id	sid	tid	token	lemma	pos
cana-4248	1	1	communications	communication	NOUN
cana-4248	1	2	on	on	ADP
cana-4248	1	3	applied	apply	VERB
cana-4248	1	4	nonlinear	nonlinear	ADJ
cana-4248	1	5	analysis	analysis	NOUN
cana-4248	1	6	issn	issn	NOUN
cana-4248	1	7	:	:	PUNCT
cana-4248	1	8	1074	1074	NUM
cana-4248	1	9	-	-	PUNCT
cana-4248	1	10	133x	133x	NUM
cana-4248	1	11	vol	vol	NOUN
cana-4248	1	12	32	32	NUM
cana-4248	1	13	no	no	NOUN
cana-4248	1	14	.	.	PUNCT
cana-4248	2	1	9s	9s	NUM
cana-4248	2	2	(	(	PUNCT
cana-4248	2	3	2025	2025	NUM
cana-4248	2	4	)	)	PUNCT
cana-4248	2	5	1587	1587	NUM
cana-4248	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	2	7	deep	deep	ADJ
cana-4248	2	8	recurrent	recurrent	ADJ
cana-4248	2	9	neural	neural	ADJ
cana-4248	2	10	networks	network	NOUN
cana-4248	2	11	for	for	ADP
cana-4248	2	12	cardiac	cardiac	ADJ
cana-4248	2	13	arrhythmias	arrhythmia	NOUN
cana-4248	2	14	detection	detection	NOUN
cana-4248	2	15	in	in	ADP
cana-4248	2	16	long	long	ADJ
cana-4248	2	17	-	-	PUNCT
cana-4248	2	18	term	term	NOUN
cana-4248	2	19	ecg	ecg	PROPN
cana-4248	2	20	analysis	analysis	NOUN
cana-4248	2	21	bukya	bukya	NOUN
cana-4248	2	22	mohan	mohan	PROPN
cana-4248	2	23	babu1	babu1	PROPN
cana-4248	2	24	and	and	CCONJ
cana-4248	2	25	dr	dr	PROPN
cana-4248	2	26	b.sandhya2	b.sandhya2	PROPN
cana-4248	2	27	1research	1research	NUM
cana-4248	2	28	scholar	scholar	NOUN
cana-4248	2	29	,	,	PUNCT
cana-4248	2	30	cse	cse	PROPN
cana-4248	2	31	department	department	PROPN
cana-4248	2	32	,	,	PUNCT
cana-4248	2	33	university	university	NOUN
cana-4248	2	34	college	college	NOUN
cana-4248	2	35	of	of	ADP
cana-4248	2	36	engineering	engineering	PROPN
cana-4248	2	37	,	,	PUNCT
cana-4248	2	38	osmania	osmania	PROPN
cana-4248	2	39	university	university	PROPN
cana-4248	2	40	,	,	PUNCT
cana-4248	2	41	india	india	PROPN
cana-4248	2	42	e	e	PROPN
cana-4248	2	43	-	-	NOUN
cana-4248	2	44	mail	mail	NOUN
cana-4248	2	45	:	:	PUNCT
cana-4248	3	1	mohanbabubukya@gmail.com	mohanbabubukya@gmail.com	PROPN
cana-4248	3	2	2professor	2professor	NUM
cana-4248	3	3	,	,	PUNCT
cana-4248	3	4	cse	cse	PROPN
cana-4248	3	5	department	department	PROPN
cana-4248	3	6	,	,	PUNCT
cana-4248	3	7	mvsr	mvsr	NOUN
cana-4248	3	8	engineering	engineering	NOUN
cana-4248	3	9	college	college	PROPN
cana-4248	3	10	,	,	PUNCT
cana-4248	3	11	india	india	PROPN
cana-4248	3	12	e	e	PROPN
cana-4248	3	13	-	-	NOUN
cana-4248	3	14	mail	mail	NOUN
cana-4248	3	15	:	:	PUNCT
cana-4248	3	16	sandhya_cse@mvsrec.edu.in	sandhya_cse@mvsrec.edu.in	PROPN
cana-4248	3	17	article	article	NOUN
cana-4248	3	18	history	history	NOUN
cana-4248	3	19	:	:	PUNCT
cana-4248	3	20	received	receive	VERB
cana-4248	3	21	:	:	PUNCT
cana-4248	3	22	12	12	NUM
cana-4248	3	23	-	-	SYM
cana-4248	3	24	01	01	NUM
cana-4248	3	25	-	-	PUNCT
cana-4248	3	26	2025	2025	NUM
cana-4248	3	27	revised	revise	VERB
cana-4248	3	28	:	:	PUNCT
cana-4248	3	29	15	15	NUM
cana-4248	3	30	-	-	NUM
cana-4248	3	31	02	02	NUM
cana-4248	3	32	-	-	PUNCT
cana-4248	3	33	2025	2025	NUM
cana-4248	3	34	accepted	accept	VERB
cana-4248	3	35	:	:	PUNCT
cana-4248	3	36	01	01	NUM
cana-4248	3	37	-	-	SYM
cana-4248	3	38	03	03	NUM
cana-4248	3	39	-	-	PUNCT
cana-4248	3	40	2025	2025	NUM
cana-4248	3	41	abstract	abstract	NOUN
cana-4248	3	42	:	:	PUNCT
cana-4248	3	43	arrhythmia	arrhythmia	NOUN
cana-4248	3	44	,	,	PUNCT
cana-4248	3	45	a	a	DET
cana-4248	3	46	severe	severe	ADJ
cana-4248	3	47	type	type	NOUN
cana-4248	3	48	of	of	ADP
cana-4248	3	49	heart	heart	NOUN
cana-4248	3	50	disease	disease	NOUN
cana-4248	3	51	,	,	PUNCT
cana-4248	3	52	results	result	VERB
cana-4248	3	53	from	from	ADP
cana-4248	3	54	disruptions	disruption	NOUN
cana-4248	3	55	in	in	ADP
cana-4248	3	56	the	the	DET
cana-4248	3	57	heart	heart	NOUN
cana-4248	3	58	's	's	PART
cana-4248	3	59	electrical	electrical	ADJ
cana-4248	3	60	system	system	NOUN
cana-4248	3	61	,	,	PUNCT
cana-4248	3	62	leading	lead	VERB
cana-4248	3	63	to	to	ADP
cana-4248	3	64	irregular	irregular	ADJ
cana-4248	3	65	heartbeats	heartbeat	NOUN
cana-4248	3	66	.	.	PUNCT
cana-4248	4	1	electrocardiograms	electrocardiogram	NOUN
cana-4248	4	2	(	(	PUNCT
cana-4248	4	3	ecgs	ecgs	PROPN
cana-4248	4	4	)	)	PUNCT
cana-4248	4	5	play	play	VERB
cana-4248	4	6	a	a	DET
cana-4248	4	7	crucial	crucial	ADJ
cana-4248	4	8	role	role	NOUN
cana-4248	4	9	in	in	ADP
cana-4248	4	10	monitoring	monitoring	NOUN
cana-4248	4	11	and	and	CCONJ
cana-4248	4	12	diagnosing	diagnose	VERB
cana-4248	4	13	heart	heart	NOUN
cana-4248	4	14	conditions	condition	NOUN
cana-4248	4	15	by	by	ADP
cana-4248	4	16	recording	record	VERB
cana-4248	4	17	the	the	DET
cana-4248	4	18	heart	heart	NOUN
cana-4248	4	19	's	's	PART
cana-4248	4	20	electrical	electrical	ADJ
cana-4248	4	21	activity	activity	NOUN
cana-4248	4	22	over	over	ADP
cana-4248	4	23	time	time	NOUN
cana-4248	4	24	.	.	PUNCT
cana-4248	5	1	they	they	PRON
cana-4248	5	2	serve	serve	VERB
cana-4248	5	3	as	as	ADP
cana-4248	5	4	the	the	DET
cana-4248	5	5	primary	primary	ADJ
cana-4248	5	6	diagnostic	diagnostic	ADJ
cana-4248	5	7	tool	tool	NOUN
cana-4248	5	8	for	for	ADP
cana-4248	5	9	capturing	capture	VERB
cana-4248	5	10	and	and	CCONJ
cana-4248	5	11	analyzing	analyze	VERB
cana-4248	5	12	the	the	DET
cana-4248	5	13	heart	heart	NOUN
cana-4248	5	14	's	's	PART
cana-4248	5	15	electrical	electrical	ADJ
cana-4248	5	16	activity	activity	NOUN
cana-4248	5	17	,	,	PUNCT
cana-4248	5	18	essential	essential	ADJ
cana-4248	5	19	for	for	ADP
cana-4248	5	20	early	early	ADJ
cana-4248	5	21	diagnosis	diagnosis	NOUN
cana-4248	5	22	and	and	CCONJ
cana-4248	5	23	treatment	treatment	NOUN
cana-4248	5	24	planning	planning	NOUN
cana-4248	5	25	.	.	PUNCT
cana-4248	6	1	arrhythmias	arrhythmia	NOUN
cana-4248	6	2	,	,	PUNCT
cana-4248	6	3	characterized	characterize	VERB
cana-4248	6	4	by	by	ADP
cana-4248	6	5	irregular	irregular	ADJ
cana-4248	6	6	heart	heart	NOUN
cana-4248	6	7	rhythms	rhythm	NOUN
cana-4248	6	8	,	,	PUNCT
cana-4248	6	9	manifest	manifest	VERB
cana-4248	6	10	in	in	ADP
cana-4248	6	11	various	various	ADJ
cana-4248	6	12	forms	form	NOUN
cana-4248	6	13	of	of	ADP
cana-4248	6	14	coronary	coronary	ADJ
cana-4248	6	15	heart	heart	NOUN
cana-4248	6	16	disease	disease	NOUN
cana-4248	6	17	.	.	PUNCT
cana-4248	7	1	these	these	DET
cana-4248	7	2	irregularities	irregularity	NOUN
cana-4248	7	3	occur	occur	VERB
cana-4248	7	4	when	when	SCONJ
cana-4248	7	5	the	the	DET
cana-4248	7	6	heart	heart	NOUN
cana-4248	7	7	's	's	PART
cana-4248	7	8	electrical	electrical	ADJ
cana-4248	7	9	impulses	impulse	NOUN
cana-4248	7	10	deviate	deviate	VERB
cana-4248	7	11	from	from	ADP
cana-4248	7	12	normal	normal	ADJ
cana-4248	7	13	functioning	functioning	NOUN
cana-4248	7	14	,	,	PUNCT
cana-4248	7	15	resulting	result	VERB
cana-4248	7	16	in	in	ADP
cana-4248	7	17	either	either	PRON
cana-4248	7	18	tachycardia	tachycardia	NOUN
cana-4248	7	19	or	or	CCONJ
cana-4248	7	20	bradycardia	bradycardia	NOUN
cana-4248	7	21	.	.	PUNCT
cana-4248	8	1	the	the	DET
cana-4248	8	2	complexity	complexity	NOUN
cana-4248	8	3	of	of	ADP
cana-4248	8	4	ecg	ecg	PROPN
cana-4248	8	5	waveforms	waveform	NOUN
cana-4248	8	6	makes	make	VERB
cana-4248	8	7	manual	manual	ADJ
cana-4248	8	8	detection	detection	NOUN
cana-4248	8	9	of	of	ADP
cana-4248	8	10	arrhythmias	arrhythmia	NOUN
cana-4248	8	11	challenging	challenge	VERB
cana-4248	8	12	for	for	ADP
cana-4248	8	13	healthcare	healthcare	NOUN
cana-4248	8	14	professionals	professional	NOUN
cana-4248	8	15	.	.	PUNCT
cana-4248	9	1	consequently	consequently	ADV
cana-4248	9	2	,	,	PUNCT
cana-4248	9	3	deep	deep	ADJ
cana-4248	9	4	learning	learning	NOUN
cana-4248	9	5	techniques	technique	NOUN
cana-4248	9	6	are	be	AUX
cana-4248	9	7	increasingly	increasingly	ADV
cana-4248	9	8	applied	apply	VERB
cana-4248	9	9	for	for	ADP
cana-4248	9	10	automatic	automatic	ADJ
cana-4248	9	11	detection	detection	NOUN
cana-4248	9	12	,	,	PUNCT
cana-4248	9	13	enabling	enable	VERB
cana-4248	9	14	timely	timely	ADJ
cana-4248	9	15	clinical	clinical	ADJ
cana-4248	9	16	diagnosis	diagnosis	NOUN
cana-4248	9	17	and	and	CCONJ
cana-4248	9	18	treatment	treatment	NOUN
cana-4248	9	19	.	.	PUNCT
cana-4248	10	1	this	this	DET
cana-4248	10	2	paper	paper	NOUN
cana-4248	10	3	explores	explore	VERB
cana-4248	10	4	methodologies	methodology	NOUN
cana-4248	10	5	for	for	ADP
cana-4248	10	6	generating	generate	VERB
cana-4248	10	7	and	and	CCONJ
cana-4248	10	8	processing	process	VERB
cana-4248	10	9	ecg	ecg	PROPN
cana-4248	10	10	time	time	NOUN
cana-4248	10	11	series	series	PROPN
cana-4248	10	12	data	datum	NOUN
cana-4248	10	13	using	use	VERB
cana-4248	10	14	python	python	NOUN
cana-4248	10	15	,	,	PUNCT
cana-4248	10	16	focusing	focus	VERB
cana-4248	10	17	on	on	ADP
cana-4248	10	18	two	two	NUM
cana-4248	10	19	primary	primary	ADJ
cana-4248	10	20	approaches	approach	NOUN
cana-4248	10	21	:	:	PUNCT
cana-4248	10	22	generating	generate	VERB
cana-4248	10	23	synthetic	synthetic	ADJ
cana-4248	10	24	ecg	ecg	PROPN
cana-4248	10	25	signals	signal	NOUN
cana-4248	10	26	and	and	CCONJ
cana-4248	10	27	analyzing	analyze	VERB
cana-4248	10	28	real	real	ADJ
cana-4248	10	29	ecg	ecg	PROPN
cana-4248	10	30	data	datum	NOUN
cana-4248	10	31	through	through	ADP
cana-4248	10	32	the	the	DET
cana-4248	10	33	mit	mit	VERB
cana-4248	10	34	-	-	PUNCT
cana-4248	10	35	bih	bih	NOUN
cana-4248	10	36	arrhythmia	arrhythmia	NOUN
cana-4248	10	37	dataset	dataset	NOUN
cana-4248	10	38	.	.	PUNCT
cana-4248	11	1	various	various	ADJ
cana-4248	11	2	deep	deep	ADJ
cana-4248	11	3	learning	learning	NOUN
cana-4248	11	4	models	model	NOUN
cana-4248	11	5	,	,	PUNCT
cana-4248	11	6	including	include	VERB
cana-4248	11	7	support	support	NOUN
cana-4248	11	8	vector	vector	NOUN
cana-4248	11	9	machine	machine	NOUN
cana-4248	11	10	(	(	PUNCT
cana-4248	11	11	svm	svm	PROPN
cana-4248	11	12	)	)	PUNCT
cana-4248	11	13	,	,	PUNCT
cana-4248	11	14	convolutional	convolutional	ADJ
cana-4248	11	15	neural	neural	ADJ
cana-4248	11	16	network	network	NOUN
cana-4248	11	17	(	(	PUNCT
cana-4248	11	18	cnn	cnn	PROPN
cana-4248	11	19	)	)	PUNCT
cana-4248	11	20	,	,	PUNCT
cana-4248	11	21	long	long	ADJ
cana-4248	11	22	short	short	ADJ
cana-4248	11	23	-	-	PUNCT
cana-4248	11	24	term	term	NOUN
cana-4248	11	25	memory	memory	NOUN
cana-4248	11	26	(	(	PUNCT
cana-4248	11	27	lstm	lstm	NOUN
cana-4248	11	28	)	)	PUNCT
cana-4248	11	29	,	,	PUNCT
cana-4248	11	30	and	and	CCONJ
cana-4248	11	31	recurrent	recurrent	ADJ
cana-4248	11	32	neural	neural	ADJ
cana-4248	11	33	network	network	NOUN
cana-4248	11	34	(	(	PUNCT
cana-4248	11	35	rnn	rnn	PROPN
cana-4248	11	36	)	)	PUNCT
cana-4248	11	37	classifiers	classifier	NOUN
cana-4248	11	38	,	,	PUNCT
cana-4248	11	39	are	be	AUX
cana-4248	11	40	implemented	implement	VERB
cana-4248	11	41	.	.	PUNCT
cana-4248	12	1	they	they	PRON
cana-4248	12	2	are	be	AUX
cana-4248	12	3	compared	compare	VERB
cana-4248	12	4	to	to	PART
cana-4248	12	5	detect	detect	VERB
cana-4248	12	6	abnormalities	abnormality	NOUN
cana-4248	12	7	in	in	ADP
cana-4248	12	8	different	different	ADJ
cana-4248	12	9	types	type	NOUN
cana-4248	12	10	of	of	ADP
cana-4248	12	11	heartbeats	heartbeat	NOUN
cana-4248	12	12	from	from	ADP
cana-4248	12	13	arrhythmia	arrhythmia	NOUN
cana-4248	12	14	ecg	ecg	PROPN
cana-4248	12	15	datasets	dataset	NOUN
cana-4248	12	16	.	.	PUNCT
cana-4248	13	1	the	the	DET
cana-4248	13	2	rnn	rnn	PROPN
cana-4248	13	3	outperforms	outperform	NOUN
cana-4248	13	4	svm	svm	PROPN
cana-4248	13	5	,	,	PUNCT
cana-4248	13	6	cnn	cnn	PROPN
cana-4248	13	7	,	,	PUNCT
cana-4248	13	8	and	and	CCONJ
cana-4248	13	9	lstm	lstm	NOUN
cana-4248	13	10	models	model	NOUN
cana-4248	13	11	,	,	PUNCT
cana-4248	13	12	achieving	achieve	VERB
cana-4248	13	13	the	the	DET
cana-4248	13	14	highest	high	ADJ
cana-4248	13	15	accuracy	accuracy	NOUN
cana-4248	13	16	of	of	ADP
cana-4248	13	17	99	99	NUM
cana-4248	13	18	%	%	NOUN
cana-4248	13	19	,	,	PUNCT
cana-4248	13	20	precision	precision	NOUN
cana-4248	13	21	of	of	ADP
cana-4248	13	22	0.99	0.99	NUM
cana-4248	13	23	,	,	PUNCT
cana-4248	13	24	recall	recall	NOUN
cana-4248	13	25	of	of	ADP
cana-4248	13	26	0.99	0.99	NUM
cana-4248	13	27	,	,	PUNCT
cana-4248	13	28	and	and	CCONJ
cana-4248	13	29	f1	f1	NOUN
cana-4248	13	30	-	-	PUNCT
cana-4248	13	31	score	score	NOUN
cana-4248	13	32	of	of	ADP
cana-4248	13	33	0.99	0.99	NUM
cana-4248	13	34	.	.	PUNCT
cana-4248	14	1	this	this	DET
cana-4248	14	2	study	study	NOUN
cana-4248	14	3	underscores	underscore	VERB
cana-4248	14	4	the	the	DET
cana-4248	14	5	importance	importance	NOUN
cana-4248	14	6	of	of	ADP
cana-4248	14	7	deep	deep	ADJ
cana-4248	14	8	learning	learning	NOUN
cana-4248	14	9	in	in	ADP
cana-4248	14	10	improving	improve	VERB
cana-4248	14	11	the	the	DET
cana-4248	14	12	accuracy	accuracy	NOUN
cana-4248	14	13	of	of	ADP
cana-4248	14	14	arrhythmia	arrhythmia	NOUN
cana-4248	14	15	detection	detection	NOUN
cana-4248	14	16	and	and	CCONJ
cana-4248	14	17	demonstrates	demonstrate	VERB
cana-4248	14	18	the	the	DET
cana-4248	14	19	effectiveness	effectiveness	NOUN
cana-4248	14	20	of	of	ADP
cana-4248	14	21	rnns	rnn	NOUN
cana-4248	14	22	for	for	ADP
cana-4248	14	23	this	this	DET
cana-4248	14	24	application	application	NOUN
cana-4248	14	25	.	.	PUNCT
cana-4248	15	1	index	index	NOUN
cana-4248	15	2	terms	term	NOUN
cana-4248	15	3	:	:	PUNCT
cana-4248	15	4	arrhythmia	arrhythmia	NOUN
cana-4248	15	5	,	,	PUNCT
cana-4248	15	6	ecg	ecg	PROPN
cana-4248	15	7	,	,	PUNCT
cana-4248	15	8	deep	deep	ADJ
cana-4248	15	9	learning	learning	NOUN
cana-4248	15	10	,	,	PUNCT
cana-4248	15	11	svm	svm	PROPN
cana-4248	15	12	,	,	PUNCT
cana-4248	15	13	cnn	cnn	PROPN
cana-4248	15	14	,	,	PUNCT
cana-4248	15	15	lstm	lstm	PROPN
cana-4248	15	16	,	,	PUNCT
cana-4248	15	17	rnn	rnn	PROPN
cana-4248	15	18	,	,	PUNCT
cana-4248	15	19	mitbih	mitbih	PROPN
cana-4248	15	20	arrhythmia	arrhythmia	NOUN
cana-4248	15	21	dataset	dataset	NOUN
cana-4248	15	22	,	,	PUNCT
cana-4248	15	23	heart	heart	NOUN
cana-4248	15	24	rate	rate	NOUN
cana-4248	15	25	abnormalities	abnormality	NOUN
cana-4248	15	26	,	,	PUNCT
cana-4248	15	27	tachycardia	tachycardia	NOUN
cana-4248	15	28	,	,	PUNCT
cana-4248	15	29	bradycardia	bradycardia	NOUN
cana-4248	15	30	.	.	PUNCT
cana-4248	16	1	1	1	X
cana-4248	16	2	.	.	X
cana-4248	16	3	introduction	introduction	NOUN
cana-4248	16	4	arrhythmia	arrhythmia	NOUN
cana-4248	16	5	,	,	PUNCT
cana-4248	16	6	a	a	DET
cana-4248	16	7	critical	critical	ADJ
cana-4248	16	8	form	form	NOUN
cana-4248	16	9	of	of	ADP
cana-4248	16	10	coronary	coronary	ADJ
cana-4248	16	11	illness	illness	NOUN
cana-4248	16	12	,	,	PUNCT
cana-4248	16	13	arises	arise	VERB
cana-4248	16	14	from	from	ADP
cana-4248	16	15	disruptions	disruption	NOUN
cana-4248	16	16	in	in	ADP
cana-4248	16	17	the	the	DET
cana-4248	16	18	heart	heart	NOUN
cana-4248	16	19	's	's	PART
cana-4248	16	20	electrical	electrical	ADJ
cana-4248	16	21	system	system	NOUN
cana-4248	16	22	,	,	PUNCT
cana-4248	16	23	resulting	result	VERB
cana-4248	16	24	in	in	ADP
cana-4248	16	25	an	an	DET
cana-4248	16	26	irregular	irregular	ADJ
cana-4248	16	27	heartbeat	heartbeat	NOUN
cana-4248	17	1	[	[	X
cana-4248	17	2	1	1	NUM
cana-4248	17	3	]	]	PUNCT
cana-4248	17	4	.	.	PUNCT
cana-4248	18	1	this	this	DET
cana-4248	18	2	condition	condition	NOUN
cana-4248	18	3	can	can	AUX
cana-4248	18	4	cause	cause	VERB
cana-4248	18	5	fainting	fainting	NOUN
cana-4248	18	6	and	and	CCONJ
cana-4248	18	7	increases	increase	VERB
cana-4248	18	8	the	the	DET
cana-4248	18	9	risk	risk	NOUN
cana-4248	18	10	of	of	ADP
cana-4248	18	11	severe	severe	ADJ
cana-4248	18	12	health	health	NOUN
cana-4248	18	13	issues	issue	NOUN
cana-4248	18	14	.	.	PUNCT
cana-4248	19	1	electrocardiograms	electrocardiogram	NOUN
cana-4248	19	2	(	(	PUNCT
cana-4248	19	3	ecgs	ecgs	PROPN
cana-4248	19	4	)	)	PUNCT
cana-4248	19	5	are	be	AUX
cana-4248	19	6	pivotal	pivotal	ADJ
cana-4248	19	7	in	in	ADP
cana-4248	19	8	monitoring	monitoring	NOUN
cana-4248	19	9	and	and	CCONJ
cana-4248	19	10	diagnosing	diagnose	VERB
cana-4248	19	11	heart	heart	NOUN
cana-4248	19	12	conditions	condition	NOUN
cana-4248	19	13	by	by	ADP
cana-4248	19	14	recording	record	VERB
cana-4248	19	15	the	the	DET
cana-4248	19	16	heart	heart	NOUN
cana-4248	19	17	's	's	PART
cana-4248	19	18	electrical	electrical	ADJ
cana-4248	19	19	activity	activity	NOUN
cana-4248	19	20	[	[	X
cana-4248	19	21	2	2	NUM
cana-4248	19	22	]	]	PUNCT
cana-4248	19	23	.	.	PUNCT
cana-4248	20	1	arrhythmias	arrhythmia	NOUN
cana-4248	20	2	manifest	manifest	VERB
cana-4248	20	3	as	as	ADP
cana-4248	20	4	either	either	DET
cana-4248	20	5	tachycardia	tachycardia	NOUN
cana-4248	20	6	(	(	PUNCT
cana-4248	20	7	a	a	DET
cana-4248	20	8	fast	fast	ADJ
cana-4248	20	9	heart	heart	NOUN
cana-4248	20	10	rate	rate	NOUN
cana-4248	20	11	)	)	PUNCT
cana-4248	20	12	or	or	CCONJ
cana-4248	20	13	bradycardia	bradycardia	NOUN
cana-4248	20	14	(	(	PUNCT
cana-4248	20	15	a	a	DET
cana-4248	20	16	slow	slow	ADJ
cana-4248	20	17	heart	heart	NOUN
cana-4248	20	18	rate	rate	NOUN
cana-4248	20	19	)	)	PUNCT
cana-4248	21	1	[	[	X
cana-4248	21	2	3	3	NUM
cana-4248	21	3	]	]	PUNCT
cana-4248	21	4	.	.	PUNCT
cana-4248	22	1	detecting	detect	VERB
cana-4248	22	2	these	these	DET
cana-4248	22	3	anomalies	anomaly	NOUN
cana-4248	22	4	is	be	AUX
cana-4248	22	5	crucial	crucial	ADJ
cana-4248	22	6	for	for	SCONJ
cana-4248	22	7	communications	communication	NOUN
cana-4248	22	8	on	on	ADP
cana-4248	22	9	applied	apply	VERB
cana-4248	22	10	nonlinear	nonlinear	ADJ
cana-4248	22	11	analysis	analysis	NOUN
cana-4248	22	12	issn	issn	NOUN
cana-4248	22	13	:	:	PUNCT
cana-4248	22	14	1074	1074	NUM
cana-4248	22	15	-	-	PUNCT
cana-4248	22	16	133x	133x	NUM
cana-4248	22	17	vol	vol	NOUN
cana-4248	22	18	32	32	NUM
cana-4248	22	19	no	no	NOUN
cana-4248	22	20	.	.	PUNCT
cana-4248	23	1	9s	9s	NUM
cana-4248	23	2	(	(	PUNCT
cana-4248	23	3	2025	2025	NUM
cana-4248	23	4	)	)	PUNCT
cana-4248	23	5	1588	1588	NUM
cana-4248	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	23	7	timely	timely	ADJ
cana-4248	23	8	treatment	treatment	NOUN
cana-4248	23	9	,	,	PUNCT
cana-4248	23	10	as	as	SCONJ
cana-4248	23	11	untreated	untreated	ADJ
cana-4248	23	12	arrhythmias	arrhythmia	NOUN
cana-4248	23	13	can	can	AUX
cana-4248	23	14	lead	lead	VERB
cana-4248	23	15	to	to	ADP
cana-4248	23	16	complications	complication	NOUN
cana-4248	23	17	like	like	ADP
cana-4248	23	18	stroke	stroke	NOUN
cana-4248	23	19	,	,	PUNCT
cana-4248	23	20	heart	heart	NOUN
cana-4248	23	21	failure	failure	NOUN
cana-4248	23	22	,	,	PUNCT
cana-4248	23	23	and	and	CCONJ
cana-4248	23	24	sudden	sudden	ADJ
cana-4248	23	25	cardiac	cardiac	ADJ
cana-4248	23	26	arrest	arrest	NOUN
cana-4248	23	27	[	[	X
cana-4248	23	28	4	4	NUM
cana-4248	23	29	]	]	PUNCT
cana-4248	23	30	.	.	PUNCT
cana-4248	24	1	traditionally	traditionally	ADV
cana-4248	24	2	,	,	PUNCT
cana-4248	24	3	diagnosing	diagnosing	NOUN
cana-4248	24	4	arrhythmias	arrhythmia	NOUN
cana-4248	24	5	relied	rely	VERB
cana-4248	24	6	on	on	ADP
cana-4248	24	7	manual	manual	ADJ
cana-4248	24	8	analysis	analysis	NOUN
cana-4248	24	9	of	of	ADP
cana-4248	24	10	ecg	ecg	PROPN
cana-4248	24	11	recordings	recording	NOUN
cana-4248	24	12	by	by	ADP
cana-4248	24	13	cardiologists	cardiologist	NOUN
cana-4248	24	14	,	,	PUNCT
cana-4248	24	15	a	a	DET
cana-4248	24	16	method	method	NOUN
cana-4248	24	17	prone	prone	ADJ
cana-4248	24	18	to	to	ADP
cana-4248	24	19	human	human	ADJ
cana-4248	24	20	error	error	NOUN
cana-4248	24	21	and	and	CCONJ
cana-4248	24	22	time	time	NOUN
cana-4248	24	23	-	-	PUNCT
cana-4248	24	24	consuming	consume	VERB
cana-4248	24	25	[	[	X
cana-4248	24	26	5	5	NUM
cana-4248	24	27	]	]	PUNCT
cana-4248	24	28	.	.	PUNCT
cana-4248	25	1	hence	hence	ADV
cana-4248	25	2	,	,	PUNCT
cana-4248	25	3	automated	automate	VERB
cana-4248	25	4	systems	system	NOUN
cana-4248	25	5	for	for	ADP
cana-4248	25	6	accurate	accurate	ADJ
cana-4248	25	7	identification	identification	NOUN
cana-4248	25	8	of	of	ADP
cana-4248	25	9	arrhythmias	arrhythmia	NOUN
cana-4248	25	10	are	be	AUX
cana-4248	25	11	essential	essential	ADJ
cana-4248	25	12	.	.	PUNCT
cana-4248	26	1	deep	deep	ADJ
cana-4248	26	2	learning	learning	NOUN
cana-4248	26	3	,	,	PUNCT
cana-4248	26	4	a	a	DET
cana-4248	26	5	branch	branch	NOUN
cana-4248	26	6	of	of	ADP
cana-4248	26	7	artificial	artificial	ADJ
cana-4248	26	8	intelligence	intelligence	NOUN
cana-4248	26	9	,	,	PUNCT
cana-4248	26	10	has	have	AUX
cana-4248	26	11	emerged	emerge	VERB
cana-4248	26	12	as	as	ADP
cana-4248	26	13	a	a	DET
cana-4248	26	14	powerful	powerful	ADJ
cana-4248	26	15	tool	tool	NOUN
cana-4248	26	16	in	in	ADP
cana-4248	26	17	medical	medical	ADJ
cana-4248	26	18	diagnostics	diagnostic	NOUN
cana-4248	26	19	,	,	PUNCT
cana-4248	26	20	capable	capable	ADJ
cana-4248	26	21	of	of	ADP
cana-4248	26	22	analyzing	analyze	VERB
cana-4248	26	23	large	large	ADJ
cana-4248	26	24	datasets	dataset	NOUN
cana-4248	26	25	of	of	ADP
cana-4248	26	26	ecg	ecg	PROPN
cana-4248	26	27	recordings	recording	NOUN
cana-4248	26	28	to	to	PART
cana-4248	26	29	identify	identify	VERB
cana-4248	26	30	subtle	subtle	ADJ
cana-4248	26	31	patterns	pattern	NOUN
cana-4248	26	32	and	and	CCONJ
cana-4248	26	33	anomalies	anomaly	NOUN
cana-4248	26	34	indicative	indicative	ADJ
cana-4248	26	35	of	of	ADP
cana-4248	26	36	arrhythmias	arrhythmia	NOUN
cana-4248	26	37	[	[	X
cana-4248	26	38	6	6	NUM
cana-4248	26	39	]	]	PUNCT
cana-4248	26	40	.	.	PUNCT
cana-4248	27	1	by	by	ADP
cana-4248	27	2	processing	process	VERB
cana-4248	27	3	data	datum	NOUN
cana-4248	27	4	more	more	ADV
cana-4248	27	5	quickly	quickly	ADV
cana-4248	27	6	and	and	CCONJ
cana-4248	27	7	accurately	accurately	ADV
cana-4248	27	8	than	than	ADP
cana-4248	27	9	human	human	ADJ
cana-4248	27	10	clinicians	clinician	NOUN
cana-4248	27	11	,	,	PUNCT
cana-4248	27	12	deep	deep	ADJ
cana-4248	27	13	learning	learning	NOUN
cana-4248	27	14	algorithms	algorithm	NOUN
cana-4248	27	15	facilitate	facilitate	VERB
cana-4248	27	16	the	the	DET
cana-4248	27	17	rapid	rapid	ADJ
cana-4248	27	18	and	and	CCONJ
cana-4248	27	19	accurate	accurate	ADJ
cana-4248	27	20	identification	identification	NOUN
cana-4248	27	21	of	of	ADP
cana-4248	27	22	arrhythmias	arrhythmia	NOUN
cana-4248	27	23	[	[	X
cana-4248	27	24	7	7	NUM
cana-4248	27	25	]	]	PUNCT
cana-4248	27	26	.	.	PUNCT
cana-4248	28	1	integrating	integrate	VERB
cana-4248	28	2	deep	deep	ADJ
cana-4248	28	3	learning	learning	NOUN
cana-4248	28	4	systems	system	NOUN
cana-4248	28	5	into	into	ADP
cana-4248	28	6	clinical	clinical	ADJ
cana-4248	28	7	practice	practice	NOUN
cana-4248	28	8	enables	enable	VERB
cana-4248	28	9	continuous	continuous	ADJ
cana-4248	28	10	patient	patient	ADJ
cana-4248	28	11	monitoring	monitoring	NOUN
cana-4248	28	12	,	,	PUNCT
cana-4248	28	13	with	with	ADP
cana-4248	28	14	wearable	wearable	ADJ
cana-4248	28	15	devices	device	NOUN
cana-4248	28	16	sending	send	VERB
cana-4248	28	17	real	real	ADJ
cana-4248	28	18	-	-	PUNCT
cana-4248	28	19	time	time	NOUN
cana-4248	28	20	data	datum	NOUN
cana-4248	28	21	to	to	ADP
cana-4248	28	22	models	model	NOUN
cana-4248	28	23	for	for	ADP
cana-4248	28	24	immediate	immediate	ADJ
cana-4248	28	25	detection	detection	NOUN
cana-4248	28	26	of	of	ADP
cana-4248	28	27	arrhythmias	arrhythmia	NOUN
cana-4248	28	28	outside	outside	ADP
cana-4248	28	29	clinical	clinical	ADJ
cana-4248	28	30	settings	setting	NOUN
cana-4248	28	31	[	[	X
cana-4248	28	32	8	8	NUM
cana-4248	28	33	]	]	PUNCT
cana-4248	28	34	.	.	PUNCT
cana-4248	29	1	this	this	DET
cana-4248	29	2	capability	capability	NOUN
cana-4248	29	3	leads	lead	VERB
cana-4248	29	4	to	to	ADP
cana-4248	29	5	earlier	early	ADJ
cana-4248	29	6	interventions	intervention	NOUN
cana-4248	29	7	,	,	PUNCT
cana-4248	29	8	improved	improve	VERB
cana-4248	29	9	patient	patient	ADJ
cana-4248	29	10	outcomes	outcome	NOUN
cana-4248	29	11	,	,	PUNCT
cana-4248	29	12	and	and	CCONJ
cana-4248	29	13	reduced	reduce	VERB
cana-4248	29	14	strain	strain	NOUN
cana-4248	29	15	on	on	ADP
cana-4248	29	16	healthcare	healthcare	NOUN
cana-4248	29	17	systems	system	NOUN
cana-4248	30	1	[	[	X
cana-4248	30	2	9	9	NUM
cana-4248	30	3	]	]	PUNCT
cana-4248	30	4	.	.	PUNCT
cana-4248	31	1	the	the	DET
cana-4248	31	2	application	application	NOUN
cana-4248	31	3	of	of	ADP
cana-4248	31	4	deep	deep	ADJ
cana-4248	31	5	learning	learning	NOUN
cana-4248	31	6	to	to	PART
cana-4248	31	7	arrhythmia	arrhythmia	VERB
cana-4248	31	8	detection	detection	NOUN
cana-4248	31	9	marks	mark	VERB
cana-4248	31	10	a	a	DET
cana-4248	31	11	significant	significant	ADJ
cana-4248	31	12	leap	leap	NOUN
cana-4248	31	13	forward	forward	ADV
cana-4248	31	14	in	in	ADP
cana-4248	31	15	cardiac	cardiac	ADJ
cana-4248	31	16	care	care	NOUN
cana-4248	31	17	,	,	PUNCT
cana-4248	31	18	offering	offer	VERB
cana-4248	31	19	better	well	ADJ
cana-4248	31	20	patient	patient	ADJ
cana-4248	31	21	management	management	NOUN
cana-4248	31	22	and	and	CCONJ
cana-4248	31	23	improved	improve	VERB
cana-4248	31	24	prognoses	prognosis	NOUN
cana-4248	31	25	for	for	ADP
cana-4248	31	26	those	those	PRON
cana-4248	31	27	with	with	ADP
cana-4248	31	28	coronary	coronary	ADJ
cana-4248	31	29	heart	heart	NOUN
cana-4248	31	30	disease	disease	NOUN
cana-4248	31	31	[	[	X
cana-4248	31	32	10	10	NUM
cana-4248	31	33	]	]	PUNCT
cana-4248	31	34	.	.	PUNCT
cana-4248	32	1	2.literature	2.literature	NUM
cana-4248	32	2	survey	survey	VERB
cana-4248	32	3	this	this	DET
cana-4248	32	4	literature	literature	NOUN
cana-4248	32	5	survey	survey	NOUN
cana-4248	32	6	ambitions	ambition	NOUN
cana-4248	32	7	to	to	PART
cana-4248	32	8	discover	discover	VERB
cana-4248	32	9	the	the	DET
cana-4248	32	10	sizable	sizable	ADJ
cana-4248	32	11	advancements	advancement	NOUN
cana-4248	32	12	in	in	ADP
cana-4248	32	13	electrocardiogram	electrocardiogram	NOUN
cana-4248	32	14	(	(	PUNCT
cana-4248	32	15	ecg	ecg	PROPN
cana-4248	32	16	)	)	PUNCT
cana-4248	32	17	arrhythmia	arrhythmia	NOUN
cana-4248	32	18	detection	detection	NOUN
cana-4248	32	19	through	through	ADP
cana-4248	32	20	the	the	DET
cana-4248	32	21	software	software	NOUN
cana-4248	32	22	of	of	ADP
cana-4248	32	23	device	device	NOUN
cana-4248	32	24	getting	get	VERB
cana-4248	32	25	to	to	PART
cana-4248	32	26	know	know	VERB
cana-4248	32	27	and	and	CCONJ
cana-4248	32	28	deep	deep	ADJ
cana-4248	32	29	learning	learning	NOUN
cana-4248	32	30	strategies	strategy	NOUN
cana-4248	32	31	over	over	ADP
cana-4248	32	32	the	the	DET
cana-4248	32	33	last	last	ADJ
cana-4248	32	34	five	five	NUM
cana-4248	32	35	years	year	NOUN
cana-4248	32	36	.	.	PUNCT
cana-4248	33	1	as	as	SCONJ
cana-4248	33	2	cardiovascular	cardiovascular	ADJ
cana-4248	33	3	diseases	disease	NOUN
cana-4248	33	4	keep	keep	VERB
cana-4248	33	5	to	to	PART
cana-4248	33	6	pose	pose	VERB
cana-4248	33	7	a	a	DET
cana-4248	33	8	worldwide	worldwide	ADJ
cana-4248	33	9	fitness	fitness	NOUN
cana-4248	33	10	assignment	assignment	NOUN
cana-4248	33	11	,	,	PUNCT
cana-4248	33	12	the	the	DET
cana-4248	33	13	correct	correct	ADJ
cana-4248	33	14	and	and	CCONJ
cana-4248	33	15	timely	timely	ADJ
cana-4248	33	16	detection	detection	NOUN
cana-4248	33	17	of	of	ADP
cana-4248	33	18	arrhythmias	arrhythmia	NOUN
cana-4248	33	19	is	be	AUX
cana-4248	33	20	vital	vital	ADJ
cana-4248	33	21	for	for	ADP
cana-4248	33	22	effective	effective	ADJ
cana-4248	33	23	affected	affect	VERB
cana-4248	33	24	person	person	NOUN
cana-4248	33	25	care	care	NOUN
cana-4248	33	26	.	.	PUNCT
cana-4248	34	1	traditional	traditional	ADJ
cana-4248	34	2	strategies	strategy	NOUN
cana-4248	34	3	of	of	ADP
cana-4248	34	4	ecg	ecg	PROPN
cana-4248	34	5	analysis	analysis	NOUN
cana-4248	34	6	have	have	AUX
cana-4248	34	7	been	be	AUX
cana-4248	34	8	augmented	augment	VERB
cana-4248	34	9	by	by	ADP
cana-4248	34	10	using	use	VERB
cana-4248	34	11	ml	ml	NOUN
cana-4248	34	12	and	and	CCONJ
cana-4248	34	13	dl	dl	PROPN
cana-4248	34	14	algorithms	algorithm	NOUN
cana-4248	34	15	,	,	PUNCT
cana-4248	34	16	which	which	PRON
cana-4248	34	17	have	have	AUX
cana-4248	34	18	proven	prove	VERB
cana-4248	34	19	top	top	ADJ
cana-4248	34	20	notch	notch	ADJ
cana-4248	34	21	ability	ability	NOUN
cana-4248	34	22	in	in	ADP
cana-4248	34	23	figuring	figure	VERB
cana-4248	34	24	out	out	ADP
cana-4248	34	25	complicated	complicated	ADJ
cana-4248	34	26	patterns	pattern	NOUN
cana-4248	34	27	inside	inside	ADP
cana-4248	34	28	ecg	ecg	PROPN
cana-4248	34	29	signals	signal	NOUN
cana-4248	34	30	.	.	PUNCT
cana-4248	35	1	this	this	DET
cana-4248	35	2	evaluate	evaluate	NOUN
cana-4248	35	3	seeks	seek	VERB
cana-4248	35	4	to	to	PART
cana-4248	35	5	offer	offer	VERB
cana-4248	35	6	a	a	DET
cana-4248	35	7	comprehensive	comprehensive	ADJ
cana-4248	35	8	evaluate	evaluate	NOUN
cana-4248	35	9	of	of	ADP
cana-4248	35	10	the	the	DET
cana-4248	35	11	evolving	evolve	VERB
cana-4248	35	12	landscape	landscape	NOUN
cana-4248	35	13	of	of	ADP
cana-4248	35	14	ecg	ecg	PROPN
cana-4248	35	15	arrhythmia	arrhythmia	NOUN
cana-4248	35	16	detection	detection	NOUN
cana-4248	35	17	,	,	PUNCT
cana-4248	35	18	evaluating	evaluate	VERB
cana-4248	35	19	various	various	ADJ
cana-4248	35	20	algorithmic	algorithmic	ADJ
cana-4248	35	21	methods	method	NOUN
cana-4248	35	22	and	and	CCONJ
cana-4248	35	23	evaluating	evaluate	VERB
cana-4248	35	24	their	their	PRON
cana-4248	35	25	effect	effect	NOUN
cana-4248	35	26	on	on	ADP
cana-4248	35	27	scientific	scientific	ADJ
cana-4248	35	28	diagnostics	diagnostic	NOUN
cana-4248	35	29	.	.	PUNCT
cana-4248	36	1	table	table	NOUN
cana-4248	36	2	.1	.1	PROPN
cana-4248	36	3	literature	literature	PROPN
cana-4248	36	4	survey	survey	PROPN
cana-4248	36	5	year	year	NOUN
cana-4248	36	6	author(s	author(s	PROPN
cana-4248	36	7	)	)	PUNCT
cana-4248	36	8	title	title	NOUN
cana-4248	36	9	method	method	NOUN
cana-4248	36	10	features	feature	VERB
cana-4248	36	11	2023	2023	NUM
cana-4248	36	12	[	[	X
cana-4248	36	13	1	1	X
cana-4248	36	14	]	]	X
cana-4248	36	15	jiayu	jiayu	PROPN
cana-4248	36	16	guo	guo	PROPN
cana-4248	36	17	"	"	PUNCT
cana-4248	36	18	an	an	DET
cana-4248	36	19	ecg	ecg	PROPN
cana-4248	36	20	detection	detection	NOUN
cana-4248	36	21	device	device	NOUN
cana-4248	36	22	based	base	VERB
cana-4248	36	23	on	on	ADP
cana-4248	36	24	convolutional	convolutional	ADJ
cana-4248	36	25	neural	neural	ADJ
cana-4248	36	26	network	network	NOUN
cana-4248	36	27	"	"	PUNCT
cana-4248	36	28	capsule	capsule	NOUN
cana-4248	36	29	network	network	NOUN
cana-4248	36	30	explored	explore	VERB
cana-4248	36	31	the	the	DET
cana-4248	36	32	use	use	NOUN
cana-4248	36	33	of	of	ADP
cana-4248	36	34	capsule	capsule	NOUN
cana-4248	36	35	networks	network	NOUN
cana-4248	36	36	for	for	ADP
cana-4248	36	37	understanding	understand	VERB
cana-4248	36	38	the	the	DET
cana-4248	36	39	hierarchical	hierarchical	ADJ
cana-4248	36	40	relationships	relationship	NOUN
cana-4248	36	41	in	in	ADP
cana-4248	36	42	ecg	ecg	PROPN
cana-4248	36	43	data	datum	NOUN
cana-4248	36	44	.	.	PUNCT
cana-4248	37	1	2022	2022	NUM
cana-4248	38	1	[	[	X
cana-4248	38	2	2	2	NUM
cana-4248	38	3	]	]	X
cana-4248	38	4	barbosa	barbosa	PROPN
cana-4248	38	5	,	,	PUNCT
cana-4248	38	6	l.c.n	l.c.n	NOUN
cana-4248	38	7	.	.	PUNCT
cana-4248	38	8	,	,	PUNCT
cana-4248	38	9	real	real	ADJ
cana-4248	38	10	,	,	PUNCT
cana-4248	38	11	a.	a.	NOUN
cana-4248	38	12	,	,	PUNCT
cana-4248	38	13	&	&	CCONJ
cana-4248	38	14	moreira	moreira	PROPN
cana-4248	38	15	,	,	PUNCT
cana-4248	38	16	a.h.j	a.h.j	PROPN
cana-4248	38	17	.	.	PUNCT
cana-4248	39	1	"	"	PUNCT
cana-4248	39	2	ecg	ecg	PROPN
cana-4248	39	3	classification	classification	NOUN
cana-4248	39	4	with	with	ADP
cana-4248	39	5	deep	deep	ADJ
cana-4248	39	6	learning	learning	NOUN
cana-4248	39	7	models	model	NOUN
cana-4248	39	8	–	–	PUNCT
cana-4248	39	9	a	a	DET
cana-4248	39	10	comparative	comparative	ADJ
cana-4248	39	11	study	study	NOUN
cana-4248	39	12	"	"	PUNCT
cana-4248	39	13	transform	transform	VERB
cana-4248	39	14	er	er	INTJ
cana-4248	39	15	,	,	PUNCT
cana-4248	39	16	attention	attention	NOUN
cana-4248	39	17	introduced	introduce	VERB
cana-4248	39	18	attention	attention	NOUN
cana-4248	39	19	mechanisms	mechanism	NOUN
cana-4248	39	20	and	and	CCONJ
cana-4248	39	21	transformer	transformer	NOUN
cana-4248	39	22	models	model	NOUN
cana-4248	39	23	for	for	ADP
cana-4248	39	24	focusing	focus	VERB
cana-4248	39	25	on	on	ADP
cana-4248	39	26	important	important	ADJ
cana-4248	39	27	segments	segment	NOUN
cana-4248	39	28	of	of	ADP
cana-4248	39	29	ecg	ecg	PROPN
cana-4248	39	30	signals	signal	NOUN
cana-4248	39	31	.	.	PUNCT
cana-4248	40	1	2021	2021	NUM
cana-4248	41	1	[	[	X
cana-4248	41	2	3	3	NUM
cana-4248	41	3	]	]	X
cana-4248	41	4	weimann	weimann	PROPN
cana-4248	41	5	,	,	PUNCT
cana-4248	41	6	k.	k.	PROPN
cana-4248	41	7	,	,	PUNCT
cana-4248	41	8	&	&	CCONJ
cana-4248	41	9	conrad	conrad	PROPN
cana-4248	41	10	"	"	PUNCT
cana-4248	41	11	transfer	transfer	NOUN
cana-4248	41	12	learning	learning	NOUN
cana-4248	41	13	for	for	ADP
cana-4248	41	14	ecg	ecg	PROPN
cana-4248	41	15	classification	classification	NOUN
cana-4248	41	16	"	"	PUNCT
cana-4248	41	17	cnn	cnn	PROPN
cana-4248	41	18	(	(	PUNCT
cana-4248	41	19	transfer	transfer	NOUN
cana-4248	41	20	learning	learning	NOUN
cana-4248	41	21	)	)	PUNCT
cana-4248	41	22	applied	apply	VERB
cana-4248	41	23	transfer	transfer	NOUN
cana-4248	41	24	learning	learn	VERB
cana-4248	41	25	to	to	ADP
cana-4248	41	26	a	a	DET
cana-4248	41	27	pretrained	pretraine	VERB
cana-4248	41	28	cnn	cnn	PROPN
cana-4248	41	29	model	model	NOUN
cana-4248	41	30	for	for	ADP
cana-4248	41	31	improved	improved	ADJ
cana-4248	41	32	ecg	ecg	PROPN
cana-4248	41	33	arrhythmia	arrhythmia	NOUN
cana-4248	41	34	detection	detection	NOUN
cana-4248	41	35	.	.	PUNCT
cana-4248	42	1	2020	2020	NUM
cana-4248	42	2	masoud	masoud	PROPN
cana-4248	42	3	daneshtala	daneshtala	PROPN
cana-4248	42	4	"	"	PUNCT
cana-4248	42	5	a	a	DET
cana-4248	42	6	review	review	NOUN
cana-4248	42	7	on	on	ADP
cana-4248	42	8	deep	deep	ADJ
cana-4248	42	9	learning	learning	NOUN
cana-4248	42	10	methods	method	NOUN
cana-4248	42	11	for	for	ADP
cana-4248	42	12	lstm	lstm	NOUN
cana-4248	42	13	,	,	PUNCT
cana-4248	42	14	applied	apply	VERB
cana-4248	42	15	lstm	lstm	NOUN
cana-4248	42	16	and	and	CCONJ
cana-4248	42	17	gru	gru	NOUN
cana-4248	42	18	units	unit	NOUN
cana-4248	42	19	to	to	PART
cana-4248	42	20	seize	seize	VERB
cana-4248	42	21	lengthy	lengthy	ADJ
cana-4248	42	22	-	-	PUNCT
cana-4248	42	23	term	term	NOUN
cana-4248	42	24	dependencies	dependency	NOUN
cana-4248	42	25	in	in	ADP
cana-4248	42	26	communications	communication	NOUN
cana-4248	42	27	on	on	ADP
cana-4248	42	28	applied	apply	VERB
cana-4248	42	29	nonlinear	nonlinear	ADJ
cana-4248	42	30	analysis	analysis	NOUN
cana-4248	42	31	issn	issn	NOUN
cana-4248	42	32	:	:	PUNCT
cana-4248	42	33	1074	1074	NUM
cana-4248	42	34	-	-	PUNCT
cana-4248	42	35	133x	133x	NUM
cana-4248	42	36	vol	vol	NOUN
cana-4248	42	37	32	32	NUM
cana-4248	43	1	no	no	NOUN
cana-4248	43	2	.	.	PUNCT
cana-4248	44	1	9s	9s	NUM
cana-4248	44	2	(	(	PUNCT
cana-4248	44	3	2025	2025	NUM
cana-4248	44	4	)	)	PUNCT
cana-4248	44	5	1589	1589	NUM
cana-4248	44	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	45	1	[	[	X
cana-4248	45	2	5	5	NUM
cana-4248	45	3	]	]	SYM
cana-4248	45	4	b	b	NOUN
cana-4248	45	5	and	and	CCONJ
cana-4248	45	6	arash	arash	PROPN
cana-4248	45	7	gharehbag	gharehbag	PROPN
cana-4248	45	8	hi	hi	PROPN
cana-4248	45	9	ecg	ecg	PROPN
cana-4248	45	10	arrhythmia	arrhythmia	PROPN
cana-4248	45	11	classification	classification	PROPN
cana-4248	45	12	"	"	PUNCT
cana-4248	45	13	gru	gru	NOUN
cana-4248	45	14	ecg	ecg	PROPN
cana-4248	45	15	time	time	NOUN
cana-4248	45	16	collection	collection	NOUN
cana-4248	45	17	data	datum	NOUN
cana-4248	45	18	.	.	PUNCT
cana-4248	46	1	2019	2019	NUM
cana-4248	47	1	[	[	SYM
cana-4248	47	2	6	6	NUM
cana-4248	47	3	]	]	X
cana-4248	47	4	lisha	lisha	PROPN
cana-4248	47	5	niu	niu	PROPN
cana-4248	47	6	and	and	CCONJ
cana-4248	47	7	chao	chao	PROPN
cana-4248	47	8	chen	chen	PROPN
cana-4248	47	9	"	"	PUNCT
cana-4248	47	10	a	a	DET
cana-4248	47	11	deep	deep	ADV
cana-4248	47	12	-	-	PUNCT
cana-4248	47	13	learning	learn	VERB
cana-4248	47	14	approach	approach	NOUN
cana-4248	47	15	to	to	ADP
cana-4248	47	16	ecg	ecg	PROPN
cana-4248	47	17	classification	classification	NOUN
cana-4248	47	18	based	base	VERB
cana-4248	47	19	on	on	ADP
cana-4248	47	20	adversarial	adversarial	ADJ
cana-4248	47	21	domain	domain	NOUN
cana-4248	47	22	adaptation	adaptation	NOUN
cana-4248	47	23	"	"	PUNCT
cana-4248	47	24	cnn	cnn	PROPN
cana-4248	47	25	developed	develop	VERB
cana-4248	47	26	a	a	DET
cana-4248	47	27	1d	1d	NUM
cana-4248	47	28	cnn	cnn	NOUN
cana-4248	47	29	version	version	NOUN
cana-4248	47	30	for	for	ADP
cana-4248	47	31	ecg	ecg	PROPN
cana-4248	47	32	sign	sign	PROPN
cana-4248	47	33	category	category	NOUN
cana-4248	47	34	into	into	ADP
cana-4248	47	35	numerous	numerous	ADJ
cana-4248	47	36	arrhythmia	arrhythmia	NOUN
cana-4248	47	37	categories	category	NOUN
cana-4248	47	38	.	.	PUNCT
cana-4248	48	1	2019	2019	NUM
cana-4248	49	1	[	[	X
cana-4248	49	2	7	7	NUM
cana-4248	49	3	]	]	X
cana-4248	49	4	janghel	janghel	PROPN
cana-4248	49	5	,	,	PUNCT
cana-4248	49	6	r.r	r.r	PROPN
cana-4248	49	7	"	"	PUNCT
cana-4248	49	8	classification	classification	NOUN
cana-4248	49	9	and	and	CCONJ
cana-4248	49	10	detection	detection	NOUN
cana-4248	49	11	of	of	ADP
cana-4248	49	12	arrhythmia	arrhythmia	NOUN
cana-4248	49	13	in	in	ADP
cana-4248	49	14	ecg	ecg	PROPN
cana-4248	49	15	signal	signal	NOUN
cana-4248	49	16	using	use	VERB
cana-4248	49	17	machine	machine	NOUN
cana-4248	49	18	learning	learning	NOUN
cana-4248	49	19	techniques	technique	NOUN
cana-4248	49	20	"	"	PUNCT
cana-4248	49	21	random	random	ADJ
cana-4248	49	22	forest	forest	NOUN
cana-4248	49	23	,	,	PUNCT
cana-4248	49	24	svm	svm	PROPN
cana-4248	49	25	implemented	implement	VERB
cana-4248	49	26	ensemble	ensemble	ADJ
cana-4248	49	27	methods	method	NOUN
cana-4248	49	28	and	and	CCONJ
cana-4248	49	29	svm	svm	VERB
cana-4248	49	30	for	for	ADP
cana-4248	49	31	classifying	classify	VERB
cana-4248	49	32	ecg	ecg	PROPN
cana-4248	49	33	beats	beat	NOUN
cana-4248	49	34	using	use	VERB
cana-4248	49	35	handcrafted	handcraft	VERB
cana-4248	49	36	features	feature	NOUN
cana-4248	49	37	.	.	PUNCT
cana-4248	50	1	2.1	2.1	NUM
cana-4248	50	2	problem	problem	NOUN
cana-4248	50	3	statement	statement	NOUN
cana-4248	50	4	the	the	DET
cana-4248	50	5	diagnosis	diagnosis	NOUN
cana-4248	50	6	of	of	ADP
cana-4248	50	7	arrhythmias	arrhythmia	NOUN
cana-4248	50	8	traditionally	traditionally	ADV
cana-4248	50	9	relies	rely	VERB
cana-4248	50	10	on	on	ADP
cana-4248	50	11	manual	manual	ADJ
cana-4248	50	12	analysis	analysis	NOUN
cana-4248	50	13	of	of	ADP
cana-4248	50	14	ecg	ecg	PROPN
cana-4248	50	15	recordings	recording	NOUN
cana-4248	50	16	by	by	ADP
cana-4248	50	17	cardiologists	cardiologist	NOUN
cana-4248	50	18	,	,	PUNCT
cana-4248	50	19	a	a	DET
cana-4248	50	20	method	method	NOUN
cana-4248	50	21	that	that	PRON
cana-4248	50	22	is	be	AUX
cana-4248	50	23	time	time	NOUN
cana-4248	50	24	-	-	PUNCT
cana-4248	50	25	consuming	consume	VERB
cana-4248	50	26	,	,	PUNCT
cana-4248	50	27	prone	prone	ADJ
cana-4248	50	28	to	to	ADP
cana-4248	50	29	human	human	ADJ
cana-4248	50	30	error	error	NOUN
cana-4248	50	31	,	,	PUNCT
cana-4248	50	32	and	and	CCONJ
cana-4248	50	33	often	often	ADV
cana-4248	50	34	inadequate	inadequate	ADJ
cana-4248	50	35	for	for	ADP
cana-4248	50	36	detecting	detect	VERB
cana-4248	50	37	subtle	subtle	ADJ
cana-4248	50	38	patterns	pattern	NOUN
cana-4248	50	39	indicative	indicative	ADJ
cana-4248	50	40	of	of	ADP
cana-4248	50	41	arrhythmias	arrhythmia	NOUN
cana-4248	50	42	.	.	PUNCT
cana-4248	51	1	the	the	DET
cana-4248	51	2	small	small	ADJ
cana-4248	51	3	and	and	CCONJ
cana-4248	51	4	complex	complex	ADJ
cana-4248	51	5	waveforms	waveform	NOUN
cana-4248	51	6	in	in	ADP
cana-4248	51	7	ecg	ecg	PROPN
cana-4248	51	8	recordings	recording	NOUN
cana-4248	51	9	make	make	VERB
cana-4248	51	10	it	it	PRON
cana-4248	51	11	challenging	challenge	VERB
cana-4248	51	12	to	to	PART
cana-4248	51	13	accurately	accurately	ADV
cana-4248	51	14	identify	identify	VERB
cana-4248	51	15	arrhythmias	arrhythmia	NOUN
cana-4248	51	16	with	with	ADP
cana-4248	51	17	the	the	DET
cana-4248	51	18	naked	naked	ADJ
cana-4248	51	19	eye	eye	NOUN
cana-4248	51	20	.	.	PUNCT
cana-4248	52	1	this	this	PRON
cana-4248	52	2	underscores	underscore	VERB
cana-4248	52	3	the	the	DET
cana-4248	52	4	need	need	NOUN
cana-4248	52	5	for	for	ADP
cana-4248	52	6	automated	automate	VERB
cana-4248	52	7	,	,	PUNCT
cana-4248	52	8	accurate	accurate	ADJ
cana-4248	52	9	,	,	PUNCT
cana-4248	52	10	and	and	CCONJ
cana-4248	52	11	efficient	efficient	ADJ
cana-4248	52	12	systems	system	NOUN
cana-4248	52	13	to	to	PART
cana-4248	52	14	assist	assist	VERB
cana-4248	52	15	in	in	ADP
cana-4248	52	16	arrhythmia	arrhythmia	NOUN
cana-4248	52	17	detection	detection	NOUN
cana-4248	52	18	.	.	PUNCT
cana-4248	53	1	the	the	DET
cana-4248	53	2	primary	primary	ADJ
cana-4248	53	3	objective	objective	NOUN
cana-4248	53	4	of	of	ADP
cana-4248	53	5	this	this	PRON
cana-4248	53	6	take	take	VERB
cana-4248	53	7	a	a	DET
cana-4248	53	8	look	look	NOUN
cana-4248	53	9	at	at	ADP
cana-4248	53	10	is	be	AUX
cana-4248	53	11	to	to	PART
cana-4248	53	12	explore	explore	VERB
cana-4248	53	13	the	the	DET
cana-4248	53	14	software	software	NOUN
cana-4248	53	15	of	of	ADP
cana-4248	53	16	deep	deep	ADJ
cana-4248	53	17	mastering	mastering	NOUN
cana-4248	53	18	strategies	strategy	NOUN
cana-4248	53	19	for	for	ADP
cana-4248	53	20	the	the	DET
cana-4248	53	21	automated	automate	VERB
cana-4248	53	22	detection	detection	NOUN
cana-4248	53	23	of	of	ADP
cana-4248	53	24	arrhythmias	arrhythmia	NOUN
cana-4248	53	25	from	from	ADP
cana-4248	53	26	ecg	ecg	PROPN
cana-4248	53	27	recordings	recording	NOUN
cana-4248	53	28	.	.	PUNCT
cana-4248	54	1	this	this	PRON
cana-4248	54	2	involves	involve	VERB
cana-4248	54	3	generating	generate	VERB
cana-4248	54	4	and	and	CCONJ
cana-4248	54	5	processing	process	VERB
cana-4248	54	6	ecg	ecg	PROPN
cana-4248	54	7	time	time	NOUN
cana-4248	54	8	series	series	NOUN
cana-4248	54	9	records	record	NOUN
cana-4248	54	10	using	use	VERB
cana-4248	54	11	both	both	CCONJ
cana-4248	54	12	synthetic	synthetic	ADJ
cana-4248	54	13	ecg	ecg	PROPN
cana-4248	54	14	indicators	indicator	NOUN
cana-4248	54	15	and	and	CCONJ
cana-4248	54	16	actual	actual	ADJ
cana-4248	54	17	data	datum	NOUN
cana-4248	54	18	from	from	ADP
cana-4248	54	19	the	the	DET
cana-4248	54	20	mit	mit	VERB
cana-4248	54	21	-	-	PUNCT
cana-4248	54	22	bih	bih	NOUN
cana-4248	54	23	arrhythmia	arrhythmia	NOUN
cana-4248	54	24	dataset	dataset	VERB
cana-4248	54	25	to	to	PART
cana-4248	54	26	make	make	VERB
cana-4248	54	27	certain	certain	ADJ
cana-4248	54	28	a	a	DET
cana-4248	54	29	numerous	numerous	ADJ
cana-4248	54	30	and	and	CCONJ
cana-4248	54	31	comprehensive	comprehensive	ADJ
cana-4248	54	32	dataset	dataset	NOUN
cana-4248	54	33	.	.	PUNCT
cana-4248	55	1	various	various	ADJ
cana-4248	55	2	deep	deep	ADJ
cana-4248	55	3	studying	study	VERB
cana-4248	55	4	models	model	NOUN
cana-4248	55	5	,	,	PUNCT
cana-4248	55	6	including	include	VERB
cana-4248	55	7	svm	svm	PROPN
cana-4248	55	8	,	,	PUNCT
cana-4248	55	9	cnn	cnn	PROPN
cana-4248	55	10	,	,	PUNCT
cana-4248	55	11	lstm	lstm	NOUN
cana-4248	55	12	and	and	CCONJ
cana-4248	55	13	rnn	rnn	PROPN
cana-4248	55	14	classifiers	classifier	NOUN
cana-4248	55	15	,	,	PUNCT
cana-4248	55	16	are	be	AUX
cana-4248	55	17	applied	apply	VERB
cana-4248	55	18	and	and	CCONJ
cana-4248	55	19	compared	compare	VERB
cana-4248	55	20	for	for	ADP
cana-4248	55	21	his	his	PRON
cana-4248	55	22	or	or	CCONJ
cana-4248	55	23	her	her	PRON
cana-4248	55	24	performance	performance	NOUN
cana-4248	55	25	in	in	ADP
cana-4248	55	26	detecting	detect	VERB
cana-4248	55	27	abnormalities	abnormality	NOUN
cana-4248	55	28	in	in	ADP
cana-4248	55	29	exclusive	exclusive	ADJ
cana-4248	55	30	sorts	sort	NOUN
cana-4248	55	31	of	of	ADP
cana-4248	55	32	heartbeats	heartbeat	NOUN
cana-4248	55	33	.	.	PUNCT
cana-4248	56	1	the	the	PRON
cana-4248	56	2	have	have	VERB
cana-4248	56	3	a	a	DET
cana-4248	56	4	look	look	NOUN
cana-4248	56	5	at	at	ADP
cana-4248	56	6	assesses	assesse	NOUN
cana-4248	56	7	the	the	DET
cana-4248	56	8	fashions	fashion	NOUN
cana-4248	56	9	'	'	PART
cana-4248	56	10	accuracy	accuracy	NOUN
cana-4248	56	11	,	,	PUNCT
cana-4248	56	12	precision	precision	NOUN
cana-4248	56	13	,	,	PUNCT
cana-4248	56	14	take	take	VERB
cana-4248	56	15	into	into	ADP
cana-4248	56	16	account	account	NOUN
cana-4248	56	17	,	,	PUNCT
cana-4248	56	18	and	and	CCONJ
cana-4248	56	19	f1	f1	NOUN
cana-4248	56	20	-	-	PUNCT
cana-4248	56	21	score	score	NOUN
cana-4248	56	22	to	to	PART
cana-4248	56	23	become	become	VERB
cana-4248	56	24	aware	aware	ADJ
cana-4248	56	25	of	of	ADP
cana-4248	56	26	the	the	DET
cana-4248	56	27	most	most	ADV
cana-4248	56	28	effective	effective	ADJ
cana-4248	56	29	method	method	NOUN
cana-4248	56	30	for	for	ADP
cana-4248	56	31	arrhythmia	arrhythmia	NOUN
cana-4248	56	32	detection	detection	NOUN
cana-4248	56	33	.	.	PUNCT
cana-4248	57	1	by	by	ADP
cana-4248	57	2	demonstrating	demonstrate	VERB
cana-4248	57	3	the	the	DET
cana-4248	57	4	ability	ability	NOUN
cana-4248	57	5	of	of	ADP
cana-4248	57	6	deep	deep	ADJ
cana-4248	57	7	getting	get	VERB
cana-4248	57	8	to	to	PART
cana-4248	57	9	know	know	VERB
cana-4248	57	10	fashions	fashion	NOUN
cana-4248	57	11	,	,	PUNCT
cana-4248	57	12	specifically	specifically	ADV
cana-4248	57	13	rnns	rnn	NOUN
cana-4248	57	14	,	,	PUNCT
cana-4248	57	15	to	to	PART
cana-4248	57	16	enhance	enhance	VERB
cana-4248	57	17	the	the	DET
cana-4248	57	18	accuracy	accuracy	NOUN
cana-4248	57	19	and	and	CCONJ
cana-4248	57	20	efficiency	efficiency	NOUN
cana-4248	57	21	of	of	ADP
cana-4248	57	22	arrhythmia	arrhythmia	NOUN
cana-4248	57	23	detection	detection	NOUN
cana-4248	57	24	,	,	PUNCT
cana-4248	57	25	this	this	DET
cana-4248	57	26	study	study	NOUN
cana-4248	57	27	pursuits	pursuit	VERB
cana-4248	57	28	to	to	PART
cana-4248	57	29	enhance	enhance	VERB
cana-4248	57	30	affected	affected	ADJ
cana-4248	57	31	person	person	NOUN
cana-4248	57	32	effects	effect	NOUN
cana-4248	57	33	and	and	CCONJ
cana-4248	57	34	decrease	decrease	VERB
cana-4248	57	35	the	the	DET
cana-4248	57	36	workload	workload	NOUN
cana-4248	57	37	on	on	ADP
cana-4248	57	38	healthcare	healthcare	NOUN
cana-4248	57	39	specialists	specialist	NOUN
cana-4248	57	40	,	,	PUNCT
cana-4248	57	41	highlighting	highlight	VERB
cana-4248	57	42	the	the	DET
cana-4248	57	43	importance	importance	NOUN
cana-4248	57	44	of	of	ADP
cana-4248	57	45	deep	deep	ADJ
cana-4248	57	46	mastering	mastering	NOUN
cana-4248	57	47	in	in	ADP
cana-4248	57	48	cardiac	cardiac	ADJ
cana-4248	57	49	care	care	NOUN
cana-4248	57	50	.	.	PUNCT
cana-4248	58	1	2.2	2.2	NUM
cana-4248	58	2	ecg	ecg	PROPN
cana-4248	58	3	dataset	dataset	VERB
cana-4248	58	4	the	the	DET
cana-4248	58	5	ecg	ecg	PROPN
cana-4248	58	6	signals	signal	NOUN
cana-4248	58	7	dataset	dataset	NOUN
cana-4248	58	8	comprises	comprise	VERB
cana-4248	58	9	a	a	DET
cana-4248	58	10	diverse	diverse	ADJ
cana-4248	58	11	collection	collection	NOUN
cana-4248	58	12	of	of	ADP
cana-4248	58	13	electrocardiogram	electrocardiogram	NOUN
cana-4248	58	14	(	(	PUNCT
cana-4248	58	15	ecg	ecg	PROPN
cana-4248	58	16	)	)	PUNCT
cana-4248	58	17	recordings	recording	NOUN
cana-4248	58	18	representing	represent	VERB
cana-4248	58	19	different	different	ADJ
cana-4248	58	20	cardiac	cardiac	ADJ
cana-4248	58	21	conditions	condition	NOUN
cana-4248	58	22	and	and	CCONJ
cana-4248	58	23	abnormalities	abnormality	NOUN
cana-4248	58	24	.	.	PUNCT
cana-4248	59	1	this	this	DET
cana-4248	59	2	dataset	dataset	NOUN
cana-4248	59	3	is	be	AUX
cana-4248	59	4	invaluable	invaluable	ADJ
cana-4248	59	5	for	for	ADP
cana-4248	59	6	research	research	NOUN
cana-4248	59	7	and	and	CCONJ
cana-4248	59	8	development	development	NOUN
cana-4248	59	9	in	in	ADP
cana-4248	59	10	the	the	DET
cana-4248	59	11	field	field	NOUN
cana-4248	59	12	of	of	ADP
cana-4248	59	13	cardiology	cardiology	NOUN
cana-4248	59	14	,	,	PUNCT
cana-4248	59	15	particularly	particularly	ADV
cana-4248	59	16	in	in	ADP
cana-4248	59	17	the	the	DET
cana-4248	59	18	areas	area	NOUN
cana-4248	59	19	of	of	ADP
cana-4248	59	20	arrhythmia	arrhythmia	NOUN
cana-4248	59	21	detection	detection	NOUN
cana-4248	59	22	and	and	CCONJ
cana-4248	59	23	classification	classification	NOUN
cana-4248	59	24	.	.	PUNCT
cana-4248	60	1	here	here	ADV
cana-4248	60	2	's	be	AUX
cana-4248	60	3	a	a	DET
cana-4248	60	4	breakdown	breakdown	NOUN
cana-4248	60	5	of	of	ADP
cana-4248	60	6	the	the	DET
cana-4248	60	7	various	various	ADJ
cana-4248	60	8	types	type	NOUN
cana-4248	60	9	of	of	ADP
cana-4248	60	10	signals	signal	NOUN
cana-4248	60	11	included	include	VERB
cana-4248	60	12	in	in	ADP
cana-4248	60	13	the	the	DET
cana-4248	60	14	dataset	dataset	NOUN
cana-4248	60	15	:	:	PUNCT
cana-4248	60	16	communications	communication	NOUN
cana-4248	60	17	on	on	ADP
cana-4248	60	18	applied	apply	VERB
cana-4248	60	19	nonlinear	nonlinear	ADJ
cana-4248	60	20	analysis	analysis	NOUN
cana-4248	60	21	issn	issn	NOUN
cana-4248	60	22	:	:	PUNCT
cana-4248	60	23	1074	1074	NUM
cana-4248	60	24	-	-	PUNCT
cana-4248	60	25	133x	133x	NUM
cana-4248	60	26	vol	vol	NOUN
cana-4248	60	27	32	32	NUM
cana-4248	61	1	no	no	NOUN
cana-4248	61	2	.	.	PUNCT
cana-4248	62	1	9s	9s	NUM
cana-4248	62	2	(	(	PUNCT
cana-4248	62	3	2025	2025	NUM
cana-4248	62	4	)	)	PUNCT
cana-4248	62	5	1590	1590	NUM
cana-4248	63	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	63	2	normal	normal	ADJ
cana-4248	63	3	ecg	ecg	PROPN
cana-4248	63	4	signals	signal	NOUN
cana-4248	63	5	:	:	PUNCT
cana-4248	63	6	these	these	DET
cana-4248	63	7	signals	signal	NOUN
cana-4248	63	8	represent	represent	VERB
cana-4248	63	9	the	the	DET
cana-4248	63	10	typical	typical	ADJ
cana-4248	63	11	electrical	electrical	ADJ
cana-4248	63	12	activity	activity	NOUN
cana-4248	63	13	of	of	ADP
cana-4248	63	14	the	the	DET
cana-4248	63	15	heart	heart	NOUN
cana-4248	63	16	in	in	ADP
cana-4248	63	17	a	a	DET
cana-4248	63	18	healthy	healthy	ADJ
cana-4248	63	19	individual	individual	NOUN
cana-4248	63	20	.	.	PUNCT
cana-4248	64	1	they	they	PRON
cana-4248	64	2	serve	serve	VERB
cana-4248	64	3	as	as	ADP
cana-4248	64	4	the	the	DET
cana-4248	64	5	baseline	baseline	NOUN
cana-4248	64	6	for	for	ADP
cana-4248	64	7	comparison	comparison	NOUN
cana-4248	64	8	with	with	ADP
cana-4248	64	9	signals	signal	NOUN
cana-4248	64	10	exhibiting	exhibit	VERB
cana-4248	64	11	abnormalities	abnormality	NOUN
cana-4248	64	12	.	.	PUNCT
cana-4248	65	1	atrial	atrial	ADJ
cana-4248	65	2	premature	premature	ADJ
cana-4248	65	3	contraction	contraction	NOUN
cana-4248	65	4	(	(	PUNCT
cana-4248	65	5	apc	apc	NOUN
cana-4248	65	6	)	)	PUNCT
cana-4248	65	7	signals	signal	NOUN
cana-4248	65	8	:	:	PUNCT
cana-4248	65	9	apc	apc	PROPN
cana-4248	65	10	signals	signal	NOUN
cana-4248	65	11	occur	occur	VERB
cana-4248	65	12	when	when	SCONJ
cana-4248	65	13	the	the	DET
cana-4248	65	14	electrical	electrical	ADJ
cana-4248	65	15	impulses	impulse	NOUN
cana-4248	65	16	in	in	ADP
cana-4248	65	17	the	the	DET
cana-4248	65	18	heart	heart	NOUN
cana-4248	65	19	originate	originate	VERB
cana-4248	65	20	prematurely	prematurely	ADV
cana-4248	65	21	from	from	ADP
cana-4248	65	22	the	the	DET
cana-4248	65	23	atria	atria	NOUN
cana-4248	65	24	,	,	PUNCT
cana-4248	65	25	leading	lead	VERB
cana-4248	65	26	to	to	ADP
cana-4248	65	27	irregular	irregular	ADJ
cana-4248	65	28	heartbeats	heartbeat	NOUN
cana-4248	65	29	.	.	PUNCT
cana-4248	66	1	these	these	DET
cana-4248	66	2	signals	signal	NOUN
cana-4248	66	3	are	be	AUX
cana-4248	66	4	characterized	characterize	VERB
cana-4248	66	5	by	by	ADP
cana-4248	66	6	abnormal	abnormal	ADJ
cana-4248	66	7	p	p	ADJ
cana-4248	66	8	-	-	PUNCT
cana-4248	66	9	wave	wave	NOUN
cana-4248	66	10	morphology	morphology	NOUN
cana-4248	66	11	and	and	CCONJ
cana-4248	66	12	timing	timing	NOUN
cana-4248	66	13	.	.	PUNCT
cana-4248	67	1	premature	premature	ADJ
cana-4248	67	2	ventricular	ventricular	ADJ
cana-4248	67	3	contraction	contraction	NOUN
cana-4248	67	4	(	(	PUNCT
cana-4248	67	5	pvc	pvc	ADJ
cana-4248	67	6	)	)	PUNCT
cana-4248	67	7	signals	signal	NOUN
cana-4248	67	8	:	:	PUNCT
cana-4248	67	9	pvc	pvc	ADJ
cana-4248	67	10	signals	signal	NOUN
cana-4248	67	11	result	result	VERB
cana-4248	67	12	from	from	ADP
cana-4248	67	13	early	early	ADJ
cana-4248	67	14	activation	activation	NOUN
cana-4248	67	15	of	of	ADP
cana-4248	67	16	the	the	DET
cana-4248	67	17	ventricles	ventricle	NOUN
cana-4248	67	18	before	before	ADP
cana-4248	67	19	the	the	DET
cana-4248	67	20	normal	normal	ADJ
cana-4248	67	21	heartbeat	heartbeat	NOUN
cana-4248	67	22	originates	originate	NOUN
cana-4248	67	23	.	.	PUNCT
cana-4248	68	1	this	this	DET
cana-4248	68	2	condition	condition	NOUN
cana-4248	68	3	is	be	AUX
cana-4248	68	4	associated	associate	VERB
cana-4248	68	5	with	with	ADP
cana-4248	68	6	irregular	irregular	ADJ
cana-4248	68	7	heartbeats	heartbeat	NOUN
cana-4248	68	8	and	and	CCONJ
cana-4248	68	9	can	can	AUX
cana-4248	68	10	be	be	AUX
cana-4248	68	11	indicative	indicative	ADJ
cana-4248	68	12	of	of	ADP
cana-4248	68	13	underlying	underlie	VERB
cana-4248	68	14	cardiac	cardiac	ADJ
cana-4248	68	15	issues	issue	NOUN
cana-4248	68	16	.	.	PUNCT
cana-4248	69	1	fusion	fusion	NOUN
cana-4248	69	2	of	of	ADP
cana-4248	69	3	ventricular	ventricular	ADJ
cana-4248	69	4	and	and	CCONJ
cana-4248	69	5	normal	normal	ADJ
cana-4248	69	6	signals	signal	NOUN
cana-4248	69	7	:	:	PUNCT
cana-4248	69	8	fusion	fusion	NOUN
cana-4248	69	9	signals	signal	NOUN
cana-4248	69	10	occur	occur	VERB
cana-4248	69	11	when	when	SCONJ
cana-4248	69	12	there	there	PRON
cana-4248	69	13	is	be	VERB
cana-4248	69	14	a	a	DET
cana-4248	69	15	combination	combination	NOUN
cana-4248	69	16	of	of	ADP
cana-4248	69	17	normal	normal	ADJ
cana-4248	69	18	electrical	electrical	ADJ
cana-4248	69	19	activity	activity	NOUN
cana-4248	69	20	and	and	CCONJ
cana-4248	69	21	abnormal	abnormal	ADJ
cana-4248	69	22	ventricular	ventricular	ADJ
cana-4248	69	23	activation	activation	NOUN
cana-4248	69	24	.	.	PUNCT
cana-4248	70	1	these	these	DET
cana-4248	70	2	signals	signal	NOUN
cana-4248	70	3	present	present	VERB
cana-4248	70	4	challenges	challenge	NOUN
cana-4248	70	5	in	in	ADP
cana-4248	70	6	classification	classification	NOUN
cana-4248	70	7	due	due	ADP
cana-4248	70	8	to	to	ADP
cana-4248	70	9	their	their	PRON
cana-4248	70	10	mixed	mixed	ADJ
cana-4248	70	11	nature	nature	NOUN
cana-4248	70	12	.	.	PUNCT
cana-4248	71	1	fusion	fusion	NOUN
cana-4248	71	2	of	of	ADP
cana-4248	71	3	paced	paced	ADJ
cana-4248	71	4	and	and	CCONJ
cana-4248	71	5	normal	normal	ADJ
cana-4248	71	6	signals	signal	NOUN
cana-4248	71	7	:	:	PUNCT
cana-4248	71	8	paced	pace	VERB
cana-4248	71	9	signals	signal	NOUN
cana-4248	71	10	are	be	AUX
cana-4248	71	11	generated	generate	VERB
cana-4248	71	12	artificially	artificially	ADV
cana-4248	71	13	through	through	ADP
cana-4248	71	14	the	the	DET
cana-4248	71	15	use	use	NOUN
cana-4248	71	16	of	of	ADP
cana-4248	71	17	pacemakers	pacemaker	NOUN
cana-4248	71	18	to	to	PART
cana-4248	71	19	regulate	regulate	VERB
cana-4248	71	20	heart	heart	NOUN
cana-4248	71	21	rhythm	rhythm	NOUN
cana-4248	71	22	.	.	PUNCT
cana-4248	72	1	fusion	fusion	NOUN
cana-4248	72	2	of	of	ADP
cana-4248	72	3	paced	paced	ADJ
cana-4248	72	4	and	and	CCONJ
cana-4248	72	5	normal	normal	ADJ
cana-4248	72	6	signals	signal	NOUN
cana-4248	72	7	occurs	occur	VERB
cana-4248	72	8	when	when	SCONJ
cana-4248	72	9	both	both	DET
cana-4248	72	10	artificial	artificial	ADJ
cana-4248	72	11	and	and	CCONJ
cana-4248	72	12	natural	natural	ADJ
cana-4248	72	13	electrical	electrical	ADJ
cana-4248	72	14	activity	activity	NOUN
cana-4248	72	15	is	be	AUX
cana-4248	72	16	present	present	ADJ
cana-4248	72	17	in	in	ADP
cana-4248	72	18	the	the	DET
cana-4248	72	19	ecg	ecg	PROPN
cana-4248	72	20	recording	recording	NOUN
cana-4248	72	21	.	.	PUNCT
cana-4248	73	1	the	the	DET
cana-4248	73	2	dataset	dataset	NOUN
cana-4248	73	3	provides	provide	VERB
cana-4248	73	4	researchers	researcher	NOUN
cana-4248	73	5	and	and	CCONJ
cana-4248	73	6	practitioners	practitioner	NOUN
cana-4248	73	7	with	with	ADP
cana-4248	73	8	a	a	DET
cana-4248	73	9	comprehensive	comprehensive	ADJ
cana-4248	73	10	set	set	NOUN
cana-4248	73	11	of	of	ADP
cana-4248	73	12	ecg	ecg	PROPN
cana-4248	73	13	signals	signal	NOUN
cana-4248	73	14	representing	represent	VERB
cana-4248	73	15	a	a	DET
cana-4248	73	16	wide	wide	ADJ
cana-4248	73	17	range	range	NOUN
cana-4248	73	18	of	of	ADP
cana-4248	73	19	cardiac	cardiac	ADJ
cana-4248	73	20	conditions	condition	NOUN
cana-4248	73	21	.	.	PUNCT
cana-4248	74	1	by	by	ADP
cana-4248	74	2	analyzing	analyze	VERB
cana-4248	74	3	and	and	CCONJ
cana-4248	74	4	studying	study	VERB
cana-4248	74	5	those	those	DET
cana-4248	74	6	indicators	indicator	NOUN
cana-4248	74	7	,	,	PUNCT
cana-4248	74	8	researchers	researcher	NOUN
cana-4248	74	9	can	can	AUX
cana-4248	74	10	expand	expand	VERB
cana-4248	74	11	and	and	CCONJ
cana-4248	74	12	compare	compare	VERB
cana-4248	74	13	algorithms	algorithm	NOUN
cana-4248	74	14	for	for	ADP
cana-4248	74	15	computerized	computerized	ADJ
cana-4248	74	16	detection	detection	NOUN
cana-4248	74	17	and	and	CCONJ
cana-4248	74	18	category	category	NOUN
cana-4248	74	19	of	of	ADP
cana-4248	74	20	arrhythmias	arrhythmia	NOUN
cana-4248	74	21	.	.	PUNCT
cana-4248	75	1	additionally	additionally	ADV
cana-4248	75	2	,	,	PUNCT
cana-4248	75	3	the	the	DET
cana-4248	75	4	dataset	dataset	NOUN
cana-4248	75	5	enables	enable	VERB
cana-4248	75	6	the	the	DET
cana-4248	75	7	training	training	NOUN
cana-4248	75	8	and	and	CCONJ
cana-4248	75	9	validation	validation	NOUN
cana-4248	75	10	of	of	ADP
cana-4248	75	11	gadget	gadget	NOUN
cana-4248	75	12	gaining	gain	VERB
cana-4248	75	13	knowledge	knowledge	NOUN
cana-4248	75	14	of	of	ADP
cana-4248	75	15	and	and	CCONJ
cana-4248	75	16	deep	deep	ADJ
cana-4248	75	17	gaining	gain	VERB
cana-4248	75	18	knowledge	knowledge	NOUN
cana-4248	75	19	of	of	ADP
cana-4248	75	20	models	model	NOUN
cana-4248	75	21	,	,	PUNCT
cana-4248	75	22	in	in	ADP
cana-4248	75	23	the	the	DET
cana-4248	75	24	long	long	ADJ
cana-4248	75	25	run	run	NOUN
cana-4248	75	26	contributing	contribute	VERB
cana-4248	75	27	to	to	ADP
cana-4248	75	28	improvements	improvement	NOUN
cana-4248	75	29	in	in	ADP
cana-4248	75	30	cardiac	cardiac	ADJ
cana-4248	75	31	care	care	NOUN
cana-4248	75	32	and	and	CCONJ
cana-4248	75	33	improving	improve	VERB
cana-4248	75	34	patient	patient	ADJ
cana-4248	75	35	effects	effect	NOUN
cana-4248	75	36	.	.	PUNCT
cana-4248	76	1	figure	figure	VERB
cana-4248	76	2	1.ecg	1.ecg	NUM
cana-4248	76	3	signals	signal	NOUN
cana-4248	76	4	communications	communication	NOUN
cana-4248	76	5	on	on	ADP
cana-4248	76	6	applied	apply	VERB
cana-4248	76	7	nonlinear	nonlinear	ADJ
cana-4248	76	8	analysis	analysis	NOUN
cana-4248	76	9	issn	issn	NOUN
cana-4248	76	10	:	:	PUNCT
cana-4248	76	11	1074	1074	NUM
cana-4248	76	12	-	-	PUNCT
cana-4248	76	13	133x	133x	NUM
cana-4248	76	14	vol	vol	NOUN
cana-4248	76	15	32	32	NUM
cana-4248	76	16	no	no	NOUN
cana-4248	76	17	.	.	PUNCT
cana-4248	77	1	9s	9s	NUM
cana-4248	77	2	(	(	PUNCT
cana-4248	77	3	2025	2025	NUM
cana-4248	77	4	)	)	PUNCT
cana-4248	77	5	1591	1591	NUM
cana-4248	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	77	7	3	3	X
cana-4248	77	8	.	.	NUM
cana-4248	77	9	proposed	propose	VERB
cana-4248	77	10	methodology	methodology	NOUN
cana-4248	77	11	the	the	DET
cana-4248	77	12	approach	approach	NOUN
cana-4248	77	13	of	of	ADP
cana-4248	77	14	this	this	DET
cana-4248	77	15	work	work	NOUN
cana-4248	77	16	is	be	AUX
cana-4248	77	17	structured	structure	VERB
cana-4248	77	18	around	around	ADP
cana-4248	77	19	a	a	DET
cana-4248	77	20	number	number	NOUN
cana-4248	77	21	of	of	ADP
cana-4248	77	22	important	important	ADJ
cana-4248	77	23	components	component	NOUN
cana-4248	77	24	aimed	aim	VERB
cana-4248	77	25	at	at	ADP
cana-4248	77	26	investigating	investigate	VERB
cana-4248	77	27	and	and	CCONJ
cana-4248	77	28	assessing	assess	VERB
cana-4248	77	29	deep	deep	ADJ
cana-4248	77	30	learning	learning	NOUN
cana-4248	77	31	algorithms	algorithm	NOUN
cana-4248	77	32	for	for	ADP
cana-4248	77	33	arrhythmia	arrhythmia	NOUN
cana-4248	77	34	identification	identification	NOUN
cana-4248	77	35	in	in	ADP
cana-4248	77	36	electrocardiogram	electrocardiogram	NOUN
cana-4248	77	37	data	datum	NOUN
cana-4248	77	38	.	.	PUNCT
cana-4248	78	1	these	these	DET
cana-4248	78	2	processes	process	NOUN
cana-4248	78	3	include	include	VERB
cana-4248	78	4	data	datum	NOUN
cana-4248	78	5	collection	collection	NOUN
cana-4248	78	6	,	,	PUNCT
cana-4248	78	7	preprocessing	preprocessing	NOUN
cana-4248	78	8	,	,	PUNCT
cana-4248	78	9	model	model	NOUN
cana-4248	78	10	implementation	implementation	NOUN
cana-4248	78	11	,	,	PUNCT
cana-4248	78	12	training	training	NOUN
cana-4248	78	13	,	,	PUNCT
cana-4248	78	14	and	and	CCONJ
cana-4248	78	15	evaluation.the	evaluation.the	DET
cana-4248	78	16	first	first	ADJ
cana-4248	78	17	step	step	NOUN
cana-4248	78	18	involves	involve	VERB
cana-4248	78	19	collecting	collect	VERB
cana-4248	78	20	ecg	ecg	PROPN
cana-4248	78	21	data	datum	NOUN
cana-4248	78	22	from	from	ADP
cana-4248	78	23	two	two	NUM
cana-4248	78	24	main	main	ADJ
cana-4248	78	25	sources	source	NOUN
cana-4248	78	26	.	.	PUNCT
cana-4248	79	1	initially	initially	ADV
cana-4248	79	2	,	,	PUNCT
cana-4248	79	3	a	a	DET
cana-4248	79	4	broad	broad	ADJ
cana-4248	79	5	and	and	CCONJ
cana-4248	79	6	controlled	control	VERB
cana-4248	79	7	dataset	dataset	NOUN
cana-4248	79	8	is	be	AUX
cana-4248	79	9	assembled	assemble	VERB
cana-4248	79	10	to	to	PART
cana-4248	79	11	train	train	VERB
cana-4248	79	12	the	the	DET
cana-4248	79	13	first	first	ADJ
cana-4248	79	14	model	model	NOUN
cana-4248	79	15	,	,	PUNCT
cana-4248	79	16	generating	generate	VERB
cana-4248	79	17	synthetic	synthetic	ADJ
cana-4248	79	18	ecg	ecg	PROPN
cana-4248	79	19	signals	signal	NOUN
cana-4248	79	20	.	.	PUNCT
cana-4248	80	1	the	the	DET
cana-4248	80	2	mit	mit	VERB
cana-4248	80	3	-	-	PUNCT
cana-4248	80	4	bih	bih	NOUN
cana-4248	80	5	arrhythmia	arrhythmia	NOUN
cana-4248	80	6	dataset	dataset	NOUN
cana-4248	80	7	,	,	PUNCT
cana-4248	80	8	comprised	comprise	VERB
cana-4248	80	9	of	of	ADP
cana-4248	80	10	actual	actual	ADJ
cana-4248	80	11	ecg	ecg	PROPN
cana-4248	80	12	recordings	recording	NOUN
cana-4248	80	13	annotated	annotate	VERB
cana-4248	80	14	by	by	ADP
cana-4248	80	15	experts	expert	NOUN
cana-4248	80	16	,	,	PUNCT
cana-4248	80	17	serves	serve	VERB
cana-4248	80	18	as	as	ADP
cana-4248	80	19	a	a	DET
cana-4248	80	20	valuable	valuable	ADJ
cana-4248	80	21	resource	resource	NOUN
cana-4248	80	22	for	for	ADP
cana-4248	80	23	training	training	NOUN
cana-4248	80	24	and	and	CCONJ
cana-4248	80	25	testing	testing	NOUN
cana-4248	80	26	models	model	NOUN
cana-4248	80	27	.	.	PUNCT
cana-4248	81	1	preparing	prepare	VERB
cana-4248	81	2	the	the	DET
cana-4248	81	3	ecg	ecg	PROPN
cana-4248	81	4	signals	signal	NOUN
cana-4248	81	5	for	for	ADP
cana-4248	81	6	analysis	analysis	NOUN
cana-4248	81	7	involves	involve	VERB
cana-4248	81	8	several	several	ADJ
cana-4248	81	9	steps	step	NOUN
cana-4248	81	10	in	in	ADP
cana-4248	81	11	the	the	DET
cana-4248	81	12	data	data	NOUN
cana-4248	81	13	preprocessing	preprocessing	NOUN
cana-4248	81	14	procedure	procedure	NOUN
cana-4248	81	15	.	.	PUNCT
cana-4248	82	1	to	to	PART
cana-4248	82	2	ensure	ensure	VERB
cana-4248	82	3	uniform	uniform	ADJ
cana-4248	82	4	amplitude	amplitude	NOUN
cana-4248	82	5	across	across	ADP
cana-4248	82	6	recordings	recording	NOUN
cana-4248	82	7	,	,	PUNCT
cana-4248	82	8	the	the	DET
cana-4248	82	9	ecg	ecg	PROPN
cana-4248	82	10	signals	signal	NOUN
cana-4248	82	11	are	be	AUX
cana-4248	82	12	normalized	normalize	VERB
cana-4248	82	13	.	.	PUNCT
cana-4248	83	1	next	next	ADV
cana-4248	83	2	,	,	PUNCT
cana-4248	83	3	the	the	DET
cana-4248	83	4	continuous	continuous	ADJ
cana-4248	83	5	ecg	ecg	PROPN
cana-4248	83	6	data	datum	NOUN
cana-4248	83	7	is	be	AUX
cana-4248	83	8	segmented	segment	VERB
cana-4248	83	9	into	into	ADP
cana-4248	83	10	smaller	small	ADJ
cana-4248	83	11	windows	window	NOUN
cana-4248	83	12	of	of	ADP
cana-4248	83	13	defined	define	VERB
cana-4248	83	14	length	length	NOUN
cana-4248	83	15	to	to	PART
cana-4248	83	16	facilitate	facilitate	VERB
cana-4248	83	17	comprehension	comprehension	NOUN
cana-4248	83	18	by	by	ADP
cana-4248	83	19	the	the	DET
cana-4248	83	20	models	model	NOUN
cana-4248	83	21	.	.	PUNCT
cana-4248	84	1	filtering	filter	VERB
cana-4248	84	2	techniques	technique	NOUN
cana-4248	84	3	are	be	AUX
cana-4248	84	4	applied	apply	VERB
cana-4248	84	5	to	to	PART
cana-4248	84	6	eliminate	eliminate	VERB
cana-4248	84	7	artifacts	artifact	NOUN
cana-4248	84	8	and	and	CCONJ
cana-4248	84	9	noise	noise	NOUN
cana-4248	84	10	,	,	PUNCT
cana-4248	84	11	improving	improve	VERB
cana-4248	84	12	the	the	DET
cana-4248	84	13	data	datum	NOUN
cana-4248	84	14	quality	quality	NOUN
cana-4248	84	15	necessary	necessary	ADJ
cana-4248	84	16	for	for	ADP
cana-4248	84	17	model	model	NOUN
cana-4248	84	18	training	training	NOUN
cana-4248	84	19	.	.	PUNCT
cana-4248	85	1	to	to	PART
cana-4248	85	2	identify	identify	VERB
cana-4248	85	3	critical	critical	ADJ
cana-4248	85	4	aspects	aspect	NOUN
cana-4248	85	5	of	of	ADP
cana-4248	85	6	the	the	DET
cana-4248	85	7	ecg	ecg	PROPN
cana-4248	85	8	data	data	PROPN
cana-4248	85	9	,	,	PUNCT
cana-4248	85	10	feature	feature	NOUN
cana-4248	85	11	extraction	extraction	NOUN
cana-4248	85	12	is	be	AUX
cana-4248	85	13	conducted	conduct	VERB
cana-4248	85	14	using	use	VERB
cana-4248	85	15	classic	classic	ADJ
cana-4248	85	16	ml	ml	NOUN
cana-4248	85	17	models	model	NOUN
cana-4248	85	18	like	like	ADP
cana-4248	85	19	svm	svm	PROPN
cana-4248	85	20	.	.	PROPN
cana-4248	85	21	time	time	NOUN
cana-4248	85	22	-	-	PUNCT
cana-4248	85	23	domain	domain	NOUN
cana-4248	85	24	parameters	parameter	NOUN
cana-4248	85	25	such	such	ADJ
cana-4248	85	26	as	as	ADP
cana-4248	85	27	average	average	ADJ
cana-4248	85	28	,	,	PUNCT
cana-4248	85	29	standard	standard	ADJ
cana-4248	85	30	deviation	deviation	NOUN
cana-4248	85	31	,	,	PUNCT
cana-4248	85	32	and	and	CCONJ
cana-4248	85	33	extreme	extreme	ADJ
cana-4248	85	34	value	value	NOUN
cana-4248	85	35	are	be	AUX
cana-4248	85	36	retrieved	retrieve	VERB
cana-4248	85	37	.	.	PUNCT
cana-4248	86	1	additionally	additionally	ADV
cana-4248	86	2	,	,	PUNCT
cana-4248	86	3	frequency	frequency	NOUN
cana-4248	86	4	-	-	PUNCT
cana-4248	86	5	domain	domain	NOUN
cana-4248	86	6	features	feature	NOUN
cana-4248	86	7	are	be	AUX
cana-4248	86	8	determined	determine	VERB
cana-4248	86	9	by	by	ADP
cana-4248	86	10	analyzing	analyze	VERB
cana-4248	86	11	the	the	DET
cana-4248	86	12	frequency	frequency	NOUN
cana-4248	86	13	components	component	NOUN
cana-4248	86	14	of	of	ADP
cana-4248	86	15	the	the	DET
cana-4248	86	16	ecg	ecg	PROPN
cana-4248	86	17	signals	signal	NOUN
cana-4248	86	18	using	use	VERB
cana-4248	86	19	methods	method	NOUN
cana-4248	86	20	like	like	ADP
cana-4248	86	21	the	the	DET
cana-4248	86	22	fast	fast	ADJ
cana-4248	86	23	fourier	fourier	NOUN
cana-4248	86	24	transform	transform	NOUN
cana-4248	86	25	(	(	PUNCT
cana-4248	86	26	fft).various	fft).various	ADJ
cana-4248	86	27	deep	deep	ADJ
cana-4248	86	28	learning	learning	NOUN
cana-4248	86	29	techniques	technique	NOUN
cana-4248	86	30	are	be	AUX
cana-4248	86	31	employed	employ	VERB
cana-4248	86	32	for	for	ADP
cana-4248	86	33	arrhythmia	arrhythmia	NOUN
cana-4248	86	34	identification	identification	NOUN
cana-4248	86	35	.	.	PUNCT
cana-4248	87	1	starting	start	VERB
cana-4248	87	2	with	with	ADP
cana-4248	87	3	svm	svm	PROPN
cana-4248	87	4	,	,	PUNCT
cana-4248	87	5	a	a	DET
cana-4248	87	6	popular	popular	ADJ
cana-4248	87	7	machine	machine	NOUN
cana-4248	87	8	learning	learning	NOUN
cana-4248	87	9	method	method	NOUN
cana-4248	87	10	,	,	PUNCT
cana-4248	87	11	the	the	DET
cana-4248	87	12	study	study	NOUN
cana-4248	87	13	explores	explore	VERB
cana-4248	87	14	automated	automate	VERB
cana-4248	87	15	geographical	geographical	ADJ
cana-4248	87	16	information	information	NOUN
cana-4248	87	17	extraction	extraction	NOUN
cana-4248	87	18	using	use	VERB
cana-4248	87	19	convolutional	convolutional	ADJ
cana-4248	87	20	neural	neural	ADJ
cana-4248	87	21	networks	network	NOUN
cana-4248	87	22	(	(	PUNCT
cana-4248	87	23	cnns	cnns	PROPN
cana-4248	87	24	)	)	PUNCT
cana-4248	87	25	.	.	PUNCT
cana-4248	88	1	long	long	ADJ
cana-4248	88	2	short	short	ADJ
cana-4248	88	3	-	-	PUNCT
cana-4248	88	4	term	term	NOUN
cana-4248	88	5	memory	memory	NOUN
cana-4248	88	6	(	(	PUNCT
cana-4248	88	7	lstm	lstm	PROPN
cana-4248	88	8	)	)	PUNCT
cana-4248	88	9	,	,	PUNCT
cana-4248	88	10	a	a	DET
cana-4248	88	11	recurrent	recurrent	ADJ
cana-4248	88	12	neural	neural	ADJ
cana-4248	88	13	network	network	NOUN
cana-4248	88	14	capable	capable	ADJ
cana-4248	88	15	of	of	ADP
cana-4248	88	16	storing	store	VERB
cana-4248	88	17	temporal	temporal	ADJ
cana-4248	88	18	correlations	correlation	NOUN
cana-4248	88	19	in	in	ADP
cana-4248	88	20	ecg	ecg	PROPN
cana-4248	88	21	data	data	PROPN
cana-4248	88	22	,	,	PUNCT
cana-4248	88	23	is	be	AUX
cana-4248	88	24	utilized	utilize	VERB
cana-4248	88	25	.	.	PUNCT
cana-4248	89	1	recurrent	recurrent	ADJ
cana-4248	89	2	neural	neural	ADJ
cana-4248	89	3	networks	network	NOUN
cana-4248	89	4	(	(	PUNCT
cana-4248	89	5	rnns	rnns	PROPN
cana-4248	89	6	)	)	PUNCT
cana-4248	89	7	learn	learn	VERB
cana-4248	89	8	correlations	correlation	NOUN
cana-4248	89	9	spanning	span	VERB
cana-4248	89	10	time	time	NOUN
cana-4248	89	11	with	with	ADP
cana-4248	89	12	sequential	sequential	ADJ
cana-4248	89	13	input	input	NOUN
cana-4248	89	14	.	.	PUNCT
cana-4248	90	1	the	the	DET
cana-4248	90	2	segmented	segment	VERB
cana-4248	90	3	and	and	CCONJ
cana-4248	90	4	processed	process	VERB
cana-4248	90	5	electrocardiogram	electrocardiogram	NOUN
cana-4248	90	6	data	datum	NOUN
cana-4248	90	7	is	be	AUX
cana-4248	90	8	used	use	VERB
cana-4248	90	9	to	to	PART
cana-4248	90	10	train	train	VERB
cana-4248	90	11	the	the	DET
cana-4248	90	12	algorithms	algorithm	NOUN
cana-4248	90	13	.	.	PUNCT
cana-4248	91	1	the	the	DET
cana-4248	91	2	dataset	dataset	NOUN
cana-4248	91	3	is	be	AUX
cana-4248	91	4	split	split	VERB
cana-4248	91	5	into	into	ADP
cana-4248	91	6	training	training	NOUN
cana-4248	91	7	and	and	CCONJ
cana-4248	91	8	validation	validation	NOUN
cana-4248	91	9	sets	set	NOUN
cana-4248	91	10	to	to	PART
cana-4248	91	11	assess	assess	VERB
cana-4248	91	12	model	model	NOUN
cana-4248	91	13	performance	performance	NOUN
cana-4248	91	14	.	.	PUNCT
cana-4248	92	1	hyperparameters	hyperparameter	NOUN
cana-4248	92	2	are	be	AUX
cana-4248	92	3	fine	fine	ADV
cana-4248	92	4	-	-	PUNCT
cana-4248	92	5	tuned	tune	VERB
cana-4248	92	6	using	use	VERB
cana-4248	92	7	methods	method	NOUN
cana-4248	92	8	like	like	ADP
cana-4248	92	9	grid	grid	NOUN
cana-4248	92	10	search	search	NOUN
cana-4248	92	11	and	and	CCONJ
cana-4248	92	12	random	random	ADJ
cana-4248	92	13	sampling	sampling	NOUN
cana-4248	92	14	to	to	PART
cana-4248	92	15	improve	improve	VERB
cana-4248	92	16	model	model	NOUN
cana-4248	92	17	performance	performance	NOUN
cana-4248	92	18	and	and	CCONJ
cana-4248	92	19	reduce	reduce	VERB
cana-4248	92	20	overfitting	overfitte	VERB
cana-4248	92	21	through	through	ADP
cana-4248	92	22	regularization	regularization	NOUN
cana-4248	92	23	techniques	technique	NOUN
cana-4248	92	24	such	such	ADJ
cana-4248	92	25	as	as	ADP
cana-4248	92	26	dropout	dropout	NOUN
cana-4248	92	27	and	and	CCONJ
cana-4248	92	28	l2	l2	NOUN
cana-4248	92	29	regularization	regularization	NOUN
cana-4248	92	30	.	.	PUNCT
cana-4248	93	1	model	model	NOUN
cana-4248	93	2	performance	performance	NOUN
cana-4248	93	3	is	be	AUX
cana-4248	93	4	evaluated	evaluate	VERB
cana-4248	93	5	using	use	VERB
cana-4248	93	6	various	various	ADJ
cana-4248	93	7	metrics	metric	NOUN
cana-4248	93	8	.	.	PUNCT
cana-4248	94	1	accuracy	accuracy	NOUN
cana-4248	94	2	measures	measure	NOUN
cana-4248	94	3	the	the	DET
cana-4248	94	4	model	model	NOUN
cana-4248	94	5	's	's	PART
cana-4248	94	6	ability	ability	NOUN
cana-4248	94	7	to	to	PART
cana-4248	94	8	correctly	correctly	ADV
cana-4248	94	9	categorize	categorize	VERB
cana-4248	94	10	ecg	ecg	PROPN
cana-4248	94	11	signals	signal	NOUN
cana-4248	94	12	,	,	PUNCT
cana-4248	94	13	while	while	SCONJ
cana-4248	94	14	precision	precision	NOUN
cana-4248	94	15	quantifies	quantify	VERB
cana-4248	94	16	the	the	DET
cana-4248	94	17	proportion	proportion	NOUN
cana-4248	94	18	of	of	ADP
cana-4248	94	19	true	true	ADJ
cana-4248	94	20	positive	positive	ADJ
cana-4248	94	21	detections	detection	NOUN
cana-4248	94	22	among	among	ADP
cana-4248	94	23	all	all	DET
cana-4248	94	24	positive	positive	ADJ
cana-4248	94	25	results	result	NOUN
cana-4248	94	26	.	.	PUNCT
cana-4248	95	1	recall	recall	NOUN
cana-4248	95	2	represents	represent	VERB
cana-4248	95	3	the	the	DET
cana-4248	95	4	ratio	ratio	NOUN
cana-4248	95	5	of	of	ADP
cana-4248	95	6	actual	actual	ADJ
cana-4248	95	7	positive	positive	ADJ
cana-4248	95	8	detections	detection	NOUN
cana-4248	95	9	to	to	ADP
cana-4248	95	10	the	the	DET
cana-4248	95	11	total	total	ADJ
cana-4248	95	12	number	number	NOUN
cana-4248	95	13	of	of	ADP
cana-4248	95	14	actual	actual	ADJ
cana-4248	95	15	positive	positive	ADJ
cana-4248	95	16	instances	instance	NOUN
cana-4248	95	17	.	.	PUNCT
cana-4248	96	1	the	the	DET
cana-4248	96	2	f1	f1	NOUN
cana-4248	96	3	-	-	PUNCT
cana-4248	96	4	score	score	NOUN
cana-4248	96	5	,	,	PUNCT
cana-4248	96	6	a	a	DET
cana-4248	96	7	harmonic	harmonic	ADJ
cana-4248	96	8	mean	mean	NOUN
cana-4248	96	9	of	of	ADP
cana-4248	96	10	recall	recall	NOUN
cana-4248	96	11	and	and	CCONJ
cana-4248	96	12	accuracy	accuracy	NOUN
cana-4248	96	13	,	,	PUNCT
cana-4248	96	14	provides	provide	VERB
cana-4248	96	15	a	a	DET
cana-4248	96	16	fair	fair	ADJ
cana-4248	96	17	evaluation	evaluation	NOUN
cana-4248	96	18	of	of	ADP
cana-4248	96	19	model	model	NOUN
cana-4248	96	20	performance	performance	NOUN
cana-4248	96	21	.	.	PUNCT
cana-4248	97	1	in	in	ADP
cana-4248	97	2	the	the	DET
cana-4248	97	3	end	end	NOUN
cana-4248	97	4	,	,	PUNCT
cana-4248	97	5	the	the	DET
cana-4248	97	6	best	good	ADJ
cana-4248	97	7	method	method	NOUN
cana-4248	97	8	for	for	ADP
cana-4248	97	9	diagnosing	diagnosing	NOUN
cana-4248	97	10	arrhythmias	arrhythmia	NOUN
cana-4248	97	11	is	be	AUX
cana-4248	97	12	determined	determine	VERB
cana-4248	97	13	by	by	ADP
cana-4248	97	14	comparing	compare	VERB
cana-4248	97	15	the	the	DET
cana-4248	97	16	results	result	NOUN
cana-4248	97	17	of	of	ADP
cana-4248	97	18	the	the	DET
cana-4248	97	19	various	various	ADJ
cana-4248	97	20	models	model	NOUN
cana-4248	97	21	.	.	PUNCT
cana-4248	98	1	given	give	VERB
cana-4248	98	2	the	the	DET
cana-4248	98	3	initial	initial	ADJ
cana-4248	98	4	premise	premise	NOUN
cana-4248	98	5	that	that	SCONJ
cana-4248	98	6	the	the	DET
cana-4248	98	7	rnn	rnn	NOUN
cana-4248	98	8	model	model	NOUN
cana-4248	98	9	would	would	AUX
cana-4248	98	10	provide	provide	VERB
cana-4248	98	11	the	the	DET
cana-4248	98	12	best	good	ADJ
cana-4248	98	13	results	result	NOUN
cana-4248	98	14	,	,	PUNCT
cana-4248	98	15	its	its	PRON
cana-4248	98	16	performance	performance	NOUN
cana-4248	98	17	is	be	AUX
cana-4248	98	18	closely	closely	ADV
cana-4248	98	19	monitored	monitor	VERB
cana-4248	98	20	.	.	PUNCT
cana-4248	99	1	the	the	DET
cana-4248	99	2	study	study	NOUN
cana-4248	99	3	aims	aim	VERB
cana-4248	99	4	to	to	PART
cana-4248	99	5	demonstrate	demonstrate	VERB
cana-4248	99	6	how	how	SCONJ
cana-4248	99	7	rnns	rnn	NOUN
cana-4248	99	8	and	and	CCONJ
cana-4248	99	9	other	other	ADJ
cana-4248	99	10	deep	deep	ADJ
cana-4248	99	11	learning	learning	NOUN
cana-4248	99	12	approaches	approach	NOUN
cana-4248	99	13	can	can	AUX
cana-4248	99	14	enhance	enhance	VERB
cana-4248	99	15	arrhythmia	arrhythmia	NOUN
cana-4248	99	16	identification	identification	NOUN
cana-4248	99	17	performance	performance	NOUN
cana-4248	99	18	using	use	VERB
cana-4248	99	19	electrocardiogram	electrocardiogram	NOUN
cana-4248	99	20	(	(	PUNCT
cana-4248	99	21	ecg	ecg	PROPN
cana-4248	99	22	)	)	PUNCT
cana-4248	99	23	data	datum	NOUN
cana-4248	99	24	through	through	ADP
cana-4248	99	25	this	this	DET
cana-4248	99	26	methodical	methodical	ADJ
cana-4248	99	27	methodology	methodology	NOUN
cana-4248	99	28	.	.	PUNCT
cana-4248	100	1	system	system	NOUN
cana-4248	100	2	architecture	architecture	NOUN
cana-4248	100	3	diagram	diagram	NOUN
cana-4248	100	4	the	the	DET
cana-4248	100	5	system	system	NOUN
cana-4248	100	6	architecture	architecture	NOUN
cana-4248	100	7	outlines	outline	VERB
cana-4248	100	8	a	a	DET
cana-4248	100	9	comprehensive	comprehensive	ADJ
cana-4248	100	10	process	process	NOUN
cana-4248	100	11	for	for	ADP
cana-4248	100	12	using	use	VERB
cana-4248	100	13	the	the	DET
cana-4248	100	14	mit	mit	VERB
cana-4248	100	15	-	-	PUNCT
cana-4248	100	16	bih	bih	NOUN
cana-4248	100	17	arrhythmia	arrhythmia	NOUN
cana-4248	100	18	dataset	dataset	VERB
cana-4248	100	19	to	to	PART
cana-4248	100	20	predict	predict	VERB
cana-4248	100	21	arrhythmias	arrhythmia	NOUN
cana-4248	100	22	through	through	ADP
cana-4248	100	23	various	various	ADJ
cana-4248	100	24	deep	deep	ADJ
cana-4248	100	25	learning	learning	NOUN
cana-4248	100	26	algorithms	algorithm	NOUN
cana-4248	100	27	.	.	PUNCT
cana-4248	101	1	initially	initially	ADV
cana-4248	101	2	,	,	PUNCT
cana-4248	101	3	the	the	DET
cana-4248	101	4	raw	raw	ADJ
cana-4248	101	5	ecg	ecg	PROPN
cana-4248	101	6	data	data	PROPN
cana-4248	101	7	is	be	AUX
cana-4248	101	8	pre	pre	ADJ
cana-4248	101	9	-	-	VERB
cana-4248	101	10	processed	process	VERB
cana-4248	101	11	to	to	PART
cana-4248	101	12	clean	clean	VERB
cana-4248	101	13	and	and	CCONJ
cana-4248	101	14	normalize	normalize	VERB
cana-4248	101	15	it	it	PRON
cana-4248	101	16	,	,	PUNCT
cana-4248	101	17	which	which	PRON
cana-4248	101	18	may	may	AUX
cana-4248	101	19	involve	involve	VERB
cana-4248	101	20	handling	handle	VERB
cana-4248	101	21	missing	miss	VERB
cana-4248	101	22	values	value	NOUN
cana-4248	101	23	,	,	PUNCT
cana-4248	101	24	reducing	reduce	VERB
cana-4248	101	25	noise	noise	NOUN
cana-4248	101	26	,	,	PUNCT
cana-4248	101	27	and	and	CCONJ
cana-4248	101	28	scaling	scale	VERB
cana-4248	101	29	the	the	DET
cana-4248	101	30	data	datum	NOUN
cana-4248	101	31	.	.	PUNCT
cana-4248	102	1	relevant	relevant	ADJ
cana-4248	102	2	features	feature	NOUN
cana-4248	102	3	are	be	AUX
cana-4248	102	4	then	then	ADV
cana-4248	102	5	extracted	extract	VERB
cana-4248	102	6	using	use	VERB
cana-4248	102	7	signal	signal	NOUN
cana-4248	102	8	processing	processing	NOUN
cana-4248	102	9	techniques	technique	NOUN
cana-4248	102	10	,	,	PUNCT
cana-4248	102	11	communications	communication	NOUN
cana-4248	102	12	on	on	ADP
cana-4248	102	13	applied	apply	VERB
cana-4248	102	14	nonlinear	nonlinear	ADJ
cana-4248	102	15	analysis	analysis	NOUN
cana-4248	102	16	issn	issn	NOUN
cana-4248	102	17	:	:	PUNCT
cana-4248	102	18	1074	1074	NUM
cana-4248	102	19	-	-	PUNCT
cana-4248	102	20	133x	133x	NUM
cana-4248	102	21	vol	vol	NOUN
cana-4248	102	22	32	32	NUM
cana-4248	103	1	no	no	NOUN
cana-4248	103	2	.	.	PUNCT
cana-4248	104	1	9s	9s	NUM
cana-4248	104	2	(	(	PUNCT
cana-4248	104	3	2025	2025	NUM
cana-4248	104	4	)	)	PUNCT
cana-4248	104	5	1592	1592	NUM
cana-4248	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	104	7	statistical	statistical	ADJ
cana-4248	104	8	analysis	analysis	NOUN
cana-4248	104	9	,	,	PUNCT
cana-4248	104	10	or	or	CCONJ
cana-4248	104	11	domain	domain	NOUN
cana-4248	104	12	-	-	PUNCT
cana-4248	104	13	specific	specific	ADJ
cana-4248	104	14	methods	method	NOUN
cana-4248	104	15	to	to	PART
cana-4248	104	16	identify	identify	VERB
cana-4248	104	17	important	important	ADJ
cana-4248	104	18	characteristics	characteristic	NOUN
cana-4248	104	19	of	of	ADP
cana-4248	104	20	the	the	DET
cana-4248	104	21	ecg	ecg	PROPN
cana-4248	104	22	signals	signal	NOUN
cana-4248	104	23	.	.	PUNCT
cana-4248	105	1	the	the	DET
cana-4248	105	2	extracted	extract	VERB
cana-4248	105	3	features	feature	NOUN
cana-4248	105	4	are	be	AUX
cana-4248	105	5	used	use	VERB
cana-4248	105	6	to	to	PART
cana-4248	105	7	train	train	VERB
cana-4248	105	8	different	different	ADJ
cana-4248	105	9	types	type	NOUN
cana-4248	105	10	of	of	ADP
cana-4248	105	11	algorithms	algorithm	NOUN
cana-4248	105	12	like	like	ADP
cana-4248	105	13	convolutional	convolutional	ADJ
cana-4248	105	14	neural	neural	ADJ
cana-4248	105	15	networks	network	NOUN
cana-4248	105	16	(	(	PUNCT
cana-4248	105	17	cnn	cnn	PROPN
cana-4248	105	18	)	)	PUNCT
cana-4248	105	19	,	,	PUNCT
cana-4248	105	20	recurrent	recurrent	ADJ
cana-4248	105	21	neural	neural	ADJ
cana-4248	105	22	networks	network	NOUN
cana-4248	105	23	(	(	PUNCT
cana-4248	105	24	rnn	rnn	PROPN
cana-4248	105	25	)	)	PUNCT
cana-4248	105	26	,	,	PUNCT
cana-4248	105	27	and	and	CCONJ
cana-4248	105	28	a	a	DET
cana-4248	105	29	hybrid	hybrid	ADJ
cana-4248	105	30	model	model	NOUN
cana-4248	105	31	combining	combine	VERB
cana-4248	105	32	cnn	cnn	PROPN
cana-4248	105	33	and	and	CCONJ
cana-4248	105	34	rnn	rnn	PROPN
cana-4248	105	35	(	(	PUNCT
cana-4248	105	36	cnn+rnn	cnn+rnn	PROPN
cana-4248	105	37	)	)	PUNCT
cana-4248	105	38	.	.	PUNCT
cana-4248	106	1	cnns	cnns	PROPN
cana-4248	106	2	are	be	AUX
cana-4248	106	3	effective	effective	ADJ
cana-4248	106	4	for	for	ADP
cana-4248	106	5	capturing	capture	VERB
cana-4248	106	6	spatial	spatial	ADJ
cana-4248	106	7	and	and	CCONJ
cana-4248	106	8	temporal	temporal	ADJ
cana-4248	106	9	dependencies	dependency	NOUN
cana-4248	106	10	,	,	PUNCT
cana-4248	106	11	rnns	rnn	NOUN
cana-4248	106	12	handle	handle	VERB
cana-4248	106	13	sequential	sequential	ADJ
cana-4248	106	14	data	datum	NOUN
cana-4248	106	15	well	well	ADV
cana-4248	106	16	by	by	ADP
cana-4248	106	17	maintaining	maintain	VERB
cana-4248	106	18	context	context	NOUN
cana-4248	106	19	across	across	ADP
cana-4248	106	20	sequences	sequence	NOUN
cana-4248	106	21	,	,	PUNCT
cana-4248	106	22	and	and	CCONJ
cana-4248	106	23	the	the	DET
cana-4248	106	24	hybrid	hybrid	ADJ
cana-4248	106	25	cnn+rnn	cnn+rnn	PROPN
cana-4248	106	26	approach	approach	NOUN
cana-4248	106	27	leverages	leverage	VERB
cana-4248	106	28	the	the	DET
cana-4248	106	29	strengths	strength	NOUN
cana-4248	106	30	of	of	ADP
cana-4248	106	31	both	both	PRON
cana-4248	106	32	.	.	PUNCT
cana-4248	107	1	finally	finally	ADV
cana-4248	107	2	,	,	PUNCT
cana-4248	107	3	the	the	DET
cana-4248	107	4	trained	train	VERB
cana-4248	107	5	models	model	NOUN
cana-4248	107	6	are	be	AUX
cana-4248	107	7	tested	test	VERB
cana-4248	107	8	on	on	ADP
cana-4248	107	9	new	new	ADJ
cana-4248	107	10	,	,	PUNCT
cana-4248	107	11	unseen	unseen	ADJ
cana-4248	107	12	data	datum	NOUN
cana-4248	107	13	to	to	PART
cana-4248	107	14	predict	predict	VERB
cana-4248	107	15	arrhythmias	arrhythmia	NOUN
cana-4248	107	16	,	,	PUNCT
cana-4248	107	17	and	and	CCONJ
cana-4248	107	18	the	the	DET
cana-4248	107	19	prediction	prediction	NOUN
cana-4248	107	20	results	result	NOUN
cana-4248	107	21	are	be	AUX
cana-4248	107	22	compared	compare	VERB
cana-4248	107	23	to	to	PART
cana-4248	107	24	evaluate	evaluate	VERB
cana-4248	107	25	performance	performance	NOUN
cana-4248	107	26	and	and	CCONJ
cana-4248	107	27	determine	determine	VERB
cana-4248	107	28	the	the	DET
cana-4248	107	29	best	good	ADJ
cana-4248	107	30	predictive	predictive	ADJ
cana-4248	107	31	algorithm	algorithm	NOUN
cana-4248	107	32	.	.	PUNCT
cana-4248	108	1	this	this	DET
cana-4248	108	2	process	process	NOUN
cana-4248	108	3	underscores	underscore	VERB
cana-4248	108	4	the	the	DET
cana-4248	108	5	importance	importance	NOUN
cana-4248	108	6	of	of	ADP
cana-4248	108	7	each	each	DET
cana-4248	108	8	step	step	NOUN
cana-4248	108	9	,	,	PUNCT
cana-4248	108	10	from	from	ADP
cana-4248	108	11	data	datum	NOUN
cana-4248	108	12	preparation	preparation	NOUN
cana-4248	108	13	to	to	PART
cana-4248	108	14	model	model	NOUN
cana-4248	108	15	evaluation	evaluation	NOUN
cana-4248	108	16	,	,	PUNCT
cana-4248	108	17	in	in	ADP
cana-4248	108	18	effectively	effectively	ADV
cana-4248	108	19	using	use	VERB
cana-4248	108	20	deep	deep	ADJ
cana-4248	108	21	learning	learning	NOUN
cana-4248	108	22	for	for	ADP
cana-4248	108	23	arrhythmia	arrhythmia	NOUN
cana-4248	108	24	detection	detection	NOUN
cana-4248	108	25	.	.	PUNCT
cana-4248	109	1	figure	figure	NOUN
cana-4248	109	2	2.system	2.system	NUM
cana-4248	109	3	architecture	architecture	NOUN
cana-4248	109	4	attention	attention	NOUN
cana-4248	109	5	model	model	NOUN
cana-4248	109	6	figure	figure	NOUN
cana-4248	109	7	3.attention	3.attention	PROPN
cana-4248	109	8	model	model	NOUN
cana-4248	109	9	communications	communication	NOUN
cana-4248	109	10	on	on	ADP
cana-4248	109	11	applied	apply	VERB
cana-4248	109	12	nonlinear	nonlinear	ADJ
cana-4248	109	13	analysis	analysis	NOUN
cana-4248	109	14	issn	issn	NOUN
cana-4248	109	15	:	:	PUNCT
cana-4248	109	16	1074	1074	NUM
cana-4248	109	17	-	-	PUNCT
cana-4248	109	18	133x	133x	NUM
cana-4248	109	19	vol	vol	NOUN
cana-4248	109	20	32	32	NUM
cana-4248	110	1	no	no	NOUN
cana-4248	110	2	.	.	PUNCT
cana-4248	111	1	9s	9s	NUM
cana-4248	111	2	(	(	PUNCT
cana-4248	111	3	2025	2025	NUM
cana-4248	111	4	)	)	PUNCT
cana-4248	111	5	1593	1593	NUM
cana-4248	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	112	1	to	to	PART
cana-4248	112	2	build	build	VERB
cana-4248	112	3	a	a	DET
cana-4248	112	4	hybrid	hybrid	ADJ
cana-4248	112	5	cnn	cnn	NOUN
cana-4248	112	6	,	,	PUNCT
cana-4248	112	7	lstm	lstm	ADJ
cana-4248	112	8	,	,	PUNCT
cana-4248	112	9	and	and	CCONJ
cana-4248	112	10	rnn	rnn	VERB
cana-4248	112	11	model	model	NOUN
cana-4248	112	12	with	with	ADP
cana-4248	112	13	attention	attention	NOUN
cana-4248	112	14	using	use	VERB
cana-4248	112	15	tensorflow	tensorflow	NOUN
cana-4248	112	16	and	and	CCONJ
cana-4248	112	17	keras	keras	PROPN
cana-4248	112	18	,	,	PUNCT
cana-4248	112	19	we	we	PRON
cana-4248	112	20	start	start	VERB
cana-4248	112	21	by	by	ADP
cana-4248	112	22	defining	define	VERB
cana-4248	112	23	the	the	DET
cana-4248	112	24	input	input	NOUN
cana-4248	112	25	shape	shape	NOUN
cana-4248	112	26	.	.	PUNCT
cana-4248	113	1	the	the	DET
cana-4248	113	2	model	model	NOUN
cana-4248	113	3	includes	include	VERB
cana-4248	113	4	a	a	DET
cana-4248	113	5	conv1d	conv1d	ADJ
cana-4248	113	6	layer	layer	NOUN
cana-4248	113	7	followed	follow	VERB
cana-4248	113	8	by	by	ADP
cana-4248	113	9	maxpooling1d	maxpooling1d	NOUN
cana-4248	113	10	and	and	CCONJ
cana-4248	113	11	flatten	flatten	VERB
cana-4248	113	12	layers	layer	NOUN
cana-4248	113	13	for	for	ADP
cana-4248	113	14	feature	feature	NOUN
cana-4248	113	15	extraction	extraction	NOUN
cana-4248	113	16	.	.	PUNCT
cana-4248	114	1	an	an	DET
cana-4248	114	2	lstm	lstm	NOUN
cana-4248	114	3	layer	layer	NOUN
cana-4248	114	4	processes	process	VERB
cana-4248	114	5	the	the	DET
cana-4248	114	6	input	input	NOUN
cana-4248	114	7	to	to	PART
cana-4248	114	8	capture	capture	VERB
cana-4248	114	9	long	long	ADJ
cana-4248	114	10	-	-	PUNCT
cana-4248	114	11	term	term	NOUN
cana-4248	114	12	dependencies	dependency	NOUN
cana-4248	114	13	,	,	PUNCT
cana-4248	114	14	and	and	CCONJ
cana-4248	114	15	its	its	PRON
cana-4248	114	16	output	output	NOUN
cana-4248	114	17	is	be	AUX
cana-4248	114	18	fed	feed	VERB
cana-4248	114	19	into	into	ADP
cana-4248	114	20	a	a	DET
cana-4248	114	21	simplernn	simplernn	NOUN
cana-4248	114	22	layer	layer	NOUN
cana-4248	114	23	.	.	PUNCT
cana-4248	115	1	an	an	DET
cana-4248	115	2	attention	attention	NOUN
cana-4248	115	3	mechanism	mechanism	NOUN
cana-4248	115	4	is	be	AUX
cana-4248	115	5	applied	apply	VERB
cana-4248	115	6	to	to	ADP
cana-4248	115	7	the	the	DET
cana-4248	115	8	rnn	rnn	NOUN
cana-4248	115	9	outputs	output	NOUN
cana-4248	115	10	,	,	PUNCT
cana-4248	115	11	which	which	PRON
cana-4248	115	12	is	be	AUX
cana-4248	115	13	then	then	ADV
cana-4248	115	14	flattened	flatten	VERB
cana-4248	115	15	and	and	CCONJ
cana-4248	115	16	concatenated	concatenate	VERB
cana-4248	115	17	with	with	ADP
cana-4248	115	18	the	the	DET
cana-4248	115	19	cnn	cnn	PROPN
cana-4248	115	20	output	output	NOUN
cana-4248	115	21	.	.	PUNCT
cana-4248	116	1	finally	finally	ADV
cana-4248	116	2	,	,	PUNCT
cana-4248	116	3	the	the	DET
cana-4248	116	4	combined	combine	VERB
cana-4248	116	5	features	feature	NOUN
cana-4248	116	6	are	be	AUX
cana-4248	116	7	passed	pass	VERB
cana-4248	116	8	through	through	ADP
cana-4248	116	9	a	a	DET
cana-4248	116	10	dense	dense	ADJ
cana-4248	116	11	layer	layer	NOUN
cana-4248	116	12	and	and	CCONJ
cana-4248	116	13	a	a	DET
cana-4248	116	14	sigmoid	sigmoid	NOUN
cana-4248	116	15	-	-	PUNCT
cana-4248	116	16	activated	activate	VERB
cana-4248	116	17	output	output	NOUN
cana-4248	116	18	layer	layer	NOUN
cana-4248	116	19	,	,	PUNCT
cana-4248	116	20	making	make	VERB
cana-4248	116	21	the	the	DET
cana-4248	116	22	model	model	NOUN
cana-4248	116	23	suitable	suitable	ADJ
cana-4248	116	24	for	for	ADP
cana-4248	116	25	binary	binary	ADJ
cana-4248	116	26	classification	classification	NOUN
cana-4248	116	27	tasks	task	NOUN
cana-4248	116	28	.	.	PUNCT
cana-4248	117	1	3.1	3.1	NUM
cana-4248	117	2	training	training	NOUN
cana-4248	117	3	rnn	rnn	NOUN
cana-4248	117	4	model	model	NOUN
cana-4248	117	5	of	of	ADP
cana-4248	117	6	ecg	ecg	PROPN
cana-4248	117	7	ecg	ecg	PROPN
cana-4248	117	8	classification	classification	NOUN
cana-4248	117	9	using	use	VERB
cana-4248	117	10	an	an	DET
cana-4248	117	11	rnn	rnn	NOUN
cana-4248	117	12	model	model	NOUN
cana-4248	117	13	,	,	PUNCT
cana-4248	117	14	the	the	DET
cana-4248	117	15	process	process	NOUN
cana-4248	117	16	starts	start	VERB
cana-4248	117	17	with	with	ADP
cana-4248	117	18	preprocessing	preprocesse	VERB
cana-4248	117	19	the	the	DET
cana-4248	117	20	ecg	ecg	PROPN
cana-4248	117	21	signals	signal	NOUN
cana-4248	117	22	,	,	PUNCT
cana-4248	117	23	segmenting	segment	VERB
cana-4248	117	24	them	they	PRON
cana-4248	117	25	into	into	ADP
cana-4248	117	26	smaller	small	ADJ
cana-4248	117	27	windows	window	NOUN
cana-4248	117	28	,	,	PUNCT
cana-4248	117	29	and	and	CCONJ
cana-4248	117	30	splitting	split	VERB
cana-4248	117	31	the	the	DET
cana-4248	117	32	dataset	dataset	NOUN
cana-4248	117	33	.	.	PUNCT
cana-4248	118	1	then	then	ADV
cana-4248	118	2	,	,	PUNCT
cana-4248	118	3	a	a	DET
cana-4248	118	4	sequential	sequential	ADJ
cana-4248	118	5	model	model	NOUN
cana-4248	118	6	incorporating	incorporate	VERB
cana-4248	118	7	recurrent	recurrent	ADJ
cana-4248	118	8	neural	neural	ADJ
cana-4248	118	9	network	network	NOUN
cana-4248	118	10	(	(	PUNCT
cana-4248	118	11	rnn	rnn	PROPN
cana-4248	118	12	)	)	PUNCT
cana-4248	118	13	layers	layer	NOUN
cana-4248	118	14	is	be	AUX
cana-4248	118	15	defined	define	VERB
cana-4248	118	16	.	.	PUNCT
cana-4248	119	1	these	these	DET
cana-4248	119	2	layers	layer	NOUN
cana-4248	119	3	are	be	AUX
cana-4248	119	4	crucial	crucial	ADJ
cana-4248	119	5	for	for	ADP
cana-4248	119	6	capturing	capture	VERB
cana-4248	119	7	temporal	temporal	ADJ
cana-4248	119	8	dependencies	dependency	NOUN
cana-4248	119	9	within	within	ADP
cana-4248	119	10	the	the	DET
cana-4248	119	11	ecg	ecg	PROPN
cana-4248	119	12	signals	signal	NOUN
cana-4248	119	13	.	.	PUNCT
cana-4248	120	1	following	follow	VERB
cana-4248	120	2	model	model	NOUN
cana-4248	120	3	definition	definition	NOUN
cana-4248	120	4	,	,	PUNCT
cana-4248	120	5	compilation	compilation	NOUN
cana-4248	120	6	involves	involve	VERB
cana-4248	120	7	specifying	specify	VERB
cana-4248	120	8	appropriate	appropriate	ADJ
cana-4248	120	9	loss	loss	NOUN
cana-4248	120	10	and	and	CCONJ
cana-4248	120	11	optimization	optimization	NOUN
cana-4248	120	12	functions	function	NOUN
cana-4248	120	13	.	.	PUNCT
cana-4248	121	1	the	the	DET
cana-4248	121	2	model	model	NOUN
cana-4248	121	3	is	be	AUX
cana-4248	121	4	trained	train	VERB
cana-4248	121	5	on	on	ADP
cana-4248	121	6	the	the	DET
cana-4248	121	7	training	training	NOUN
cana-4248	121	8	data	datum	NOUN
cana-4248	121	9	,	,	PUNCT
cana-4248	121	10	with	with	ADP
cana-4248	121	11	performance	performance	NOUN
cana-4248	121	12	evaluated	evaluate	VERB
cana-4248	121	13	using	use	VERB
cana-4248	121	14	validation	validation	NOUN
cana-4248	121	15	data	datum	NOUN
cana-4248	121	16	.	.	PUNCT
cana-4248	122	1	finally	finally	ADV
cana-4248	122	2	,	,	PUNCT
cana-4248	122	3	the	the	DET
cana-4248	122	4	trained	train	VERB
cana-4248	122	5	rnn	rnn	NOUN
cana-4248	122	6	model	model	NOUN
cana-4248	122	7	is	be	AUX
cana-4248	122	8	tested	test	VERB
cana-4248	122	9	on	on	ADP
cana-4248	122	10	the	the	DET
cana-4248	122	11	test	test	NOUN
cana-4248	122	12	set	set	VERB
cana-4248	122	13	to	to	PART
cana-4248	122	14	gauge	gauge	VERB
cana-4248	122	15	its	its	PRON
cana-4248	122	16	classification	classification	NOUN
cana-4248	122	17	accuracy	accuracy	NOUN
cana-4248	122	18	.	.	PUNCT
cana-4248	123	1	algorithm	algorithm	NOUN
cana-4248	123	2	1	1	NUM
cana-4248	123	3	.rnn	.rnn	NOUN
cana-4248	123	4	model	model	NOUN
cana-4248	123	5	training	train	VERB
cana-4248	123	6	features←	features←	PROPN
cana-4248	123	7	[	[	X
cana-4248	123	8	mitbih	mitbih	NOUN
cana-4248	123	9	]	]	X
cana-4248	123	10	labels	label	VERB
cana-4248	123	11	←	←	PROPN
cana-4248	123	12	[	[	X
cana-4248	123	13	n	n	CCONJ
cana-4248	123	14	,	,	PUNCT
cana-4248	123	15	fpn	fpn	ADJ
cana-4248	123	16	,	,	PUNCT
cana-4248	123	17	pvc	pvc	NOUN
cana-4248	123	18	,	,	PUNCT
cana-4248	123	19	ap	ap	PROPN
cana-4248	123	20	,	,	PUNCT
cana-4248	123	21	fvn	fvn	NOUN
cana-4248	123	22	]	]	PUNCT
cana-4248	123	23	a←	a←	PUNCT
cana-4248	123	24	dataset[features].values	dataset[features].values	PROPN
cana-4248	123	25	b	b	PROPN
cana-4248	123	26	←	←	PROPN
cana-4248	123	27	dataset[labels].values	dataset[labels].values	NUM
cana-4248	123	28	traindata	traindata	NOUN
cana-4248	123	29	,	,	PUNCT
cana-4248	123	30	testdata	testdata	ADJ
cana-4248	123	31	,	,	PUNCT
cana-4248	123	32	validdata	validdata	NOUN
cana-4248	123	33	←	←	PROPN
cana-4248	123	34	test_train_split(a	test_train_split(a	PROPN
cana-4248	123	35	,	,	PUNCT
cana-4248	123	36	b	b	NOUN
cana-4248	123	37	,	,	PUNCT
cana-4248	123	38	0.20	0.20	NUM
cana-4248	123	39	)	)	PUNCT
cana-4248	123	40	batch_size	batch_size	NOUN
cana-4248	123	41	←	←	PROPN
cana-4248	123	42	4	4	NUM
cana-4248	123	43	rnnmodel	rnnmodel	NOUN
cana-4248	123	44	←	←	PROPN
cana-4248	123	45	sequential_model	sequential_model	PROPN
cana-4248	123	46	(	(	PUNCT
cana-4248	123	47	[	[	PUNCT
cana-4248	123	48	embedding_layer(traindata.length	embedding_layer(traindata.length	NOUN
cana-4248	123	49	,	,	PUNCT
cana-4248	123	50	output_res	output_re	NOUN
cana-4248	123	51	,	,	PUNCT
cana-4248	123	52	traindata.columns	traindata.columns	PROPN
cana-4248	123	53	)	)	PUNCT
cana-4248	123	54	,	,	PUNCT
cana-4248	123	55	rnn_layer(output_res	rnn_layer(output_re	NOUN
cana-4248	123	56	)	)	PUNCT
cana-4248	123	57	,	,	PUNCT
cana-4248	123	58	dense_layer(output_res	dense_layer(output_res	PROPN
cana-4248	123	59	,	,	PUNCT
cana-4248	123	60	activation='sigmoid	activation='sigmoid	NOUN
cana-4248	123	61	'	'	PUNCT
cana-4248	123	62	)	)	PUNCT
cana-4248	123	63	]	]	PUNCT
cana-4248	123	64	)	)	PUNCT
cana-4248	124	1	loss←	loss←	NOUN
cana-4248	124	2	'	'	PUNCT
cana-4248	124	3	binary_crossentropy	binary_crossentropy	NOUN
cana-4248	124	4	'	'	PUNCT
cana-4248	124	5	,	,	PUNCT
cana-4248	124	6	optimizer	optimizer	NOUN
cana-4248	124	7	←	←	PROPN
cana-4248	124	8	'	'	PUNCT
cana-4248	124	9	adam	adam	PROPN
cana-4248	124	10	'	'	PUNCT
cana-4248	124	11	,	,	PUNCT
cana-4248	124	12	epochs	epoch	NOUN
cana-4248	124	13	←	←	PROPN
cana-4248	124	14	12	12	NUM
cana-4248	124	15	rnnmodel.compile(loss	rnnmodel.compile(loss	NOUN
cana-4248	124	16	,	,	PUNCT
cana-4248	124	17	optimizer	optimizer	NOUN
cana-4248	124	18	)	)	PUNCT
cana-4248	124	19	3.2	3.2	NUM
cana-4248	124	20	training	training	NOUN
cana-4248	124	21	hybrid	hybrid	ADJ
cana-4248	124	22	model	model	NOUN
cana-4248	124	23	with	with	ADP
cana-4248	124	24	cnn	cnn	PROPN
cana-4248	124	25	and	and	CCONJ
cana-4248	124	26	rnn	rnn	PROPN
cana-4248	124	27	of	of	ADP
cana-4248	124	28	ecg	ecg	PROPN
cana-4248	124	29	the	the	DET
cana-4248	124	30	hybrid	hybrid	NOUN
cana-4248	124	31	model	model	NOUN
cana-4248	124	32	of	of	ADP
cana-4248	124	33	cnn	cnn	PROPN
cana-4248	124	34	and	and	CCONJ
cana-4248	124	35	rnn	rnn	VERB
cana-4248	124	36	for	for	ADP
cana-4248	124	37	ecg	ecg	PROPN
cana-4248	124	38	classification	classification	NOUN
cana-4248	124	39	combines	combine	VERB
cana-4248	124	40	the	the	DET
cana-4248	124	41	spatial	spatial	ADJ
cana-4248	124	42	feature	feature	NOUN
cana-4248	124	43	extraction	extraction	NOUN
cana-4248	124	44	capabilities	capability	NOUN
cana-4248	124	45	of	of	ADP
cana-4248	124	46	cnns	cnn	NOUN
cana-4248	124	47	with	with	ADP
cana-4248	124	48	the	the	DET
cana-4248	124	49	temporal	temporal	ADJ
cana-4248	124	50	sequence	sequence	NOUN
cana-4248	124	51	learning	learn	VERB
cana-4248	124	52	abilities	ability	NOUN
cana-4248	124	53	of	of	ADP
cana-4248	124	54	rnns	rnns	PROPN
cana-4248	124	55	.	.	PUNCT
cana-4248	125	1	ecg	ecg	PROPN
cana-4248	125	2	signals	signal	NOUN
cana-4248	125	3	are	be	AUX
cana-4248	125	4	preprocessed	preprocesse	VERB
cana-4248	125	5	and	and	CCONJ
cana-4248	125	6	segmented	segment	VERB
cana-4248	125	7	,	,	PUNCT
cana-4248	125	8	then	then	ADV
cana-4248	125	9	fed	feed	VERB
cana-4248	125	10	into	into	ADP
cana-4248	125	11	a	a	DET
cana-4248	125	12	sequential	sequential	ADJ
cana-4248	125	13	model	model	NOUN
cana-4248	125	14	integrating	integrate	VERB
cana-4248	125	15	both	both	DET
cana-4248	125	16	cnn	cnn	PROPN
cana-4248	125	17	and	and	CCONJ
cana-4248	125	18	rnn	rnn	VERB
cana-4248	125	19	layers	layer	NOUN
cana-4248	125	20	.	.	PUNCT
cana-4248	126	1	convolutional	convolutional	ADJ
cana-4248	126	2	layers	layer	NOUN
cana-4248	126	3	capture	capture	VERB
cana-4248	126	4	spatial	spatial	ADJ
cana-4248	126	5	patterns	pattern	NOUN
cana-4248	126	6	,	,	PUNCT
cana-4248	126	7	while	while	SCONJ
cana-4248	126	8	recurrent	recurrent	ADJ
cana-4248	126	9	layers	layer	NOUN
cana-4248	126	10	capture	capture	VERB
cana-4248	126	11	temporal	temporal	ADJ
cana-4248	126	12	dependencies	dependency	NOUN
cana-4248	126	13	.	.	PUNCT
cana-4248	127	1	after	after	ADP
cana-4248	127	2	compilation	compilation	NOUN
cana-4248	127	3	with	with	ADP
cana-4248	127	4	suitable	suitable	ADJ
cana-4248	127	5	loss	loss	NOUN
cana-4248	127	6	and	and	CCONJ
cana-4248	127	7	optimization	optimization	NOUN
cana-4248	127	8	functions	function	NOUN
cana-4248	127	9	,	,	PUNCT
cana-4248	127	10	training	training	NOUN
cana-4248	127	11	occurs	occur	VERB
cana-4248	127	12	on	on	ADP
cana-4248	127	13	the	the	DET
cana-4248	127	14	communications	communication	NOUN
cana-4248	127	15	on	on	ADP
cana-4248	127	16	applied	apply	VERB
cana-4248	127	17	nonlinear	nonlinear	ADJ
cana-4248	127	18	analysis	analysis	NOUN
cana-4248	127	19	issn	issn	NOUN
cana-4248	127	20	:	:	PUNCT
cana-4248	127	21	1074	1074	NUM
cana-4248	127	22	-	-	PUNCT
cana-4248	127	23	133x	133x	NUM
cana-4248	127	24	vol	vol	NOUN
cana-4248	127	25	32	32	NUM
cana-4248	127	26	no	no	NOUN
cana-4248	127	27	.	.	PUNCT
cana-4248	128	1	9s	9s	NUM
cana-4248	128	2	(	(	PUNCT
cana-4248	128	3	2025	2025	NUM
cana-4248	128	4	)	)	PUNCT
cana-4248	128	5	1594	1594	NUM
cana-4248	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	128	7	training	training	NOUN
cana-4248	128	8	data	datum	NOUN
cana-4248	128	9	,	,	PUNCT
cana-4248	128	10	with	with	ADP
cana-4248	128	11	evaluation	evaluation	NOUN
cana-4248	128	12	on	on	ADP
cana-4248	128	13	validation	validation	NOUN
cana-4248	128	14	data	datum	NOUN
cana-4248	128	15	.	.	PUNCT
cana-4248	129	1	the	the	DET
cana-4248	129	2	resulting	result	VERB
cana-4248	129	3	model	model	NOUN
cana-4248	129	4	accurately	accurately	ADV
cana-4248	129	5	classifies	classify	VERB
cana-4248	129	6	ecg	ecg	PROPN
cana-4248	129	7	signals	signal	NOUN
cana-4248	129	8	by	by	ADP
cana-4248	129	9	effectively	effectively	ADV
cana-4248	129	10	leveraging	leverage	VERB
cana-4248	129	11	both	both	CCONJ
cana-4248	129	12	spatial	spatial	ADJ
cana-4248	129	13	and	and	CCONJ
cana-4248	129	14	temporal	temporal	ADJ
cana-4248	129	15	information	information	NOUN
cana-4248	129	16	.	.	PUNCT
cana-4248	130	1	algorithm	algorithm	NOUN
cana-4248	130	2	:	:	PUNCT
cana-4248	130	3	hybrid	hybrid	PROPN
cana-4248	130	4	cnn	cnn	PROPN
cana-4248	130	5	-	-	PUNCT
cana-4248	130	6	rnn	rnn	PROPN
cana-4248	130	7	model	model	NOUN
cana-4248	130	8	training	training	NOUN
cana-4248	130	9	for	for	ADP
cana-4248	130	10	arrhythmia	arrhythmia	NOUN
cana-4248	130	11	detection	detection	NOUN
cana-4248	130	12	input	input	NOUN
cana-4248	130	13	:	:	PUNCT
cana-4248	130	14	mit	mit	VERB
cana-4248	130	15	-	-	PUNCT
cana-4248	130	16	bih	bih	NOUN
cana-4248	130	17	arrhythmia	arrhythmia	NOUN
cana-4248	130	18	database	database	NOUN
cana-4248	130	19	output	output	NOUN
cana-4248	130	20	:	:	PUNCT
cana-4248	130	21	arrhythmia	arrhythmia	NOUN
cana-4248	130	22	prediction	prediction	NOUN
cana-4248	130	23	procedure	procedure	NOUN
cana-4248	130	24	:	:	PUNCT
cana-4248	130	25	trainhybridmodel(trainingdata	trainhybridmodel(trainingdata	PROPN
cana-4248	130	26	,	,	PUNCT
cana-4248	130	27	testingdata	testingdata	ADJ
cana-4248	130	28	)	)	PUNCT
cana-4248	130	29	#	#	NOUN
cana-4248	130	30	initialize	initialize	VERB
cana-4248	130	31	the	the	DET
cana-4248	130	32	hybrid	hybrid	ADJ
cana-4248	130	33	model	model	NOUN
cana-4248	130	34	model	model	NOUN
cana-4248	130	35	=	=	SYM
cana-4248	130	36	sequential	sequential	ADJ
cana-4248	130	37	(	(	PUNCT
cana-4248	130	38	)	)	PUNCT
cana-4248	130	39	#	#	SYM
cana-4248	130	40	configure	configure	NOUN
cana-4248	130	41	training	training	NOUN
cana-4248	130	42	parameters	parameter	NOUN
cana-4248	130	43	batchsize	batchsize	VERB
cana-4248	130	44	=	=	SYM
cana-4248	130	45	32	32	NUM
cana-4248	130	46	epochs	epoch	NOUN
cana-4248	130	47	=	=	SYM
cana-4248	130	48	100	100	NUM
cana-4248	130	49	kernelsize	kernelsize	NOUN
cana-4248	130	50	=	=	SYM
cana-4248	130	51	5	5	NUM
cana-4248	130	52	filters	filter	NOUN
cana-4248	130	53	=	=	SYM
cana-4248	130	54	64	64	NUM
cana-4248	130	55	poolsize	poolsize	NOUN
cana-4248	130	56	=	=	SYM
cana-4248	130	57	2	2	NUM
cana-4248	130	58	verbose	verbose	NOUN
cana-4248	130	59	=	=	NOUN
cana-4248	130	60	1	1	NUM
cana-4248	130	61	#	#	NOUN
cana-4248	130	62	add	add	VERB
cana-4248	130	63	a	a	DET
cana-4248	130	64	1d	1d	NUM
cana-4248	130	65	convolutional	convolutional	ADJ
cana-4248	130	66	layer	layer	NOUN
cana-4248	130	67	model.add(conv1d(filters	model.add(conv1d(filter	NOUN
cana-4248	130	68	=	=	NOUN
cana-4248	130	69	filters	filter	NOUN
cana-4248	130	70	,	,	PUNCT
cana-4248	130	71	kernel_size	kernel_size	PROPN
cana-4248	130	72	=	=	SYM
cana-4248	130	73	kernelsize	kernelsize	NOUN
cana-4248	130	74	,	,	PUNCT
cana-4248	130	75	activation='relu	activation='relu	NOUN
cana-4248	130	76	'	'	PUNCT
cana-4248	130	77	,	,	PUNCT
cana-4248	130	78	input_shape=(trainingdata.shape[1	input_shape=(trainingdata.shape[1	X
cana-4248	130	79	]	]	X
cana-4248	130	80	,	,	PUNCT
cana-4248	130	81	1	1	NUM
cana-4248	130	82	)	)	PUNCT
cana-4248	130	83	)	)	PUNCT
cana-4248	130	84	)	)	PUNCT
cana-4248	131	1	#	#	ADV
cana-4248	131	2	add	add	VERB
cana-4248	131	3	a	a	DET
cana-4248	131	4	pooling	pooling	NOUN
cana-4248	131	5	layer	layer	NOUN
cana-4248	131	6	model.add(maxpooling1d(pool_size	model.add(maxpooling1d(pool_size	NOUN
cana-4248	131	7	=	=	SYM
cana-4248	131	8	poolsize	poolsize	NOUN
cana-4248	131	9	)	)	PUNCT
cana-4248	131	10	)	)	PUNCT
cana-4248	131	11	#	#	VERB
cana-4248	131	12	add	add	VERB
cana-4248	131	13	an	an	DET
cana-4248	131	14	lstm	lstm	NOUN
cana-4248	131	15	layer	layer	NOUN
cana-4248	131	16	model.add(lstm(units=100	model.add(lstm(units=100	PROPN
cana-4248	131	17	)	)	PUNCT
cana-4248	131	18	)	)	PUNCT
cana-4248	131	19	#	#	VERB
cana-4248	131	20	add	add	VERB
cana-4248	131	21	a	a	DET
cana-4248	131	22	dense	dense	ADJ
cana-4248	131	23	layer	layer	NOUN
cana-4248	131	24	for	for	ADP
cana-4248	131	25	classification	classification	NOUN
cana-4248	131	26	model.add(dense(units	model.add(dense(unit	NOUN
cana-4248	131	27	=	=	PRON
cana-4248	131	28	num_classes	num_classe	NOUN
cana-4248	131	29	,	,	PUNCT
cana-4248	131	30	activation='softmax	activation='softmax	NOUN
cana-4248	131	31	'	'	PUNCT
cana-4248	131	32	)	)	PUNCT
cana-4248	131	33	)	)	PUNCT
cana-4248	131	34	#	#	SYM
cana-4248	131	35	compile	compile	VERB
cana-4248	131	36	the	the	DET
cana-4248	131	37	model	model	NOUN
cana-4248	131	38	model.compile(loss='categorical_crossentropy	model.compile(loss='categorical_crossentropy	PROPN
cana-4248	131	39	'	'	PROPN
cana-4248	131	40	,	,	PUNCT
cana-4248	131	41	optimizer='adam	optimizer='adam	PROPN
cana-4248	131	42	'	'	PART
cana-4248	131	43	,	,	PUNCT
cana-4248	131	44	metrics=['accuracy	metrics=['accuracy	NOUN
cana-4248	131	45	'	'	PUNCT
cana-4248	131	46	]	]	PUNCT
cana-4248	131	47	)	)	PUNCT
cana-4248	131	48	#	#	NOUN
cana-4248	131	49	train	train	VERB
cana-4248	131	50	the	the	DET
cana-4248	131	51	model	model	NOUN
cana-4248	131	52	for	for	ADP
cana-4248	131	53	epoch	epoch	NOUN
cana-4248	131	54	in	in	ADP
cana-4248	131	55	range(epochs	range(epochs	PROPN
cana-4248	131	56	):	):	PUNCT
cana-4248	131	57	model.fit(trainingdata	model.fit(trainingdata	NUM
cana-4248	131	58	,	,	PUNCT
cana-4248	131	59	epochs=1	epochs=1	NOUN
cana-4248	131	60	,	,	PUNCT
cana-4248	131	61	batch_size	batch_size	VERB
cana-4248	131	62	=	=	SYM
cana-4248	131	63	batchsize	batchsize	NOUN
cana-4248	131	64	,	,	PUNCT
cana-4248	131	65	validation_data=(testingdata	validation_data=(testingdata	NOUN
cana-4248	131	66	)	)	PUNCT
cana-4248	131	67	,	,	PUNCT
cana-4248	131	68	verbose	verbose	VERB
cana-4248	131	69	=	=	SYM
cana-4248	131	70	verbose	verbose	NOUN
cana-4248	131	71	)	)	PUNCT
cana-4248	131	72	#	#	SYM
cana-4248	131	73	evaluate	evaluate	VERB
cana-4248	131	74	the	the	DET
cana-4248	131	75	model	model	NOUN
cana-4248	131	76	communications	communication	NOUN
cana-4248	131	77	on	on	ADP
cana-4248	131	78	applied	apply	VERB
cana-4248	131	79	nonlinear	nonlinear	ADJ
cana-4248	131	80	analysis	analysis	NOUN
cana-4248	131	81	issn	issn	NOUN
cana-4248	131	82	:	:	PUNCT
cana-4248	131	83	1074	1074	NUM
cana-4248	131	84	-	-	PUNCT
cana-4248	131	85	133x	133x	NUM
cana-4248	131	86	vol	vol	NOUN
cana-4248	131	87	32	32	NUM
cana-4248	131	88	no	no	NOUN
cana-4248	131	89	.	.	PUNCT
cana-4248	132	1	9s	9s	NUM
cana-4248	132	2	(	(	PUNCT
cana-4248	132	3	2025	2025	NUM
cana-4248	132	4	)	)	PUNCT
cana-4248	132	5	1595	1595	NUM
cana-4248	132	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	132	7	scores	score	NOUN
cana-4248	132	8	=	=	SYM
cana-4248	132	9	model.evaluate(testingdata	model.evaluate(testingdata	X
cana-4248	132	10	,	,	PUNCT
cana-4248	132	11	verbose	verbose	VERB
cana-4248	132	12	=	=	SYM
cana-4248	132	13	verbose	verbose	NOUN
cana-4248	132	14	)	)	PUNCT
cana-4248	132	15	#	#	SYM
cana-4248	132	16	calculate	calculate	NOUN
cana-4248	132	17	performance	performance	NOUN
cana-4248	132	18	metrics	metric	NOUN
cana-4248	132	19	accuracy	accuracy	NOUN
cana-4248	132	20	=	=	SYM
cana-4248	132	21	scores[1	scores[1	PROPN
cana-4248	132	22	]	]	X
cana-4248	132	23	*	*	PUNCT
cana-4248	132	24	100	100	NUM
cana-4248	132	25	precision	precision	NOUN
cana-4248	132	26	,	,	PUNCT
cana-4248	132	27	recall	recall	NOUN
cana-4248	132	28	,	,	PUNCT
cana-4248	132	29	f1_score	f1_score	ADJ
cana-4248	132	30	,	,	PUNCT
cana-4248	132	31	_	_	PUNCT
cana-4248	132	32	=	=	NOUN
cana-4248	133	1	precision_recall_fscore_support(testingdata	precision_recall_fscore_support(testingdata	NOUN
cana-4248	133	2	,	,	PUNCT
cana-4248	133	3	model.predict(testingdata	model.predict(testingdata	NOUN
cana-4248	133	4	)	)	PUNCT
cana-4248	133	5	,	,	PUNCT
cana-4248	133	6	average='weighted	average='weighte	VERB
cana-4248	133	7	'	'	PUNCT
cana-4248	133	8	)	)	PUNCT
cana-4248	133	9	#	#	SYM
cana-4248	133	10	return	return	VERB
cana-4248	133	11	the	the	DET
cana-4248	133	12	accuracy	accuracy	NOUN
cana-4248	133	13	score	score	NOUN
cana-4248	133	14	return	return	NOUN
cana-4248	133	15	accuracy	accuracy	NOUN
cana-4248	133	16	end	end	NOUN
cana-4248	133	17	procedure	procedure	NOUN
cana-4248	133	18	3.3	3.3	NUM
cana-4248	133	19	model	model	NOUN
cana-4248	133	20	training	training	NOUN
cana-4248	133	21	graph	graph	NOUN
cana-4248	133	22	using	use	VERB
cana-4248	133	23	cnn	cnn	PROPN
cana-4248	133	24	:	:	PUNCT
cana-4248	133	25	during	during	ADP
cana-4248	133	26	the	the	DET
cana-4248	133	27	100	100	NUM
cana-4248	133	28	-	-	PUNCT
cana-4248	133	29	epoch	epoch	NOUN
cana-4248	133	30	training	training	NOUN
cana-4248	133	31	of	of	ADP
cana-4248	133	32	the	the	DET
cana-4248	133	33	cnn	cnn	PROPN
cana-4248	133	34	model	model	NOUN
cana-4248	133	35	,	,	PUNCT
cana-4248	133	36	the	the	DET
cana-4248	133	37	loss	loss	NOUN
cana-4248	133	38	function	function	NOUN
cana-4248	133	39	graph	graph	NOUN
cana-4248	133	40	illustrates	illustrate	VERB
cana-4248	133	41	a	a	DET
cana-4248	133	42	rapid	rapid	ADJ
cana-4248	133	43	decline	decline	NOUN
cana-4248	133	44	in	in	ADP
cana-4248	133	45	both	both	DET
cana-4248	133	46	training	training	NOUN
cana-4248	133	47	and	and	CCONJ
cana-4248	133	48	validation	validation	NOUN
cana-4248	133	49	losses	loss	NOUN
cana-4248	133	50	during	during	ADP
cana-4248	133	51	the	the	DET
cana-4248	133	52	initial	initial	ADJ
cana-4248	133	53	epochs	epoch	NOUN
cana-4248	133	54	,	,	PUNCT
cana-4248	133	55	indicating	indicate	VERB
cana-4248	133	56	efficient	efficient	ADJ
cana-4248	133	57	pattern	pattern	NOUN
cana-4248	133	58	recognition	recognition	NOUN
cana-4248	133	59	.	.	PUNCT
cana-4248	134	1	while	while	SCONJ
cana-4248	134	2	the	the	DET
cana-4248	134	3	validation	validation	NOUN
cana-4248	134	4	loss	loss	NOUN
cana-4248	134	5	stabilizes	stabilize	VERB
cana-4248	134	6	around	around	ADP
cana-4248	134	7	epoch	epoch	NOUN
cana-4248	134	8	20	20	NUM
cana-4248	134	9	,	,	PUNCT
cana-4248	134	10	the	the	DET
cana-4248	134	11	training	training	NOUN
cana-4248	134	12	loss	loss	NOUN
cana-4248	134	13	continues	continue	VERB
cana-4248	134	14	to	to	PART
cana-4248	134	15	decrease	decrease	VERB
cana-4248	134	16	notably	notably	ADV
cana-4248	134	17	,	,	PUNCT
cana-4248	134	18	suggesting	suggest	VERB
cana-4248	134	19	the	the	DET
cana-4248	134	20	model	model	NOUN
cana-4248	134	21	's	's	PART
cana-4248	134	22	adaptation	adaptation	NOUN
cana-4248	134	23	to	to	ADP
cana-4248	134	24	new	new	ADJ
cana-4248	134	25	data	datum	NOUN
cana-4248	134	26	without	without	ADP
cana-4248	134	27	succumbing	succumb	VERB
cana-4248	134	28	to	to	ADP
cana-4248	134	29	overfitting	overfitte	VERB
cana-4248	134	30	.	.	PUNCT
cana-4248	135	1	the	the	DET
cana-4248	135	2	consistent	consistent	ADJ
cana-4248	135	3	divergence	divergence	NOUN
cana-4248	135	4	between	between	ADP
cana-4248	135	5	training	training	NOUN
cana-4248	135	6	and	and	CCONJ
cana-4248	135	7	validation	validation	NOUN
cana-4248	135	8	losses	loss	NOUN
cana-4248	135	9	by	by	ADP
cana-4248	135	10	the	the	DET
cana-4248	135	11	hundredth	hundredth	ADJ
cana-4248	135	12	epoch	epoch	NOUN
cana-4248	135	13	showcases	showcase	VERB
cana-4248	135	14	the	the	DET
cana-4248	135	15	model	model	NOUN
cana-4248	135	16	's	's	PART
cana-4248	135	17	balanced	balanced	ADJ
cana-4248	135	18	performance	performance	NOUN
cana-4248	135	19	.	.	PUNCT
cana-4248	136	1	simultaneously	simultaneously	ADV
cana-4248	136	2	,	,	PUNCT
cana-4248	136	3	the	the	DET
cana-4248	136	4	accuracy	accuracy	NOUN
cana-4248	136	5	and	and	CCONJ
cana-4248	136	6	f1	f1	NOUN
cana-4248	136	7	-	-	PUNCT
cana-4248	136	8	score	score	NOUN
cana-4248	136	9	metrics	metric	NOUN
cana-4248	136	10	for	for	ADP
cana-4248	136	11	both	both	DET
cana-4248	136	12	training	training	NOUN
cana-4248	136	13	and	and	CCONJ
cana-4248	136	14	validation	validation	NOUN
cana-4248	136	15	sets	set	NOUN
cana-4248	136	16	exhibit	exhibit	VERB
cana-4248	136	17	rapid	rapid	ADJ
cana-4248	136	18	initial	initial	ADJ
cana-4248	136	19	improvements	improvement	NOUN
cana-4248	136	20	,	,	PUNCT
cana-4248	136	21	eventually	eventually	ADV
cana-4248	136	22	converging	converge	VERB
cana-4248	136	23	to	to	ADP
cana-4248	136	24	nearly	nearly	ADV
cana-4248	136	25	perfect	perfect	VERB
cana-4248	136	26	scores	score	NOUN
cana-4248	136	27	around	around	ADP
cana-4248	136	28	0.99	0.99	NUM
cana-4248	136	29	.	.	PUNCT
cana-4248	137	1	this	this	PRON
cana-4248	137	2	underscores	underscore	VERB
cana-4248	137	3	the	the	DET
cana-4248	137	4	cnn	cnn	PROPN
cana-4248	137	5	model	model	NOUN
cana-4248	137	6	's	's	PART
cana-4248	137	7	capability	capability	NOUN
cana-4248	137	8	for	for	ADP
cana-4248	137	9	accurate	accurate	ADJ
cana-4248	137	10	classifications	classification	NOUN
cana-4248	137	11	and	and	CCONJ
cana-4248	137	12	robust	robust	ADJ
cana-4248	137	13	generalization	generalization	NOUN
cana-4248	137	14	to	to	ADP
cana-4248	137	15	unseen	unseen	ADJ
cana-4248	137	16	data	datum	NOUN
cana-4248	137	17	.	.	PUNCT
cana-4248	138	1	the	the	DET
cana-4248	138	2	parallel	parallel	ADJ
cana-4248	138	3	trajectories	trajectory	NOUN
cana-4248	138	4	of	of	ADP
cana-4248	138	5	accuracy	accuracy	NOUN
cana-4248	138	6	and	and	CCONJ
cana-4248	138	7	f1	f1	NOUN
cana-4248	138	8	-	-	PUNCT
cana-4248	138	9	score	score	NOUN
cana-4248	138	10	across	across	ADP
cana-4248	138	11	both	both	DET
cana-4248	138	12	datasets	dataset	NOUN
cana-4248	138	13	underscore	underscore	VERB
cana-4248	138	14	the	the	DET
cana-4248	138	15	model	model	NOUN
cana-4248	138	16	's	's	PART
cana-4248	138	17	reliability	reliability	NOUN
cana-4248	138	18	and	and	CCONJ
cana-4248	138	19	precision	precision	NOUN
cana-4248	138	20	in	in	ADP
cana-4248	138	21	ecg	ecg	PROPN
cana-4248	138	22	signal	signal	PROPN
cana-4248	138	23	classification	classification	NOUN
cana-4248	138	24	,	,	PUNCT
cana-4248	138	25	highlighting	highlight	VERB
cana-4248	138	26	its	its	PRON
cana-4248	138	27	potential	potential	NOUN
cana-4248	138	28	for	for	ADP
cana-4248	138	29	accurate	accurate	ADJ
cana-4248	138	30	cardiovascular	cardiovascular	ADJ
cana-4248	138	31	diagnosis	diagnosis	NOUN
cana-4248	138	32	.	.	PUNCT
cana-4248	139	1	additionally	additionally	ADV
cana-4248	139	2	,	,	PUNCT
cana-4248	139	3	the	the	DET
cana-4248	139	4	convergence	convergence	NOUN
cana-4248	139	5	of	of	ADP
cana-4248	139	6	training	training	NOUN
cana-4248	139	7	and	and	CCONJ
cana-4248	139	8	validation	validation	NOUN
cana-4248	139	9	accuracy	accuracy	NOUN
cana-4248	139	10	and	and	CCONJ
cana-4248	139	11	f1	f1	NOUN
cana-4248	139	12	-	-	PUNCT
cana-4248	139	13	score	score	NOUN
cana-4248	139	14	suggests	suggest	VERB
cana-4248	139	15	that	that	SCONJ
cana-4248	139	16	the	the	DET
cana-4248	139	17	cnn	cnn	PROPN
cana-4248	139	18	model	model	NOUN
cana-4248	139	19	effectively	effectively	ADV
cana-4248	139	20	learns	learn	VERB
cana-4248	139	21	and	and	CCONJ
cana-4248	139	22	generalizes	generalize	VERB
cana-4248	139	23	complex	complex	ADJ
cana-4248	139	24	patterns	pattern	NOUN
cana-4248	139	25	inherent	inherent	ADJ
cana-4248	139	26	in	in	ADP
cana-4248	139	27	ecg	ecg	PROPN
cana-4248	139	28	data	data	PROPN
cana-4248	139	29	.	.	PUNCT
cana-4248	140	1	this	this	PRON
cana-4248	140	2	indicates	indicate	VERB
cana-4248	140	3	the	the	DET
cana-4248	140	4	model	model	NOUN
cana-4248	140	5	's	's	PART
cana-4248	140	6	ability	ability	NOUN
cana-4248	140	7	to	to	PART
cana-4248	140	8	discern	discern	VERB
cana-4248	140	9	subtle	subtle	ADJ
cana-4248	140	10	nuances	nuance	NOUN
cana-4248	140	11	and	and	CCONJ
cana-4248	140	12	variations	variation	NOUN
cana-4248	140	13	in	in	ADP
cana-4248	140	14	cardiac	cardiac	ADJ
cana-4248	140	15	signals	signal	NOUN
cana-4248	140	16	,	,	PUNCT
cana-4248	140	17	enabling	enable	VERB
cana-4248	140	18	accurate	accurate	ADJ
cana-4248	140	19	classification	classification	NOUN
cana-4248	140	20	of	of	ADP
cana-4248	140	21	different	different	ADJ
cana-4248	140	22	arrhythmias	arrhythmia	NOUN
cana-4248	140	23	and	and	CCONJ
cana-4248	140	24	cardiovascular	cardiovascular	ADJ
cana-4248	140	25	conditions	condition	NOUN
cana-4248	140	26	.	.	PUNCT
cana-4248	141	1	moreover	moreover	ADV
cana-4248	141	2	,	,	PUNCT
cana-4248	141	3	the	the	DET
cana-4248	141	4	stability	stability	NOUN
cana-4248	141	5	of	of	ADP
cana-4248	141	6	performance	performance	NOUN
cana-4248	141	7	metrics	metric	NOUN
cana-4248	141	8	throughout	throughout	ADP
cana-4248	141	9	training	training	NOUN
cana-4248	141	10	signifies	signify	VERB
cana-4248	141	11	the	the	DET
cana-4248	141	12	model	model	NOUN
cana-4248	141	13	's	's	PART
cana-4248	141	14	resilience	resilience	NOUN
cana-4248	141	15	to	to	ADP
cana-4248	141	16	fluctuations	fluctuation	NOUN
cana-4248	141	17	in	in	ADP
cana-4248	141	18	input	input	NOUN
cana-4248	141	19	data	datum	NOUN
cana-4248	141	20	and	and	CCONJ
cana-4248	141	21	training	training	NOUN
cana-4248	141	22	conditions	condition	NOUN
cana-4248	141	23	,	,	PUNCT
cana-4248	141	24	further	far	ADV
cana-4248	141	25	enhancing	enhance	VERB
cana-4248	141	26	its	its	PRON
cana-4248	141	27	reliability	reliability	NOUN
cana-4248	141	28	in	in	ADP
cana-4248	141	29	real	real	ADJ
cana-4248	141	30	-	-	PUNCT
cana-4248	141	31	world	world	NOUN
cana-4248	141	32	scenarios	scenario	NOUN
cana-4248	141	33	.	.	PUNCT
cana-4248	142	1	furthermore	furthermore	ADV
cana-4248	142	2	,	,	PUNCT
cana-4248	142	3	the	the	DET
cana-4248	142	4	cnn	cnn	PROPN
cana-4248	142	5	model	model	NOUN
cana-4248	142	6	's	's	PART
cana-4248	142	7	high	high	ADJ
cana-4248	142	8	accuracy	accuracy	NOUN
cana-4248	142	9	and	and	CCONJ
cana-4248	142	10	f1	f1	NOUN
cana-4248	142	11	-	-	PUNCT
cana-4248	142	12	score	score	NOUN
cana-4248	142	13	emphasize	emphasize	VERB
cana-4248	142	14	its	its	PRON
cana-4248	142	15	superior	superior	ADJ
cana-4248	142	16	performance	performance	NOUN
cana-4248	142	17	compared	compare	VERB
cana-4248	142	18	to	to	ADP
cana-4248	142	19	traditional	traditional	ADJ
cana-4248	142	20	machine	machine	NOUN
cana-4248	142	21	learning	learning	NOUN
cana-4248	142	22	approaches	approach	NOUN
cana-4248	142	23	.	.	PUNCT
cana-4248	143	1	by	by	ADP
cana-4248	143	2	harnessing	harness	VERB
cana-4248	143	3	spatial	spatial	ADJ
cana-4248	143	4	hierarchies	hierarchy	NOUN
cana-4248	143	5	in	in	ADP
cana-4248	143	6	ecg	ecg	PROPN
cana-4248	143	7	signals	signal	NOUN
cana-4248	143	8	,	,	PUNCT
cana-4248	143	9	the	the	DET
cana-4248	143	10	cnn	cnn	PROPN
cana-4248	143	11	model	model	NOUN
cana-4248	143	12	can	can	AUX
cana-4248	143	13	capture	capture	VERB
cana-4248	143	14	intricate	intricate	ADJ
cana-4248	143	15	patterns	pattern	NOUN
cana-4248	143	16	and	and	CCONJ
cana-4248	143	17	spatial	spatial	ADJ
cana-4248	143	18	relationships	relationship	NOUN
cana-4248	143	19	,	,	PUNCT
cana-4248	143	20	resulting	result	VERB
cana-4248	143	21	in	in	ADP
cana-4248	143	22	more	more	ADV
cana-4248	143	23	precise	precise	ADJ
cana-4248	143	24	and	and	CCONJ
cana-4248	143	25	contextually	contextually	ADV
cana-4248	143	26	informed	inform	VERB
cana-4248	143	27	predictions	prediction	NOUN
cana-4248	143	28	.	.	PUNCT
cana-4248	144	1	this	this	PRON
cana-4248	144	2	not	not	PART
cana-4248	144	3	only	only	ADV
cana-4248	144	4	enhances	enhance	VERB
cana-4248	144	5	diagnostic	diagnostic	ADJ
cana-4248	144	6	accuracy	accuracy	NOUN
cana-4248	144	7	but	but	CCONJ
cana-4248	144	8	also	also	ADV
cana-4248	144	9	improves	improve	VERB
cana-4248	144	10	the	the	DET
cana-4248	144	11	model	model	NOUN
cana-4248	144	12	's	's	PART
cana-4248	144	13	interpretability	interpretability	NOUN
cana-4248	144	14	,	,	PUNCT
cana-4248	144	15	enabling	enable	VERB
cana-4248	144	16	clinicians	clinician	NOUN
cana-4248	144	17	to	to	PART
cana-4248	144	18	better	well	ADV
cana-4248	144	19	comprehend	comprehend	VERB
cana-4248	144	20	and	and	CCONJ
cana-4248	144	21	trust	trust	VERB
cana-4248	144	22	the	the	DET
cana-4248	144	23	model	model	NOUN
cana-4248	144	24	's	's	PART
cana-4248	144	25	outputs	output	NOUN
cana-4248	144	26	in	in	ADP
cana-4248	144	27	clinical	clinical	ADJ
cana-4248	144	28	practice	practice	NOUN
cana-4248	144	29	.	.	PUNCT
cana-4248	145	1	overall	overall	ADV
cana-4248	145	2	,	,	PUNCT
cana-4248	145	3	the	the	DET
cana-4248	145	4	robustness	robustness	NOUN
cana-4248	145	5	,	,	PUNCT
cana-4248	145	6	reliability	reliability	NOUN
cana-4248	145	7	,	,	PUNCT
cana-4248	145	8	and	and	CCONJ
cana-4248	145	9	interpretability	interpretability	NOUN
cana-4248	145	10	of	of	ADP
cana-4248	145	11	the	the	DET
cana-4248	145	12	cnn	cnn	PROPN
cana-4248	145	13	model	model	NOUN
cana-4248	145	14	make	make	VERB
cana-4248	145	15	it	it	PRON
cana-4248	145	16	an	an	DET
cana-4248	145	17	invaluable	invaluable	ADJ
cana-4248	145	18	asset	asset	NOUN
cana-4248	145	19	for	for	ADP
cana-4248	145	20	automated	automate	VERB
cana-4248	145	21	cardiac	cardiac	ADJ
cana-4248	145	22	arrhythmia	arrhythmia	NOUN
cana-4248	145	23	diagnosis	diagnosis	NOUN
cana-4248	145	24	,	,	PUNCT
cana-4248	145	25	with	with	ADP
cana-4248	145	26	the	the	DET
cana-4248	145	27	potential	potential	NOUN
cana-4248	145	28	to	to	PART
cana-4248	145	29	significantly	significantly	ADV
cana-4248	145	30	enhance	enhance	VERB
cana-4248	145	31	patient	patient	ADJ
cana-4248	145	32	care	care	NOUN
cana-4248	145	33	and	and	CCONJ
cana-4248	145	34	outcomes	outcome	NOUN
cana-4248	145	35	in	in	ADP
cana-4248	145	36	cardiovascular	cardiovascular	ADJ
cana-4248	145	37	health	health	NOUN
cana-4248	145	38	.	.	PUNCT
cana-4248	146	1	communications	communication	NOUN
cana-4248	146	2	on	on	ADP
cana-4248	146	3	applied	apply	VERB
cana-4248	146	4	nonlinear	nonlinear	ADJ
cana-4248	146	5	analysis	analysis	NOUN
cana-4248	146	6	issn	issn	NOUN
cana-4248	146	7	:	:	PUNCT
cana-4248	146	8	1074	1074	NUM
cana-4248	146	9	-	-	PUNCT
cana-4248	146	10	133x	133x	NUM
cana-4248	146	11	vol	vol	NOUN
cana-4248	146	12	32	32	NUM
cana-4248	146	13	no	no	NOUN
cana-4248	146	14	.	.	PUNCT
cana-4248	147	1	9s	9s	NUM
cana-4248	147	2	(	(	PUNCT
cana-4248	147	3	2025	2025	NUM
cana-4248	147	4	)	)	PUNCT
cana-4248	147	5	1596	1596	NUM
cana-4248	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	147	7	4	4	NUM
cana-4248	147	8	.results	.result	NOUN
cana-4248	147	9	and	and	CCONJ
cana-4248	147	10	discussion	discussion	NOUN
cana-4248	147	11	4.1	4.1	NUM
cana-4248	147	12	a	a	DET
cana-4248	147	13	cnn	cnn	PROPN
cana-4248	147	14	model	model	NOUN
cana-4248	147	15	for	for	ADP
cana-4248	147	16	ecg	ecg	PROPN
cana-4248	147	17	analysis	analysis	NOUN
cana-4248	147	18	a	a	DET
cana-4248	147	19	cnn	cnn	PROPN
cana-4248	147	20	version	version	NOUN
cana-4248	147	21	for	for	ADP
cana-4248	147	22	ecg	ecg	PROPN
cana-4248	147	23	analysis	analysis	NOUN
cana-4248	147	24	leverages	leverage	VERB
cana-4248	147	25	the	the	DET
cana-4248	147	26	energy	energy	NOUN
cana-4248	147	27	of	of	ADP
cana-4248	147	28	convolutional	convolutional	ADJ
cana-4248	147	29	neural	neural	ADJ
cana-4248	147	30	networks	network	NOUN
cana-4248	147	31	(	(	PUNCT
cana-4248	147	32	cnns	cnns	PROPN
cana-4248	147	33	)	)	PUNCT
cana-4248	147	34	to	to	PART
cana-4248	147	35	robotically	robotically	ADV
cana-4248	147	36	extract	extract	VERB
cana-4248	147	37	relevant	relevant	ADJ
cana-4248	147	38	capabilities	capability	NOUN
cana-4248	147	39	from	from	ADP
cana-4248	147	40	electrocardiogram	electrocardiogram	NOUN
cana-4248	147	41	(	(	PUNCT
cana-4248	147	42	ecg	ecg	PROPN
cana-4248	147	43	)	)	PUNCT
cana-4248	147	44	signals	signal	NOUN
cana-4248	147	45	and	and	CCONJ
cana-4248	147	46	classify	classify	VERB
cana-4248	147	47	them	they	PRON
cana-4248	147	48	into	into	ADP
cana-4248	147	49	distinct	distinct	ADJ
cana-4248	147	50	arrhythmia	arrhythmia	NOUN
cana-4248	147	51	classes	class	NOUN
cana-4248	147	52	.	.	PUNCT
cana-4248	148	1	the	the	DET
cana-4248	148	2	structure	structure	NOUN
cana-4248	148	3	of	of	ADP
cana-4248	148	4	a	a	DET
cana-4248	148	5	cnn	cnn	PROPN
cana-4248	148	6	consists	consist	VERB
cana-4248	148	7	of	of	ADP
cana-4248	148	8	a	a	DET
cana-4248	148	9	couple	couple	NOUN
cana-4248	148	10	of	of	ADP
cana-4248	148	11	layers	layer	NOUN
cana-4248	148	12	,	,	PUNCT
cana-4248	148	13	together	together	ADV
cana-4248	148	14	with	with	ADP
cana-4248	148	15	convolutional	convolutional	ADJ
cana-4248	148	16	layers	layer	NOUN
cana-4248	148	17	,	,	PUNCT
cana-4248	148	18	pooling	pool	VERB
cana-4248	148	19	layers	layer	NOUN
cana-4248	148	20	,	,	PUNCT
cana-4248	148	21	and	and	CCONJ
cana-4248	148	22	fully	fully	ADV
cana-4248	148	23	related	relate	VERB
cana-4248	148	24	layers	layer	NOUN
cana-4248	148	25	,	,	PUNCT
cana-4248	148	26	designed	design	VERB
cana-4248	148	27	to	to	PART
cana-4248	148	28	capture	capture	VERB
cana-4248	148	29	spatial	spatial	ADJ
cana-4248	148	30	hierarchies	hierarchy	NOUN
cana-4248	148	31	in	in	ADP
cana-4248	148	32	sequential	sequential	ADJ
cana-4248	148	33	facts.in	facts.in	PRON
cana-4248	148	34	the	the	DET
cana-4248	148	35	context	context	NOUN
cana-4248	148	36	of	of	ADP
cana-4248	148	37	ecg	ecg	PROPN
cana-4248	148	38	analysis	analysis	NOUN
cana-4248	148	39	,	,	PUNCT
cana-4248	148	40	the	the	DET
cana-4248	148	41	cnn	cnn	PROPN
cana-4248	148	42	version	version	PROPN
cana-4248	148	43	starts	start	NOUN
cana-4248	148	44	offevolved	offevolve	VERB
cana-4248	148	45	by	by	ADP
cana-4248	148	46	way	way	NOUN
cana-4248	148	47	of	of	ADP
cana-4248	148	48	preprocessing	preprocesse	VERB
cana-4248	148	49	the	the	DET
cana-4248	148	50	raw	raw	ADJ
cana-4248	148	51	ecg	ecg	PROPN
cana-4248	148	52	alerts	alert	NOUN
cana-4248	148	53	,	,	PUNCT
cana-4248	148	54	which	which	PRON
cana-4248	148	55	may	may	AUX
cana-4248	148	56	involve	involve	VERB
cana-4248	148	57	segmentation	segmentation	NOUN
cana-4248	148	58	into	into	ADP
cana-4248	148	59	fixed	fix	VERB
cana-4248	148	60	-	-	PUNCT
cana-4248	148	61	length	length	NOUN
cana-4248	148	62	segments	segment	NOUN
cana-4248	148	63	to	to	PART
cana-4248	148	64	make	make	VERB
cana-4248	148	65	sure	sure	ADJ
cana-4248	148	66	uniformity	uniformity	NOUN
cana-4248	148	67	in	in	ADP
cana-4248	148	68	input	input	NOUN
cana-4248	148	69	information	information	NOUN
cana-4248	148	70	.	.	PUNCT
cana-4248	149	1	each	each	DET
cana-4248	149	2	section	section	NOUN
cana-4248	149	3	of	of	ADP
cana-4248	149	4	the	the	DET
cana-4248	149	5	ecg	ecg	PROPN
cana-4248	149	6	signal	signal	NOUN
cana-4248	149	7	is	be	AUX
cana-4248	149	8	then	then	ADV
cana-4248	149	9	treated	treat	VERB
cana-4248	149	10	as	as	ADP
cana-4248	149	11	an	an	DET
cana-4248	149	12	photo	photo	NOUN
cana-4248	149	13	,	,	PUNCT
cana-4248	149	14	where	where	SCONJ
cana-4248	149	15	time	time	NOUN
cana-4248	149	16	represents	represent	VERB
cana-4248	149	17	one	one	NUM
cana-4248	149	18	axis	axis	NOUN
cana-4248	149	19	and	and	CCONJ
cana-4248	149	20	voltage	voltage	NOUN
cana-4248	149	21	represents	represent	VERB
cana-4248	149	22	another	another	PRON
cana-4248	149	23	.	.	PUNCT
cana-4248	150	1	the	the	DET
cana-4248	150	2	convolutional	convolutional	ADJ
cana-4248	150	3	layers	layer	NOUN
cana-4248	150	4	in	in	ADP
cana-4248	150	5	the	the	DET
cana-4248	150	6	cnn	cnn	PROPN
cana-4248	150	7	carry	carry	VERB
cana-4248	150	8	out	out	ADP
cana-4248	150	9	feature	feature	NOUN
cana-4248	150	10	extraction	extraction	NOUN
cana-4248	150	11	by	by	ADP
cana-4248	150	12	using	use	VERB
cana-4248	150	13	making	make	VERB
cana-4248	150	14	use	use	NOUN
cana-4248	150	15	of	of	ADP
cana-4248	150	16	a	a	DET
cana-4248	150	17	set	set	NOUN
cana-4248	150	18	of	of	ADP
cana-4248	150	19	learnable	learnable	ADJ
cana-4248	150	20	filters	filter	NOUN
cana-4248	150	21	throughout	throughout	ADP
cana-4248	150	22	the	the	DET
cana-4248	150	23	input	input	NOUN
cana-4248	150	24	signal	signal	NOUN
cana-4248	150	25	.	.	PUNCT
cana-4248	151	1	these	these	DET
cana-4248	151	2	filters	filter	NOUN
cana-4248	151	3	discover	discover	VERB
cana-4248	151	4	styles	style	NOUN
cana-4248	151	5	at	at	ADP
cana-4248	151	6	exclusive	exclusive	ADJ
cana-4248	151	7	scales	scale	NOUN
cana-4248	151	8	and	and	CCONJ
cana-4248	151	9	hierarchies	hierarchy	NOUN
cana-4248	151	10	,	,	PUNCT
cana-4248	151	11	efficaciously	efficaciously	ADV
cana-4248	151	12	taking	take	VERB
cana-4248	151	13	pictures	picture	NOUN
cana-4248	151	14	spatial	spatial	ADJ
cana-4248	151	15	relationships	relationship	NOUN
cana-4248	151	16	in	in	ADP
cana-4248	151	17	the	the	DET
cana-4248	151	18	ecg	ecg	PROPN
cana-4248	151	19	sign	sign	NOUN
cana-4248	151	20	.	.	PUNCT
cana-4248	152	1	the	the	DET
cana-4248	152	2	activation	activation	NOUN
cana-4248	152	3	of	of	ADP
cana-4248	152	4	neurons	neuron	NOUN
cana-4248	152	5	within	within	ADP
cana-4248	152	6	the	the	DET
cana-4248	152	7	convolutional	convolutional	ADJ
cana-4248	152	8	layers	layer	NOUN
cana-4248	152	9	displays	display	VERB
cana-4248	152	10	the	the	DET
cana-4248	152	11	presence	presence	NOUN
cana-4248	152	12	of	of	ADP
cana-4248	152	13	precise	precise	ADJ
cana-4248	152	14	features	feature	NOUN
cana-4248	152	15	indicative	indicative	ADJ
cana-4248	152	16	of	of	ADP
cana-4248	152	17	various	various	ADJ
cana-4248	152	18	arrhythmias	arrhythmia	NOUN
cana-4248	152	19	.	.	PUNCT
cana-4248	153	1	pooling	pool	VERB
cana-4248	153	2	layers	layer	NOUN
cana-4248	153	3	are	be	AUX
cana-4248	153	4	then	then	ADV
cana-4248	153	5	used	use	VERB
cana-4248	153	6	to	to	PART
cana-4248	153	7	lessen	lessen	VERB
cana-4248	153	8	the	the	DET
cana-4248	153	9	spatial	spatial	ADJ
cana-4248	153	10	dimensions	dimension	NOUN
cana-4248	153	11	of	of	ADP
cana-4248	153	12	the	the	DET
cana-4248	153	13	function	function	NOUN
cana-4248	153	14	maps	map	NOUN
cana-4248	153	15	generated	generate	VERB
cana-4248	153	16	via	via	ADP
cana-4248	153	17	the	the	DET
cana-4248	153	18	convolutional	convolutional	ADJ
cana-4248	153	19	layers	layer	NOUN
cana-4248	153	20	,	,	PUNCT
cana-4248	153	21	thereby	thereby	ADV
cana-4248	153	22	decreasing	decrease	VERB
cana-4248	153	23	computational	computational	ADJ
cana-4248	153	24	complexity	complexity	NOUN
cana-4248	153	25	and	and	CCONJ
cana-4248	153	26	stopping	stop	VERB
cana-4248	153	27	overfitting	overfitting	NOUN
cana-4248	153	28	.	.	PUNCT
cana-4248	154	1	this	this	DET
cana-4248	154	2	downsampling	downsample	VERB
cana-4248	154	3	method	method	NOUN
cana-4248	154	4	retains	retain	VERB
cana-4248	154	5	the	the	DET
cana-4248	154	6	most	most	ADV
cana-4248	154	7	salient	salient	ADJ
cana-4248	154	8	capabilities	capability	NOUN
cana-4248	154	9	at	at	ADP
cana-4248	154	10	the	the	DET
cana-4248	154	11	same	same	ADJ
cana-4248	154	12	time	time	NOUN
cana-4248	154	13	as	as	ADP
cana-4248	154	14	discarding	discard	VERB
cana-4248	154	15	inappropriate	inappropriate	ADJ
cana-4248	154	16	statistics.following	statistics.followe	VERB
cana-4248	154	17	the	the	DET
cana-4248	154	18	convolutional	convolutional	ADJ
cana-4248	154	19	and	and	CCONJ
cana-4248	154	20	pooling	pool	VERB
cana-4248	154	21	layers	layer	NOUN
cana-4248	154	22	,	,	PUNCT
cana-4248	154	23	the	the	DET
cana-4248	154	24	absolutely	absolutely	ADV
cana-4248	154	25	linked	link	VERB
cana-4248	154	26	layers	layer	NOUN
cana-4248	154	27	within	within	ADP
cana-4248	154	28	the	the	DET
cana-4248	154	29	cnn	cnn	PROPN
cana-4248	154	30	combine	combine	VERB
cana-4248	154	31	the	the	DET
cana-4248	154	32	extracted	extract	VERB
cana-4248	154	33	features	feature	NOUN
cana-4248	154	34	and	and	CCONJ
cana-4248	154	35	perform	perform	VERB
cana-4248	154	36	type	type	NOUN
cana-4248	154	37	based	base	VERB
cana-4248	154	38	totally	totally	ADV
cana-4248	154	39	on	on	ADP
cana-4248	154	40	learned	learn	VERB
cana-4248	154	41	representations	representation	NOUN
cana-4248	154	42	.	.	PUNCT
cana-4248	155	1	each	each	DET
cana-4248	155	2	neuron	neuron	NOUN
cana-4248	155	3	inside	inside	ADP
cana-4248	155	4	the	the	DET
cana-4248	155	5	output	output	NOUN
cana-4248	155	6	layer	layer	NOUN
cana-4248	155	7	corresponds	correspond	VERB
cana-4248	155	8	to	to	ADP
cana-4248	155	9	a	a	DET
cana-4248	155	10	particular	particular	ADJ
cana-4248	155	11	arrhythmia	arrhythmia	NOUN
cana-4248	155	12	class	class	NOUN
cana-4248	155	13	,	,	PUNCT
cana-4248	155	14	and	and	CCONJ
cana-4248	155	15	the	the	DET
cana-4248	155	16	model	model	NOUN
cana-4248	155	17	outputs	output	VERB
cana-4248	155	18	the	the	DET
cana-4248	155	19	chance	chance	NOUN
cana-4248	155	20	distribution	distribution	NOUN
cana-4248	155	21	over	over	ADP
cana-4248	155	22	those	those	DET
cana-4248	155	23	categories	category	NOUN
cana-4248	155	24	the	the	DET
cana-4248	155	25	usage	usage	NOUN
cana-4248	155	26	of	of	ADP
cana-4248	155	27	a	a	DET
cana-4248	155	28	softmax	softmax	NOUN
cana-4248	155	29	activation	activation	NOUN
cana-4248	155	30	characteristic.training	characteristic.traine	VERB
cana-4248	155	31	the	the	DET
cana-4248	155	32	cnn	cnn	PROPN
cana-4248	155	33	version	version	NOUN
cana-4248	155	34	involves	involve	VERB
cana-4248	155	35	offering	offer	VERB
cana-4248	155	36	annotated	annotate	VERB
cana-4248	155	37	ecg	ecg	PROPN
cana-4248	155	38	records	record	NOUN
cana-4248	155	39	,	,	PUNCT
cana-4248	155	40	where	where	SCONJ
cana-4248	155	41	every	every	DET
cana-4248	155	42	phase	phase	NOUN
cana-4248	155	43	is	be	AUX
cana-4248	155	44	categorized	categorize	VERB
cana-4248	155	45	with	with	ADP
cana-4248	155	46	its	its	PRON
cana-4248	155	47	corresponding	correspond	VERB
cana-4248	155	48	arrhythmia	arrhythmia	NOUN
cana-4248	155	49	analysis	analysis	NOUN
cana-4248	155	50	.	.	PUNCT
cana-4248	156	1	the	the	DET
cana-4248	156	2	version	version	NOUN
cana-4248	156	3	learns	learn	VERB
cana-4248	156	4	to	to	PART
cana-4248	156	5	generalize	generalize	VERB
cana-4248	156	6	from	from	ADP
cana-4248	156	7	this	this	DET
cana-4248	156	8	schooling	schooling	NOUN
cana-4248	156	9	information	information	NOUN
cana-4248	156	10	,	,	PUNCT
cana-4248	156	11	adjusting	adjust	VERB
cana-4248	156	12	the	the	DET
cana-4248	156	13	weights	weight	NOUN
cana-4248	156	14	of	of	ADP
cana-4248	156	15	its	its	PRON
cana-4248	156	16	parameters	parameter	NOUN
cana-4248	156	17	thru	thru	ADP
cana-4248	156	18	backpropagation	backpropagation	NOUN
cana-4248	156	19	to	to	PART
cana-4248	156	20	limit	limit	VERB
cana-4248	156	21	type	type	NOUN
cana-4248	156	22	errors	error	NOUN
cana-4248	156	23	.	.	PUNCT
cana-4248	157	1	once	once	ADV
cana-4248	157	2	trained	train	VERB
cana-4248	157	3	,	,	PUNCT
cana-4248	157	4	the	the	DET
cana-4248	157	5	cnn	cnn	PROPN
cana-4248	157	6	model	model	NOUN
cana-4248	157	7	can	can	AUX
cana-4248	157	8	be	be	AUX
cana-4248	157	9	deployed	deploy	VERB
cana-4248	157	10	for	for	ADP
cana-4248	157	11	real	real	ADJ
cana-4248	157	12	-	-	PUNCT
cana-4248	157	13	time	time	NOUN
cana-4248	157	14	arrhythmia	arrhythmia	NOUN
cana-4248	157	15	detection	detection	NOUN
cana-4248	157	16	from	from	ADP
cana-4248	157	17	ecg	ecg	PROPN
cana-4248	157	18	signals	signal	NOUN
cana-4248	157	19	,	,	PUNCT
cana-4248	157	20	providing	provide	VERB
cana-4248	157	21	clinicians	clinician	NOUN
cana-4248	157	22	with	with	ADP
cana-4248	157	23	valuable	valuable	ADJ
cana-4248	157	24	insights	insight	NOUN
cana-4248	157	25	into	into	ADP
cana-4248	157	26	patients	patient	NOUN
cana-4248	157	27	'	'	PART
cana-4248	157	28	cardiac	cardiac	ADJ
cana-4248	157	29	health	health	NOUN
cana-4248	157	30	.	.	PUNCT
cana-4248	158	1	by	by	ADP
cana-4248	158	2	automating	automate	VERB
cana-4248	158	3	the	the	DET
cana-4248	158	4	analysis	analysis	NOUN
cana-4248	158	5	process	process	NOUN
cana-4248	158	6	,	,	PUNCT
cana-4248	158	7	cnn	cnn	PROPN
cana-4248	158	8	models	model	NOUN
cana-4248	158	9	streamline	streamline	VERB
cana-4248	158	10	clinical	clinical	ADJ
cana-4248	158	11	workflows	workflow	NOUN
cana-4248	158	12	,	,	PUNCT
cana-4248	158	13	facilitate	facilitate	VERB
cana-4248	158	14	early	early	ADJ
cana-4248	158	15	detection	detection	NOUN
cana-4248	158	16	of	of	ADP
cana-4248	158	17	arrhythmias	arrhythmia	NOUN
cana-4248	158	18	,	,	PUNCT
cana-4248	158	19	and	and	CCONJ
cana-4248	158	20	ultimately	ultimately	ADV
cana-4248	158	21	improve	improve	VERB
cana-4248	158	22	patient	patient	ADJ
cana-4248	158	23	outcomes	outcome	NOUN
cana-4248	158	24	in	in	ADP
cana-4248	158	25	cardiac	cardiac	ADJ
cana-4248	158	26	care	care	NOUN
cana-4248	158	27	.	.	PUNCT
cana-4248	159	1	figure	figure	VERB
cana-4248	159	2	4.cnn	4.cnn	PROPN
cana-4248	159	3	model	model	NOUN
cana-4248	159	4	communications	communication	NOUN
cana-4248	159	5	on	on	ADP
cana-4248	159	6	applied	apply	VERB
cana-4248	159	7	nonlinear	nonlinear	ADJ
cana-4248	159	8	analysis	analysis	NOUN
cana-4248	159	9	issn	issn	NOUN
cana-4248	159	10	:	:	PUNCT
cana-4248	159	11	1074	1074	NUM
cana-4248	159	12	-	-	PUNCT
cana-4248	159	13	133x	133x	NUM
cana-4248	159	14	vol	vol	NOUN
cana-4248	159	15	32	32	NUM
cana-4248	160	1	no	no	NOUN
cana-4248	160	2	.	.	PUNCT
cana-4248	161	1	9s	9s	NUM
cana-4248	161	2	(	(	PUNCT
cana-4248	161	3	2025	2025	NUM
cana-4248	161	4	)	)	PUNCT
cana-4248	161	5	1597	1597	NUM
cana-4248	161	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	161	7	4.2	4.2	NUM
cana-4248	161	8	cnn	cnn	PROPN
cana-4248	161	9	model	model	NOUN
cana-4248	161	10	classification	classification	NOUN
cana-4248	161	11	report	report	NOUN
cana-4248	161	12	the	the	DET
cana-4248	161	13	cnn	cnn	PROPN
cana-4248	161	14	model	model	NOUN
cana-4248	161	15	achieves	achieve	VERB
cana-4248	161	16	exceptional	exceptional	ADJ
cana-4248	161	17	performance	performance	NOUN
cana-4248	161	18	in	in	ADP
cana-4248	161	19	accurately	accurately	ADV
cana-4248	161	20	categorizing	categorize	VERB
cana-4248	161	21	various	various	ADJ
cana-4248	161	22	types	type	NOUN
cana-4248	161	23	of	of	ADP
cana-4248	161	24	arrhythmias	arrhythmia	NOUN
cana-4248	161	25	within	within	ADP
cana-4248	161	26	electrocardiogram	electrocardiogram	NOUN
cana-4248	161	27	(	(	PUNCT
cana-4248	161	28	ecg	ecg	PROPN
cana-4248	161	29	)	)	PUNCT
cana-4248	161	30	signals	signal	NOUN
cana-4248	161	31	,	,	PUNCT
cana-4248	161	32	boasting	boast	VERB
cana-4248	161	33	an	an	DET
cana-4248	161	34	impressive	impressive	ADJ
cana-4248	161	35	accuracy	accuracy	NOUN
cana-4248	161	36	rate	rate	NOUN
cana-4248	161	37	of	of	ADP
cana-4248	161	38	99	99	NUM
cana-4248	161	39	%	%	NOUN
cana-4248	161	40	.	.	PUNCT
cana-4248	162	1	beginning	begin	VERB
cana-4248	162	2	with	with	ADP
cana-4248	162	3	the	the	DET
cana-4248	162	4	classification	classification	NOUN
cana-4248	162	5	of	of	ADP
cana-4248	162	6	"	"	PUNCT
cana-4248	162	7	normal	normal	ADJ
cana-4248	162	8	"	"	PUNCT
cana-4248	162	9	ecg	ecg	PROPN
cana-4248	162	10	signals	signal	NOUN
cana-4248	162	11	,	,	PUNCT
cana-4248	162	12	the	the	DET
cana-4248	162	13	model	model	NOUN
cana-4248	162	14	demonstrates	demonstrate	VERB
cana-4248	162	15	precise	precise	ADJ
cana-4248	162	16	identification	identification	NOUN
cana-4248	162	17	of	of	ADP
cana-4248	162	18	regular	regular	ADJ
cana-4248	162	19	heartbeats	heartbeat	NOUN
cana-4248	162	20	,	,	PUNCT
cana-4248	162	21	essential	essential	ADJ
cana-4248	162	22	for	for	ADP
cana-4248	162	23	distinguishing	distinguish	VERB
cana-4248	162	24	healthy	healthy	ADJ
cana-4248	162	25	cardiac	cardiac	ADJ
cana-4248	162	26	rhythms	rhythm	NOUN
cana-4248	162	27	from	from	ADP
cana-4248	162	28	abnormalities	abnormality	NOUN
cana-4248	162	29	.	.	PUNCT
cana-4248	163	1	furthermore	furthermore	ADV
cana-4248	163	2	,	,	PUNCT
cana-4248	163	3	the	the	DET
cana-4248	163	4	cnn	cnn	PROPN
cana-4248	163	5	model	model	NOUN
cana-4248	163	6	showcases	showcase	VERB
cana-4248	163	7	its	its	PRON
cana-4248	163	8	sensitivity	sensitivity	NOUN
cana-4248	163	9	and	and	CCONJ
cana-4248	163	10	specificity	specificity	NOUN
cana-4248	163	11	in	in	ADP
cana-4248	163	12	classifying	classify	VERB
cana-4248	163	13	"	"	PUNCT
cana-4248	163	14	atrial	atrial	ADJ
cana-4248	163	15	premature	premature	ADJ
cana-4248	163	16	"	"	PUNCT
cana-4248	163	17	beats	beat	NOUN
cana-4248	163	18	,	,	PUNCT
cana-4248	163	19	crucial	crucial	ADJ
cana-4248	163	20	for	for	ADP
cana-4248	163	21	detecting	detect	VERB
cana-4248	163	22	irregular	irregular	ADJ
cana-4248	163	23	contractions	contraction	NOUN
cana-4248	163	24	originating	originate	VERB
cana-4248	163	25	in	in	ADP
cana-4248	163	26	the	the	DET
cana-4248	163	27	atria	atria	NOUN
cana-4248	163	28	and	and	CCONJ
cana-4248	163	29	identifying	identify	VERB
cana-4248	163	30	subtle	subtle	ADJ
cana-4248	163	31	deviations	deviation	NOUN
cana-4248	163	32	from	from	ADP
cana-4248	163	33	normal	normal	ADJ
cana-4248	163	34	heart	heart	NOUN
cana-4248	163	35	rhythms	rhythm	NOUN
cana-4248	163	36	.	.	PUNCT
cana-4248	164	1	the	the	DET
cana-4248	164	2	model	model	NOUN
cana-4248	164	3	's	's	PART
cana-4248	164	4	robust	robust	ADJ
cana-4248	164	5	performance	performance	NOUN
cana-4248	164	6	extends	extend	VERB
cana-4248	164	7	to	to	ADP
cana-4248	164	8	identifying	identify	VERB
cana-4248	164	9	"	"	PUNCT
cana-4248	164	10	premature	premature	ADJ
cana-4248	164	11	ventricular	ventricular	ADJ
cana-4248	164	12	contraction	contraction	NOUN
cana-4248	164	13	"	"	PUNCT
cana-4248	164	14	(	(	PUNCT
cana-4248	164	15	pvc	pvc	ADJ
cana-4248	164	16	)	)	PUNCT
cana-4248	164	17	signals	signal	NOUN
cana-4248	164	18	,	,	PUNCT
cana-4248	164	19	which	which	PRON
cana-4248	164	20	indicate	indicate	VERB
cana-4248	164	21	early	early	ADJ
cana-4248	164	22	contractions	contraction	NOUN
cana-4248	164	23	in	in	ADP
cana-4248	164	24	the	the	DET
cana-4248	164	25	ventricles	ventricle	NOUN
cana-4248	164	26	.	.	PUNCT
cana-4248	165	1	accurate	accurate	ADJ
cana-4248	165	2	detection	detection	NOUN
cana-4248	165	3	of	of	ADP
cana-4248	165	4	pvcs	pvcs	PROPN
cana-4248	165	5	is	be	AUX
cana-4248	165	6	vital	vital	ADJ
cana-4248	165	7	for	for	ADP
cana-4248	165	8	early	early	ADJ
cana-4248	165	9	intervention	intervention	NOUN
cana-4248	165	10	in	in	ADP
cana-4248	165	11	individuals	individual	NOUN
cana-4248	165	12	with	with	ADP
cana-4248	165	13	potential	potential	ADJ
cana-4248	165	14	underlying	underlying	ADJ
cana-4248	165	15	cardiac	cardiac	ADJ
cana-4248	165	16	conditions	condition	NOUN
cana-4248	165	17	.	.	PUNCT
cana-4248	166	1	additionally	additionally	ADV
cana-4248	166	2	,	,	PUNCT
cana-4248	166	3	the	the	DET
cana-4248	166	4	cnn	cnn	PROPN
cana-4248	166	5	model	model	NOUN
cana-4248	166	6	exhibits	exhibit	VERB
cana-4248	166	7	proficiency	proficiency	NOUN
cana-4248	166	8	in	in	ADP
cana-4248	166	9	recognizing	recognize	VERB
cana-4248	166	10	"	"	PUNCT
cana-4248	166	11	fusion	fusion	NOUN
cana-4248	166	12	of	of	ADP
cana-4248	166	13	ventricular	ventricular	ADJ
cana-4248	166	14	and	and	CCONJ
cana-4248	166	15	normal	normal	ADJ
cana-4248	166	16	"	"	PUNCT
cana-4248	166	17	beats	beat	NOUN
cana-4248	166	18	,	,	PUNCT
cana-4248	166	19	where	where	SCONJ
cana-4248	166	20	irregularities	irregularity	NOUN
cana-4248	166	21	stem	stem	VERB
cana-4248	166	22	from	from	ADP
cana-4248	166	23	a	a	DET
cana-4248	166	24	combination	combination	NOUN
cana-4248	166	25	of	of	ADP
cana-4248	166	26	normal	normal	ADJ
cana-4248	166	27	and	and	CCONJ
cana-4248	166	28	abnormal	abnormal	ADJ
cana-4248	166	29	electrical	electrical	ADJ
cana-4248	166	30	activity	activity	NOUN
cana-4248	166	31	in	in	ADP
cana-4248	166	32	the	the	DET
cana-4248	166	33	heart	heart	NOUN
cana-4248	166	34	.	.	PUNCT
cana-4248	167	1	moreover	moreover	ADV
cana-4248	167	2	,	,	PUNCT
cana-4248	167	3	the	the	DET
cana-4248	167	4	cnn	cnn	PROPN
cana-4248	167	5	model	model	NOUN
cana-4248	167	6	demonstrates	demonstrate	VERB
cana-4248	167	7	its	its	PRON
cana-4248	167	8	capability	capability	NOUN
cana-4248	167	9	in	in	ADP
cana-4248	167	10	distinguishing	distinguish	VERB
cana-4248	167	11	"	"	PUNCT
cana-4248	167	12	fusion	fusion	NOUN
cana-4248	167	13	of	of	ADP
cana-4248	167	14	paced	paced	ADJ
cana-4248	167	15	and	and	CCONJ
cana-4248	167	16	normal	normal	ADJ
cana-4248	167	17	"	"	PUNCT
cana-4248	167	18	signals	signal	NOUN
cana-4248	167	19	,	,	PUNCT
cana-4248	167	20	critical	critical	ADJ
cana-4248	167	21	for	for	ADP
cana-4248	167	22	accurate	accurate	ADJ
cana-4248	167	23	diagnosis	diagnosis	NOUN
cana-4248	167	24	and	and	CCONJ
cana-4248	167	25	monitoring	monitoring	NOUN
cana-4248	167	26	of	of	ADP
cana-4248	167	27	patients	patient	NOUN
cana-4248	167	28	with	with	ADP
cana-4248	167	29	pacemakers	pacemaker	NOUN
cana-4248	167	30	.	.	PUNCT
cana-4248	168	1	the	the	DET
cana-4248	168	2	overall	overall	ADJ
cana-4248	168	3	high	high	ADJ
cana-4248	168	4	accuracy	accuracy	NOUN
cana-4248	168	5	,	,	PUNCT
cana-4248	168	6	supported	support	VERB
cana-4248	168	7	by	by	ADP
cana-4248	168	8	macro	macro	NOUN
cana-4248	168	9	-	-	NOUN
cana-4248	168	10	average	average	ADJ
cana-4248	168	11	and	and	CCONJ
cana-4248	168	12	weighted	weight	VERB
cana-4248	168	13	-	-	PUNCT
cana-4248	168	14	average	average	ADJ
cana-4248	168	15	metrics	metric	NOUN
cana-4248	168	16	,	,	PUNCT
cana-4248	168	17	underscores	underscore	VERB
cana-4248	168	18	the	the	DET
cana-4248	168	19	model	model	NOUN
cana-4248	168	20	's	's	PART
cana-4248	168	21	comprehensive	comprehensive	ADJ
cana-4248	168	22	and	and	CCONJ
cana-4248	168	23	reliable	reliable	ADJ
cana-4248	168	24	performance	performance	NOUN
cana-4248	168	25	across	across	ADP
cana-4248	168	26	all	all	DET
cana-4248	168	27	arrhythmia	arrhythmia	NOUN
cana-4248	168	28	categories	category	NOUN
cana-4248	168	29	.	.	PUNCT
cana-4248	169	1	in	in	ADP
cana-4248	169	2	the	the	DET
cana-4248	169	3	clinical	clinical	ADJ
cana-4248	169	4	context	context	NOUN
cana-4248	169	5	of	of	ADP
cana-4248	169	6	ecg	ecg	PROPN
cana-4248	169	7	interpretation	interpretation	NOUN
cana-4248	169	8	,	,	PUNCT
cana-4248	169	9	the	the	DET
cana-4248	169	10	cnn	cnn	PROPN
cana-4248	169	11	model	model	NOUN
cana-4248	169	12	's	's	PART
cana-4248	169	13	exceptional	exceptional	ADJ
cana-4248	169	14	classification	classification	NOUN
cana-4248	169	15	accuracy	accuracy	NOUN
cana-4248	169	16	signifies	signify	VERB
cana-4248	169	17	its	its	PRON
cana-4248	169	18	potential	potential	NOUN
cana-4248	169	19	to	to	PART
cana-4248	169	20	aid	aid	VERB
cana-4248	169	21	healthcare	healthcare	NOUN
cana-4248	169	22	professionals	professional	NOUN
cana-4248	169	23	in	in	ADP
cana-4248	169	24	diagnosing	diagnose	VERB
cana-4248	169	25	cardiac	cardiac	ADJ
cana-4248	169	26	conditions	condition	NOUN
cana-4248	169	27	promptly	promptly	ADV
cana-4248	169	28	and	and	CCONJ
cana-4248	169	29	guiding	guide	VERB
cana-4248	169	30	appropriate	appropriate	ADJ
cana-4248	169	31	interventions	intervention	NOUN
cana-4248	169	32	.	.	PUNCT
cana-4248	170	1	leveraging	leverage	VERB
cana-4248	170	2	advanced	advanced	ADJ
cana-4248	170	3	machine	machine	NOUN
cana-4248	170	4	learning	learn	VERB
cana-4248	170	5	techniques	technique	NOUN
cana-4248	170	6	like	like	ADP
cana-4248	170	7	convolutional	convolutional	ADJ
cana-4248	170	8	neural	neural	ADJ
cana-4248	170	9	networks	network	NOUN
cana-4248	170	10	,	,	PUNCT
cana-4248	170	11	the	the	DET
cana-4248	170	12	model	model	NOUN
cana-4248	170	13	significantly	significantly	ADV
cana-4248	170	14	enhances	enhance	VERB
cana-4248	170	15	the	the	DET
cana-4248	170	16	efficiency	efficiency	NOUN
cana-4248	170	17	and	and	CCONJ
cana-4248	170	18	accuracy	accuracy	NOUN
cana-4248	170	19	of	of	ADP
cana-4248	170	20	arrhythmia	arrhythmia	NOUN
cana-4248	170	21	detection	detection	NOUN
cana-4248	170	22	,	,	PUNCT
cana-4248	170	23	ultimately	ultimately	ADV
cana-4248	170	24	contributing	contribute	VERB
cana-4248	170	25	to	to	ADP
cana-4248	170	26	improved	improve	VERB
cana-4248	170	27	patient	patient	ADJ
cana-4248	170	28	outcomes	outcome	NOUN
cana-4248	170	29	and	and	CCONJ
cana-4248	170	30	advancing	advance	VERB
cana-4248	170	31	cardiac	cardiac	ADJ
cana-4248	170	32	care	care	NOUN
cana-4248	170	33	.	.	PUNCT
cana-4248	171	1	figure.5	figure.5	PROPN
cana-4248	171	2	cnn	cnn	PROPN
cana-4248	171	3	model	model	NOUN
cana-4248	171	4	classification	classification	NOUN
cana-4248	171	5	4.3	4.3	NUM
cana-4248	171	6	rnn	rnn	PROPN
cana-4248	171	7	model	model	NOUN
cana-4248	171	8	classification	classification	NOUN
cana-4248	171	9	report	report	NOUN
cana-4248	171	10	a	a	DET
cana-4248	171	11	comprehensive	comprehensive	ADJ
cana-4248	171	12	evaluation	evaluation	NOUN
cana-4248	171	13	of	of	ADP
cana-4248	171	14	the	the	DET
cana-4248	171	15	recurrent	recurrent	ADJ
cana-4248	171	16	neural	neural	ADJ
cana-4248	171	17	network	network	NOUN
cana-4248	171	18	(	(	PUNCT
cana-4248	171	19	rnn	rnn	PROPN
cana-4248	171	20	)	)	PUNCT
cana-4248	171	21	model	model	NOUN
cana-4248	171	22	's	's	PART
cana-4248	171	23	capability	capability	NOUN
cana-4248	171	24	to	to	PART
cana-4248	171	25	categorize	categorize	VERB
cana-4248	171	26	cardiac	cardiac	ADJ
cana-4248	171	27	events	event	NOUN
cana-4248	171	28	using	use	VERB
cana-4248	171	29	electrocardiogram	electrocardiogram	NOUN
cana-4248	171	30	(	(	PUNCT
cana-4248	171	31	ecg	ecg	PROPN
cana-4248	171	32	)	)	PUNCT
cana-4248	171	33	data	datum	NOUN
cana-4248	171	34	is	be	AUX
cana-4248	171	35	given	give	VERB
cana-4248	171	36	in	in	ADP
cana-4248	171	37	the	the	DET
cana-4248	171	38	model	model	NOUN
cana-4248	171	39	's	's	PART
cana-4248	171	40	classification	classification	NOUN
cana-4248	171	41	report	report	NOUN
cana-4248	171	42	.	.	PUNCT
cana-4248	172	1	to	to	PART
cana-4248	172	2	evaluate	evaluate	VERB
cana-4248	172	3	the	the	DET
cana-4248	172	4	efficacy	efficacy	NOUN
cana-4248	172	5	of	of	ADP
cana-4248	172	6	the	the	DET
cana-4248	172	7	model	model	NOUN
cana-4248	172	8	,	,	PUNCT
cana-4248	172	9	important	important	ADJ
cana-4248	172	10	measures	measure	NOUN
cana-4248	172	11	including	include	VERB
cana-4248	172	12	recall	recall	NOUN
cana-4248	172	13	,	,	PUNCT
cana-4248	172	14	precision	precision	NOUN
cana-4248	172	15	,	,	PUNCT
cana-4248	172	16	and	and	CCONJ
cana-4248	172	17	f1communications	f1communication	NOUN
cana-4248	172	18	on	on	ADP
cana-4248	172	19	applied	apply	VERB
cana-4248	172	20	nonlinear	nonlinear	ADJ
cana-4248	172	21	analysis	analysis	NOUN
cana-4248	172	22	issn	issn	NOUN
cana-4248	172	23	:	:	PUNCT
cana-4248	172	24	1074	1074	NUM
cana-4248	172	25	-	-	PUNCT
cana-4248	172	26	133x	133x	NUM
cana-4248	172	27	vol	vol	NOUN
cana-4248	172	28	32	32	NUM
cana-4248	172	29	no	no	NOUN
cana-4248	172	30	.	.	PUNCT
cana-4248	173	1	9s	9s	NUM
cana-4248	173	2	(	(	PUNCT
cana-4248	173	3	2025	2025	NUM
cana-4248	173	4	)	)	PUNCT
cana-4248	173	5	1598	1598	NUM
cana-4248	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	173	7	score	score	NOUN
cana-4248	173	8	are	be	AUX
cana-4248	173	9	used	use	VERB
cana-4248	173	10	.	.	PUNCT
cana-4248	174	1	a	a	DET
cana-4248	174	2	high	high	ADJ
cana-4248	174	3	precision	precision	NOUN
cana-4248	174	4	of	of	ADP
cana-4248	174	5	0.99	0.99	NUM
cana-4248	174	6	indicates	indicate	VERB
cana-4248	174	7	few	few	ADJ
cana-4248	174	8	false	false	ADJ
cana-4248	174	9	positive	positive	ADJ
cana-4248	174	10	mistakes	mistake	NOUN
cana-4248	174	11	,	,	PUNCT
cana-4248	174	12	as	as	SCONJ
cana-4248	174	13	it	it	PRON
cana-4248	174	14	represents	represent	VERB
cana-4248	174	15	the	the	DET
cana-4248	174	16	ratio	ratio	NOUN
cana-4248	174	17	of	of	ADP
cana-4248	174	18	genuine	genuine	ADJ
cana-4248	174	19	positive	positive	ADJ
cana-4248	174	20	predictions	prediction	NOUN
cana-4248	174	21	to	to	ADP
cana-4248	174	22	all	all	DET
cana-4248	174	23	positive	positive	ADJ
cana-4248	174	24	predictions	prediction	NOUN
cana-4248	174	25	.	.	PUNCT
cana-4248	175	1	the	the	DET
cana-4248	175	2	recall	recall	NOUN
cana-4248	175	3	score	score	NOUN
cana-4248	175	4	,	,	PUNCT
cana-4248	175	5	which	which	PRON
cana-4248	175	6	measures	measure	VERB
cana-4248	175	7	the	the	DET
cana-4248	175	8	percentage	percentage	NOUN
cana-4248	175	9	of	of	ADP
cana-4248	175	10	correct	correct	ADJ
cana-4248	175	11	predictions	prediction	NOUN
cana-4248	175	12	relative	relative	ADJ
cana-4248	175	13	to	to	ADP
cana-4248	175	14	the	the	DET
cana-4248	175	15	total	total	ADJ
cana-4248	175	16	number	number	NOUN
cana-4248	175	17	of	of	ADP
cana-4248	175	18	positive	positive	ADJ
cana-4248	175	19	occurrences	occurrence	NOUN
cana-4248	175	20	,	,	PUNCT
cana-4248	175	21	is	be	AUX
cana-4248	175	22	similarly	similarly	ADV
cana-4248	175	23	0.99	0.99	NUM
cana-4248	175	24	,	,	PUNCT
cana-4248	175	25	indicating	indicate	VERB
cana-4248	175	26	that	that	SCONJ
cana-4248	175	27	the	the	DET
cana-4248	175	28	model	model	NOUN
cana-4248	175	29	successfully	successfully	ADV
cana-4248	175	30	catches	catch	VERB
cana-4248	175	31	the	the	DET
cana-4248	175	32	majority	majority	NOUN
cana-4248	175	33	of	of	ADP
cana-4248	175	34	positive	positive	ADJ
cana-4248	175	35	examples	example	NOUN
cana-4248	175	36	.	.	PUNCT
cana-4248	176	1	the	the	DET
cana-4248	176	2	model	model	NOUN
cana-4248	176	3	's	's	PART
cana-4248	176	4	ability	ability	NOUN
cana-4248	176	5	to	to	PART
cana-4248	176	6	maintain	maintain	VERB
cana-4248	176	7	a	a	DET
cana-4248	176	8	balanced	balanced	ADJ
cana-4248	176	9	ratio	ratio	NOUN
cana-4248	176	10	of	of	ADP
cana-4248	176	11	false	false	ADJ
cana-4248	176	12	positives	positive	NOUN
cana-4248	176	13	to	to	ADP
cana-4248	176	14	false	false	ADJ
cana-4248	176	15	negatives	negative	NOUN
cana-4248	176	16	is	be	AUX
cana-4248	176	17	shown	show	VERB
cana-4248	176	18	by	by	ADP
cana-4248	176	19	the	the	DET
cana-4248	176	20	remarkable	remarkable	ADJ
cana-4248	176	21	f1	f1	NOUN
cana-4248	176	22	-	-	PUNCT
cana-4248	176	23	score	score	NOUN
cana-4248	176	24	of	of	ADP
cana-4248	176	25	0.99	0.99	NUM
cana-4248	176	26	,	,	PUNCT
cana-4248	176	27	which	which	PRON
cana-4248	176	28	is	be	AUX
cana-4248	176	29	a	a	DET
cana-4248	176	30	measure	measure	NOUN
cana-4248	176	31	of	of	ADP
cana-4248	176	32	both	both	DET
cana-4248	176	33	recall	recall	NOUN
cana-4248	176	34	and	and	CCONJ
cana-4248	176	35	accuracy	accuracy	NOUN
cana-4248	176	36	.	.	PUNCT
cana-4248	177	1	moreover	moreover	ADV
cana-4248	177	2	,	,	PUNCT
cana-4248	177	3	with	with	ADP
cana-4248	177	4	an	an	DET
cana-4248	177	5	accuracy	accuracy	NOUN
cana-4248	177	6	of	of	ADP
cana-4248	177	7	0.99	0.99	NUM
cana-4248	177	8	,	,	PUNCT
cana-4248	177	9	the	the	DET
cana-4248	177	10	rnn	rnn	NOUN
cana-4248	177	11	model	model	NOUN
cana-4248	177	12	demonstrates	demonstrate	VERB
cana-4248	177	13	exceptional	exceptional	ADJ
cana-4248	177	14	performance	performance	NOUN
cana-4248	177	15	across	across	ADP
cana-4248	177	16	all	all	DET
cana-4248	177	17	classes	class	NOUN
cana-4248	177	18	,	,	PUNCT
cana-4248	177	19	showcasing	showcase	VERB
cana-4248	177	20	its	its	PRON
cana-4248	177	21	reliability	reliability	NOUN
cana-4248	177	22	in	in	ADP
cana-4248	177	23	accurately	accurately	ADV
cana-4248	177	24	detecting	detect	VERB
cana-4248	177	25	various	various	ADJ
cana-4248	177	26	arrhythmias	arrhythmia	NOUN
cana-4248	177	27	from	from	ADP
cana-4248	177	28	ecg	ecg	PROPN
cana-4248	177	29	signals	signal	NOUN
cana-4248	177	30	.	.	PUNCT
cana-4248	178	1	its	its	PRON
cana-4248	178	2	consistent	consistent	ADJ
cana-4248	178	3	performance	performance	NOUN
cana-4248	178	4	highlights	highlight	NOUN
cana-4248	178	5	the	the	DET
cana-4248	178	6	model	model	NOUN
cana-4248	178	7	's	's	PART
cana-4248	178	8	robustness	robustness	NOUN
cana-4248	178	9	and	and	CCONJ
cana-4248	178	10	capability	capability	NOUN
cana-4248	178	11	to	to	PART
cana-4248	178	12	generalize	generalize	VERB
cana-4248	178	13	well	well	ADV
cana-4248	178	14	across	across	ADP
cana-4248	178	15	different	different	ADJ
cana-4248	178	16	cardiac	cardiac	ADJ
cana-4248	178	17	conditions	condition	NOUN
cana-4248	178	18	.	.	PUNCT
cana-4248	179	1	figure.6	figure.6	NOUN
cana-4248	179	2	rnn	rnn	VERB
cana-4248	179	3	model	model	NOUN
cana-4248	179	4	classification	classification	NOUN
cana-4248	179	5	4.4	4.4	NUM
cana-4248	179	6	hybrid	hybrid	NOUN
cana-4248	179	7	model	model	NOUN
cana-4248	179	8	of	of	ADP
cana-4248	179	9	cnn	cnn	PROPN
cana-4248	179	10	and	and	CCONJ
cana-4248	179	11	rnn	rnn	VERB
cana-4248	179	12	i).explanation	i).explanation	PROPN
cana-4248	179	13	of	of	ADP
cana-4248	179	14	the	the	DET
cana-4248	179	15	hybrid	hybrid	ADJ
cana-4248	179	16	cnn	cnn	PROPN
cana-4248	179	17	-	-	PUNCT
cana-4248	179	18	rnn	rnn	VERB
cana-4248	179	19	classification	classification	NOUN
cana-4248	179	20	process	process	NOUN
cana-4248	179	21	:	:	PUNCT
cana-4248	179	22	the	the	DET
cana-4248	179	23	hybrid	hybrid	ADJ
cana-4248	179	24	cnn	cnn	PROPN
cana-4248	179	25	-	-	PUNCT
cana-4248	179	26	rnn	rnn	PROPN
cana-4248	179	27	version	version	NOUN
cana-4248	179	28	correctly	correctly	ADV
cana-4248	179	29	combines	combine	VERB
cana-4248	179	30	the	the	DET
cana-4248	179	31	strengths	strength	NOUN
cana-4248	179	32	of	of	ADP
cana-4248	179	33	convolutional	convolutional	ADJ
cana-4248	179	34	neural	neural	ADJ
cana-4248	179	35	networks	network	NOUN
cana-4248	179	36	(	(	PUNCT
cana-4248	179	37	cnns	cnns	PROPN
cana-4248	179	38	)	)	PUNCT
cana-4248	179	39	and	and	CCONJ
cana-4248	179	40	recurrent	recurrent	ADJ
cana-4248	179	41	neural	neural	ADJ
cana-4248	179	42	networks	network	NOUN
cana-4248	179	43	(	(	PUNCT
cana-4248	179	44	rnns	rnns	PROPN
cana-4248	179	45	)	)	PUNCT
cana-4248	179	46	to	to	PART
cana-4248	179	47	classify	classify	VERB
cana-4248	179	48	cardiac	cardiac	ADJ
cana-4248	179	49	occasions	occasion	NOUN
cana-4248	179	50	with	with	ADP
cana-4248	179	51	high	high	ADJ
cana-4248	179	52	accuracy	accuracy	NOUN
cana-4248	179	53	.	.	PUNCT
cana-4248	180	1	initially	initially	ADV
cana-4248	180	2	,	,	PUNCT
cana-4248	180	3	cnns	cnn	NOUN
cana-4248	180	4	are	be	AUX
cana-4248	180	5	employed	employ	VERB
cana-4248	180	6	for	for	ADP
cana-4248	180	7	function	function	NOUN
cana-4248	180	8	extraction	extraction	NOUN
cana-4248	180	9	from	from	ADP
cana-4248	180	10	the	the	DET
cana-4248	180	11	enter	enter	ADJ
cana-4248	180	12	ecg	ecg	PROPN
cana-4248	180	13	signal	signal	NOUN
cana-4248	180	14	records	record	NOUN
cana-4248	180	15	.	.	PUNCT
cana-4248	181	1	these	these	DET
cana-4248	181	2	networks	network	NOUN
cana-4248	181	3	follow	follow	VERB
cana-4248	181	4	convolutional	convolutional	ADJ
cana-4248	181	5	filters	filter	NOUN
cana-4248	181	6	to	to	PART
cana-4248	181	7	seize	seize	VERB
cana-4248	181	8	spatial	spatial	ADJ
cana-4248	181	9	styles	style	NOUN
cana-4248	181	10	and	and	CCONJ
cana-4248	181	11	variations	variation	NOUN
cana-4248	181	12	in	in	ADP
cana-4248	181	13	the	the	DET
cana-4248	181	14	ecg	ecg	PROPN
cana-4248	181	15	waveforms	waveform	NOUN
cana-4248	181	16	.	.	PUNCT
cana-4248	182	1	pooling	pool	VERB
cana-4248	182	2	layers	layer	NOUN
cana-4248	182	3	then	then	ADV
cana-4248	182	4	lessen	lessen	VERB
cana-4248	182	5	the	the	DET
cana-4248	182	6	dimensionality	dimensionality	NOUN
cana-4248	182	7	of	of	ADP
cana-4248	182	8	these	these	DET
cana-4248	182	9	characteristic	characteristic	ADJ
cana-4248	182	10	maps	map	NOUN
cana-4248	182	11	at	at	ADP
cana-4248	182	12	the	the	DET
cana-4248	182	13	same	same	ADJ
cana-4248	182	14	time	time	NOUN
cana-4248	182	15	as	as	ADP
cana-4248	182	16	maintaining	maintain	VERB
cana-4248	182	17	critical	critical	ADJ
cana-4248	182	18	data	datum	NOUN
cana-4248	182	19	,	,	PUNCT
cana-4248	182	20	making	make	VERB
cana-4248	182	21	the	the	DET
cana-4248	182	22	records	record	NOUN
cana-4248	182	23	more	more	ADV
cana-4248	182	24	doable	doable	ADJ
cana-4248	182	25	.	.	PUNCT
cana-4248	183	1	activation	activation	NOUN
cana-4248	183	2	capabilities	capability	NOUN
cana-4248	183	3	,	,	PUNCT
cana-4248	183	4	like	like	ADP
cana-4248	183	5	relu	relu	NOUN
cana-4248	183	6	,	,	PUNCT
cana-4248	183	7	introduce	introduce	VERB
cana-4248	183	8	non	non	ADJ
cana-4248	183	9	-	-	ADJ
cana-4248	183	10	linearity	linearity	ADJ
cana-4248	183	11	,	,	PUNCT
cana-4248	183	12	permitting	permit	VERB
cana-4248	183	13	the	the	DET
cana-4248	183	14	version	version	NOUN
cana-4248	183	15	to	to	PART
cana-4248	183	16	learn	learn	VERB
cana-4248	183	17	complicated	complicated	ADJ
cana-4248	183	18	styles	style	NOUN
cana-4248	183	19	.	.	PUNCT
cana-4248	184	1	after	after	SCONJ
cana-4248	184	2	the	the	DET
cana-4248	184	3	cnn	cnn	PROPN
cana-4248	184	4	extracts	extract	VERB
cana-4248	184	5	the	the	DET
cana-4248	184	6	excessive	excessive	ADJ
cana-4248	184	7	-	-	PUNCT
cana-4248	184	8	level	level	NOUN
cana-4248	184	9	capabilities	capability	NOUN
cana-4248	184	10	,	,	PUNCT
cana-4248	184	11	these	these	DET
cana-4248	184	12	characteristic	characteristic	ADJ
cana-4248	184	13	maps	map	NOUN
cana-4248	184	14	are	be	AUX
cana-4248	184	15	handed	hand	VERB
cana-4248	184	16	to	to	ADP
cana-4248	184	17	the	the	DET
cana-4248	184	18	rnn	rnn	NOUN
cana-4248	184	19	.	.	PUNCT
cana-4248	185	1	rnns	rnns	PROPN
cana-4248	185	2	,	,	PUNCT
cana-4248	185	3	inclusive	inclusive	ADJ
cana-4248	185	4	of	of	ADP
cana-4248	185	5	kinds	kind	NOUN
cana-4248	185	6	like	like	ADP
cana-4248	185	7	long	long	ADJ
cana-4248	185	8	short	short	ADJ
cana-4248	185	9	-	-	PUNCT
cana-4248	185	10	term	term	NOUN
cana-4248	185	11	memory	memory	NOUN
cana-4248	185	12	(	(	PUNCT
cana-4248	185	13	lstm	lstm	NOUN
cana-4248	185	14	)	)	PUNCT
cana-4248	185	15	or	or	CCONJ
cana-4248	185	16	gated	gate	VERB
cana-4248	185	17	recurrent	recurrent	ADJ
cana-4248	185	18	units	unit	NOUN
cana-4248	185	19	(	(	PUNCT
cana-4248	185	20	grus	grus	NOUN
cana-4248	185	21	)	)	PUNCT
cana-4248	185	22	,	,	PUNCT
cana-4248	185	23	excel	excel	VERB
cana-4248	185	24	at	at	ADP
cana-4248	185	25	handling	handle	VERB
cana-4248	185	26	sequential	sequential	ADJ
cana-4248	185	27	statistics	statistic	NOUN
cana-4248	185	28	by	by	ADP
cana-4248	185	29	using	use	VERB
cana-4248	185	30	shooting	shoot	VERB
cana-4248	185	31	temporal	temporal	ADJ
cana-4248	185	32	dependencies	dependency	NOUN
cana-4248	185	33	.	.	PUNCT
cana-4248	186	1	they	they	PRON
cana-4248	186	2	preserve	preserve	VERB
cana-4248	186	3	a	a	DET
cana-4248	186	4	memory	memory	NOUN
cana-4248	186	5	of	of	ADP
cana-4248	186	6	previous	previous	ADJ
cana-4248	186	7	inputs	input	NOUN
cana-4248	186	8	,	,	PUNCT
cana-4248	186	9	which	which	PRON
cana-4248	186	10	enables	enable	VERB
cana-4248	186	11	in	in	ADP
cana-4248	186	12	expertise	expertise	NOUN
cana-4248	186	13	the	the	DET
cana-4248	186	14	sequence	sequence	NOUN
cana-4248	186	15	and	and	CCONJ
cana-4248	186	16	context	context	NOUN
cana-4248	186	17	within	within	ADP
cana-4248	186	18	the	the	DET
cana-4248	186	19	ecg	ecg	PROPN
cana-4248	186	20	signals.the	signals.the	DET
cana-4248	186	21	output	output	NOUN
cana-4248	186	22	from	from	ADP
cana-4248	186	23	the	the	DET
cana-4248	186	24	rnn	rnn	NOUN
cana-4248	186	25	,	,	PUNCT
cana-4248	186	26	which	which	PRON
cana-4248	186	27	now	now	ADV
cana-4248	186	28	reflects	reflect	VERB
cana-4248	186	29	both	both	CCONJ
cana-4248	186	30	spatial	spatial	ADJ
cana-4248	186	31	and	and	CCONJ
cana-4248	186	32	temporal	temporal	ADJ
cana-4248	186	33	functions	function	NOUN
cana-4248	186	34	,	,	PUNCT
cana-4248	186	35	is	be	AUX
cana-4248	186	36	then	then	ADV
cana-4248	186	37	fed	feed	VERB
cana-4248	186	38	into	into	ADP
cana-4248	186	39	a	a	DET
cana-4248	186	40	fully	fully	ADV
cana-4248	186	41	linked	link	VERB
cana-4248	186	42	layer	layer	NOUN
cana-4248	186	43	that	that	PRON
cana-4248	186	44	performs	perform	VERB
cana-4248	186	45	the	the	DET
cana-4248	186	46	final	final	ADJ
cana-4248	186	47	type	type	NOUN
cana-4248	186	48	.	.	PUNCT
cana-4248	187	1	this	this	DET
cana-4248	187	2	layer	layer	NOUN
cana-4248	187	3	makes	make	VERB
cana-4248	187	4	use	use	NOUN
cana-4248	187	5	of	of	ADP
cana-4248	187	6	a	a	DET
cana-4248	187	7	softmax	softmax	NOUN
cana-4248	187	8	activation	activation	NOUN
cana-4248	187	9	function	function	VERB
cana-4248	187	10	to	to	PART
cana-4248	187	11	produce	produce	VERB
cana-4248	187	12	a	a	DET
cana-4248	187	13	possibility	possibility	NOUN
cana-4248	187	14	distribution	distribution	NOUN
cana-4248	187	15	over	over	ADP
cana-4248	187	16	the	the	DET
cana-4248	187	17	viable	viable	ADJ
cana-4248	187	18	instructions	instruction	NOUN
cana-4248	187	19	,	,	PUNCT
cana-4248	187	20	allowing	allow	VERB
cana-4248	187	21	the	the	DET
cana-4248	187	22	version	version	NOUN
cana-4248	187	23	to	to	PART
cana-4248	187	24	make	make	VERB
cana-4248	187	25	correct	correct	ADJ
cana-4248	187	26	predictions	prediction	NOUN
cana-4248	187	27	.	.	PUNCT
cana-4248	188	1	communications	communication	NOUN
cana-4248	188	2	on	on	ADP
cana-4248	188	3	applied	apply	VERB
cana-4248	188	4	nonlinear	nonlinear	ADJ
cana-4248	188	5	analysis	analysis	NOUN
cana-4248	188	6	issn	issn	NOUN
cana-4248	188	7	:	:	PUNCT
cana-4248	188	8	1074	1074	NUM
cana-4248	188	9	-	-	PUNCT
cana-4248	188	10	133x	133x	NUM
cana-4248	188	11	vol	vol	NOUN
cana-4248	188	12	32	32	NUM
cana-4248	188	13	no	no	NOUN
cana-4248	188	14	.	.	PUNCT
cana-4248	189	1	9s	9s	NUM
cana-4248	189	2	(	(	PUNCT
cana-4248	189	3	2025	2025	NUM
cana-4248	189	4	)	)	PUNCT
cana-4248	189	5	1599	1599	NUM
cana-4248	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	189	7	during	during	ADP
cana-4248	189	8	training	training	NOUN
cana-4248	189	9	,	,	PUNCT
cana-4248	189	10	the	the	DET
cana-4248	189	11	model	model	NOUN
cana-4248	189	12	is	be	AUX
cana-4248	189	13	optimized	optimize	VERB
cana-4248	189	14	the	the	DET
cana-4248	189	15	use	use	NOUN
cana-4248	189	16	of	of	ADP
cana-4248	189	17	a	a	DET
cana-4248	189	18	loss	loss	NOUN
cana-4248	189	19	characteristic	characteristic	NOUN
cana-4248	189	20	,	,	PUNCT
cana-4248	189	21	consisting	consist	VERB
cana-4248	189	22	of	of	ADP
cana-4248	189	23	categorical	categorical	ADJ
cana-4248	189	24	cross	cross	NOUN
cana-4248	189	25	-	-	NOUN
cana-4248	189	26	entropy	entropy	ADJ
cana-4248	189	27	,	,	PUNCT
cana-4248	189	28	and	and	CCONJ
cana-4248	189	29	an	an	DET
cana-4248	189	30	optimization	optimization	NOUN
cana-4248	189	31	set	set	NOUN
cana-4248	189	32	of	of	ADP
cana-4248	189	33	rules	rule	NOUN
cana-4248	189	34	like	like	ADP
cana-4248	189	35	adam	adam	PROPN
cana-4248	189	36	.	.	PUNCT
cana-4248	190	1	the	the	DET
cana-4248	190	2	schooling	schooling	NOUN
cana-4248	190	3	manner	manner	NOUN
cana-4248	190	4	adjusts	adjust	VERB
cana-4248	190	5	the	the	DET
cana-4248	190	6	model	model	NOUN
cana-4248	190	7	weights	weight	NOUN
cana-4248	190	8	to	to	PART
cana-4248	190	9	reduce	reduce	VERB
cana-4248	190	10	the	the	DET
cana-4248	190	11	loss	loss	NOUN
cana-4248	190	12	feature	feature	NOUN
cana-4248	190	13	,	,	PUNCT
cana-4248	190	14	making	make	VERB
cana-4248	190	15	sure	sure	ADJ
cana-4248	190	16	that	that	SCONJ
cana-4248	190	17	the	the	DET
cana-4248	190	18	version	version	NOUN
cana-4248	190	19	appropriately	appropriately	ADV
cana-4248	190	20	learns	learn	VERB
cana-4248	190	21	from	from	ADP
cana-4248	190	22	the	the	DET
cana-4248	190	23	training	training	NOUN
cana-4248	190	24	information	information	NOUN
cana-4248	190	25	.	.	PUNCT
cana-4248	191	1	the	the	DET
cana-4248	191	2	model	model	NOUN
cana-4248	191	3	’s	’s	PART
cana-4248	191	4	overall	overall	ADJ
cana-4248	191	5	performance	performance	NOUN
cana-4248	191	6	is	be	AUX
cana-4248	191	7	evaluated	evaluate	VERB
cana-4248	191	8	using	use	VERB
cana-4248	191	9	metrics	metric	NOUN
cana-4248	191	10	like	like	ADP
cana-4248	191	11	precision	precision	NOUN
cana-4248	191	12	,	,	PUNCT
cana-4248	191	13	do	do	AUX
cana-4248	191	14	n't	not	PART
cana-4248	191	15	forget	forget	VERB
cana-4248	191	16	,	,	PUNCT
cana-4248	191	17	f1	f1	NOUN
cana-4248	191	18	-	-	PUNCT
cana-4248	191	19	score	score	NOUN
cana-4248	191	20	,	,	PUNCT
cana-4248	191	21	and	and	CCONJ
cana-4248	191	22	accuracy	accuracy	NOUN
cana-4248	191	23	to	to	PART
cana-4248	191	24	make	make	VERB
cana-4248	191	25	certain	certain	ADJ
cana-4248	191	26	it	it	PRON
cana-4248	191	27	generalizes	generalize	VERB
cana-4248	191	28	properly	properly	ADV
cana-4248	191	29	to	to	ADP
cana-4248	191	30	unseen	unseen	ADJ
cana-4248	191	31	records	record	NOUN
cana-4248	191	32	.	.	PUNCT
cana-4248	192	1	figure.7	figure.7	ADJ
cana-4248	192	2	cnn	cnn	PROPN
cana-4248	192	3	and	and	CCONJ
cana-4248	192	4	rnn	rnn	PROPN
cana-4248	192	5	model	model	PROPN
cana-4248	192	6	classification	classification	PROPN
cana-4248	192	7	ii).hybrid	ii).hybrid	VERB
cana-4248	192	8	cnn	cnn	PROPN
cana-4248	192	9	-	-	PUNCT
cana-4248	192	10	rnn	rnn	VERB
cana-4248	192	11	classification	classification	NOUN
cana-4248	192	12	result	result	NOUN
cana-4248	192	13	:	:	PUNCT
cana-4248	193	1	the	the	DET
cana-4248	193	2	classification	classification	NOUN
cana-4248	193	3	performance	performance	NOUN
cana-4248	193	4	of	of	ADP
cana-4248	193	5	the	the	DET
cana-4248	193	6	hybrid	hybrid	ADJ
cana-4248	193	7	model	model	NOUN
cana-4248	193	8	,	,	PUNCT
cana-4248	193	9	combining	combine	VERB
cana-4248	193	10	cnn	cnn	PROPN
cana-4248	193	11	and	and	CCONJ
cana-4248	193	12	rnn	rnn	PROPN
cana-4248	193	13	,	,	PUNCT
cana-4248	193	14	is	be	AUX
cana-4248	193	15	summarized	summarize	VERB
cana-4248	193	16	below	below	ADV
cana-4248	193	17	.	.	PUNCT
cana-4248	194	1	the	the	DET
cana-4248	194	2	model	model	NOUN
cana-4248	194	3	demonstrated	demonstrate	VERB
cana-4248	194	4	exceptional	exceptional	ADJ
cana-4248	194	5	accuracy	accuracy	NOUN
cana-4248	194	6	across	across	ADP
cana-4248	194	7	multiple	multiple	ADJ
cana-4248	194	8	categories	category	NOUN
cana-4248	194	9	,	,	PUNCT
cana-4248	194	10	achieving	achieve	VERB
cana-4248	194	11	an	an	DET
cana-4248	194	12	overall	overall	ADJ
cana-4248	194	13	accuracy	accuracy	NOUN
cana-4248	194	14	of	of	ADP
cana-4248	194	15	99.25	99.25	NUM
cana-4248	194	16	%	%	NOUN
cana-4248	194	17	.	.	PUNCT
cana-4248	195	1	the	the	DET
cana-4248	195	2	model	model	NOUN
cana-4248	195	3	's	's	PART
cana-4248	195	4	resilience	resilience	NOUN
cana-4248	195	5	in	in	ADP
cana-4248	195	6	recognizing	recognize	VERB
cana-4248	195	7	normal	normal	ADJ
cana-4248	195	8	instances	instance	NOUN
cana-4248	195	9	from	from	ADP
cana-4248	195	10	the	the	DET
cana-4248	195	11	dataset	dataset	NOUN
cana-4248	195	12	was	be	AUX
cana-4248	195	13	shown	show	VERB
cana-4248	195	14	by	by	ADP
cana-4248	195	15	its	its	PRON
cana-4248	195	16	remarkable	remarkable	ADJ
cana-4248	195	17	accuracy	accuracy	NOUN
cana-4248	195	18	of	of	ADP
cana-4248	195	19	0.9998	0.9998	NUM
cana-4248	195	20	,	,	PUNCT
cana-4248	195	21	recall	recall	NOUN
cana-4248	195	22	of	of	ADP
cana-4248	195	23	0.9925	0.9925	NUM
cana-4248	195	24	,	,	PUNCT
cana-4248	195	25	and	and	CCONJ
cana-4248	195	26	f1	f1	NOUN
cana-4248	195	27	-	-	PUNCT
cana-4248	195	28	score	score	NOUN
cana-4248	195	29	of	of	ADP
cana-4248	195	30	0.9961	0.9961	NUM
cana-4248	195	31	for	for	ADP
cana-4248	195	32	the	the	DET
cana-4248	195	33	'	'	PUNCT
cana-4248	195	34	normal	normal	ADJ
cana-4248	195	35	'	'	PUNCT
cana-4248	195	36	class	class	NOUN
cana-4248	195	37	.	.	PUNCT
cana-4248	196	1	with	with	ADP
cana-4248	196	2	a	a	DET
cana-4248	196	3	recall	recall	NOUN
cana-4248	196	4	of	of	ADP
cana-4248	196	5	0.9986	0.9986	NUM
cana-4248	196	6	,	,	PUNCT
cana-4248	196	7	an	an	DET
cana-4248	196	8	f1	f1	NOUN
cana-4248	196	9	-	-	PUNCT
cana-4248	196	10	score	score	NOUN
cana-4248	196	11	of	of	ADP
cana-4248	196	12	0.9422	0.9422	NUM
cana-4248	196	13	,	,	PUNCT
cana-4248	196	14	and	and	CCONJ
cana-4248	196	15	a	a	DET
cana-4248	196	16	precision	precision	NOUN
cana-4248	196	17	of	of	ADP
cana-4248	196	18	0.8919	0.8919	NUM
cana-4248	196	19	for	for	ADP
cana-4248	196	20	the	the	DET
cana-4248	196	21	'	'	PUNCT
cana-4248	196	22	atrial	atrial	ADJ
cana-4248	196	23	premature	premature	NOUN
cana-4248	196	24	'	'	PUNCT
cana-4248	196	25	category	category	NOUN
cana-4248	196	26	,	,	PUNCT
cana-4248	196	27	the	the	DET
cana-4248	196	28	model	model	NOUN
cana-4248	196	29	demonstrated	demonstrate	VERB
cana-4248	196	30	a	a	DET
cana-4248	196	31	remarkable	remarkable	ADJ
cana-4248	196	32	capacity	capacity	NOUN
cana-4248	196	33	to	to	PART
cana-4248	196	34	detect	detect	VERB
cana-4248	196	35	and	and	CCONJ
cana-4248	196	36	appropriately	appropriately	ADV
cana-4248	196	37	categorize	categorize	VERB
cana-4248	196	38	events	event	NOUN
cana-4248	196	39	that	that	PRON
cana-4248	196	40	occur	occur	VERB
cana-4248	196	41	at	at	ADP
cana-4248	196	42	low	low	ADJ
cana-4248	196	43	frequencies.the	frequencies.the	DET
cana-4248	196	44	model	model	NOUN
cana-4248	196	45	's	's	PART
cana-4248	196	46	reliability	reliability	NOUN
cana-4248	196	47	in	in	ADP
cana-4248	196	48	recognizing	recognize	VERB
cana-4248	196	49	'	'	PUNCT
cana-4248	196	50	premature	premature	ADJ
cana-4248	196	51	ventricular	ventricular	ADJ
cana-4248	196	52	contraction	contraction	NOUN
cana-4248	196	53	'	'	PART
cana-4248	196	54	events	event	NOUN
cana-4248	196	55	was	be	AUX
cana-4248	196	56	strong	strong	ADJ
cana-4248	196	57	,	,	PUNCT
cana-4248	196	58	as	as	SCONJ
cana-4248	196	59	shown	show	VERB
cana-4248	196	60	by	by	ADP
cana-4248	196	61	its	its	PRON
cana-4248	196	62	precision	precision	NOUN
cana-4248	196	63	of	of	ADP
cana-4248	196	64	0.9806	0.9806	NUM
cana-4248	196	65	,	,	PUNCT
cana-4248	196	66	recall	recall	NOUN
cana-4248	196	67	of	of	ADP
cana-4248	196	68	0.9843	0.9843	NUM
cana-4248	196	69	,	,	PUNCT
cana-4248	196	70	and	and	CCONJ
cana-4248	196	71	f1	f1	NOUN
cana-4248	196	72	-	-	PUNCT
cana-4248	196	73	score	score	NOUN
cana-4248	196	74	of	of	ADP
cana-4248	196	75	0.9825	0.9825	NUM
cana-4248	196	76	.	.	PUNCT
cana-4248	197	1	as	as	SCONJ
cana-4248	197	2	compared	compare	VERB
cana-4248	197	3	to	to	ADP
cana-4248	197	4	the	the	DET
cana-4248	197	5	'	'	PUNCT
cana-4248	197	6	fusion	fusion	NOUN
cana-4248	197	7	of	of	ADP
cana-4248	197	8	paced	paced	ADJ
cana-4248	197	9	and	and	CCONJ
cana-4248	197	10	normal	normal	ADJ
cana-4248	197	11	'	'	PUNCT
cana-4248	197	12	category	category	NOUN
cana-4248	197	13	,	,	PUNCT
cana-4248	197	14	which	which	PRON
cana-4248	197	15	had	have	VERB
cana-4248	197	16	an	an	DET
cana-4248	197	17	f1	f1	NOUN
cana-4248	197	18	-	-	PUNCT
cana-4248	197	19	score	score	NOUN
cana-4248	197	20	of	of	ADP
cana-4248	197	21	0.9954	0.9954	NUM
cana-4248	197	22	,	,	PUNCT
cana-4248	197	23	a	a	DET
cana-4248	197	24	recall	recall	NOUN
cana-4248	197	25	of	of	ADP
cana-4248	197	26	0.9975	0.9975	NUM
cana-4248	197	27	,	,	PUNCT
cana-4248	197	28	and	and	CCONJ
cana-4248	197	29	a	a	DET
cana-4248	197	30	precision	precision	NOUN
cana-4248	197	31	of	of	ADP
cana-4248	197	32	0.9658	0.9658	NUM
cana-4248	197	33	,	,	PUNCT
cana-4248	197	34	the	the	DET
cana-4248	197	35	'	'	PUNCT
cana-4248	197	36	fusion	fusion	NOUN
cana-4248	197	37	of	of	ADP
cana-4248	197	38	ventricular	ventricular	ADJ
cana-4248	197	39	and	and	CCONJ
cana-4248	197	40	normal	normal	ADJ
cana-4248	197	41	'	'	PUNCT
cana-4248	197	42	category	category	NOUN
cana-4248	197	43	had	have	VERB
cana-4248	197	44	an	an	DET
cana-4248	197	45	f1	f1	NOUN
cana-4248	197	46	-	-	PUNCT
cana-4248	197	47	score	score	NOUN
cana-4248	197	48	of	of	ADP
cana-4248	197	49	0.9769	0.9769	NUM
cana-4248	197	50	.	.	PUNCT
cana-4248	198	1	these	these	DET
cana-4248	198	2	outcomes	outcome	NOUN
cana-4248	198	3	demonstrate	demonstrate	VERB
cana-4248	198	4	how	how	SCONJ
cana-4248	198	5	well	well	ADV
cana-4248	198	6	the	the	DET
cana-4248	198	7	model	model	NOUN
cana-4248	198	8	handles	handle	VERB
cana-4248	198	9	complicated	complicated	ADJ
cana-4248	198	10	cardiac	cardiac	ADJ
cana-4248	198	11	events.the	events.the	X
cana-4248	198	12	model	model	NOUN
cana-4248	198	13	's	's	PART
cana-4248	198	14	balanced	balanced	ADJ
cana-4248	198	15	performance	performance	NOUN
cana-4248	198	16	across	across	ADP
cana-4248	198	17	multiple	multiple	ADJ
cana-4248	198	18	classes	class	NOUN
cana-4248	198	19	is	be	AUX
cana-4248	198	20	shown	show	VERB
cana-4248	198	21	in	in	ADP
cana-4248	198	22	the	the	DET
cana-4248	198	23	macro	macro	ADJ
cana-4248	198	24	average	average	ADJ
cana-4248	198	25	accuracy	accuracy	NOUN
cana-4248	198	26	,	,	PUNCT
cana-4248	198	27	recall	recall	NOUN
cana-4248	198	28	,	,	PUNCT
cana-4248	198	29	and	and	CCONJ
cana-4248	198	30	f1	f1	NOUN
cana-4248	198	31	-	-	PUNCT
cana-4248	198	32	score	score	NOUN
cana-4248	198	33	,	,	PUNCT
cana-4248	198	34	which	which	PRON
cana-4248	198	35	are	be	AUX
cana-4248	198	36	0.9663	0.9663	NUM
cana-4248	198	37	,	,	PUNCT
cana-4248	198	38	0.9922	0.9922	NUM
cana-4248	198	39	,	,	PUNCT
cana-4248	198	40	and	and	CCONJ
cana-4248	198	41	0.9786	0.9786	NUM
cana-4248	198	42	,	,	PUNCT
cana-4248	198	43	respectively	respectively	ADV
cana-4248	198	44	.	.	PUNCT
cana-4248	199	1	an	an	DET
cana-4248	199	2	f1	f1	NOUN
cana-4248	199	3	-	-	PUNCT
cana-4248	199	4	score	score	NOUN
cana-4248	199	5	of	of	ADP
cana-4248	199	6	0.9926	0.9926	NUM
cana-4248	199	7	,	,	PUNCT
cana-4248	199	8	a	a	DET
cana-4248	199	9	recall	recall	NOUN
cana-4248	199	10	of	of	ADP
cana-4248	199	11	0.9925	0.9925	NUM
cana-4248	199	12	,	,	PUNCT
cana-4248	199	13	and	and	CCONJ
cana-4248	199	14	a	a	DET
cana-4248	199	15	precision	precision	NOUN
cana-4248	199	16	of	of	ADP
cana-4248	199	17	0.9930	0.9930	NUM
cana-4248	199	18	are	be	AUX
cana-4248	199	19	the	the	DET
cana-4248	199	20	weighted	weighted	ADJ
cana-4248	199	21	average	average	ADJ
cana-4248	199	22	measures	measure	NOUN
cana-4248	199	23	,	,	PUNCT
cana-4248	199	24	which	which	PRON
cana-4248	199	25	further	far	ADV
cana-4248	199	26	support	support	VERB
cana-4248	199	27	the	the	DET
cana-4248	199	28	model	model	NOUN
cana-4248	199	29	's	's	PART
cana-4248	199	30	overall	overall	ADJ
cana-4248	199	31	efficacy	efficacy	NOUN
cana-4248	199	32	.	.	PUNCT
cana-4248	200	1	based	base	VERB
cana-4248	200	2	on	on	ADP
cana-4248	200	3	these	these	DET
cana-4248	200	4	findings	finding	NOUN
cana-4248	200	5	,	,	PUNCT
cana-4248	200	6	the	the	DET
cana-4248	200	7	hybrid	hybrid	ADJ
cana-4248	200	8	cnn	cnn	PROPN
cana-4248	200	9	-	-	PUNCT
cana-4248	200	10	rnn	rnn	PROPN
cana-4248	200	11	model	model	NOUN
cana-4248	200	12	is	be	AUX
cana-4248	200	13	an	an	DET
cana-4248	200	14	excellent	excellent	ADJ
cana-4248	200	15	diagnostic	diagnostic	ADJ
cana-4248	200	16	tool	tool	NOUN
cana-4248	200	17	for	for	ADP
cana-4248	200	18	identifying	identify	VERB
cana-4248	200	19	and	and	CCONJ
cana-4248	200	20	categorizing	categorize	VERB
cana-4248	200	21	a	a	DET
cana-4248	200	22	wide	wide	ADJ
cana-4248	200	23	range	range	NOUN
cana-4248	200	24	of	of	ADP
cana-4248	200	25	cardiac	cardiac	ADJ
cana-4248	200	26	disorders	disorder	NOUN
cana-4248	200	27	.	.	PUNCT
cana-4248	201	1	communications	communication	NOUN
cana-4248	201	2	on	on	ADP
cana-4248	201	3	applied	apply	VERB
cana-4248	201	4	nonlinear	nonlinear	ADJ
cana-4248	201	5	analysis	analysis	NOUN
cana-4248	201	6	issn	issn	NOUN
cana-4248	201	7	:	:	PUNCT
cana-4248	201	8	1074	1074	NUM
cana-4248	201	9	-	-	PUNCT
cana-4248	201	10	133x	133x	NUM
cana-4248	201	11	vol	vol	NOUN
cana-4248	201	12	32	32	NUM
cana-4248	201	13	no	no	NOUN
cana-4248	201	14	.	.	PUNCT
cana-4248	202	1	9s	9s	NUM
cana-4248	202	2	(	(	PUNCT
cana-4248	202	3	2025	2025	NUM
cana-4248	202	4	)	)	PUNCT
cana-4248	202	5	1600	1600	NUM
cana-4248	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	203	1	table.2	table.2	PROPN
cana-4248	203	2	cnn	cnn	PROPN
cana-4248	203	3	and	and	CCONJ
cana-4248	203	4	rnn	rnn	PROPN
cana-4248	203	5	results	result	NOUN
cana-4248	203	6	category	category	NOUN
cana-4248	203	7	precision	precision	NOUN
cana-4248	203	8	recall	recall	NOUN
cana-4248	203	9	f1	f1	NOUN
cana-4248	203	10	-	-	PUNCT
cana-4248	203	11	score	score	NOUN
cana-4248	203	12	support	support	NOUN
cana-4248	203	13	normal	normal	ADJ
cana-4248	203	14	0.999779233	0.999779233	NUM
cana-4248	203	15	0.992475710	0.992475710	NUM
cana-4248	203	16	0.996114085	0.996114085	NUM
cana-4248	203	17	13689	13689	NUM
cana-4248	203	18	artial	artial	ADJ
cana-4248	203	19	premature	premature	NOUN
cana-4248	203	20	0.891891892	0.891891892	NUM
cana-4248	203	21	0.998559078	0.998559078	NUM
cana-4248	203	22	0.942216179	0.942216179	NUM
cana-4248	203	23	694	694	NUM
cana-4248	203	24	premature	premature	ADJ
cana-4248	203	25	ventricular	ventricular	ADJ
cana-4248	203	26	contraction	contraction	NOUN
cana-4248	203	27	0.980645161	0.980645161	NUM
cana-4248	203	28	0.984273821	0.984273821	NUM
cana-4248	203	29	0.982456140	0.982456140	NUM
cana-4248	203	30	1081	1081	NUM
cana-4248	203	31	fusion	fusion	NOUN
cana-4248	203	32	of	of	ADP
cana-4248	203	33	ventricular	ventricular	ADJ
cana-4248	203	34	and	and	CCONJ
cana-4248	203	35	normal	normal	ADJ
cana-4248	203	36	0.965811966	0.965811966	NUM
cana-4248	203	37	0.988338192	0.988338192	NUM
cana-4248	203	38	0.976945245	0.976945245	NUM
cana-4248	203	39	343	343	NUM
cana-4248	203	40	fusion	fusion	NOUN
cana-4248	203	41	of	of	ADP
cana-4248	203	42	paced	paced	ADJ
cana-4248	203	43	and	and	CCONJ
cana-4248	203	44	normal	normal	ADJ
cana-4248	203	45	0.993366501	0.993366501	NUM
cana-4248	203	46	0.997502082	0.997502082	NUM
cana-4248	203	47	0.995429996	0.995429996	NUM
cana-4248	203	48	1201	1201	NUM
cana-4248	203	49	accuracy	accuracy	NOUN
cana-4248	203	50	0.992474130	0.992474130	NUM
cana-4248	203	51	macro	macro	NOUN
cana-4248	203	52	avg	avg	PROPN
cana-4248	203	53	0.966298951	0.966298951	PROPN
cana-4248	203	54	0.992229777	0.992229777	NUM
cana-4248	203	55	0.978632329	0.978632329	NUM
cana-4248	203	56	17008	17008	NUM
cana-4248	203	57	weighted	weight	VERB
cana-4248	203	58	avg	avg	PROPN
cana-4248	203	59	0.993022988	0.993022988	NUM
cana-4248	203	60	0.992474130	0.992474130	NUM
cana-4248	203	61	0.992611857	0.992611857	NUM
cana-4248	203	62	17008	17008	NUM
cana-4248	203	63	4.5	4.5	NUM
cana-4248	203	64	attention	attention	NOUN
cana-4248	203	65	model	model	NOUN
cana-4248	203	66	for	for	SCONJ
cana-4248	203	67	ecg	ecg	PROPN
cana-4248	203	68	analysis	analysis	NOUN
cana-4248	203	69	to	to	PART
cana-4248	203	70	efficiently	efficiently	ADV
cana-4248	203	71	evaluate	evaluate	VERB
cana-4248	203	72	electrocardiogram	electrocardiogram	NOUN
cana-4248	203	73	(	(	PUNCT
cana-4248	203	74	ecg	ecg	PROPN
cana-4248	203	75	)	)	PUNCT
cana-4248	203	76	data	datum	NOUN
cana-4248	203	77	for	for	ADP
cana-4248	203	78	arrhythmia	arrhythmia	NOUN
cana-4248	203	79	identification	identification	NOUN
cana-4248	203	80	,	,	PUNCT
cana-4248	203	81	a	a	DET
cana-4248	203	82	cnn+lstm+attention	cnn+lstm+attention	NOUN
cana-4248	203	83	model	model	NOUN
cana-4248	203	84	integrates	integrate	VERB
cana-4248	203	85	the	the	DET
cana-4248	203	86	advantages	advantage	NOUN
cana-4248	203	87	of	of	ADP
cana-4248	203	88	cnns	cnn	NOUN
cana-4248	203	89	and	and	CCONJ
cana-4248	203	90	lstm	lstm	NOUN
cana-4248	203	91	networks	network	NOUN
cana-4248	203	92	,	,	PUNCT
cana-4248	203	93	with	with	ADP
cana-4248	203	94	the	the	DET
cana-4248	203	95	help	help	NOUN
cana-4248	203	96	of	of	ADP
cana-4248	203	97	attention	attention	NOUN
cana-4248	203	98	mechanisms.first	mechanisms.first	ADJ
cana-4248	203	99	,	,	PUNCT
cana-4248	203	100	the	the	DET
cana-4248	203	101	model	model	NOUN
cana-4248	203	102	's	's	PART
cana-4248	203	103	design	design	NOUN
cana-4248	203	104	incorporates	incorporate	VERB
cana-4248	203	105	convolutional	convolutional	ADJ
cana-4248	203	106	neural	neural	ADJ
cana-4248	203	107	network	network	NOUN
cana-4248	203	108	(	(	PUNCT
cana-4248	203	109	cnn	cnn	PROPN
cana-4248	203	110	)	)	PUNCT
cana-4248	203	111	layers	layer	NOUN
cana-4248	203	112	to	to	PART
cana-4248	203	113	glean	glean	VERB
cana-4248	203	114	important	important	ADJ
cana-4248	203	115	spatial	spatial	ADJ
cana-4248	203	116	information	information	NOUN
cana-4248	203	117	from	from	ADP
cana-4248	203	118	the	the	DET
cana-4248	203	119	ecg	ecg	PROPN
cana-4248	203	120	data	data	NOUN
cana-4248	203	121	input	input	NOUN
cana-4248	203	122	.	.	PUNCT
cana-4248	204	1	by	by	ADP
cana-4248	204	2	using	use	VERB
cana-4248	204	3	learnable	learnable	ADJ
cana-4248	204	4	filters	filter	NOUN
cana-4248	204	5	,	,	PUNCT
cana-4248	204	6	these	these	DET
cana-4248	204	7	cnn	cnn	PROPN
cana-4248	204	8	layers	layer	NOUN
cana-4248	204	9	are	be	AUX
cana-4248	204	10	able	able	ADJ
cana-4248	204	11	to	to	PART
cana-4248	204	12	identify	identify	VERB
cana-4248	204	13	patterns	pattern	NOUN
cana-4248	204	14	and	and	CCONJ
cana-4248	204	15	spatial	spatial	ADJ
cana-4248	204	16	correlations	correlation	NOUN
cana-4248	204	17	in	in	ADP
cana-4248	204	18	the	the	DET
cana-4248	204	19	ecg	ecg	PROPN
cana-4248	204	20	data	data	PROPN
cana-4248	204	21	,	,	PUNCT
cana-4248	204	22	allowing	allow	VERB
cana-4248	204	23	them	they	PRON
cana-4248	204	24	to	to	PART
cana-4248	204	25	capture	capture	VERB
cana-4248	204	26	crucial	crucial	ADJ
cana-4248	204	27	elements	element	NOUN
cana-4248	204	28	that	that	PRON
cana-4248	204	29	indicate	indicate	VERB
cana-4248	204	30	various	various	ADJ
cana-4248	204	31	arrhythmias	arrhythmia	NOUN
cana-4248	204	32	.	.	PUNCT
cana-4248	205	1	long	long	ADJ
cana-4248	205	2	short	short	ADJ
cana-4248	205	3	-	-	PUNCT
cana-4248	205	4	term	term	NOUN
cana-4248	205	5	memory	memory	NOUN
cana-4248	205	6	(	(	PUNCT
cana-4248	205	7	lstm	lstm	NOUN
cana-4248	205	8	)	)	PUNCT
cana-4248	205	9	layers	layer	NOUN
cana-4248	205	10	take	take	VERB
cana-4248	205	11	use	use	NOUN
cana-4248	205	12	of	of	ADP
cana-4248	205	13	the	the	DET
cana-4248	205	14	cnn	cnn	PROPN
cana-4248	205	15	layers	layer	NOUN
cana-4248	205	16	'	'	PART
cana-4248	205	17	output	output	NOUN
cana-4248	205	18	by	by	ADP
cana-4248	205	19	capturing	capture	VERB
cana-4248	205	20	long	long	ADJ
cana-4248	205	21	-	-	PUNCT
cana-4248	205	22	term	term	NOUN
cana-4248	205	23	patterns	pattern	NOUN
cana-4248	205	24	and	and	CCONJ
cana-4248	205	25	temporal	temporal	ADJ
cana-4248	205	26	relationships	relationship	NOUN
cana-4248	205	27	in	in	ADP
cana-4248	205	28	sequential	sequential	ADJ
cana-4248	205	29	data	datum	NOUN
cana-4248	205	30	.	.	PUNCT
cana-4248	206	1	because	because	SCONJ
cana-4248	206	2	ecg	ecg	PROPN
cana-4248	206	3	signals	signal	NOUN
cana-4248	206	4	tend	tend	VERB
cana-4248	206	5	to	to	PART
cana-4248	206	6	be	be	AUX
cana-4248	206	7	consecutive	consecutive	ADJ
cana-4248	206	8	,	,	PUNCT
cana-4248	206	9	this	this	PRON
cana-4248	206	10	lets	let	VERB
cana-4248	206	11	the	the	DET
cana-4248	206	12	model	model	NOUN
cana-4248	206	13	factor	factor	NOUN
cana-4248	206	14	in	in	ADP
cana-4248	206	15	data	datum	NOUN
cana-4248	206	16	from	from	ADP
cana-4248	206	17	earlier	early	ADJ
cana-4248	206	18	time	time	NOUN
cana-4248	206	19	steps	step	NOUN
cana-4248	206	20	when	when	SCONJ
cana-4248	206	21	making	make	VERB
cana-4248	206	22	predictions.furthermore	predictions.furthermore	NOUN
cana-4248	206	23	,	,	PUNCT
cana-4248	206	24	the	the	DET
cana-4248	206	25	model	model	NOUN
cana-4248	206	26	includes	include	VERB
cana-4248	206	27	attention	attention	NOUN
cana-4248	206	28	mechanisms	mechanism	NOUN
cana-4248	206	29	that	that	PRON
cana-4248	206	30	dynamically	dynamically	ADV
cana-4248	206	31	prioritize	prioritize	VERB
cana-4248	206	32	various	various	ADJ
cana-4248	206	33	elements	element	NOUN
cana-4248	206	34	of	of	ADP
cana-4248	206	35	the	the	DET
cana-4248	206	36	input	input	NOUN
cana-4248	206	37	sequence	sequence	NOUN
cana-4248	206	38	.	.	PUNCT
cana-4248	207	1	through	through	ADP
cana-4248	207	2	this	this	DET
cana-4248	207	3	attention	attention	NOUN
cana-4248	207	4	process	process	NOUN
cana-4248	207	5	,	,	PUNCT
cana-4248	207	6	the	the	DET
cana-4248	207	7	model	model	NOUN
cana-4248	207	8	is	be	AUX
cana-4248	207	9	able	able	ADJ
cana-4248	207	10	to	to	PART
cana-4248	207	11	zero	zero	VERB
cana-4248	207	12	in	in	ADP
cana-4248	207	13	on	on	ADP
cana-4248	207	14	the	the	DET
cana-4248	207	15	most	most	ADV
cana-4248	207	16	important	important	ADJ
cana-4248	207	17	parts	part	NOUN
cana-4248	207	18	of	of	ADP
cana-4248	207	19	the	the	DET
cana-4248	207	20	electrocardiogram	electrocardiogram	NOUN
cana-4248	207	21	(	(	PUNCT
cana-4248	207	22	ecg	ecg	PROPN
cana-4248	207	23	)	)	PUNCT
cana-4248	207	24	signal	signal	NOUN
cana-4248	207	25	,	,	PUNCT
cana-4248	207	26	improving	improve	VERB
cana-4248	207	27	its	its	PRON
cana-4248	207	28	capacity	capacity	NOUN
cana-4248	207	29	to	to	PART
cana-4248	207	30	detect	detect	VERB
cana-4248	207	31	irregularities	irregularity	NOUN
cana-4248	207	32	and	and	CCONJ
cana-4248	207	33	subtle	subtle	ADJ
cana-4248	207	34	patterns	pattern	NOUN
cana-4248	207	35	linked	link	VERB
cana-4248	207	36	to	to	AUX
cana-4248	207	37	arrhythmias.annotated	arrhythmias.annotate	VERB
cana-4248	207	38	electrocardiogram	electrocardiogram	NOUN
cana-4248	207	39	(	(	PUNCT
cana-4248	207	40	ecg	ecg	PROPN
cana-4248	207	41	)	)	PUNCT
cana-4248	207	42	data	datum	NOUN
cana-4248	207	43	,	,	PUNCT
cana-4248	207	44	with	with	ADP
cana-4248	207	45	each	each	DET
cana-4248	207	46	segment	segment	NOUN
cana-4248	207	47	labeled	label	VERB
cana-4248	207	48	with	with	ADP
cana-4248	207	49	its	its	PRON
cana-4248	207	50	accompanying	accompany	VERB
cana-4248	207	51	arrhythmia	arrhythmia	NOUN
cana-4248	207	52	diagnosis	diagnosis	NOUN
cana-4248	207	53	,	,	PUNCT
cana-4248	207	54	is	be	AUX
cana-4248	207	55	fed	feed	VERB
cana-4248	207	56	into	into	ADP
cana-4248	207	57	the	the	DET
cana-4248	207	58	model	model	NOUN
cana-4248	207	59	during	during	ADP
cana-4248	207	60	training	training	NOUN
cana-4248	207	61	.	.	PUNCT
cana-4248	208	1	in	in	ADP
cana-4248	208	2	order	order	NOUN
cana-4248	208	3	to	to	PART
cana-4248	208	4	provide	provide	VERB
cana-4248	208	5	reliable	reliable	ADJ
cana-4248	208	6	predictions	prediction	NOUN
cana-4248	208	7	,	,	PUNCT
cana-4248	208	8	the	the	DET
cana-4248	208	9	model	model	NOUN
cana-4248	208	10	figures	figure	VERB
cana-4248	208	11	out	out	ADP
cana-4248	208	12	how	how	SCONJ
cana-4248	208	13	to	to	PART
cana-4248	208	14	best	well	ADV
cana-4248	208	15	integrate	integrate	VERB
cana-4248	208	16	the	the	DET
cana-4248	208	17	temporal	temporal	ADJ
cana-4248	208	18	and	and	CCONJ
cana-4248	208	19	geographical	geographical	ADJ
cana-4248	208	20	data	datum	NOUN
cana-4248	208	21	included	include	VERB
cana-4248	208	22	in	in	ADP
cana-4248	208	23	the	the	DET
cana-4248	208	24	ecg	ecg	PROPN
cana-4248	208	25	signals	signal	NOUN
cana-4248	208	26	.	.	PUNCT
cana-4248	209	1	the	the	DET
cana-4248	209	2	model	model	NOUN
cana-4248	209	3	optimizes	optimize	VERB
cana-4248	209	4	its	its	PRON
cana-4248	209	5	performance	performance	NOUN
cana-4248	209	6	and	and	CCONJ
cana-4248	209	7	reduces	reduce	VERB
cana-4248	209	8	classification	classification	NOUN
cana-4248	209	9	mistakes	mistake	NOUN
cana-4248	209	10	by	by	ADP
cana-4248	209	11	adjusting	adjust	VERB
cana-4248	209	12	its	its	PRON
cana-4248	209	13	parameters	parameter	NOUN
cana-4248	209	14	using	use	VERB
cana-4248	209	15	backpropagation	backpropagation	NOUN
cana-4248	209	16	.	.	PUNCT
cana-4248	210	1	once	once	ADV
cana-4248	210	2	trained	train	VERB
cana-4248	210	3	,	,	PUNCT
cana-4248	210	4	the	the	DET
cana-4248	210	5	cnn+lstm+attention	cnn+lstm+attention	NOUN
cana-4248	210	6	model	model	NOUN
cana-4248	210	7	can	can	AUX
cana-4248	210	8	be	be	AUX
cana-4248	210	9	deployed	deploy	VERB
cana-4248	210	10	for	for	ADP
cana-4248	210	11	real	real	ADJ
cana-4248	210	12	-	-	PUNCT
cana-4248	210	13	time	time	NOUN
cana-4248	210	14	arrhythmia	arrhythmia	NOUN
cana-4248	210	15	detection	detection	NOUN
cana-4248	210	16	from	from	ADP
cana-4248	210	17	ecg	ecg	PROPN
cana-4248	210	18	signals	signal	NOUN
cana-4248	210	19	.	.	PUNCT
cana-4248	211	1	by	by	ADP
cana-4248	211	2	leveraging	leverage	VERB
cana-4248	211	3	the	the	DET
cana-4248	211	4	complementary	complementary	ADJ
cana-4248	211	5	strengths	strength	NOUN
cana-4248	211	6	of	of	ADP
cana-4248	211	7	cnns	cnn	NOUN
cana-4248	211	8	,	,	PUNCT
cana-4248	211	9	lstms	lstms	ADJ
cana-4248	211	10	,	,	PUNCT
cana-4248	211	11	and	and	CCONJ
cana-4248	211	12	attention	attention	NOUN
cana-4248	211	13	mechanisms	mechanism	NOUN
cana-4248	211	14	,	,	PUNCT
cana-4248	211	15	the	the	DET
cana-4248	211	16	model	model	NOUN
cana-4248	211	17	provides	provide	VERB
cana-4248	211	18	clinicians	clinician	NOUN
cana-4248	211	19	with	with	ADP
cana-4248	211	20	valuable	valuable	ADJ
cana-4248	211	21	insights	insight	NOUN
cana-4248	211	22	into	into	ADP
cana-4248	211	23	patients	patient	NOUN
cana-4248	211	24	'	'	PART
cana-4248	211	25	cardiac	cardiac	ADJ
cana-4248	211	26	health	health	NOUN
cana-4248	211	27	,	,	PUNCT
cana-4248	211	28	facilitating	facilitate	VERB
cana-4248	211	29	early	early	ADJ
cana-4248	211	30	detection	detection	NOUN
cana-4248	211	31	and	and	CCONJ
cana-4248	211	32	intervention	intervention	NOUN
cana-4248	211	33	for	for	ADP
cana-4248	211	34	arrhythmias	arrhythmia	NOUN
cana-4248	211	35	.	.	PUNCT
cana-4248	212	1	overall	overall	ADV
cana-4248	212	2	,	,	PUNCT
cana-4248	212	3	this	this	DET
cana-4248	212	4	advanced	advanced	ADJ
cana-4248	212	5	model	model	NOUN
cana-4248	212	6	enhances	enhance	VERB
cana-4248	212	7	the	the	DET
cana-4248	212	8	accuracy	accuracy	NOUN
cana-4248	212	9	and	and	CCONJ
cana-4248	212	10	efficiency	efficiency	NOUN
cana-4248	212	11	of	of	ADP
cana-4248	212	12	ecg	ecg	PROPN
cana-4248	212	13	analysis	analysis	NOUN
cana-4248	212	14	,	,	PUNCT
cana-4248	212	15	ultimately	ultimately	ADV
cana-4248	212	16	improving	improve	VERB
cana-4248	212	17	patient	patient	ADJ
cana-4248	212	18	outcomes	outcome	NOUN
cana-4248	212	19	in	in	ADP
cana-4248	212	20	cardiac	cardiac	ADJ
cana-4248	212	21	care	care	NOUN
cana-4248	212	22	.	.	PUNCT
cana-4248	213	1	communications	communication	NOUN
cana-4248	213	2	on	on	ADP
cana-4248	213	3	applied	apply	VERB
cana-4248	213	4	nonlinear	nonlinear	ADJ
cana-4248	213	5	analysis	analysis	NOUN
cana-4248	213	6	issn	issn	NOUN
cana-4248	213	7	:	:	PUNCT
cana-4248	213	8	1074	1074	NUM
cana-4248	213	9	-	-	PUNCT
cana-4248	213	10	133x	133x	NUM
cana-4248	213	11	vol	vol	NOUN
cana-4248	213	12	32	32	NUM
cana-4248	213	13	no	no	NOUN
cana-4248	213	14	.	.	PUNCT
cana-4248	214	1	9s	9s	NUM
cana-4248	214	2	(	(	PUNCT
cana-4248	214	3	2025	2025	NUM
cana-4248	214	4	)	)	PUNCT
cana-4248	214	5	1601	1601	NUM
cana-4248	214	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	215	1	figure.8	figure.8	PROPN
cana-4248	215	2	cnn	cnn	PROPN
cana-4248	215	3	and	and	CCONJ
cana-4248	215	4	rnn	rnn	NOUN
cana-4248	215	5	results	result	VERB
cana-4248	215	6	4.6	4.6	NUM
cana-4248	215	7	comparison	comparison	NOUN
cana-4248	215	8	of	of	ADP
cana-4248	215	9	algorithms	algorithm	NOUN
cana-4248	215	10	:	:	PUNCT
cana-4248	215	11	the	the	DET
cana-4248	215	12	study	study	NOUN
cana-4248	215	13	's	's	PART
cana-4248	215	14	findings	finding	NOUN
cana-4248	215	15	show	show	VERB
cana-4248	215	16	that	that	SCONJ
cana-4248	215	17	the	the	DET
cana-4248	215	18	deep	deep	ADJ
cana-4248	215	19	learning	learning	NOUN
cana-4248	215	20	models	model	NOUN
cana-4248	215	21	,	,	PUNCT
cana-4248	215	22	particularly	particularly	ADV
cana-4248	215	23	the	the	DET
cana-4248	215	24	rnn	rnn	NOUN
cana-4248	215	25	,	,	PUNCT
cana-4248	215	26	significantly	significantly	ADV
cana-4248	215	27	outperform	outperform	VERB
cana-4248	215	28	traditional	traditional	ADJ
cana-4248	215	29	machine	machine	NOUN
cana-4248	215	30	learning	learn	VERB
cana-4248	215	31	techniques	technique	NOUN
cana-4248	215	32	like	like	ADP
cana-4248	215	33	svm	svm	PROPN
cana-4248	215	34	and	and	CCONJ
cana-4248	215	35	mlp	mlp	NOUN
cana-4248	215	36	in	in	ADP
cana-4248	215	37	detecting	detect	VERB
cana-4248	215	38	arrhythmias	arrhythmia	NOUN
cana-4248	215	39	from	from	ADP
cana-4248	215	40	ecg	ecg	PROPN
cana-4248	215	41	data.the	data.the	DET
cana-4248	215	42	following	follow	VERB
cana-4248	215	43	table	table	NOUN
cana-4248	215	44	summarizes	summarize	VERB
cana-4248	215	45	the	the	DET
cana-4248	215	46	performance	performance	NOUN
cana-4248	215	47	metrics	metric	NOUN
cana-4248	215	48	for	for	ADP
cana-4248	215	49	each	each	DET
cana-4248	215	50	model	model	NOUN
cana-4248	215	51	:	:	PUNCT
cana-4248	215	52	table.3	table.3	SCONJ
cana-4248	215	53	comparison	comparison	NOUN
cana-4248	215	54	of	of	ADP
cana-4248	215	55	algorithm	algorithm	NOUN
cana-4248	215	56	results	result	VERB
cana-4248	215	57	model	model	NOUN
cana-4248	215	58	accuracy	accuracy	NOUN
cana-4248	215	59	precision	precision	NOUN
cana-4248	215	60	recall	recall	VERB
cana-4248	215	61	f1	f1	NOUN
cana-4248	215	62	-	-	PUNCT
cana-4248	215	63	score	score	NOUN
cana-4248	215	64	svm	svm	NOUN
cana-4248	215	65	71	71	NUM
cana-4248	215	66	%	%	NOUN
cana-4248	215	67	0.97	0.97	NUM
cana-4248	215	68	0.69	0.69	NUM
cana-4248	215	69	0.80	0.80	NUM
cana-4248	215	70	mlp	mlp	NOUN
cana-4248	215	71	93	93	NUM
cana-4248	215	72	%	%	NOUN
cana-4248	215	73	0.99	0.99	NUM
cana-4248	215	74	0.92	0.92	NUM
cana-4248	215	75	0.95	0.95	NUM
cana-4248	215	76	cnn	cnn	PROPN
cana-4248	215	77	97	97	NUM
cana-4248	215	78	%	%	NOUN
cana-4248	215	79	0.96	0.96	NUM
cana-4248	215	80	0.95	0.95	NUM
cana-4248	215	81	0.96	0.96	NUM
cana-4248	215	82	rnn	rnn	NOUN
cana-4248	215	83	99	99	NUM
cana-4248	215	84	%	%	NOUN
cana-4248	216	1	0.99	0.99	NUM
cana-4248	216	2	0.99	0.99	NUM
cana-4248	216	3	0.99	0.99	NUM
cana-4248	216	4	cnn+rnn	cnn+rnn	ADP
cana-4248	216	5	(	(	PUNCT
cana-4248	216	6	attention	attention	NOUN
cana-4248	216	7	model	model	NOUN
cana-4248	216	8	)	)	PUNCT
cana-4248	216	9	99	99	NUM
cana-4248	216	10	%	%	NOUN
cana-4248	216	11	0.99	0.99	NUM
cana-4248	216	12	0.99	0.99	NUM
cana-4248	216	13	0.98	0.98	NUM
cana-4248	216	14	the	the	DET
cana-4248	216	15	results	result	NOUN
cana-4248	216	16	demonstrate	demonstrate	VERB
cana-4248	216	17	that	that	SCONJ
cana-4248	216	18	the	the	DET
cana-4248	216	19	rnn	rnn	NOUN
cana-4248	216	20	achieves	achieve	VERB
cana-4248	216	21	the	the	DET
cana-4248	216	22	highest	high	ADJ
cana-4248	216	23	accuracy	accuracy	NOUN
cana-4248	216	24	of	of	ADP
cana-4248	216	25	99	99	NUM
cana-4248	216	26	%	%	NOUN
cana-4248	216	27	,	,	PUNCT
cana-4248	216	28	precision	precision	NOUN
cana-4248	216	29	of	of	ADP
cana-4248	216	30	0.99	0.99	NUM
cana-4248	216	31	,	,	PUNCT
cana-4248	216	32	recall	recall	NOUN
cana-4248	216	33	of	of	ADP
cana-4248	216	34	0.99	0.99	NUM
cana-4248	216	35	,	,	PUNCT
cana-4248	216	36	and	and	CCONJ
cana-4248	216	37	f1	f1	NOUN
cana-4248	216	38	-	-	PUNCT
cana-4248	216	39	score	score	NOUN
cana-4248	216	40	of	of	ADP
cana-4248	216	41	0.99	0.99	NUM
cana-4248	216	42	.	.	PUNCT
cana-4248	217	1	this	this	PRON
cana-4248	217	2	underscores	underscore	VERB
cana-4248	217	3	the	the	DET
cana-4248	217	4	potential	potential	NOUN
cana-4248	217	5	of	of	ADP
cana-4248	217	6	rnns	rnn	NOUN
cana-4248	217	7	in	in	ADP
cana-4248	217	8	accurately	accurately	ADV
cana-4248	217	9	identifying	identify	VERB
cana-4248	217	10	arrhythmias	arrhythmia	NOUN
cana-4248	217	11	from	from	ADP
cana-4248	217	12	ecg	ecg	PROPN
cana-4248	217	13	recordings	recording	NOUN
cana-4248	217	14	.	.	PUNCT
cana-4248	218	1	the	the	DET
cana-4248	218	2	cnn	cnn	PROPN
cana-4248	218	3	and	and	CCONJ
cana-4248	218	4	mlp	mlp	NOUN
cana-4248	218	5	models	model	NOUN
cana-4248	218	6	also	also	ADV
cana-4248	218	7	perform	perform	VERB
cana-4248	218	8	well	well	ADV
cana-4248	218	9	,	,	PUNCT
cana-4248	218	10	showing	show	VERB
cana-4248	218	11	significant	significant	ADJ
cana-4248	218	12	improvements	improvement	NOUN
cana-4248	218	13	over	over	ADP
cana-4248	218	14	the	the	DET
cana-4248	218	15	svm	svm	PROPN
cana-4248	218	16	baseline	baseline	NOUN
cana-4248	218	17	.	.	PUNCT
cana-4248	219	1	the	the	DET
cana-4248	219	2	superior	superior	ADJ
cana-4248	219	3	performance	performance	NOUN
cana-4248	219	4	of	of	ADP
cana-4248	219	5	deep	deep	ADJ
cana-4248	219	6	learning	learning	NOUN
cana-4248	219	7	models	model	NOUN
cana-4248	219	8	highlights	highlight	VERB
cana-4248	219	9	their	their	PRON
cana-4248	219	10	capacity	capacity	NOUN
cana-4248	219	11	to	to	PART
cana-4248	219	12	analyze	analyze	VERB
cana-4248	219	13	complex	complex	ADJ
cana-4248	219	14	patterns	pattern	NOUN
cana-4248	219	15	in	in	ADP
cana-4248	219	16	ecg	ecg	PROPN
cana-4248	219	17	data	data	PROPN
cana-4248	219	18	,	,	PUNCT
cana-4248	219	19	providing	provide	VERB
cana-4248	219	20	a	a	DET
cana-4248	219	21	robust	robust	ADJ
cana-4248	219	22	solution	solution	NOUN
cana-4248	219	23	for	for	ADP
cana-4248	219	24	automatic	automatic	ADJ
cana-4248	219	25	arrhythmia	arrhythmia	NOUN
cana-4248	219	26	detection	detection	NOUN
cana-4248	219	27	.	.	PUNCT
cana-4248	220	1	figure.9	figure.9	NOUN
cana-4248	220	2	comparison	comparison	NOUN
cana-4248	220	3	of	of	ADP
cana-4248	220	4	algorithms	algorithms	NOUN
cana-4248	220	5	graph	graph	NOUN
cana-4248	220	6	communications	communication	NOUN
cana-4248	220	7	on	on	ADP
cana-4248	220	8	applied	apply	VERB
cana-4248	220	9	nonlinear	nonlinear	ADJ
cana-4248	220	10	analysis	analysis	NOUN
cana-4248	220	11	issn	issn	NOUN
cana-4248	220	12	:	:	PUNCT
cana-4248	220	13	1074	1074	NUM
cana-4248	220	14	-	-	PUNCT
cana-4248	220	15	133x	133x	NUM
cana-4248	220	16	vol	vol	NOUN
cana-4248	220	17	32	32	NUM
cana-4248	220	18	no	no	NOUN
cana-4248	220	19	.	.	PUNCT
cana-4248	221	1	9s	9s	NUM
cana-4248	221	2	(	(	PUNCT
cana-4248	221	3	2025	2025	NUM
cana-4248	221	4	)	)	PUNCT
cana-4248	221	5	1602	1602	NUM
cana-4248	221	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	222	1	the	the	DET
cana-4248	222	2	bar	bar	NOUN
cana-4248	222	3	graph	graph	NOUN
cana-4248	222	4	compares	compare	VERB
cana-4248	222	5	the	the	DET
cana-4248	222	6	performance	performance	NOUN
cana-4248	222	7	metrics	metric	NOUN
cana-4248	222	8	accuracy	accuracy	NOUN
cana-4248	222	9	,	,	PUNCT
cana-4248	222	10	precision	precision	NOUN
cana-4248	222	11	,	,	PUNCT
cana-4248	222	12	recall	recall	NOUN
cana-4248	222	13	,	,	PUNCT
cana-4248	222	14	and	and	CCONJ
cana-4248	222	15	f1	f1	NOUN
cana-4248	222	16	-	-	PUNCT
cana-4248	222	17	score	score	NOUN
cana-4248	222	18	of	of	ADP
cana-4248	222	19	different	different	ADJ
cana-4248	222	20	models	model	NOUN
cana-4248	222	21	(	(	PUNCT
cana-4248	222	22	svm	svm	PROPN
cana-4248	222	23	,	,	PUNCT
cana-4248	222	24	mlp	mlp	PROPN
cana-4248	222	25	,	,	PUNCT
cana-4248	222	26	cnn	cnn	PROPN
cana-4248	222	27	,	,	PUNCT
cana-4248	222	28	rnn	rnn	PROPN
cana-4248	222	29	,	,	PUNCT
cana-4248	222	30	and	and	CCONJ
cana-4248	222	31	cnn+rnn	cnn+rnn	VERB
cana-4248	222	32	attention	attention	NOUN
cana-4248	222	33	model	model	NOUN
cana-4248	222	34	)	)	PUNCT
cana-4248	222	35	in	in	ADP
cana-4248	222	36	detecting	detect	VERB
cana-4248	222	37	arrhythmias	arrhythmia	NOUN
cana-4248	222	38	from	from	ADP
cana-4248	222	39	ecg	ecg	PROPN
cana-4248	222	40	data	datum	NOUN
cana-4248	222	41	.	.	PUNCT
cana-4248	223	1	it	it	PRON
cana-4248	223	2	highlights	highlight	VERB
cana-4248	223	3	that	that	SCONJ
cana-4248	223	4	deep	deep	ADJ
cana-4248	223	5	learning	learning	NOUN
cana-4248	223	6	models	model	NOUN
cana-4248	223	7	generally	generally	ADV
cana-4248	223	8	outperform	outperform	VERB
cana-4248	223	9	traditional	traditional	ADJ
cana-4248	223	10	machine	machine	NOUN
cana-4248	223	11	learning	learn	VERB
cana-4248	223	12	techniques	technique	NOUN
cana-4248	223	13	across	across	ADP
cana-4248	223	14	all	all	DET
cana-4248	223	15	metrics	metric	NOUN
cana-4248	223	16	.	.	PUNCT
cana-4248	224	1	5.conclusion	5.conclusion	NUM
cana-4248	224	2	the	the	DET
cana-4248	224	3	revolutionary	revolutionary	ADJ
cana-4248	224	4	potential	potential	NOUN
cana-4248	224	5	of	of	ADP
cana-4248	224	6	deep	deep	ADJ
cana-4248	224	7	learning	learning	NOUN
cana-4248	224	8	techniques	technique	NOUN
cana-4248	224	9	in	in	ADP
cana-4248	224	10	transforming	transform	VERB
cana-4248	224	11	the	the	DET
cana-4248	224	12	identification	identification	NOUN
cana-4248	224	13	of	of	ADP
cana-4248	224	14	arrhythmias	arrhythmia	NOUN
cana-4248	224	15	from	from	ADP
cana-4248	224	16	ecg	ecg	PROPN
cana-4248	224	17	records	record	NOUN
cana-4248	224	18	is	be	AUX
cana-4248	224	19	highlighted	highlight	VERB
cana-4248	224	20	by	by	ADP
cana-4248	224	21	this	this	DET
cana-4248	224	22	work	work	NOUN
cana-4248	224	23	.	.	PUNCT
cana-4248	225	1	through	through	ADP
cana-4248	225	2	model	model	NOUN
cana-4248	225	3	comparison	comparison	NOUN
cana-4248	225	4	,	,	PUNCT
cana-4248	225	5	we	we	PRON
cana-4248	225	6	show	show	VERB
cana-4248	225	7	that	that	SCONJ
cana-4248	225	8	recurrent	recurrent	ADJ
cana-4248	225	9	neural	neural	ADJ
cana-4248	225	10	networks	network	NOUN
cana-4248	225	11	(	(	PUNCT
cana-4248	225	12	rnns	rnns	NOUN
cana-4248	225	13	)	)	PUNCT
cana-4248	225	14	perform	perform	VERB
cana-4248	225	15	better	well	ADV
cana-4248	225	16	at	at	ADP
cana-4248	225	17	detecting	detect	VERB
cana-4248	225	18	irregular	irregular	ADJ
cana-4248	225	19	heartbeats	heartbeat	NOUN
cana-4248	225	20	,	,	PUNCT
cana-4248	225	21	with	with	ADP
cana-4248	225	22	99	99	NUM
cana-4248	225	23	%	%	NOUN
cana-4248	225	24	accuracy	accuracy	NOUN
cana-4248	225	25	,	,	PUNCT
cana-4248	225	26	0.99	0.99	NUM
cana-4248	225	27	precision	precision	NOUN
cana-4248	225	28	,	,	PUNCT
cana-4248	225	29	0.99	0.99	NUM
cana-4248	225	30	recall	recall	NOUN
cana-4248	225	31	,	,	PUNCT
cana-4248	225	32	and	and	CCONJ
cana-4248	225	33	0.99	0.99	NUM
cana-4248	225	34	f1	f1	NOUN
cana-4248	225	35	-	-	PUNCT
cana-4248	225	36	score	score	NOUN
cana-4248	225	37	.	.	PUNCT
cana-4248	226	1	the	the	DET
cana-4248	226	2	results	result	NOUN
cana-4248	226	3	demonstrate	demonstrate	VERB
cana-4248	226	4	the	the	DET
cana-4248	226	5	superiority	superiority	NOUN
cana-4248	226	6	of	of	ADP
cana-4248	226	7	deep	deep	ADJ
cana-4248	226	8	learning	learning	NOUN
cana-4248	226	9	approaches	approach	NOUN
cana-4248	226	10	—	—	PUNCT
cana-4248	226	11	in	in	ADP
cana-4248	226	12	particular	particular	ADJ
cana-4248	226	13	,	,	PUNCT
cana-4248	226	14	rnns	rnn	NOUN
cana-4248	226	15	—	—	PUNCT
cana-4248	226	16	over	over	ADP
cana-4248	226	17	conventional	conventional	ADJ
cana-4248	226	18	techniques	technique	NOUN
cana-4248	226	19	for	for	ADP
cana-4248	226	20	arrhythmia	arrhythmia	NOUN
cana-4248	226	21	identification	identification	NOUN
cana-4248	226	22	,	,	PUNCT
cana-4248	226	23	such	such	ADJ
cana-4248	226	24	as	as	ADP
cana-4248	226	25	support	support	NOUN
cana-4248	226	26	vector	vector	NOUN
cana-4248	226	27	machines	machine	NOUN
cana-4248	226	28	(	(	PUNCT
cana-4248	226	29	svm	svm	PROPN
cana-4248	226	30	)	)	PUNCT
cana-4248	226	31	.	.	PUNCT
cana-4248	227	1	deep	deep	ADJ
cana-4248	227	2	learning	learning	NOUN
cana-4248	227	3	applications	application	NOUN
cana-4248	227	4	lead	lead	VERB
cana-4248	227	5	to	to	ADP
cana-4248	227	6	dramatically	dramatically	ADV
cana-4248	227	7	better	well	ADV
cana-4248	227	8	patient	patient	ADJ
cana-4248	227	9	outcomes	outcome	NOUN
cana-4248	227	10	and	and	CCONJ
cana-4248	227	11	less	less	ADJ
cana-4248	227	12	strain	strain	NOUN
cana-4248	227	13	on	on	ADP
cana-4248	227	14	healthcare	healthcare	NOUN
cana-4248	227	15	systems	system	NOUN
cana-4248	227	16	by	by	ADP
cana-4248	227	17	enabling	enable	VERB
cana-4248	227	18	real	real	ADJ
cana-4248	227	19	-	-	PUNCT
cana-4248	227	20	time	time	NOUN
cana-4248	227	21	monitoring	monitoring	NOUN
cana-4248	227	22	and	and	CCONJ
cana-4248	227	23	early	early	ADJ
cana-4248	227	24	intervention	intervention	NOUN
cana-4248	227	25	in	in	ADP
cana-4248	227	26	addition	addition	NOUN
cana-4248	227	27	to	to	ADP
cana-4248	227	28	improving	improve	VERB
cana-4248	227	29	diagnosis	diagnosis	NOUN
cana-4248	227	30	accuracy	accuracy	NOUN
cana-4248	227	31	.	.	PUNCT
cana-4248	228	1	through	through	ADP
cana-4248	228	2	a	a	DET
cana-4248	228	3	methodical	methodical	ADJ
cana-4248	228	4	investigation	investigation	NOUN
cana-4248	228	5	of	of	ADP
cana-4248	228	6	many	many	ADJ
cana-4248	228	7	deep	deep	ADJ
cana-4248	228	8	learning	learning	NOUN
cana-4248	228	9	models	model	NOUN
cana-4248	228	10	using	use	VERB
cana-4248	228	11	artificial	artificial	ADJ
cana-4248	228	12	and	and	CCONJ
cana-4248	228	13	real	real	ADJ
cana-4248	228	14	-	-	PUNCT
cana-4248	228	15	world	world	NOUN
cana-4248	228	16	data	datum	NOUN
cana-4248	228	17	,	,	PUNCT
cana-4248	228	18	the	the	DET
cana-4248	228	19	work	work	NOUN
cana-4248	228	20	clarifies	clarify	VERB
cana-4248	228	21	the	the	DET
cana-4248	228	22	effectiveness	effectiveness	NOUN
cana-4248	228	23	of	of	ADP
cana-4248	228	24	automated	automate	VERB
cana-4248	228	25	methods	method	NOUN
cana-4248	228	26	in	in	ADP
cana-4248	228	27	surmounting	surmount	VERB
cana-4248	228	28	the	the	DET
cana-4248	228	29	drawbacks	drawback	NOUN
cana-4248	228	30	of	of	ADP
cana-4248	228	31	human	human	ADJ
cana-4248	228	32	diagnosis	diagnosis	NOUN
cana-4248	228	33	.	.	PUNCT
cana-4248	229	1	particularly	particularly	ADV
cana-4248	229	2	noteworthy	noteworthy	ADJ
cana-4248	229	3	is	be	AUX
cana-4248	229	4	the	the	DET
cana-4248	229	5	demonstrated	demonstrate	VERB
cana-4248	229	6	effectiveness	effectiveness	NOUN
cana-4248	229	7	of	of	ADP
cana-4248	229	8	recurrent	recurrent	ADJ
cana-4248	229	9	neural	neural	ADJ
cana-4248	229	10	networks	network	NOUN
cana-4248	229	11	(	(	PUNCT
cana-4248	229	12	rnns	rnns	PROPN
cana-4248	229	13	)	)	PUNCT
cana-4248	229	14	in	in	ADP
cana-4248	229	15	enhancing	enhance	VERB
cana-4248	229	16	accuracy	accuracy	NOUN
cana-4248	229	17	and	and	CCONJ
cana-4248	229	18	efficiency	efficiency	NOUN
cana-4248	229	19	,	,	PUNCT
cana-4248	229	20	thus	thus	ADV
cana-4248	229	21	paving	pave	VERB
cana-4248	229	22	the	the	DET
cana-4248	229	23	way	way	NOUN
cana-4248	229	24	for	for	ADP
cana-4248	229	25	improved	improved	ADJ
cana-4248	229	26	patient	patient	ADJ
cana-4248	229	27	outcomes	outcome	NOUN
cana-4248	229	28	and	and	CCONJ
cana-4248	229	29	streamlined	streamline	VERB
cana-4248	229	30	clinical	clinical	ADJ
cana-4248	229	31	workflows	workflow	NOUN
cana-4248	229	32	.	.	PUNCT
cana-4248	230	1	the	the	DET
cana-4248	230	2	findings	finding	NOUN
cana-4248	230	3	of	of	ADP
cana-4248	230	4	this	this	DET
cana-4248	230	5	study	study	NOUN
cana-4248	230	6	underscore	underscore	VERB
cana-4248	230	7	the	the	DET
cana-4248	230	8	increasing	increase	VERB
cana-4248	230	9	challenge	challenge	NOUN
cana-4248	230	10	in	in	ADP
cana-4248	230	11	accurately	accurately	ADV
cana-4248	230	12	identifying	identify	VERB
cana-4248	230	13	arrhythmias	arrhythmia	NOUN
cana-4248	230	14	,	,	PUNCT
cana-4248	230	15	emphasizing	emphasize	VERB
cana-4248	230	16	the	the	DET
cana-4248	230	17	necessity	necessity	NOUN
cana-4248	230	18	of	of	ADP
cana-4248	230	19	employing	employ	VERB
cana-4248	230	20	cuttingedge	cuttingedge	ADJ
cana-4248	230	21	technology	technology	NOUN
cana-4248	230	22	in	in	ADP
cana-4248	230	23	cardiac	cardiac	ADJ
cana-4248	230	24	care	care	NOUN
cana-4248	230	25	.	.	PUNCT
cana-4248	231	1	furthermore	furthermore	ADV
cana-4248	231	2	,	,	PUNCT
cana-4248	231	3	they	they	PRON
cana-4248	231	4	emphasize	emphasize	VERB
cana-4248	231	5	the	the	DET
cana-4248	231	6	urgent	urgent	ADJ
cana-4248	231	7	requirement	requirement	NOUN
cana-4248	231	8	for	for	ADP
cana-4248	231	9	scalable	scalable	ADJ
cana-4248	231	10	,	,	PUNCT
cana-4248	231	11	automated	automate	VERB
cana-4248	231	12	solutions	solution	NOUN
cana-4248	231	13	to	to	PART
cana-4248	231	14	address	address	VERB
cana-4248	231	15	this	this	DET
cana-4248	231	16	challenge	challenge	NOUN
cana-4248	231	17	effectively	effectively	ADV
cana-4248	231	18	.	.	PUNCT
cana-4248	232	1	future	future	ADJ
cana-4248	232	2	enhancement	enhancement	NOUN
cana-4248	232	3	in	in	ADP
cana-4248	232	4	the	the	DET
cana-4248	232	5	future	future	NOUN
cana-4248	232	6	,	,	PUNCT
cana-4248	232	7	it	it	PRON
cana-4248	232	8	's	be	AUX
cana-4248	232	9	crucial	crucial	ADJ
cana-4248	232	10	to	to	PART
cana-4248	232	11	concentrate	concentrate	VERB
cana-4248	232	12	on	on	ADP
cana-4248	232	13	enhancing	enhance	VERB
cana-4248	232	14	and	and	CCONJ
cana-4248	232	15	optimizing	optimize	VERB
cana-4248	232	16	deep	deep	ADJ
cana-4248	232	17	learning	learning	NOUN
cana-4248	232	18	models	model	NOUN
cana-4248	232	19	for	for	ADP
cana-4248	232	20	practical	practical	ADJ
cana-4248	232	21	clinical	clinical	ADJ
cana-4248	232	22	use	use	NOUN
cana-4248	232	23	.	.	PUNCT
cana-4248	233	1	additionally	additionally	ADV
cana-4248	233	2	,	,	PUNCT
cana-4248	233	3	efforts	effort	NOUN
cana-4248	233	4	to	to	PART
cana-4248	233	5	integrate	integrate	VERB
cana-4248	233	6	these	these	DET
cana-4248	233	7	automated	automate	VERB
cana-4248	233	8	detection	detection	NOUN
cana-4248	233	9	systems	system	NOUN
cana-4248	233	10	into	into	ADP
cana-4248	233	11	existing	exist	VERB
cana-4248	233	12	healthcare	healthcare	NOUN
cana-4248	233	13	infrastructure	infrastructure	NOUN
cana-4248	233	14	should	should	AUX
cana-4248	233	15	be	be	AUX
cana-4248	233	16	prioritized	prioritize	VERB
cana-4248	233	17	to	to	PART
cana-4248	233	18	ensure	ensure	VERB
cana-4248	233	19	widespread	widespread	ADJ
cana-4248	233	20	adoption	adoption	NOUN
cana-4248	233	21	and	and	CCONJ
cana-4248	233	22	maximum	maximum	ADJ
cana-4248	233	23	impact	impact	NOUN
cana-4248	233	24	.	.	PUNCT
cana-4248	234	1	ultimately	ultimately	ADV
cana-4248	234	2	,	,	PUNCT
cana-4248	234	3	by	by	ADP
cana-4248	234	4	using	use	VERB
cana-4248	234	5	deep	deep	ADJ
cana-4248	234	6	learning	learning	NOUN
cana-4248	234	7	's	's	PART
cana-4248	234	8	features	feature	NOUN
cana-4248	234	9	,	,	PUNCT
cana-4248	234	10	the	the	DET
cana-4248	234	11	field	field	NOUN
cana-4248	234	12	of	of	ADP
cana-4248	234	13	cardiology	cardiology	NOUN
cana-4248	234	14	stands	stand	VERB
cana-4248	234	15	poised	poise	VERB
cana-4248	234	16	to	to	PART
cana-4248	234	17	usher	usher	VERB
cana-4248	234	18	in	in	ADP
cana-4248	234	19	a	a	DET
cana-4248	234	20	new	new	ADJ
cana-4248	234	21	era	era	NOUN
cana-4248	234	22	of	of	ADP
cana-4248	234	23	precision	precision	NOUN
cana-4248	234	24	medicine	medicine	NOUN
cana-4248	234	25	,	,	PUNCT
cana-4248	234	26	where	where	SCONJ
cana-4248	234	27	timely	timely	ADJ
cana-4248	234	28	and	and	CCONJ
cana-4248	234	29	accurate	accurate	ADJ
cana-4248	234	30	diagnosis	diagnosis	NOUN
cana-4248	234	31	of	of	ADP
cana-4248	234	32	arrhythmias	arrhythmia	NOUN
cana-4248	234	33	can	can	AUX
cana-4248	234	34	significantly	significantly	ADV
cana-4248	234	35	improve	improve	VERB
cana-4248	234	36	patient	patient	ADJ
cana-4248	234	37	outcomes	outcome	NOUN
cana-4248	234	38	and	and	CCONJ
cana-4248	234	39	quality	quality	NOUN
cana-4248	234	40	of	of	ADP
cana-4248	234	41	care	care	NOUN
cana-4248	234	42	.	.	PUNCT
cana-4248	235	1	references	reference	NOUN
cana-4248	235	2	:	:	PUNCT
cana-4248	235	3	1	1	X
cana-4248	235	4	.	.	X
cana-4248	235	5	guo	guo	PROPN
cana-4248	235	6	,	,	PUNCT
cana-4248	235	7	j.	j.	PROPN
cana-4248	235	8	,	,	PUNCT
cana-4248	235	9	li	li	PROPN
cana-4248	235	10	,	,	PUNCT
cana-4248	235	11	w.	w.	PROPN
cana-4248	235	12	,	,	PUNCT
cana-4248	235	13	&	&	CCONJ
cana-4248	235	14	huang	huang	PROPN
cana-4248	235	15	,	,	PUNCT
cana-4248	235	16	h.	h.	PROPN
cana-4248	235	17	(	(	PUNCT
cana-4248	235	18	2023	2023	NUM
cana-4248	235	19	)	)	PUNCT
cana-4248	235	20	.	.	PUNCT
cana-4248	236	1	an	an	DET
cana-4248	236	2	ecg	ecg	PROPN
cana-4248	236	3	detection	detection	NOUN
cana-4248	236	4	device	device	NOUN
cana-4248	236	5	based	base	VERB
cana-4248	236	6	on	on	ADP
cana-4248	236	7	convolutional	convolutional	ADJ
cana-4248	236	8	neural	neural	ADJ
cana-4248	236	9	network	network	NOUN
cana-4248	236	10	.	.	PUNCT
cana-4248	237	1	2023	2023	NUM
cana-4248	237	2	8th	8th	ADJ
cana-4248	237	3	international	international	ADJ
cana-4248	237	4	conference	conference	NOUN
cana-4248	237	5	on	on	ADP
cana-4248	237	6	intelligent	intelligent	ADJ
cana-4248	237	7	computing	computing	NOUN
cana-4248	237	8	and	and	CCONJ
cana-4248	237	9	signal	signal	NOUN
cana-4248	237	10	processing	processing	NOUN
cana-4248	237	11	(	(	PUNCT
cana-4248	237	12	icsp),doi	icsp),doi	PROPN
cana-4248	237	13	:	:	PUNCT
cana-4248	237	14	https://ieeexplore.ieee.org/document/10248472,ieee	https://ieeexplore.ieee.org/document/10248472,ieee	NOUN
cana-4248	237	15	.	.	NOUN
cana-4248	238	1	2	2	X
cana-4248	238	2	.	.	X
cana-4248	238	3	barbosa	barbosa	PROPN
cana-4248	238	4	,	,	PUNCT
cana-4248	238	5	l.c.n	l.c.n	NOUN
cana-4248	238	6	.	.	PUNCT
cana-4248	238	7	,	,	PUNCT
cana-4248	238	8	real	real	ADJ
cana-4248	238	9	,	,	PUNCT
cana-4248	238	10	a.	a.	NOUN
cana-4248	238	11	,	,	PUNCT
cana-4248	238	12	&	&	CCONJ
cana-4248	238	13	moreira	moreira	PROPN
cana-4248	238	14	,	,	PUNCT
cana-4248	238	15	a.h.j	a.h.j	PROPN
cana-4248	238	16	.	.	PUNCT
cana-4248	239	1	(	(	PUNCT
cana-4248	239	2	2022	2022	NUM
cana-4248	239	3	)	)	PUNCT
cana-4248	239	4	.	.	PUNCT
cana-4248	240	1	ecg	ecg	PROPN
cana-4248	240	2	classification	classification	NOUN
cana-4248	240	3	with	with	ADP
cana-4248	240	4	deep	deep	ADJ
cana-4248	240	5	learning	learning	NOUN
cana-4248	240	6	models	model	NOUN
cana-4248	240	7	–	–	PUNCT
cana-4248	240	8	a	a	DET
cana-4248	240	9	comparative	comparative	ADJ
cana-4248	240	10	study.doi	study.doi	NOUN
cana-4248	240	11	:	:	PUNCT
cana-4248	240	12	https://ieeexplore.ieee.org/document/9991600,ieee	https://ieeexplore.ieee.org/document/9991600,ieee	NOUN
cana-4248	240	13	3	3	NUM
cana-4248	240	14	.	.	PUNCT
cana-4248	240	15	weimann	weimann	PROPN
cana-4248	240	16	,	,	PUNCT
cana-4248	240	17	k.	k.	PROPN
cana-4248	240	18	,	,	PUNCT
cana-4248	240	19	&	&	CCONJ
cana-4248	240	20	conrad	conrad	PROPN
cana-4248	240	21	,	,	PUNCT
cana-4248	240	22	t.o.f	t.o.f	NOUN
cana-4248	240	23	.	.	PUNCT
cana-4248	240	24	(	(	PUNCT
cana-4248	240	25	2021	2021	NUM
cana-4248	240	26	)	)	PUNCT
cana-4248	240	27	.	.	PUNCT
cana-4248	241	1	transfer	transfer	NOUN
cana-4248	241	2	learning	learning	NOUN
cana-4248	241	3	for	for	ADP
cana-4248	241	4	ecg	ecg	PROPN
cana-4248	241	5	classification	classification	NOUN
cana-4248	241	6	.	.	PUNCT
cana-4248	242	1	scientific	scientific	ADJ
cana-4248	242	2	reports	report	NOUN
cana-4248	242	3	,	,	PUNCT
cana-4248	242	4	11	11	NUM
cana-4248	242	5	,	,	PUNCT
cana-4248	242	6	article	article	NOUN
cana-4248	242	7	4352.doi:"10.1038	4352.doi:"10.1038	PROPN
cana-4248	242	8	/	/	SYM
cana-4248	242	9	s41598	s41598	NOUN
cana-4248	242	10	-	-	PUNCT
cana-4248	242	11	021	021	NUM
cana-4248	242	12	-	-	PUNCT
cana-4248	242	13	84374	84374	NUM
cana-4248	242	14	-	-	SYM
cana-4248	242	15	8	8	NUM
cana-4248	242	16	"	"	PUNCT
cana-4248	242	17	.	.	PUNCT
cana-4248	243	1	4	4	X
cana-4248	243	2	.	.	X
cana-4248	243	3	ebrahimi	ebrahimi	PROPN
cana-4248	243	4	,	,	PUNCT
cana-4248	243	5	z.	z.	PROPN
cana-4248	243	6	,	,	PUNCT
cana-4248	243	7	loni	loni	PROPN
cana-4248	243	8	,	,	PUNCT
cana-4248	243	9	m.	m.	NOUN
cana-4248	243	10	,	,	PUNCT
cana-4248	243	11	daneshtalab	daneshtalab	NOUN
cana-4248	243	12	,	,	PUNCT
cana-4248	243	13	m.	m.	NOUN
cana-4248	243	14	,	,	PUNCT
cana-4248	243	15	&	&	CCONJ
cana-4248	243	16	gharehbaghi(2020	gharehbaghi(2020	PROPN
cana-4248	243	17	)	)	PUNCT
cana-4248	243	18	,	,	PUNCT
cana-4248	243	19	a	a	DET
cana-4248	243	20	review	review	NOUN
cana-4248	243	21	on	on	ADP
cana-4248	243	22	deep	deep	ADJ
cana-4248	243	23	learning	learning	NOUN
cana-4248	243	24	methods	method	NOUN
cana-4248	243	25	for	for	ADP
cana-4248	243	26	ecg	ecg	PROPN
cana-4248	243	27	arrhythmia	arrhythmia	NOUN
cana-4248	243	28	classification	classification	NOUN
cana-4248	243	29	.	.	PUNCT
cana-4248	244	1	doi	doi	NOUN
cana-4248	244	2	:	:	PUNCT
cana-4248	244	3	pii	pii	PROPN
cana-4248	244	4	/	/	SYM
cana-4248	244	5	s2590188520300123	s2590188520300123	NOUN
cana-4248	244	6	.	.	PUNCT
cana-4248	245	1	communications	communication	NOUN
cana-4248	245	2	on	on	ADP
cana-4248	245	3	applied	apply	VERB
cana-4248	245	4	nonlinear	nonlinear	ADJ
cana-4248	245	5	analysis	analysis	NOUN
cana-4248	245	6	issn	issn	NOUN
cana-4248	245	7	:	:	PUNCT
cana-4248	245	8	1074	1074	NUM
cana-4248	245	9	-	-	PUNCT
cana-4248	245	10	133x	133x	NUM
cana-4248	245	11	vol	vol	NOUN
cana-4248	245	12	32	32	NUM
cana-4248	245	13	no	no	NOUN
cana-4248	245	14	.	.	PUNCT
cana-4248	246	1	9s	9s	NUM
cana-4248	246	2	(	(	PUNCT
cana-4248	246	3	2025	2025	NUM
cana-4248	246	4	)	)	PUNCT
cana-4248	246	5	1603	1603	NUM
cana-4248	246	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4248	246	7	5	5	X
cana-4248	246	8	.	.	X
cana-4248	246	9	daneshtalab	daneshtalab	NOUN
cana-4248	246	10	,	,	PUNCT
cana-4248	246	11	m.	m.	NOUN
cana-4248	246	12	,	,	PUNCT
cana-4248	246	13	&	&	CCONJ
cana-4248	246	14	gharehbaghi	gharehbaghi	PROPN
cana-4248	246	15	,	,	PUNCT
cana-4248	246	16	a.	a.	NOUN
cana-4248	246	17	(	(	PUNCT
cana-4248	246	18	2020	2020	NUM
cana-4248	246	19	)	)	PUNCT
cana-4248	246	20	.	.	PUNCT
cana-4248	247	1	a	a	DET
cana-4248	247	2	review	review	NOUN
cana-4248	247	3	on	on	ADP
cana-4248	247	4	deep	deep	ADJ
cana-4248	247	5	learning	learning	NOUN
cana-4248	247	6	methods	method	NOUN
cana-4248	247	7	for	for	ADP
cana-4248	247	8	ecg	ecg	PROPN
cana-4248	247	9	arrhythmia	arrhythmia	PROPN
cana-4248	247	10	classification	classification	NOUN
cana-4248	247	11	.	.	PUNCT
cana-4248	248	1	journal	journal	PROPN
cana-4248	248	2	of	of	ADP
cana-4248	248	3	biomedical	biomedical	ADJ
cana-4248	248	4	informatics	informatic	NOUN
cana-4248	248	5	,	,	PUNCT
cana-4248	248	6	103	103	NUM
cana-4248	248	7	,	,	PUNCT
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cana-4248	252	16	.	.	PUNCT
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cana-4248	260	6	-	-	PUNCT
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cana-4248	260	10	.	.	PUNCT
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cana-4248	262	4	.	.	PUNCT
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cana-4248	267	18	.	.	PUNCT
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cana-4248	269	4	.	.	PUNCT
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cana-4248	292	3	2025	2025	NUM
cana-4248	292	4	)	)	PUNCT
cana-4248	292	5	1604	1604	NUM
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cana-4248	294	13	.	.	PUNCT
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cana-4248	295	2	trans	trans	PROPN
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cana-4248	296	4	.	.	PUNCT
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cana-4248	302	13	.	.	PUNCT
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cana-4248	307	27	.	.	PUNCT
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cana-4248	309	4	.	.	PUNCT
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cana-4248	310	6	-	-	PUNCT
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cana-4248	310	8	-	-	PUNCT
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cana-4248	317	1	j	j	PROPN
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cana-4248	319	1	doi:10.1007	doi:10.1007	PROPN
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cana-4248	320	4	:	:	PUNCT
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cana-4248	320	11	ph.d	ph.d	PROPN
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cana-4248	320	16	engineering	engineering	NOUN
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cana-4248	320	18	osmania	osmania	PROPN
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cana-4248	321	1	he	he	PRON
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cana-4248	321	3	his	his	PRON
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cana-4248	321	5	and	and	CCONJ
cana-4248	321	6	b.tech	b.tech	NOUN
cana-4248	321	7	in	in	ADP
cana-4248	321	8	cse	cse	PROPN
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cana-4248	322	13	.	.	PUNCT
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cana-4248	323	4	+	+	NUM
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cana-4248	324	6	in	in	ADP
cana-4248	324	7	computer	computer	NOUN
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cana-4248	324	15	year	year	NOUN
cana-4248	324	16	2011	2011	NUM
cana-4248	324	17	.	.	PUNCT
cana-4248	325	1	she	she	PRON
cana-4248	325	2	is	be	AUX
cana-4248	325	3	currently	currently	ADV
cana-4248	325	4	working	work	VERB
cana-4248	325	5	as	as	ADP
cana-4248	325	6	professor	professor	NOUN
cana-4248	325	7	in	in	ADP
cana-4248	325	8	cse	cse	PROPN
cana-4248	325	9	department	department	PROPN
cana-4248	325	10	in	in	ADP
cana-4248	325	11	mvsr	mvsr	NOUN
cana-4248	325	12	engineering	engineering	PROPN
cana-4248	325	13	college	college	PROPN
cana-4248	325	14	,	,	PUNCT
cana-4248	325	15	hyderabad	hyderabad	PROPN
cana-4248	325	16	.	.	PUNCT
cana-4248	326	1	she	she	PRON
cana-4248	326	2	has	have	VERB
cana-4248	326	3	22	22	NUM
cana-4248	326	4	+	+	NUM
cana-4248	326	5	years	year	NOUN
cana-4248	326	6	of	of	ADP
cana-4248	326	7	teaching	teaching	NOUN
cana-4248	326	8	,	,	PUNCT
cana-4248	326	9	research	research	NOUN
cana-4248	326	10	and	and	CCONJ
cana-4248	326	11	consultancy	consultancy	NOUN
cana-4248	326	12	experience	experience	NOUN
cana-4248	326	13	.	.	PUNCT
cana-4248	327	1	her	her	PRON
cana-4248	327	2	principal	principal	ADJ
cana-4248	327	3	areas	area	NOUN
cana-4248	327	4	of	of	ADP
cana-4248	327	5	research	research	NOUN
cana-4248	327	6	include	include	VERB
cana-4248	327	7	image	image	NOUN
cana-4248	327	8	processing	processing	NOUN
cana-4248	327	9	,	,	PUNCT
cana-4248	327	10	machine	machine	NOUN
cana-4248	327	11	learning	learning	NOUN
cana-4248	327	12	,	,	PUNCT
cana-4248	327	13	deep	deep	ADJ
cana-4248	327	14	learning	learning	NOUN
cana-4248	327	15	and	and	CCONJ
cana-4248	327	16	computer	computer	NOUN
cana-4248	327	17	vision	vision	NOUN
cana-4248	327	18	.	.	PUNCT
cana-4248	328	1	she	she	PRON
cana-4248	328	2	has	have	AUX
cana-4248	328	3	authored	author	VERB
cana-4248	328	4	/	/	SYM
cana-4248	328	5	co	co	VERB
cana-4248	328	6	-	-	VERB
cana-4248	328	7	authored	author	VERB
cana-4248	328	8	around	around	ADP
cana-4248	328	9	40	40	NUM
cana-4248	328	10	research	research	NOUN
cana-4248	328	11	publications	publication	NOUN
cana-4248	328	12	in	in	ADP
cana-4248	328	13	international	international	ADJ
cana-4248	328	14	conferences	conference	NOUN
cana-4248	328	15	and	and	CCONJ
cana-4248	328	16	journals	journal	NOUN
cana-4248	328	17	,	,	PUNCT
cana-4248	328	18	with	with	ADP
cana-4248	328	19	total	total	ADJ
cana-4248	328	20	citations	citation	NOUN
cana-4248	328	21	of	of	ADP
cana-4248	328	22	about	about	ADP
cana-4248	328	23	170	170	NUM
cana-4248	328	24	.	.	PUNCT