding	correspond	VERB
cana-2483	84	13	to	to	ADP
cana-2483	84	14	the	the	DET
cana-2483	84	15	real	real	ADJ
cana-2483	84	16	-	-	PUNCT
cana-2483	84	17	time	time	NOUN
cana-2483	84	18	data	datum	NOUN
cana-2483	84	19	to	to	PART
cana-2483	84	20	improve	improve	VERB
cana-2483	84	21	the	the	DET
cana-2483	84	22	overall	overall	ADJ
cana-2483	84	23	quality	quality	NOUN
cana-2483	84	24	and	and	CCONJ
cana-2483	84	25	clarity	clarity	NOUN
cana-2483	84	26	of	of	ADP
cana-2483	84	27	the	the	DET
cana-2483	84	28	desired	desire	VERB
cana-2483	84	29	output	output	NOUN
cana-2483	84	30	.	.	PUNCT
cana-2483	85	1	the	the	DET
cana-2483	85	2	information	information	NOUN
cana-2483	85	3	is	be	AUX
cana-2483	85	4	processed	process	VERB
cana-2483	85	5	with	with	ADP
cana-2483	85	6	integrity	integrity	NOUN
cana-2483	85	7	,	,	PUNCT
cana-2483	85	8	and	and	CCONJ
cana-2483	85	9	so	so	ADV
cana-2483	85	10	the	the	DET
cana-2483	85	11	signal	signal	ADJ
cana-2483	85	12	fidelity	fidelity	NOUN
cana-2483	85	13	is	be	AUX
cana-2483	85	14	improved	improve	VERB
cana-2483	85	15	.	.	PUNCT
cana-2483	86	1	after	after	ADP
cana-2483	86	2	applying	apply	VERB
cana-2483	86	3	the	the	DET
cana-2483	86	4	above	above	ADJ
cana-2483	86	5	filters	filter	NOUN
cana-2483	86	6	for	for	ADP
cana-2483	86	7	noise	noise	NOUN
cana-2483	86	8	removal	removal	NOUN
cana-2483	86	9	,	,	PUNCT
cana-2483	86	10	figure	figure	NOUN
cana-2483	86	11	2	2	NUM
cana-2483	86	12	shows	show	VERB
cana-2483	86	13	the	the	DET
cana-2483	86	14	resultant	resultant	NOUN
cana-2483	86	15	ecg	ecg	PROPN
cana-2483	86	16	signal	signal	PROPN
cana-2483	86	17	.	.	PUNCT
cana-2483	87	1	figure	figure	NOUN
cana-2483	87	2	.	.	PUNCT
cana-2483	88	1	2	2	NUM
cana-2483	88	2	noise	noise	NOUN
cana-2483	88	3	removal	removal	NOUN
cana-2483	88	4	by	by	ADP
cana-2483	88	5	applying	apply	VERB
cana-2483	88	6	filters	filter	NOUN
cana-2483	88	7	3.3	3.3	NUM
cana-2483	88	8	feature	feature	NOUN
cana-2483	88	9	extraction	extraction	NOUN
cana-2483	88	10	3.3.1	3.3.1	NUM
cana-2483	88	11	wavelet	wavelet	NOUN
cana-2483	88	12	decomposition	decomposition	NOUN
cana-2483	88	13	the	the	DET
cana-2483	88	14	study	study	NOUN
cana-2483	88	15	shows	show	VERB
cana-2483	88	16	that	that	SCONJ
cana-2483	88	17	wavelet	wavelet	NOUN
cana-2483	88	18	decomposition	decomposition	NOUN
cana-2483	88	19	is	be	AUX
cana-2483	88	20	essential	essential	ADJ
cana-2483	88	21	in	in	ADP
cana-2483	88	22	analysing	analyse	VERB
cana-2483	88	23	frequency	frequency	NOUN
cana-2483	88	24	components	component	NOUN
cana-2483	88	25	in	in	ADP
cana-2483	88	26	preprocessed	preprocesse	VERB
cana-2483	88	27	ecg	ecg	PROPN
cana-2483	88	28	signals	signal	NOUN
cana-2483	88	29	.	.	PUNCT
cana-2483	89	1	the	the	DET
cana-2483	89	2	daubechies	daubechies	PROPN
cana-2483	89	3	wavelet	wavelet	NOUN
cana-2483	89	4	(	(	PUNCT
cana-2483	89	5	especially	especially	ADV
cana-2483	89	6	db4	db4	VERB
cana-2483	89	7	)	)	PUNCT
cana-2483	89	8	was	be	AUX
cana-2483	89	9	chosen	choose	VERB
cana-2483	89	10	as	as	SCONJ
cana-2483	89	11	it	it	PRON
cana-2483	89	12	was	be	AUX
cana-2483	89	13	close	close	ADJ
cana-2483	89	14	to	to	ADP
cana-2483	89	15	the	the	DET
cana-2483	89	16	qrs	qrs	PROPN
cana-2483	89	17	complex	complex	ADJ
cana-2483	89	18	morphology	morphology	NOUN
cana-2483	89	19	needed	need	VERB
cana-2483	89	20	for	for	ADP
cana-2483	89	21	accurate	accurate	ADJ
cana-2483	89	22	feature	feature	NOUN
cana-2483	89	23	extraction	extraction	NOUN
cana-2483	89	24	.	.	PUNCT
cana-2483	90	1	it	it	PRON
cana-2483	90	2	is	be	AUX
cana-2483	90	3	decomposed	decompose	VERB
cana-2483	90	4	into	into	ADP
cana-2483	90	5	six	six	NUM
cana-2483	90	6	levels	level	NOUN
cana-2483	90	7	to	to	PART
cana-2483	90	8	study	study	VERB
cana-2483	90	9	its	its	PRON
cana-2483	90	10	frequency	frequency	NOUN
cana-2483	90	11	components	component	NOUN
cana-2483	90	12	in	in	ADP
cana-2483	90	13	detail	detail	NOUN
cana-2483	90	14	.	.	PUNCT
cana-2483	91	1	qrs	qrs	PROPN
cana-2483	91	2	complexes	complex	NOUN
cana-2483	91	3	,	,	PUNCT
cana-2483	91	4	peaks	peak	NOUN
cana-2483	91	5	at	at	ADP
cana-2483	91	6	high	high	ADJ
cana-2483	91	7	frequency	frequency	NOUN
cana-2483	91	8	(	(	PUNCT
cana-2483	91	9	10	10	NUM
cana-2483	91	10	to	to	PART
cana-2483	91	11	30	30	NUM
cana-2483	91	12	hz	hz	NOUN
cana-2483	91	13	)	)	PUNCT
cana-2483	91	14	,	,	PUNCT
cana-2483	91	15	are	be	AUX
cana-2483	91	16	important	important	ADJ
cana-2483	91	17	in	in	ADP
cana-2483	91	18	recording	recording	NOUN
cana-2483	91	19	and	and	CCONJ
cana-2483	91	20	understanding	understand	VERB
cana-2483	91	21	heart	heart	NOUN
cana-2483	91	22	electrical	electrical	ADJ
cana-2483	91	23	activity	activity	NOUN
cana-2483	91	24	;	;	PUNCT
cana-2483	91	25	p	p	NOUN
cana-2483	91	26	and	and	CCONJ
cana-2483	91	27	t	t	PROPN
cana-2483	91	28	waves	wave	NOUN
cana-2483	91	29	are	be	AUX
cana-2483	91	30	low	low	ADJ
cana-2483	91	31	-	-	PUNCT
cana-2483	91	32	frequency	frequency	NOUN
cana-2483	91	33	components	component	NOUN
cana-2483	91	34	,	,	PUNCT
cana-2483	91	35	p	p	NOUN
cana-2483	91	36	waves	wave	NOUN
cana-2483	91	37	are	be	AUX
cana-2483	91	38	due	due	ADJ
cana-2483	91	39	to	to	ADP
cana-2483	91	40	atrial	atrial	ADJ
cana-2483	91	41	depolarisation	depolarisation	NOUN
cana-2483	91	42	,	,	PUNCT
cana-2483	91	43	and	and	CCONJ
cana-2483	91	44	t	t	PROPN
cana-2483	91	45	waves	wave	NOUN
cana-2483	91	46	to	to	PART
cana-2483	91	47	ventricular	ventricular	VERB
cana-2483	91	48	repolarisation	repolarisation	NOUN
cana-2483	91	49	.	.	PUNCT
cana-2483	92	1	this	this	DET
cana-2483	92	2	analysis	analysis	NOUN
cana-2483	92	3	shows	show	VERB
cana-2483	92	4	that	that	SCONJ
cana-2483	92	5	wavelet	wavelet	NOUN
cana-2483	92	6	decomposition	decomposition	NOUN
cana-2483	92	7	is	be	AUX
cana-2483	92	8	an	an	DET
cana-2483	92	9	effective	effective	ADJ
cana-2483	92	10	method	method	NOUN
cana-2483	92	11	for	for	ADP
cana-2483	92	12	ecg	ecg	PROPN
cana-2483	92	13	feature	feature	NOUN
cana-2483	92	14	extraction	extraction	NOUN
cana-2483	92	15	and	and	CCONJ
cana-2483	92	16	reveals	reveal	VERB
cana-2483	92	17	the	the	DET
cana-2483	92	18	ecg	ecg	PROPN
cana-2483	92	19	signals	signal	NOUN
cana-2483	92	20	and	and	CCONJ
cana-2483	92	21	the	the	DET
cana-2483	92	22	underlying	underlie	VERB
cana-2483	92	23	physiological	physiological	ADJ
cana-2483	92	24	processes	process	NOUN
cana-2483	92	25	.	.	PUNCT
cana-2483	93	1	3.3.2	3.3.2	NUM
cana-2483	93	2	pan	pan	NOUN
cana-2483	93	3	-	-	ADJ
cana-2483	93	4	tompkins	tompkin	NOUN
cana-2483	93	5	algorithm	algorithm	NOUN
cana-2483	93	6	for	for	ADP
cana-2483	93	7	qrs	qrs	PROPN
cana-2483	93	8	complex	complex	ADJ
cana-2483	93	9	identification	identification	NOUN
cana-2483	93	10	the	the	DET
cana-2483	93	11	signal	signal	NOUN
cana-2483	93	12	is	be	AUX
cana-2483	93	13	differentiated	differentiate	VERB
cana-2483	93	14	to	to	PART
cana-2483	93	15	highlight	highlight	VERB
cana-2483	93	16	the	the	DET
cana-2483	93	17	rapid	rapid	ADJ
cana-2483	93	18	transitions	transition	NOUN
cana-2483	93	19	of	of	ADP
cana-2483	93	20	the	the	DET
cana-2483	93	21	qrs	qrs	PROPN
cana-2483	93	22	complex	complex	NOUN
cana-2483	93	23	,	,	PUNCT
cana-2483	93	24	which	which	PRON
cana-2483	93	25	indicates	indicate	VERB
cana-2483	93	26	ventricular	ventricular	ADJ
cana-2483	93	27	depolarisation	depolarisation	NOUN
cana-2483	93	28	,	,	PUNCT
cana-2483	93	29	and	and	CCONJ
cana-2483	93	30	the	the	DET
cana-2483	93	31	analysis	analysis	NOUN
cana-2483	93	32	of	of	ADP
cana-2483	93	33	electrocardiogram	electrocardiogram	NOUN
cana-2483	93	34	(	(	PUNCT
cana-2483	93	35	ecg	ecg	PROPN
cana-2483	93	36	)	)	PUNCT
cana-2483	93	37	signals	signal	NOUN
cana-2483	93	38	starts	start	VERB
cana-2483	93	39	.	.	PUNCT
cana-2483	94	1	this	this	DET
cana-2483	94	2	differentiation	differentiation	NOUN
cana-2483	94	3	is	be	AUX
cana-2483	94	4	amplified	amplify	VERB
cana-2483	94	5	for	for	ADP
cana-2483	94	6	accurate	accurate	ADJ
cana-2483	94	7	qrs	qrs	PROPN
cana-2483	94	8	detection	detection	NOUN
cana-2483	94	9	upon	upon	SCONJ
cana-2483	94	10	the	the	DET
cana-2483	94	11	steepest	steep	ADJ
cana-2483	94	12	slopes	slope	NOUN
cana-2483	94	13	.	.	PUNCT
cana-2483	95	1	the	the	DET
cana-2483	95	2	next	next	ADJ
cana-2483	95	3	step	step	NOUN
cana-2483	95	4	is	be	AUX
cana-2483	95	5	to	to	PART
cana-2483	95	6	square	square	VERB
cana-2483	95	7	the	the	DET
cana-2483	95	8	differentiated	differentiated	ADJ
cana-2483	95	9	signal	signal	NOUN
cana-2483	95	10	,	,	PUNCT
cana-2483	95	11	emphasise	emphasise	VERB
cana-2483	95	12	high	high	ADJ
cana-2483	95	13	-	-	PUNCT
cana-2483	95	14	frequency	frequency	NOUN
cana-2483	95	15	components	component	NOUN
cana-2483	95	16	,	,	PUNCT
cana-2483	95	17	and	and	CCONJ
cana-2483	95	18	make	make	VERB
cana-2483	95	19	the	the	DET
cana-2483	95	20	qrs	qrs	NOUN
cana-2483	95	21	complex	complex	ADJ
cana-2483	95	22	690	690	NUM
cana-2483	95	23	vol	vol	NOUN
cana-2483	95	24	32	32	NUM
cana-2483	95	25	no	no	NOUN
cana-2483	95	26	.	.	NOUN
cana-2483	95	27	3	3	NUM
cana-2483	95	28	(	(	PUNCT
cana-2483	95	29	2025	2025	NUM
cana-2483	95	30	)	)	PUNCT
cana-2483	95	31	communications	communication	NOUN
cana-2483	95	32	on	on	ADP
cana-2483	95	33	applied	apply	VERB
cana-2483	95	34	nonlinear	nonlinear	ADJ
cana-2483	95	35	analysis	analysis	NOUN
cana-2483	95	36	issn	issn	NOUN
cana-2483	95	37	:	:	PUNCT
cana-2483	95	38	1074	1074	NUM
cana-2483	95	39	-	-	PUNCT
cana-2483	95	40	133x	133x	PROPN
cana-2483	95	41	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	95	42	more	more	ADV
cana-2483	95	43	visible	visible	ADJ
cana-2483	95	44	.	.	PUNCT
cana-2483	96	1	next	next	ADV
cana-2483	96	2	,	,	PUNCT
cana-2483	96	3	a	a	DET
cana-2483	96	4	moving	move	VERB
cana-2483	96	5	window	window	NOUN
cana-2483	96	6	integration	integration	NOUN
cana-2483	96	7	technique	technique	NOUN
cana-2483	96	8	with	with	ADP
cana-2483	96	9	a	a	DET
cana-2483	96	10	duration	duration	NOUN
cana-2483	96	11	of	of	ADP
cana-2483	96	12	150	150	NUM
cana-2483	96	13	milliseconds	millisecond	NOUN
cana-2483	96	14	is	be	AUX
cana-2483	96	15	employed	employ	VERB
cana-2483	96	16	to	to	ADP
cana-2483	96	17	the	the	DET
cana-2483	96	18	squared	square	VERB
cana-2483	96	19	signal	signal	NOUN
cana-2483	96	20	to	to	PART
cana-2483	96	21	smooth	smooth	VERB
cana-2483	96	22	the	the	DET
cana-2483	96	23	signal	signal	NOUN
cana-2483	96	24	,	,	PUNCT
cana-2483	96	25	removing	remove	VERB
cana-2483	96	26	noise	noise	NOUN
cana-2483	96	27	while	while	SCONJ
cana-2483	96	28	preserving	preserve	VERB
cana-2483	96	29	qrs	qrs	PROPN
cana-2483	96	30	characteristics	characteristic	NOUN
cana-2483	96	31	.	.	PUNCT
cana-2483	97	1	we	we	PRON
cana-2483	97	2	then	then	ADV
cana-2483	97	3	define	define	VERB
cana-2483	97	4	an	an	DET
cana-2483	97	5	adaptive	adaptive	ADJ
cana-2483	97	6	threshold	threshold	NOUN
cana-2483	97	7	based	base	VERB
cana-2483	97	8	on	on	ADP
cana-2483	97	9	the	the	DET
cana-2483	97	10	mean	mean	ADJ
cana-2483	97	11	value	value	NOUN
cana-2483	97	12	of	of	ADP
cana-2483	97	13	the	the	DET
cana-2483	97	14	integrated	integrate	VERB
cana-2483	97	15	signal	signal	NOUN
cana-2483	97	16	,	,	PUNCT
cana-2483	97	17	scaled	scale	VERB
cana-2483	97	18	between	between	ADP
cana-2483	97	19	0.6	0.6	NUM
cana-2483	97	20	and	and	CCONJ
cana-2483	97	21	0.8	0.8	NUM
cana-2483	97	22	,	,	PUNCT
cana-2483	97	23	to	to	PART
cana-2483	97	24	detect	detect	VERB
cana-2483	97	25	qrs	qrs	NOUN
cana-2483	97	26	complexes	complex	NOUN
cana-2483	97	27	effectively	effectively	ADV
cana-2483	97	28	.	.	PUNCT
cana-2483	98	1	this	this	DET
cana-2483	98	2	threshold	threshold	NOUN
cana-2483	98	3	is	be	AUX
cana-2483	98	4	then	then	ADV
cana-2483	98	5	adapted	adapt	VERB
cana-2483	98	6	to	to	ADP
cana-2483	98	7	variations	variation	NOUN
cana-2483	98	8	in	in	ADP
cana-2483	98	9	signal	signal	ADJ
cana-2483	98	10	amplitude	amplitude	NOUN
cana-2483	98	11	leading	lead	VERB
cana-2483	98	12	to	to	ADP
cana-2483	98	13	different	different	ADJ
cana-2483	98	14	heart	heart	NOUN
cana-2483	98	15	rates	rate	NOUN
cana-2483	98	16	and	and	CCONJ
cana-2483	98	17	physiological	physiological	ADJ
cana-2483	98	18	conditions	condition	NOUN
cana-2483	98	19	to	to	PART
cana-2483	98	20	improve	improve	VERB
cana-2483	98	21	detection	detection	NOUN
cana-2483	98	22	reliability	reliability	NOUN
cana-2483	98	23	.	.	PUNCT
cana-2483	99	1	finally	finally	ADV
cana-2483	99	2	,	,	PUNCT
cana-2483	99	3	qrs	qrs	PROPN
cana-2483	99	4	complexes	complex	NOUN
cana-2483	99	5	are	be	AUX
cana-2483	99	6	validated	validate	VERB
cana-2483	99	7	because	because	SCONJ
cana-2483	99	8	the	the	DET
cana-2483	99	9	integrated	integrate	VERB
cana-2483	99	10	signal	signal	NOUN
cana-2483	99	11	crosses	cross	VERB
cana-2483	99	12	the	the	DET
cana-2483	99	13	adaptive	adaptive	ADJ
cana-2483	99	14	threshold	threshold	NOUN
cana-2483	99	15	and	and	CCONJ
cana-2483	99	16	allows	allow	VERB
cana-2483	99	17	accurate	accurate	ADJ
cana-2483	99	18	ecg	ecg	PROPN
cana-2483	99	19	analysis	analysis	NOUN
cana-2483	99	20	.	.	PUNCT
cana-2483	100	1	3.3.3	3.3.3	NUM
cana-2483	100	2	peak	peak	NOUN
cana-2483	100	3	amplitudes	amplitude	NOUN
cana-2483	100	4	of	of	ADP
cana-2483	100	5	the	the	DET
cana-2483	100	6	p	p	PROPN
cana-2483	100	7	wave	wave	NOUN
cana-2483	100	8	,	,	PUNCT
cana-2483	100	9	qrs	qrs	PROPN
cana-2483	100	10	complex	complex	NOUN
cana-2483	100	11	,	,	PUNCT
cana-2483	100	12	and	and	CCONJ
cana-2483	100	13	t	t	PROPN
cana-2483	100	14	wave	wave	VERB
cana-2483	100	15	a	a	DET
cana-2483	100	16	segmented	segment	VERB
cana-2483	100	17	ecg	ecg	PROPN
cana-2483	100	18	signal	signal	NOUN
cana-2483	100	19	can	can	AUX
cana-2483	100	20	extract	extract	VERB
cana-2483	100	21	amplitude	amplitude	NOUN
cana-2483	100	22	-	-	PUNCT
cana-2483	100	23	based	base	VERB
cana-2483	100	24	characteristics	characteristic	NOUN
cana-2483	100	25	by	by	ADP
cana-2483	100	26	measuring	measure	VERB
cana-2483	100	27	the	the	DET
cana-2483	100	28	amplitude	amplitude	NOUN
cana-2483	100	29	attributes	attribute	NOUN
cana-2483	100	30	of	of	ADP
cana-2483	100	31	p	p	NOUN
cana-2483	100	32	waves	wave	NOUN
cana-2483	100	33	,	,	PUNCT
cana-2483	100	34	qrs	qrs	PROPN
cana-2483	100	35	complexes	complex	NOUN
cana-2483	100	36	,	,	PUNCT
cana-2483	100	37	and	and	CCONJ
cana-2483	100	38	t	t	PROPN
cana-2483	100	39	waves	wave	NOUN
cana-2483	100	40	.	.	PUNCT
cana-2483	101	1	the	the	DET
cana-2483	101	2	features	feature	NOUN
cana-2483	101	3	provide	provide	VERB
cana-2483	101	4	insight	insight	NOUN
cana-2483	101	5	into	into	ADP
cana-2483	101	6	the	the	DET
cana-2483	101	7	ecg	ecg	PROPN
cana-2483	101	8	waveform	waveform	VERB
cana-2483	101	9	morphologies	morphology	NOUN
cana-2483	101	10	and	and	CCONJ
cana-2483	101	11	can	can	AUX
cana-2483	101	12	be	be	AUX
cana-2483	101	13	used	use	VERB
cana-2483	101	14	to	to	PART
cana-2483	101	15	diagnose	diagnose	VERB
cana-2483	101	16	cardiac	cardiac	ADJ
cana-2483	101	17	disorders	disorder	NOUN
cana-2483	101	18	.	.	PUNCT
cana-2483	102	1	a	a	DET
cana-2483	102	2	step	step	NOUN
cana-2483	102	3	-	-	PUNCT
cana-2483	102	4	by	by	ADP
cana-2483	102	5	-	-	PUNCT
cana-2483	102	6	step	step	NOUN
cana-2483	102	7	guide	guide	NOUN
cana-2483	102	8	is	be	AUX
cana-2483	102	9	presented	present	VERB
cana-2483	102	10	for	for	ADP
cana-2483	102	11	calculating	calculate	VERB
cana-2483	102	12	these	these	DET
cana-2483	102	13	features	feature	NOUN
cana-2483	102	14	:	:	PUNCT
cana-2483	102	15	peak	peak	NOUN
cana-2483	102	16	value	value	NOUN
cana-2483	102	17	before	before	SCONJ
cana-2483	102	18	the	the	DET
cana-2483	102	19	qrs	qrs	PROPN
cana-2483	102	20	complex	complex	NOUN
cana-2483	102	21	is	be	AUX
cana-2483	102	22	used	use	VERB
cana-2483	102	23	to	to	PART
cana-2483	102	24	determine	determine	VERB
cana-2483	102	25	the	the	DET
cana-2483	102	26	p	p	PROPN
cana-2483	102	27	wave	wave	NOUN
cana-2483	102	28	amplitude	amplitude	NOUN
cana-2483	102	29	,	,	PUNCT
cana-2483	102	30	the	the	DET
cana-2483	102	31	qrs	qrs	PROPN
cana-2483	102	32	complex	complex	ADJ
cana-2483	102	33	amplitude	amplitude	NOUN
cana-2483	102	34	is	be	AUX
cana-2483	102	35	determined	determine	VERB
cana-2483	102	36	by	by	ADP
cana-2483	102	37	the	the	DET
cana-2483	102	38	difference	difference	NOUN
cana-2483	102	39	between	between	ADP
cana-2483	102	40	the	the	DET
cana-2483	102	41	r	r	NOUN
cana-2483	102	42	peak	peak	NOUN
cana-2483	102	43	and	and	CCONJ
cana-2483	102	44	the	the	DET
cana-2483	102	45	minimum	minimum	ADJ
cana-2483	102	46	values	value	NOUN
cana-2483	102	47	at	at	ADP
cana-2483	102	48	the	the	DET
cana-2483	102	49	q	q	NOUN
cana-2483	102	50	or	or	CCONJ
cana-2483	102	51	s	s	NOUN
cana-2483	102	52	points	point	NOUN
cana-2483	102	53	,	,	PUNCT
cana-2483	102	54	and	and	CCONJ
cana-2483	102	55	the	the	DET
cana-2483	102	56	t	t	PROPN
cana-2483	102	57	wave	wave	NOUN
cana-2483	102	58	amplitude	amplitude	NOUN
cana-2483	102	59	is	be	AUX
cana-2483	102	60	determined	determine	VERB
cana-2483	102	61	by	by	ADP
cana-2483	102	62	peak	peak	NOUN
cana-2483	102	63	value	value	NOUN
cana-2483	102	64	after	after	ADP
cana-2483	102	65	the	the	DET
cana-2483	102	66	qrs	qrs	PROPN
cana-2483	102	67	complex	complex	PROPN
cana-2483	102	68	.	.	PUNCT
cana-2483	103	1	the	the	DET
cana-2483	103	2	detected	detect	VERB
cana-2483	103	3	waves	wave	NOUN
cana-2483	103	4	in	in	ADP
cana-2483	103	5	the	the	DET
cana-2483	103	6	ecg	ecg	PROPN
cana-2483	103	7	signal	signal	NOUN
cana-2483	103	8	are	be	AUX
cana-2483	103	9	shown	show	VERB
cana-2483	103	10	in	in	ADP
cana-2483	103	11	figure	figure	NOUN
cana-2483	103	12	3	3	NUM
cana-2483	103	13	.	.	PUNCT
cana-2483	103	14	figure	figure	NOUN
cana-2483	103	15	.	.	PUNCT
cana-2483	104	1	3	3	NUM
cana-2483	104	2	detected	detect	VERB
cana-2483	104	3	waves	wave	NOUN
cana-2483	104	4	from	from	ADP
cana-2483	104	5	the	the	DET
cana-2483	104	6	ecg	ecg	PROPN
cana-2483	104	7	signal	signal	NOUN
cana-2483	104	8	however	however	ADV
cana-2483	104	9	,	,	PUNCT
cana-2483	104	10	when	when	SCONJ
cana-2483	104	11	these	these	DET
cana-2483	104	12	extracted	extract	VERB
cana-2483	104	13	features	feature	NOUN
cana-2483	104	14	are	be	AUX
cana-2483	104	15	used	use	VERB
cana-2483	104	16	,	,	PUNCT
cana-2483	104	17	they	they	PRON
cana-2483	104	18	yield	yield	VERB
cana-2483	104	19	specific	specific	ADJ
cana-2483	104	20	amplitude	amplitude	NOUN
cana-2483	104	21	values	value	NOUN
cana-2483	104	22	for	for	ADP
cana-2483	104	23	the	the	DET
cana-2483	104	24	p	p	PROPN
cana-2483	104	25	wave	wave	NOUN
cana-2483	104	26	,	,	PUNCT
cana-2483	104	27	qrs	qrs	PROPN
cana-2483	104	28	complex	complex	PROPN
cana-2483	104	29	and	and	CCONJ
cana-2483	104	30	t	t	NOUN
cana-2483	104	31	wave	wave	NOUN
cana-2483	104	32	that	that	PRON
cana-2483	104	33	can	can	AUX
cana-2483	104	34	be	be	AUX
cana-2483	104	35	used	use	VERB
cana-2483	104	36	as	as	ADP
cana-2483	104	37	foundational	foundational	ADJ
cana-2483	104	38	input	input	NOUN
cana-2483	104	39	for	for	ADP
cana-2483	104	40	a	a	DET
cana-2483	104	41	sophisticated	sophisticated	ADJ
cana-2483	104	42	machine	machine	NOUN
cana-2483	104	43	learning	learn	VERB
cana-2483	104	44	algorithm	algorithm	NOUN
cana-2483	104	45	or	or	CCONJ
cana-2483	104	46	can	can	AUX
cana-2483	104	47	be	be	AUX
cana-2483	104	48	subjected	subject	VERB
cana-2483	104	49	to	to	ADP
cana-2483	104	50	a	a	DET
cana-2483	104	51	complete	complete	ADJ
cana-2483	104	52	range	range	NOUN
cana-2483	104	53	of	of	ADP
cana-2483	104	54	statistical	statistical	ADJ
cana-2483	104	55	analysis	analysis	NOUN
cana-2483	104	56	for	for	ADP
cana-2483	104	57	a	a	DET
cana-2483	104	58	clinical	clinical	ADJ
cana-2483	104	59	diagnosis	diagnosis	NOUN
cana-2483	104	60	.	.	PUNCT
cana-2483	105	1	serious	serious	ADJ
cana-2483	105	2	studies	study	NOUN
cana-2483	105	3	are	be	AUX
cana-2483	105	4	essential	essential	ADJ
cana-2483	105	5	to	to	PART
cana-2483	105	6	identify	identify	VERB
cana-2483	105	7	cardiac	cardiac	ADJ
cana-2483	105	8	abnormalities	abnormality	NOUN
cana-2483	105	9	,	,	PUNCT
cana-2483	105	10	either	either	CCONJ
cana-2483	105	11	aortic	aortic	ADJ
cana-2483	105	12	stenosis	stenosis	NOUN
cana-2483	105	13	or	or	CCONJ
cana-2483	105	14	conditions	condition	NOUN
cana-2483	105	15	that	that	PRON
cana-2483	105	16	can	can	AUX
cana-2483	105	17	pressure	pressure	VERB
cana-2483	105	18	patient	patient	ADJ
cana-2483	105	19	health	health	NOUN
cana-2483	105	20	and	and	CCONJ
cana-2483	105	21	treatment	treatment	NOUN
cana-2483	105	22	outcomes	outcome	NOUN
cana-2483	105	23	.	.	PUNCT
cana-2483	106	1	consequently	consequently	ADV
cana-2483	106	2	,	,	PUNCT
cana-2483	106	3	the	the	DET
cana-2483	106	4	design	design	NOUN
cana-2483	106	5	of	of	ADP
cana-2483	106	6	the	the	DET
cana-2483	106	7	overall	overall	ADJ
cana-2483	106	8	framework	framework	NOUN
cana-2483	106	9	of	of	ADP
cana-2483	106	10	cardiac	cardiac	ADJ
cana-2483	106	11	diagnostics	diagnostic	NOUN
cana-2483	106	12	and	and	CCONJ
cana-2483	106	13	research	research	NOUN
cana-2483	106	14	hinges	hinge	NOUN
cana-2483	106	15	on	on	ADP
cana-2483	106	16	the	the	DET
cana-2483	106	17	thoughtful	thoughtful	ADJ
cana-2483	106	18	extraction	extraction	NOUN
cana-2483	106	19	and	and	CCONJ
cana-2483	106	20	interpretation	interpretation	NOUN
cana-2483	106	21	of	of	ADP
cana-2483	106	22	these	these	DET
cana-2483	106	23	amplitude	amplitude	NOUN
cana-2483	106	24	-	-	PUNCT
cana-2483	106	25	based	base	VERB
cana-2483	106	26	features	feature	NOUN
cana-2483	106	27	.	.	PUNCT
cana-2483	107	1	p_amplitude	p_amplitude	VERB
cana-2483	107	2	,	,	PUNCT
cana-2483	107	3	qrs_amplitude	qrs_amplitude	ADJ
cana-2483	107	4	and	and	CCONJ
cana-2483	107	5	t_amplitude	t_amplitude	NOUN
cana-2483	107	6	are	be	AUX
cana-2483	107	7	computed	compute	VERB
cana-2483	107	8	by	by	ADP
cana-2483	107	9	equations	equation	NOUN
cana-2483	107	10	(	(	PUNCT
cana-2483	107	11	1	1	NUM
cana-2483	107	12	)	)	PUNCT
cana-2483	107	13	,	,	PUNCT
cana-2483	107	14	(	(	PUNCT
cana-2483	107	15	2	2	NUM
cana-2483	107	16	)	)	PUNCT
cana-2483	107	17	,	,	PUNCT
cana-2483	107	18	and	and	CCONJ
cana-2483	107	19	(	(	PUNCT
cana-2483	107	20	3	3	NUM
cana-2483	107	21	)	)	PUNCT
cana-2483	107	22	,	,	PUNCT
cana-2483	107	23	respectively	respectively	ADV
cana-2483	107	24	.	.	PUNCT
cana-2483	108	1	𝑃_amplitude	𝑃_amplitude	PUNCT
cana-2483	109	1	=	=	PUNCT
cana-2483	109	2	ecg[𝑃peak	ecg[𝑃peak	NOUN
cana-2483	109	3	]	]	PUNCT
cana-2483	109	4	−	−	PROPN
cana-2483	109	5	ecg[𝑃start	ecg[𝑃start	X
cana-2483	109	6	]	]	PUNCT
cana-2483	109	7	(	(	PUNCT
cana-2483	109	8	1	1	X
cana-2483	109	9	)	)	PUNCT
cana-2483	109	10	qrs_amplitude	qrs_amplitude	NOUN
cana-2483	109	11	=	=	SYM
cana-2483	109	12	ecg⁡[𝑅peak	ecg⁡[𝑅peak	X
cana-2483	109	13	]	]	PUNCT
cana-2483	109	14	−	−	PROPN
cana-2483	109	15	𝑚𝑖𝑛(ecg⁡[𝑄point	𝑚𝑖𝑛(ecg⁡[𝑄point	NOUN
cana-2483	109	16	]	]	X
cana-2483	109	17	,	,	PUNCT
cana-2483	109	18	ecg[𝑆point	ecg[𝑆point	NOUN
cana-2483	109	19	]	]	X
cana-2483	109	20	)	)	PUNCT
cana-2483	109	21	(	(	PUNCT
cana-2483	109	22	2	2	X
cana-2483	109	23	)	)	PUNCT
cana-2483	109	24	t_amplitude	t_amplitude	NOUN
cana-2483	109	25	=	=	PRON
cana-2483	109	26	ecg⁡[𝑇peak	ecg⁡[𝑇peak	VERB
cana-2483	109	27	]	]	PUNCT
cana-2483	109	28	−	−	PROPN
cana-2483	110	1	ecg[𝑇start	ecg[𝑇start	X
cana-2483	110	2	]	]	X
cana-2483	110	3	(	(	PUNCT
cana-2483	110	4	3	3	X
cana-2483	110	5	)	)	PUNCT
cana-2483	110	6	3.3.4	3.3.4	NUM
cana-2483	110	7	frequency	frequency	NOUN
cana-2483	110	8	domain	domain	NOUN
cana-2483	110	9	features	feature	VERB
cana-2483	110	10	frequency	frequency	NOUN
cana-2483	110	11	domain	domain	NOUN
cana-2483	110	12	features	feature	NOUN
cana-2483	110	13	play	play	VERB
cana-2483	110	14	a	a	DET
cana-2483	110	15	crucial	crucial	ADJ
cana-2483	110	16	role	role	NOUN
cana-2483	110	17	in	in	ADP
cana-2483	110	18	comprehensively	comprehensively	ADV
cana-2483	110	19	understanding	understand	VERB
cana-2483	110	20	the	the	DET
cana-2483	110	21	spectral	spectral	ADJ
cana-2483	110	22	characteristics	characteristic	NOUN
cana-2483	110	23	of	of	ADP
cana-2483	110	24	electrocardiogram	electrocardiogram	NOUN
cana-2483	110	25	(	(	PUNCT
cana-2483	110	26	ecg	ecg	PROPN
cana-2483	110	27	)	)	PUNCT
cana-2483	110	28	signals	signal	NOUN
cana-2483	110	29	.	.	PUNCT
cana-2483	111	1	using	use	VERB
cana-2483	111	2	the	the	DET
cana-2483	111	3	fourier	fourier	NOUN
cana-2483	111	4	transform	transform	NOUN
cana-2483	111	5	,	,	PUNCT
cana-2483	111	6	we	we	PRON
cana-2483	111	7	effectively	effectively	ADV
cana-2483	111	8	decompose	decompose	VERB
cana-2483	111	9	the	the	DET
cana-2483	111	10	time	time	NOUN
cana-2483	111	11	domain	domain	NOUN
cana-2483	111	12	ecg	ecg	PROPN
cana-2483	111	13	signal	signal	NOUN
cana-2483	111	14	into	into	ADP
cana-2483	111	15	its	its	PRON
cana-2483	111	16	constituent	constituent	ADJ
cana-2483	111	17	frequency	frequency	NOUN
cana-2483	111	18	components	component	NOUN
cana-2483	111	19	.	.	PUNCT
cana-2483	112	1	we	we	PRON
cana-2483	112	2	can	can	AUX
cana-2483	112	3	analyse	analyse	VERB
cana-2483	112	4	the	the	DET
cana-2483	112	5	spectral	spectral	ADJ
cana-2483	112	6	power	power	NOUN
cana-2483	112	7	and	and	CCONJ
cana-2483	112	8	energy	energy	NOUN
cana-2483	112	9	distribution	distribution	NOUN
cana-2483	112	10	across	across	ADP
cana-2483	112	11	different	different	ADJ
cana-2483	112	12	frequency	frequency	NOUN
cana-2483	112	13	bands	band	NOUN
cana-2483	112	14	.	.	PUNCT
cana-2483	113	1	this	this	DET
cana-2483	113	2	analysis	analysis	NOUN
cana-2483	113	3	is	be	AUX
cana-2483	113	4	very	very	ADV
cana-2483	113	5	691	691	NUM
cana-2483	113	6	vol	vol	NOUN
cana-2483	113	7	32	32	NUM
cana-2483	113	8	no	no	NOUN
cana-2483	113	9	.	.	NOUN
cana-2483	113	10	3	3	NUM
cana-2483	113	11	(	(	PUNCT
cana-2483	113	12	2025	2025	NUM
cana-2483	113	13	)	)	PUNCT
cana-2483	113	14	communications	communication	NOUN
cana-2483	113	15	on	on	ADP
cana-2483	113	16	applied	apply	VERB
cana-2483	113	17	nonlinear	nonlinear	ADJ
cana-2483	113	18	analysis	analysis	NOUN
cana-2483	113	19	issn	issn	NOUN
cana-2483	113	20	:	:	PUNCT
cana-2483	113	21	1074	1074	NUM
cana-2483	113	22	-	-	PUNCT
cana-2483	113	23	133x	133x	PROPN
cana-2483	113	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	113	25	useful	useful	ADJ
cana-2483	113	26	for	for	ADP
cana-2483	113	27	detecting	detect	VERB
cana-2483	113	28	and	and	CCONJ
cana-2483	113	29	diagnosing	diagnose	VERB
cana-2483	113	30	cardiac	cardiac	ADJ
cana-2483	113	31	abnormalities	abnormality	NOUN
cana-2483	113	32	,	,	PUNCT
cana-2483	113	33	such	such	ADJ
cana-2483	113	34	as	as	ADP
cana-2483	113	35	aortic	aortic	ADJ
cana-2483	113	36	stenosis	stenosis	NOUN
cana-2483	113	37	,	,	PUNCT
cana-2483	113	38	which	which	PRON
cana-2483	113	39	can	can	AUX
cana-2483	113	40	show	show	VERB
cana-2483	113	41	up	up	ADP
cana-2483	113	42	as	as	ADV
cana-2483	113	43	particular	particular	ADJ
cana-2483	113	44	changes	change	NOUN
cana-2483	113	45	in	in	ADP
cana-2483	113	46	the	the	DET
cana-2483	113	47	frequency	frequency	NOUN
cana-2483	113	48	spectrum	spectrum	NOUN
cana-2483	113	49	of	of	ADP
cana-2483	113	50	the	the	DET
cana-2483	113	51	ecg	ecg	PROPN
cana-2483	113	52	.	.	PROPN
cana-2483	113	53	3.3.5	3.3.5	NUM
cana-2483	113	54	fast	fast	ADJ
cana-2483	113	55	fourier	fourier	NOUN
cana-2483	113	56	transform	transform	NOUN
cana-2483	113	57	(	(	PUNCT
cana-2483	113	58	fft	fft	PROPN
cana-2483	113	59	)	)	PUNCT
cana-2483	113	60	this	this	DET
cana-2483	113	61	study	study	NOUN
cana-2483	113	62	uses	use	VERB
cana-2483	113	63	the	the	DET
cana-2483	113	64	fast	fast	ADJ
cana-2483	113	65	fourier	fourier	NOUN
cana-2483	113	66	transform	transform	NOUN
cana-2483	113	67	(	(	PUNCT
cana-2483	113	68	fft	fft	PROPN
cana-2483	113	69	)	)	PUNCT
cana-2483	113	70	methodology	methodology	NOUN
cana-2483	113	71	to	to	PART
cana-2483	113	72	convert	convert	VERB
cana-2483	113	73	the	the	DET
cana-2483	113	74	electrocardiogram	electrocardiogram	NOUN
cana-2483	113	75	(	(	PUNCT
cana-2483	113	76	ecg	ecg	PROPN
cana-2483	113	77	)	)	PUNCT
cana-2483	113	78	signal	signal	NOUN
cana-2483	113	79	from	from	ADP
cana-2483	113	80	its	its	PRON
cana-2483	113	81	original	original	ADJ
cana-2483	113	82	time	time	NOUN
cana-2483	113	83	domain	domain	NOUN
cana-2483	113	84	representation	representation	NOUN
cana-2483	113	85	to	to	ADP
cana-2483	113	86	a	a	DET
cana-2483	113	87	more	more	ADV
cana-2483	113	88	analytically	analytically	ADV
cana-2483	113	89	advantageous	advantageous	ADJ
cana-2483	113	90	frequency	frequency	NOUN
cana-2483	113	91	domain	domain	NOUN
cana-2483	113	92	.	.	PUNCT
cana-2483	114	1	in	in	ADP
cana-2483	114	2	fft	fft	PROPN
cana-2483	114	3	,	,	PUNCT
cana-2483	114	4	this	this	DET
cana-2483	114	5	transformation	transformation	NOUN
cana-2483	114	6	process	process	NOUN
cana-2483	114	7	provides	provide	VERB
cana-2483	114	8	critical	critical	ADJ
cana-2483	114	9	insights	insight	NOUN
cana-2483	114	10	into	into	ADP
cana-2483	114	11	the	the	DET
cana-2483	114	12	amplitude	amplitude	NOUN
cana-2483	114	13	characteristics	characteristic	NOUN
cana-2483	114	14	of	of	ADP
cana-2483	114	15	these	these	DET
cana-2483	114	16	frequency	frequency	NOUN
cana-2483	114	17	components	component	NOUN
cana-2483	114	18	picked	pick	VERB
cana-2483	114	19	out	out	ADP
cana-2483	114	20	of	of	ADP
cana-2483	114	21	the	the	DET
cana-2483	114	22	signal	signal	NOUN
cana-2483	114	23	.	.	PUNCT
cana-2483	115	1	it	it	PRON
cana-2483	115	2	provides	provide	VERB
cana-2483	115	3	complete	complete	ADJ
cana-2483	115	4	information	information	NOUN
cana-2483	115	5	on	on	ADP
cana-2483	115	6	the	the	DET
cana-2483	115	7	signal	signal	NOUN
cana-2483	115	8	’s	’s	PART
cana-2483	115	9	behaviour	behaviour	NOUN
cana-2483	115	10	through	through	ADP
cana-2483	115	11	several	several	ADJ
cana-2483	115	12	frequencies	frequency	NOUN
cana-2483	115	13	.	.	PUNCT
cana-2483	116	1	as	as	ADP
cana-2483	116	2	a	a	DET
cana-2483	116	3	result	result	NOUN
cana-2483	116	4	,	,	PUNCT
cana-2483	116	5	integrating	integrate	VERB
cana-2483	116	6	both	both	CCONJ
cana-2483	116	7	amplitude	amplitude	NOUN
cana-2483	116	8	and	and	CCONJ
cana-2483	116	9	phase	phase	NOUN
cana-2483	116	10	data	datum	NOUN
cana-2483	116	11	provided	provide	VERB
cana-2483	116	12	by	by	ADP
cana-2483	116	13	the	the	DET
cana-2483	116	14	fft	fft	PROPN
cana-2483	116	15	provides	provide	VERB
cana-2483	116	16	for	for	ADP
cana-2483	116	17	a	a	DET
cana-2483	116	18	much	much	ADV
cana-2483	116	19	deeper	deep	ADJ
cana-2483	116	20	and	and	CCONJ
cana-2483	116	21	more	more	ADV
cana-2483	116	22	nuanced	nuanced	ADJ
cana-2483	116	23	analysis	analysis	NOUN
cana-2483	116	24	of	of	ADP
cana-2483	116	25	the	the	DET
cana-2483	116	26	ecg	ecg	PROPN
cana-2483	116	27	signal	signal	NOUN
cana-2483	116	28	,	,	PUNCT
cana-2483	116	29	thereby	thereby	ADV
cana-2483	116	30	enabling	enable	VERB
cana-2483	116	31	increased	increase	VERB
cana-2483	116	32	interpretations	interpretation	NOUN
cana-2483	116	33	and	and	CCONJ
cana-2483	116	34	applications	application	NOUN
cana-2483	116	35	in	in	ADP
cana-2483	116	36	cardiovascular	cardiovascular	ADJ
cana-2483	116	37	diagnostics	diagnostic	NOUN
cana-2483	116	38	such	such	ADJ
cana-2483	116	39	as	as	ADP
cana-2483	116	40	aortic	aortic	ADJ
cana-2483	116	41	stenosis	stenosis	NOUN
cana-2483	116	42	.	.	PUNCT
cana-2483	117	1	𝑋(𝑓	𝑋(𝑓	VERB
cana-2483	117	2	)	)	PUNCT
cana-2483	117	3	=	=	SYM
cana-2483	117	4	∑	∑	PUNCT
cana-2483	117	5	 	 	SPACE
cana-2483	117	6	𝑁−1	𝑁−1	PROPN
cana-2483	117	7	𝑛=0	𝑛=0	PROPN
cana-2483	117	8	𝑥(𝑛	𝑥(𝑛	PROPN
cana-2483	117	9	)	)	PUNCT
cana-2483	117	10	⋅	⋅	PROPN
cana-2483	117	11	𝑒−𝑗2𝜋𝑓𝑛/𝑁	𝑒−𝑗2𝜋𝑓𝑛/𝑁	NOUN
cana-2483	117	12	(	(	PUNCT
cana-2483	117	13	4	4	NUM
cana-2483	117	14	)	)	PUNCT
cana-2483	117	15	in	in	ADP
cana-2483	117	16	order	order	NOUN
cana-2483	117	17	to	to	PART
cana-2483	117	18	extract	extract	VERB
cana-2483	117	19	the	the	DET
cana-2483	117	20	power	power	NOUN
cana-2483	117	21	spectrum	spectrum	NOUN
cana-2483	117	22	,	,	PUNCT
cana-2483	117	23	all	all	PRON
cana-2483	117	24	that	that	PRON
cana-2483	117	25	needs	need	VERB
cana-2483	117	26	to	to	PART
cana-2483	117	27	be	be	AUX
cana-2483	117	28	carried	carry	VERB
cana-2483	117	29	out	out	ADP
cana-2483	117	30	is	be	AUX
cana-2483	117	31	a	a	DET
cana-2483	117	32	detailed	detailed	ADJ
cana-2483	117	33	analysis	analysis	NOUN
cana-2483	117	34	of	of	ADP
cana-2483	117	35	critical	critical	ADJ
cana-2483	117	36	information	information	NOUN
cana-2483	117	37	concerning	concern	VERB
cana-2483	117	38	the	the	DET
cana-2483	117	39	energy	energy	NOUN
cana-2483	117	40	distribution	distribution	NOUN
cana-2483	117	41	of	of	ADP
cana-2483	117	42	signal	signal	NOUN
cana-2483	117	43	across	across	ADP
cana-2483	117	44	different	different	ADJ
cana-2483	117	45	frequency	frequency	NOUN
cana-2483	117	46	bands	band	NOUN
cana-2483	117	47	to	to	PART
cana-2483	117	48	gain	gain	VERB
cana-2483	117	49	a	a	DET
cana-2483	117	50	total	total	ADJ
cana-2483	117	51	understanding	understanding	NOUN
cana-2483	117	52	of	of	ADP
cana-2483	117	53	the	the	DET
cana-2483	117	54	signal	signal	NOUN
cana-2483	117	55	characteristics	characteristic	NOUN
cana-2483	117	56	.	.	PUNCT
cana-2483	118	1	this	this	DET
cana-2483	118	2	squared	square	VERB
cana-2483	118	3	magnitude	magnitude	NOUN
cana-2483	118	4	of	of	ADP
cana-2483	118	5	the	the	DET
cana-2483	118	6	fast	fast	ADJ
cana-2483	118	7	fourier	fourier	NOUN
cana-2483	118	8	transform	transform	NOUN
cana-2483	118	9	(	(	PUNCT
cana-2483	118	10	fft	fft	PROPN
cana-2483	118	11	)	)	PUNCT
cana-2483	118	12	,	,	PUNCT
cana-2483	118	13	a	a	DET
cana-2483	118	14	commonly	commonly	ADV
cana-2483	118	15	used	use	VERB
cana-2483	118	16	technique	technique	NOUN
cana-2483	118	17	to	to	PART
cana-2483	118	18	transform	transform	VERB
cana-2483	118	19	the	the	DET
cana-2483	118	20	signal	signal	NOUN
cana-2483	118	21	from	from	ADP
cana-2483	118	22	the	the	DET
cana-2483	118	23	time	time	NOUN
cana-2483	118	24	domain	domain	NOUN
cana-2483	118	25	to	to	ADP
cana-2483	118	26	the	the	DET
cana-2483	118	27	frequency	frequency	NOUN
cana-2483	118	28	domain	domain	NOUN
cana-2483	118	29	,	,	PUNCT
cana-2483	118	30	hence	hence	ADV
cana-2483	118	31	yields	yield	VERB
cana-2483	118	32	more	more	ADJ
cana-2483	118	33	insight	insight	NOUN
cana-2483	118	34	into	into	ADP
cana-2483	118	35	the	the	DET
cana-2483	118	36	behaviour	behaviour	NOUN
cana-2483	118	37	of	of	ADP
cana-2483	118	38	the	the	DET
cana-2483	118	39	signal	signal	NOUN
cana-2483	118	40	.	.	PUNCT
cana-2483	119	1	is	be	AUX
cana-2483	119	2	this	this	DET
cana-2483	119	3	power	power	NOUN
cana-2483	119	4	spectrum	spectrum	NOUN
cana-2483	119	5	or	or	CCONJ
cana-2483	119	6	,	,	PUNCT
cana-2483	119	7	mathematically	mathematically	ADV
cana-2483	119	8	speaking	speak	VERB
cana-2483	119	9	?	?	PUNCT
cana-2483	120	1	with	with	ADP
cana-2483	120	2	the	the	DET
cana-2483	120	3	assumption	assumption	NOUN
cana-2483	120	4	that	that	SCONJ
cana-2483	120	5	the	the	DET
cana-2483	120	6	spectra	spectra	NOUN
cana-2483	120	7	are	be	AUX
cana-2483	120	8	stationary	stationary	ADJ
cana-2483	120	9	and	and	CCONJ
cana-2483	120	10	the	the	DET
cana-2483	120	11	energy	energy	NOUN
cana-2483	120	12	of	of	ADP
cana-2483	120	13	all	all	DET
cana-2483	120	14	frequencies	frequency	NOUN
cana-2483	120	15	is	be	AUX
cana-2483	120	16	allocated	allocate	VERB
cana-2483	120	17	at	at	ADP
cana-2483	120	18	near	near	ADP
cana-2483	120	19	the	the	DET
cana-2483	120	20	same	same	ADJ
cana-2483	120	21	ratio	ratio	NOUN
cana-2483	120	22	among	among	ADP
cana-2483	120	23	all	all	DET
cana-2483	120	24	frequencies	frequency	NOUN
cana-2483	120	25	,	,	PUNCT
cana-2483	120	26	this	this	PRON
cana-2483	120	27	provides	provide	VERB
cana-2483	120	28	a	a	DET
cana-2483	120	29	means	means	NOUN
cana-2483	120	30	to	to	PART
cana-2483	120	31	infer	infer	VERB
cana-2483	120	32	how	how	SCONJ
cana-2483	120	33	this	this	DET
cana-2483	120	34	energy	energy	NOUN
cana-2483	120	35	is	be	AUX
cana-2483	120	36	allocated	allocate	VERB
cana-2483	120	37	across	across	ADP
cana-2483	120	38	different	different	ADJ
cana-2483	120	39	frequencies	frequency	NOUN
cana-2483	120	40	and	and	CCONJ
cana-2483	120	41	,	,	PUNCT
cana-2483	120	42	therefore	therefore	ADV
cana-2483	120	43	,	,	PUNCT
cana-2483	120	44	interpret	interpret	VERB
cana-2483	120	45	how	how	SCONJ
cana-2483	120	46	energy	energy	NOUN
cana-2483	120	47	is	be	AUX
cana-2483	120	48	expended	expend	VERB
cana-2483	120	49	across	across	ADP
cana-2483	120	50	different	different	ADJ
cana-2483	120	51	frequencies	frequency	NOUN
cana-2483	120	52	,	,	PUNCT
cana-2483	120	53	which	which	PRON
cana-2483	120	54	is	be	AUX
cana-2483	120	55	essential	essential	ADJ
cana-2483	120	56	in	in	ADP
cana-2483	120	57	applications	application	NOUN
cana-2483	120	58	from	from	ADP
cana-2483	120	59	telecommunication	telecommunication	NOUN
cana-2483	120	60	to	to	ADP
cana-2483	120	61	the	the	DET
cana-2483	120	62	field	field	NOUN
cana-2483	120	63	of	of	ADP
cana-2483	120	64	audio	audio	ADJ
cana-2483	120	65	engineering	engineering	NOUN
cana-2483	120	66	to	to	ADP
cana-2483	120	67	the	the	DET
cana-2483	120	68	overall	overall	ADJ
cana-2483	120	69	understanding	understanding	NOUN
cana-2483	120	70	of	of	ADP
cana-2483	120	71	the	the	DET
cana-2483	120	72	signal	signal	NOUN
cana-2483	120	73	's	's	PART
cana-2483	120	74	underlying	underlie	VERB
cana-2483	120	75	properties	property	NOUN
cana-2483	120	76	.	.	PUNCT
cana-2483	121	1	power⁡(𝑓	power⁡(𝑓	NOUN
cana-2483	121	2	)	)	PUNCT
cana-2483	121	3	=	=	SYM
cana-2483	121	4	|𝑋(𝑓)|2	|𝑋(𝑓)|2	NOUN
cana-2483	121	5	(	(	PUNCT
cana-2483	121	6	5	5	NUM
cana-2483	121	7	)	)	PUNCT
cana-2483	121	8	when	when	SCONJ
cana-2483	121	9	conducting	conduct	VERB
cana-2483	121	10	a	a	DET
cana-2483	121	11	thorough	thorough	ADJ
cana-2483	121	12	analysis	analysis	NOUN
cana-2483	121	13	of	of	ADP
cana-2483	121	14	electrocardiogram	electrocardiogram	NOUN
cana-2483	121	15	(	(	PUNCT
cana-2483	121	16	ecg	ecg	PROPN
cana-2483	121	17	)	)	PUNCT
cana-2483	121	18	signals	signal	NOUN
cana-2483	121	19	,	,	PUNCT
cana-2483	121	20	it	it	PRON
cana-2483	121	21	is	be	AUX
cana-2483	121	22	essential	essential	ADJ
cana-2483	121	23	to	to	PART
cana-2483	121	24	consider	consider	VERB
cana-2483	121	25	several	several	ADJ
cana-2483	121	26	pivotal	pivotal	ADJ
cana-2483	121	27	frequency	frequency	NOUN
cana-2483	121	28	bands	band	NOUN
cana-2483	121	29	that	that	PRON
cana-2483	121	30	significantly	significantly	ADV
cana-2483	121	31	contribute	contribute	VERB
cana-2483	121	32	to	to	ADP
cana-2483	121	33	the	the	DET
cana-2483	121	34	interpretation	interpretation	NOUN
cana-2483	121	35	of	of	ADP
cana-2483	121	36	cardiac	cardiac	ADJ
cana-2483	121	37	activity	activity	NOUN
cana-2483	121	38	,	,	PUNCT
cana-2483	121	39	which	which	PRON
cana-2483	121	40	include	include	VERB
cana-2483	121	41	the	the	DET
cana-2483	121	42	following	follow	VERB
cana-2483	121	43	categories	category	NOUN
cana-2483	121	44	:	:	PUNCT
cana-2483	121	45	very	very	ADV
cana-2483	121	46	low	low	ADJ
cana-2483	121	47	frequency	frequency	NOUN
cana-2483	121	48	(	(	PUNCT
cana-2483	121	49	vlf	vlf	NOUN
cana-2483	121	50	):	):	PUNCT
cana-2483	121	51	this	this	DET
cana-2483	121	52	frequency	frequency	NOUN
cana-2483	121	53	range	range	NOUN
cana-2483	121	54	is	be	AUX
cana-2483	121	55	0.0033	0.0033	NUM
cana-2483	121	56	to	to	PART
cana-2483	121	57	0.04	0.04	NUM
cana-2483	121	58	hz	hz	NOUN
cana-2483	121	59	,	,	PUNCT
cana-2483	121	60	which	which	PRON
cana-2483	121	61	is	be	AUX
cana-2483	121	62	particularly	particularly	ADV
cana-2483	121	63	important	important	ADJ
cana-2483	121	64	for	for	ADP
cana-2483	121	65	understanding	understand	VERB
cana-2483	121	66	the	the	DET
cana-2483	121	67	heart	heart	NOUN
cana-2483	121	68	's	's	PART
cana-2483	121	69	autonomic	autonomic	ADJ
cana-2483	121	70	regulation	regulation	NOUN
cana-2483	121	71	and	and	CCONJ
cana-2483	121	72	association	association	NOUN
cana-2483	121	73	with	with	ADP
cana-2483	121	74	physiological	physiological	ADJ
cana-2483	121	75	and	and	CCONJ
cana-2483	121	76	pathological	pathological	ADJ
cana-2483	121	77	states	state	NOUN
cana-2483	121	78	.	.	PUNCT
cana-2483	122	1	low	low	ADJ
cana-2483	122	2	frequency	frequency	NOUN
cana-2483	122	3	(	(	PUNCT
cana-2483	122	4	lf	lf	INTJ
cana-2483	122	5	):	):	PUNCT
cana-2483	122	6	this	this	DET
cana-2483	122	7	band	band	NOUN
cana-2483	122	8	extends	extend	VERB
cana-2483	122	9	from	from	ADP
cana-2483	122	10	0.04	0.04	NUM
cana-2483	122	11	to	to	ADP
cana-2483	122	12	0.15	0.15	NUM
cana-2483	122	13	hz	hz	NOUN
cana-2483	122	14	and	and	CCONJ
cana-2483	122	15	is	be	AUX
cana-2483	122	16	critical	critical	ADJ
cana-2483	122	17	in	in	ADP
cana-2483	122	18	reflecting	reflect	VERB
cana-2483	122	19	the	the	DET
cana-2483	122	20	balance	balance	NOUN
cana-2483	122	21	between	between	ADP
cana-2483	122	22	sympathetic	sympathetic	ADJ
cana-2483	122	23	and	and	CCONJ
cana-2483	122	24	parasympathetic	parasympathetic	ADJ
cana-2483	122	25	nervous	nervous	ADJ
cana-2483	122	26	system	system	NOUN
cana-2483	122	27	influences	influence	VERB
cana-2483	122	28	on	on	ADP
cana-2483	122	29	cardiovascular	cardiovascular	ADJ
cana-2483	122	30	health	health	NOUN
cana-2483	122	31	and	and	CCONJ
cana-2483	122	32	function	function	NOUN
cana-2483	122	33	.	.	PUNCT
cana-2483	123	1	high	high	ADJ
cana-2483	123	2	frequency	frequency	NOUN
cana-2483	123	3	(	(	PUNCT
cana-2483	123	4	hf	hf	NOUN
cana-2483	123	5	):	):	PUNCT
cana-2483	123	6	this	this	DET
cana-2483	123	7	frequency	frequency	NOUN
cana-2483	123	8	band	band	NOUN
cana-2483	123	9	is	be	AUX
cana-2483	123	10	predominantly	predominantly	ADV
cana-2483	123	11	due	due	ADJ
cana-2483	123	12	to	to	ADP
cana-2483	123	13	respiratory	respiratory	ADJ
cana-2483	123	14	influences	influence	NOUN
cana-2483	123	15	on	on	ADP
cana-2483	123	16	heart	heart	NOUN
cana-2483	123	17	rate	rate	NOUN
cana-2483	123	18	variability	variability	NOUN
cana-2483	123	19	.	.	PUNCT
cana-2483	124	1	therefore	therefore	ADV
cana-2483	124	2	,	,	PUNCT
cana-2483	124	3	assessing	assess	VERB
cana-2483	124	4	the	the	DET
cana-2483	124	5	overall	overall	ADJ
cana-2483	124	6	autonomic	autonomic	ADJ
cana-2483	124	7	modulation	modulation	NOUN
cana-2483	124	8	of	of	ADP
cana-2483	124	9	cardiac	cardiac	ADJ
cana-2483	124	10	function	function	NOUN
cana-2483	124	11	and	and	CCONJ
cana-2483	124	12	its	its	PRON
cana-2483	124	13	health	health	NOUN
cana-2483	124	14	implications	implication	NOUN
cana-2483	124	15	from	from	ADP
cana-2483	124	16	0.15	0.15	NUM
cana-2483	124	17	to	to	ADP
cana-2483	124	18	0.4	0.4	NUM
cana-2483	124	19	hz	hz	PRON
cana-2483	124	20	is	be	AUX
cana-2483	124	21	essential	essential	ADJ
cana-2483	124	22	.	.	PUNCT
cana-2483	125	1	3.4	3.4	NUM
cana-2483	125	2	extraction	extraction	NOUN
cana-2483	125	3	of	of	ADP
cana-2483	125	4	ecg	ecg	PROPN
cana-2483	125	5	features	feature	NOUN
cana-2483	125	6	related	relate	VERB
cana-2483	125	7	to	to	ADP
cana-2483	125	8	aortic	aortic	ADJ
cana-2483	125	9	stenosis	stenosis	NOUN
cana-2483	125	10	3.4.1	3.4.1	NUM
cana-2483	125	11	left	leave	VERB
cana-2483	125	12	ventricular	ventricular	ADJ
cana-2483	125	13	hypertrophy	hypertrophy	NOUN
cana-2483	125	14	(	(	PUNCT
cana-2483	125	15	lvh	lvh	PROPN
cana-2483	125	16	)	)	PUNCT
cana-2483	125	17	left	leave	VERB
cana-2483	125	18	ventricular	ventricular	ADJ
cana-2483	125	19	hypertrophy	hypertrophy	NOUN
cana-2483	125	20	(	(	PUNCT
cana-2483	125	21	lvh	lvh	PROPN
cana-2483	125	22	)	)	PUNCT
cana-2483	125	23	is	be	AUX
cana-2483	125	24	an	an	DET
cana-2483	125	25	enlargement	enlargement	NOUN
cana-2483	125	26	of	of	ADP
cana-2483	125	27	the	the	DET
cana-2483	125	28	left	left	ADJ
cana-2483	125	29	ventricle	ventricle	NOUN
cana-2483	125	30	,	,	PUNCT
cana-2483	125	31	typically	typically	ADV
cana-2483	125	32	due	due	ADP
cana-2483	125	33	to	to	ADP
cana-2483	125	34	a	a	DET
cana-2483	125	35	cardiovascular	cardiovascular	ADJ
cana-2483	125	36	disorder	disorder	NOUN
cana-2483	125	37	,	,	PUNCT
cana-2483	125	38	such	such	ADJ
cana-2483	125	39	as	as	ADP
cana-2483	125	40	aortic	aortic	ADJ
cana-2483	125	41	stenosis	stenosis	NOUN
cana-2483	125	42	.	.	PUNCT
cana-2483	126	1	in	in	ADP
cana-2483	126	2	response	response	NOUN
cana-2483	126	3	to	to	ADP
cana-2483	126	4	increased	increase	VERB
cana-2483	126	5	workload	workload	NOUN
cana-2483	126	6	demands	demand	NOUN
cana-2483	126	7	,	,	PUNCT
cana-2483	126	8	the	the	DET
cana-2483	126	9	heart	heart	NOUN
cana-2483	126	10	hypertrophies	hypertrophy	NOUN
cana-2483	126	11	are	be	AUX
cana-2483	126	12	more	more	ADV
cana-2483	126	13	robust	robust	ADJ
cana-2483	126	14	and	and	CCONJ
cana-2483	126	15	have	have	VERB
cana-2483	126	16	elevated	elevate	VERB
cana-2483	126	17	electrical	electrical	ADJ
cana-2483	126	18	activity	activity	NOUN
cana-2483	126	19	;	;	PUNCT
cana-2483	126	20	this	this	DET
cana-2483	126	21	hypertrophy	hypertrophy	NOUN
cana-2483	126	22	occurs	occur	VERB
cana-2483	126	23	.	.	PUNCT
cana-2483	127	1	a	a	DET
cana-2483	127	2	narrow	narrow	ADJ
cana-2483	127	3	692	692	NUM
cana-2483	127	4	vol	vol	NOUN
cana-2483	127	5	32	32	NUM
cana-2483	127	6	no	no	NOUN
cana-2483	127	7	.	.	NOUN
cana-2483	127	8	3	3	NUM
cana-2483	127	9	(	(	PUNCT
cana-2483	127	10	2025	2025	NUM
cana-2483	127	11	)	)	PUNCT
cana-2483	127	12	communications	communication	NOUN
cana-2483	127	13	on	on	ADP
cana-2483	127	14	applied	apply	VERB
cana-2483	127	15	nonlinear	nonlinear	ADJ
cana-2483	127	16	analysis	analysis	NOUN
cana-2483	127	17	issn	issn	NOUN
cana-2483	127	18	:	:	PUNCT
cana-2483	127	19	1074	1074	NUM
cana-2483	127	20	-	-	PUNCT
cana-2483	127	21	133x	133x	PROPN
cana-2483	127	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	127	23	aortic	aortic	ADJ
cana-2483	127	24	valve	valve	NOUN
cana-2483	127	25	means	mean	VERB
cana-2483	127	26	that	that	SCONJ
cana-2483	127	27	the	the	DET
cana-2483	127	28	heart	heart	NOUN
cana-2483	127	29	will	will	AUX
cana-2483	127	30	regularly	regularly	ADV
cana-2483	127	31	pump	pump	VERB
cana-2483	127	32	more	more	ADJ
cana-2483	127	33	blood	blood	NOUN
cana-2483	127	34	through	through	ADP
cana-2483	127	35	an	an	DET
cana-2483	127	36	increasingly	increasingly	ADV
cana-2483	127	37	thickened	thicken	VERB
cana-2483	127	38	left	left	ADJ
cana-2483	127	39	ventricle	ventricle	NOUN
cana-2483	127	40	that	that	PRON
cana-2483	127	41	must	must	AUX
cana-2483	127	42	exert	exert	VERB
cana-2483	127	43	more	more	ADJ
cana-2483	127	44	force	force	NOUN
cana-2483	127	45	.	.	PUNCT
cana-2483	128	1	on	on	ADP
cana-2483	128	2	an	an	DET
cana-2483	128	3	electrocardiogram	electrocardiogram	NOUN
cana-2483	128	4	(	(	PUNCT
cana-2483	128	5	ecg	ecg	PROPN
cana-2483	128	6	)	)	PUNCT
cana-2483	128	7	,	,	PUNCT
cana-2483	128	8	we	we	PRON
cana-2483	128	9	can	can	AUX
cana-2483	128	10	see	see	VERB
cana-2483	128	11	that	that	PRON
cana-2483	128	12	with	with	ADP
cana-2483	128	13	this	this	DET
cana-2483	128	14	change	change	NOUN
cana-2483	128	15	,	,	PUNCT
cana-2483	128	16	the	the	DET
cana-2483	128	17	voltage	voltage	NOUN
cana-2483	128	18	in	in	ADP
cana-2483	128	19	the	the	DET
cana-2483	128	20	ecg	ecg	PROPN
cana-2483	128	21	is	be	AUX
cana-2483	128	22	elevated	elevate	VERB
cana-2483	128	23	above	above	ADP
cana-2483	128	24	ordinary	ordinary	ADJ
cana-2483	128	25	,	,	PUNCT
cana-2483	128	26	meaning	mean	VERB
cana-2483	128	27	that	that	SCONJ
cana-2483	128	28	the	the	DET
cana-2483	128	29	heart	heart	NOUN
cana-2483	128	30	is	be	AUX
cana-2483	128	31	working	work	VERB
cana-2483	128	32	harder	hard	ADV
cana-2483	128	33	now	now	ADV
cana-2483	128	34	.	.	PUNCT
cana-2483	129	1	severe	severe	ADJ
cana-2483	129	2	complications	complication	NOUN
cana-2483	129	3	of	of	ADP
cana-2483	129	4	lvh	lvh	PROPN
cana-2483	129	5	include	include	VERB
cana-2483	129	6	arrhythmias	arrhythmia	NOUN
cana-2483	129	7	such	such	ADJ
cana-2483	129	8	as	as	ADP
cana-2483	129	9	aortic	aortic	ADJ
cana-2483	129	10	stenosis	stenosis	NOUN
cana-2483	129	11	,	,	PUNCT
cana-2483	129	12	heart	heart	NOUN
cana-2483	129	13	failure	failure	NOUN
cana-2483	129	14	and	and	CCONJ
cana-2483	129	15	increased	increase	VERB
cana-2483	129	16	risk	risk	NOUN
cana-2483	129	17	of	of	ADP
cana-2483	129	18	cardiovascular	cardiovascular	ADJ
cana-2483	129	19	disease	disease	NOUN
cana-2483	129	20	.	.	PUNCT
cana-2483	130	1	equations	equation	NOUN
cana-2483	130	2	(	(	PUNCT
cana-2483	130	3	6	6	NUM
cana-2483	130	4	)	)	PUNCT
cana-2483	130	5	and	and	CCONJ
cana-2483	130	6	(	(	PUNCT
cana-2483	130	7	7	7	X
cana-2483	130	8	)	)	PUNCT
cana-2483	130	9	show	show	VERB
cana-2483	130	10	the	the	DET
cana-2483	130	11	following	follow	VERB
cana-2483	130	12	methods	method	NOUN
cana-2483	130	13	of	of	ADP
cana-2483	130	14	detecting	detect	VERB
cana-2483	130	15	the	the	DET
cana-2483	130	16	lvh	lvh	PROPN
cana-2483	130	17	.	.	PUNCT
cana-2483	131	1	3.4.1.1	3.4.1.1	NUM
cana-2483	131	2	sokolow	sokolow	PROPN
cana-2483	131	3	-	-	PUNCT
cana-2483	131	4	lyon	lyon	PROPN
cana-2483	131	5	index	index	NOUN
cana-2483	131	6	this	this	DET
cana-2483	131	7	particular	particular	ADJ
cana-2483	131	8	criterion	criterion	NOUN
cana-2483	131	9	is	be	AUX
cana-2483	131	10	based	base	VERB
cana-2483	131	11	on	on	ADP
cana-2483	131	12	the	the	DET
cana-2483	131	13	cumulative	cumulative	ADJ
cana-2483	131	14	total	total	NOUN
cana-2483	131	15	of	of	ADP
cana-2483	131	16	the	the	DET
cana-2483	131	17	amplitudes	amplitude	NOUN
cana-2483	131	18	of	of	ADP
cana-2483	131	19	designated	designate	VERB
cana-2483	131	20	components	component	NOUN
cana-2483	131	21	making	make	VERB
cana-2483	131	22	up	up	ADP
cana-2483	131	23	the	the	DET
cana-2483	131	24	specific	specific	ADJ
cana-2483	131	25	qrs	qrs	NOUN
cana-2483	131	26	complex	complex	NOUN
cana-2483	131	27	,	,	PUNCT
cana-2483	131	28	a	a	DET
cana-2483	131	29	critical	critical	ADJ
cana-2483	131	30	part	part	NOUN
cana-2483	131	31	of	of	ADP
cana-2483	131	32	the	the	DET
cana-2483	131	33	analysis	analysis	NOUN
cana-2483	131	34	of	of	ADP
cana-2483	131	35	electrocardiograms	electrocardiogram	NOUN
cana-2483	131	36	,	,	PUNCT
cana-2483	131	37	to	to	PART
cana-2483	131	38	gain	gain	VERB
cana-2483	131	39	information	information	NOUN
cana-2483	131	40	about	about	ADP
cana-2483	131	41	cardiac	cardiac	ADJ
cana-2483	131	42	electrical	electrical	ADJ
cana-2483	131	43	activity	activity	NOUN
cana-2483	131	44	and	and	CCONJ
cana-2483	131	45	overall	overall	ADJ
cana-2483	131	46	heart	heart	NOUN
cana-2483	131	47	function	function	NOUN
cana-2483	131	48	.	.	PUNCT
cana-2483	132	1	sokolow	sokolow	PROPN
cana-2483	132	2	-	-	PUNCT
cana-2483	132	3	lyon	lyon	PROPN
cana-2483	132	4	index	index	NOUN
cana-2483	132	5	=	=	NOUN
cana-2483	132	6	𝑆v1	𝑆v1	NOUN
cana-2483	132	7	+	+	NUM
cana-2483	132	8	𝑅v5	𝑅v5	NOUN
cana-2483	132	9	or	or	CCONJ
cana-2483	132	10	v6	v6	NOUN
cana-2483	132	11	(	(	PUNCT
cana-2483	132	12	6	6	NUM
cana-2483	132	13	)	)	PUNCT
cana-2483	132	14	where	where	SCONJ
cana-2483	132	15	𝑆v1⁡	𝑆v1⁡	NOUN
cana-2483	132	16	is	be	AUX
cana-2483	132	17	the	the	DET
cana-2483	132	18	s	s	NOUN
cana-2483	132	19	wave	wave	NOUN
cana-2483	132	20	amplitude	amplitude	NOUN
cana-2483	132	21	in	in	ADP
cana-2483	132	22	lead	lead	NOUN
cana-2483	132	23	v1	v1	NOUN
cana-2483	132	24	,	,	PUNCT
cana-2483	132	25	and	and	CCONJ
cana-2483	132	26	𝑅v5	𝑅v5	NOUN
cana-2483	132	27	or	or	CCONJ
cana-2483	132	28	v6⁡is	v6⁡is	DET
cana-2483	132	29	the	the	DET
cana-2483	132	30	r	r	NOUN
cana-2483	132	31	wave	wave	NOUN
cana-2483	132	32	amplitude	amplitude	NOUN
cana-2483	132	33	in	in	ADP
cana-2483	132	34	lead	lead	ADJ
cana-2483	132	35	v5	v5	PROPN
cana-2483	132	36	or	or	CCONJ
cana-2483	132	37	v6	v6	NOUN
cana-2483	132	38	.	.	PUNCT
cana-2483	133	1	threshold	threshold	NOUN
cana-2483	133	2	:	:	PUNCT
cana-2483	133	3	•	•	NUM
cana-2483	133	4	lvh	lvh	PROPN
cana-2483	133	5	is	be	AUX
cana-2483	133	6	suggested	suggest	VERB
cana-2483	133	7	if	if	SCONJ
cana-2483	133	8	the	the	DET
cana-2483	133	9	index	index	NOUN
cana-2483	133	10	is	be	AUX
cana-2483	133	11	greater	great	ADJ
cana-2483	133	12	than	than	ADP
cana-2483	133	13	35	35	NUM
cana-2483	133	14	mm	mm	NOUN
cana-2483	133	15	.	.	PUNCT
cana-2483	134	1	3.4.1.2	3.4.1.2	NUM
cana-2483	134	2	cornell	cornell	NOUN
cana-2483	134	3	voltage	voltage	NOUN
cana-2483	134	4	criteria	criterion	NOUN
cana-2483	134	5	the	the	DET
cana-2483	134	6	cornell	cornell	PROPN
cana-2483	134	7	voltage	voltage	NOUN
cana-2483	134	8	criteria	criterion	NOUN
cana-2483	134	9	combine	combine	VERB
cana-2483	134	10	the	the	DET
cana-2483	134	11	cumulative	cumulative	ADJ
cana-2483	134	12	value	value	NOUN
cana-2483	134	13	of	of	ADP
cana-2483	134	14	the	the	DET
cana-2483	134	15	r	r	NOUN
cana-2483	134	16	wave	wave	NOUN
cana-2483	134	17	in	in	ADP
cana-2483	134	18	lead	lead	ADJ
cana-2483	134	19	avl	avl	PROPN
cana-2483	134	20	with	with	ADP
cana-2483	134	21	the	the	DET
cana-2483	134	22	s	s	PROPN
cana-2483	134	23	wave	wave	NOUN
cana-2483	134	24	in	in	ADP
cana-2483	134	25	lead	lead	ADJ
cana-2483	134	26	v3	v3	PROPN
cana-2483	134	27	to	to	PART
cana-2483	134	28	form	form	VERB
cana-2483	134	29	a	a	DET
cana-2483	134	30	complete	complete	ADJ
cana-2483	134	31	assessment	assessment	NOUN
cana-2483	134	32	of	of	ADP
cana-2483	134	33	cardiac	cardiac	ADJ
cana-2483	134	34	electrical	electrical	ADJ
cana-2483	134	35	activity	activity	NOUN
cana-2483	134	36	.	.	PUNCT
cana-2483	135	1	cornell	cornell	NOUN
cana-2483	135	2	voltage	voltage	NOUN
cana-2483	135	3	=	=	PUNCT
cana-2483	136	1	𝑅avl	𝑅avl	PROPN
cana-2483	136	2	+	+	NUM
cana-2483	136	3	𝑆v3	𝑆v3	NOUN
cana-2483	136	4	(	(	PUNCT
cana-2483	136	5	7	7	X
cana-2483	136	6	)	)	PUNCT
cana-2483	136	7	threshold	threshold	NOUN
cana-2483	136	8	:	:	PUNCT
cana-2483	136	9	•	•	NUM
cana-2483	136	10	lvh	lvh	PROPN
cana-2483	136	11	is	be	AUX
cana-2483	136	12	suggested	suggest	VERB
cana-2483	136	13	if	if	SCONJ
cana-2483	136	14	this	this	DET
cana-2483	136	15	sum	sum	NOUN
cana-2483	136	16	is	be	AUX
cana-2483	136	17	more	more	ADV
cana-2483	136	18	significant	significant	ADJ
cana-2483	136	19	than	than	ADP
cana-2483	136	20	28	28	NUM
cana-2483	136	21	mm	mm	NOUN
cana-2483	136	22	in	in	ADP
cana-2483	136	23	men	man	NOUN
cana-2483	136	24	and	and	CCONJ
cana-2483	136	25	20	20	NUM
cana-2483	136	26	mm	mm	NOUN
cana-2483	136	27	in	in	ADP
cana-2483	136	28	women	woman	NOUN
cana-2483	136	29	.	.	PUNCT
cana-2483	137	1	3.4.2	3.4.2	NUM
cana-2483	137	2	qrs	qrs	NOUN
cana-2483	137	3	duration	duration	NOUN
cana-2483	137	4	and	and	CCONJ
cana-2483	137	5	amplitude	amplitude	NOUN
cana-2483	137	6	in	in	ADP
cana-2483	137	7	lvh	lvh	PROPN
cana-2483	137	8	settings	setting	NOUN
cana-2483	137	9	,	,	PUNCT
cana-2483	137	10	a	a	DET
cana-2483	137	11	prolonged	prolong	VERB
cana-2483	137	12	qrs	qrs	NOUN
cana-2483	137	13	duration	duration	NOUN
cana-2483	137	14	of	of	ADP
cana-2483	137	15	more	more	ADJ
cana-2483	137	16	than	than	ADP
cana-2483	137	17	120	120	NUM
cana-2483	137	18	ms	ms	NOUN
cana-2483	137	19	is	be	AUX
cana-2483	137	20	not	not	PART
cana-2483	137	21	uncommon	uncommon	ADJ
cana-2483	137	22	and	and	CCONJ
cana-2483	137	23	is	be	AUX
cana-2483	137	24	attributed	attribute	VERB
cana-2483	137	25	to	to	ADP
cana-2483	137	26	the	the	DET
cana-2483	137	27	higher	high	ADJ
cana-2483	137	28	muscle	muscle	NOUN
cana-2483	137	29	mass	mass	NOUN
cana-2483	137	30	in	in	ADP
cana-2483	137	31	the	the	DET
cana-2483	137	32	left	left	ADJ
cana-2483	137	33	ventricle	ventricle	NOUN
cana-2483	137	34	.	.	PUNCT
cana-2483	138	1	therefore	therefore	ADV
cana-2483	138	2	,	,	PUNCT
cana-2483	138	3	a	a	DET
cana-2483	138	4	prolongation	prolongation	NOUN
cana-2483	138	5	of	of	ADP
cana-2483	138	6	time	time	NOUN
cana-2483	138	7	is	be	AUX
cana-2483	138	8	needed	need	VERB
cana-2483	138	9	for	for	SCONJ
cana-2483	138	10	the	the	DET
cana-2483	138	11	depolarisation	depolarisation	NOUN
cana-2483	138	12	process	process	NOUN
cana-2483	138	13	to	to	PART
cana-2483	138	14	take	take	VERB
cana-2483	138	15	place	place	NOUN
cana-2483	138	16	effectively	effectively	ADV
cana-2483	138	17	and	and	CCONJ
cana-2483	138	18	efficiently	efficiently	ADV
cana-2483	138	19	.	.	PUNCT
cana-2483	139	1	3.4.3	3.4.3	NUM
cana-2483	139	2	systolic	systolic	ADJ
cana-2483	139	3	and	and	CCONJ
cana-2483	139	4	diastolic	diastolic	ADJ
cana-2483	139	5	abnormalities	abnormality	NOUN
cana-2483	139	6	(	(	PUNCT
cana-2483	139	7	qrs	qrs	PROPN
cana-2483	139	8	complex	complex	PROPN
cana-2483	139	9	and	and	CCONJ
cana-2483	139	10	t	t	NOUN
cana-2483	139	11	waves	wave	NOUN
cana-2483	139	12	)	)	PUNCT
cana-2483	139	13	careful	careful	ADJ
cana-2483	139	14	examination	examination	NOUN
cana-2483	139	15	of	of	ADP
cana-2483	139	16	the	the	DET
cana-2483	139	17	qrs	qrs	PROPN
cana-2483	139	18	complex	complex	NOUN
cana-2483	139	19	and	and	CCONJ
cana-2483	139	20	t	t	PROPN
cana-2483	139	21	wave	wave	NOUN
cana-2483	139	22	patterns	pattern	NOUN
cana-2483	139	23	is	be	AUX
cana-2483	139	24	done	do	VERB
cana-2483	139	25	to	to	PART
cana-2483	139	26	comprehensively	comprehensively	ADV
cana-2483	139	27	analyse	analyse	VERB
cana-2483	139	28	systolic	systolic	ADJ
cana-2483	139	29	and	and	CCONJ
cana-2483	139	30	diastolic	diastolic	ADJ
cana-2483	139	31	abnormalities	abnormality	NOUN
cana-2483	139	32	associated	associate	VERB
cana-2483	139	33	with	with	ADP
cana-2483	139	34	aortic	aortic	ADJ
cana-2483	139	35	stenosis	stenosis	NOUN
cana-2483	139	36	by	by	ADP
cana-2483	139	37	electrocardiogram	electrocardiogram	NOUN
cana-2483	139	38	(	(	PUNCT
cana-2483	139	39	ecg	ecg	PROPN
cana-2483	139	40	)	)	PUNCT
cana-2483	139	41	.	.	PUNCT
cana-2483	140	1	abnormalities	abnormality	NOUN
cana-2483	140	2	in	in	ADP
cana-2483	140	3	these	these	DET
cana-2483	140	4	segments	segment	NOUN
cana-2483	140	5	of	of	ADP
cana-2483	140	6	ecg	ecg	PROPN
cana-2483	140	7	reflect	reflect	VERB
cana-2483	140	8	structural	structural	ADJ
cana-2483	140	9	and	and	CCONJ
cana-2483	140	10	functional	functional	ADJ
cana-2483	140	11	changes	change	NOUN
cana-2483	140	12	of	of	ADP
cana-2483	140	13	the	the	DET
cana-2483	140	14	heart	heart	NOUN
cana-2483	140	15	left	leave	VERB
cana-2483	140	16	ventricular	ventricular	ADJ
cana-2483	140	17	hypertrophy	hypertrophy	NOUN
cana-2483	140	18	(	(	PUNCT
cana-2483	140	19	lvh	lvh	PROPN
cana-2483	140	20	)	)	PUNCT
cana-2483	140	21	and	and	CCONJ
cana-2483	140	22	delayed	delay	VERB
cana-2483	140	23	ventricular	ventricular	ADJ
cana-2483	140	24	repolarisation	repolarisation	NOUN
cana-2483	140	25	due	due	ADP
cana-2483	140	26	to	to	ADP
cana-2483	140	27	increased	increase	VERB
cana-2483	140	28	strain	strain	NOUN
cana-2483	140	29	on	on	ADP
cana-2483	140	30	the	the	DET
cana-2483	140	31	left	left	ADJ
cana-2483	140	32	ventricle	ventricle	NOUN
cana-2483	140	33	,	,	PUNCT
cana-2483	140	34	for	for	ADP
cana-2483	140	35	example	example	NOUN
cana-2483	140	36	.	.	PUNCT
cana-2483	141	1	these	these	DET
cana-2483	141	2	ecg	ecg	PROPN
cana-2483	141	3	manifestations	manifestation	NOUN
cana-2483	141	4	must	must	AUX
cana-2483	141	5	be	be	AUX
cana-2483	141	6	understood	understand	VERB
cana-2483	141	7	to	to	PART
cana-2483	141	8	help	help	VERB
cana-2483	141	9	us	we	PRON
cana-2483	141	10	gain	gain	VERB
cana-2483	141	11	insights	insight	NOUN
cana-2483	141	12	into	into	ADP
cana-2483	141	13	the	the	DET
cana-2483	141	14	pathophysiological	pathophysiological	ADJ
cana-2483	141	15	mechanisms	mechanism	NOUN
cana-2483	141	16	of	of	ADP
cana-2483	141	17	aortic	aortic	ADJ
cana-2483	141	18	stenosis	stenosis	NOUN
cana-2483	141	19	and	and	CCONJ
cana-2483	141	20	changes	change	NOUN
cana-2483	141	21	in	in	ADP
cana-2483	141	22	the	the	DET
cana-2483	141	23	heart	heart	NOUN
cana-2483	141	24	.	.	PUNCT
cana-2483	142	1	3.4.3.1	3.4.3.1	NUM
cana-2483	142	2	qrs	qrs	PROPN
cana-2483	142	3	complex	complex	NOUN
cana-2483	142	4	an	an	DET
cana-2483	142	5	elevation	elevation	NOUN
cana-2483	142	6	in	in	ADP
cana-2483	142	7	the	the	DET
cana-2483	142	8	amplitude	amplitude	NOUN
cana-2483	142	9	of	of	ADP
cana-2483	142	10	the	the	DET
cana-2483	142	11	qrs	qrs	PROPN
cana-2483	142	12	complex	complex	NOUN
cana-2483	142	13	,	,	PUNCT
cana-2483	142	14	or	or	CCONJ
cana-2483	142	15	an	an	DET
cana-2483	142	16	extended	extended	ADJ
cana-2483	142	17	duration	duration	NOUN
cana-2483	142	18	of	of	ADP
cana-2483	142	19	the	the	DET
cana-2483	142	20	qrs	qrs	PROPN
cana-2483	142	21	complex	complex	NOUN
cana-2483	142	22	,	,	PUNCT
cana-2483	142	23	can	can	AUX
cana-2483	142	24	be	be	AUX
cana-2483	142	25	an	an	DET
cana-2483	142	26	important	important	ADJ
cana-2483	142	27	clinical	clinical	ADJ
cana-2483	142	28	indicator	indicator	NOUN
cana-2483	142	29	of	of	ADP
cana-2483	142	30	left	left	ADJ
cana-2483	142	31	ventricular	ventricular	ADJ
cana-2483	142	32	hypertrophy	hypertrophy	NOUN
cana-2483	142	33	,	,	PUNCT
cana-2483	142	34	a	a	DET
cana-2483	142	35	condition	condition	NOUN
cana-2483	142	36	in	in	ADP
cana-2483	142	37	which	which	PRON
cana-2483	142	38	the	the	DET
cana-2483	142	39	walls	wall	NOUN
cana-2483	142	40	of	of	ADP
cana-2483	142	41	the	the	DET
cana-2483	142	42	heart	heart	NOUN
cana-2483	142	43	’s	’s	PART
cana-2483	142	44	left	leave	VERB
cana-2483	142	45	ventricle	ventricle	NOUN
cana-2483	142	46	thicken	thicken	VERB
cana-2483	142	47	in	in	ADP
cana-2483	142	48	response	response	NOUN
cana-2483	142	49	to	to	ADP
cana-2483	142	50	increased	increase	VERB
cana-2483	142	51	workload	workload	NOUN
cana-2483	142	52	or	or	CCONJ
cana-2483	142	53	pressure	pressure	NOUN
cana-2483	142	54	.	.	PUNCT
cana-2483	143	1	additionally	additionally	ADV
cana-2483	143	2	,	,	PUNCT
cana-2483	143	3	suppose	suppose	VERB
cana-2483	143	4	one	one	NUM
cana-2483	143	5	693	693	NUM
cana-2483	143	6	vol	vol	NOUN
cana-2483	143	7	32	32	NUM
cana-2483	143	8	no	no	NOUN
cana-2483	143	9	.	.	NOUN
cana-2483	143	10	3	3	NUM
cana-2483	143	11	(	(	PUNCT
cana-2483	143	12	2025	2025	NUM
cana-2483	143	13	)	)	PUNCT
cana-2483	143	14	communications	communication	NOUN
cana-2483	143	15	on	on	ADP
cana-2483	143	16	applied	apply	VERB
cana-2483	143	17	nonlinear	nonlinear	ADJ
cana-2483	143	18	analysis	analysis	NOUN
cana-2483	143	19	issn	issn	NOUN
cana-2483	143	20	:	:	PUNCT
cana-2483	143	21	1074	1074	NUM
cana-2483	143	22	-	-	PUNCT
cana-2483	143	23	133x	133x	PROPN
cana-2483	143	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	143	25	specifically	specifically	ADV
cana-2483	143	26	observes	observe	VERB
cana-2483	143	27	systolic	systolic	ADJ
cana-2483	143	28	abnormalities	abnormality	NOUN
cana-2483	143	29	in	in	ADP
cana-2483	143	30	the	the	DET
cana-2483	143	31	form	form	NOUN
cana-2483	143	32	of	of	ADP
cana-2483	143	33	notched	notch	VERB
cana-2483	143	34	qrs	qrs	NOUN
cana-2483	143	35	complexes	complex	NOUN
cana-2483	143	36	.	.	PUNCT
cana-2483	144	1	in	in	ADP
cana-2483	144	2	that	that	DET
cana-2483	144	3	case	case	NOUN
cana-2483	144	4	,	,	PUNCT
cana-2483	144	5	these	these	PRON
cana-2483	144	6	may	may	AUX
cana-2483	144	7	suggest	suggest	VERB
cana-2483	144	8	a	a	DET
cana-2483	144	9	significant	significant	ADJ
cana-2483	144	10	delay	delay	NOUN
cana-2483	144	11	in	in	ADP
cana-2483	144	12	conduction	conduction	NOUN
cana-2483	144	13	pathways	pathway	NOUN
cana-2483	144	14	and	and	CCONJ
cana-2483	144	15	strain	strain	VERB
cana-2483	144	16	on	on	ADP
cana-2483	144	17	the	the	DET
cana-2483	144	18	ventricular	ventricular	ADJ
cana-2483	144	19	muscle	muscle	NOUN
cana-2483	144	20	(	(	PUNCT
cana-2483	144	21	which	which	PRON
cana-2483	144	22	may	may	AUX
cana-2483	144	23	reflect	reflect	VERB
cana-2483	144	24	ischemic	ischemic	ADJ
cana-2483	144	25	injury	injury	NOUN
cana-2483	144	26	,	,	PUNCT
cana-2483	144	27	cardiac	cardiac	ADJ
cana-2483	144	28	myopathy	myopathy	ADJ
cana-2483	144	29	,	,	PUNCT
cana-2483	144	30	and	and	CCONJ
cana-2483	144	31	aortic	aortic	ADJ
cana-2483	144	32	stenosis	stenosis	NOUN
cana-2483	144	33	)	)	PUNCT
cana-2483	144	34	.	.	PUNCT
cana-2483	145	1	3.4.3.2	3.4.3.2	NUM
cana-2483	145	2	t	t	PROPN
cana-2483	145	3	wave	wave	NOUN
cana-2483	145	4	absolute	absolute	ADJ
cana-2483	145	5	or	or	CCONJ
cana-2483	145	6	asymmetric	asymmetric	ADJ
cana-2483	145	7	t	t	NOUN
cana-2483	145	8	wave	wave	NOUN
cana-2483	145	9	deflection	deflection	NOUN
cana-2483	145	10	and	and	CCONJ
cana-2483	145	11	decrease	decrease	NOUN
cana-2483	145	12	or	or	CCONJ
cana-2483	145	13	inversion	inversion	NOUN
cana-2483	145	14	often	often	ADV
cana-2483	145	15	indicate	indicate	VERB
cana-2483	145	16	repolarisation	repolarisation	NOUN
cana-2483	145	17	abnormalities	abnormality	NOUN
cana-2483	145	18	associated	associate	VERB
cana-2483	145	19	with	with	ADP
cana-2483	145	20	ventricular	ventricular	ADJ
cana-2483	145	21	strain	strain	NOUN
cana-2483	145	22	and	and	CCONJ
cana-2483	145	23	with	with	ADP
cana-2483	145	24	the	the	DET
cana-2483	145	25	more	more	ADV
cana-2483	145	26	chronic	chronic	ADJ
cana-2483	145	27	iron	iron	NOUN
cana-2483	145	28	deficiency	deficiency	NOUN
cana-2483	145	29	or	or	CCONJ
cana-2483	145	30	ischemic	ischemic	ADJ
cana-2483	145	31	events	event	NOUN
cana-2483	145	32	.	.	PUNCT
cana-2483	146	1	these	these	DET
cana-2483	146	2	abnormalities	abnormality	NOUN
cana-2483	146	3	are	be	AUX
cana-2483	146	4	common	common	ADJ
cana-2483	146	5	in	in	ADP
cana-2483	146	6	conditions	condition	NOUN
cana-2483	146	7	like	like	ADP
cana-2483	146	8	aortic	aortic	ADJ
cana-2483	146	9	stenosis	stenosis	NOUN
cana-2483	146	10	,	,	PUNCT
cana-2483	146	11	where	where	SCONJ
cana-2483	146	12	the	the	DET
cana-2483	146	13	aortic	aortic	ADJ
cana-2483	146	14	valve	valve	NOUN
cana-2483	146	15	is	be	AUX
cana-2483	146	16	stiff	stiff	ADJ
cana-2483	146	17	,	,	PUNCT
cana-2483	146	18	blood	blood	NOUN
cana-2483	146	19	flow	flow	NOUN
cana-2483	146	20	is	be	AUX
cana-2483	146	21	obstructed	obstruct	VERB
cana-2483	146	22	,	,	PUNCT
cana-2483	146	23	and	and	CCONJ
cana-2483	146	24	increased	increase	VERB
cana-2483	146	25	heart	heart	NOUN
cana-2483	146	26	strain	strain	NOUN
cana-2483	146	27	is	be	AUX
cana-2483	146	28	needed	need	VERB
cana-2483	146	29	during	during	ADP
cana-2483	146	30	relaxation	relaxation	NOUN
cana-2483	146	31	.	.	PUNCT
cana-2483	147	1	visualisation	visualisation	NOUN
cana-2483	147	2	and	and	CCONJ
cana-2483	147	3	careful	careful	ADJ
cana-2483	147	4	examination	examination	NOUN
cana-2483	147	5	of	of	ADP
cana-2483	147	6	these	these	DET
cana-2483	147	7	features	feature	NOUN
cana-2483	147	8	can	can	AUX
cana-2483	147	9	help	help	VERB
cana-2483	147	10	to	to	PART
cana-2483	147	11	interpret	interpret	VERB
cana-2483	147	12	systolic	systolic	ADJ
cana-2483	147	13	and	and	CCONJ
cana-2483	147	14	diastolic	diastolic	ADJ
cana-2483	147	15	abnormalities	abnormality	NOUN
cana-2483	147	16	and	and	CCONJ
cana-2483	147	17	to	to	PART
cana-2483	147	18	understand	understand	VERB
cana-2483	147	19	aortic	aortic	ADJ
cana-2483	147	20	stenosis	stenosis	NOUN
cana-2483	147	21	and	and	CCONJ
cana-2483	147	22	related	relate	VERB
cana-2483	147	23	cardiovascular	cardiovascular	ADJ
cana-2483	147	24	problems	problem	NOUN
cana-2483	147	25	.	.	PUNCT
cana-2483	148	1	3.4.3.3	3.4.3.3	NUM
cana-2483	148	2	qrs	qrs	PROPN
cana-2483	148	3	duration	duration	NOUN
cana-2483	148	4	longer	long	ADV
cana-2483	148	5	than	than	ADP
cana-2483	148	6	120	120	NUM
cana-2483	148	7	milliseconds	millisecond	NOUN
cana-2483	148	8	(	(	PUNCT
cana-2483	148	9	the	the	DET
cana-2483	148	10	threshold	threshold	NOUN
cana-2483	148	11	)	)	PUNCT
cana-2483	148	12	will	will	AUX
cana-2483	148	13	indicate	indicate	VERB
cana-2483	148	14	an	an	DET
cana-2483	148	15	elevation	elevation	NOUN
cana-2483	148	16	in	in	ADP
cana-2483	148	17	ventricular	ventricular	ADJ
cana-2483	148	18	mass	mass	NOUN
cana-2483	148	19	that	that	PRON
cana-2483	148	20	necessitates	necessitate	VERB
cana-2483	148	21	more	more	ADJ
cana-2483	148	22	time	time	NOUN
cana-2483	148	23	to	to	PART
cana-2483	148	24	adequately	adequately	ADV
cana-2483	148	25	depolarise	depolarise	VERB
cana-2483	148	26	the	the	DET
cana-2483	148	27	heart	heart	NOUN
cana-2483	148	28	's	's	PART
cana-2483	148	29	muscle	muscle	NOUN
cana-2483	148	30	,	,	PUNCT
cana-2483	148	31	possibly	possibly	ADV
cana-2483	148	32	indicating	indicate	VERB
cana-2483	148	33	left	leave	VERB
cana-2483	148	34	ventricular	ventricular	ADJ
cana-2483	148	35	overload	overload	NOUN
cana-2483	148	36	or	or	CCONJ
cana-2483	148	37	a	a	DET
cana-2483	148	38	bundle	bundle	NOUN
cana-2483	148	39	branch	branch	NOUN
cana-2483	148	40	block	block	NOUN
cana-2483	148	41	.	.	PUNCT
cana-2483	149	1	3.4.3.4	3.4.3.4	NUM
cana-2483	149	2	qrs	qrs	PROPN
cana-2483	149	3	axis	axis	PROPN
cana-2483	149	4	left	leave	VERB
cana-2483	149	5	axis	axis	NOUN
cana-2483	149	6	deviation	deviation	NOUN
cana-2483	149	7	(	(	PUNCT
cana-2483	149	8	lad	lad	NOUN
cana-2483	149	9	)	)	PUNCT
cana-2483	149	10	is	be	AUX
cana-2483	149	11	when	when	SCONJ
cana-2483	149	12	the	the	DET
cana-2483	149	13	axis	axis	NOUN
cana-2483	149	14	is	be	AUX
cana-2483	149	15	between	between	ADP
cana-2483	149	16	-30	-30	PROPN
cana-2483	149	17	°	°	PROPN
cana-2483	149	18	and	and	CCONJ
cana-2483	149	19	-90	-90	NOUN
cana-2483	149	20	°	°	NUM
cana-2483	149	21	and	and	CCONJ
cana-2483	149	22	may	may	AUX
cana-2483	149	23	be	be	AUX
cana-2483	149	24	due	due	ADJ
cana-2483	149	25	to	to	AUX
cana-2483	149	26	left	leave	VERB
cana-2483	149	27	ventricular	ventricular	ADJ
cana-2483	149	28	hypertrophy	hypertrophy	NOUN
cana-2483	149	29	or	or	CCONJ
cana-2483	149	30	left	leave	VERB
cana-2483	149	31	bundle	bundle	NOUN
cana-2483	149	32	branch	branch	NOUN
cana-2483	149	33	block	block	NOUN
cana-2483	149	34	associated	associate	VERB
cana-2483	149	35	with	with	ADP
cana-2483	149	36	ventricular	ventricular	ADJ
cana-2483	149	37	overload	overload	NOUN
cana-2483	149	38	due	due	ADP
cana-2483	149	39	to	to	ADP
cana-2483	149	40	aortic	aortic	ADJ
cana-2483	149	41	stenosis	stenosis	NOUN
cana-2483	149	42	.	.	PUNCT
cana-2483	150	1	a	a	DET
cana-2483	150	2	normal	normal	ADJ
cana-2483	150	3	axis	axis	NOUN
cana-2483	150	4	of	of	ADP
cana-2483	150	5	-30	-30	PROPN
cana-2483	150	6	°	°	PROPN
cana-2483	150	7	to	to	ADP
cana-2483	150	8	+90	+90	PROPN
cana-2483	150	9	°	°	PROPN
cana-2483	150	10	indicates	indicate	VERB
cana-2483	150	11	good	good	ADJ
cana-2483	150	12	health	health	NOUN
cana-2483	150	13	and	and	CCONJ
cana-2483	150	14	no	no	DET
cana-2483	150	15	major	major	ADJ
cana-2483	150	16	cardiac	cardiac	ADJ
cana-2483	150	17	problems	problem	NOUN
cana-2483	150	18	.	.	PUNCT
cana-2483	151	1	right	right	ADJ
cana-2483	151	2	axis	axis	NOUN
cana-2483	151	3	deviation	deviation	NOUN
cana-2483	151	4	(	(	PUNCT
cana-2483	151	5	rad	rad	NOUN
cana-2483	151	6	)	)	PUNCT
cana-2483	151	7	with	with	ADP
cana-2483	151	8	an	an	DET
cana-2483	151	9	axis	axis	NOUN
cana-2483	151	10	greater	great	ADJ
cana-2483	151	11	than	than	ADP
cana-2483	151	12	+90	+90	PROPN
cana-2483	151	13	°	°	PROPN
cana-2483	151	14	does	do	AUX
cana-2483	151	15	not	not	PART
cana-2483	151	16	represent	represent	VERB
cana-2483	151	17	left	leave	VERB
cana-2483	151	18	ventricular	ventricular	ADJ
cana-2483	151	19	overload	overload	NOUN
cana-2483	151	20	and	and	CCONJ
cana-2483	151	21	is	be	AUX
cana-2483	151	22	not	not	PART
cana-2483	151	23	associated	associate	VERB
cana-2483	151	24	with	with	ADP
cana-2483	151	25	right	right	ADJ
cana-2483	151	26	ventricular	ventricular	ADJ
cana-2483	151	27	disease	disease	NOUN
cana-2483	151	28	.	.	PUNCT
cana-2483	152	1	4	4	NUM
cana-2483	152	2	model	model	NOUN
cana-2483	152	3	development	development	NOUN
cana-2483	152	4	4.1	4.1	NUM
cana-2483	152	5	support	support	NOUN
cana-2483	152	6	vector	vector	NOUN
cana-2483	152	7	machine	machine	NOUN
cana-2483	152	8	(	(	PUNCT
cana-2483	152	9	svm	svm	PROPN
cana-2483	152	10	)	)	PUNCT
cana-2483	152	11	a	a	DET
cana-2483	152	12	large	large	ADJ
cana-2483	152	13	dataset	dataset	NOUN
cana-2483	152	14	of	of	ADP
cana-2483	152	15	aortic	aortic	ADJ
cana-2483	152	16	stenosis	stenosis	NOUN
cana-2483	152	17	diagnosis	diagnosis	NOUN
cana-2483	152	18	and	and	CCONJ
cana-2483	152	19	detection	detection	NOUN
cana-2483	152	20	was	be	AUX
cana-2483	152	21	trained	train	VERB
cana-2483	152	22	meticulously	meticulously	ADV
cana-2483	152	23	on	on	ADP
cana-2483	152	24	a	a	DET
cana-2483	152	25	large	large	ADJ
cana-2483	152	26	scale	scale	NOUN
cana-2483	152	27	12	12	NUM
cana-2483	152	28	lead	lead	NOUN
cana-2483	152	29	electrocardiogram	electrocardiogram	NOUN
cana-2483	152	30	(	(	PUNCT
cana-2483	152	31	ecg	ecg	PROPN
cana-2483	152	32	)	)	PUNCT
cana-2483	152	33	database	database	NOUN
cana-2483	152	34	using	use	VERB
cana-2483	152	35	a	a	DET
cana-2483	152	36	support	support	NOUN
cana-2483	152	37	vector	vector	NOUN
cana-2483	152	38	machine	machine	NOUN
cana-2483	152	39	(	(	PUNCT
cana-2483	152	40	svm	svm	ADJ
cana-2483	152	41	)	)	PUNCT
cana-2483	152	42	classifier	classifier	NOUN
cana-2483	152	43	with	with	ADP
cana-2483	152	44	a	a	DET
cana-2483	152	45	radial	radial	ADJ
cana-2483	152	46	basis	basis	NOUN
cana-2483	152	47	function	function	NOUN
cana-2483	152	48	(	(	PUNCT
cana-2483	152	49	rbf	rbf	PROPN
cana-2483	152	50	)	)	PUNCT
cana-2483	152	51	kernel	kernel	PROPN
cana-2483	152	52	.	.	PUNCT
cana-2483	153	1	the	the	DET
cana-2483	153	2	feature	feature	NOUN
cana-2483	153	3	extraction	extraction	NOUN
cana-2483	153	4	process	process	NOUN
cana-2483	153	5	was	be	AUX
cana-2483	153	6	designed	design	VERB
cana-2483	153	7	to	to	PART
cana-2483	153	8	extract	extract	VERB
cana-2483	153	9	frequency	frequency	NOUN
cana-2483	153	10	domain	domain	NOUN
cana-2483	153	11	characteristics	characteristic	NOUN
cana-2483	153	12	and	and	CCONJ
cana-2483	153	13	intricate	intricate	ADJ
cana-2483	153	14	signal	signal	NOUN
cana-2483	153	15	morphology	morphology	NOUN
cana-2483	153	16	descriptors	descriptor	NOUN
cana-2483	153	17	in	in	ADP
cana-2483	153	18	the	the	DET
cana-2483	153	19	ecg	ecg	PROPN
cana-2483	153	20	signals	signal	NOUN
cana-2483	153	21	.	.	PUNCT
cana-2483	154	1	the	the	DET
cana-2483	154	2	motivation	motivation	NOUN
cana-2483	154	3	for	for	ADP
cana-2483	154	4	this	this	DET
cana-2483	154	5	approach	approach	NOUN
cana-2483	154	6	was	be	AUX
cana-2483	154	7	to	to	PART
cana-2483	154	8	extract	extract	VERB
cana-2483	154	9	the	the	DET
cana-2483	154	10	rich	rich	ADJ
cana-2483	154	11	information	information	NOUN
cana-2483	154	12	from	from	ADP
cana-2483	154	13	ecg	ecg	PROPN
cana-2483	154	14	recordings	recording	NOUN
cana-2483	154	15	to	to	ADP
cana-2483	154	16	a	a	DET
cana-2483	154	17	set	set	NOUN
cana-2483	154	18	of	of	ADP
cana-2483	154	19	hand	hand	NOUN
cana-2483	154	20	-	-	PUNCT
cana-2483	154	21	engineered	engineer	VERB
cana-2483	154	22	features	feature	NOUN
cana-2483	154	23	that	that	PRON
cana-2483	154	24	could	could	AUX
cana-2483	154	25	effectively	effectively	ADV
cana-2483	154	26	represent	represent	VERB
cana-2483	154	27	the	the	DET
cana-2483	154	28	patterns	pattern	NOUN
cana-2483	154	29	of	of	ADP
cana-2483	154	30	aortic	aortic	ADJ
cana-2483	154	31	stenosis	stenosis	NOUN
cana-2483	154	32	.	.	PUNCT
cana-2483	155	1	although	although	SCONJ
cana-2483	155	2	feature	feature	NOUN
cana-2483	155	3	extraction	extraction	NOUN
cana-2483	155	4	was	be	AUX
cana-2483	155	5	done	do	VERB
cana-2483	155	6	with	with	ADP
cana-2483	155	7	great	great	ADJ
cana-2483	155	8	effort	effort	NOUN
cana-2483	155	9	and	and	CCONJ
cana-2483	155	10	the	the	DET
cana-2483	155	11	svm	svm	ADJ
cana-2483	155	12	model	model	NOUN
cana-2483	155	13	was	be	AUX
cana-2483	155	14	deployed	deploy	VERB
cana-2483	155	15	,	,	PUNCT
cana-2483	155	16	the	the	DET
cana-2483	155	17	results	result	NOUN
cana-2483	155	18	were	be	AUX
cana-2483	155	19	not	not	PART
cana-2483	155	20	good	good	ADJ
cana-2483	155	21	in	in	ADP
cana-2483	155	22	accuracy	accuracy	NOUN
cana-2483	155	23	and	and	CCONJ
cana-2483	155	24	recall	recall	NOUN
cana-2483	155	25	.	.	PUNCT
cana-2483	156	1	this	this	DET
cana-2483	156	2	suboptimal	suboptimal	ADJ
cana-2483	156	3	performance	performance	NOUN
cana-2483	156	4	is	be	AUX
cana-2483	156	5	due	due	ADJ
cana-2483	156	6	to	to	ADP
cana-2483	156	7	the	the	DET
cana-2483	156	8	inherent	inherent	ADJ
cana-2483	156	9	complexities	complexity	NOUN
cana-2483	156	10	and	and	CCONJ
cana-2483	156	11	high	high	ADJ
cana-2483	156	12	dimensionality	dimensionality	NOUN
cana-2483	156	13	of	of	ADP
cana-2483	156	14	12	12	NUM
cana-2483	156	15	lead	lead	NOUN
cana-2483	156	16	ecg	ecg	PROPN
cana-2483	156	17	data	data	PROPN
cana-2483	156	18	.	.	PUNCT
cana-2483	157	1	for	for	ADP
cana-2483	157	2	example	example	NOUN
cana-2483	157	3	,	,	PUNCT
cana-2483	157	4	conventional	conventional	ADJ
cana-2483	157	5	feature	feature	NOUN
cana-2483	157	6	extraction	extraction	NOUN
cana-2483	157	7	techniques	technique	NOUN
cana-2483	157	8	might	might	AUX
cana-2483	157	9	not	not	PART
cana-2483	157	10	be	be	AUX
cana-2483	157	11	able	able	ADJ
cana-2483	157	12	to	to	PART
cana-2483	157	13	express	express	VERB
cana-2483	157	14	the	the	DET
cana-2483	157	15	rich	rich	ADJ
cana-2483	157	16	,	,	PUNCT
cana-2483	157	17	multi	multi	ADJ
cana-2483	157	18	-	-	ADJ
cana-2483	157	19	faceted	faceted	ADJ
cana-2483	157	20	relationships	relationship	NOUN
cana-2483	157	21	in	in	ADP
cana-2483	157	22	these	these	DET
cana-2483	157	23	datasets	dataset	NOUN
cana-2483	157	24	by	by	ADP
cana-2483	157	25	extracting	extract	VERB
cana-2483	157	26	subtle	subtle	ADJ
cana-2483	157	27	and	and	CCONJ
cana-2483	157	28	nuanced	nuanced	ADJ
cana-2483	157	29	patterns	pattern	NOUN
cana-2483	157	30	,	,	PUNCT
cana-2483	157	31	such	such	ADJ
cana-2483	157	32	as	as	ADP
cana-2483	157	33	those	those	PRON
cana-2483	157	34	of	of	ADP
cana-2483	157	35	aortic	aortic	ADJ
cana-2483	157	36	stenosis	stenosis	NOUN
cana-2483	157	37	.	.	PUNCT
cana-2483	158	1	moreover	moreover	ADV
cana-2483	158	2	,	,	PUNCT
cana-2483	158	3	since	since	SCONJ
cana-2483	158	4	these	these	DET
cana-2483	158	5	basic	basic	ADJ
cana-2483	158	6	methods	method	NOUN
cana-2483	158	7	have	have	VERB
cana-2483	158	8	some	some	DET
cana-2483	158	9	limitations	limitation	NOUN
cana-2483	158	10	,	,	PUNCT
cana-2483	158	11	there	there	PRON
cana-2483	158	12	is	be	VERB
cana-2483	158	13	a	a	DET
cana-2483	158	14	need	need	NOUN
cana-2483	158	15	to	to	PART
cana-2483	158	16	develop	develop	VERB
cana-2483	158	17	more	more	ADV
cana-2483	158	18	advanced	advanced	ADJ
cana-2483	158	19	analytical	analytical	ADJ
cana-2483	158	20	methods	method	NOUN
cana-2483	158	21	to	to	PART
cana-2483	158	22	fully	fully	ADV
cana-2483	158	23	utilise	utilise	VERB
cana-2483	158	24	the	the	DET
cana-2483	158	25	complexity	complexity	NOUN
cana-2483	158	26	of	of	ADP
cana-2483	158	27	ecg	ecg	PROPN
cana-2483	158	28	signals	signal	NOUN
cana-2483	158	29	to	to	PART
cana-2483	158	30	improve	improve	VERB
cana-2483	158	31	diagnostic	diagnostic	ADJ
cana-2483	158	32	accuracy	accuracy	NOUN
cana-2483	158	33	for	for	ADP
cana-2483	158	34	aortic	aortic	ADJ
cana-2483	158	35	stenosis	stenosis	NOUN
cana-2483	158	36	,	,	PUNCT
cana-2483	158	37	for	for	ADP
cana-2483	158	38	example	example	NOUN
cana-2483	158	39	.	.	PUNCT
cana-2483	159	1	4.2	4.2	NUM
cana-2483	159	2	random	random	ADJ
cana-2483	159	3	forest	forest	NOUN
cana-2483	159	4	(	(	PUNCT
cana-2483	159	5	rf	rf	NOUN
cana-2483	159	6	)	)	PUNCT
cana-2483	159	7	the	the	DET
cana-2483	159	8	random	random	ADJ
cana-2483	159	9	forest	forest	NOUN
cana-2483	159	10	(	(	PUNCT
cana-2483	159	11	rf	rf	NOUN
cana-2483	159	12	)	)	PUNCT
cana-2483	159	13	model	model	NOUN
cana-2483	159	14	was	be	AUX
cana-2483	159	15	a	a	DET
cana-2483	159	16	modest	modest	ADJ
cana-2483	159	17	but	but	CCONJ
cana-2483	159	18	significant	significant	ADJ
cana-2483	159	19	improvement	improvement	NOUN
cana-2483	159	20	over	over	ADP
cana-2483	159	21	the	the	DET
cana-2483	159	22	support	support	NOUN
cana-2483	159	23	vector	vector	NOUN
cana-2483	159	24	machine	machine	NOUN
cana-2483	159	25	(	(	PUNCT
cana-2483	159	26	svm	svm	PROPN
cana-2483	159	27	)	)	PUNCT
cana-2483	159	28	on	on	ADP
cana-2483	159	29	a	a	DET
cana-2483	159	30	sizeable	sizeable	ADJ
cana-2483	159	31	12	12	NUM
cana-2483	159	32	-	-	PUNCT
cana-2483	159	33	lead	lead	NOUN
cana-2483	159	34	electrocardiogram	electrocardiogram	NOUN
cana-2483	159	35	(	(	PUNCT
cana-2483	159	36	ecg	ecg	PROPN
cana-2483	159	37	)	)	PUNCT
cana-2483	159	38	database	database	NOUN
cana-2483	159	39	for	for	ADP
cana-2483	159	40	diagnosing	diagnosing	NOUN
cana-2483	159	41	and	and	CCONJ
cana-2483	159	42	694	694	NUM
cana-2483	159	43	vol	vol	NOUN
cana-2483	159	44	32	32	NUM
cana-2483	159	45	no	no	NOUN
cana-2483	159	46	.	.	NOUN
cana-2483	159	47	3	3	NUM
cana-2483	159	48	(	(	PUNCT
cana-2483	159	49	2025	2025	NUM
cana-2483	159	50	)	)	PUNCT
cana-2483	159	51	communications	communication	NOUN
cana-2483	159	52	on	on	ADP
cana-2483	159	53	applied	apply	VERB
cana-2483	159	54	nonlinear	nonlinear	ADJ
cana-2483	159	55	analysis	analysis	NOUN
cana-2483	159	56	issn	issn	NOUN
cana-2483	159	57	:	:	PUNCT
cana-2483	159	58	1074	1074	NUM
cana-2483	159	59	-	-	PUNCT
cana-2483	159	60	133x	133x	PROPN
cana-2483	159	61	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	159	62	identifying	identify	VERB
cana-2483	159	63	aortic	aortic	ADJ
cana-2483	159	64	stenosis	stenosis	NOUN
cana-2483	159	65	.	.	PUNCT
cana-2483	160	1	this	this	DET
cana-2483	160	2	incremental	incremental	ADJ
cana-2483	160	3	improvement	improvement	NOUN
cana-2483	160	4	is	be	AUX
cana-2483	160	5	primarily	primarily	ADV
cana-2483	160	6	because	because	SCONJ
cana-2483	160	7	the	the	DET
cana-2483	160	8	random	random	ADJ
cana-2483	160	9	forest	forest	NOUN
cana-2483	160	10	algorithm	algorithm	NOUN
cana-2483	160	11	also	also	ADV
cana-2483	160	12	has	have	VERB
cana-2483	160	13	an	an	DET
cana-2483	160	14	ensemble	ensemble	ADJ
cana-2483	160	15	learning	learning	NOUN
cana-2483	160	16	approach	approach	NOUN
cana-2483	160	17	,	,	PUNCT
cana-2483	160	18	which	which	PRON
cana-2483	160	19	is	be	AUX
cana-2483	160	20	very	very	ADV
cana-2483	160	21	good	good	ADJ
cana-2483	160	22	at	at	ADP
cana-2483	160	23	capturing	capture	VERB
cana-2483	160	24	various	various	ADJ
cana-2483	160	25	features	feature	NOUN
cana-2483	160	26	in	in	ADP
cana-2483	160	27	the	the	DET
cana-2483	160	28	ecg	ecg	PROPN
cana-2483	160	29	signals	signal	NOUN
cana-2483	160	30	.	.	PUNCT
cana-2483	161	1	rf	rf	NOUN
cana-2483	161	2	aggregates	aggregate	NOUN
cana-2483	161	3	predictions	prediction	NOUN
cana-2483	161	4	of	of	ADP
cana-2483	161	5	multiple	multiple	ADJ
cana-2483	161	6	decision	decision	NOUN
cana-2483	161	7	trees	tree	NOUN
cana-2483	161	8	to	to	PART
cana-2483	161	9	use	use	VERB
cana-2483	161	10	different	different	ADJ
cana-2483	161	11	aspects	aspect	NOUN
cana-2483	161	12	of	of	ADP
cana-2483	161	13	the	the	DET
cana-2483	161	14	data	datum	NOUN
cana-2483	161	15	to	to	PART
cana-2483	161	16	build	build	VERB
cana-2483	161	17	a	a	DET
cana-2483	161	18	more	more	ADV
cana-2483	161	19	robust	robust	ADJ
cana-2483	161	20	model	model	NOUN
cana-2483	161	21	that	that	PRON
cana-2483	161	22	can	can	AUX
cana-2483	161	23	handle	handle	VERB
cana-2483	161	24	the	the	DET
cana-2483	161	25	complexity	complexity	NOUN
cana-2483	161	26	of	of	ADP
cana-2483	161	27	cardiovascular	cardiovascular	ADJ
cana-2483	161	28	signals	signal	NOUN
cana-2483	161	29	.	.	PUNCT
cana-2483	162	1	nevertheless	nevertheless	ADV
cana-2483	162	2	,	,	PUNCT
cana-2483	162	3	the	the	DET
cana-2483	162	4	random	random	ADJ
cana-2483	162	5	forest	forest	NOUN
cana-2483	162	6	model	model	NOUN
cana-2483	162	7	could	could	AUX
cana-2483	162	8	not	not	PART
cana-2483	162	9	overcome	overcome	VERB
cana-2483	162	10	the	the	DET
cana-2483	162	11	severe	severe	ADJ
cana-2483	162	12	challenges	challenge	NOUN
cana-2483	162	13	of	of	ADP
cana-2483	162	14	achieving	achieve	VERB
cana-2483	162	15	high	high	ADJ
cana-2483	162	16	sensitivity	sensitivity	NOUN
cana-2483	162	17	levels	level	NOUN
cana-2483	162	18	to	to	PART
cana-2483	162	19	detect	detect	VERB
cana-2483	162	20	aortic	aortic	ADJ
cana-2483	162	21	stenosis	stenosis	NOUN
cana-2483	162	22	accurately	accurately	ADV
cana-2483	162	23	.	.	PUNCT
cana-2483	163	1	in	in	ADP
cana-2483	163	2	particular	particular	ADJ
cana-2483	163	3	,	,	PUNCT
cana-2483	163	4	this	this	DET
cana-2483	163	5	cardiovascular	cardiovascular	ADJ
cana-2483	163	6	condition	condition	NOUN
cana-2483	163	7	presents	present	VERB
cana-2483	163	8	subtle	subtle	ADJ
cana-2483	163	9	changes	change	NOUN
cana-2483	163	10	in	in	ADP
cana-2483	163	11	the	the	DET
cana-2483	163	12	electrical	electrical	ADJ
cana-2483	163	13	signals	signal	NOUN
cana-2483	163	14	recorded	record	VERB
cana-2483	163	15	in	in	ADP
cana-2483	163	16	the	the	DET
cana-2483	163	17	ecg	ecg	PROPN
cana-2483	163	18	that	that	PRON
cana-2483	163	19	are	be	AUX
cana-2483	163	20	very	very	ADV
cana-2483	163	21	difficult	difficult	ADJ
cana-2483	163	22	to	to	PART
cana-2483	163	23	capture	capture	VERB
cana-2483	163	24	by	by	ADP
cana-2483	163	25	models	model	NOUN
cana-2483	163	26	that	that	PRON
cana-2483	163	27	do	do	AUX
cana-2483	163	28	not	not	PART
cana-2483	163	29	exploit	exploit	VERB
cana-2483	163	30	sequential	sequential	ADJ
cana-2483	163	31	data	datum	NOUN
cana-2483	163	32	patterns	pattern	NOUN
cana-2483	163	33	.	.	PUNCT
cana-2483	164	1	the	the	DET
cana-2483	164	2	ecg	ecg	PROPN
cana-2483	164	3	readings	reading	NOUN
cana-2483	164	4	for	for	ADP
cana-2483	164	5	aortic	aortic	ADJ
cana-2483	164	6	stenosis	stenosis	NOUN
cana-2483	164	7	are	be	AUX
cana-2483	164	8	intricate	intricate	ADJ
cana-2483	164	9	,	,	PUNCT
cana-2483	164	10	and	and	CCONJ
cana-2483	164	11	the	the	DET
cana-2483	164	12	temporal	temporal	ADJ
cana-2483	164	13	changes	change	NOUN
cana-2483	164	14	in	in	ADP
cana-2483	164	15	the	the	DET
cana-2483	164	16	ecg	ecg	PROPN
cana-2483	164	17	readings	reading	NOUN
cana-2483	164	18	are	be	AUX
cana-2483	164	19	often	often	ADV
cana-2483	164	20	very	very	ADV
cana-2483	164	21	nuanced	nuanced	ADJ
cana-2483	164	22	and	and	CCONJ
cana-2483	164	23	,	,	PUNCT
cana-2483	164	24	therefore	therefore	ADV
cana-2483	164	25	,	,	PUNCT
cana-2483	164	26	necessary	necessary	ADJ
cana-2483	164	27	for	for	ADP
cana-2483	164	28	a	a	DET
cana-2483	164	29	precise	precise	ADJ
cana-2483	164	30	diagnosis	diagnosis	NOUN
cana-2483	164	31	.	.	PUNCT
cana-2483	165	1	the	the	DET
cana-2483	165	2	limitations	limitation	NOUN
cana-2483	165	3	of	of	ADP
cana-2483	165	4	non	non	ADJ
cana-2483	165	5	-	-	ADJ
cana-2483	165	6	sequence	sequence	NOUN
cana-2483	165	7	-	-	PUNCT
cana-2483	165	8	based	base	VERB
cana-2483	165	9	models	model	NOUN
cana-2483	165	10	such	such	ADJ
cana-2483	165	11	as	as	ADP
cana-2483	165	12	rf	rf	PRON
cana-2483	165	13	become	become	VERB
cana-2483	165	14	evident	evident	ADJ
cana-2483	165	15	in	in	ADP
cana-2483	165	16	complex	complex	ADJ
cana-2483	165	17	ecg	ecg	PROPN
cana-2483	165	18	datasets	dataset	NOUN
cana-2483	165	19	,	,	PUNCT
cana-2483	165	20	where	where	SCONJ
cana-2483	165	21	these	these	DET
cana-2483	165	22	subtle	subtle	ADJ
cana-2483	165	23	signal	signal	NOUN
cana-2483	165	24	variations	variation	NOUN
cana-2483	165	25	are	be	AUX
cana-2483	165	26	essential	essential	ADJ
cana-2483	165	27	.	.	PUNCT
cana-2483	166	1	this	this	PRON
cana-2483	166	2	leaves	leave	VERB
cana-2483	166	3	the	the	DET
cana-2483	166	4	task	task	NOUN
cana-2483	166	5	of	of	ADP
cana-2483	166	6	achieving	achieve	VERB
cana-2483	166	7	optimal	optimal	ADJ
cana-2483	166	8	sensitivity	sensitivity	NOUN
cana-2483	166	9	in	in	ADP
cana-2483	166	10	detecting	detect	VERB
cana-2483	166	11	aortic	aortic	ADJ
cana-2483	166	12	stenosis	stenosis	NOUN
cana-2483	166	13	still	still	ADV
cana-2483	166	14	a	a	DET
cana-2483	166	15	complex	complex	ADJ
cana-2483	166	16	problem	problem	NOUN
cana-2483	166	17	,	,	PUNCT
cana-2483	166	18	and	and	CCONJ
cana-2483	166	19	there	there	PRON
cana-2483	166	20	is	be	VERB
cana-2483	166	21	a	a	DET
cana-2483	166	22	need	need	NOUN
cana-2483	166	23	for	for	ADP
cana-2483	166	24	more	more	ADV
cana-2483	166	25	sophisticated	sophisticated	ADJ
cana-2483	166	26	machine	machine	NOUN
cana-2483	166	27	-	-	PUNCT
cana-2483	166	28	learning	learn	VERB
cana-2483	166	29	techniques	technique	NOUN
cana-2483	166	30	that	that	PRON
cana-2483	166	31	can	can	AUX
cana-2483	166	32	capture	capture	VERB
cana-2483	166	33	these	these	DET
cana-2483	166	34	complex	complex	ADJ
cana-2483	166	35	signal	signal	NOUN
cana-2483	166	36	dynamics	dynamic	NOUN
cana-2483	166	37	.	.	PUNCT
cana-2483	167	1	4.3	4.3	NUM
cana-2483	167	2	convolutional	convolutional	ADJ
cana-2483	167	3	neural	neural	ADJ
cana-2483	167	4	network	network	NOUN
cana-2483	167	5	(	(	PUNCT
cana-2483	167	6	cnn	cnn	PROPN
cana-2483	167	7	)	)	PUNCT
cana-2483	167	8	a	a	DET
cana-2483	167	9	cnn	cnn	PROPN
cana-2483	167	10	model	model	NOUN
cana-2483	167	11	trained	train	VERB
cana-2483	167	12	on	on	ADP
cana-2483	167	13	raw	raw	ADJ
cana-2483	167	14	signals	signal	NOUN
cana-2483	167	15	from	from	ADP
cana-2483	167	16	an	an	DET
cana-2483	167	17	extensive	extensive	ADJ
cana-2483	167	18	12	12	NUM
cana-2483	167	19	-	-	PUNCT
cana-2483	167	20	lead	lead	NOUN
cana-2483	167	21	electrocardiogram	electrocardiogram	NOUN
cana-2483	167	22	(	(	PUNCT
cana-2483	167	23	ecg	ecg	PROPN
cana-2483	167	24	)	)	PUNCT
cana-2483	167	25	database	database	NOUN
cana-2483	167	26	could	could	AUX
cana-2483	167	27	accurately	accurately	ADV
cana-2483	167	28	diagnose	diagnose	VERB
cana-2483	167	29	and	and	CCONJ
cana-2483	167	30	detect	detect	VERB
cana-2483	167	31	aortic	aortic	ADJ
cana-2483	167	32	stenosis	stenosis	NOUN
cana-2483	167	33	.	.	PUNCT
cana-2483	168	1	this	this	DET
cana-2483	168	2	model	model	NOUN
cana-2483	168	3	was	be	AUX
cana-2483	168	4	particularly	particularly	ADV
cana-2483	168	5	good	good	ADJ
cana-2483	168	6	at	at	ADP
cana-2483	168	7	identifying	identify	VERB
cana-2483	168	8	spatial	spatial	ADJ
cana-2483	168	9	features	feature	NOUN
cana-2483	168	10	over	over	ADP
cana-2483	168	11	the	the	DET
cana-2483	168	12	12	12	NUM
cana-2483	168	13	leads	lead	NOUN
cana-2483	168	14	of	of	ADP
cana-2483	168	15	the	the	DET
cana-2483	168	16	ecg	ecg	PROPN
cana-2483	168	17	,	,	PUNCT
cana-2483	168	18	demonstrating	demonstrate	VERB
cana-2483	168	19	that	that	SCONJ
cana-2483	168	20	it	it	PRON
cana-2483	168	21	could	could	AUX
cana-2483	168	22	effectively	effectively	ADV
cana-2483	168	23	extract	extract	VERB
cana-2483	168	24	local	local	ADJ
cana-2483	168	25	patterns	pattern	NOUN
cana-2483	168	26	in	in	ADP
cana-2483	168	27	ecg	ecg	PROPN
cana-2483	168	28	signals	signal	NOUN
cana-2483	168	29	.	.	PUNCT
cana-2483	169	1	such	such	ADJ
cana-2483	169	2	spatial	spatial	ADJ
cana-2483	169	3	properties	property	NOUN
cana-2483	169	4	are	be	AUX
cana-2483	169	5	critical	critical	ADJ
cana-2483	169	6	to	to	ADP
cana-2483	169	7	detecting	detect	VERB
cana-2483	169	8	abnormalities	abnormality	NOUN
cana-2483	169	9	,	,	PUNCT
cana-2483	169	10	such	such	ADJ
cana-2483	169	11	as	as	ADP
cana-2483	169	12	aortic	aortic	ADJ
cana-2483	169	13	stenosis	stenosis	NOUN
cana-2483	169	14	,	,	PUNCT
cana-2483	169	15	which	which	PRON
cana-2483	169	16	would	would	AUX
cana-2483	169	17	otherwise	otherwise	ADV
cana-2483	169	18	be	be	AUX
cana-2483	169	19	visually	visually	ADV
cana-2483	169	20	imperceptible	imperceptible	ADJ
cana-2483	169	21	.	.	PUNCT
cana-2483	170	1	however	however	ADV
cana-2483	170	2	,	,	PUNCT
cana-2483	170	3	despite	despite	SCONJ
cana-2483	170	4	the	the	DET
cana-2483	170	5	cnn	cnn	PROPN
cana-2483	170	6	model	model	PROPN
cana-2483	170	7	’s	’s	PART
cana-2483	170	8	success	success	NOUN
cana-2483	170	9	in	in	ADP
cana-2483	170	10	spatial	spatial	ADJ
cana-2483	170	11	analysis	analysis	NOUN
cana-2483	170	12	,	,	PUNCT
cana-2483	170	13	the	the	DET
cana-2483	170	14	temporal	temporal	ADJ
cana-2483	170	15	dependencies	dependency	NOUN
cana-2483	170	16	were	be	AUX
cana-2483	170	17	not	not	PART
cana-2483	170	18	well	well	ADV
cana-2483	170	19	incorporated	incorporate	VERB
cana-2483	170	20	for	for	ADP
cana-2483	170	21	accurate	accurate	ADJ
cana-2483	170	22	aortic	aortic	ADJ
cana-2483	170	23	stenosis	stenosis	NOUN
cana-2483	170	24	detection	detection	NOUN
cana-2483	170	25	.	.	PUNCT
cana-2483	171	1	however	however	ADV
cana-2483	171	2	,	,	PUNCT
cana-2483	171	3	this	this	DET
cana-2483	171	4	limitation	limitation	NOUN
cana-2483	171	5	resulted	result	VERB
cana-2483	171	6	in	in	ADP
cana-2483	171	7	a	a	DET
cana-2483	171	8	lower	low	ADJ
cana-2483	171	9	recall	recall	NOUN
cana-2483	171	10	rate	rate	NOUN
cana-2483	171	11	than	than	ADP
cana-2483	171	12	a	a	DET
cana-2483	171	13	hybrid	hybrid	ADJ
cana-2483	171	14	model	model	NOUN
cana-2483	171	15	combining	combine	VERB
cana-2483	171	16	spatial	spatial	ADJ
cana-2483	171	17	and	and	CCONJ
cana-2483	171	18	temporal	temporal	ADJ
cana-2483	171	19	analysis	analysis	NOUN
cana-2483	171	20	capabilities	capability	NOUN
cana-2483	171	21	.	.	PUNCT
cana-2483	172	1	ecg	ecg	PROPN
cana-2483	172	2	signals	signal	NOUN
cana-2483	172	3	are	be	AUX
cana-2483	172	4	temporal	temporal	ADJ
cana-2483	172	5	,	,	PUNCT
cana-2483	172	6	meaning	mean	VERB
cana-2483	172	7	the	the	DET
cana-2483	172	8	dynamic	dynamic	ADJ
cana-2483	172	9	changes	change	NOUN
cana-2483	172	10	in	in	ADP
cana-2483	172	11	heart	heart	NOUN
cana-2483	172	12	activity	activity	NOUN
cana-2483	172	13	over	over	ADP
cana-2483	172	14	time	time	NOUN
cana-2483	172	15	are	be	AUX
cana-2483	172	16	essential	essential	ADJ
cana-2483	172	17	to	to	AUX
cana-2483	172	18	fully	fully	ADV
cana-2483	172	19	understanding	understand	VERB
cana-2483	172	20	cardiac	cardiac	ADJ
cana-2483	172	21	conditions	condition	NOUN
cana-2483	172	22	like	like	ADP
cana-2483	172	23	aortic	aortic	ADJ
cana-2483	172	24	stenosis	stenosis	NOUN
cana-2483	172	25	.	.	PUNCT
cana-2483	173	1	here	here	ADV
cana-2483	173	2	,	,	PUNCT
cana-2483	173	3	we	we	PRON
cana-2483	173	4	identify	identify	VERB
cana-2483	173	5	a	a	DET
cana-2483	173	6	shortcoming	shortcoming	NOUN
cana-2483	173	7	of	of	ADP
cana-2483	173	8	this	this	DET
cana-2483	173	9	work	work	NOUN
cana-2483	173	10	.	.	PUNCT
cana-2483	174	1	since	since	SCONJ
cana-2483	174	2	cnn	cnn	PROPN
cana-2483	174	3	is	be	AUX
cana-2483	174	4	designed	design	VERB
cana-2483	174	5	to	to	PART
cana-2483	174	6	extract	extract	VERB
cana-2483	174	7	spatial	spatial	ADJ
cana-2483	174	8	features	feature	NOUN
cana-2483	174	9	only	only	ADV
cana-2483	174	10	,	,	PUNCT
cana-2483	174	11	it	it	PRON
cana-2483	174	12	can	can	AUX
cana-2483	174	13	not	not	PART
cana-2483	174	14	analyse	analyse	VERB
cana-2483	174	15	temporal	temporal	ADJ
cana-2483	174	16	sequences	sequence	NOUN
cana-2483	174	17	,	,	PUNCT
cana-2483	174	18	highlighting	highlight	VERB
cana-2483	174	19	the	the	DET
cana-2483	174	20	need	need	NOUN
cana-2483	174	21	for	for	ADP
cana-2483	174	22	a	a	DET
cana-2483	174	23	more	more	ADV
cana-2483	174	24	hybrid	hybrid	ADJ
cana-2483	174	25	architecture	architecture	NOUN
cana-2483	174	26	that	that	PRON
cana-2483	174	27	combines	combine	VERB
cana-2483	174	28	the	the	DET
cana-2483	174	29	advantages	advantage	NOUN
cana-2483	174	30	of	of	ADP
cana-2483	174	31	cnns	cnn	NOUN
cana-2483	174	32	for	for	ADP
cana-2483	174	33	spatial	spatial	ADJ
cana-2483	174	34	feature	feature	NOUN
cana-2483	174	35	extraction	extraction	NOUN
cana-2483	174	36	with	with	ADP
cana-2483	174	37	models	model	NOUN
cana-2483	174	38	specialised	specialise	VERB
cana-2483	174	39	for	for	ADP
cana-2483	174	40	analysing	analyse	VERB
cana-2483	174	41	sequence	sequence	NOUN
cana-2483	174	42	data	datum	NOUN
cana-2483	174	43	.	.	PUNCT
cana-2483	175	1	incorporating	incorporate	VERB
cana-2483	175	2	temporal	temporal	ADJ
cana-2483	175	3	analysis	analysis	NOUN
cana-2483	175	4	into	into	ADP
cana-2483	175	5	such	such	DET
cana-2483	175	6	a	a	DET
cana-2483	175	7	hybrid	hybrid	ADJ
cana-2483	175	8	model	model	NOUN
cana-2483	175	9	would	would	AUX
cana-2483	175	10	enable	enable	VERB
cana-2483	175	11	it	it	PRON
cana-2483	175	12	better	well	ADJ
cana-2483	175	13	to	to	PART
cana-2483	175	14	model	model	VERB
cana-2483	175	15	the	the	DET
cana-2483	175	16	delicate	delicate	ADJ
cana-2483	175	17	temporal	temporal	ADJ
cana-2483	175	18	patterns	pattern	NOUN
cana-2483	175	19	of	of	ADP
cana-2483	175	20	aortic	aortic	ADJ
cana-2483	175	21	stenosis	stenosis	NOUN
cana-2483	175	22	.	.	PUNCT
cana-2483	176	1	4.4	4.4	NUM
cana-2483	176	2	long	long	ADJ
cana-2483	176	3	short	short	ADJ
cana-2483	176	4	-	-	PUNCT
cana-2483	176	5	term	term	NOUN
cana-2483	176	6	memory	memory	NOUN
cana-2483	176	7	(	(	PUNCT
cana-2483	176	8	lstm	lstm	NOUN
cana-2483	176	9	)	)	PUNCT
cana-2483	176	10	we	we	PRON
cana-2483	176	11	found	find	VERB
cana-2483	176	12	a	a	DET
cana-2483	176	13	standalone	standalone	ADJ
cana-2483	176	14	long	long	ADJ
cana-2483	176	15	short	short	ADJ
cana-2483	176	16	-	-	PUNCT
cana-2483	176	17	term	term	NOUN
cana-2483	176	18	memory	memory	NOUN
cana-2483	176	19	(	(	PUNCT
cana-2483	176	20	lstm	lstm	NOUN
cana-2483	176	21	)	)	PUNCT
cana-2483	176	22	model	model	NOUN
cana-2483	176	23	promising	promise	VERB
cana-2483	176	24	in	in	ADP
cana-2483	176	25	its	its	PRON
cana-2483	176	26	ability	ability	NOUN
cana-2483	176	27	to	to	PART
cana-2483	176	28	diagnose	diagnose	VERB
cana-2483	176	29	and	and	CCONJ
cana-2483	176	30	detect	detect	VERB
cana-2483	176	31	aortic	aortic	ADJ
cana-2483	176	32	stenosis	stenosis	NOUN
cana-2483	176	33	when	when	SCONJ
cana-2483	176	34	applied	apply	VERB
cana-2483	176	35	to	to	ADP
cana-2483	176	36	a	a	DET
cana-2483	176	37	complete	complete	ADJ
cana-2483	176	38	12	12	NUM
cana-2483	176	39	-	-	PUNCT
cana-2483	176	40	lead	lead	NOUN
cana-2483	176	41	electrocardiogram	electrocardiogram	NOUN
cana-2483	176	42	(	(	PUNCT
cana-2483	176	43	ecg	ecg	PROPN
cana-2483	176	44	)	)	PUNCT
cana-2483	176	45	database	database	NOUN
cana-2483	176	46	.	.	PUNCT
cana-2483	177	1	this	this	DET
cana-2483	177	2	model	model	NOUN
cana-2483	177	3	learned	learn	VERB
cana-2483	177	4	how	how	SCONJ
cana-2483	177	5	the	the	DET
cana-2483	177	6	signals	signal	NOUN
cana-2483	177	7	changed	change	VERB
cana-2483	177	8	over	over	ADP
cana-2483	177	9	time	time	NOUN
cana-2483	177	10	and	and	CCONJ
cana-2483	177	11	demonstrated	demonstrate	VERB
cana-2483	177	12	its	its	PRON
cana-2483	177	13	strength	strength	NOUN
cana-2483	177	14	by	by	ADP
cana-2483	177	15	capturing	capture	VERB
cana-2483	177	16	the	the	DET
cana-2483	177	17	temporal	temporal	ADJ
cana-2483	177	18	patterns	pattern	NOUN
cana-2483	177	19	in	in	ADP
cana-2483	177	20	the	the	DET
cana-2483	177	21	ecg	ecg	PROPN
cana-2483	177	22	signals	signal	NOUN
cana-2483	177	23	.	.	PUNCT
cana-2483	178	1	the	the	DET
cana-2483	178	2	lstm	lstm	PROPN
cana-2483	178	3	model	model	NOUN
cana-2483	178	4	was	be	AUX
cana-2483	178	5	able	able	ADJ
cana-2483	178	6	to	to	PART
cana-2483	178	7	model	model	VERB
cana-2483	178	8	these	these	DET
cana-2483	178	9	temporal	temporal	ADJ
cana-2483	178	10	dynamics	dynamic	NOUN
cana-2483	178	11	well	well	ADV
cana-2483	178	12	but	but	CCONJ
cana-2483	178	13	could	could	AUX
cana-2483	178	14	not	not	PART
cana-2483	178	15	extract	extract	VERB
cana-2483	178	16	the	the	DET
cana-2483	178	17	spatial	spatial	ADJ
cana-2483	178	18	features	feature	NOUN
cana-2483	178	19	of	of	ADP
cana-2483	178	20	the	the	DET
cana-2483	178	21	ecg	ecg	PROPN
cana-2483	178	22	signals	signal	NOUN
cana-2483	178	23	.	.	PUNCT
cana-2483	179	1	this	this	DET
cana-2483	179	2	approach	approach	NOUN
cana-2483	179	3	was	be	AUX
cana-2483	179	4	limited	limit	VERB
cana-2483	179	5	when	when	SCONJ
cana-2483	179	6	compared	compare	VERB
cana-2483	179	7	to	to	ADP
cana-2483	179	8	the	the	DET
cana-2483	179	9	performance	performance	NOUN
cana-2483	179	10	of	of	ADP
cana-2483	179	11	the	the	DET
cana-2483	179	12	cnn	cnn	PROPN
cana-2483	179	13	-	-	PUNCT
cana-2483	179	14	rnn	rnn	PROPN
cana-2483	179	15	-	-	PUNCT
cana-2483	179	16	lstm	lstm	ADJ
cana-2483	179	17	hybrid	hybrid	NOUN
cana-2483	179	18	model	model	NOUN
cana-2483	179	19	.	.	PUNCT
cana-2483	180	1	the	the	DET
cana-2483	180	2	hybrid	hybrid	NOUN
cana-2483	180	3	model	model	NOUN
cana-2483	180	4	combines	combine	VERB
cana-2483	180	5	neural	neural	ADJ
cana-2483	180	6	network	network	NOUN
cana-2483	180	7	architectures	architecture	NOUN
cana-2483	180	8	with	with	ADP
cana-2483	180	9	convolutional	convolutional	ADJ
cana-2483	180	10	and	and	CCONJ
cana-2483	180	11	recurrent	recurrent	ADJ
cana-2483	180	12	layers	layer	NOUN
cana-2483	180	13	(	(	PUNCT
cana-2483	180	14	specifically	specifically	ADV
cana-2483	180	15	lstms	lstms	ADJ
cana-2483	180	16	)	)	PUNCT
cana-2483	180	17	.	.	PUNCT
cana-2483	181	1	convolutional	convolutional	ADJ
cana-2483	181	2	layers	layer	NOUN
cana-2483	181	3	in	in	ADP
cana-2483	181	4	spatial	spatial	ADJ
cana-2483	181	5	feature	feature	NOUN
cana-2483	181	6	extraction	extraction	NOUN
cana-2483	181	7	do	do	VERB
cana-2483	181	8	very	very	ADV
cana-2483	181	9	well	well	ADV
cana-2483	181	10	and	and	CCONJ
cana-2483	181	11	can	can	AUX
cana-2483	181	12	understand	understand	VERB
cana-2483	181	13	and	and	CCONJ
cana-2483	181	14	interpret	interpret	VERB
cana-2483	181	15	the	the	DET
cana-2483	181	16	spatial	spatial	ADJ
cana-2483	181	17	relations	relation	NOUN
cana-2483	181	18	and	and	CCONJ
cana-2483	181	19	patterns	pattern	NOUN
cana-2483	181	20	in	in	ADP
cana-2483	181	21	the	the	DET
cana-2483	181	22	ecg	ecg	PROPN
cana-2483	181	23	signals	signal	NOUN
cana-2483	181	24	.	.	PUNCT
cana-2483	182	1	lstm	lstm	NOUN
cana-2483	182	2	layers	layer	NOUN
cana-2483	182	3	also	also	ADV
cana-2483	182	4	have	have	VERB
cana-2483	182	5	their	their	PRON
cana-2483	182	6	strength	strength	NOUN
cana-2483	182	7	in	in	ADP
cana-2483	182	8	sequential	sequential	ADJ
cana-2483	182	9	pattern	pattern	NOUN
cana-2483	182	10	learning	learning	NOUN
cana-2483	182	11	,	,	PUNCT
cana-2483	182	12	which	which	PRON
cana-2483	182	13	means	mean	VERB
cana-2483	182	14	the	the	DET
cana-2483	182	15	data	datum	NOUN
cana-2483	182	16	can	can	AUX
cana-2483	182	17	be	be	AUX
cana-2483	182	18	analysed	analyse	VERB
cana-2483	182	19	across	across	ADP
cana-2483	182	20	time	time	NOUN
cana-2483	182	21	to	to	PART
cana-2483	182	22	determine	determine	VERB
cana-2483	182	23	how	how	SCONJ
cana-2483	182	24	a	a	DET
cana-2483	182	25	pattern	pattern	NOUN
cana-2483	182	26	affects	affect	VERB
cana-2483	182	27	it	it	PRON
cana-2483	182	28	.	.	PUNCT
cana-2483	183	1	the	the	DET
cana-2483	183	2	synergistic	synergistic	ADJ
cana-2483	183	3	approach	approach	NOUN
cana-2483	183	4	results	result	NOUN
cana-2483	183	5	in	in	ADP
cana-2483	183	6	a	a	DET
cana-2483	183	7	more	more	ADV
cana-2483	183	8	global	global	ADJ
cana-2483	183	9	and	and	CCONJ
cana-2483	183	10	more	more	ADV
cana-2483	183	11	robust	robust	ADJ
cana-2483	183	12	model	model	NOUN
cana-2483	183	13	capable	capable	ADJ
cana-2483	183	14	of	of	ADP
cana-2483	183	15	accounting	account	VERB
cana-2483	183	16	for	for	ADP
cana-2483	183	17	695	695	NUM
cana-2483	183	18	vol	vol	NOUN
cana-2483	183	19	32	32	NUM
cana-2483	183	20	no	no	NOUN
cana-2483	183	21	.	.	NOUN
cana-2483	183	22	3	3	NUM
cana-2483	183	23	(	(	PUNCT
cana-2483	183	24	2025	2025	NUM
cana-2483	183	25	)	)	PUNCT
cana-2483	183	26	communications	communication	NOUN
cana-2483	183	27	on	on	ADP
cana-2483	183	28	applied	apply	VERB
cana-2483	183	29	nonlinear	nonlinear	ADJ
cana-2483	183	30	analysis	analysis	NOUN
cana-2483	183	31	issn	issn	NOUN
cana-2483	183	32	:	:	PUNCT
cana-2483	183	33	1074	1074	NUM
cana-2483	183	34	-	-	PUNCT
cana-2483	183	35	133x	133x	PROPN
cana-2483	183	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	184	1	the	the	DET
cana-2483	184	2	temporal	temporal	ADJ
cana-2483	184	3	and	and	CCONJ
cana-2483	184	4	spatial	spatial	ADJ
cana-2483	184	5	components	component	NOUN
cana-2483	184	6	in	in	ADP
cana-2483	184	7	the	the	DET
cana-2483	184	8	ecg	ecg	PROPN
cana-2483	184	9	signals	signal	NOUN
cana-2483	184	10	and	and	CCONJ
cana-2483	184	11	,	,	PUNCT
cana-2483	184	12	at	at	ADP
cana-2483	184	13	the	the	DET
cana-2483	184	14	same	same	ADJ
cana-2483	184	15	time	time	NOUN
cana-2483	184	16	,	,	PUNCT
cana-2483	184	17	raises	raise	VERB
cana-2483	184	18	the	the	DET
cana-2483	184	19	diagnostic	diagnostic	ADJ
cana-2483	184	20	accuracy	accuracy	NOUN
cana-2483	184	21	of	of	ADP
cana-2483	184	22	aortic	aortic	ADJ
cana-2483	184	23	stenosis	stenosis	NOUN
cana-2483	184	24	.	.	PUNCT
cana-2483	185	1	4.5	4.5	NUM
cana-2483	185	2	cnn	cnn	PROPN
cana-2483	185	3	-	-	PUNCT
cana-2483	185	4	lstm	lstm	ADJ
cana-2483	185	5	hybrid	hybrid	NOUN
cana-2483	185	6	model	model	NOUN
cana-2483	185	7	to	to	PART
cana-2483	185	8	make	make	VERB
cana-2483	185	9	a	a	DET
cana-2483	185	10	significant	significant	ADJ
cana-2483	185	11	advance	advance	NOUN
cana-2483	185	12	in	in	ADP
cana-2483	185	13	the	the	DET
cana-2483	185	14	quest	quest	NOUN
cana-2483	185	15	to	to	PART
cana-2483	185	16	improve	improve	VERB
cana-2483	185	17	diagnostic	diagnostic	ADJ
cana-2483	185	18	accuracy	accuracy	NOUN
cana-2483	185	19	for	for	ADP
cana-2483	185	20	aortic	aortic	ADJ
cana-2483	185	21	stenosis	stenosis	NOUN
cana-2483	185	22	,	,	PUNCT
cana-2483	185	23	a	a	DET
cana-2483	185	24	largescale	largescale	NOUN
cana-2483	185	25	12	12	NUM
cana-2483	185	26	-	-	PUNCT
cana-2483	185	27	lead	lead	NOUN
cana-2483	185	28	electrocardiogram	electrocardiogram	NOUN
cana-2483	185	29	(	(	PUNCT
cana-2483	185	30	ecg	ecg	PROPN
cana-2483	185	31	)	)	PUNCT
cana-2483	185	32	database	database	NOUN
cana-2483	185	33	has	have	AUX
cana-2483	185	34	been	be	AUX
cana-2483	185	35	used	use	VERB
cana-2483	185	36	.	.	PUNCT
cana-2483	186	1	significant	significant	ADJ
cana-2483	186	2	improvement	improvement	NOUN
cana-2483	186	3	over	over	ADP
cana-2483	186	4	a	a	DET
cana-2483	186	5	conventional	conventional	ADJ
cana-2483	186	6	standalone	standalone	ADJ
cana-2483	186	7	convolutional	convolutional	ADJ
cana-2483	186	8	neural	neural	ADJ
cana-2483	186	9	network	network	NOUN
cana-2483	186	10	(	(	PUNCT
cana-2483	186	11	cnn	cnn	PROPN
cana-2483	186	12	)	)	PUNCT
cana-2483	186	13	and	and	CCONJ
cana-2483	186	14	long	long	ADJ
cana-2483	186	15	short	short	ADJ
cana-2483	186	16	-	-	PUNCT
cana-2483	186	17	term	term	NOUN
cana-2483	186	18	memory	memory	NOUN
cana-2483	186	19	(	(	PUNCT
cana-2483	186	20	lstm	lstm	NOUN
cana-2483	186	21	)	)	PUNCT
cana-2483	186	22	models	model	NOUN
cana-2483	186	23	has	have	AUX
cana-2483	186	24	been	be	AUX
cana-2483	186	25	achieved	achieve	VERB
cana-2483	186	26	by	by	ADP
cana-2483	186	27	a	a	DET
cana-2483	186	28	cnn	cnn	PROPN
cana-2483	186	29	-	-	PUNCT
cana-2483	186	30	lstm	lstm	ADJ
cana-2483	186	31	hybrid	hybrid	NOUN
cana-2483	186	32	model	model	NOUN
cana-2483	186	33	that	that	PRON
cana-2483	186	34	does	do	AUX
cana-2483	186	35	not	not	PART
cana-2483	186	36	require	require	VERB
cana-2483	186	37	an	an	DET
cana-2483	186	38	intermediate	intermediate	ADJ
cana-2483	186	39	recurrent	recurrent	ADJ
cana-2483	186	40	neural	neural	ADJ
cana-2483	186	41	network	network	NOUN
cana-2483	186	42	(	(	PUNCT
cana-2483	186	43	rnn	rnn	PROPN
cana-2483	186	44	)	)	PUNCT
cana-2483	186	45	layer	layer	NOUN
cana-2483	186	46	.	.	PUNCT
cana-2483	187	1	this	this	DET
cana-2483	187	2	hybrid	hybrid	ADJ
cana-2483	187	3	architecture	architecture	NOUN
cana-2483	187	4	is	be	AUX
cana-2483	187	5	novel	novel	ADJ
cana-2483	187	6	in	in	ADP
cana-2483	187	7	its	its	PRON
cana-2483	187	8	ability	ability	NOUN
cana-2483	187	9	to	to	PART
cana-2483	187	10	simultaneously	simultaneously	ADV
cana-2483	187	11	capture	capture	VERB
cana-2483	187	12	the	the	DET
cana-2483	187	13	delicate	delicate	ADJ
cana-2483	187	14	spatial	spatial	ADJ
cana-2483	187	15	patterns	pattern	NOUN
cana-2483	187	16	across	across	ADP
cana-2483	187	17	the	the	DET
cana-2483	187	18	various	various	ADJ
cana-2483	187	19	ecg	ecg	PROPN
cana-2483	187	20	leads	lead	VERB
cana-2483	187	21	and	and	CCONJ
cana-2483	187	22	appropriately	appropriately	ADV
cana-2483	187	23	model	model	VERB
cana-2483	187	24	the	the	DET
cana-2483	187	25	temporal	temporal	ADJ
cana-2483	187	26	dependencies	dependency	NOUN
cana-2483	187	27	in	in	ADP
cana-2483	187	28	ecg	ecg	PROPN
cana-2483	187	29	signal	signal	NOUN
cana-2483	187	30	dynamics	dynamic	NOUN
cana-2483	187	31	.	.	PUNCT
cana-2483	188	1	despite	despite	SCONJ
cana-2483	188	2	being	be	AUX
cana-2483	188	3	a	a	DET
cana-2483	188	4	more	more	ADV
cana-2483	188	5	lightweight	lightweight	ADJ
cana-2483	188	6	and	and	CCONJ
cana-2483	188	7	hybrid	hybrid	ADJ
cana-2483	188	8	architecture	architecture	NOUN
cana-2483	188	9	,	,	PUNCT
cana-2483	188	10	this	this	DET
cana-2483	188	11	hybrid	hybrid	NOUN
cana-2483	188	12	has	have	AUX
cana-2483	188	13	resulted	result	VERB
cana-2483	188	14	in	in	ADP
cana-2483	188	15	a	a	DET
cana-2483	188	16	marginal	marginal	ADJ
cana-2483	188	17	decrease	decrease	NOUN
cana-2483	188	18	in	in	ADP
cana-2483	188	19	precision	precision	NOUN
cana-2483	188	20	and	and	CCONJ
cana-2483	188	21	recall	recall	NOUN
cana-2483	188	22	metrics	metric	NOUN
cana-2483	188	23	compared	compare	VERB
cana-2483	188	24	to	to	ADP
cana-2483	188	25	higher	high	ADJ
cana-2483	188	26	complexity	complexity	NOUN
cana-2483	188	27	models	model	NOUN
cana-2483	188	28	like	like	ADP
cana-2483	188	29	the	the	DET
cana-2483	188	30	cnn	cnn	PROPN
cana-2483	188	31	-	-	PUNCT
cana-2483	188	32	rnn	rnn	PROPN
cana-2483	188	33	-	-	PUNCT
cana-2483	188	34	lstm	lstm	NOUN
cana-2483	188	35	.	.	PUNCT
cana-2483	189	1	the	the	DET
cana-2483	189	2	latter	latter	ADJ
cana-2483	189	3	framework	framework	NOUN
cana-2483	189	4	offers	offer	VERB
cana-2483	189	5	a	a	DET
cana-2483	189	6	richer	rich	ADJ
cana-2483	189	7	and	and	CCONJ
cana-2483	189	8	more	more	ADV
cana-2483	189	9	nuanced	nuanced	ADJ
cana-2483	189	10	view	view	NOUN
cana-2483	189	11	of	of	ADP
cana-2483	189	12	the	the	DET
cana-2483	189	13	data	datum	NOUN
cana-2483	189	14	and	and	CCONJ
cana-2483	189	15	a	a	DET
cana-2483	189	16	more	more	ADV
cana-2483	189	17	complete	complete	ADJ
cana-2483	189	18	integration	integration	NOUN
cana-2483	189	19	of	of	ADP
cana-2483	189	20	spatial	spatial	ADJ
cana-2483	189	21	and	and	CCONJ
cana-2483	189	22	temporal	temporal	ADJ
cana-2483	189	23	features	feature	NOUN
cana-2483	189	24	.	.	PUNCT
cana-2483	190	1	therefore	therefore	ADV
cana-2483	190	2	,	,	PUNCT
cana-2483	190	3	this	this	DET
cana-2483	190	4	more	more	ADV
cana-2483	190	5	accurate	accurate	ADJ
cana-2483	190	6	model	model	NOUN
cana-2483	190	7	is	be	AUX
cana-2483	190	8	a	a	DET
cana-2483	190	9	better	well	ADJ
cana-2483	190	10	diagnostic	diagnostic	ADJ
cana-2483	190	11	tool	tool	NOUN
cana-2483	190	12	for	for	ADP
cana-2483	190	13	clinicians	clinician	NOUN
cana-2483	190	14	trying	try	VERB
cana-2483	190	15	to	to	PART
cana-2483	190	16	diagnose	diagnose	VERB
cana-2483	190	17	a	a	DET
cana-2483	190	18	patient	patient	NOUN
cana-2483	190	19	with	with	ADP
cana-2483	190	20	aortic	aortic	ADJ
cana-2483	190	21	stenosis	stenosis	NOUN
cana-2483	190	22	.	.	PUNCT
cana-2483	191	1	the	the	DET
cana-2483	191	2	results	result	NOUN
cana-2483	191	3	suggest	suggest	VERB
cana-2483	191	4	a	a	DET
cana-2483	191	5	trade	trade	NOUN
cana-2483	191	6	-	-	PUNCT
cana-2483	191	7	off	off	NOUN
cana-2483	191	8	between	between	ADP
cana-2483	191	9	model	model	NOUN
cana-2483	191	10	complexity	complexity	NOUN
cana-2483	191	11	and	and	CCONJ
cana-2483	191	12	performance	performance	NOUN
cana-2483	191	13	and	and	CCONJ
cana-2483	191	14	that	that	SCONJ
cana-2483	191	15	simpler	simple	ADJ
cana-2483	191	16	models	model	NOUN
cana-2483	191	17	are	be	AUX
cana-2483	191	18	beneficial	beneficial	ADJ
cana-2483	191	19	but	but	CCONJ
cana-2483	191	20	that	that	SCONJ
cana-2483	191	21	more	more	ADJ
cana-2483	191	22	layers	layer	NOUN
cana-2483	191	23	may	may	AUX
cana-2483	191	24	be	be	AUX
cana-2483	191	25	required	require	VERB
cana-2483	191	26	to	to	PART
cana-2483	191	27	achieve	achieve	VERB
cana-2483	191	28	optimal	optimal	ADJ
cana-2483	191	29	diagnostic	diagnostic	ADJ
cana-2483	191	30	outcomes	outcome	NOUN
cana-2483	191	31	in	in	ADP
cana-2483	191	32	complex	complex	ADJ
cana-2483	191	33	medical	medical	ADJ
cana-2483	191	34	settings	setting	NOUN
cana-2483	191	35	.	.	PUNCT
cana-2483	192	1	4.6	4.6	NUM
cana-2483	192	2	proposed	propose	VERB
cana-2483	192	3	cnn	cnn	PROPN
cana-2483	192	4	-	-	PUNCT
cana-2483	192	5	rnn	rnn	PROPN
cana-2483	192	6	-	-	PUNCT
cana-2483	192	7	lstm	lstm	ADJ
cana-2483	192	8	hybrid	hybrid	NOUN
cana-2483	192	9	model	model	NOUN
cana-2483	192	10	the	the	DET
cana-2483	192	11	cnn	cnn	PROPN
cana-2483	192	12	-	-	PUNCT
cana-2483	192	13	rnn	rnn	PROPN
cana-2483	192	14	-	-	PUNCT
cana-2483	192	15	lstm	lstm	ADJ
cana-2483	192	16	hybrid	hybrid	NOUN
cana-2483	192	17	model	model	NOUN
cana-2483	192	18	is	be	AUX
cana-2483	192	19	a	a	DET
cana-2483	192	20	ground	ground	NOUN
cana-2483	192	21	-	-	PUNCT
cana-2483	192	22	breaking	break	VERB
cana-2483	192	23	methodology	methodology	NOUN
cana-2483	192	24	in	in	ADP
cana-2483	192	25	medical	medical	ADJ
cana-2483	192	26	diagnostics	diagnostic	NOUN
cana-2483	192	27	.	.	PUNCT
cana-2483	193	1	it	it	PRON
cana-2483	193	2	is	be	AUX
cana-2483	193	3	beneficial	beneficial	ADJ
cana-2483	193	4	for	for	ADP
cana-2483	193	5	aortic	aortic	ADJ
cana-2483	193	6	stenosis	stenosis	NOUN
cana-2483	193	7	diagnosis	diagnosis	NOUN
cana-2483	193	8	from	from	ADP
cana-2483	193	9	a	a	DET
cana-2483	193	10	complete	complete	ADJ
cana-2483	193	11	12	12	NUM
cana-2483	193	12	-	-	PUNCT
cana-2483	193	13	lead	lead	NOUN
cana-2483	193	14	electrocardiogram	electrocardiogram	NOUN
cana-2483	193	15	(	(	PUNCT
cana-2483	193	16	ecg	ecg	PROPN
cana-2483	193	17	)	)	PUNCT
cana-2483	193	18	database	database	NOUN
cana-2483	193	19	.	.	PUNCT
cana-2483	194	1	this	this	DET
cana-2483	194	2	model	model	NOUN
cana-2483	194	3	had	have	VERB
cana-2483	194	4	a	a	DET
cana-2483	194	5	high	high	ADJ
cana-2483	194	6	accuracy	accuracy	NOUN
cana-2483	194	7	rate	rate	NOUN
cana-2483	194	8	of	of	ADP
cana-2483	194	9	87	87	NUM
cana-2483	194	10	%	%	NOUN
cana-2483	194	11	on	on	ADP
cana-2483	194	12	testing	testing	NOUN
cana-2483	194	13	datasets	dataset	NOUN
cana-2483	194	14	and	and	CCONJ
cana-2483	194	15	a	a	DET
cana-2483	194	16	high	high	ADJ
cana-2483	194	17	f1	f1	NOUN
cana-2483	194	18	score	score	NOUN
cana-2483	194	19	,	,	PUNCT
cana-2483	194	20	and	and	CCONJ
cana-2483	194	21	this	this	PRON
cana-2483	194	22	shows	show	VERB
cana-2483	194	23	that	that	SCONJ
cana-2483	194	24	the	the	DET
cana-2483	194	25	model	model	NOUN
cana-2483	194	26	can	can	AUX
cana-2483	194	27	be	be	AUX
cana-2483	194	28	used	use	VERB
cana-2483	194	29	in	in	ADP
cana-2483	194	30	such	such	DET
cana-2483	194	31	an	an	DET
cana-2483	194	32	important	important	ADJ
cana-2483	194	33	field	field	NOUN
cana-2483	194	34	in	in	ADP
cana-2483	194	35	healthcare	healthcare	PROPN
cana-2483	194	36	.	.	PUNCT
cana-2483	195	1	the	the	DET
cana-2483	195	2	success	success	NOUN
cana-2483	195	3	of	of	ADP
cana-2483	195	4	this	this	DET
cana-2483	195	5	model	model	NOUN
cana-2483	195	6	is	be	AUX
cana-2483	195	7	due	due	ADJ
cana-2483	195	8	to	to	ADP
cana-2483	195	9	its	its	PRON
cana-2483	195	10	innovative	innovative	ADJ
cana-2483	195	11	architecture	architecture	NOUN
cana-2483	195	12	,	,	PUNCT
cana-2483	195	13	which	which	PRON
cana-2483	195	14	uniquely	uniquely	ADV
cana-2483	195	15	synergistically	synergistically	ADV
cana-2483	195	16	combines	combine	VERB
cana-2483	195	17	convolutional	convolutional	ADJ
cana-2483	195	18	neural	neural	ADJ
cana-2483	195	19	networks	network	NOUN
cana-2483	195	20	(	(	PUNCT
cana-2483	195	21	cnns	cnns	PROPN
cana-2483	195	22	)	)	PUNCT
cana-2483	195	23	with	with	ADP
cana-2483	195	24	recurrent	recurrent	ADJ
cana-2483	195	25	neural	neural	ADJ
cana-2483	195	26	networks	network	NOUN
cana-2483	195	27	(	(	PUNCT
cana-2483	195	28	rnns	rnns	PROPN
cana-2483	195	29	)	)	PUNCT
cana-2483	195	30	and	and	CCONJ
cana-2483	195	31	long	long	ADJ
cana-2483	195	32	short	short	ADJ
cana-2483	195	33	term	term	NOUN
cana-2483	195	34	memories	memory	NOUN
cana-2483	195	35	(	(	PUNCT
cana-2483	195	36	lstm	lstm	NOUN
cana-2483	195	37	)	)	PUNCT
cana-2483	195	38	networks	network	NOUN
cana-2483	195	39	.	.	PUNCT
cana-2483	196	1	the	the	DET
cana-2483	196	2	model	model	NOUN
cana-2483	196	3	can	can	AUX
cana-2483	196	4	detect	detect	VERB
cana-2483	196	5	slight	slight	ADJ
cana-2483	196	6	changes	change	NOUN
cana-2483	196	7	and	and	CCONJ
cana-2483	196	8	characteristics	characteristic	NOUN
cana-2483	196	9	of	of	ADP
cana-2483	196	10	ecg	ecg	PROPN
cana-2483	196	11	signals	signal	NOUN
cana-2483	196	12	that	that	PRON
cana-2483	196	13	might	might	AUX
cana-2483	196	14	be	be	AUX
cana-2483	196	15	related	relate	VERB
cana-2483	196	16	to	to	ADP
cana-2483	196	17	aortic	aortic	ADJ
cana-2483	196	18	stenosis	stenosis	NOUN
cana-2483	196	19	,	,	PUNCT
cana-2483	196	20	and	and	CCONJ
cana-2483	196	21	cnn	cnn	PROPN
cana-2483	196	22	layers	layer	NOUN
cana-2483	196	23	are	be	AUX
cana-2483	196	24	good	good	ADJ
cana-2483	196	25	at	at	ADP
cana-2483	196	26	extracting	extract	VERB
cana-2483	196	27	spatial	spatial	ADJ
cana-2483	196	28	features	feature	NOUN
cana-2483	196	29	of	of	ADP
cana-2483	196	30	ecg	ecg	PROPN
cana-2483	196	31	signals	signal	NOUN
cana-2483	196	32	.	.	PUNCT
cana-2483	197	1	however	however	ADV
cana-2483	197	2	,	,	PUNCT
cana-2483	197	3	the	the	DET
cana-2483	197	4	rnn	rnn	PROPN
cana-2483	197	5	and	and	CCONJ
cana-2483	197	6	lstm	lstm	NOUN
cana-2483	197	7	components	component	NOUN
cana-2483	197	8	do	do	VERB
cana-2483	197	9	a	a	DET
cana-2483	197	10	great	great	ADJ
cana-2483	197	11	job	job	NOUN
cana-2483	197	12	of	of	ADP
cana-2483	197	13	solving	solve	VERB
cana-2483	197	14	the	the	DET
cana-2483	197	15	task	task	NOUN
cana-2483	197	16	,	,	PUNCT
cana-2483	197	17	which	which	PRON
cana-2483	197	18	deals	deal	VERB
cana-2483	197	19	with	with	ADP
cana-2483	197	20	the	the	DET
cana-2483	197	21	complex	complex	ADJ
cana-2483	197	22	temporal	temporal	ADJ
cana-2483	197	23	dependencies	dependency	NOUN
cana-2483	197	24	we	we	PRON
cana-2483	197	25	see	see	VERB
cana-2483	197	26	in	in	ADP
cana-2483	197	27	ecg	ecg	PROPN
cana-2483	197	28	data	data	PROPN
cana-2483	197	29	.	.	PUNCT
cana-2483	198	1	the	the	DET
cana-2483	198	2	dual	dual	ADJ
cana-2483	198	3	approach	approach	NOUN
cana-2483	198	4	of	of	ADP
cana-2483	198	5	this	this	DET
cana-2483	198	6	model	model	NOUN
cana-2483	198	7	enables	enable	VERB
cana-2483	198	8	it	it	PRON
cana-2483	198	9	to	to	PART
cana-2483	198	10	learn	learn	VERB
cana-2483	198	11	subtle	subtle	ADJ
cana-2483	198	12	patterns	pattern	NOUN
cana-2483	198	13	essential	essential	ADJ
cana-2483	198	14	for	for	ADP
cana-2483	198	15	a	a	DET
cana-2483	198	16	correct	correct	ADJ
cana-2483	198	17	diagnosis	diagnosis	NOUN
cana-2483	198	18	.	.	PUNCT
cana-2483	199	1	we	we	PRON
cana-2483	199	2	integrate	integrate	VERB
cana-2483	199	3	these	these	DET
cana-2483	199	4	disparate	disparate	ADJ
cana-2483	199	5	architectures	architecture	NOUN
cana-2483	199	6	to	to	PART
cana-2483	199	7	extract	extract	VERB
cana-2483	199	8	fine	fine	ADJ
cana-2483	199	9	signal	signal	NOUN
cana-2483	199	10	features	feature	NOUN
cana-2483	199	11	and	and	CCONJ
cana-2483	199	12	long	long	ADJ
cana-2483	199	13	-	-	PUNCT
cana-2483	199	14	range	range	NOUN
cana-2483	199	15	temporal	temporal	ADJ
cana-2483	199	16	information	information	NOUN
cana-2483	199	17	necessary	necessary	ADJ
cana-2483	199	18	for	for	ADP
cana-2483	199	19	accurate	accurate	ADJ
cana-2483	199	20	aortic	aortic	ADJ
cana-2483	199	21	stenosis	stenosis	NOUN
cana-2483	199	22	identification	identification	NOUN
cana-2483	199	23	.	.	PUNCT
cana-2483	200	1	thus	thus	ADV
cana-2483	200	2	,	,	PUNCT
cana-2483	200	3	the	the	DET
cana-2483	200	4	hybrid	hybrid	NOUN
cana-2483	200	5	model	model	NOUN
cana-2483	200	6	has	have	AUX
cana-2483	200	7	performed	perform	VERB
cana-2483	200	8	better	well	ADV
cana-2483	200	9	than	than	ADP
cana-2483	200	10	traditional	traditional	ADJ
cana-2483	200	11	machine	machine	NOUN
cana-2483	200	12	learning	learn	VERB
cana-2483	200	13	methods	method	NOUN
cana-2483	200	14	and	and	CCONJ
cana-2483	200	15	single	single	ADJ
cana-2483	200	16	architecture	architecture	NOUN
cana-2483	200	17	deep	deep	ADJ
cana-2483	200	18	learning	learning	NOUN
cana-2483	200	19	models	model	NOUN
cana-2483	200	20	in	in	ADP
cana-2483	200	21	sensitivity	sensitivity	NOUN
cana-2483	200	22	and	and	CCONJ
cana-2483	200	23	specificity	specificity	NOUN
cana-2483	200	24	of	of	ADP
cana-2483	200	25	detection	detection	NOUN
cana-2483	200	26	of	of	ADP
cana-2483	200	27	this	this	DET
cana-2483	200	28	condition	condition	NOUN
cana-2483	200	29	.	.	PUNCT
cana-2483	201	1	a	a	DET
cana-2483	201	2	layered	layered	ADJ
cana-2483	201	3	architecture	architecture	NOUN
cana-2483	201	4	is	be	AUX
cana-2483	201	5	used	use	VERB
cana-2483	201	6	to	to	PART
cana-2483	201	7	build	build	VERB
cana-2483	201	8	the	the	DET
cana-2483	201	9	model	model	NOUN
cana-2483	201	10	,	,	PUNCT
cana-2483	201	11	which	which	PRON
cana-2483	201	12	produces	produce	VERB
cana-2483	201	13	a	a	DET
cana-2483	201	14	robust	robust	ADJ
cana-2483	201	15	representation	representation	NOUN
cana-2483	201	16	of	of	ADP
cana-2483	201	17	the	the	DET
cana-2483	201	18	ecg	ecg	PROPN
cana-2483	201	19	signals	signal	NOUN
cana-2483	201	20	with	with	ADP
cana-2483	201	21	high	high	ADJ
cana-2483	201	22	recall	recall	NOUN
cana-2483	201	23	rates	rate	NOUN
cana-2483	201	24	and	and	CCONJ
cana-2483	201	25	intense	intense	ADJ
cana-2483	201	26	precision	precision	NOUN
cana-2483	201	27	.	.	PUNCT
cana-2483	202	1	this	this	DET
cana-2483	202	2	balance	balance	NOUN
cana-2483	202	3	of	of	ADP
cana-2483	202	4	information	information	NOUN
cana-2483	202	5	is	be	AUX
cana-2483	202	6	essential	essential	ADJ
cana-2483	202	7	for	for	ADP
cana-2483	202	8	diagnostic	diagnostic	ADJ
cana-2483	202	9	reliability	reliability	NOUN
cana-2483	202	10	,	,	PUNCT
cana-2483	202	11	especially	especially	ADV
cana-2483	202	12	in	in	ADP
cana-2483	202	13	reducing	reduce	VERB
cana-2483	202	14	the	the	DET
cana-2483	202	15	risk	risk	NOUN
cana-2483	202	16	of	of	ADP
cana-2483	202	17	clinical	clinical	ADJ
cana-2483	202	18	false	false	ADJ
cana-2483	202	19	negatives	negative	NOUN
cana-2483	202	20	and	and	CCONJ
cana-2483	202	21	positives	positive	NOUN
cana-2483	202	22	.	.	PUNCT
cana-2483	203	1	this	this	DET
cana-2483	203	2	model	model	NOUN
cana-2483	203	3	's	's	PART
cana-2483	203	4	ability	ability	NOUN
cana-2483	203	5	to	to	PART
cana-2483	203	6	accurately	accurately	ADV
cana-2483	203	7	capture	capture	VERB
cana-2483	203	8	delicate	delicate	ADJ
cana-2483	203	9	spatial	spatial	ADJ
cana-2483	203	10	and	and	CCONJ
cana-2483	203	11	temporal	temporal	ADJ
cana-2483	203	12	patterns	pattern	NOUN
cana-2483	203	13	in	in	ADP
cana-2483	203	14	ecg	ecg	PROPN
cana-2483	203	15	data	datum	NOUN
cana-2483	203	16	improves	improve	VERB
cana-2483	203	17	its	its	PRON
cana-2483	203	18	diagnostic	diagnostic	ADJ
cana-2483	203	19	accuracy	accuracy	NOUN
cana-2483	203	20	.	.	PUNCT
cana-2483	204	1	it	it	PRON
cana-2483	204	2	suggests	suggest	VERB
cana-2483	204	3	its	its	PRON
cana-2483	204	4	potential	potential	NOUN
cana-2483	204	5	for	for	ADP
cana-2483	204	6	broader	broad	ADJ
cana-2483	204	7	applications	application	NOUN
cana-2483	204	8	in	in	ADP
cana-2483	204	9	medical	medical	ADJ
cana-2483	204	10	diagnostics	diagnostic	NOUN
cana-2483	204	11	where	where	SCONJ
cana-2483	204	12	high	high	ADJ
cana-2483	204	13	sensitivity	sensitivity	NOUN
cana-2483	204	14	and	and	CCONJ
cana-2483	204	15	precision	precision	NOUN
cana-2483	204	16	are	be	AUX
cana-2483	204	17	needed	need	VERB
cana-2483	204	18	.	.	PUNCT
cana-2483	205	1	we	we	PRON
cana-2483	205	2	finally	finally	ADV
cana-2483	205	3	demonstrate	demonstrate	VERB
cana-2483	205	4	that	that	SCONJ
cana-2483	205	5	the	the	DET
cana-2483	205	6	cnn	cnn	PROPN
cana-2483	205	7	-	-	PUNCT
cana-2483	205	8	rnn	rnn	PROPN
cana-2483	205	9	-	-	PUNCT
cana-2483	205	10	lstm	lstm	ADJ
cana-2483	205	11	hybrid	hybrid	NOUN
cana-2483	205	12	model	model	NOUN
cana-2483	205	13	is	be	AUX
cana-2483	205	14	a	a	DET
cana-2483	205	15	robust	robust	ADJ
cana-2483	205	16	diagnostic	diagnostic	ADJ
cana-2483	205	17	tool	tool	NOUN
cana-2483	205	18	for	for	ADP
cana-2483	205	19	aortic	aortic	ADJ
cana-2483	205	20	stenosis	stenosis	NOUN
cana-2483	205	21	and	and	CCONJ
cana-2483	205	22	can	can	AUX
cana-2483	205	23	be	be	AUX
cana-2483	205	24	used	use	VERB
cana-2483	205	25	in	in	ADP
cana-2483	205	26	the	the	DET
cana-2483	205	27	clinic	clinic	NOUN
cana-2483	205	28	for	for	ADP
cana-2483	205	29	reliable	reliable	ADJ
cana-2483	205	30	detection	detection	NOUN
cana-2483	205	31	.	.	PUNCT
cana-2483	206	1	its	its	PRON
cana-2483	206	2	innovative	innovative	ADJ
cana-2483	206	3	design	design	NOUN
cana-2483	206	4	and	and	CCONJ
cana-2483	206	5	improved	improved	ADJ
cana-2483	206	6	performance	performance	NOUN
cana-2483	206	7	will	will	AUX
cana-2483	206	8	provide	provide	VERB
cana-2483	206	9	a	a	DET
cana-2483	206	10	significant	significant	ADJ
cana-2483	206	11	step	step	NOUN
cana-2483	206	12	forward	forward	ADV
cana-2483	206	13	in	in	ADP
cana-2483	206	14	cardiology	cardiology	NOUN
cana-2483	206	15	and	and	CCONJ
cana-2483	206	16	the	the	DET
cana-2483	206	17	potential	potential	NOUN
cana-2483	206	18	for	for	ADP
cana-2483	206	19	better	well	ADJ
cana-2483	206	20	patient	patient	ADJ
cana-2483	206	21	outcomes	outcome	NOUN
cana-2483	206	22	through	through	ADP
cana-2483	206	23	faster	fast	ADJ
cana-2483	206	24	and	and	CCONJ
cana-2483	206	25	more	more	ADV
cana-2483	206	26	accurate	accurate	ADJ
cana-2483	206	27	diagnosis	diagnosis	NOUN
cana-2483	206	28	.	.	PUNCT
cana-2483	207	1	696	696	NUM
cana-2483	207	2	vol	vol	NOUN
cana-2483	207	3	32	32	NUM
cana-2483	207	4	no	no	NOUN
cana-2483	207	5	.	.	NOUN
cana-2483	207	6	3	3	NUM
cana-2483	207	7	(	(	PUNCT
cana-2483	207	8	2025	2025	NUM
cana-2483	207	9	)	)	PUNCT
cana-2483	207	10	communications	communication	NOUN
cana-2483	207	11	on	on	ADP
cana-2483	207	12	applied	apply	VERB
cana-2483	207	13	nonlinear	nonlinear	ADJ
cana-2483	207	14	analysis	analysis	NOUN
cana-2483	207	15	issn	issn	NOUN
cana-2483	207	16	:	:	PUNCT
cana-2483	207	17	1074	1074	NUM
cana-2483	207	18	-	-	PUNCT
cana-2483	207	19	133x	133x	PROPN
cana-2483	207	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	207	21	5	5	X
cana-2483	207	22	.	.	NOUN
cana-2483	207	23	results	result	NOUN
cana-2483	207	24	and	and	CCONJ
cana-2483	207	25	discussions	discussion	NOUN
cana-2483	207	26	in	in	ADP
cana-2483	207	27	this	this	DET
cana-2483	207	28	considerable	considerable	ADJ
cana-2483	207	29	study	study	NOUN
cana-2483	207	30	,	,	PUNCT
cana-2483	207	31	we	we	PRON
cana-2483	207	32	presented	present	VERB
cana-2483	207	33	an	an	DET
cana-2483	207	34	innovative	innovative	ADJ
cana-2483	207	35	hybrid	hybrid	NOUN
cana-2483	207	36	model	model	NOUN
cana-2483	207	37	that	that	PRON
cana-2483	207	38	uses	use	VERB
cana-2483	207	39	the	the	DET
cana-2483	207	40	power	power	NOUN
cana-2483	207	41	of	of	ADP
cana-2483	207	42	convolutional	convolutional	ADJ
cana-2483	207	43	neural	neural	ADJ
cana-2483	207	44	networks	network	NOUN
cana-2483	207	45	(	(	PUNCT
cana-2483	207	46	cnn	cnn	PROPN
cana-2483	207	47	)	)	PUNCT
cana-2483	207	48	,	,	PUNCT
cana-2483	207	49	recurrent	recurrent	ADJ
cana-2483	207	50	neural	neural	ADJ
cana-2483	207	51	networks	network	NOUN
cana-2483	207	52	(	(	PUNCT
cana-2483	207	53	rnn	rnn	PROPN
cana-2483	207	54	)	)	PUNCT
cana-2483	207	55	,	,	PUNCT
cana-2483	207	56	and	and	CCONJ
cana-2483	207	57	long	long	ADJ
cana-2483	207	58	short	short	ADJ
cana-2483	207	59	term	term	NOUN
cana-2483	207	60	memory	memory	NOUN
cana-2483	207	61	(	(	PUNCT
cana-2483	207	62	lstm	lstm	NOUN
cana-2483	207	63	)	)	PUNCT
cana-2483	207	64	networks	network	NOUN
cana-2483	207	65	to	to	PART
cana-2483	207	66	detect	detect	VERB
cana-2483	207	67	aortic	aortic	ADJ
cana-2483	207	68	stenosis	stenosis	NOUN
cana-2483	207	69	from	from	ADP
cana-2483	207	70	electrocardiogram	electrocardiogram	NOUN
cana-2483	207	71	(	(	PUNCT
cana-2483	207	72	ecg	ecg	PROPN
cana-2483	207	73	)	)	PUNCT
cana-2483	207	74	signals	signal	NOUN
cana-2483	207	75	.	.	PUNCT
cana-2483	208	1	next	next	ADV
cana-2483	208	2	,	,	PUNCT
cana-2483	208	3	we	we	PRON
cana-2483	208	4	evaluated	evaluate	VERB
cana-2483	208	5	our	our	PRON
cana-2483	208	6	proposed	propose	VERB
cana-2483	208	7	model	model	NOUN
cana-2483	208	8	against	against	ADP
cana-2483	208	9	various	various	ADJ
cana-2483	208	10	traditional	traditional	ADJ
cana-2483	208	11	machine	machine	NOUN
cana-2483	208	12	learning	learn	VERB
cana-2483	208	13	algorithms	algorithm	NOUN
cana-2483	208	14	and	and	CCONJ
cana-2483	208	15	other	other	ADJ
cana-2483	208	16	contemporary	contemporary	ADJ
cana-2483	208	17	deep	deep	ADJ
cana-2483	208	18	learning	learning	NOUN
cana-2483	208	19	architectures	architecture	NOUN
cana-2483	208	20	in	in	ADP
cana-2483	208	21	a	a	DET
cana-2483	208	22	rigorous	rigorous	ADJ
cana-2483	208	23	performance	performance	NOUN
cana-2483	208	24	evaluation	evaluation	NOUN
cana-2483	208	25	.	.	PUNCT
cana-2483	209	1	to	to	PART
cana-2483	209	2	provide	provide	VERB
cana-2483	209	3	a	a	DET
cana-2483	209	4	comprehensive	comprehensive	ADJ
cana-2483	209	5	means	mean	NOUN
cana-2483	209	6	of	of	ADP
cana-2483	209	7	assessing	assess	VERB
cana-2483	209	8	the	the	DET
cana-2483	209	9	detection	detection	NOUN
cana-2483	209	10	capability	capability	NOUN
cana-2483	209	11	of	of	ADP
cana-2483	209	12	the	the	DET
cana-2483	209	13	model	model	NOUN
cana-2483	209	14	,	,	PUNCT
cana-2483	209	15	critical	critical	ADJ
cana-2483	209	16	metrics	metric	NOUN
cana-2483	209	17	for	for	ADP
cana-2483	209	18	assessing	assess	VERB
cana-2483	209	19	these	these	DET
cana-2483	209	20	models	model	NOUN
cana-2483	209	21	were	be	AUX
cana-2483	209	22	chosen	choose	VERB
cana-2483	209	23	to	to	PART
cana-2483	209	24	be	be	AUX
cana-2483	209	25	accuracy	accuracy	NOUN
cana-2483	209	26	,	,	PUNCT
cana-2483	209	27	precision	precision	NOUN
cana-2483	209	28	,	,	PUNCT
cana-2483	209	29	recall	recall	NOUN
cana-2483	209	30	,	,	PUNCT
cana-2483	209	31	and	and	CCONJ
cana-2483	209	32	f1	f1	NOUN
cana-2483	209	33	-	-	PUNCT
cana-2483	209	34	score	score	NOUN
cana-2483	209	35	.	.	PUNCT
cana-2483	210	1	each	each	DET
cana-2483	210	2	metric	metric	ADJ
cana-2483	210	3	offers	offer	VERB
cana-2483	210	4	unique	unique	ADJ
cana-2483	210	5	insights	insight	NOUN
cana-2483	210	6	:	:	PUNCT
cana-2483	210	7	the	the	DET
cana-2483	210	8	overall	overall	ADJ
cana-2483	210	9	correctness	correctness	NOUN
cana-2483	210	10	of	of	ADP
cana-2483	210	11	the	the	DET
cana-2483	210	12	model	model	NOUN
cana-2483	210	13	is	be	AUX
cana-2483	210	14	called	call	VERB
cana-2483	210	15	accuracy	accuracy	NOUN
cana-2483	210	16	,	,	PUNCT
cana-2483	210	17	the	the	DET
cana-2483	210	18	proportion	proportion	NOUN
cana-2483	210	19	of	of	ADP
cana-2483	210	20	actual	actual	ADJ
cana-2483	210	21	positive	positive	ADJ
cana-2483	210	22	results	result	NOUN
cana-2483	210	23	to	to	ADP
cana-2483	210	24	all	all	DET
cana-2483	210	25	optimistic	optimistic	ADJ
cana-2483	210	26	predictions	prediction	NOUN
cana-2483	210	27	is	be	AUX
cana-2483	210	28	precision	precision	NOUN
cana-2483	210	29	,	,	PUNCT
cana-2483	210	30	the	the	DET
cana-2483	210	31	model	model	NOUN
cana-2483	210	32	’s	’s	PART
cana-2483	210	33	ability	ability	NOUN
cana-2483	210	34	to	to	PART
cana-2483	210	35	find	find	VERB
cana-2483	210	36	all	all	DET
cana-2483	210	37	relevant	relevant	ADJ
cana-2483	210	38	instances	instance	NOUN
cana-2483	210	39	is	be	AUX
cana-2483	210	40	recall	recall	ADJ
cana-2483	210	41	,	,	PUNCT
cana-2483	210	42	and	and	CCONJ
cana-2483	210	43	the	the	DET
cana-2483	210	44	f1	f1	NOUN
cana-2483	210	45	-	-	PUNCT
cana-2483	210	46	score	score	NOUN
cana-2483	210	47	is	be	AUX
cana-2483	210	48	a	a	DET
cana-2483	210	49	harmonic	harmonic	ADJ
cana-2483	210	50	mean	mean	NOUN
cana-2483	210	51	of	of	ADP
cana-2483	210	52	precision	precision	NOUN
cana-2483	210	53	and	and	CCONJ
cana-2483	210	54	recall	recall	NOUN
cana-2483	210	55	,	,	PUNCT
cana-2483	210	56	which	which	PRON
cana-2483	210	57	is	be	AUX
cana-2483	210	58	helpful	helpful	ADJ
cana-2483	210	59	in	in	ADP
cana-2483	210	60	case	case	NOUN
cana-2483	210	61	of	of	ADP
cana-2483	210	62	imbalanced	imbalanced	ADJ
cana-2483	210	63	datasets	dataset	NOUN
cana-2483	210	64	.	.	PUNCT
cana-2483	211	1	the	the	DET
cana-2483	211	2	findings	finding	NOUN
cana-2483	211	3	of	of	ADP
cana-2483	211	4	this	this	DET
cana-2483	211	5	evaluation	evaluation	NOUN
cana-2483	211	6	are	be	AUX
cana-2483	211	7	presented	present	VERB
cana-2483	211	8	systematically	systematically	ADV
cana-2483	211	9	and	and	CCONJ
cana-2483	211	10	organised	organise	VERB
cana-2483	211	11	in	in	ADP
cana-2483	211	12	table	table	NOUN
cana-2483	211	13	2	2	NUM
cana-2483	211	14	,	,	PUNCT
cana-2483	211	15	where	where	SCONJ
cana-2483	211	16	the	the	DET
cana-2483	211	17	comparative	comparative	ADJ
cana-2483	211	18	performance	performance	NOUN
cana-2483	211	19	metrics	metric	NOUN
cana-2483	211	20	of	of	ADP
cana-2483	211	21	our	our	PRON
cana-2483	211	22	cnn	cnn	PROPN
cana-2483	211	23	-	-	PUNCT
cana-2483	211	24	rnn	rnn	PROPN
cana-2483	211	25	-	-	PUNCT
cana-2483	211	26	lstm	lstm	ADJ
cana-2483	211	27	hybrid	hybrid	NOUN
cana-2483	211	28	model	model	NOUN
cana-2483	211	29	are	be	AUX
cana-2483	211	30	compared	compare	VERB
cana-2483	211	31	with	with	ADP
cana-2483	211	32	the	the	DET
cana-2483	211	33	traditional	traditional	ADJ
cana-2483	211	34	and	and	CCONJ
cana-2483	211	35	deep	deep	ADJ
cana-2483	211	36	learning	learning	NOUN
cana-2483	211	37	counterparts	counterpart	NOUN
cana-2483	211	38	.	.	PUNCT
cana-2483	212	1	this	this	DET
cana-2483	212	2	detailed	detailed	ADJ
cana-2483	212	3	analysis	analysis	NOUN
cana-2483	212	4	reveals	reveal	VERB
cana-2483	212	5	the	the	DET
cana-2483	212	6	strengths	strength	NOUN
cana-2483	212	7	and	and	CCONJ
cana-2483	212	8	weaknesses	weakness	NOUN
cana-2483	212	9	of	of	ADP
cana-2483	212	10	each	each	DET
cana-2483	212	11	approach	approach	NOUN
cana-2483	212	12	.	.	PUNCT
cana-2483	213	1	it	it	PRON
cana-2483	213	2	points	point	VERB
cana-2483	213	3	out	out	ADP
cana-2483	213	4	the	the	DET
cana-2483	213	5	advantages	advantage	NOUN
cana-2483	213	6	of	of	ADP
cana-2483	213	7	combining	combine	VERB
cana-2483	213	8	approaches	approach	NOUN
cana-2483	213	9	in	in	ADP
cana-2483	213	10	a	a	DET
cana-2483	213	11	hybrid	hybrid	ADJ
cana-2483	213	12	model	model	NOUN
cana-2483	213	13	for	for	ADP
cana-2483	213	14	better	well	ADJ
cana-2483	213	15	aortic	aortic	ADJ
cana-2483	213	16	stenosis	stenosis	NOUN
cana-2483	213	17	detection	detection	NOUN
cana-2483	213	18	from	from	ADP
cana-2483	213	19	ecg	ecg	PROPN
cana-2483	213	20	signals	signal	NOUN
cana-2483	213	21	.	.	PUNCT
cana-2483	214	1	table.2	table.2	ADJ
cana-2483	214	2	models	model	NOUN
cana-2483	214	3	performance	performance	VERB
cana-2483	214	4	comparison	comparison	NOUN
cana-2483	214	5	model	model	NOUN
cana-2483	214	6	accuracy	accuracy	NOUN
cana-2483	214	7	(	(	PUNCT
cana-2483	214	8	%	%	INTJ
cana-2483	214	9	)	)	PUNCT
cana-2483	214	10	precision	precision	NOUN
cana-2483	214	11	(	(	PUNCT
cana-2483	214	12	%	%	INTJ
cana-2483	214	13	)	)	PUNCT
cana-2483	214	14	recall	recall	NOUN
cana-2483	214	15	(	(	PUNCT
cana-2483	214	16	%	%	NOUN
cana-2483	214	17	)	)	PUNCT
cana-2483	214	18	f1	f1	NOUN
cana-2483	214	19	-	-	PUNCT
cana-2483	214	20	score	score	NOUN
cana-2483	214	21	(	(	PUNCT
cana-2483	214	22	%	%	INTJ
cana-2483	214	23	)	)	PUNCT
cana-2483	214	24	support	support	NOUN
cana-2483	214	25	vector	vector	NOUN
cana-2483	214	26	machine	machine	NOUN
cana-2483	214	27	(	(	PUNCT
cana-2483	214	28	svm	svm	PROPN
cana-2483	214	29	)	)	PUNCT
cana-2483	214	30	74	74	NUM
cana-2483	214	31	70	70	NUM
cana-2483	214	32	68	68	NUM
cana-2483	214	33	69	69	NUM
cana-2483	214	34	random	random	ADJ
cana-2483	214	35	forest	forest	NOUN
cana-2483	214	36	(	(	PUNCT
cana-2483	214	37	rf	rf	NOUN
cana-2483	214	38	)	)	PUNCT
cana-2483	214	39	76	76	NUM
cana-2483	214	40	73	73	NUM
cana-2483	214	41	70	70	NUM
cana-2483	214	42	71	71	NUM
cana-2483	214	43	cnn	cnn	NOUN
cana-2483	214	44	80	80	NUM
cana-2483	214	45	79	79	NUM
cana-2483	214	46	75	75	NUM
cana-2483	214	47	77	77	NUM
cana-2483	214	48	lstm	lstm	NOUN
cana-2483	214	49	82	82	NUM
cana-2483	214	50	80	80	NUM
cana-2483	214	51	79	79	NUM
cana-2483	214	52	79	79	NUM
cana-2483	214	53	cnn	cnn	PROPN
cana-2483	214	54	-	-	PUNCT
cana-2483	214	55	lstm	lstm	NOUN
cana-2483	214	56	hybrid	hybrid	NOUN
cana-2483	214	57	85	85	NUM
cana-2483	214	58	83	83	NUM
cana-2483	214	59	82	82	NUM
cana-2483	214	60	82	82	NUM
cana-2483	214	61	proposed	propose	VERB
cana-2483	214	62	cnn	cnn	PROPN
cana-2483	214	63	-	-	PUNCT
cana-2483	214	64	rnn	rnn	PROPN
cana-2483	214	65	-	-	PUNCT
cana-2483	214	66	lstm	lstm	NOUN
cana-2483	214	67	hybrid	hybrid	NOUN
cana-2483	214	68	87	87	NUM
cana-2483	214	69	85	85	NUM
cana-2483	214	70	86	86	NUM
cana-2483	214	71	85.5	85.5	NUM
cana-2483	214	72	the	the	DET
cana-2483	214	73	study	study	NOUN
cana-2483	214	74	demonstrates	demonstrate	VERB
cana-2483	214	75	that	that	SCONJ
cana-2483	214	76	deep	deep	ADJ
cana-2483	214	77	learning	learning	NOUN
cana-2483	214	78	models	model	NOUN
cana-2483	214	79	,	,	PUNCT
cana-2483	214	80	particularly	particularly	ADV
cana-2483	214	81	hybrid	hybrid	ADJ
cana-2483	214	82	architectures	architecture	NOUN
cana-2483	214	83	,	,	PUNCT
cana-2483	214	84	are	be	AUX
cana-2483	214	85	superior	superior	ADJ
cana-2483	214	86	for	for	ADP
cana-2483	214	87	detecting	detect	VERB
cana-2483	214	88	aortic	aortic	ADJ
cana-2483	214	89	stenosis	stenosis	NOUN
cana-2483	214	90	(	(	PUNCT
cana-2483	214	91	as	as	ADP
cana-2483	214	92	)	)	PUNCT
cana-2483	214	93	from	from	ADP
cana-2483	214	94	12	12	NUM
cana-2483	214	95	-	-	PUNCT
cana-2483	214	96	lead	lead	NOUN
cana-2483	214	97	electrocardiogram	electrocardiogram	NOUN
cana-2483	214	98	(	(	PUNCT
cana-2483	214	99	ecg	ecg	PROPN
cana-2483	214	100	)	)	PUNCT
cana-2483	214	101	signals	signal	NOUN
cana-2483	214	102	.	.	PUNCT
cana-2483	215	1	however	however	ADV
cana-2483	215	2	,	,	PUNCT
cana-2483	215	3	traditional	traditional	ADJ
cana-2483	215	4	machine	machine	NOUN
cana-2483	215	5	learning	learning	NOUN
cana-2483	215	6	methods	method	NOUN
cana-2483	215	7	such	such	ADJ
cana-2483	215	8	as	as	ADP
cana-2483	215	9	support	support	NOUN
cana-2483	215	10	vector	vector	NOUN
cana-2483	215	11	machines	machine	NOUN
cana-2483	215	12	(	(	PUNCT
cana-2483	215	13	svm	svm	PROPN
cana-2483	215	14	)	)	PUNCT
cana-2483	215	15	and	and	CCONJ
cana-2483	215	16	random	random	ADJ
cana-2483	215	17	forests	forest	NOUN
cana-2483	215	18	(	(	PUNCT
cana-2483	215	19	rf	rf	NOUN
cana-2483	215	20	)	)	PUNCT
cana-2483	215	21	could	could	AUX
cana-2483	215	22	not	not	PART
cana-2483	215	23	handle	handle	VERB
cana-2483	215	24	the	the	DET
cana-2483	215	25	complicated	complicated	ADJ
cana-2483	215	26	spatial	spatial	ADJ
cana-2483	215	27	-	-	PUNCT
cana-2483	215	28	temporal	temporal	ADJ
cana-2483	215	29	dependencies	dependency	NOUN
cana-2483	215	30	of	of	ADP
cana-2483	215	31	ecg	ecg	PROPN
cana-2483	215	32	data	datum	NOUN
cana-2483	215	33	and	and	CCONJ
cana-2483	215	34	had	have	VERB
cana-2483	215	35	only	only	ADV
cana-2483	215	36	moderate	moderate	ADJ
cana-2483	215	37	performance	performance	NOUN
cana-2483	215	38	.	.	PUNCT
cana-2483	216	1	however	however	ADV
cana-2483	216	2	,	,	PUNCT
cana-2483	216	3	convolutional	convolutional	ADJ
cana-2483	216	4	neural	neural	ADJ
cana-2483	216	5	network	network	NOUN
cana-2483	216	6	(	(	PUNCT
cana-2483	216	7	cnn	cnn	PROPN
cana-2483	216	8	)	)	PUNCT
cana-2483	216	9	and	and	CCONJ
cana-2483	216	10	long	long	ADJ
cana-2483	216	11	short	short	ADJ
cana-2483	216	12	term	term	NOUN
cana-2483	216	13	memory	memory	NOUN
cana-2483	216	14	(	(	PUNCT
cana-2483	216	15	lstm	lstm	NOUN
cana-2483	216	16	)	)	PUNCT
cana-2483	216	17	based	base	VERB
cana-2483	216	18	deep	deep	ADJ
cana-2483	216	19	learning	learning	NOUN
cana-2483	216	20	models	model	NOUN
cana-2483	216	21	outperformed	outperform	VERB
cana-2483	216	22	(	(	PUNCT
cana-2483	216	23	lacking	lack	VERB
cana-2483	216	24	comprehensive	comprehensive	ADJ
cana-2483	216	25	detection	detection	NOUN
cana-2483	216	26	capabilities	capability	NOUN
cana-2483	216	27	)	)	PUNCT
cana-2483	216	28	individually	individually	ADV
cana-2483	216	29	.	.	PUNCT
cana-2483	217	1	significant	significant	ADJ
cana-2483	217	2	accuracy	accuracy	NOUN
cana-2483	217	3	improvement	improvement	NOUN
cana-2483	217	4	was	be	AUX
cana-2483	217	5	achieved	achieve	VERB
cana-2483	217	6	by	by	ADP
cana-2483	217	7	introducing	introduce	VERB
cana-2483	217	8	hybrid	hybrid	ADJ
cana-2483	217	9	models	model	NOUN
cana-2483	217	10	,	,	PUNCT
cana-2483	217	11	specifically	specifically	ADV
cana-2483	217	12	cnn	cnn	PROPN
cana-2483	217	13	,	,	PUNCT
cana-2483	217	14	cnn	cnn	PROPN
cana-2483	217	15	-	-	PUNCT
cana-2483	217	16	rnn	rnn	PROPN
cana-2483	217	17	and	and	CCONJ
cana-2483	217	18	cnn	cnn	PROPN
cana-2483	217	19	-	-	PUNCT
cana-2483	217	20	rnn	rnn	PROPN
cana-2483	217	21	-	-	PUNCT
cana-2483	217	22	lstm	lstm	ADJ
cana-2483	217	23	hybrid	hybrid	NOUN
cana-2483	217	24	models	model	NOUN
cana-2483	217	25	,	,	PUNCT
cana-2483	217	26	as	as	SCONJ
cana-2483	217	27	they	they	PRON
cana-2483	217	28	can	can	AUX
cana-2483	217	29	efficiently	efficiently	ADV
cana-2483	217	30	exploit	exploit	VERB
cana-2483	217	31	spatial	spatial	ADJ
cana-2483	217	32	and	and	CCONJ
cana-2483	217	33	temporal	temporal	ADJ
cana-2483	217	34	features	feature	NOUN
cana-2483	217	35	of	of	ADP
cana-2483	217	36	ecg	ecg	PROPN
cana-2483	217	37	signals	signal	NOUN
cana-2483	217	38	.	.	PUNCT
cana-2483	218	1	the	the	DET
cana-2483	218	2	confusion	confusion	NOUN
cana-2483	218	3	matrix	matrix	NOUN
cana-2483	218	4	of	of	ADP
cana-2483	218	5	this	this	PRON
cana-2483	218	6	is	be	AUX
cana-2483	218	7	given	give	VERB
cana-2483	218	8	in	in	ADP
cana-2483	218	9	figure	figure	NOUN
cana-2483	218	10	4	4	NUM
cana-2483	218	11	.	.	NOUN
cana-2483	218	12	697	697	NUM
cana-2483	218	13	vol	vol	NOUN
cana-2483	218	14	32	32	NUM
cana-2483	218	15	no	no	NOUN
cana-2483	218	16	.	.	NOUN
cana-2483	218	17	3	3	NUM
cana-2483	218	18	(	(	PUNCT
cana-2483	218	19	2025	2025	NUM
cana-2483	218	20	)	)	PUNCT
cana-2483	218	21	communications	communication	NOUN
cana-2483	218	22	on	on	ADP
cana-2483	218	23	applied	apply	VERB
cana-2483	218	24	nonlinear	nonlinear	ADJ
cana-2483	218	25	analysis	analysis	NOUN
cana-2483	218	26	issn	issn	NOUN
cana-2483	218	27	:	:	PUNCT
cana-2483	218	28	1074	1074	NUM
cana-2483	218	29	-	-	PUNCT
cana-2483	218	30	133x	133x	PROPN
cana-2483	218	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	218	32	figure	figure	NOUN
cana-2483	218	33	.	.	PUNCT
cana-2483	219	1	4	4	NUM
cana-2483	219	2	confusion	confusion	NOUN
cana-2483	219	3	matrix	matrix	NOUN
cana-2483	219	4	of	of	ADP
cana-2483	219	5	models	model	NOUN
cana-2483	219	6	on	on	ADP
cana-2483	219	7	a	a	DET
cana-2483	219	8	large	large	ADJ
cana-2483	219	9	scale	scale	NOUN
cana-2483	219	10	12	12	NUM
cana-2483	219	11	lead	lead	NOUN
cana-2483	219	12	electrocardiogram	electrocardiogram	NOUN
cana-2483	219	13	(	(	PUNCT
cana-2483	219	14	ecg	ecg	PROPN
cana-2483	219	15	)	)	PUNCT
cana-2483	219	16	database	database	NOUN
cana-2483	219	17	,	,	PUNCT
cana-2483	219	18	various	various	ADJ
cana-2483	219	19	models	model	NOUN
cana-2483	219	20	were	be	AUX
cana-2483	219	21	evaluated	evaluate	VERB
cana-2483	219	22	for	for	ADP
cana-2483	219	23	detecting	detect	VERB
cana-2483	219	24	aortic	aortic	ADJ
cana-2483	219	25	stenosis	stenosis	NOUN
cana-2483	219	26	,	,	PUNCT
cana-2483	219	27	and	and	CCONJ
cana-2483	219	28	we	we	PRON
cana-2483	219	29	found	find	VERB
cana-2483	219	30	that	that	SCONJ
cana-2483	219	31	simpler	simple	ADJ
cana-2483	219	32	models	model	NOUN
cana-2483	219	33	like	like	ADP
cana-2483	219	34	svm	svm	PROPN
cana-2483	219	35	and	and	CCONJ
cana-2483	219	36	rf	rf	PRON
cana-2483	219	37	had	have	VERB
cana-2483	219	38	moderate	moderate	ADJ
cana-2483	219	39	performance	performance	NOUN
cana-2483	219	40	but	but	CCONJ
cana-2483	219	41	could	could	AUX
cana-2483	219	42	not	not	PART
cana-2483	219	43	capture	capture	VERB
cana-2483	219	44	the	the	DET
cana-2483	219	45	complex	complex	ADJ
cana-2483	219	46	ecg	ecg	PROPN
cana-2483	219	47	patterns	pattern	NOUN
cana-2483	219	48	.	.	PUNCT
cana-2483	220	1	however	however	ADV
cana-2483	220	2	,	,	PUNCT
cana-2483	220	3	cnn	cnn	PROPN
cana-2483	220	4	and	and	CCONJ
cana-2483	220	5	lstm	lstm	NOUN
cana-2483	220	6	models	model	NOUN
cana-2483	220	7	achieved	achieve	VERB
cana-2483	220	8	higher	high	ADJ
cana-2483	220	9	auc	auc	NOUN
cana-2483	220	10	scores	score	NOUN
cana-2483	220	11	because	because	SCONJ
cana-2483	220	12	cnn	cnn	PROPN
cana-2483	220	13	can	can	AUX
cana-2483	220	14	extract	extract	VERB
cana-2483	220	15	spatial	spatial	ADJ
cana-2483	220	16	features	feature	NOUN
cana-2483	220	17	and	and	CCONJ
cana-2483	220	18	lstm	lstm	NOUN
cana-2483	220	19	can	can	AUX
cana-2483	220	20	process	process	VERB
cana-2483	220	21	data	datum	NOUN
cana-2483	220	22	sequentially	sequentially	ADV
cana-2483	220	23	effectively	effectively	ADV
cana-2483	220	24	.	.	PUNCT
cana-2483	221	1	the	the	DET
cana-2483	221	2	hybrid	hybrid	ADJ
cana-2483	221	3	cnn	cnn	PROPN
cana-2483	221	4	-	-	PUNCT
cana-2483	221	5	lstm	lstm	PROPN
cana-2483	221	6	model	model	NOUN
cana-2483	221	7	further	far	ADV
cana-2483	221	8	improved	improve	VERB
cana-2483	221	9	these	these	DET
cana-2483	221	10	strengths	strength	NOUN
cana-2483	221	11	.	.	PUNCT
cana-2483	222	1	finally	finally	ADV
cana-2483	222	2	,	,	PUNCT
cana-2483	222	3	the	the	DET
cana-2483	222	4	cnn	cnn	PROPN
cana-2483	222	5	-	-	PUNCT
cana-2483	222	6	rnn	rnn	PROPN
cana-2483	222	7	-	-	PUNCT
cana-2483	222	8	lstm	lstm	ADJ
cana-2483	222	9	hybrid	hybrid	NOUN
cana-2483	222	10	model	model	NOUN
cana-2483	222	11	achieved	achieve	VERB
cana-2483	222	12	the	the	DET
cana-2483	222	13	highest	high	ADJ
cana-2483	222	14	auc	auc	NOUN
cana-2483	222	15	.	.	PUNCT
cana-2483	223	1	it	it	PRON
cana-2483	223	2	is	be	AUX
cana-2483	223	3	the	the	DET
cana-2483	223	4	best	good	ADJ
cana-2483	223	5	model	model	NOUN
cana-2483	223	6	for	for	ADP
cana-2483	223	7	early	early	ADJ
cana-2483	223	8	detection	detection	NOUN
cana-2483	223	9	of	of	ADP
cana-2483	223	10	aortic	aortic	ADJ
cana-2483	223	11	stenosis	stenosis	NOUN
cana-2483	223	12	because	because	SCONJ
cana-2483	223	13	it	it	PRON
cana-2483	223	14	can	can	AUX
cana-2483	223	15	well	well	ADV
cana-2483	223	16	analyse	analyse	VERB
cana-2483	223	17	complex	complex	PROPN
cana-2483	223	18	ecg	ecg	PROPN
cana-2483	223	19	signal	signal	NOUN
cana-2483	223	20	patterns	pattern	NOUN
cana-2483	223	21	and	and	CCONJ
cana-2483	223	22	temporal	temporal	ADJ
cana-2483	223	23	dependencies	dependency	NOUN
cana-2483	223	24	.	.	PUNCT
cana-2483	224	1	figure	figure	NOUN
cana-2483	224	2	5	5	NUM
cana-2483	224	3	depicts	depict	VERB
cana-2483	224	4	the	the	DET
cana-2483	224	5	same	same	ADJ
cana-2483	224	6	.	.	PUNCT
cana-2483	225	1	figure	figure	NOUN
cana-2483	225	2	.	.	PUNCT
cana-2483	226	1	5	5	NUM
cana-2483	226	2	roc	roc	PROPN
cana-2483	226	3	curve	curve	NOUN
cana-2483	226	4	comparison	comparison	NOUN
cana-2483	226	5	the	the	DET
cana-2483	226	6	analysis	analysis	NOUN
cana-2483	226	7	in	in	ADP
cana-2483	226	8	figure	figure	NOUN
cana-2483	226	9	6	6	NUM
cana-2483	226	10	examines	examine	VERB
cana-2483	226	11	the	the	DET
cana-2483	226	12	computational	computational	ADJ
cana-2483	226	13	durations	duration	NOUN
cana-2483	226	14	of	of	ADP
cana-2483	226	15	various	various	ADJ
cana-2483	226	16	machine	machine	NOUN
cana-2483	226	17	learning	learning	NOUN
cana-2483	226	18	models	model	NOUN
cana-2483	226	19	and	and	CCONJ
cana-2483	226	20	deep	deep	ADJ
cana-2483	226	21	learning	learning	NOUN
cana-2483	226	22	models	model	NOUN
cana-2483	226	23	:	:	PUNCT
cana-2483	226	24	we	we	PRON
cana-2483	226	25	implement	implement	VERB
cana-2483	226	26	support	support	NOUN
cana-2483	226	27	vector	vector	NOUN
cana-2483	226	28	machine	machine	NOUN
cana-2483	226	29	(	(	PUNCT
cana-2483	226	30	svm	svm	PROPN
cana-2483	226	31	)	)	PUNCT
cana-2483	226	32	,	,	PUNCT
cana-2483	226	33	random	random	ADJ
cana-2483	226	34	forest	forest	NOUN
cana-2483	226	35	(	(	PUNCT
cana-2483	226	36	rf	rf	NOUN
cana-2483	226	37	)	)	PUNCT
cana-2483	226	38	,	,	PUNCT
cana-2483	226	39	convolutional	convolutional	ADJ
cana-2483	226	40	neural	neural	ADJ
cana-2483	226	41	network	network	NOUN
cana-2483	226	42	(	(	PUNCT
cana-2483	226	43	cnn	cnn	PROPN
cana-2483	226	44	)	)	PUNCT
cana-2483	226	45	,	,	PUNCT
cana-2483	226	46	long	long	ADJ
cana-2483	226	47	short	short	ADJ
cana-2483	226	48	term	term	NOUN
cana-2483	226	49	memory	memory	NOUN
cana-2483	226	50	(	(	PUNCT
cana-2483	226	51	lstm	lstm	NOUN
cana-2483	226	52	)	)	PUNCT
cana-2483	226	53	networks	network	NOUN
cana-2483	226	54	,	,	PUNCT
cana-2483	226	55	a	a	DET
cana-2483	226	56	cnn	cnn	PROPN
cana-2483	226	57	-	-	PUNCT
cana-2483	226	58	lstm	lstm	ADJ
cana-2483	226	59	hybrid	hybrid	NOUN
cana-2483	226	60	model	model	NOUN
cana-2483	226	61	,	,	PUNCT
cana-2483	226	62	and	and	CCONJ
cana-2483	226	63	a	a	DET
cana-2483	226	64	proposed	propose	VERB
cana-2483	226	65	cnn	cnn	PROPN
cana-2483	226	66	-	-	PUNCT
cana-2483	226	67	rnn	rnn	PROPN
cana-2483	226	68	-	-	PUNCT
cana-2483	226	69	lstm	lstm	ADJ
cana-2483	226	70	hybrid	hybrid	NOUN
cana-2483	226	71	model	model	NOUN
cana-2483	226	72	.	.	PUNCT
cana-2483	227	1	both	both	CCONJ
cana-2483	227	2	svm	svm	PROPN
cana-2483	227	3	and	and	CCONJ
cana-2483	227	4	rf	rf	VERB
cana-2483	227	5	have	have	VERB
cana-2483	227	6	a	a	DET
cana-2483	227	7	computational	computational	ADJ
cana-2483	227	8	time	time	NOUN
cana-2483	227	9	of	of	ADP
cana-2483	227	10	around	around	ADP
cana-2483	227	11	200	200	NUM
cana-2483	227	12	seconds	second	NOUN
cana-2483	227	13	,	,	PUNCT
cana-2483	227	14	which	which	PRON
cana-2483	227	15	is	be	AUX
cana-2483	227	16	efficient	efficient	ADJ
cana-2483	227	17	for	for	ADP
cana-2483	227	18	small	small	ADJ
cana-2483	227	19	to	to	ADP
cana-2483	227	20	medium	medium	ADJ
cana-2483	227	21	datasets	dataset	NOUN
cana-2483	227	22	,	,	PUNCT
cana-2483	227	23	but	but	CCONJ
cana-2483	227	24	svm	svm	ADJ
cana-2483	227	25	computational	computational	ADJ
cana-2483	227	26	time	time	NOUN
cana-2483	227	27	can	can	AUX
cana-2483	227	28	grow	grow	VERB
cana-2483	227	29	with	with	ADP
cana-2483	227	30	large	large	ADJ
cana-2483	227	31	datasets	dataset	NOUN
cana-2483	227	32	because	because	SCONJ
cana-2483	227	33	it	it	PRON
cana-2483	227	34	has	have	VERB
cana-2483	227	35	a	a	DET
cana-2483	227	36	quadratic	quadratic	ADJ
cana-2483	227	37	optimization	optimization	NOUN
cana-2483	227	38	problem	problem	NOUN
cana-2483	227	39	.	.	PUNCT
cana-2483	228	1	the	the	DET
cana-2483	228	2	computational	computational	ADJ
cana-2483	228	3	time	time	NOUN
cana-2483	228	4	for	for	ADP
cana-2483	228	5	this	this	DET
cana-2483	228	6	cnn	cnn	PROPN
cana-2483	228	7	becomes	become	VERB
cana-2483	228	8	around	around	ADP
cana-2483	228	9	220	220	NUM
cana-2483	228	10	seconds	second	NOUN
cana-2483	228	11	as	as	SCONJ
cana-2483	228	12	its	its	PRON
cana-2483	228	13	architecture	architecture	NOUN
cana-2483	228	14	is	be	AUX
cana-2483	228	15	complex	complex	ADJ
cana-2483	228	16	and	and	CCONJ
cana-2483	228	17	it	it	PRON
cana-2483	228	18	makes	make	VERB
cana-2483	228	19	intensive	intensive	ADJ
cana-2483	228	20	operations	operation	NOUN
cana-2483	228	21	.	.	PUNCT
cana-2483	229	1	the	the	DET
cana-2483	229	2	complexity	complexity	NOUN
cana-2483	229	3	of	of	ADP
cana-2483	229	4	lstm	lstm	ADJ
cana-2483	229	5	networks	network	NOUN
cana-2483	229	6	with	with	ADP
cana-2483	229	7	additional	additional	ADJ
cana-2483	229	8	gates	gate	NOUN
cana-2483	229	9	for	for	ADP
cana-2483	229	10	managing	manage	VERB
cana-2483	229	11	698	698	NUM
cana-2483	229	12	vol	vol	NOUN
cana-2483	229	13	32	32	NUM
cana-2483	229	14	no	no	NOUN
cana-2483	229	15	.	.	NOUN
cana-2483	229	16	3	3	NUM
cana-2483	229	17	(	(	PUNCT
cana-2483	229	18	2025	2025	NUM
cana-2483	229	19	)	)	PUNCT
cana-2483	229	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-2483	229	21	communications	communication	NOUN
cana-2483	229	22	on	on	ADP
cana-2483	229	23	applied	apply	VERB
cana-2483	229	24	nonlinear	nonlinear	ADJ
cana-2483	229	25	analysis	analysis	NOUN
cana-2483	229	26	issn	issn	NOUN
cana-2483	229	27	:	:	PUNCT
cana-2483	229	28	1074	1074	NUM
cana-2483	229	29	-	-	PUNCT
cana-2483	229	30	133x	133x	NUM
cana-2483	229	31	sequential	sequential	ADJ
cana-2483	229	32	dependencies	dependency	NOUN
cana-2483	229	33	requires	require	VERB
cana-2483	229	34	about	about	ADV
cana-2483	229	35	280	280	NUM
cana-2483	229	36	seconds	second	NOUN
cana-2483	229	37	.	.	PUNCT
cana-2483	230	1	the	the	DET
cana-2483	230	2	cnn	cnn	PROPN
cana-2483	230	3	-	-	PUNCT
cana-2483	230	4	lstm	lstm	ADJ
cana-2483	230	5	hybrid	hybrid	NOUN
cana-2483	230	6	model	model	NOUN
cana-2483	230	7	shows	show	VERB
cana-2483	230	8	a	a	DET
cana-2483	230	9	reduced	reduced	ADJ
cana-2483	230	10	computational	computational	ADJ
cana-2483	230	11	time	time	NOUN
cana-2483	230	12	of	of	ADP
cana-2483	230	13	about	about	ADV
cana-2483	230	14	260	260	NUM
cana-2483	230	15	seconds	second	NOUN
cana-2483	230	16	,	,	PUNCT
cana-2483	230	17	which	which	PRON
cana-2483	230	18	shows	show	VERB
cana-2483	230	19	good	good	ADJ
cana-2483	230	20	integration	integration	NOUN
cana-2483	230	21	.	.	PUNCT
cana-2483	231	1	the	the	DET
cana-2483	231	2	proposed	propose	VERB
cana-2483	231	3	cnn	cnn	PROPN
cana-2483	231	4	-	-	PUNCT
cana-2483	231	5	rnn	rnn	PROPN
cana-2483	231	6	-	-	PUNCT
cana-2483	231	7	lstm	lstm	ADJ
cana-2483	231	8	hybrid	hybrid	NOUN
cana-2483	231	9	model	model	NOUN
cana-2483	231	10	is	be	AUX
cana-2483	231	11	shown	show	VERB
cana-2483	231	12	to	to	PART
cana-2483	231	13	have	have	VERB
cana-2483	231	14	the	the	DET
cana-2483	231	15	lowest	low	ADJ
cana-2483	231	16	time	time	NOUN
cana-2483	231	17	of	of	ADP
cana-2483	231	18	around	around	ADP
cana-2483	231	19	170	170	NUM
cana-2483	231	20	seconds	second	NOUN
cana-2483	231	21	,	,	PUNCT
cana-2483	231	22	indicating	indicate	VERB
cana-2483	231	23	improved	improved	ADJ
cana-2483	231	24	parallelism	parallelism	NOUN
cana-2483	231	25	and	and	CCONJ
cana-2483	231	26	optimization	optimization	NOUN
cana-2483	231	27	.	.	PUNCT
cana-2483	232	1	overall	overall	ADJ
cana-2483	232	2	,	,	PUNCT
cana-2483	232	3	non	non	ADJ
cana-2483	232	4	-	-	ADJ
cana-2483	232	5	deep	deep	ADJ
cana-2483	232	6	learning	learning	NOUN
cana-2483	232	7	models	model	NOUN
cana-2483	232	8	(	(	PUNCT
cana-2483	232	9	svm	svm	VERB
cana-2483	232	10	and	and	CCONJ
cana-2483	232	11	rf	rf	VERB
cana-2483	232	12	)	)	PUNCT
cana-2483	232	13	have	have	VERB
cana-2483	232	14	moderate	moderate	ADJ
cana-2483	232	15	times	time	NOUN
cana-2483	232	16	,	,	PUNCT
cana-2483	232	17	deep	deep	ADJ
cana-2483	232	18	learning	learning	NOUN
cana-2483	232	19	models	model	NOUN
cana-2483	232	20	(	(	PUNCT
cana-2483	232	21	cnn	cnn	NOUN
cana-2483	232	22	and	and	CCONJ
cana-2483	232	23	lstm	lstm	PROPN
cana-2483	232	24	)	)	PUNCT
cana-2483	232	25	are	be	AUX
cana-2483	232	26	more	more	ADJ
cana-2483	232	27	resource	resource	NOUN
cana-2483	232	28	intensive	intensive	ADJ
cana-2483	232	29	,	,	PUNCT
cana-2483	232	30	and	and	CCONJ
cana-2483	232	31	hybrid	hybrid	NOUN
cana-2483	232	32	models	model	NOUN
cana-2483	232	33	are	be	AUX
cana-2483	232	34	more	more	ADV
cana-2483	232	35	efficient	efficient	ADJ
cana-2483	232	36	.	.	PUNCT
cana-2483	233	1	this	this	PRON
cana-2483	233	2	indicates	indicate	VERB
cana-2483	233	3	that	that	SCONJ
cana-2483	233	4	the	the	DET
cana-2483	233	5	hybrid	hybrid	NOUN
cana-2483	233	6	model	model	NOUN
cana-2483	233	7	is	be	AUX
cana-2483	233	8	a	a	DET
cana-2483	233	9	potential	potential	ADJ
cana-2483	233	10	solution	solution	NOUN
cana-2483	233	11	for	for	ADP
cana-2483	233	12	applications	application	NOUN
cana-2483	233	13	that	that	PRON
cana-2483	233	14	require	require	VERB
cana-2483	233	15	lower	low	ADJ
cana-2483	233	16	computational	computational	ADJ
cana-2483	233	17	times	time	NOUN
cana-2483	233	18	while	while	SCONJ
cana-2483	233	19	preserving	preserve	VERB
cana-2483	233	20	the	the	DET
cana-2483	233	21	advantages	advantage	NOUN
cana-2483	233	22	of	of	ADP
cana-2483	233	23	the	the	DET
cana-2483	233	24	integrated	integrate	VERB
cana-2483	233	25	neural	neural	ADJ
cana-2483	233	26	network	network	NOUN
cana-2483	233	27	architectures	architecture	NOUN
cana-2483	233	28	.	.	PUNCT
cana-2483	234	1	figure	figure	NOUN
cana-2483	234	2	.	.	PUNCT
cana-2483	235	1	6	6	NUM
cana-2483	235	2	models	model	NOUN
cana-2483	235	3	computational	computational	ADJ
cana-2483	235	4	time	time	NOUN
cana-2483	235	5	6	6	NUM
cana-2483	235	6	.	.	PUNCT
cana-2483	235	7	conclusion	conclusion	VERB
cana-2483	235	8	a	a	DET
cana-2483	235	9	hybrid	hybrid	NOUN
cana-2483	235	10	model	model	NOUN
cana-2483	235	11	that	that	PRON
cana-2483	235	12	combines	combine	VERB
cana-2483	235	13	convolutional	convolutional	ADJ
cana-2483	235	14	neural	neural	ADJ
cana-2483	235	15	networks	network	NOUN
cana-2483	235	16	(	(	PUNCT
cana-2483	235	17	cnns	cnns	PROPN
cana-2483	235	18	)	)	PUNCT
cana-2483	235	19	,	,	PUNCT
cana-2483	235	20	recurrent	recurrent	ADJ
cana-2483	235	21	neural	neural	ADJ
cana-2483	235	22	networks	network	NOUN
cana-2483	235	23	(	(	PUNCT
cana-2483	235	24	rnns	rnns	PROPN
cana-2483	235	25	)	)	PUNCT
cana-2483	235	26	and	and	CCONJ
cana-2483	235	27	long	long	ADJ
cana-2483	235	28	short	short	ADJ
cana-2483	235	29	term	term	NOUN
cana-2483	235	30	memory	memory	NOUN
cana-2483	235	31	(	(	PUNCT
cana-2483	235	32	lstm	lstm	NOUN
cana-2483	235	33	)	)	PUNCT
cana-2483	235	34	networks	network	NOUN
cana-2483	235	35	is	be	AUX
cana-2483	235	36	proposed	propose	VERB
cana-2483	235	37	for	for	ADP
cana-2483	235	38	aortic	aortic	ADJ
cana-2483	235	39	stenosis	stenosis	NOUN
cana-2483	235	40	diagnosis	diagnosis	NOUN
cana-2483	235	41	using	use	VERB
cana-2483	235	42	a	a	DET
cana-2483	235	43	12	12	NUM
cana-2483	235	44	-	-	PUNCT
cana-2483	235	45	lead	lead	NOUN
cana-2483	235	46	electrocardiogram	electrocardiogram	NOUN
cana-2483	235	47	(	(	PUNCT
cana-2483	235	48	ecg	ecg	PROPN
cana-2483	235	49	)	)	PUNCT
cana-2483	235	50	database	database	NOUN
cana-2483	235	51	.	.	PUNCT
cana-2483	236	1	the	the	DET
cana-2483	236	2	cnns	cnn	NOUN
cana-2483	236	3	in	in	ADP
cana-2483	236	4	this	this	DET
cana-2483	236	5	model	model	NOUN
cana-2483	236	6	extract	extract	VERB
cana-2483	236	7	spatial	spatial	ADJ
cana-2483	236	8	features	feature	NOUN
cana-2483	236	9	from	from	ADP
cana-2483	236	10	multi	multi	ADJ
cana-2483	236	11	-	-	ADJ
cana-2483	236	12	dimensional	dimensional	ADJ
cana-2483	236	13	ecg	ecg	PROPN
cana-2483	236	14	data	datum	NOUN
cana-2483	236	15	to	to	PART
cana-2483	236	16	identify	identify	VERB
cana-2483	236	17	subtle	subtle	ADJ
cana-2483	236	18	patterns	pattern	NOUN
cana-2483	236	19	and	and	CCONJ
cana-2483	236	20	anomalies	anomaly	NOUN
cana-2483	236	21	necessary	necessary	ADJ
cana-2483	236	22	for	for	ADP
cana-2483	236	23	aortic	aortic	ADJ
cana-2483	236	24	stenosis	stenosis	NOUN
cana-2483	236	25	identification	identification	NOUN
cana-2483	236	26	.	.	PUNCT
cana-2483	237	1	ecg	ecg	PROPN
cana-2483	237	2	signals	signal	NOUN
cana-2483	237	3	are	be	AUX
cana-2483	237	4	captured	capture	VERB
cana-2483	237	5	by	by	ADP
cana-2483	237	6	rnns	rnn	NOUN
cana-2483	237	7	,	,	PUNCT
cana-2483	237	8	which	which	PRON
cana-2483	237	9	can	can	AUX
cana-2483	237	10	capture	capture	VERB
cana-2483	237	11	the	the	DET
cana-2483	237	12	temporal	temporal	ADJ
cana-2483	237	13	dynamics	dynamic	NOUN
cana-2483	237	14	of	of	ADP
cana-2483	237	15	the	the	DET
cana-2483	237	16	ecg	ecg	PROPN
cana-2483	237	17	signals	signal	NOUN
cana-2483	237	18	,	,	PUNCT
cana-2483	237	19	representing	represent	VERB
cana-2483	237	20	the	the	DET
cana-2483	237	21	progression	progression	NOUN
cana-2483	237	22	of	of	ADP
cana-2483	237	23	cardiac	cardiac	ADJ
cana-2483	237	24	conditions	condition	NOUN
cana-2483	237	25	by	by	ADP
cana-2483	237	26	changes	change	NOUN
cana-2483	237	27	in	in	ADP
cana-2483	237	28	electrical	electrical	ADJ
cana-2483	237	29	activity	activity	NOUN
cana-2483	237	30	over	over	ADP
cana-2483	237	31	time	time	NOUN
cana-2483	237	32	.	.	PUNCT
cana-2483	238	1	lstms	lstms	ADJ
cana-2483	238	2	handle	handle	VERB
cana-2483	238	3	long	long	ADJ
cana-2483	238	4	-	-	PUNCT
cana-2483	238	5	range	range	NOUN
cana-2483	238	6	dependencies	dependency	NOUN
cana-2483	238	7	in	in	ADP
cana-2483	238	8	time	time	NOUN
cana-2483	238	9	series	series	PROPN
cana-2483	238	10	data	datum	NOUN
cana-2483	238	11	and	and	CCONJ
cana-2483	238	12	keep	keep	VERB
cana-2483	238	13	information	information	NOUN
cana-2483	238	14	across	across	ADP
cana-2483	238	15	delays	delay	NOUN
cana-2483	238	16	or	or	CCONJ
cana-2483	238	17	complex	complex	ADJ
cana-2483	238	18	temporal	temporal	ADJ
cana-2483	238	19	relations	relation	NOUN
cana-2483	238	20	.	.	PUNCT
cana-2483	239	1	these	these	DET
cana-2483	239	2	architectures	architecture	NOUN
cana-2483	239	3	combined	combine	VERB
cana-2483	239	4	enhance	enhance	NOUN
cana-2483	239	5	pattern	pattern	NOUN
cana-2483	239	6	recognition	recognition	NOUN
cana-2483	239	7	and	and	CCONJ
cana-2483	239	8	diagnostic	diagnostic	ADJ
cana-2483	239	9	accuracy	accuracy	NOUN
cana-2483	239	10	in	in	ADP
cana-2483	239	11	ecg	ecg	PROPN
cana-2483	239	12	signals	signal	NOUN
cana-2483	239	13	.	.	PUNCT
cana-2483	240	1	future	future	ADJ
cana-2483	240	2	work	work	NOUN
cana-2483	240	3	will	will	AUX
cana-2483	240	4	investigate	investigate	VERB
cana-2483	240	5	hyperparameter	hyperparameter	NOUN
cana-2483	240	6	tuning	tuning	NOUN
cana-2483	240	7	and	and	CCONJ
cana-2483	240	8	testing	testing	NOUN
cana-2483	240	9	on	on	ADP
cana-2483	240	10	larger	large	ADJ
cana-2483	240	11	,	,	PUNCT
cana-2483	240	12	more	more	ADV
cana-2483	240	13	diverse	diverse	ADJ
cana-2483	240	14	datasets	dataset	NOUN
cana-2483	240	15	to	to	PART
cana-2483	240	16	make	make	VERB
cana-2483	240	17	the	the	DET
cana-2483	240	18	model	model	NOUN
cana-2483	240	19	more	more	ADV
cana-2483	240	20	robust	robust	ADJ
cana-2483	240	21	and	and	CCONJ
cana-2483	240	22	generalisable	generalisable	ADJ
cana-2483	240	23	so	so	SCONJ
cana-2483	240	24	that	that	SCONJ
cana-2483	240	25	the	the	DET
cana-2483	240	26	model	model	NOUN
cana-2483	240	27	continues	continue	VERB
cana-2483	240	28	to	to	PART
cana-2483	240	29	be	be	AUX
cana-2483	240	30	a	a	DET
cana-2483	240	31	valuable	valuable	ADJ
cana-2483	240	32	tool	tool	NOUN
cana-2483	240	33	for	for	ADP
cana-2483	240	34	clinicians	clinician	NOUN
cana-2483	240	35	in	in	ADP
cana-2483	240	36	early	early	ADJ
cana-2483	240	37	detection	detection	NOUN
cana-2483	240	38	and	and	CCONJ
cana-2483	240	39	diagnosis	diagnosis	NOUN
cana-2483	240	40	,	,	PUNCT
cana-2483	240	41	which	which	PRON
cana-2483	240	42	will	will	AUX
cana-2483	240	43	help	help	VERB
cana-2483	240	44	improve	improve	VERB
cana-2483	240	45	patient	patient	ADJ
cana-2483	240	46	outcomes	outcome	NOUN
cana-2483	240	47	.	.	PUNCT
cana-2483	241	1	references	reference	NOUN
cana-2483	241	2	[	[	X
cana-2483	241	3	1	1	NUM
cana-2483	241	4	]	]	X
cana-2483	241	5	ahmadi	ahmadi	PROPN
cana-2483	241	6	,	,	PUNCT
cana-2483	241	7	n.	n.	PROPN
cana-2483	241	8	,	,	PUNCT
cana-2483	241	9	tsang	tsang	PROPN
cana-2483	241	10	,	,	PUNCT
cana-2483	241	11	m.	m.	PROPN
cana-2483	241	12	y.	y.	PROPN
cana-2483	241	13	,	,	PUNCT
cana-2483	241	14	gu	gu	PROPN
cana-2483	241	15	,	,	PUNCT
cana-2483	241	16	a.	a.	PROPN
cana-2483	241	17	n.	n.	PROPN
cana-2483	241	18	,	,	PUNCT
cana-2483	241	19	tsang	tsang	PROPN
cana-2483	241	20	,	,	PUNCT
cana-2483	241	21	t.	t.	PROPN
cana-2483	241	22	s.	s.	PROPN
cana-2483	241	23	m.	m.	PROPN
cana-2483	241	24	,	,	PUNCT
cana-2483	241	25	&	&	CCONJ
cana-2483	241	26	abolmaesumi	abolmaesumi	PROPN
cana-2483	241	27	,	,	PUNCT
cana-2483	241	28	p.	p.	NOUN
cana-2483	241	29	(	(	PUNCT
cana-2483	241	30	2023	2023	NUM
cana-2483	241	31	)	)	PUNCT
cana-2483	241	32	.	.	PUNCT
cana-2483	242	1	transformer	transformer	NOUN
cana-2483	242	2	-	-	PUNCT
cana-2483	242	3	based	base	VERB
cana-2483	242	4	spatiotemporal	spatiotemporal	ADJ
cana-2483	242	5	analysis	analysis	NOUN
cana-2483	242	6	for	for	ADP
cana-2483	242	7	classification	classification	NOUN
cana-2483	242	8	of	of	ADP
cana-2483	242	9	aortic	aortic	ADJ
cana-2483	242	10	stenosis	stenosis	NOUN
cana-2483	242	11	severity	severity	NOUN
cana-2483	242	12	from	from	ADP
cana-2483	242	13	echocardiography	echocardiography	NOUN
cana-2483	242	14	cine	cine	NOUN
cana-2483	242	15	series	series	PROPN
cana-2483	242	16	.	.	PUNCT
cana-2483	243	1	ieee	ieee	NOUN
cana-2483	243	2	transactions	transaction	NOUN
cana-2483	243	3	on	on	ADP
cana-2483	243	4	medical	medical	ADJ
cana-2483	243	5	imaging	imaging	NOUN
cana-2483	243	6	,	,	PUNCT
cana-2483	243	7	43(1	43(1	NOUN
cana-2483	243	8	)	)	PUNCT
cana-2483	243	9	,	,	PUNCT
cana-2483	243	10	366–376	366–376	NUM
cana-2483	243	11	.	.	PUNCT
cana-2483	244	1	https://doi.org/10.1109/tmi.2023.3305384	https://doi.org/10.1109/tmi.2023.3305384	PROPN
cana-2483	245	1	[	[	X
cana-2483	245	2	2	2	NUM
cana-2483	245	3	]	]	X
cana-2483	245	4	cohen	cohen	PROPN
cana-2483	245	5	-	-	PUNCT
cana-2483	245	6	shelly	shelly	PROPN
cana-2483	245	7	,	,	PUNCT
cana-2483	245	8	m.	m.	NOUN
cana-2483	245	9	,	,	PUNCT
cana-2483	245	10	attia	attia	PROPN
cana-2483	245	11	,	,	PUNCT
cana-2483	245	12	z.	z.	PROPN
cana-2483	245	13	i.	i.	PROPN
cana-2483	245	14	,	,	PUNCT
cana-2483	245	15	friedman	friedman	PROPN
cana-2483	245	16	,	,	PUNCT
cana-2483	245	17	p.	p.	PROPN
cana-2483	245	18	a.	a.	PROPN
cana-2483	245	19	,	,	PUNCT
cana-2483	245	20	ito	ito	PROPN
cana-2483	245	21	,	,	PUNCT
cana-2483	245	22	s.	s.	PROPN
cana-2483	245	23	,	,	PUNCT
cana-2483	245	24	essayagh	essayagh	PROPN
cana-2483	245	25	,	,	PUNCT
cana-2483	245	26	b.	b.	PROPN
cana-2483	245	27	a.	a.	PROPN
cana-2483	245	28	,	,	PUNCT
cana-2483	245	29	ko	ko	PROPN
cana-2483	245	30	,	,	PUNCT
cana-2483	245	31	w.	w.	PROPN
cana-2483	245	32	,	,	PUNCT
cana-2483	245	33	murphree	murphree	PROPN
cana-2483	245	34	,	,	PUNCT
cana-2483	245	35	d.	d.	PROPN
cana-2483	245	36	h.	h.	PROPN
cana-2483	245	37	,	,	PUNCT
cana-2483	245	38	michelena	michelena	PROPN
cana-2483	245	39	,	,	PUNCT
cana-2483	245	40	h.	h.	PROPN
cana-2483	245	41	i.	i.	PROPN
cana-2483	245	42	,	,	PUNCT
cana-2483	245	43	enriquez	enriquez	PROPN
cana-2483	245	44	-	-	PUNCT
cana-2483	245	45	sarano	sarano	PROPN
cana-2483	245	46	,	,	PUNCT
cana-2483	245	47	m.	m.	NOUN
cana-2483	245	48	,	,	PUNCT
cana-2483	245	49	carter	carter	PROPN
cana-2483	245	50	,	,	PUNCT
cana-2483	245	51	r.	r.	PROPN
cana-2483	245	52	e.	e.	PROPN
cana-2483	245	53	,	,	PUNCT
cana-2483	245	54	johnson	johnson	PROPN
cana-2483	245	55	,	,	PUNCT
cana-2483	245	56	p.	p.	PROPN
cana-2483	245	57	w.	w.	PROPN
cana-2483	245	58	,	,	PUNCT
cana-2483	245	59	noseworthy	noseworthy	PROPN
cana-2483	245	60	,	,	PUNCT
cana-2483	245	61	p.	p.	NOUN
cana-2483	245	62	a.	a.	NOUN
cana-2483	245	63	,	,	PUNCT
cana-2483	245	64	lopez	lopez	PROPN
cana-2483	245	65	-	-	PUNCT
cana-2483	245	66	jimenez	jimenez	PROPN
cana-2483	245	67	,	,	PUNCT
cana-2483	245	68	f.	f.	PROPN
cana-2483	245	69	,	,	PUNCT
cana-2483	245	70	&	&	CCONJ
cana-2483	245	71	oh	oh	INTJ
cana-2483	245	72	,	,	PUNCT
cana-2483	245	73	j.	j.	PROPN
cana-2483	245	74	k.	k.	PROPN
cana-2483	245	75	(	(	PUNCT
cana-2483	245	76	2021	2021	NUM
cana-2483	245	77	)	)	PUNCT
cana-2483	245	78	.	.	PUNCT
cana-2483	246	1	electrocardiogram	electrocardiogram	NOUN
cana-2483	246	2	screening	screen	VERB
cana-2483	246	3	for	for	ADP
cana-2483	246	4	aortic	aortic	ADJ
cana-2483	246	5	valve	valve	NOUN
cana-2483	246	6	stenosis	stenosis	NOUN
cana-2483	246	7	using	use	VERB
cana-2483	246	8	artificial	artificial	ADJ
cana-2483	246	9	intelligence	intelligence	NOUN
cana-2483	246	10	.	.	PUNCT
cana-2483	247	1	european	european	ADJ
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cana-2483	247	6	)	)	PUNCT
cana-2483	247	7	,	,	PUNCT
cana-2483	247	8	2885–2896	2885–2896	NUM
cana-2483	247	9	.	.	PUNCT
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cana-2483	248	4	32	32	NUM
cana-2483	248	5	no	no	NOUN
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cana-2483	248	8	(	(	PUNCT
cana-2483	248	9	2025	2025	NUM
cana-2483	248	10	)	)	PUNCT
cana-2483	248	11	communications	communication	NOUN
cana-2483	248	12	on	on	ADP
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cana-2483	248	16	issn	issn	NOUN
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cana-2483	248	18	1074	1074	NUM
cana-2483	248	19	-	-	PUNCT
cana-2483	248	20	133x	133x	PROPN
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cana-2483	249	1	[	[	X
cana-2483	249	2	3	3	NUM
cana-2483	249	3	]	]	X
cana-2483	249	4	hata	hata	NOUN
cana-2483	249	5	,	,	PUNCT
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cana-2483	249	9	,	,	PUNCT
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cana-2483	249	22	t.	t.	PROPN
cana-2483	249	23	,	,	PUNCT
cana-2483	249	24	&	&	CCONJ
cana-2483	249	25	ohya	ohya	PROPN
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cana-2483	249	28	(	(	PUNCT
cana-2483	249	29	2020	2020	NUM
cana-2483	249	30	)	)	PUNCT
cana-2483	249	31	.	.	PUNCT
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cana-2483	250	4	stenosis	stenosis	NOUN
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cana-2483	250	6	ecg	ecg	PROPN
cana-2483	250	7	by	by	ADP
cana-2483	250	8	deep	deep	ADJ
cana-2483	250	9	learning	learning	NOUN
cana-2483	250	10	and	and	CCONJ
cana-2483	250	11	its	its	PRON
cana-2483	250	12	analysis	analysis	NOUN
cana-2483	250	13	using	use	VERB
cana-2483	250	14	grad	grad	NOUN
cana-2483	250	15	-	-	PUNCT
cana-2483	250	16	cam	cam	NOUN
cana-2483	250	17	.	.	PUNCT
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cana-2483	252	3	]	]	X
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cana-2483	252	7	,	,	PUNCT
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cana-2483	252	10	x.	x.	NOUN
cana-2483	252	11	,	,	PUNCT
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cana-2483	252	17	&	&	CCONJ
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cana-2483	252	22	(	(	PUNCT
cana-2483	252	23	2024	2024	NUM
cana-2483	252	24	)	)	PUNCT
cana-2483	252	25	.	.	PUNCT
cana-2483	253	1	semi	semi	ADJ
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cana-2483	253	4	multimodal	multimodal	ADJ
cana-2483	253	5	multi	multi	ADJ
cana-2483	253	6	-	-	NOUN
cana-2483	253	7	instance	instance	NOUN
cana-2483	253	8	learning	learning	NOUN
cana-2483	253	9	for	for	ADP
cana-2483	253	10	aortic	aortic	ADJ
cana-2483	253	11	stenosis	stenosis	NOUN
cana-2483	253	12	diagnosis	diagnosis	NOUN
cana-2483	253	13	.	.	PUNCT
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cana-2483	254	2	(	(	PUNCT
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cana-2483	254	5	)	)	PUNCT
cana-2483	254	6	.	.	PUNCT
cana-2483	255	1	https://doi.org/10.48550/arxiv.2403.06024	https://doi.org/10.48550/arxiv.2403.06024	PROPN
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cana-2483	255	3	5	5	NUM
cana-2483	255	4	]	]	X
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cana-2483	255	17	,	,	PUNCT
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cana-2483	255	23	,	,	PUNCT
cana-2483	255	24	k.	k.	PROPN
cana-2483	255	25	,	,	PUNCT
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cana-2483	255	34	&	&	CCONJ
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cana-2483	255	39	2020	2020	NUM
cana-2483	255	40	)	)	PUNCT
cana-2483	255	41	.	.	PUNCT
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cana-2483	257	8	9(7	9(7	NUM
cana-2483	257	9	)	)	PUNCT
cana-2483	257	10	.	.	PUNCT
cana-2483	258	1	https://doi.org/10.1161/jaha.119.014717	https://doi.org/10.1161/jaha.119.014717	X
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cana-2483	258	19	s.	s.	PROPN
cana-2483	258	20	,	,	PUNCT
cana-2483	258	21	&	&	CCONJ
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cana-2483	258	23	,	,	PUNCT
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cana-2483	259	5	(	(	PUNCT
cana-2483	259	6	2024	2024	NUM
cana-2483	259	7	)	)	PUNCT
cana-2483	259	8	.	.	PUNCT
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cana-2483	260	50	v.	v.	PROPN
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cana-2483	260	69	)	)	PUNCT
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cana-2483	262	5	)	)	PUNCT
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cana-2483	263	1	https://	https://	PROPN
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cana-2483	265	6	25(1	25(1	NUM
cana-2483	265	7	)	)	PUNCT
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cana-2483	267	50	yao	yao	PROPN
cana-2483	267	51	,	,	PUNCT
cana-2483	267	52	h.	h.	PROPN
cana-2483	267	53	,	,	PUNCT
cana-2483	267	54	li	li	PROPN
cana-2483	267	55	,	,	PUNCT
cana-2483	267	56	d.	d.	PROPN
cana-2483	267	57	,	,	PUNCT
cana-2483	267	58	guo	guo	PROPN
cana-2483	267	59	,	,	PUNCT
cana-2483	267	60	h.	h.	PROPN
cana-2483	267	61	,	,	PUNCT
cana-2483	267	62	&	&	CCONJ
cana-2483	267	63	rakovski	rakovski	ADJ
cana-2483	267	64	,	,	PUNCT
cana-2483	267	65	c.	c.	PROPN
cana-2483	267	66	(	(	PUNCT
cana-2483	267	67	2020	2020	NUM
cana-2483	267	68	)	)	PUNCT
cana-2483	267	69	.	.	PUNCT
cana-2483	268	1	optimal	optimal	ADJ
cana-2483	268	2	multi	multi	ADJ
cana-2483	268	3	-	-	ADJ
cana-2483	268	4	stage	stage	NOUN
cana-2483	268	5	arrhythmia	arrhythmia	NOUN
cana-2483	268	6	classification	classification	NOUN
cana-2483	268	7	approach	approach	NOUN
cana-2483	268	8	.	.	PUNCT
cana-2483	269	1	scientific	scientific	ADJ
cana-2483	269	2	reports	report	NOUN
cana-2483	269	3	,	,	PUNCT
cana-2483	269	4	10(1	10(1	NUM
cana-2483	269	5	)	)	PUNCT
cana-2483	269	6	.	.	PUNCT
cana-2483	270	1	https://doi.org/10.1038/s41598-020-59821-7	https://doi.org/10.1038/s41598-020-59821-7	NUM
cana-2483	270	2	700	700	NUM
cana-2483	270	3	vol	vol	NOUN
cana-2483	270	4	32	32	NUM
cana-2483	271	1	no	no	NOUN
cana-2483	271	2	.	.	NOUN
cana-2483	271	3	3	3	NUM
cana-2483	271	4	(	(	PUNCT
cana-2483	271	5	2025	2025	NUM
cana-2483	271	6	)	)	PUNCT