id	sid	tid	token	lemma	pos
cana-3101	1	1	communications	communication	NOUN
cana-3101	1	2	on	on	ADP
cana-3101	1	3	applied	apply	VERB
cana-3101	1	4	nonlinear	nonlinear	ADJ
cana-3101	1	5	analysis	analysis	NOUN
cana-3101	1	6	issn	issn	NOUN
cana-3101	1	7	:	:	PUNCT
cana-3101	1	8	1074	1074	NUM
cana-3101	1	9	-	-	PUNCT
cana-3101	1	10	133x	133x	NUM
cana-3101	1	11	vol	vol	NOUN
cana-3101	1	12	32	32	NUM
cana-3101	1	13	no	no	NOUN
cana-3101	1	14	.	.	PUNCT
cana-3101	2	1	5s	5s	NUM
cana-3101	2	2	(	(	PUNCT
cana-3101	2	3	2025	2025	NUM
cana-3101	2	4	)	)	PUNCT
cana-3101	2	5	303	303	NUM
cana-3101	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	2	7	rhythmic	rhythmic	ADJ
cana-3101	2	8	recognition	recognition	NOUN
cana-3101	2	9	:	:	PUNCT
cana-3101	2	10	harnessing	harness	VERB
cana-3101	2	11	deep	deep	ADJ
cana-3101	2	12	learning	learning	NOUN
cana-3101	2	13	for	for	ADP
cana-3101	2	14	cutting	cut	VERB
cana-3101	2	15	-	-	PUNCT
cana-3101	2	16	edge	edge	NOUN
cana-3101	2	17	ecg	ecg	PROPN
cana-3101	2	18	biometric	biometric	ADJ
cana-3101	2	19	authentication	authentication	NOUN
cana-3101	2	20	amit	amit	PROPN
cana-3101	2	21	kumar1	kumar1	PROPN
cana-3101	2	22	,	,	PUNCT
cana-3101	2	23	shashank	shashank	PROPN
cana-3101	2	24	bhardwaj2	bhardwaj2	PROPN
cana-3101	2	25	,	,	PUNCT
cana-3101	2	26	praveen	praveen	PROPN
cana-3101	2	27	kumar	kumar	PROPN
cana-3101	2	28	gupta*3	gupta*3	PROPN
cana-3101	2	29	,	,	PUNCT
cana-3101	2	30	nishant	nishant	ADJ
cana-3101	2	31	tripathi4	tripathi4	NOUN
cana-3101	2	32	,	,	PUNCT
cana-3101	2	33	vidushi5	vidushi5	NOUN
cana-3101	2	34	1	1	NUM
cana-3101	2	35	,	,	PUNCT
cana-3101	2	36	2	2	NUM
cana-3101	2	37	kiet	kiet	PROPN
cana-3101	2	38	group	group	NOUN
cana-3101	2	39	of	of	ADP
cana-3101	2	40	institutions	institution	NOUN
cana-3101	2	41	,	,	PUNCT
cana-3101	2	42	delhi	delhi	PROPN
cana-3101	2	43	-	-	PUNCT
cana-3101	2	44	ncr	ncr	PROPN
cana-3101	2	45	,	,	PUNCT
cana-3101	2	46	ghaziabad	ghaziabad	PROPN
cana-3101	2	47	,	,	PUNCT
cana-3101	2	48	india	india	PROPN
cana-3101	2	49	3school	3school	PROPN
cana-3101	2	50	of	of	ADP
cana-3101	2	51	computer	computer	NOUN
cana-3101	2	52	science	science	NOUN
cana-3101	2	53	and	and	CCONJ
cana-3101	2	54	engineering	engineering	PROPN
cana-3101	2	55	,	,	PUNCT
cana-3101	2	56	bennett	bennett	PROPN
cana-3101	2	57	university	university	PROPN
cana-3101	2	58	,	,	PUNCT
cana-3101	2	59	greater	great	ADJ
cana-3101	2	60	noida	noida	PROPN
cana-3101	2	61	4cyber	4cyber	NUM
cana-3101	2	62	physical	physical	ADJ
cana-3101	2	63	systems	system	NOUN
cana-3101	2	64	,	,	PUNCT
cana-3101	2	65	school	school	NOUN
cana-3101	2	66	of	of	ADP
cana-3101	2	67	computer	computer	NOUN
cana-3101	2	68	science	science	NOUN
cana-3101	2	69	and	and	CCONJ
cana-3101	2	70	engineering	engineering	NOUN
cana-3101	2	71	,	,	PUNCT
cana-3101	2	72	faculty	faculty	NOUN
cana-3101	2	73	of	of	ADP
cana-3101	2	74	engineering	engineering	NOUN
cana-3101	2	75	and	and	CCONJ
cana-3101	2	76	technology	technology	NOUN
cana-3101	2	77	,	,	PUNCT
cana-3101	2	78	jain	jain	PROPN
cana-3101	2	79	(	(	PUNCT
cana-3101	2	80	deemed	deem	VERB
cana-3101	2	81	-	-	PUNCT
cana-3101	2	82	to	to	PART
cana-3101	2	83	-	-	PUNCT
cana-3101	2	84	be	be	AUX
cana-3101	2	85	university	university	NOUN
cana-3101	2	86	)	)	PUNCT
cana-3101	2	87	,	,	PUNCT
cana-3101	2	88	bengaluru	bengaluru	PROPN
cana-3101	2	89	,	,	PUNCT
cana-3101	2	90	karnataka	karnataka	PROPN
cana-3101	2	91	5sciences	5sciences	PROPN
cana-3101	2	92	(	(	PUNCT
cana-3101	2	93	ncr	ncr	PROPN
cana-3101	2	94	)	)	PUNCT
cana-3101	2	95	christ	christ	PROPN
cana-3101	2	96	university	university	PROPN
cana-3101	2	97	,	,	PUNCT
cana-3101	2	98	bengaluru	bengaluru	PROPN
cana-3101	2	99	article	article	NOUN
cana-3101	2	100	history	history	NOUN
cana-3101	2	101	:	:	PUNCT
cana-3101	2	102	received	receive	VERB
cana-3101	2	103	:	:	PUNCT
cana-3101	2	104	08	08	NUM
cana-3101	2	105	-	-	SYM
cana-3101	2	106	10	10	NUM
cana-3101	2	107	-	-	PUNCT
cana-3101	2	108	2024	2024	NUM
cana-3101	2	109	revised	revise	VERB
cana-3101	2	110	:	:	PUNCT
cana-3101	2	111	27	27	NUM
cana-3101	2	112	-	-	SYM
cana-3101	2	113	11	11	NUM
cana-3101	2	114	-	-	PUNCT
cana-3101	2	115	2024	2024	NUM
cana-3101	2	116	accepted	accept	VERB
cana-3101	2	117	:	:	PUNCT
cana-3101	2	118	06	06	NUM
cana-3101	2	119	-	-	SYM
cana-3101	2	120	12	12	NUM
cana-3101	2	121	-	-	PUNCT
cana-3101	2	122	2024	2024	NUM
cana-3101	2	123	abstract	abstract	NOUN
cana-3101	2	124	:	:	PUNCT
cana-3101	2	125	machine	machine	NOUN
cana-3101	2	126	learning	learning	NOUN
cana-3101	2	127	(	(	PUNCT
cana-3101	2	128	ml	ml	NOUN
cana-3101	2	129	)	)	PUNCT
cana-3101	2	130	and	and	CCONJ
cana-3101	2	131	deep	deep	ADJ
cana-3101	2	132	learning	learning	NOUN
cana-3101	2	133	(	(	PUNCT
cana-3101	2	134	dl	dl	INTJ
cana-3101	2	135	)	)	PUNCT
cana-3101	2	136	are	be	AUX
cana-3101	2	137	essential	essential	ADJ
cana-3101	2	138	for	for	ADP
cana-3101	2	139	analysing	analyse	VERB
cana-3101	2	140	physiological	physiological	ADJ
cana-3101	2	141	signals	signal	NOUN
cana-3101	2	142	,	,	PUNCT
cana-3101	2	143	such	such	ADJ
cana-3101	2	144	as	as	ADP
cana-3101	2	145	electrocardiograms	electrocardiogram	NOUN
cana-3101	2	146	(	(	PUNCT
cana-3101	2	147	ecg	ecg	PROPN
cana-3101	2	148	)	)	PUNCT
cana-3101	2	149	,	,	PUNCT
cana-3101	2	150	which	which	PRON
cana-3101	2	151	can	can	AUX
cana-3101	2	152	be	be	AUX
cana-3101	2	153	continuously	continuously	ADV
cana-3101	2	154	collected	collect	VERB
cana-3101	2	155	without	without	ADP
cana-3101	2	156	requiring	require	VERB
cana-3101	2	157	specific	specific	ADJ
cana-3101	2	158	user	user	NOUN
cana-3101	2	159	engagement	engagement	NOUN
cana-3101	2	160	.	.	PUNCT
cana-3101	3	1	deep	deep	ADJ
cana-3101	3	2	and	and	CCONJ
cana-3101	3	3	machine	machine	NOUN
cana-3101	3	4	learning	learning	NOUN
cana-3101	3	5	demonstrate	demonstrate	VERB
cana-3101	3	6	the	the	DET
cana-3101	3	7	ability	ability	NOUN
cana-3101	3	8	to	to	PART
cana-3101	3	9	process	process	VERB
cana-3101	3	10	large	large	ADJ
cana-3101	3	11	volumes	volume	NOUN
cana-3101	3	12	of	of	ADP
cana-3101	3	13	complex	complex	ADJ
cana-3101	3	14	data	datum	NOUN
cana-3101	3	15	with	with	ADP
cana-3101	3	16	minimal	minimal	ADJ
cana-3101	3	17	human	human	ADJ
cana-3101	3	18	intervention	intervention	NOUN
cana-3101	3	19	,	,	PUNCT
cana-3101	3	20	thereby	thereby	ADV
cana-3101	3	21	contributing	contribute	VERB
cana-3101	3	22	to	to	ADP
cana-3101	3	23	their	their	PRON
cana-3101	3	24	popularity	popularity	NOUN
cana-3101	3	25	in	in	ADP
cana-3101	3	26	the	the	DET
cana-3101	3	27	health	health	NOUN
cana-3101	3	28	care	care	NOUN
cana-3101	3	29	sector	sector	NOUN
cana-3101	3	30	.	.	PUNCT
cana-3101	4	1	electrocardiograms	electrocardiogram	NOUN
cana-3101	4	2	(	(	PUNCT
cana-3101	4	3	ecg	ecg	PROPN
cana-3101	4	4	)	)	PUNCT
cana-3101	4	5	represent	represent	VERB
cana-3101	4	6	a	a	DET
cana-3101	4	7	contemporary	contemporary	ADJ
cana-3101	4	8	method	method	NOUN
cana-3101	4	9	of	of	ADP
cana-3101	4	10	biometric	biometric	ADJ
cana-3101	4	11	verification	verification	NOUN
cana-3101	4	12	closely	closely	ADV
cana-3101	4	13	linked	link	VERB
cana-3101	4	14	to	to	ADP
cana-3101	4	15	the	the	DET
cana-3101	4	16	distinctive	distinctive	ADJ
cana-3101	4	17	characteristics	characteristic	NOUN
cana-3101	4	18	of	of	ADP
cana-3101	4	19	an	an	DET
cana-3101	4	20	individual	individual	NOUN
cana-3101	4	21	's	's	PART
cana-3101	4	22	heartbeats	heartbeat	NOUN
cana-3101	4	23	.	.	PUNCT
cana-3101	5	1	this	this	DET
cana-3101	5	2	study	study	NOUN
cana-3101	5	3	presents	present	VERB
cana-3101	5	4	a	a	DET
cana-3101	5	5	convolutional	convolutional	ADJ
cana-3101	5	6	neural	neural	ADJ
cana-3101	5	7	network	network	NOUN
cana-3101	5	8	(	(	PUNCT
cana-3101	5	9	cnn	cnn	PROPN
cana-3101	5	10	)	)	PUNCT
cana-3101	5	11	model	model	NOUN
cana-3101	5	12	aimed	aim	VERB
cana-3101	5	13	at	at	ADP
cana-3101	5	14	enhancing	enhance	VERB
cana-3101	5	15	the	the	DET
cana-3101	5	16	efficiency	efficiency	NOUN
cana-3101	5	17	and	and	CCONJ
cana-3101	5	18	usability	usability	NOUN
cana-3101	5	19	of	of	ADP
cana-3101	5	20	user	user	NOUN
cana-3101	5	21	authentication	authentication	NOUN
cana-3101	5	22	processes	process	NOUN
cana-3101	5	23	.	.	PUNCT
cana-3101	6	1	the	the	DET
cana-3101	6	2	proposed	propose	VERB
cana-3101	6	3	model	model	NOUN
cana-3101	6	4	demonstrates	demonstrate	VERB
cana-3101	6	5	high	high	ADJ
cana-3101	6	6	accuracy	accuracy	NOUN
cana-3101	6	7	and	and	CCONJ
cana-3101	6	8	has	have	AUX
cana-3101	6	9	undergone	undergo	VERB
cana-3101	6	10	pretraining	pretraine	VERB
cana-3101	6	11	for	for	ADP
cana-3101	6	12	classification	classification	NOUN
cana-3101	6	13	across	across	ADP
cana-3101	6	14	various	various	ADJ
cana-3101	6	15	disciplines	discipline	NOUN
cana-3101	6	16	.	.	PUNCT
cana-3101	7	1	this	this	PRON
cana-3101	7	2	was	be	AUX
cana-3101	7	3	utilized	utilize	VERB
cana-3101	7	4	for	for	ADP
cana-3101	7	5	the	the	DET
cana-3101	7	6	authentication	authentication	NOUN
cana-3101	7	7	procedure	procedure	NOUN
cana-3101	7	8	following	follow	VERB
cana-3101	7	9	specific	specific	ADJ
cana-3101	7	10	structural	structural	ADJ
cana-3101	7	11	modifications	modification	NOUN
cana-3101	7	12	.	.	PUNCT
cana-3101	8	1	the	the	DET
cana-3101	8	2	proposed	propose	VERB
cana-3101	8	3	model	model	NOUN
cana-3101	8	4	generates	generate	VERB
cana-3101	8	5	an	an	DET
cana-3101	8	6	output	output	NOUN
cana-3101	8	7	suitable	suitable	ADJ
cana-3101	8	8	for	for	ADP
cana-3101	8	9	patient	patient	ADJ
cana-3101	8	10	authentication	authentication	NOUN
cana-3101	8	11	that	that	PRON
cana-3101	8	12	is	be	AUX
cana-3101	8	13	subsequently	subsequently	ADV
cana-3101	8	14	stored	store	VERB
cana-3101	8	15	in	in	ADP
cana-3101	8	16	a	a	DET
cana-3101	8	17	database	database	NOUN
cana-3101	8	18	.	.	PUNCT
cana-3101	9	1	the	the	DET
cana-3101	9	2	model	model	NOUN
cana-3101	9	3	generates	generate	VERB
cana-3101	9	4	the	the	DET
cana-3101	9	5	patient	patient	NOUN
cana-3101	9	6	’s	’s	PART
cana-3101	9	7	output	output	NOUN
cana-3101	9	8	upon	upon	SCONJ
cana-3101	9	9	the	the	DET
cana-3101	9	10	registration	registration	NOUN
cana-3101	9	11	of	of	ADP
cana-3101	9	12	a	a	DET
cana-3101	9	13	new	new	ADJ
cana-3101	9	14	patient	patient	NOUN
cana-3101	9	15	.	.	PUNCT
cana-3101	10	1	this	this	DET
cana-3101	10	2	output	output	NOUN
cana-3101	10	3	was	be	AUX
cana-3101	10	4	subsequently	subsequently	ADV
cana-3101	10	5	utilized	utilize	VERB
cana-3101	10	6	to	to	PART
cana-3101	10	7	compute	compute	VERB
cana-3101	10	8	the	the	DET
cana-3101	10	9	euclidean	euclidean	ADJ
cana-3101	10	10	distance	distance	NOUN
cana-3101	10	11	between	between	ADP
cana-3101	10	12	the	the	DET
cana-3101	10	13	current	current	ADJ
cana-3101	10	14	patient	patient	NOUN
cana-3101	10	15	's	's	PART
cana-3101	10	16	output	output	NOUN
cana-3101	10	17	and	and	CCONJ
cana-3101	10	18	previous	previous	ADJ
cana-3101	10	19	outputs	output	NOUN
cana-3101	10	20	stored	store	VERB
cana-3101	10	21	in	in	ADP
cana-3101	10	22	the	the	DET
cana-3101	10	23	database	database	NOUN
cana-3101	10	24	,	,	PUNCT
cana-3101	10	25	resulting	result	VERB
cana-3101	10	26	in	in	ADP
cana-3101	10	27	a	a	DET
cana-3101	10	28	similarity	similarity	NOUN
cana-3101	10	29	score	score	NOUN
cana-3101	10	30	.	.	PUNCT
cana-3101	11	1	convolutional	convolutional	ADJ
cana-3101	11	2	neural	neural	ADJ
cana-3101	11	3	networks	network	NOUN
cana-3101	11	4	(	(	PUNCT
cana-3101	11	5	cnns	cnns	PROPN
cana-3101	11	6	)	)	PUNCT
cana-3101	11	7	have	have	AUX
cana-3101	11	8	been	be	AUX
cana-3101	11	9	employed	employ	VERB
cana-3101	11	10	to	to	PART
cana-3101	11	11	design	design	VERB
cana-3101	11	12	classification	classification	NOUN
cana-3101	11	13	models	model	NOUN
cana-3101	11	14	that	that	PRON
cana-3101	11	15	determine	determine	VERB
cana-3101	11	16	the	the	DET
cana-3101	11	17	electrocardiogram	electrocardiogram	NOUN
cana-3101	11	18	(	(	PUNCT
cana-3101	11	19	ecg	ecg	PROPN
cana-3101	11	20	)	)	PUNCT
cana-3101	11	21	corresponding	correspond	VERB
cana-3101	11	22	to	to	ADP
cana-3101	11	23	a	a	DET
cana-3101	11	24	specific	specific	ADJ
cana-3101	11	25	individual	individual	NOUN
cana-3101	11	26	based	base	VERB
cana-3101	11	27	on	on	ADP
cana-3101	11	28	a	a	DET
cana-3101	11	29	combination	combination	NOUN
cana-3101	11	30	of	of	ADP
cana-3101	11	31	feature	feature	NOUN
cana-3101	11	32	sets	set	NOUN
cana-3101	11	33	produced	produce	VERB
cana-3101	11	34	during	during	ADP
cana-3101	11	35	the	the	DET
cana-3101	11	36	transformation	transformation	NOUN
cana-3101	11	37	phase	phase	NOUN
cana-3101	11	38	.	.	PUNCT
cana-3101	12	1	the	the	DET
cana-3101	12	2	results	result	NOUN
cana-3101	12	3	indicate	indicate	VERB
cana-3101	12	4	that	that	SCONJ
cana-3101	12	5	,	,	PUNCT
cana-3101	12	6	when	when	SCONJ
cana-3101	12	7	adequate	adequate	ADJ
cana-3101	12	8	data	datum	NOUN
cana-3101	12	9	are	be	AUX
cana-3101	12	10	available	available	ADJ
cana-3101	12	11	for	for	ADP
cana-3101	12	12	training	training	NOUN
cana-3101	12	13	,	,	PUNCT
cana-3101	12	14	deep	deep	ADJ
cana-3101	12	15	neural	neural	ADJ
cana-3101	12	16	networks	network	NOUN
cana-3101	12	17	(	(	PUNCT
cana-3101	12	18	dnns	dnn	NOUN
cana-3101	12	19	)	)	PUNCT
cana-3101	12	20	can	can	AUX
cana-3101	12	21	achieve	achieve	VERB
cana-3101	12	22	greater	great	ADJ
cana-3101	12	23	accuracy	accuracy	NOUN
cana-3101	12	24	than	than	ADP
cana-3101	12	25	many	many	ADJ
cana-3101	12	26	alternative	alternative	ADJ
cana-3101	12	27	methods	method	NOUN
cana-3101	12	28	.	.	PUNCT
cana-3101	13	1	keywords	keyword	NOUN
cana-3101	13	2	:	:	PUNCT
cana-3101	13	3	machine	machine	NOUN
cana-3101	13	4	learning	learning	PROPN
cana-3101	13	5	,	,	PUNCT
cana-3101	13	6	cnn	cnn	PROPN
cana-3101	13	7	-	-	PUNCT
cana-3101	13	8	based	base	VERB
cana-3101	13	9	model	model	NOUN
cana-3101	13	10	,	,	PUNCT
cana-3101	13	11	electrocardiogram	electrocardiogram	NOUN
cana-3101	13	12	,	,	PUNCT
cana-3101	13	13	deep	deep	ADJ
cana-3101	13	14	learning	learn	VERB
cana-3101	13	15	1	1	NUM
cana-3101	13	16	.	.	PUNCT
cana-3101	14	1	introduction	introduction	NOUN
cana-3101	14	2	recent	recent	ADJ
cana-3101	14	3	years	year	NOUN
cana-3101	14	4	have	have	AUX
cana-3101	14	5	demonstrated	demonstrate	VERB
cana-3101	14	6	a	a	DET
cana-3101	14	7	significant	significant	ADJ
cana-3101	14	8	potential	potential	NOUN
cana-3101	14	9	for	for	ADP
cana-3101	14	10	biometric	biometric	ADJ
cana-3101	14	11	authentication	authentication	NOUN
cana-3101	14	12	across	across	ADP
cana-3101	14	13	various	various	ADJ
cana-3101	14	14	sectors	sector	NOUN
cana-3101	14	15	[	[	X
cana-3101	14	16	1	1	NUM
cana-3101	14	17	]	]	PUNCT
cana-3101	14	18	.	.	PUNCT
cana-3101	15	1	physiological	physiological	ADJ
cana-3101	15	2	signals	signal	NOUN
cana-3101	15	3	such	such	ADJ
cana-3101	15	4	as	as	ADP
cana-3101	15	5	electrocardiograms	electrocardiogram	NOUN
cana-3101	15	6	(	(	PUNCT
cana-3101	15	7	ecg	ecg	PROPN
cana-3101	15	8	)	)	PUNCT
cana-3101	15	9	can	can	AUX
cana-3101	15	10	be	be	AUX
cana-3101	15	11	continuously	continuously	ADV
cana-3101	15	12	acquired	acquire	VERB
cana-3101	15	13	in	in	ADP
cana-3101	15	14	the	the	DET
cana-3101	15	15	background	background	NOUN
cana-3101	15	16	without	without	ADP
cana-3101	15	17	requiring	require	VERB
cana-3101	15	18	specific	specific	ADJ
cana-3101	15	19	user	user	NOUN
cana-3101	15	20	actions	action	NOUN
cana-3101	15	21	owing	owe	VERB
cana-3101	15	22	to	to	ADP
cana-3101	15	23	advancements	advancement	NOUN
cana-3101	15	24	in	in	ADP
cana-3101	15	25	deep	deep	ADJ
cana-3101	15	26	learning	learning	NOUN
cana-3101	15	27	(	(	PUNCT
cana-3101	15	28	dl	dl	NOUN
cana-3101	15	29	)	)	PUNCT
cana-3101	15	30	and	and	CCONJ
cana-3101	15	31	machine	machine	NOUN
cana-3101	15	32	learning	learning	NOUN
cana-3101	15	33	(	(	PUNCT
cana-3101	15	34	ml	ml	NOUN
cana-3101	15	35	)	)	PUNCT
cana-3101	15	36	wearable	wearable	ADJ
cana-3101	15	37	devices	device	NOUN
cana-3101	15	38	for	for	ADP
cana-3101	15	39	data	data	NOUN
cana-3101	15	40	collection	collection	NOUN
cana-3101	15	41	.	.	PUNCT
cana-3101	16	1	electrocardiography	electrocardiography	NOUN
cana-3101	16	2	(	(	PUNCT
cana-3101	16	3	ecg	ecg	PROPN
cana-3101	16	4	)	)	PUNCT
cana-3101	16	5	is	be	AUX
cana-3101	16	6	a	a	DET
cana-3101	16	7	crucial	crucial	ADJ
cana-3101	16	8	tool	tool	NOUN
cana-3101	16	9	for	for	ADP
cana-3101	16	10	the	the	DET
cana-3101	16	11	diagnosis	diagnosis	NOUN
cana-3101	16	12	of	of	ADP
cana-3101	16	13	cardiovascular	cardiovascular	ADJ
cana-3101	16	14	disease	disease	NOUN
cana-3101	16	15	(	(	PUNCT
cana-3101	16	16	cvd	cvd	PROPN
cana-3101	16	17	)	)	PUNCT
cana-3101	16	18	,	,	PUNCT
cana-3101	16	19	the	the	DET
cana-3101	16	20	leading	lead	VERB
cana-3101	16	21	cause	cause	NOUN
cana-3101	16	22	of	of	ADP
cana-3101	16	23	death	death	NOUN
cana-3101	16	24	worldwide	worldwide	ADV
cana-3101	16	25	.	.	PUNCT
cana-3101	17	1	cardiovascular	cardiovascular	ADJ
cana-3101	17	2	disease	disease	NOUN
cana-3101	17	3	is	be	AUX
cana-3101	17	4	a	a	DET
cana-3101	17	5	prevalent	prevalent	ADJ
cana-3101	17	6	condition	condition	NOUN
cana-3101	17	7	that	that	PRON
cana-3101	17	8	poses	pose	VERB
cana-3101	17	9	a	a	DET
cana-3101	17	10	significant	significant	ADJ
cana-3101	17	11	threat	threat	NOUN
cana-3101	17	12	to	to	ADP
cana-3101	17	13	human	human	ADJ
cana-3101	17	14	health	health	NOUN
cana-3101	17	15	,	,	PUNCT
cana-3101	17	16	particularly	particularly	ADV
cana-3101	17	17	to	to	ADP
cana-3101	17	18	the	the	DET
cana-3101	17	19	elderly	elderly	ADJ
cana-3101	17	20	population	population	NOUN
cana-3101	17	21	.	.	PUNCT
cana-3101	18	1	this	this	DET
cana-3101	18	2	condition	condition	NOUN
cana-3101	18	3	is	be	AUX
cana-3101	18	4	characterized	characterize	VERB
cana-3101	18	5	by	by	ADP
cana-3101	18	6	disability	disability	NOUN
cana-3101	18	7	,	,	PUNCT
cana-3101	18	8	significant	significant	ADJ
cana-3101	18	9	dominance	dominance	NOUN
cana-3101	18	10	,	,	PUNCT
cana-3101	18	11	and	and	CCONJ
cana-3101	18	12	elevated	elevated	ADJ
cana-3101	18	13	mortality	mortality	NOUN
cana-3101	18	14	rates	rate	NOUN
cana-3101	18	15	.	.	PUNCT
cana-3101	19	1	the	the	DET
cana-3101	19	2	global	global	ADJ
cana-3101	19	3	population	population	NOUN
cana-3101	19	4	is	be	AUX
cana-3101	19	5	increasing	increase	VERB
cana-3101	19	6	.	.	PUNCT
cana-3101	20	1	[	[	X
cana-3101	20	2	1	1	X
cana-3101	20	3	]	]	X
cana-3101	20	4	the	the	DET
cana-3101	20	5	increase	increase	NOUN
cana-3101	20	6	in	in	ADP
cana-3101	20	7	cardiovascular	cardiovascular	ADJ
cana-3101	20	8	disease	disease	NOUN
cana-3101	20	9	(	(	PUNCT
cana-3101	20	10	cvd	cvd	PROPN
cana-3101	20	11	)	)	PUNCT
cana-3101	20	12	has	have	AUX
cana-3101	20	13	emerged	emerge	VERB
cana-3101	20	14	as	as	ADP
cana-3101	20	15	a	a	DET
cana-3101	20	16	significant	significant	ADJ
cana-3101	20	17	public	public	ADJ
cana-3101	20	18	health	health	NOUN
cana-3101	20	19	issue	issue	NOUN
cana-3101	20	20	.	.	PUNCT
cana-3101	21	1	ecg	ecg	PROPN
cana-3101	21	2	examination	examination	NOUN
cana-3101	21	3	is	be	AUX
cana-3101	21	4	an	an	DET
cana-3101	21	5	effective	effective	ADJ
cana-3101	21	6	method	method	NOUN
cana-3101	21	7	for	for	ADP
cana-3101	21	8	assessing	assess	VERB
cana-3101	21	9	cardiac	cardiac	ADJ
cana-3101	21	10	status	status	NOUN
cana-3101	21	11	.	.	PUNCT
cana-3101	22	1	cardiovascular	cardiovascular	ADJ
cana-3101	22	2	diseases	disease	NOUN
cana-3101	22	3	require	require	VERB
cana-3101	22	4	the	the	DET
cana-3101	22	5	classification	classification	NOUN
cana-3101	22	6	and	and	CCONJ
cana-3101	22	7	identification	identification	NOUN
cana-3101	22	8	of	of	ADP
cana-3101	22	9	ecg	ecg	PROPN
cana-3101	22	10	signals	signal	NOUN
cana-3101	22	11	.	.	PUNCT
cana-3101	23	1	therefore	therefore	ADV
cana-3101	23	2	,	,	PUNCT
cana-3101	23	3	it	it	PRON
cana-3101	23	4	is	be	AUX
cana-3101	23	5	essential	essential	ADJ
cana-3101	23	6	to	to	PART
cana-3101	23	7	classify	classify	AUX
cana-3101	23	8	linked	link	VERB
cana-3101	23	9	ecg	ecg	PROPN
cana-3101	23	10	signals	signal	NOUN
cana-3101	23	11	.	.	PUNCT
cana-3101	24	1	the	the	DET
cana-3101	24	2	transition	transition	NOUN
cana-3101	24	3	of	of	ADP
cana-3101	24	4	ecgs	ecgs	NOUN
cana-3101	24	5	from	from	ADP
cana-3101	24	6	log	log	NOUN
cana-3101	24	7	to	to	ADP
cana-3101	24	8	digital	digital	ADJ
cana-3101	24	9	formats	format	NOUN
cana-3101	24	10	has	have	AUX
cana-3101	24	11	increased	increase	VERB
cana-3101	24	12	the	the	DET
cana-3101	24	13	importance	importance	NOUN
cana-3101	24	14	of	of	ADP
cana-3101	24	15	automated	automate	VERB
cana-3101	24	16	computer	computer	NOUN
cana-3101	24	17	analyses	analysis	NOUN
cana-3101	24	18	of	of	ADP
cana-3101	24	19	communications	communication	NOUN
cana-3101	24	20	on	on	ADP
cana-3101	24	21	applied	apply	VERB
cana-3101	24	22	nonlinear	nonlinear	ADJ
cana-3101	24	23	analysis	analysis	NOUN
cana-3101	24	24	issn	issn	NOUN
cana-3101	24	25	:	:	PUNCT
cana-3101	24	26	1074	1074	NUM
cana-3101	24	27	-	-	PUNCT
cana-3101	24	28	133x	133x	NUM
cana-3101	24	29	vol	vol	NOUN
cana-3101	24	30	32	32	NUM
cana-3101	24	31	no	no	NOUN
cana-3101	24	32	.	.	PUNCT
cana-3101	25	1	5s	5s	NUM
cana-3101	25	2	(	(	PUNCT
cana-3101	25	3	2025	2025	NUM
cana-3101	25	4	)	)	PUNCT
cana-3101	25	5	304	304	NUM
cana-3101	25	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	25	7	12	12	NUM
cana-3101	25	8	-	-	PUNCT
cana-3101	25	9	lead	lead	NOUN
cana-3101	25	10	ecgs	ecgs	NOUN
cana-3101	25	11	in	in	ADP
cana-3101	25	12	medical	medical	ADJ
cana-3101	25	13	diagnostics	diagnostic	NOUN
cana-3101	25	14	.	.	PUNCT
cana-3101	26	1	the	the	DET
cana-3101	26	2	limited	limited	ADJ
cana-3101	26	3	efficacy	efficacy	NOUN
cana-3101	26	4	of	of	ADP
cana-3101	26	5	classical	classical	ADJ
cana-3101	26	6	algorithms	algorithm	NOUN
cana-3101	26	7	restricts	restrict	VERB
cana-3101	26	8	their	their	PRON
cana-3101	26	9	utility	utility	NOUN
cana-3101	26	10	as	as	ADP
cana-3101	26	11	independent	independent	ADJ
cana-3101	26	12	diagnostic	diagnostic	ADJ
cana-3101	26	13	tools	tool	NOUN
cana-3101	26	14	,	,	PUNCT
cana-3101	26	15	and	and	CCONJ
cana-3101	26	16	relegates	relegate	VERB
cana-3101	26	17	them	they	PRON
cana-3101	26	18	to	to	ADP
cana-3101	26	19	supportive	supportive	ADJ
cana-3101	26	20	roles	role	NOUN
cana-3101	26	21	.	.	PUNCT
cana-3101	27	1	[	[	X
cana-3101	27	2	1],[2	1],[2	NUM
cana-3101	27	3	]	]	PUNCT
cana-3101	27	4	biosensors	biosensor	NOUN
cana-3101	27	5	designed	design	VERB
cana-3101	27	6	for	for	ADP
cana-3101	27	7	placement	placement	NOUN
cana-3101	27	8	on	on	ADP
cana-3101	27	9	,	,	PUNCT
cana-3101	27	10	within	within	ADV
cana-3101	27	11	,	,	PUNCT
cana-3101	27	12	and	and	CCONJ
cana-3101	27	13	around	around	ADP
cana-3101	27	14	the	the	DET
cana-3101	27	15	patient	patient	NOUN
cana-3101	27	16	's	's	PART
cana-3101	27	17	body	body	NOUN
cana-3101	27	18	enable	enable	VERB
cana-3101	27	19	the	the	DET
cana-3101	27	20	continuous	continuous	ADJ
cana-3101	27	21	monitoring	monitoring	NOUN
cana-3101	27	22	of	of	ADP
cana-3101	27	23	physiological	physiological	ADJ
cana-3101	27	24	parameters	parameter	NOUN
cana-3101	27	25	during	during	ADP
cana-3101	27	26	physical	physical	ADJ
cana-3101	27	27	activity	activity	NOUN
cana-3101	27	28	.	.	PUNCT
cana-3101	28	1	examples	example	NOUN
cana-3101	28	2	of	of	ADP
cana-3101	28	3	physiological	physiological	ADJ
cana-3101	28	4	parameters	parameter	NOUN
cana-3101	28	5	include	include	VERB
cana-3101	28	6	the	the	DET
cana-3101	28	7	blood	blood	NOUN
cana-3101	28	8	oxygen	oxygen	NOUN
cana-3101	28	9	level	level	NOUN
cana-3101	28	10	,	,	PUNCT
cana-3101	28	11	heart	heart	NOUN
cana-3101	28	12	rate	rate	NOUN
cana-3101	28	13	,	,	PUNCT
cana-3101	28	14	and	and	CCONJ
cana-3101	28	15	core	core	NOUN
cana-3101	28	16	body	body	NOUN
cana-3101	28	17	temperature	temperature	NOUN
cana-3101	28	18	.	.	PUNCT
cana-3101	29	1	electrical	electrical	ADJ
cana-3101	29	2	bio	bio	PROPN
cana-3101	29	3	signals	signal	NOUN
cana-3101	29	4	,	,	PUNCT
cana-3101	29	5	including	include	VERB
cana-3101	29	6	electrocardiograms	electrocardiogram	NOUN
cana-3101	29	7	,	,	PUNCT
cana-3101	29	8	electroencephalograms	electroencephalogram	NOUN
cana-3101	29	9	,	,	PUNCT
cana-3101	29	10	and	and	CCONJ
cana-3101	29	11	electromyograms	electromyogram	NOUN
cana-3101	29	12	(	(	PUNCT
cana-3101	29	13	emg	emg	NOUN
cana-3101	29	14	)	)	PUNCT
cana-3101	29	15	,	,	PUNCT
cana-3101	29	16	are	be	AUX
cana-3101	29	17	widely	widely	ADV
cana-3101	29	18	recognized	recognize	VERB
cana-3101	29	19	.	.	PUNCT
cana-3101	30	1	the	the	DET
cana-3101	30	2	e	e	NOUN
cana-3101	30	3	-	-	ADJ
cana-3101	30	4	health	health	ADJ
cana-3101	30	5	cloud	cloud	NOUN
cana-3101	30	6	is	be	AUX
cana-3101	30	7	a	a	DET
cana-3101	30	8	widely	widely	ADV
cana-3101	30	9	recognized	recognize	VERB
cana-3101	30	10	cloud	cloud	NOUN
cana-3101	30	11	-	-	PUNCT
cana-3101	30	12	based	base	VERB
cana-3101	30	13	healthcare	healthcare	NOUN
cana-3101	30	14	platform	platform	NOUN
cana-3101	30	15	designed	design	VERB
cana-3101	30	16	for	for	ADP
cana-3101	30	17	efficient	efficient	ADJ
cana-3101	30	18	capture	capture	NOUN
cana-3101	30	19	,	,	PUNCT
cana-3101	30	20	storage	storage	NOUN
cana-3101	30	21	,	,	PUNCT
cana-3101	30	22	and	and	CCONJ
cana-3101	30	23	management	management	NOUN
cana-3101	30	24	of	of	ADP
cana-3101	30	25	substantial	substantial	ADJ
cana-3101	30	26	volumes	volume	NOUN
cana-3101	30	27	of	of	ADP
cana-3101	30	28	healthcare	healthcare	PROPN
cana-3101	30	29	data	data	PROPN
cana-3101	30	30	.	.	PUNCT
cana-3101	31	1	an	an	DET
cana-3101	31	2	untrustworthy	untrustworthy	ADJ
cana-3101	31	3	cloud	cloud	NOUN
cana-3101	31	4	service	service	NOUN
cana-3101	31	5	provider	provider	NOUN
cana-3101	31	6	may	may	AUX
cana-3101	31	7	compromise	compromise	VERB
cana-3101	31	8	the	the	DET
cana-3101	31	9	integrity	integrity	NOUN
cana-3101	31	10	of	of	ADP
cana-3101	31	11	data	datum	NOUN
cana-3101	31	12	and	and	CCONJ
cana-3101	31	13	potentially	potentially	ADV
cana-3101	31	14	initiate	initiate	VERB
cana-3101	31	15	internal	internal	ADJ
cana-3101	31	16	attacks	attack	NOUN
cana-3101	31	17	.	.	PUNCT
cana-3101	32	1	data	datum	NOUN
cana-3101	32	2	source	source	NOUN
cana-3101	32	3	networks	network	NOUN
cana-3101	32	4	are	be	AUX
cana-3101	32	5	susceptible	susceptible	ADJ
cana-3101	32	6	to	to	ADP
cana-3101	32	7	external	external	ADJ
cana-3101	32	8	attacks	attack	NOUN
cana-3101	32	9	.	.	PUNCT
cana-3101	33	1	an	an	DET
cana-3101	33	2	attacker	attacker	NOUN
cana-3101	33	3	can	can	AUX
cana-3101	33	4	potentially	potentially	ADV
cana-3101	33	5	gain	gain	VERB
cana-3101	33	6	access	access	NOUN
cana-3101	33	7	to	to	ADP
cana-3101	33	8	the	the	DET
cana-3101	33	9	network	network	NOUN
cana-3101	33	10	and	and	CCONJ
cana-3101	33	11	healthcare	healthcare	NOUN
cana-3101	33	12	equipment	equipment	NOUN
cana-3101	33	13	,	,	PUNCT
cana-3101	33	14	allowing	allow	VERB
cana-3101	33	15	for	for	ADP
cana-3101	33	16	the	the	DET
cana-3101	33	17	manipulation	manipulation	NOUN
cana-3101	33	18	of	of	ADP
cana-3101	33	19	patient	patient	ADJ
cana-3101	33	20	bio	bio	PROPN
cana-3101	33	21	signal	signal	PROPN
cana-3101	33	22	data	datum	NOUN
cana-3101	33	23	or	or	CCONJ
cana-3101	33	24	creation	creation	NOUN
cana-3101	33	25	of	of	ADP
cana-3101	33	26	fraudulent	fraudulent	ADJ
cana-3101	33	27	data	datum	NOUN
cana-3101	33	28	.	.	PUNCT
cana-3101	34	1	businesses	business	NOUN
cana-3101	34	2	,	,	PUNCT
cana-3101	34	3	including	include	VERB
cana-3101	34	4	insurance	insurance	NOUN
cana-3101	34	5	service	service	NOUN
cana-3101	34	6	providers	provider	NOUN
cana-3101	34	7	,	,	PUNCT
cana-3101	34	8	benefit	benefit	VERB
cana-3101	34	9	from	from	ADP
cana-3101	34	10	internal	internal	ADJ
cana-3101	34	11	and	and	CCONJ
cana-3101	34	12	external	external	ADJ
cana-3101	34	13	factors	factor	NOUN
cana-3101	34	14	.	.	PUNCT
cana-3101	35	1	[	[	X
cana-3101	35	2	3	3	X
cana-3101	35	3	]	]	X
cana-3101	35	4	the	the	DET
cana-3101	35	5	personal	personal	ADJ
cana-3101	35	6	information	information	NOUN
cana-3101	35	7	is	be	AUX
cana-3101	35	8	a	a	DET
cana-3101	35	9	significant	significant	ADJ
cana-3101	35	10	issue	issue	NOUN
cana-3101	35	11	that	that	SCONJ
cana-3101	35	12	warrants	warrant	NOUN
cana-3101	35	13	careful	careful	ADJ
cana-3101	35	14	attention	attention	NOUN
cana-3101	35	15	.	.	PUNCT
cana-3101	36	1	therefore	therefore	ADV
cana-3101	36	2	,	,	PUNCT
cana-3101	36	3	in	in	ADP
cana-3101	36	4	addition	addition	NOUN
cana-3101	36	5	to	to	ADP
cana-3101	36	6	authenticating	authenticate	VERB
cana-3101	36	7	the	the	DET
cana-3101	36	8	patient	patient	NOUN
cana-3101	36	9	,	,	PUNCT
cana-3101	36	10	we	we	PRON
cana-3101	36	11	ensured	ensure	VERB
cana-3101	36	12	the	the	DET
cana-3101	36	13	security	security	NOUN
cana-3101	36	14	of	of	ADP
cana-3101	36	15	the	the	DET
cana-3101	36	16	patient	patient	NOUN
cana-3101	36	17	’s	’s	PART
cana-3101	36	18	data	datum	NOUN
cana-3101	36	19	by	by	ADP
cana-3101	36	20	applying	apply	VERB
cana-3101	36	21	the	the	DET
cana-3101	36	22	established	establish	VERB
cana-3101	36	23	reversible	reversible	ADJ
cana-3101	36	24	data	data	NOUN
cana-3101	36	25	-	-	PUNCT
cana-3101	36	26	hiding	hiding	NOUN
cana-3101	36	27	techniques	technique	NOUN
cana-3101	36	28	.	.	PUNCT
cana-3101	37	1	we	we	PRON
cana-3101	37	2	conducted	conduct	VERB
cana-3101	37	3	a	a	DET
cana-3101	37	4	thorough	thorough	ADJ
cana-3101	37	5	review	review	NOUN
cana-3101	37	6	of	of	ADP
cana-3101	37	7	the	the	DET
cana-3101	37	8	various	various	ADJ
cana-3101	37	9	medical	medical	ADJ
cana-3101	37	10	data	data	NOUN
cana-3101	37	11	-	-	PUNCT
cana-3101	37	12	securing	secure	VERB
cana-3101	37	13	techniques	technique	NOUN
cana-3101	37	14	proposed	propose	VERB
cana-3101	37	15	in	in	ADP
cana-3101	37	16	the	the	DET
cana-3101	37	17	past	past	NOUN
cana-3101	37	18	and	and	CCONJ
cana-3101	37	19	identified	identify	VERB
cana-3101	37	20	the	the	DET
cana-3101	37	21	most	most	ADV
cana-3101	37	22	effective	effective	ADJ
cana-3101	37	23	approach	approach	NOUN
cana-3101	37	24	.	.	PUNCT
cana-3101	38	1	after	after	ADP
cana-3101	38	2	categorizing	categorize	VERB
cana-3101	38	3	these	these	DET
cana-3101	38	4	approaches	approach	NOUN
cana-3101	38	5	,	,	PUNCT
cana-3101	38	6	we	we	PRON
cana-3101	38	7	classified	classify	VERB
cana-3101	38	8	them	they	PRON
cana-3101	38	9	into	into	ADP
cana-3101	38	10	three	three	NUM
cana-3101	38	11	distinct	distinct	ADJ
cana-3101	38	12	categories	category	NOUN
cana-3101	38	13	,	,	PUNCT
cana-3101	38	14	cryptography	cryptography	NOUN
cana-3101	38	15	,	,	PUNCT
cana-3101	38	16	steganography	steganography	NOUN
cana-3101	38	17	,	,	PUNCT
cana-3101	38	18	and	and	CCONJ
cana-3101	38	19	watermarking	watermarking	NOUN
cana-3101	38	20	,	,	PUNCT
cana-3101	38	21	all	all	PRON
cana-3101	38	22	of	of	ADP
cana-3101	38	23	which	which	PRON
cana-3101	38	24	are	be	AUX
cana-3101	38	25	used	use	VERB
cana-3101	38	26	in	in	ADP
cana-3101	38	27	medical	medical	ADJ
cana-3101	38	28	and	and	CCONJ
cana-3101	38	29	health	health	NOUN
cana-3101	38	30	systems	system	NOUN
cana-3101	38	31	.	.	PUNCT
cana-3101	39	1	recently	recently	ADV
cana-3101	39	2	,	,	PUNCT
cana-3101	39	3	several	several	ADJ
cana-3101	39	4	reversible	reversible	ADJ
cana-3101	39	5	methods	method	NOUN
cana-3101	39	6	of	of	ADP
cana-3101	39	7	data	datum	NOUN
cana-3101	39	8	masking	masking	NOUN
cana-3101	39	9	have	have	AUX
cana-3101	39	10	been	be	AUX
cana-3101	39	11	reported	report	VERB
cana-3101	39	12	.	.	PUNCT
cana-3101	40	1	in	in	ADP
cana-3101	40	2	certain	certain	ADJ
cana-3101	40	3	instances	instance	NOUN
cana-3101	40	4	,	,	PUNCT
cana-3101	40	5	they	they	PRON
cana-3101	40	6	rely	rely	VERB
cana-3101	40	7	on	on	ADP
cana-3101	40	8	lossless	lossless	PROPN
cana-3101	40	9	compression	compression	NOUN
cana-3101	40	10	technology	technology	NOUN
cana-3101	40	11	to	to	PART
cana-3101	40	12	optimize	optimize	VERB
cana-3101	40	13	space	space	NOUN
cana-3101	40	14	utilization	utilization	NOUN
cana-3101	40	15	.	.	PUNCT
cana-3101	41	1	among	among	ADP
cana-3101	41	2	the	the	DET
cana-3101	41	3	available	available	ADJ
cana-3101	41	4	reversible	reversible	ADJ
cana-3101	41	5	data	data	NOUN
cana-3101	41	6	-	-	PUNCT
cana-3101	41	7	concealing	conceal	VERB
cana-3101	41	8	strategies	strategy	NOUN
cana-3101	41	9	,	,	PUNCT
cana-3101	41	10	the	the	DET
cana-3101	41	11	difference	difference	NOUN
cana-3101	41	12	expansion	expansion	NOUN
cana-3101	41	13	is	be	AUX
cana-3101	41	14	the	the	DET
cana-3101	41	15	most	most	ADV
cana-3101	41	16	efficient	efficient	ADJ
cana-3101	41	17	.	.	PUNCT
cana-3101	42	1	advancements	advancement	NOUN
cana-3101	42	2	in	in	ADP
cana-3101	42	3	artificial	artificial	ADJ
cana-3101	42	4	intelligence	intelligence	NOUN
cana-3101	42	5	(	(	PUNCT
cana-3101	42	6	ai	ai	NOUN
cana-3101	42	7	)	)	PUNCT
cana-3101	42	8	technology	technology	NOUN
cana-3101	42	9	,	,	PUNCT
cana-3101	42	10	machine	machine	NOUN
cana-3101	42	11	learning	learning	NOUN
cana-3101	42	12	,	,	PUNCT
cana-3101	42	13	and	and	CCONJ
cana-3101	42	14	deep	deep	ADJ
cana-3101	42	15	learning	learning	NOUN
cana-3101	42	16	are	be	AUX
cana-3101	42	17	being	be	AUX
cana-3101	42	18	utilized	utilize	VERB
cana-3101	42	19	to	to	PART
cana-3101	42	20	detect	detect	VERB
cana-3101	42	21	ecg	ecg	PROPN
cana-3101	42	22	signal	signal	NOUN
cana-3101	42	23	features	feature	NOUN
cana-3101	42	24	,	,	PUNCT
cana-3101	42	25	with	with	ADP
cana-3101	42	26	the	the	DET
cana-3101	42	27	aim	aim	NOUN
cana-3101	42	28	of	of	ADP
cana-3101	42	29	addressing	address	VERB
cana-3101	42	30	challenges	challenge	NOUN
cana-3101	42	31	such	such	ADJ
cana-3101	42	32	as	as	ADP
cana-3101	42	33	the	the	DET
cana-3101	42	34	substantial	substantial	ADJ
cana-3101	42	35	volume	volume	NOUN
cana-3101	42	36	of	of	ADP
cana-3101	42	37	ecg	ecg	PROPN
cana-3101	42	38	signal	signal	PROPN
cana-3101	42	39	features	feature	NOUN
cana-3101	42	40	and	and	CCONJ
cana-3101	42	41	the	the	DET
cana-3101	42	42	significant	significant	ADJ
cana-3101	42	43	manual	manual	ADJ
cana-3101	42	44	workload	workload	NOUN
cana-3101	42	45	involved	involve	VERB
cana-3101	42	46	.	.	PUNCT
cana-3101	43	1	dl	dl	PROPN
cana-3101	43	2	has	have	AUX
cana-3101	43	3	gained	gain	VERB
cana-3101	43	4	significant	significant	ADJ
cana-3101	43	5	traction	traction	NOUN
cana-3101	43	6	over	over	ADP
cana-3101	43	7	the	the	DET
cana-3101	43	8	past	past	ADJ
cana-3101	43	9	decade	decade	NOUN
cana-3101	43	10	as	as	ADP
cana-3101	43	11	a	a	DET
cana-3101	43	12	form	form	NOUN
cana-3101	43	13	of	of	ADP
cana-3101	43	14	data	data	NOUN
cana-3101	43	15	-	-	PUNCT
cana-3101	43	16	driven	drive	VERB
cana-3101	43	17	modelling	modelling	NOUN
cana-3101	43	18	that	that	PRON
cana-3101	43	19	identifies	identify	VERB
cana-3101	43	20	patterns	pattern	NOUN
cana-3101	43	21	in	in	ADP
cana-3101	43	22	data	datum	NOUN
cana-3101	43	23	and	and	CCONJ
cana-3101	43	24	makes	make	VERB
cana-3101	43	25	accurate	accurate	ADJ
cana-3101	43	26	predictions	prediction	NOUN
cana-3101	43	27	.	.	PUNCT
cana-3101	44	1	the	the	DET
cana-3101	44	2	integration	integration	NOUN
cana-3101	44	3	of	of	ADP
cana-3101	44	4	human	human	ADJ
cana-3101	44	5	voice	voice	NOUN
cana-3101	44	6	to	to	PART
cana-3101	44	7	execute	execute	VERB
cana-3101	44	8	commands	command	NOUN
cana-3101	44	9	on	on	ADP
cana-3101	44	10	smartphones	smartphone	NOUN
cana-3101	44	11	,	,	PUNCT
cana-3101	44	12	along	along	ADP
cana-3101	44	13	with	with	ADP
cana-3101	44	14	the	the	DET
cana-3101	44	15	hyper	hyper	NOUN
cana-3101	44	16	-	-	NOUN
cana-3101	44	17	personalization	personalization	NOUN
cana-3101	44	18	of	of	ADP
cana-3101	44	19	advertisements	advertisement	NOUN
cana-3101	44	20	,	,	PUNCT
cana-3101	44	21	has	have	AUX
cana-3101	44	22	profoundly	profoundly	ADV
cana-3101	44	23	influenced	influence	VERB
cana-3101	44	24	various	various	ADJ
cana-3101	44	25	aspects	aspect	NOUN
cana-3101	44	26	of	of	ADP
cana-3101	44	27	contemporary	contemporary	ADJ
cana-3101	44	28	life	life	NOUN
cana-3101	44	29	.	.	PUNCT
cana-3101	45	1	in	in	ADP
cana-3101	45	2	the	the	DET
cana-3101	45	3	medical	medical	ADJ
cana-3101	45	4	field	field	NOUN
cana-3101	45	5	,	,	PUNCT
cana-3101	45	6	deep	deep	ADJ
cana-3101	45	7	learning	learning	NOUN
cana-3101	45	8	has	have	AUX
cana-3101	45	9	been	be	AUX
cana-3101	45	10	used	use	VERB
cana-3101	45	11	to	to	PART
cana-3101	45	12	identify	identify	VERB
cana-3101	45	13	melanomas	melanomas	NOUN
cana-3101	45	14	from	from	ADP
cana-3101	45	15	images	image	NOUN
cana-3101	45	16	of	of	ADP
cana-3101	45	17	skin	skin	NOUN
cana-3101	45	18	lesions	lesion	NOUN
cana-3101	45	19	,	,	PUNCT
cana-3101	45	20	predict	predict	VERB
cana-3101	45	21	diabetic	diabetic	ADJ
cana-3101	45	22	retinopathy	retinopathy	ADJ
cana-3101	45	23	from	from	ADP
cana-3101	45	24	fundoscopic	fundoscopic	ADJ
cana-3101	45	25	images	image	NOUN
cana-3101	45	26	,	,	PUNCT
cana-3101	45	27	and	and	CCONJ
cana-3101	45	28	segment	segment	VERB
cana-3101	45	29	the	the	DET
cana-3101	45	30	ventricle	ventricle	NOUN
cana-3101	45	31	using	use	VERB
cana-3101	45	32	cardiac	cardiac	ADJ
cana-3101	45	33	mri	mri	NOUN
cana-3101	45	34	.	.	PUNCT
cana-3101	46	1	the	the	DET
cana-3101	46	2	latter	latter	ADJ
cana-3101	46	3	recently	recently	ADV
cana-3101	46	4	received	receive	VERB
cana-3101	46	5	fda	fda	PROPN
cana-3101	46	6	approval.[1	approval.[1	PROPN
cana-3101	46	7	]	]	PUNCT
cana-3101	46	8	,	,	PUNCT
cana-3101	46	9	[	[	X
cana-3101	46	10	2	2	NUM
cana-3101	46	11	]	]	PUNCT
cana-3101	46	12	,	,	PUNCT
cana-3101	46	13	[	[	X
cana-3101	46	14	4	4	NUM
cana-3101	46	15	]	]	PUNCT
cana-3101	46	16	,	,	PUNCT
cana-3101	46	17	[	[	X
cana-3101	46	18	5	5	NUM
cana-3101	46	19	]	]	PUNCT
cana-3101	46	20	.	.	PUNCT
cana-3101	47	1	deep	deep	ADJ
cana-3101	47	2	neural	neural	ADJ
cana-3101	47	3	networks	network	NOUN
cana-3101	47	4	(	(	PUNCT
cana-3101	47	5	dnns	dnn	NOUN
cana-3101	47	6	)	)	PUNCT
cana-3101	47	7	have	have	AUX
cana-3101	47	8	demonstrated	demonstrate	VERB
cana-3101	47	9	remarkable	remarkable	ADJ
cana-3101	47	10	performance	performance	NOUN
cana-3101	47	11	in	in	ADP
cana-3101	47	12	areas	area	NOUN
cana-3101	47	13	such	such	ADJ
cana-3101	47	14	as	as	ADP
cana-3101	47	15	speech	speech	NOUN
cana-3101	47	16	recognition	recognition	NOUN
cana-3101	47	17	and	and	CCONJ
cana-3101	47	18	image	image	NOUN
cana-3101	47	19	classification	classification	NOUN
cana-3101	47	20	,	,	PUNCT
cana-3101	47	21	and	and	CCONJ
cana-3101	47	22	there	there	PRON
cana-3101	47	23	is	be	VERB
cana-3101	47	24	significant	significant	ADJ
cana-3101	47	25	optimism	optimism	NOUN
cana-3101	47	26	regarding	regard	VERB
cana-3101	47	27	the	the	DET
cana-3101	47	28	potential	potential	NOUN
cana-3101	47	29	of	of	ADP
cana-3101	47	30	this	this	DET
cana-3101	47	31	technology	technology	NOUN
cana-3101	47	32	to	to	PART
cana-3101	47	33	enhance	enhance	VERB
cana-3101	47	34	clinical	clinical	ADJ
cana-3101	47	35	practice	practice	NOUN
cana-3101	47	36	and	and	CCONJ
cana-3101	47	37	healthcare	healthcare	NOUN
cana-3101	47	38	.	.	PUNCT
cana-3101	48	1	currently	currently	ADV
cana-3101	48	2	,	,	PUNCT
cana-3101	48	3	the	the	DET
cana-3101	48	4	most	most	ADV
cana-3101	48	5	effective	effective	ADJ
cana-3101	48	6	system	system	NOUN
cana-3101	48	7	utilizes	utilize	VERB
cana-3101	48	8	supervised	supervise	VERB
cana-3101	48	9	learning	learn	VERB
cana-3101	48	10	to	to	PART
cana-3101	48	11	automate	automate	VERB
cana-3101	48	12	the	the	DET
cana-3101	48	13	examination	examination	NOUN
cana-3101	48	14	diagnosis	diagnosis	NOUN
cana-3101	48	15	process	process	NOUN
cana-3101	48	16	.	.	PUNCT
cana-3101	49	1	in	in	ADP
cana-3101	49	2	the	the	DET
cana-3101	49	3	exploration	exploration	NOUN
cana-3101	49	4	of	of	ADP
cana-3101	49	5	retinal	retinal	ADJ
cana-3101	49	6	infections	infection	NOUN
cana-3101	49	7	and	and	CCONJ
cana-3101	49	8	the	the	DET
cana-3101	49	9	analysis	analysis	NOUN
cana-3101	49	10	of	of	ADP
cana-3101	49	11	breast	breast	NOUN
cana-3101	49	12	cancer	cancer	NOUN
cana-3101	49	13	using	use	VERB
cana-3101	49	14	3	3	NUM
cana-3101	49	15	-	-	PUNCT
cana-3101	49	16	d	d	ADJ
cana-3101	49	17	optical	optical	ADJ
cana-3101	49	18	coherence	coherence	NOUN
cana-3101	49	19	tomography	tomography	NOUN
cana-3101	49	20	images	image	NOUN
cana-3101	49	21	,	,	PUNCT
cana-3101	49	22	the	the	DET
cana-3101	49	23	supervised	supervised	ADJ
cana-3101	49	24	learning	learning	NOUN
cana-3101	49	25	technique	technique	NOUN
cana-3101	49	26	,	,	PUNCT
cana-3101	49	27	which	which	PRON
cana-3101	49	28	maps	map	VERB
cana-3101	49	29	input	input	NOUN
cana-3101	49	30	to	to	ADP
cana-3101	49	31	output	output	NOUN
cana-3101	49	32	based	base	VERB
cana-3101	49	33	on	on	ADP
cana-3101	49	34	sample	sample	NOUN
cana-3101	49	35	input	input	NOUN
cana-3101	49	36	-	-	PUNCT
cana-3101	49	37	output	output	NOUN
cana-3101	49	38	pairings	pairing	NOUN
cana-3101	49	39	,	,	PUNCT
cana-3101	49	40	demonstrated	demonstrate	VERB
cana-3101	49	41	superior	superior	ADJ
cana-3101	49	42	performance	performance	NOUN
cana-3101	49	43	compared	compare	VERB
cana-3101	49	44	to	to	ADP
cana-3101	49	45	a	a	DET
cana-3101	49	46	human	human	ADJ
cana-3101	49	47	specialist	specialist	NOUN
cana-3101	49	48	in	in	ADP
cana-3101	49	49	their	their	PRON
cana-3101	49	50	standard	standard	ADJ
cana-3101	49	51	workflow	workflow	NOUN
cana-3101	49	52	.	.	PUNCT
cana-3101	50	1	dnns	dnn	NOUN
cana-3101	50	2	require	require	VERB
cana-3101	50	3	substantial	substantial	ADJ
cana-3101	50	4	quantities	quantity	NOUN
cana-3101	50	5	of	of	ADP
cana-3101	50	6	labelled	label	VERB
cana-3101	50	7	data	datum	NOUN
cana-3101	50	8	and	and	CCONJ
cana-3101	50	9	present	present	VERB
cana-3101	50	10	various	various	ADJ
cana-3101	50	11	challenges	challenge	NOUN
cana-3101	50	12	for	for	ADP
cana-3101	50	13	medical	medical	ADJ
cana-3101	50	14	applications	application	NOUN
cana-3101	50	15	.	.	PUNCT
cana-3101	51	1	the	the	DET
cana-3101	51	2	volume	volume	NOUN
cana-3101	51	3	of	of	ADP
cana-3101	51	4	health	health	NOUN
cana-3101	51	5	data	datum	NOUN
cana-3101	51	6	gathered	gather	VERB
cana-3101	51	7	from	from	ADP
cana-3101	51	8	genetic	genetic	ADJ
cana-3101	51	9	sequences	sequence	NOUN
cana-3101	51	10	,	,	PUNCT
cana-3101	51	11	electronic	electronic	ADJ
cana-3101	51	12	health	health	NOUN
cana-3101	51	13	records	record	NOUN
cana-3101	51	14	,	,	PUNCT
cana-3101	51	15	and	and	CCONJ
cana-3101	51	16	digital	digital	ADJ
cana-3101	51	17	health	health	NOUN
cana-3101	51	18	wearables	wearable	NOUN
cana-3101	51	19	is	be	AUX
cana-3101	51	20	substantial	substantial	ADJ
cana-3101	51	21	,	,	PUNCT
cana-3101	51	22	making	make	VERB
cana-3101	51	23	it	it	PRON
cana-3101	51	24	challenging	challenging	ADJ
cana-3101	51	25	to	to	PART
cana-3101	51	26	analyse	analyse	VERB
cana-3101	51	27	without	without	ADP
cana-3101	51	28	the	the	DET
cana-3101	51	29	application	application	NOUN
cana-3101	51	30	of	of	ADP
cana-3101	51	31	ai	ai	NOUN
cana-3101	51	32	,	,	PUNCT
cana-3101	51	33	deep	deep	ADJ
cana-3101	51	34	learning	learning	NOUN
cana-3101	51	35	,	,	PUNCT
cana-3101	51	36	or	or	CCONJ
cana-3101	51	37	artificial	artificial	ADJ
cana-3101	51	38	neural	neural	ADJ
cana-3101	51	39	networks	network	NOUN
cana-3101	52	1	[	[	X
cana-3101	52	2	6–8	6–8	X
cana-3101	52	3	]	]	X
cana-3101	52	4	.	.	PUNCT
cana-3101	53	1	in	in	ADP
cana-3101	53	2	various	various	ADJ
cana-3101	53	3	areas	area	NOUN
cana-3101	53	4	,	,	PUNCT
cana-3101	53	5	such	such	ADJ
cana-3101	53	6	as	as	ADP
cana-3101	53	7	fraud	fraud	NOUN
cana-3101	53	8	detection	detection	NOUN
cana-3101	53	9	,	,	PUNCT
cana-3101	53	10	supply	supply	NOUN
cana-3101	53	11	chain	chain	NOUN
cana-3101	53	12	management	management	NOUN
cana-3101	53	13	,	,	PUNCT
cana-3101	53	14	agriculture	agriculture	NOUN
cana-3101	53	15	,	,	PUNCT
cana-3101	53	16	security	security	NOUN
cana-3101	53	17	,	,	PUNCT
cana-3101	53	18	quality	quality	NOUN
cana-3101	53	19	control	control	NOUN
cana-3101	53	20	,	,	PUNCT
cana-3101	53	21	and	and	CCONJ
cana-3101	53	22	sales	sale	NOUN
cana-3101	53	23	prediction	prediction	NOUN
cana-3101	53	24	,	,	PUNCT
cana-3101	53	25	machine	machine	NOUN
cana-3101	53	26	learning	learning	NOUN
cana-3101	53	27	(	(	PUNCT
cana-3101	53	28	ml	ml	NOUN
cana-3101	53	29	)	)	PUNCT
cana-3101	53	30	,	,	PUNCT
cana-3101	53	31	deep	deep	ADJ
cana-3101	53	32	learning	learning	NOUN
cana-3101	53	33	,	,	PUNCT
cana-3101	53	34	and	and	CCONJ
cana-3101	53	35	artificial	artificial	ADJ
cana-3101	53	36	intelligence	intelligence	NOUN
cana-3101	53	37	(	(	PUNCT
cana-3101	53	38	ai	ai	AUX
cana-3101	53	39	)	)	PUNCT
cana-3101	53	40	have	have	AUX
cana-3101	53	41	shown	show	VERB
cana-3101	53	42	the	the	DET
cana-3101	53	43	capability	capability	NOUN
cana-3101	53	44	to	to	PART
cana-3101	53	45	convert	convert	VERB
cana-3101	53	46	vast	vast	ADJ
cana-3101	53	47	amounts	amount	NOUN
cana-3101	53	48	of	of	ADP
cana-3101	53	49	unstructured	unstructured	ADJ
cana-3101	53	50	data	datum	NOUN
cana-3101	53	51	into	into	ADP
cana-3101	53	52	actionable	actionable	ADJ
cana-3101	53	53	insights	insight	NOUN
cana-3101	53	54	.	.	PUNCT
cana-3101	54	1	deep	deep	ADJ
cana-3101	54	2	learning	learning	NOUN
cana-3101	54	3	is	be	AUX
cana-3101	54	4	a	a	DET
cana-3101	54	5	sub	sub	NOUN
cana-3101	54	6	-	-	NOUN
cana-3101	54	7	discipline	discipline	NOUN
cana-3101	54	8	of	of	ADP
cana-3101	54	9	machine	machine	NOUN
cana-3101	54	10	learning	learning	NOUN
cana-3101	54	11	.	.	PUNCT
cana-3101	55	1	as	as	SCONJ
cana-3101	55	2	the	the	DET
cana-3101	55	3	use	use	NOUN
cana-3101	55	4	of	of	ADP
cana-3101	55	5	machine	machine	NOUN
cana-3101	55	6	learning	learning	NOUN
cana-3101	55	7	methods	method	NOUN
cana-3101	55	8	for	for	ADP
cana-3101	55	9	health	health	NOUN
cana-3101	55	10	-	-	PUNCT
cana-3101	55	11	related	relate	VERB
cana-3101	55	12	issues	issue	NOUN
cana-3101	55	13	continues	continue	VERB
cana-3101	55	14	to	to	PART
cana-3101	55	15	increase	increase	VERB
cana-3101	55	16	,	,	PUNCT
cana-3101	55	17	we	we	PRON
cana-3101	55	18	can	can	AUX
cana-3101	55	19	envision	envision	VERB
cana-3101	55	20	a	a	DET
cana-3101	55	21	future	future	NOUN
cana-3101	55	22	in	in	ADP
cana-3101	55	23	which	which	PRON
cana-3101	55	24	analysis	analysis	NOUN
cana-3101	55	25	,	,	PUNCT
cana-3101	55	26	data	datum	NOUN
cana-3101	55	27	,	,	PUNCT
cana-3101	55	28	and	and	CCONJ
cana-3101	55	29	innovation	innovation	NOUN
cana-3101	55	30	collaborate	collaborate	VERB
cana-3101	55	31	to	to	PART
cana-3101	55	32	support	support	VERB
cana-3101	55	33	individuals	individual	NOUN
cana-3101	55	34	without	without	ADP
cana-3101	55	35	compromising	compromise	VERB
cana-3101	55	36	their	their	PRON
cana-3101	55	37	information	information	NOUN
cana-3101	55	38	.	.	PUNCT
cana-3101	56	1	currently	currently	ADV
cana-3101	56	2	,	,	PUNCT
cana-3101	56	3	machine	machine	NOUN
cana-3101	56	4	-	-	PUNCT
cana-3101	56	5	learning	learning	NOUN
cana-3101	56	6	-	-	PUNCT
cana-3101	56	7	based	base	VERB
cana-3101	56	8	appliances	appliance	NOUN
cana-3101	56	9	that	that	PRON
cana-3101	56	10	incorporate	incorporate	VERB
cana-3101	56	11	real	real	ADJ
cana-3101	56	12	-	-	PUNCT
cana-3101	56	13	time	time	NOUN
cana-3101	56	14	patient	patient	NOUN
cana-3101	56	15	communications	communication	NOUN
cana-3101	56	16	on	on	ADP
cana-3101	56	17	applied	apply	VERB
cana-3101	56	18	nonlinear	nonlinear	ADJ
cana-3101	56	19	analysis	analysis	NOUN
cana-3101	56	20	issn	issn	NOUN
cana-3101	56	21	:	:	PUNCT
cana-3101	56	22	1074	1074	NUM
cana-3101	56	23	-	-	PUNCT
cana-3101	56	24	133x	133x	NUM
cana-3101	56	25	vol	vol	NOUN
cana-3101	56	26	32	32	NUM
cana-3101	56	27	no	no	NOUN
cana-3101	56	28	.	.	PUNCT
cana-3101	57	1	5s	5s	NUM
cana-3101	57	2	(	(	PUNCT
cana-3101	57	3	2025	2025	NUM
cana-3101	57	4	)	)	PUNCT
cana-3101	57	5	305	305	NUM
cana-3101	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	57	7	records	record	NOUN
cana-3101	57	8	from	from	ADP
cana-3101	57	9	various	various	ADJ
cana-3101	57	10	healthcare	healthcare	NOUN
cana-3101	57	11	organizations	organization	NOUN
cana-3101	57	12	across	across	ADP
cana-3101	57	13	multiple	multiple	ADJ
cana-3101	57	14	countries	country	NOUN
cana-3101	57	15	are	be	AUX
cana-3101	57	16	becoming	become	VERB
cana-3101	57	17	standard	standard	ADJ
cana-3101	57	18	,	,	PUNCT
cana-3101	57	19	enhancing	enhance	VERB
cana-3101	57	20	the	the	DET
cana-3101	57	21	effectiveness	effectiveness	NOUN
cana-3101	57	22	of	of	ADP
cana-3101	57	23	previously	previously	ADV
cana-3101	57	24	inaccessible	inaccessible	ADJ
cana-3101	57	25	treatment	treatment	NOUN
cana-3101	57	26	options	option	NOUN
cana-3101	57	27	[	[	X
cana-3101	57	28	9	9	NUM
cana-3101	57	29	,	,	PUNCT
cana-3101	57	30	10	10	NUM
cana-3101	57	31	]	]	PUNCT
cana-3101	57	32	.	.	PUNCT
cana-3101	58	1	ai	ai	PROPN
cana-3101	58	2	is	be	AUX
cana-3101	58	3	the	the	DET
cana-3101	58	4	development	development	NOUN
cana-3101	58	5	of	of	ADP
cana-3101	58	6	a	a	DET
cana-3101	58	7	system	system	NOUN
cana-3101	58	8	that	that	PRON
cana-3101	58	9	emulates	emulate	VERB
cana-3101	58	10	human	human	ADJ
cana-3101	58	11	cognitive	cognitive	ADJ
cana-3101	58	12	processes	process	NOUN
cana-3101	58	13	,	,	PUNCT
cana-3101	58	14	enabling	enable	VERB
cana-3101	58	15	the	the	DET
cana-3101	58	16	analysis	analysis	NOUN
cana-3101	58	17	of	of	ADP
cana-3101	58	18	natural	natural	ADJ
cana-3101	58	19	language	language	NOUN
cana-3101	58	20	and	and	CCONJ
cana-3101	58	21	strategizing	strategizing	NOUN
cana-3101	58	22	,	,	PUNCT
cana-3101	58	23	perceiving	perceive	VERB
cana-3101	58	24	,	,	PUNCT
cana-3101	58	25	and	and	CCONJ
cana-3101	58	26	navigating	navigate	VERB
cana-3101	58	27	information	information	NOUN
cana-3101	58	28	to	to	PART
cana-3101	58	29	facilitate	facilitate	VERB
cana-3101	58	30	decision	decision	NOUN
cana-3101	58	31	making	make	VERB
cana-3101	58	32	with	with	ADP
cana-3101	58	33	minimal	minimal	ADJ
cana-3101	58	34	human	human	ADJ
cana-3101	58	35	involvement	involvement	NOUN
cana-3101	58	36	.	.	PUNCT
cana-3101	59	1	machine	machine	NOUN
cana-3101	59	2	and	and	CCONJ
cana-3101	59	3	deeplearning	deeplearne	VERB
cana-3101	59	4	techniques	technique	NOUN
cana-3101	59	5	have	have	AUX
cana-3101	59	6	been	be	AUX
cana-3101	59	7	used	use	VERB
cana-3101	59	8	in	in	ADP
cana-3101	59	9	the	the	DET
cana-3101	59	10	field	field	NOUN
cana-3101	59	11	of	of	ADP
cana-3101	59	12	artificial	artificial	ADJ
cana-3101	59	13	intelligence	intelligence	NOUN
cana-3101	59	14	.	.	PUNCT
cana-3101	60	1	numerous	numerous	ADJ
cana-3101	60	2	small	small	ADJ
cana-3101	60	3	businesses	business	NOUN
cana-3101	60	4	,	,	PUNCT
cana-3101	60	5	individuals	individual	NOUN
cana-3101	60	6	,	,	PUNCT
cana-3101	60	7	government	government	NOUN
cana-3101	60	8	entities	entity	NOUN
cana-3101	60	9	,	,	PUNCT
cana-3101	60	10	and	and	CCONJ
cana-3101	60	11	organizations	organization	NOUN
cana-3101	60	12	utilize	utilize	VERB
cana-3101	60	13	machine	machine	NOUN
cana-3101	60	14	learning	learning	NOUN
cana-3101	60	15	and	and	CCONJ
cana-3101	60	16	deep	deep	ADJ
cana-3101	60	17	learning	learning	NOUN
cana-3101	60	18	to	to	PART
cana-3101	60	19	analyse	analyse	VERB
cana-3101	60	20	complex	complex	ADJ
cana-3101	60	21	and	and	CCONJ
cana-3101	60	22	varied	varied	ADJ
cana-3101	60	23	data	datum	NOUN
cana-3101	60	24	,	,	PUNCT
cana-3101	60	25	aiming	aim	VERB
cana-3101	60	26	to	to	PART
cana-3101	60	27	achieve	achieve	VERB
cana-3101	60	28	multiple	multiple	ADJ
cana-3101	60	29	objectives	objective	NOUN
cana-3101	60	30	such	such	ADJ
cana-3101	60	31	as	as	ADP
cana-3101	60	32	enhancing	enhance	VERB
cana-3101	60	33	profitability	profitability	NOUN
cana-3101	60	34	,	,	PUNCT
cana-3101	60	35	predicting	predict	VERB
cana-3101	60	36	sales	sale	NOUN
cana-3101	60	37	,	,	PUNCT
cana-3101	60	38	reducing	reduce	VERB
cana-3101	60	39	production	production	NOUN
cana-3101	60	40	costs	cost	NOUN
cana-3101	60	41	,	,	PUNCT
cana-3101	60	42	and	and	CCONJ
cana-3101	60	43	optimizing	optimize	VERB
cana-3101	60	44	supply	supply	NOUN
cana-3101	60	45	chain	chain	NOUN
cana-3101	60	46	management	management	NOUN
cana-3101	60	47	.	.	PUNCT
cana-3101	61	1	al	al	PROPN
cana-3101	61	2	,	,	PUNCT
cana-3101	61	3	ml	ml	ADP
cana-3101	61	4	,	,	PUNCT
cana-3101	61	5	and	and	CCONJ
cana-3101	61	6	dl	dl	PROPN
cana-3101	61	7	have	have	AUX
cana-3101	61	8	been	be	AUX
cana-3101	61	9	identified	identify	VERB
cana-3101	61	10	as	as	ADP
cana-3101	61	11	significant	significant	ADJ
cana-3101	61	12	contributors	contributor	NOUN
cana-3101	61	13	to	to	ADP
cana-3101	61	14	healthcare	healthcare	PROPN
cana-3101	61	15	data	datum	NOUN
cana-3101	61	16	management	management	NOUN
cana-3101	61	17	,	,	PUNCT
cana-3101	61	18	as	as	SCONJ
cana-3101	61	19	demonstrated	demonstrate	VERB
cana-3101	61	20	in	in	ADP
cana-3101	61	21	the	the	DET
cana-3101	61	22	classification	classification	NOUN
cana-3101	61	23	of	of	ADP
cana-3101	61	24	ml	ml	PROPN
cana-3101	61	25	,	,	PUNCT
cana-3101	61	26	al	al	PROPN
cana-3101	61	27	,	,	PUNCT
cana-3101	61	28	and	and	CCONJ
cana-3101	61	29	dl	dl	PROPN
cana-3101	61	30	.	.	PUNCT
cana-3101	62	1	[	[	X
cana-3101	62	2	11	11	NUM
cana-3101	62	3	]	]	PUNCT
cana-3101	62	4	,	,	PUNCT
cana-3101	63	1	[	[	X
cana-3101	63	2	12	12	NUM
cana-3101	63	3	]	]	PUNCT
cana-3101	63	4	,	,	PUNCT
cana-3101	63	5	[	[	X
cana-3101	63	6	13	13	NUM
cana-3101	63	7	]	]	PUNCT
cana-3101	63	8	,	,	PUNCT
cana-3101	63	9	[	[	X
cana-3101	63	10	14	14	NUM
cana-3101	63	11	]	]	SYM
cana-3101	63	12	.	.	PUNCT
cana-3101	64	1	2	2	X
cana-3101	64	2	.	.	X
cana-3101	64	3	literature	literature	NOUN
cana-3101	64	4	review	review	PROPN
cana-3101	64	5	machine	machine	NOUN
cana-3101	64	6	learning	learning	NOUN
cana-3101	64	7	(	(	PUNCT
cana-3101	64	8	ml	ml	NOUN
cana-3101	64	9	)	)	PUNCT
cana-3101	64	10	and	and	CCONJ
cana-3101	64	11	deep	deep	ADJ
cana-3101	64	12	learning	learning	NOUN
cana-3101	64	13	networks	network	NOUN
cana-3101	64	14	(	(	PUNCT
cana-3101	64	15	dln	dln	NOUN
cana-3101	64	16	)	)	PUNCT
cana-3101	64	17	have	have	AUX
cana-3101	64	18	made	make	VERB
cana-3101	64	19	significant	significant	ADJ
cana-3101	64	20	progress	progress	NOUN
cana-3101	64	21	in	in	ADP
cana-3101	64	22	recent	recent	ADJ
cana-3101	64	23	years	year	NOUN
cana-3101	64	24	,	,	PUNCT
cana-3101	64	25	not	not	PART
cana-3101	64	26	only	only	ADV
cana-3101	64	27	in	in	ADP
cana-3101	64	28	voice	voice	NOUN
cana-3101	64	29	recognition	recognition	NOUN
cana-3101	64	30	and	and	CCONJ
cana-3101	64	31	image	image	NOUN
cana-3101	64	32	processing	processing	NOUN
cana-3101	64	33	,	,	PUNCT
cana-3101	64	34	but	but	CCONJ
cana-3101	64	35	also	also	ADV
cana-3101	64	36	in	in	ADP
cana-3101	64	37	the	the	DET
cana-3101	64	38	detection	detection	NOUN
cana-3101	64	39	of	of	ADP
cana-3101	64	40	heart	heart	NOUN
cana-3101	64	41	conditions	condition	NOUN
cana-3101	64	42	based	base	VERB
cana-3101	64	43	on	on	ADP
cana-3101	64	44	ecg	ecg	PROPN
cana-3101	64	45	readings	reading	NOUN
cana-3101	64	46	.	.	PUNCT
cana-3101	65	1	reference	reference	NOUN
cana-3101	65	2	[	[	X
cana-3101	65	3	11	11	NUM
cana-3101	65	4	]	]	PUNCT
cana-3101	65	5	recently	recently	ADV
cana-3101	65	6	published	publish	VERB
cana-3101	65	7	a	a	DET
cana-3101	65	8	compelling	compelling	ADJ
cana-3101	65	9	investigation	investigation	NOUN
cana-3101	65	10	of	of	ADP
cana-3101	65	11	the	the	DET
cana-3101	65	12	application	application	NOUN
cana-3101	65	13	of	of	ADP
cana-3101	65	14	dnns	dnn	NOUN
cana-3101	65	15	in	in	ADP
cana-3101	65	16	ecg	ecg	PROPN
cana-3101	65	17	research	research	NOUN
cana-3101	65	18	.	.	PUNCT
cana-3101	66	1	when	when	SCONJ
cana-3101	66	2	trained	train	VERB
cana-3101	66	3	on	on	ADP
cana-3101	66	4	publicly	publicly	ADV
cana-3101	66	5	accessible	accessible	ADJ
cana-3101	66	6	datasets	dataset	NOUN
cana-3101	66	7	,	,	PUNCT
cana-3101	66	8	deep	deep	ADJ
cana-3101	66	9	neural	neural	ADJ
cana-3101	66	10	networks	network	NOUN
cana-3101	66	11	have	have	VERB
cana-3101	66	12	the	the	DET
cana-3101	66	13	potential	potential	NOUN
cana-3101	66	14	to	to	PART
cana-3101	66	15	achieve	achieve	VERB
cana-3101	66	16	a	a	DET
cana-3101	66	17	performance	performance	NOUN
cana-3101	66	18	comparable	comparable	ADJ
cana-3101	66	19	to	to	ADP
cana-3101	66	20	state	state	NOUN
cana-3101	66	21	-	-	PUNCT
cana-3101	66	22	of	of	ADP
cana-3101	66	23	-	-	PUNCT
cana-3101	66	24	the	the	DET
cana-3101	66	25	-	-	PUNCT
cana-3101	66	26	art	art	NOUN
cana-3101	66	27	techniques	technique	NOUN
cana-3101	66	28	for	for	ADP
cana-3101	66	29	single	single	ADJ
cana-3101	66	30	-	-	PUNCT
cana-3101	66	31	lead	lead	NOUN
cana-3101	66	32	ecgs	ecgs	NOUN
cana-3101	66	33	,	,	PUNCT
cana-3101	66	34	and	and	CCONJ
cana-3101	66	35	with	with	ADP
cana-3101	66	36	an	an	DET
cana-3101	66	37	adequately	adequately	ADV
cana-3101	66	38	sized	sized	ADJ
cana-3101	66	39	training	training	NOUN
cana-3101	66	40	dataset	dataset	NOUN
cana-3101	66	41	,	,	PUNCT
cana-3101	66	42	they	they	PRON
cana-3101	66	43	may	may	AUX
cana-3101	66	44	surpass	surpass	VERB
cana-3101	66	45	the	the	DET
cana-3101	66	46	capabilities	capability	NOUN
cana-3101	66	47	of	of	ADP
cana-3101	66	48	practicing	practice	VERB
cana-3101	66	49	cardiologists	cardiologist	NOUN
cana-3101	66	50	.	.	PUNCT
cana-3101	67	1	nonetheless	nonetheless	ADV
cana-3101	67	2	,	,	PUNCT
cana-3101	67	3	as	as	SCONJ
cana-3101	67	4	indicated	indicate	VERB
cana-3101	67	5	by	by	ADP
cana-3101	67	6	the	the	DET
cana-3101	67	7	authors	author	NOUN
cana-3101	67	8	,	,	PUNCT
cana-3101	67	9	it	it	PRON
cana-3101	67	10	remains	remain	VERB
cana-3101	67	11	uncertain	uncertain	ADJ
cana-3101	67	12	whether	whether	SCONJ
cana-3101	67	13	this	this	DET
cana-3101	67	14	technology	technology	NOUN
cana-3101	67	15	is	be	AUX
cana-3101	67	16	effective	effective	ADJ
cana-3101	67	17	in	in	ADP
cana-3101	67	18	practical	practical	ADJ
cana-3101	67	19	scenarios	scenario	NOUN
cana-3101	67	20	;	;	PUNCT
cana-3101	67	21	12	12	NUM
cana-3101	67	22	-	-	PUNCT
cana-3101	67	23	lead	lead	NOUN
cana-3101	67	24	ecgs	ecgs	NOUN
cana-3101	67	25	are	be	AUX
cana-3101	67	26	the	the	DET
cana-3101	67	27	standard	standard	ADJ
cana-3101	67	28	method	method	NOUN
cana-3101	67	29	[	[	X
cana-3101	67	30	11	11	NUM
cana-3101	67	31	]	]	PUNCT
cana-3101	67	32	.	.	PUNCT
cana-3101	68	1	the	the	DET
cana-3101	68	2	s12l	s12l	PROPN
cana-3101	68	3	-	-	PUNCT
cana-3101	68	4	ecg	ecg	PROPN
cana-3101	68	5	(	(	PUNCT
cana-3101	68	6	short	short	ADJ
cana-3101	68	7	-	-	PUNCT
cana-3101	68	8	duration	duration	NOUN
cana-3101	68	9	,	,	PUNCT
cana-3101	68	10	standard	standard	NOUN
cana-3101	68	11	,	,	PUNCT
cana-3101	68	12	12	12	NUM
cana-3101	68	13	-	-	PUNCT
cana-3101	68	14	lead	lead	NOUN
cana-3101	68	15	electrocardiogram	electrocardiogram	NOUN
cana-3101	68	16	)	)	PUNCT
cana-3101	68	17	is	be	AUX
cana-3101	68	18	the	the	DET
cana-3101	68	19	most	most	ADV
cana-3101	68	20	frequently	frequently	ADV
cana-3101	68	21	utilized	utilize	VERB
cana-3101	68	22	supplementary	supplementary	ADJ
cana-3101	68	23	examination	examination	NOUN
cana-3101	68	24	for	for	ADP
cana-3101	68	25	assessing	assess	VERB
cana-3101	68	26	cardiac	cardiac	ADJ
cana-3101	68	27	function	function	NOUN
cana-3101	68	28	and	and	CCONJ
cana-3101	68	29	is	be	AUX
cana-3101	68	30	applicable	applicable	ADJ
cana-3101	68	31	across	across	ADP
cana-3101	68	32	various	various	ADJ
cana-3101	68	33	clinical	clinical	ADJ
cana-3101	68	34	environments	environment	NOUN
cana-3101	68	35	,	,	PUNCT
cana-3101	68	36	from	from	ADP
cana-3101	68	37	primary	primary	ADJ
cana-3101	68	38	care	care	NOUN
cana-3101	68	39	facilities	facility	NOUN
cana-3101	68	40	to	to	ADP
cana-3101	68	41	intensive	intensive	ADJ
cana-3101	68	42	care	care	NOUN
cana-3101	68	43	units	unit	NOUN
cana-3101	68	44	.	.	PUNCT
cana-3101	69	1	while	while	SCONJ
cana-3101	69	2	monitoring	monitor	VERB
cana-3101	69	3	cardiac	cardiac	ADJ
cana-3101	69	4	activity	activity	NOUN
cana-3101	69	5	,	,	PUNCT
cana-3101	69	6	such	such	ADJ
cana-3101	69	7	as	as	ADP
cana-3101	69	8	through	through	ADP
cana-3101	69	9	the	the	DET
cana-3101	69	10	holter	holter	ADJ
cana-3101	69	11	test	test	NOUN
cana-3101	69	12	,	,	PUNCT
cana-3101	69	13	which	which	PRON
cana-3101	69	14	emphasizes	emphasize	VERB
cana-3101	69	15	cardiac	cardiac	ADJ
cana-3101	69	16	rhythm	rhythm	NOUN
cana-3101	69	17	,	,	PUNCT
cana-3101	69	18	the	the	DET
cana-3101	69	19	s12l	s12l	PROPN
cana-3101	69	20	-	-	PUNCT
cana-3101	69	21	ecg	ecg	PROPN
cana-3101	69	22	provides	provide	VERB
cana-3101	69	23	a	a	DET
cana-3101	69	24	thorough	thorough	ADJ
cana-3101	69	25	evaluation	evaluation	NOUN
cana-3101	69	26	of	of	ADP
cana-3101	69	27	the	the	DET
cana-3101	69	28	electrical	electrical	ADJ
cana-3101	69	29	activity	activity	NOUN
cana-3101	69	30	of	of	ADP
cana-3101	69	31	the	the	DET
cana-3101	69	32	heart	heart	NOUN
cana-3101	69	33	.	.	PUNCT
cana-3101	70	1	examples	example	NOUN
cana-3101	70	2	include	include	VERB
cana-3101	70	3	conduction	conduction	NOUN
cana-3101	70	4	abnormalities	abnormality	NOUN
cana-3101	70	5	,	,	PUNCT
cana-3101	70	6	arrhythmias	arrhythmia	NOUN
cana-3101	70	7	,	,	PUNCT
cana-3101	70	8	cardiac	cardiac	ADJ
cana-3101	70	9	chamber	chamber	NOUN
cana-3101	70	10	hypertrophy	hypertrophy	NOUN
cana-3101	70	11	,	,	PUNCT
cana-3101	70	12	acute	acute	ADJ
cana-3101	70	13	coronary	coronary	ADJ
cana-3101	70	14	enlargement	enlargement	NOUN
cana-3101	70	15	,	,	PUNCT
cana-3101	70	16	medications	medication	NOUN
cana-3101	70	17	and	and	CCONJ
cana-3101	70	18	electrolyte	electrolyte	ADJ
cana-3101	70	19	disorders	disorder	NOUN
cana-3101	70	20	.	.	PUNCT
cana-3101	71	1	a	a	DET
cana-3101	71	2	dl	dl	PROPN
cana-3101	71	3	method	method	NOUN
cana-3101	71	4	that	that	PRON
cana-3101	71	5	enables	enable	VERB
cana-3101	71	6	a	a	DET
cana-3101	71	7	precise	precise	ADJ
cana-3101	71	8	s12l	s12l	ADJ
cana-3101	71	9	-	-	PUNCT
cana-3101	71	10	ecg	ecg	ADJ
cana-3101	71	11	analysis	analysis	NOUN
cana-3101	71	12	would	would	AUX
cana-3101	71	13	yield	yield	VERB
cana-3101	71	14	significant	significant	ADJ
cana-3101	71	15	benefits	benefit	NOUN
cana-3101	71	16	.	.	PUNCT
cana-3101	72	1	s12l	s12l	VERB
cana-3101	72	2	-	-	PUNCT
cana-3101	72	3	ecgs	ecgs	PROPN
cana-3101	72	4	are	be	AUX
cana-3101	72	5	often	often	ADV
cana-3101	72	6	conducted	conduct	VERB
cana-3101	72	7	in	in	ADP
cana-3101	72	8	environments	environment	NOUN
cana-3101	72	9	that	that	PRON
cana-3101	72	10	lack	lack	VERB
cana-3101	72	11	qualified	qualified	ADJ
cana-3101	72	12	personnel	personnel	NOUN
cana-3101	72	13	to	to	PART
cana-3101	72	14	assess	assess	VERB
cana-3101	72	15	and	and	CCONJ
cana-3101	72	16	interpret	interpret	VERB
cana-3101	72	17	ecg	ecg	PROPN
cana-3101	72	18	tracings	tracing	NOUN
cana-3101	72	19	,	,	PUNCT
cana-3101	72	20	including	include	VERB
cana-3101	72	21	primary	primary	ADJ
cana-3101	72	22	care	care	NOUN
cana-3101	72	23	facilities	facility	NOUN
cana-3101	72	24	and	and	CCONJ
cana-3101	72	25	emergency	emergency	NOUN
cana-3101	72	26	departments	department	NOUN
cana-3101	72	27	.	.	PUNCT
cana-3101	73	1	the	the	DET
cana-3101	73	2	interpretation	interpretation	NOUN
cana-3101	73	3	of	of	ADP
cana-3101	73	4	s12ecgs	s12ecgs	PROPN
cana-3101	73	5	reveals	reveal	VERB
cana-3101	73	6	that	that	SCONJ
cana-3101	73	7	primary	primary	ADJ
cana-3101	73	8	facilities	facility	NOUN
cana-3101	73	9	and	and	CCONJ
cana-3101	73	10	emergency	emergency	PROPN
cana-3101	73	11	department	department	PROPN
cana-3101	73	12	health	health	NOUN
cana-3101	73	13	providers	provider	NOUN
cana-3101	73	14	exhibit	exhibit	VERB
cana-3101	73	15	limited	limit	VERB
cana-3101	73	16	diagnostic	diagnostic	ADJ
cana-3101	73	17	capabilities	capability	NOUN
cana-3101	74	1	[	[	X
cana-3101	74	2	12	12	NUM
cana-3101	74	3	,	,	PUNCT
cana-3101	74	4	13	13	NUM
cana-3101	74	5	]	]	PUNCT
cana-3101	74	6	.	.	PUNCT
cana-3101	75	1	pawiak	pawiak	PROPN
cana-3101	75	2	and	and	CCONJ
cana-3101	75	3	acharya	acharya	PROPN
cana-3101	75	4	(	(	PUNCT
cana-3101	75	5	2020	2020	NUM
cana-3101	75	6	)	)	PUNCT
cana-3101	75	7	employed	employ	VERB
cana-3101	75	8	a	a	DET
cana-3101	75	9	deep	deep	ADJ
cana-3101	75	10	genetic	genetic	ADJ
cana-3101	75	11	ensemble	ensemble	NOUN
cana-3101	75	12	of	of	ADP
cana-3101	75	13	classifiers	classifier	NOUN
cana-3101	75	14	to	to	PART
cana-3101	75	15	classify	classify	VERB
cana-3101	75	16	long	long	ADJ
cana-3101	75	17	-	-	PUNCT
cana-3101	75	18	duration	duration	NOUN
cana-3101	75	19	ecg	ecg	PROPN
cana-3101	75	20	signals	signal	NOUN
cana-3101	75	21	(	(	PUNCT
cana-3101	75	22	10	10	NUM
cana-3101	75	23	seconds	second	NOUN
cana-3101	75	24	)	)	PUNCT
cana-3101	75	25	.	.	PUNCT
cana-3101	76	1	gao	gao	PROPN
cana-3101	76	2	et	et	PROPN
cana-3101	76	3	al	al	PROPN
cana-3101	76	4	.	.	PROPN
cana-3101	77	1	(	(	PUNCT
cana-3101	77	2	2019	2019	NUM
cana-3101	77	3	)	)	PUNCT
cana-3101	77	4	employed	employ	VERB
cana-3101	77	5	an	an	DET
cana-3101	77	6	efficient	efficient	ADJ
cana-3101	77	7	long	long	ADJ
cana-3101	77	8	short	short	ADJ
cana-3101	77	9	-	-	PUNCT
cana-3101	77	10	term	term	NOUN
cana-3101	77	11	memory	memory	NOUN
cana-3101	77	12	(	(	PUNCT
cana-3101	77	13	lstm	lstm	ADJ
cana-3101	77	14	)	)	PUNCT
cana-3101	77	15	recurrent	recurrent	ADJ
cana-3101	77	16	network	network	NOUN
cana-3101	77	17	model	model	NOUN
cana-3101	77	18	to	to	PART
cana-3101	77	19	classify	classify	VERB
cana-3101	77	20	eight	eight	NUM
cana-3101	77	21	distinct	distinct	ADJ
cana-3101	77	22	heartbeat	heartbeat	NOUN
cana-3101	77	23	types	type	NOUN
cana-3101	77	24	.	.	PUNCT
cana-3101	78	1	to	to	PART
cana-3101	78	2	classify	classify	VERB
cana-3101	78	3	five	five	NUM
cana-3101	78	4	distinct	distinct	ADJ
cana-3101	78	5	heartbeats	heartbeat	NOUN
cana-3101	78	6	,	,	PUNCT
cana-3101	78	7	[	[	X
cana-3101	78	8	16	16	NUM
cana-3101	78	9	]	]	PUNCT
cana-3101	78	10	proposed	propose	VERB
cana-3101	78	11	an	an	DET
cana-3101	78	12	optimization	optimization	NOUN
cana-3101	78	13	-	-	PUNCT
cana-3101	78	14	driven	drive	VERB
cana-3101	78	15	deep	deep	ADJ
cana-3101	78	16	convolutional	convolutional	ADJ
cana-3101	78	17	neural	neural	ADJ
cana-3101	78	18	network	network	NOUN
cana-3101	78	19	(	(	PUNCT
cana-3101	78	20	cnn	cnn	PROPN
cana-3101	78	21	)	)	PUNCT
cana-3101	78	22	.	.	PUNCT
cana-3101	79	1	unlike	unlike	ADP
cana-3101	79	2	conventional	conventional	ADJ
cana-3101	79	3	neural	neural	ADJ
cana-3101	79	4	networks	network	NOUN
cana-3101	79	5	,	,	PUNCT
cana-3101	79	6	they	they	PRON
cana-3101	79	7	can	can	AUX
cana-3101	79	8	automatically	automatically	ADV
cana-3101	79	9	extract	extract	VERB
cana-3101	79	10	features	feature	NOUN
cana-3101	79	11	,	,	PUNCT
cana-3101	79	12	identify	identify	VERB
cana-3101	79	13	intricate	intricate	ADJ
cana-3101	79	14	data	datum	NOUN
cana-3101	79	15	patterns	pattern	NOUN
cana-3101	79	16	,	,	PUNCT
cana-3101	79	17	and	and	CCONJ
cana-3101	79	18	eliminate	eliminate	VERB
cana-3101	79	19	the	the	DET
cana-3101	79	20	need	need	NOUN
cana-3101	79	21	for	for	ADP
cana-3101	79	22	complex	complex	ADJ
cana-3101	79	23	signal	signal	ADJ
cana-3101	79	24	preparations	preparation	NOUN
cana-3101	79	25	.	.	PUNCT
cana-3101	80	1	deep	deep	ADJ
cana-3101	80	2	learning	learning	NOUN
cana-3101	80	3	networks	network	NOUN
cana-3101	80	4	exhibit	exhibit	VERB
cana-3101	80	5	enhanced	enhance	VERB
cana-3101	80	6	nonlinear	nonlinear	ADJ
cana-3101	80	7	fitting	fitting	ADJ
cana-3101	80	8	capabilities	capability	NOUN
cana-3101	80	9	,	,	PUNCT
cana-3101	80	10	enabling	enable	VERB
cana-3101	80	11	them	they	PRON
cana-3101	80	12	to	to	PART
cana-3101	80	13	recognize	recognize	VERB
cana-3101	80	14	single	single	ADJ
cana-3101	80	15	-	-	PUNCT
cana-3101	80	16	lead	lead	NOUN
cana-3101	80	17	,	,	PUNCT
cana-3101	80	18	multiclass	multiclass	ADJ
cana-3101	80	19	,	,	PUNCT
cana-3101	80	20	and	and	CCONJ
cana-3101	80	21	imbalanced	imbalance	VERB
cana-3101	80	22	ecg	ecg	PROPN
cana-3101	80	23	datasets	dataset	NOUN
cana-3101	80	24	more	more	ADV
cana-3101	80	25	effectively	effectively	ADV
cana-3101	80	26	[	[	X
cana-3101	80	27	17	17	NUM
cana-3101	80	28	]	]	PUNCT
cana-3101	80	29	.	.	PUNCT
cana-3101	81	1	a	a	DET
cana-3101	81	2	cnn	cnn	PROPN
cana-3101	81	3	is	be	AUX
cana-3101	81	4	a	a	DET
cana-3101	81	5	feedforward	feedforward	ADJ
cana-3101	81	6	neural	neural	ADJ
cana-3101	81	7	network	network	NOUN
cana-3101	81	8	that	that	PRON
cana-3101	81	9	has	have	AUX
cana-3101	81	10	been	be	AUX
cana-3101	81	11	widely	widely	ADV
cana-3101	81	12	employed	employ	VERB
cana-3101	81	13	in	in	ADP
cana-3101	81	14	deep	deep	ADJ
cana-3101	81	15	learning	learning	NOUN
cana-3101	81	16	for	for	ADP
cana-3101	81	17	the	the	DET
cana-3101	81	18	classification	classification	NOUN
cana-3101	81	19	of	of	ADP
cana-3101	81	20	arrhythmia	arrhythmia	NOUN
cana-3101	81	21	ecg	ecg	PROPN
cana-3101	81	22	signals	signal	NOUN
cana-3101	81	23	.	.	PUNCT
cana-3101	82	1	most	most	ADJ
cana-3101	82	2	previous	previous	ADJ
cana-3101	82	3	studies	study	NOUN
cana-3101	82	4	[	[	X
cana-3101	82	5	16	16	NUM
cana-3101	82	6	,	,	PUNCT
cana-3101	82	7	17	17	NUM
cana-3101	82	8	,	,	PUNCT
cana-3101	82	9	18	18	NUM
cana-3101	82	10	]	]	PUNCT
cana-3101	82	11	have	have	AUX
cana-3101	82	12	focused	focus	VERB
cana-3101	82	13	on	on	ADP
cana-3101	82	14	the	the	DET
cana-3101	82	15	communications	communication	NOUN
cana-3101	82	16	on	on	ADP
cana-3101	82	17	applied	apply	VERB
cana-3101	82	18	nonlinear	nonlinear	ADJ
cana-3101	82	19	analysis	analysis	NOUN
cana-3101	82	20	issn	issn	NOUN
cana-3101	82	21	:	:	PUNCT
cana-3101	82	22	1074	1074	NUM
cana-3101	82	23	-	-	PUNCT
cana-3101	82	24	133x	133x	NUM
cana-3101	82	25	vol	vol	NOUN
cana-3101	82	26	32	32	NUM
cana-3101	82	27	no	no	NOUN
cana-3101	82	28	.	.	PUNCT
cana-3101	83	1	5s	5s	NUM
cana-3101	83	2	(	(	PUNCT
cana-3101	83	3	2025	2025	NUM
cana-3101	83	4	)	)	PUNCT
cana-3101	83	5	306	306	NUM
cana-3101	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	83	7	identification	identification	NOUN
cana-3101	83	8	of	of	ADP
cana-3101	83	9	five	five	NUM
cana-3101	83	10	main	main	ADJ
cana-3101	83	11	macro	macro	ADJ
cana-3101	83	12	groups	group	NOUN
cana-3101	83	13	:	:	PUNCT
cana-3101	83	14	ventricular	ventricular	ADJ
cana-3101	83	15	ectopic	ectopic	NOUN
cana-3101	83	16	(	(	PUNCT
cana-3101	83	17	v	v	NOUN
cana-3101	83	18	)	)	PUNCT
cana-3101	83	19	,	,	PUNCT
cana-3101	83	20	non	non	ADJ
cana-3101	83	21	-	-	ADJ
cana-3101	83	22	ectopic	ectopic	ADJ
cana-3101	83	23	(	(	PUNCT
cana-3101	83	24	n	n	CCONJ
cana-3101	83	25	)	)	PUNCT
cana-3101	83	26	,	,	PUNCT
cana-3101	83	27	fusion	fusion	NOUN
cana-3101	83	28	(	(	PUNCT
cana-3101	83	29	f	f	X
cana-3101	83	30	)	)	PUNCT
cana-3101	83	31	,	,	PUNCT
cana-3101	83	32	supraventricular	supraventricular	ADJ
cana-3101	83	33	ectopic	ectopic	NOUN
cana-3101	83	34	(	(	PUNCT
cana-3101	83	35	s	s	NOUN
cana-3101	83	36	)	)	PUNCT
cana-3101	83	37	,	,	PUNCT
cana-3101	83	38	and	and	CCONJ
cana-3101	83	39	unknown	unknown	ADJ
cana-3101	83	40	(	(	PUNCT
cana-3101	83	41	u	u	NOUN
cana-3101	83	42	)	)	PUNCT
cana-3101	83	43	(	(	PUNCT
cana-3101	83	44	q	q	NOUN
cana-3101	83	45	)	)	PUNCT
cana-3101	83	46	.	.	PUNCT
cana-3101	84	1	biel	biel	PROPN
cana-3101	84	2	et	et	PROPN
cana-3101	84	3	al	al	PROPN
cana-3101	84	4	.	.	PUNCT
cana-3101	85	1	[	[	X
cana-3101	85	2	19	19	NUM
cana-3101	85	3	]	]	X
cana-3101	85	4	utilized	utilize	VERB
cana-3101	85	5	fiducial	fiducial	NOUN
cana-3101	85	6	points	point	NOUN
cana-3101	85	7	from	from	ADP
cana-3101	85	8	a	a	DET
cana-3101	85	9	standard	standard	ADJ
cana-3101	85	10	12	12	NUM
cana-3101	85	11	-	-	PUNCT
cana-3101	85	12	lead	lead	NOUN
cana-3101	85	13	ecg	ecg	PROPN
cana-3101	85	14	to	to	PART
cana-3101	85	15	delineate	delineate	VERB
cana-3101	85	16	features	feature	NOUN
cana-3101	85	17	,	,	PUNCT
cana-3101	85	18	and	and	CCONJ
cana-3101	85	19	applied	apply	VERB
cana-3101	85	20	this	this	DET
cana-3101	85	21	methodology	methodology	NOUN
cana-3101	85	22	for	for	ADP
cana-3101	85	23	classification	classification	NOUN
cana-3101	85	24	.	.	PUNCT
cana-3101	86	1	israel	israel	PROPN
cana-3101	86	2	et	et	PROPN
cana-3101	86	3	al	al	PROPN
cana-3101	86	4	.	.	PUNCT
cana-3101	87	1	[	[	X
cana-3101	87	2	20	20	NUM
cana-3101	87	3	]	]	PUNCT
cana-3101	87	4	employed	employ	VERB
cana-3101	87	5	linear	linear	PROPN
cana-3101	87	6	discriminant	discriminant	ADJ
cana-3101	87	7	analysis	analysis	NOUN
cana-3101	87	8	(	(	PUNCT
cana-3101	87	9	lda	lda	PROPN
cana-3101	87	10	)	)	PUNCT
cana-3101	87	11	for	for	ADP
cana-3101	87	12	classification	classification	NOUN
cana-3101	87	13	purposes	purpose	NOUN
cana-3101	87	14	.	.	PUNCT
cana-3101	88	1	a	a	DET
cana-3101	88	2	comparable	comparable	ADJ
cana-3101	88	3	methodology	methodology	NOUN
cana-3101	88	4	was	be	AUX
cana-3101	88	5	employed	employ	VERB
cana-3101	88	6	by	by	ADP
cana-3101	88	7	wang	wang	PROPN
cana-3101	88	8	et	et	PROPN
cana-3101	88	9	al	al	PROPN
cana-3101	88	10	.	.	PUNCT
cana-3101	89	1	[	[	X
cana-3101	89	2	21	21	NUM
cana-3101	89	3	]	]	X
cana-3101	89	4	,	,	PUNCT
cana-3101	89	5	who	who	PRON
cana-3101	89	6	enhanced	enhance	VERB
cana-3101	89	7	their	their	PRON
cana-3101	89	8	research	research	NOUN
cana-3101	89	9	by	by	ADP
cana-3101	89	10	applying	apply	VERB
cana-3101	89	11	a	a	DET
cana-3101	89	12	discrete	discrete	ADJ
cana-3101	89	13	cosine	cosine	NOUN
cana-3101	89	14	transform	transform	NOUN
cana-3101	89	15	(	(	PUNCT
cana-3101	89	16	dct	dct	PROPN
cana-3101	89	17	)	)	PUNCT
cana-3101	89	18	to	to	ADP
cana-3101	89	19	the	the	DET
cana-3101	89	20	autocorrelation	autocorrelation	NOUN
cana-3101	89	21	function	function	NOUN
cana-3101	89	22	.	.	PUNCT
cana-3101	90	1	seachia	seachia	VERB
cana-3101	91	1	[	[	X
cana-3101	91	2	22	22	NUM
cana-3101	91	3	]	]	PUNCT
cana-3101	91	4	examined	examine	VERB
cana-3101	91	5	the	the	DET
cana-3101	91	6	efficacy	efficacy	NOUN
cana-3101	91	7	of	of	ADP
cana-3101	91	8	segmenting	segment	VERB
cana-3101	91	9	ecg	ecg	PROPN
cana-3101	91	10	heartbeats	heartbeat	NOUN
cana-3101	91	11	by	by	ADP
cana-3101	91	12	applying	apply	VERB
cana-3101	91	13	fourier	fourier	NOUN
cana-3101	91	14	coefficients	coefficient	NOUN
cana-3101	91	15	,	,	PUNCT
cana-3101	91	16	and	and	CCONJ
cana-3101	91	17	platanista	platanista	VERB
cana-3101	92	1	[	[	X
cana-3101	92	2	23	23	NUM
cana-3101	92	3	]	]	PUNCT
cana-3101	92	4	pioneered	pioneer	VERB
cana-3101	92	5	the	the	DET
cana-3101	92	6	proposal	proposal	NOUN
cana-3101	92	7	of	of	ADP
cana-3101	92	8	an	an	DET
cana-3101	92	9	ecg	ecg	PROPN
cana-3101	92	10	biometric	biometric	ADJ
cana-3101	92	11	recognition	recognition	NOUN
cana-3101	92	12	approach	approach	NOUN
cana-3101	92	13	that	that	PRON
cana-3101	92	14	does	do	AUX
cana-3101	92	15	not	not	PART
cana-3101	92	16	depend	depend	VERB
cana-3101	92	17	on	on	ADP
cana-3101	92	18	waveform	waveform	NOUN
cana-3101	92	19	detection	detection	NOUN
cana-3101	92	20	.	.	PUNCT
cana-3101	93	1	this	this	DET
cana-3101	93	2	method	method	NOUN
cana-3101	93	3	employs	employ	VERB
cana-3101	93	4	dct	dct	PROPN
cana-3101	93	5	to	to	PART
cana-3101	93	6	minimize	minimize	VERB
cana-3101	93	7	the	the	DET
cana-3101	93	8	dimensionality	dimensionality	NOUN
cana-3101	93	9	of	of	ADP
cana-3101	93	10	ecgs	ecgs	NOUN
cana-3101	93	11	by	by	ADP
cana-3101	93	12	analyzing	analyze	VERB
cana-3101	93	13	their	their	PRON
cana-3101	93	14	autocorrelation	autocorrelation	NOUN
cana-3101	93	15	.	.	PUNCT
cana-3101	94	1	agrafioti	agrafioti	PROPN
cana-3101	95	1	[	[	X
cana-3101	95	2	24	24	NUM
cana-3101	95	3	]	]	PUNCT
cana-3101	95	4	employed	employ	VERB
cana-3101	95	5	the	the	DET
cana-3101	95	6	dct	dct	PROPN
cana-3101	95	7	and	and	CCONJ
cana-3101	95	8	lda	lda	VERB
cana-3101	95	9	to	to	PART
cana-3101	95	10	develop	develop	VERB
cana-3101	95	11	an	an	DET
cana-3101	95	12	autocorrelation	autocorrelation	NOUN
cana-3101	95	13	template	template	NOUN
cana-3101	95	14	.	.	PUNCT
cana-3101	96	1	to	to	PART
cana-3101	96	2	enhance	enhance	VERB
cana-3101	96	3	calculation	calculation	NOUN
cana-3101	96	4	efficiency	efficiency	NOUN
cana-3101	96	5	and	and	CCONJ
cana-3101	96	6	minimize	minimize	VERB
cana-3101	96	7	memory	memory	NOUN
cana-3101	96	8	usage	usage	NOUN
cana-3101	96	9	,	,	PUNCT
cana-3101	96	10	fatemian	fatemian	PROPN
cana-3101	97	1	[	[	X
cana-3101	97	2	25	25	NUM
cana-3101	97	3	]	]	PUNCT
cana-3101	97	4	utilized	utilize	VERB
cana-3101	97	5	a	a	DET
cana-3101	97	6	reduced	reduced	ADJ
cana-3101	97	7	number	number	NOUN
cana-3101	97	8	of	of	ADP
cana-3101	97	9	templates	template	NOUN
cana-3101	97	10	per	per	ADP
cana-3101	97	11	subject	subject	NOUN
cana-3101	97	12	and	and	CCONJ
cana-3101	97	13	developed	develop	VERB
cana-3101	97	14	a	a	DET
cana-3101	97	15	tailored	tailor	VERB
cana-3101	97	16	pulse	pulse	NOUN
cana-3101	97	17	template	template	NOUN
cana-3101	97	18	using	use	VERB
cana-3101	97	19	discrete	discrete	ADJ
cana-3101	97	20	wavelet	wavelet	NOUN
cana-3101	97	21	transform	transform	NOUN
cana-3101	97	22	coefficients	coefficient	NOUN
cana-3101	97	23	.	.	PUNCT
cana-3101	98	1	wubbeler	wubbeler	PROPN
cana-3101	98	2	et	et	PROPN
cana-3101	98	3	al	al	PROPN
cana-3101	98	4	.	.	PUNCT
cana-3101	99	1	[	[	X
cana-3101	99	2	27	27	NUM
cana-3101	99	3	]	]	PUNCT
cana-3101	99	4	and	and	CCONJ
cana-3101	99	5	shen	shen	PROPN
cana-3101	99	6	et	et	PROPN
cana-3101	99	7	al	al	PROPN
cana-3101	99	8	.	.	PUNCT
cana-3101	100	1	[	[	X
cana-3101	100	2	26	26	NUM
cana-3101	100	3	]	]	PUNCT
cana-3101	100	4	employed	employ	VERB
cana-3101	100	5	templatematching	templatematching	NOUN
cana-3101	100	6	methods	method	NOUN
cana-3101	100	7	to	to	PART
cana-3101	100	8	classify	classify	VERB
cana-3101	100	9	properties	property	NOUN
cana-3101	100	10	related	relate	VERB
cana-3101	100	11	to	to	ADP
cana-3101	100	12	the	the	DET
cana-3101	100	13	qrs	qrs	PROPN
cana-3101	100	14	complex	complex	PROPN
cana-3101	100	15	.	.	PUNCT
cana-3101	101	1	various	various	ADJ
cana-3101	101	2	strategies	strategy	NOUN
cana-3101	101	3	have	have	AUX
cana-3101	101	4	been	be	AUX
cana-3101	101	5	introduced	introduce	VERB
cana-3101	101	6	for	for	ADP
cana-3101	101	7	ecg	ecg	PROPN
cana-3101	101	8	biometric	biometric	ADJ
cana-3101	101	9	systems	system	NOUN
cana-3101	101	10	that	that	PRON
cana-3101	101	11	employ	employ	VERB
cana-3101	101	12	different	different	ADJ
cana-3101	101	13	ecg	ecg	PROPN
cana-3101	101	14	datasets	dataset	NOUN
cana-3101	101	15	[	[	X
cana-3101	101	16	28	28	NUM
cana-3101	101	17	]	]	PUNCT
cana-3101	101	18	.	.	PUNCT
cana-3101	102	1	the	the	DET
cana-3101	102	2	authors	author	NOUN
cana-3101	102	3	of	of	ADP
cana-3101	102	4	[	[	X
cana-3101	102	5	28	28	NUM
cana-3101	102	6	]	]	PUNCT
cana-3101	102	7	conducted	conduct	VERB
cana-3101	102	8	a	a	DET
cana-3101	102	9	comparison	comparison	NOUN
cana-3101	102	10	of	of	ADP
cana-3101	102	11	the	the	DET
cana-3101	102	12	averages	average	NOUN
cana-3101	102	13	related	relate	VERB
cana-3101	102	14	to	to	ADP
cana-3101	102	15	categorization	categorization	NOUN
cana-3101	102	16	identification	identification	NOUN
cana-3101	102	17	,	,	PUNCT
cana-3101	102	18	equal	equal	ADJ
cana-3101	102	19	error	error	NOUN
cana-3101	102	20	rates	rate	NOUN
cana-3101	102	21	(	(	PUNCT
cana-3101	102	22	eer	eer	NOUN
cana-3101	102	23	)	)	PUNCT
cana-3101	102	24	,	,	PUNCT
cana-3101	102	25	and	and	CCONJ
cana-3101	102	26	authentication	authentication	NOUN
cana-3101	102	27	scenarios	scenario	NOUN
cana-3101	102	28	by	by	ADP
cana-3101	102	29	analyzing	analyze	VERB
cana-3101	102	30	pathological	pathological	ADJ
cana-3101	102	31	signals	signal	NOUN
cana-3101	102	32	from	from	ADP
cana-3101	102	33	ecg	ecg	PROPN
cana-3101	102	34	databases	database	NOUN
cana-3101	102	35	across	across	ADP
cana-3101	102	36	multiple	multiple	ADJ
cana-3101	102	37	investigations	investigation	NOUN
cana-3101	102	38	.	.	PUNCT
cana-3101	103	1	in	in	ADP
cana-3101	103	2	the	the	DET
cana-3101	103	3	identification	identification	NOUN
cana-3101	103	4	scenario	scenario	NOUN
cana-3101	103	5	,	,	PUNCT
cana-3101	103	6	the	the	DET
cana-3101	103	7	weighted	weighted	ADJ
cana-3101	103	8	average	average	ADJ
cana-3101	103	9	rate	rate	NOUN
cana-3101	103	10	was	be	AUX
cana-3101	103	11	94.95	94.95	NUM
cana-3101	103	12	percent	percent	NOUN
cana-3101	103	13	,	,	PUNCT
cana-3101	103	14	whereas	whereas	SCONJ
cana-3101	103	15	in	in	ADP
cana-3101	103	16	an	an	DET
cana-3101	103	17	authentication	authentication	NOUN
cana-3101	103	18	situation	situation	NOUN
cana-3101	103	19	,	,	PUNCT
cana-3101	103	20	the	the	DET
cana-3101	103	21	overall	overall	ADJ
cana-3101	103	22	eer	eer	NOUN
cana-3101	103	23	was	be	AUX
cana-3101	103	24	0.92	0.92	NUM
cana-3101	103	25	percent	percent	NOUN
cana-3101	103	26	,	,	PUNCT
cana-3101	103	27	based	base	VERB
cana-3101	103	28	on	on	ADP
cana-3101	103	29	their	their	PRON
cana-3101	103	30	findings	finding	NOUN
cana-3101	103	31	.	.	PUNCT
cana-3101	104	1	the	the	DET
cana-3101	104	2	findings	finding	NOUN
cana-3101	104	3	in	in	ADP
cana-3101	104	4	[	[	X
cana-3101	104	5	28	28	NUM
cana-3101	104	6	]	]	PUNCT
cana-3101	104	7	demonstrated	demonstrate	VERB
cana-3101	104	8	that	that	SCONJ
cana-3101	104	9	the	the	DET
cana-3101	104	10	number	number	NOUN
cana-3101	104	11	of	of	ADP
cana-3101	104	12	ecg	ecg	PROPN
cana-3101	104	13	leads	lead	VERB
cana-3101	104	14	utilized	utilize	VERB
cana-3101	104	15	influences	influence	NOUN
cana-3101	104	16	the	the	DET
cana-3101	104	17	recognition	recognition	NOUN
cana-3101	104	18	performance	performance	NOUN
cana-3101	104	19	,	,	PUNCT
cana-3101	104	20	as	as	SCONJ
cana-3101	104	21	does	do	VERB
cana-3101	104	22	the	the	DET
cana-3101	104	23	selection	selection	NOUN
cana-3101	104	24	of	of	ADP
cana-3101	104	25	characteristics	characteristic	NOUN
cana-3101	104	26	.	.	PUNCT
cana-3101	105	1	deep	deep	ADJ
cana-3101	105	2	learning	learning	NOUN
cana-3101	105	3	algorithms	algorithm	NOUN
cana-3101	105	4	have	have	AUX
cana-3101	105	5	been	be	AUX
cana-3101	105	6	applied	apply	VERB
cana-3101	105	7	to	to	ADP
cana-3101	105	8	ecg	ecg	PROPN
cana-3101	105	9	biometrics	biometric	NOUN
cana-3101	105	10	in	in	ADP
cana-3101	105	11	several	several	ADJ
cana-3101	105	12	recent	recent	ADJ
cana-3101	105	13	studies	study	NOUN
cana-3101	105	14	[	[	X
cana-3101	105	15	]	]	X
cana-3101	105	16	.	.	PUNCT
cana-3101	106	1	a	a	DET
cana-3101	106	2	cnn	cnn	PROPN
cana-3101	106	3	was	be	AUX
cana-3101	106	4	employed	employ	VERB
cana-3101	106	5	in	in	ADP
cana-3101	106	6	this	this	DET
cana-3101	106	7	study	study	NOUN
cana-3101	106	8	to	to	PART
cana-3101	106	9	classify	classify	VERB
cana-3101	106	10	ecg	ecg	PROPN
cana-3101	106	11	heartbeats	heartbeat	NOUN
cana-3101	106	12	in	in	ADP
cana-3101	106	13	the	the	DET
cana-3101	106	14	patients	patient	NOUN
cana-3101	106	15	[	[	X
cana-3101	106	16	29	29	NUM
cana-3101	106	17	]	]	PUNCT
cana-3101	106	18	.	.	PUNCT
cana-3101	107	1	a	a	DET
cana-3101	107	2	residual	residual	ADJ
cana-3101	107	3	cnn	cnn	NOUN
cana-3101	107	4	with	with	ADP
cana-3101	107	5	an	an	DET
cana-3101	107	6	attention	attention	NOUN
cana-3101	107	7	mechanism	mechanism	NOUN
cana-3101	107	8	was	be	AUX
cana-3101	107	9	developed	develop	VERB
cana-3101	107	10	for	for	ADP
cana-3101	107	11	human	human	ADJ
cana-3101	107	12	authentication	authentication	NOUN
cana-3101	107	13	using	use	VERB
cana-3101	107	14	an	an	DET
cana-3101	107	15	ecg	ecg	PROPN
cana-3101	107	16	in	in	ADP
cana-3101	107	17	[	[	X
cana-3101	107	18	30	30	NUM
cana-3101	107	19	]	]	PUNCT
cana-3101	107	20	.	.	PUNCT
cana-3101	108	1	when	when	SCONJ
cana-3101	108	2	analyzing	analyze	VERB
cana-3101	108	3	one	one	NUM
cana-3101	108	4	-	-	PUNCT
cana-3101	108	5	dimensional	dimensional	ADJ
cana-3101	108	6	signals	signal	NOUN
cana-3101	108	7	such	such	ADJ
cana-3101	108	8	as	as	ADP
cana-3101	108	9	ecg	ecg	PROPN
cana-3101	108	10	with	with	ADP
cana-3101	108	11	sequential	sequential	ADJ
cana-3101	108	12	data	datum	NOUN
cana-3101	108	13	,	,	PUNCT
cana-3101	108	14	a	a	DET
cana-3101	108	15	recurrent	recurrent	ADJ
cana-3101	108	16	neural	neural	ADJ
cana-3101	108	17	network	network	NOUN
cana-3101	108	18	(	(	PUNCT
cana-3101	108	19	rnn	rnn	PROPN
cana-3101	108	20	)	)	PUNCT
cana-3101	108	21	provides	provide	VERB
cana-3101	108	22	advantages	advantage	NOUN
cana-3101	108	23	over	over	ADP
cana-3101	108	24	convolutional	convolutional	ADJ
cana-3101	108	25	neural	neural	ADJ
cana-3101	108	26	networks	network	NOUN
cana-3101	108	27	(	(	PUNCT
cana-3101	108	28	cnns	cnns	PROPN
cana-3101	108	29	)	)	PUNCT
cana-3101	108	30	.	.	PUNCT
cana-3101	109	1	3	3	X
cana-3101	109	2	.	.	X
cana-3101	109	3	methodology	methodology	NOUN
cana-3101	109	4	•	•	NOUN
cana-3101	109	5	dataset	dataset	VERB
cana-3101	109	6	the	the	DET
cana-3101	109	7	primary	primary	ADJ
cana-3101	109	8	consideration	consideration	NOUN
cana-3101	109	9	prior	prior	ADV
cana-3101	109	10	to	to	ADP
cana-3101	109	11	training	train	VERB
cana-3101	109	12	any	any	DET
cana-3101	109	13	classification	classification	NOUN
cana-3101	109	14	-	-	PUNCT
cana-3101	109	15	based	base	VERB
cana-3101	109	16	model	model	NOUN
cana-3101	109	17	is	be	AUX
cana-3101	109	18	the	the	DET
cana-3101	109	19	data	datum	NOUN
cana-3101	109	20	,	,	PUNCT
cana-3101	109	21	which	which	PRON
cana-3101	109	22	serves	serve	VERB
cana-3101	109	23	as	as	ADP
cana-3101	109	24	an	an	DET
cana-3101	109	25	essential	essential	ADJ
cana-3101	109	26	requirement	requirement	NOUN
cana-3101	109	27	for	for	ADP
cana-3101	109	28	initiating	initiate	VERB
cana-3101	109	29	the	the	DET
cana-3101	109	30	training	training	NOUN
cana-3101	109	31	of	of	ADP
cana-3101	109	32	any	any	DET
cana-3101	109	33	machine	machine	NOUN
cana-3101	109	34	-	-	PUNCT
cana-3101	109	35	learning	learn	VERB
cana-3101	109	36	model	model	NOUN
cana-3101	109	37	.	.	PUNCT
cana-3101	110	1	the	the	DET
cana-3101	110	2	data	datum	NOUN
cana-3101	110	3	that	that	PRON
cana-3101	110	4	are	be	AUX
cana-3101	110	5	labelled	label	VERB
cana-3101	110	6	and	and	CCONJ
cana-3101	110	7	utilized	utilize	VERB
cana-3101	110	8	for	for	ADP
cana-3101	110	9	training	train	VERB
cana-3101	110	10	an	an	DET
cana-3101	110	11	artificial	artificial	ADJ
cana-3101	110	12	intelligence	intelligence	NOUN
cana-3101	110	13	model	model	NOUN
cana-3101	110	14	are	be	AUX
cana-3101	110	15	referred	refer	VERB
cana-3101	110	16	to	to	ADP
cana-3101	110	17	as	as	ADP
cana-3101	110	18	the	the	DET
cana-3101	110	19	training	training	NOUN
cana-3101	110	20	data	datum	NOUN
cana-3101	110	21	.	.	PUNCT
cana-3101	111	1	conversely	conversely	ADV
cana-3101	111	2	,	,	PUNCT
cana-3101	111	3	data	datum	NOUN
cana-3101	111	4	that	that	PRON
cana-3101	111	5	are	be	AUX
cana-3101	111	6	new	new	ADJ
cana-3101	111	7	to	to	ADP
cana-3101	111	8	the	the	DET
cana-3101	111	9	model	model	NOUN
cana-3101	111	10	and	and	CCONJ
cana-3101	111	11	assist	assist	VERB
cana-3101	111	12	in	in	ADP
cana-3101	111	13	evaluating	evaluate	VERB
cana-3101	111	14	its	its	PRON
cana-3101	111	15	accuracy	accuracy	NOUN
cana-3101	111	16	are	be	AUX
cana-3101	111	17	known	know	VERB
cana-3101	111	18	as	as	ADP
cana-3101	111	19	testing	test	VERB
cana-3101	111	20	data	datum	NOUN
cana-3101	111	21	.	.	PUNCT
cana-3101	112	1	in	in	ADP
cana-3101	112	2	the	the	DET
cana-3101	112	3	process	process	NOUN
cana-3101	112	4	of	of	ADP
cana-3101	112	5	training	training	NOUN
cana-3101	112	6	a	a	DET
cana-3101	112	7	cnn	cnn	PROPN
cana-3101	112	8	-	-	PUNCT
cana-3101	112	9	based	base	VERB
cana-3101	112	10	model	model	NOUN
cana-3101	112	11	for	for	ADP
cana-3101	112	12	patient	patient	ADJ
cana-3101	112	13	authentication	authentication	NOUN
cana-3101	112	14	using	use	VERB
cana-3101	112	15	ecg	ecg	PROPN
cana-3101	112	16	records	record	NOUN
cana-3101	112	17	,	,	PUNCT
cana-3101	112	18	an	an	DET
cana-3101	112	19	open	open	ADJ
cana-3101	112	20	-	-	PUNCT
cana-3101	112	21	source	source	NOUN
cana-3101	112	22	dataset	dataset	NOUN
cana-3101	112	23	comprising	comprise	VERB
cana-3101	112	24	290	290	NUM
cana-3101	112	25	distinct	distinct	ADJ
cana-3101	112	26	patients	patient	NOUN
cana-3101	112	27	and	and	CCONJ
cana-3101	112	28	approximately	approximately	ADV
cana-3101	112	29	549	549	NUM
cana-3101	112	30	ecg	ecg	PROPN
cana-3101	112	31	records	record	NOUN
cana-3101	112	32	was	be	AUX
cana-3101	112	33	employed	employ	VERB
cana-3101	112	34	to	to	PART
cana-3101	112	35	train	train	VERB
cana-3101	112	36	a	a	DET
cana-3101	112	37	cnn	cnn	PROPN
cana-3101	112	38	-	-	PUNCT
cana-3101	112	39	based	base	VERB
cana-3101	112	40	model	model	NOUN
cana-3101	112	41	for	for	ADP
cana-3101	112	42	patient	patient	ADJ
cana-3101	112	43	authentication	authentication	NOUN
cana-3101	112	44	using	use	VERB
cana-3101	112	45	ecg	ecg	PROPN
cana-3101	112	46	records	record	NOUN
cana-3101	112	47	.	.	PUNCT
cana-3101	113	1	the	the	DET
cana-3101	113	2	data	datum	NOUN
cana-3101	113	3	included	include	VERB
cana-3101	113	4	the	the	DET
cana-3101	113	5	records	record	NOUN
cana-3101	113	6	of	of	ADP
cana-3101	113	7	209	209	NUM
cana-3101	113	8	male	male	ADJ
cana-3101	113	9	and	and	CCONJ
cana-3101	113	10	81	81	NUM
cana-3101	113	11	female	female	ADJ
cana-3101	113	12	patients	patient	NOUN
cana-3101	113	13	,	,	PUNCT
cana-3101	113	14	with	with	ADP
cana-3101	113	15	ages	age	NOUN
cana-3101	113	16	ranging	range	VERB
cana-3101	113	17	from	from	ADP
cana-3101	113	18	17	17	NUM
cana-3101	113	19	to	to	PART
cana-3101	113	20	87	87	NUM
cana-3101	113	21	years	year	NOUN
cana-3101	113	22	.	.	PUNCT
cana-3101	114	1	this	this	DET
cana-3101	114	2	analysis	analysis	NOUN
cana-3101	114	3	indicated	indicate	VERB
cana-3101	114	4	that	that	SCONJ
cana-3101	114	5	a	a	DET
cana-3101	114	6	comprehensive	comprehensive	ADJ
cana-3101	114	7	clinical	clinical	ADJ
cana-3101	114	8	report	report	NOUN
cana-3101	114	9	of	of	ADP
cana-3101	114	10	22	22	NUM
cana-3101	114	11	patients	patient	NOUN
cana-3101	114	12	is	be	AUX
cana-3101	114	13	not	not	PART
cana-3101	114	14	currently	currently	ADV
cana-3101	114	15	available	available	ADJ
cana-3101	114	16	.	.	PUNCT
cana-3101	115	1	therefore	therefore	ADV
cana-3101	115	2	,	,	PUNCT
cana-3101	115	3	we	we	PRON
cana-3101	115	4	continued	continue	VERB
cana-3101	115	5	the	the	DET
cana-3101	115	6	analysis	analysis	NOUN
cana-3101	115	7	by	by	ADP
cana-3101	115	8	using	use	VERB
cana-3101	115	9	data	datum	NOUN
cana-3101	115	10	from	from	ADP
cana-3101	115	11	268	268	NUM
cana-3101	115	12	patients	patient	NOUN
cana-3101	115	13	in	in	ADP
cana-3101	115	14	the	the	DET
cana-3101	115	15	proposed	propose	VERB
cana-3101	115	16	model	model	NOUN
cana-3101	115	17	.	.	PUNCT
cana-3101	116	1	figure	figure	VERB
cana-3101	116	2	1	1	NUM
cana-3101	116	3	presents	present	VERB
cana-3101	116	4	a	a	DET
cana-3101	116	5	comprehensive	comprehensive	ADJ
cana-3101	116	6	overview	overview	NOUN
cana-3101	116	7	of	of	ADP
cana-3101	116	8	the	the	DET
cana-3101	116	9	268	268	NUM
cana-3101	116	10	patients	patient	NOUN
cana-3101	116	11	.	.	PUNCT
cana-3101	117	1	communications	communication	NOUN
cana-3101	117	2	on	on	ADP
cana-3101	117	3	applied	apply	VERB
cana-3101	117	4	nonlinear	nonlinear	ADJ
cana-3101	117	5	analysis	analysis	NOUN
cana-3101	117	6	issn	issn	NOUN
cana-3101	117	7	:	:	PUNCT
cana-3101	117	8	1074	1074	NUM
cana-3101	117	9	-	-	PUNCT
cana-3101	117	10	133x	133x	NUM
cana-3101	117	11	vol	vol	NOUN
cana-3101	117	12	32	32	NUM
cana-3101	117	13	no	no	NOUN
cana-3101	117	14	.	.	PUNCT
cana-3101	118	1	5s	5s	NUM
cana-3101	118	2	(	(	PUNCT
cana-3101	118	3	2025	2025	NUM
cana-3101	118	4	)	)	PUNCT
cana-3101	118	5	307	307	NUM
cana-3101	118	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3101	118	7	fig	fig	NOUN
cana-3101	118	8	.	.	PUNCT
cana-3101	119	1	1	1	NUM
cana-3101	119	2	proposed	propose	VERB
cana-3101	119	3	ecg	ecg	PROPN
cana-3101	119	4	authentication	authentication	NOUN
cana-3101	119	5	predictive	predictive	PROPN
cana-3101	119	6	model	model	NOUN
cana-3101	119	7	table	table	NOUN
cana-3101	119	8	1	1	NUM
cana-3101	119	9	detailed	detailed	ADJ
cana-3101	119	10	patient	patient	ADJ
cana-3101	119	11	description	description	NOUN
cana-3101	119	12	regarding	regard	VERB
cana-3101	119	13	diagnostic	diagnostic	ADJ
cana-3101	119	14	class	class	NOUN
cana-3101	119	15	diagnostic	diagnostic	ADJ
cana-3101	119	16	class	class	NOUN
cana-3101	119	17	number	number	NOUN
cana-3101	119	18	of	of	ADP
cana-3101	119	19	subjects	subject	NOUN
cana-3101	119	20	myocardial	myocardial	ADJ
cana-3101	119	21	infarction	infarction	NOUN
cana-3101	119	22	148	148	NUM
cana-3101	119	23	cardiomyopathy	cardiomyopathy	ADJ
cana-3101	119	24	/	/	SYM
cana-3101	119	25	heart	heart	NOUN
cana-3101	119	26	failure	failure	NOUN
cana-3101	119	27	18	18	NUM
cana-3101	119	28	bundle	bundle	NOUN
cana-3101	119	29	branch	branch	NOUN
cana-3101	119	30	block	block	VERB
cana-3101	119	31	15	15	NUM
cana-3101	119	32	dysrhythmia	dysrhythmia	NOUN
cana-3101	119	33	14	14	NUM
cana-3101	119	34	myocardial	myocardial	ADJ
cana-3101	119	35	hypertrophy	hypertrophy	NOUN
cana-3101	119	36	7	7	NUM
cana-3101	119	37	valvular	valvular	ADJ
cana-3101	119	38	heart	heart	NOUN
cana-3101	119	39	disease	disease	NOUN
cana-3101	119	40	6	6	NUM
cana-3101	119	41	myocarditis	myocarditis	NOUN
cana-3101	119	42	4	4	NUM
cana-3101	119	43	miscellaneous	miscellaneous	ADJ
cana-3101	119	44	4	4	NUM
cana-3101	119	45	healthy	healthy	ADJ
cana-3101	119	46	controls	control	NOUN
cana-3101	119	47	52	52	NUM
cana-3101	119	48	•	•	NOUN
cana-3101	119	49	implementation	implementation	NOUN
cana-3101	119	50	the	the	DET
cana-3101	119	51	implementation	implementation	NOUN
cana-3101	119	52	of	of	ADP
cana-3101	119	53	a	a	DET
cana-3101	119	54	patient	patient	ADJ
cana-3101	119	55	authentication	authentication	NOUN
cana-3101	119	56	mechanism	mechanism	NOUN
cana-3101	119	57	utilizing	utilize	VERB
cana-3101	119	58	deep	deep	ADJ
cana-3101	119	59	learning	learning	NOUN
cana-3101	119	60	through	through	ADP
cana-3101	119	61	cnns	cnns	PROPN
cana-3101	119	62	is	be	AUX
cana-3101	119	63	examined	examine	VERB
cana-3101	119	64	in	in	ADP
cana-3101	119	65	detail	detail	NOUN
cana-3101	119	66	.	.	PUNCT
cana-3101	120	1	baseline	baseline	PROPN
cana-3101	120	2	model	model	PROPN
cana-3101	120	3	a	a	DET
cana-3101	120	4	cnn	cnn	PROPN
cana-3101	120	5	-	-	PUNCT
cana-3101	120	6	based	base	VERB
cana-3101	120	7	model	model	NOUN
cana-3101	120	8	was	be	AUX
cana-3101	120	9	established	establish	VERB
cana-3101	120	10	using	use	VERB
cana-3101	120	11	the	the	DET
cana-3101	120	12	ecg	ecg	PROPN
cana-3101	120	13	dataset	dataset	VERB
cana-3101	120	14	as	as	ADP
cana-3101	120	15	the	the	DET
cana-3101	120	16	foundation	foundation	NOUN
cana-3101	120	17	.	.	PUNCT
cana-3101	121	1	the	the	DET
cana-3101	121	2	proposed	propose	VERB
cana-3101	121	3	model	model	NOUN
cana-3101	121	4	has	have	AUX
cana-3101	121	5	undergone	undergo	VERB
cana-3101	121	6	pre	pre	ADJ
cana-3101	121	7	-	-	NOUN
cana-3101	121	8	training	training	NOUN
cana-3101	121	9	for	for	ADP
cana-3101	121	10	categorization	categorization	NOUN
cana-3101	121	11	across	across	ADP
cana-3101	121	12	many	many	ADJ
cana-3101	121	13	subjects	subject	NOUN
cana-3101	121	14	,	,	PUNCT
cana-3101	121	15	and	and	CCONJ
cana-3101	121	16	has	have	VERB
cana-3101	121	17	a	a	DET
cana-3101	121	18	high	high	ADJ
cana-3101	121	19	degree	degree	NOUN
cana-3101	121	20	of	of	ADP
cana-3101	121	21	accuracy	accuracy	NOUN
cana-3101	121	22	.	.	PUNCT
cana-3101	122	1	we	we	PRON
cana-3101	122	2	used	use	VERB
cana-3101	122	3	this	this	PRON
cana-3101	122	4	for	for	ADP
cana-3101	122	5	the	the	DET
cana-3101	122	6	authentication	authentication	NOUN
cana-3101	122	7	procedure	procedure	NOUN
cana-3101	122	8	,	,	PUNCT
cana-3101	122	9	,	,	PUNCT
cana-3101	122	10	following	follow	VERB
cana-3101	122	11	structural	structural	ADJ
cana-3101	122	12	modifications	modification	NOUN
cana-3101	122	13	.	.	PUNCT
cana-3101	123	1	initially	initially	ADV
cana-3101	123	2	,	,	PUNCT
cana-3101	123	3	we	we	PRON
cana-3101	123	4	assumed	assume	VERB
cana-3101	123	5	that	that	SCONJ
cana-3101	123	6	specific	specific	ADJ
cana-3101	123	7	patients	patient	NOUN
cana-3101	123	8	had	have	AUX
cana-3101	123	9	been	be	AUX
cana-3101	123	10	validated	validate	VERB
cana-3101	123	11	,	,	PUNCT
cana-3101	123	12	and	and	CCONJ
cana-3101	123	13	subsequently	subsequently	ADV
cana-3101	123	14	inputted	inputte	VERB
cana-3101	123	15	their	their	PRON
cana-3101	123	16	ecg	ecg	PROPN
cana-3101	123	17	signals	signal	NOUN
cana-3101	123	18	into	into	ADP
cana-3101	123	19	the	the	DET
cana-3101	123	20	model	model	NOUN
cana-3101	123	21	.	.	PUNCT
cana-3101	124	1	the	the	DET
cana-3101	124	2	proposed	propose	VERB
cana-3101	124	3	model	model	NOUN
cana-3101	124	4	generates	generate	VERB
cana-3101	124	5	an	an	DET
cana-3101	124	6	output	output	NOUN
cana-3101	124	7	for	for	ADP
cana-3101	124	8	patient	patient	ADJ
cana-3101	124	9	authentication	authentication	NOUN
cana-3101	124	10	that	that	PRON
cana-3101	124	11	is	be	AUX
cana-3101	124	12	then	then	ADV
cana-3101	124	13	stored	store	VERB
cana-3101	124	14	in	in	ADP
cana-3101	124	15	a	a	DET
cana-3101	124	16	database	database	NOUN
cana-3101	124	17	.	.	PUNCT
cana-3101	125	1	upon	upon	SCONJ
cana-3101	125	2	registration	registration	NOUN
cana-3101	125	3	of	of	ADP
cana-3101	125	4	a	a	DET
cana-3101	125	5	new	new	ADJ
cana-3101	125	6	patient	patient	NOUN
cana-3101	125	7	,	,	PUNCT
cana-3101	125	8	the	the	DET
cana-3101	125	9	model	model	NOUN
cana-3101	125	10	generates	generate	VERB
cana-3101	125	11	the	the	DET
cana-3101	125	12	patient	patient	NOUN
cana-3101	125	13	's	's	PART
cana-3101	125	14	output	output	NOUN
cana-3101	125	15	,	,	PUNCT
cana-3101	125	16	which	which	PRON
cana-3101	125	17	is	be	AUX
cana-3101	125	18	subsequently	subsequently	ADV
cana-3101	125	19	used	use	VERB
cana-3101	125	20	to	to	PART
cana-3101	125	21	compute	compute	VERB
cana-3101	125	22	the	the	DET
cana-3101	125	23	euclidean	euclidean	ADJ
cana-3101	125	24	distance	distance	NOUN
cana-3101	125	25	between	between	ADP
cana-3101	125	26	the	the	DET
cana-3101	125	27	current	current	ADJ
cana-3101	125	28	patient	patient	NOUN
cana-3101	125	29	's	's	PART
cana-3101	125	30	output	output	NOUN
cana-3101	125	31	and	and	CCONJ
cana-3101	125	32	the	the	DET
cana-3101	125	33	previous	previous	ADJ
cana-3101	125	34	outputs	output	NOUN
cana-3101	125	35	recorded	record	VERB
cana-3101	125	36	in	in	ADP
cana-3101	125	37	the	the	DET
cana-3101	125	38	database	database	NOUN
cana-3101	125	39	as	as	ADP
cana-3101	125	40	a	a	DET
cana-3101	125	41	similarity	similarity	NOUN
cana-3101	125	42	score	score	NOUN
cana-3101	125	43	.	.	PUNCT
cana-3101	126	1	ultimately	ultimately	ADV
cana-3101	126	2	,	,	PUNCT
cana-3101	126	3	we	we	PRON
cana-3101	126	4	evaluated	evaluate	VERB
cana-3101	126	5	the	the	DET
cana-3101	126	6	similarity	similarity	NOUN
cana-3101	126	7	score	score	NOUN
cana-3101	126	8	against	against	ADP
cana-3101	126	9	a	a	DET
cana-3101	126	10	threshold	threshold	NOUN
cana-3101	126	11	value	value	NOUN
cana-3101	126	12	of	of	ADP
cana-3101	126	13	0.94	0.94	NUM
cana-3101	126	14	to	to	PART
cana-3101	126	15	determine	determine	VERB
cana-3101	126	16	if	if	SCONJ
cana-3101	126	17	the	the	DET
cana-3101	126	18	new	new	ADJ
cana-3101	126	19	patient	patient	NOUN
cana-3101	126	20	was	be	AUX
cana-3101	126	21	successfully	successfully	ADV
cana-3101	126	22	authenticated	authenticate	VERB
cana-3101	126	23	.	.	PUNCT
cana-3101	127	1	the	the	DET
cana-3101	127	2	stages	stage	NOUN
cana-3101	127	3	involved	involve	VERB
cana-3101	127	4	in	in	ADP
cana-3101	127	5	the	the	DET
cana-3101	127	6	development	development	NOUN
cana-3101	127	7	of	of	ADP
cana-3101	127	8	the	the	DET
cana-3101	127	9	basic	basic	ADJ
cana-3101	127	10	system	system	NOUN
cana-3101	127	11	are	be	AUX
cana-3101	127	12	outlined	outline	VERB
cana-3101	127	13	below	below	ADV
cana-3101	127	14	:	:	PUNCT
cana-3101	127	15	begin	begin	VERB
cana-3101	127	16	//	//	NUM
cana-3101	127	17	step	step	NOUN
cana-3101	127	18	1	1	NUM
cana-3101	127	19	:	:	PUNCT
cana-3101	127	20	start	start	VERB
cana-3101	127	21	the	the	DET
cana-3101	127	22	process	process	NOUN
cana-3101	127	23	start	start	VERB
cana-3101	127	24	//	//	NUM
cana-3101	127	25	step	step	NOUN
cana-3101	127	26	2	2	NUM
cana-3101	127	27	:	:	PUNCT
cana-3101	127	28	collect	collect	VERB
cana-3101	127	29	data	data	NOUN
cana-3101	127	30	communications	communication	NOUN
cana-3101	127	31	on	on	ADP
cana-3101	127	32	applied	apply	VERB
cana-3101	127	33	nonlinear	nonlinear	ADJ
cana-3101	127	34	analysis	analysis	NOUN
cana-3101	127	35	issn	issn	NOUN
cana-3101	127	36	:	:	PUNCT
cana-3101	127	37	1074	1074	NUM
cana-3101	127	38	-	-	PUNCT
cana-3101	127	39	133x	133x	NUM
cana-3101	127	40	vol	vol	NOUN
cana-3101	127	41	32	32	NUM
cana-3101	127	42	no	no	NOUN
cana-3101	127	43	.	.	PUNCT
cana-3101	128	1	5s	5s	NUM
cana-3101	128	2	(	(	PUNCT
cana-3101	128	3	2025	2025	NUM
cana-3101	128	4	)	)	PUNCT
cana-3101	128	5	308	308	NUM
cana-3101	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	128	7	data	data	PROPN
cana-3101	128	8	collection	collection	NOUN
cana-3101	128	9	//	//	NOUN
cana-3101	128	10	step	step	NOUN
cana-3101	128	11	3	3	NUM
cana-3101	128	12	:	:	PUNCT
cana-3101	128	13	gain	gain	VERB
cana-3101	128	14	insights	insight	NOUN
cana-3101	128	15	from	from	ADP
cana-3101	128	16	the	the	DET
cana-3101	128	17	collected	collect	VERB
cana-3101	128	18	data	data	NOUN
cana-3101	128	19	getting	get	VERB
cana-3101	128	20	data	datum	NOUN
cana-3101	128	21	insights	insight	NOUN
cana-3101	128	22	//	//	NUM
cana-3101	128	23	step	step	NOUN
cana-3101	128	24	4	4	NUM
cana-3101	128	25	:	:	PUNCT
cana-3101	128	26	pre	pre	ADJ
cana-3101	128	27	-	-	NOUN
cana-3101	128	28	process	process	VERB
cana-3101	128	29	the	the	DET
cana-3101	128	30	data	datum	NOUN
cana-3101	128	31	pre	pre	ADJ
cana-3101	128	32	-	-	NOUN
cana-3101	128	33	process	process	ADJ
cana-3101	128	34	data	datum	NOUN
cana-3101	128	35	//	//	NUM
cana-3101	128	36	step	step	NOUN
cana-3101	128	37	5	5	NUM
cana-3101	128	38	:	:	PUNCT
cana-3101	128	39	extract	extract	VERB
cana-3101	128	40	and	and	CCONJ
cana-3101	128	41	select	select	VERB
cana-3101	128	42	important	important	ADJ
cana-3101	128	43	features	feature	NOUN
cana-3101	128	44	feature	feature	NOUN
cana-3101	128	45	extraction	extraction	NOUN
cana-3101	128	46	and	and	CCONJ
cana-3101	128	47	selection	selection	NOUN
cana-3101	128	48	//	//	NUM
cana-3101	128	49	step	step	NOUN
cana-3101	128	50	6	6	NUM
cana-3101	128	51	:	:	PUNCT
cana-3101	128	52	split	split	VERB
cana-3101	128	53	data	datum	NOUN
cana-3101	128	54	into	into	ADP
cana-3101	128	55	training	training	NOUN
cana-3101	128	56	and	and	CCONJ
cana-3101	128	57	testing	testing	NOUN
cana-3101	128	58	sets	set	NOUN
cana-3101	128	59	split	split	VERB
cana-3101	128	60	data	datum	NOUN
cana-3101	128	61	into	into	ADP
cana-3101	128	62	train	train	NOUN
cana-3101	128	63	and	and	CCONJ
cana-3101	128	64	test	test	NOUN
cana-3101	128	65	sets	set	VERB
cana-3101	128	66	//	//	NUM
cana-3101	128	67	step	step	NOUN
cana-3101	128	68	7	7	NUM
cana-3101	128	69	:	:	PUNCT
cana-3101	128	70	generate	generate	VERB
cana-3101	128	71	and	and	CCONJ
cana-3101	128	72	train	train	VERB
cana-3101	128	73	the	the	DET
cana-3101	128	74	model	model	NOUN
cana-3101	129	1	generate	generate	NOUN
cana-3101	129	2	model	model	NOUN
cana-3101	129	3	//	//	NUM
cana-3101	129	4	step	step	NOUN
cana-3101	129	5	8	8	NUM
cana-3101	129	6	:	:	PUNCT
cana-3101	129	7	test	test	VERB
cana-3101	129	8	the	the	DET
cana-3101	129	9	model	model	NOUN
cana-3101	129	10	test	test	NOUN
cana-3101	129	11	model	model	NOUN
cana-3101	129	12	if	if	SCONJ
cana-3101	129	13	model	model	NOUN
cana-3101	129	14	output	output	NOUN
cana-3101	129	15	is	be	AUX
cana-3101	129	16	correct	correct	ADJ
cana-3101	129	17	then	then	ADV
cana-3101	129	18	//	//	NUM
cana-3101	129	19	step	step	NOUN
cana-3101	129	20	9	9	NUM
cana-3101	129	21	:	:	PUNCT
cana-3101	129	22	finalize	finalize	VERB
cana-3101	129	23	the	the	DET
cana-3101	129	24	model	model	NOUN
cana-3101	129	25	if	if	SCONJ
cana-3101	129	26	output	output	NOUN
cana-3101	129	27	is	be	AUX
cana-3101	129	28	satisfactory	satisfactory	ADJ
cana-3101	129	29	final	final	ADJ
cana-3101	129	30	model	model	NOUN
cana-3101	129	31	else	else	ADV
cana-3101	129	32	//	//	NUM
cana-3101	129	33	step	step	NOUN
cana-3101	129	34	10	10	NUM
cana-3101	129	35	:	:	PUNCT
cana-3101	129	36	if	if	SCONJ
cana-3101	129	37	output	output	NOUN
cana-3101	129	38	is	be	AUX
cana-3101	129	39	incorrect	incorrect	ADJ
cana-3101	129	40	,	,	PUNCT
cana-3101	129	41	go	go	VERB
cana-3101	129	42	back	back	ADV
cana-3101	129	43	to	to	ADP
cana-3101	129	44	data	datum	NOUN
cana-3101	129	45	pre	pre	ADJ
cana-3101	129	46	-	-	ADJ
cana-3101	129	47	processing	processing	ADJ
cana-3101	129	48	go	go	NOUN
cana-3101	129	49	to	to	ADP
cana-3101	129	50	pre	pre	ADJ
cana-3101	129	51	-	-	NOUN
cana-3101	129	52	process	process	ADJ
cana-3101	129	53	data	datum	NOUN
cana-3101	129	54	end	end	VERB
cana-3101	129	55	if	if	SCONJ
cana-3101	129	56	//	//	NUM
cana-3101	129	57	step	step	NOUN
cana-3101	129	58	11	11	NUM
cana-3101	129	59	:	:	PUNCT
cana-3101	129	60	end	end	VERB
cana-3101	129	61	the	the	DET
cana-3101	129	62	process	process	NOUN
cana-3101	129	63	stop	stop	VERB
cana-3101	129	64	end	end	VERB
cana-3101	129	65	•	•	NOUN
cana-3101	129	66	data	datum	NOUN
cana-3101	129	67	preprocessing	preprocessing	NOUN
cana-3101	129	68	in	in	ADP
cana-3101	129	69	the	the	DET
cana-3101	129	70	initial	initial	ADJ
cana-3101	129	71	phase	phase	NOUN
cana-3101	129	72	of	of	ADP
cana-3101	129	73	model	model	NOUN
cana-3101	129	74	training	training	NOUN
cana-3101	129	75	,	,	PUNCT
cana-3101	129	76	specifically	specifically	ADV
cana-3101	129	77	during	during	ADP
cana-3101	129	78	data	datum	NOUN
cana-3101	129	79	pre	pre	ADJ
cana-3101	129	80	-	-	NOUN
cana-3101	129	81	processing	processing	ADJ
cana-3101	129	82	,	,	PUNCT
cana-3101	129	83	we	we	PRON
cana-3101	129	84	extracted	extract	VERB
cana-3101	129	85	various	various	ADJ
cana-3101	129	86	features	feature	NOUN
cana-3101	129	87	from	from	ADP
cana-3101	129	88	the	the	DET
cana-3101	129	89	raw	raw	ADJ
cana-3101	129	90	dataset	dataset	NOUN
cana-3101	129	91	.	.	PUNCT
cana-3101	130	1	an	an	DET
cana-3101	130	2	ecg	ecg	PROPN
cana-3101	130	3	signal	signal	NOUN
cana-3101	130	4	contains	contain	VERB
cana-3101	130	5	multiple	multiple	ADJ
cana-3101	130	6	fiducial	fiducial	ADJ
cana-3101	130	7	points	point	NOUN
cana-3101	130	8	,	,	PUNCT
cana-3101	130	9	which	which	PRON
cana-3101	130	10	can	can	AUX
cana-3101	130	11	be	be	AUX
cana-3101	130	12	used	use	VERB
cana-3101	130	13	to	to	PART
cana-3101	130	14	segment	segment	VERB
cana-3101	130	15	a	a	DET
cana-3101	130	16	long	long	ADJ
cana-3101	130	17	signal	signal	NOUN
cana-3101	130	18	into	into	ADP
cana-3101	130	19	smaller	small	ADJ
cana-3101	130	20	sections	section	NOUN
cana-3101	130	21	.	.	PUNCT
cana-3101	131	1	the	the	DET
cana-3101	131	2	signal	signal	NOUN
cana-3101	131	3	underwent	undergo	VERB
cana-3101	131	4	an	an	DET
cana-3101	131	5	initial	initial	ADJ
cana-3101	131	6	resampling	resampling	NOUN
cana-3101	131	7	at	at	ADP
cana-3101	131	8	a	a	DET
cana-3101	131	9	frequency	frequency	NOUN
cana-3101	131	10	of	of	ADP
cana-3101	131	11	200	200	NUM
cana-3101	131	12	hz	hz	NOUN
cana-3101	131	13	.	.	PUNCT
cana-3101	132	1	subsequently	subsequently	ADV
cana-3101	132	2	,	,	PUNCT
cana-3101	132	3	we	we	PRON
cana-3101	132	4	identified	identify	VERB
cana-3101	132	5	all	all	PRON
cana-3101	132	6	of	of	ADP
cana-3101	132	7	the	the	DET
cana-3101	132	8	'	'	PUNCT
cana-3101	132	9	r	r	NOUN
cana-3101	132	10	'	'	PUNCT
cana-3101	132	11	points	point	NOUN
cana-3101	132	12	and	and	CCONJ
cana-3101	132	13	selected	select	VERB
cana-3101	132	14	a	a	DET
cana-3101	132	15	one	one	NUM
cana-3101	132	16	-	-	PUNCT
cana-3101	132	17	second	second	NOUN
cana-3101	132	18	time	time	NOUN
cana-3101	132	19	window	window	NOUN
cana-3101	132	20	for	for	ADP
cana-3101	132	21	each	each	PRON
cana-3101	132	22	of	of	ADP
cana-3101	132	23	them	they	PRON
cana-3101	132	24	.	.	PUNCT
cana-3101	133	1	consequently	consequently	ADV
cana-3101	133	2	,	,	PUNCT
cana-3101	133	3	we	we	PRON
cana-3101	133	4	acquired	acquire	VERB
cana-3101	133	5	a	a	DET
cana-3101	133	6	substantial	substantial	ADJ
cana-3101	133	7	quantity	quantity	NOUN
cana-3101	133	8	of	of	ADP
cana-3101	133	9	'	'	PUNCT
cana-3101	133	10	qrs	qrs	PROPN
cana-3101	133	11	'	'	PUNCT
cana-3101	133	12	combinations	combination	NOUN
cana-3101	133	13	,	,	PUNCT
cana-3101	133	14	each	each	PRON
cana-3101	133	15	comprising	comprise	VERB
cana-3101	133	16	200	200	NUM
cana-3101	133	17	respondents	respondent	NOUN
cana-3101	133	18	.	.	PUNCT
cana-3101	134	1	approximately	approximately	ADV
cana-3101	134	2	,	,	PUNCT
cana-3101	134	3	20	20	NUM
cana-3101	134	4	complexes	complex	NOUN
cana-3101	134	5	were	be	AUX
cana-3101	134	6	selected	select	VERB
cana-3101	134	7	at	at	ADP
cana-3101	134	8	various	various	ADJ
cana-3101	134	9	time	time	NOUN
cana-3101	134	10	intervals	interval	NOUN
cana-3101	134	11	.	.	PUNCT
cana-3101	135	1	once	once	ADV
cana-3101	135	2	all	all	DET
cana-3101	135	3	individual	individual	ADJ
cana-3101	135	4	records	record	NOUN
cana-3101	135	5	have	have	AUX
cana-3101	135	6	been	be	AUX
cana-3101	135	7	pre	pre	VERB
cana-3101	135	8	-	-	VERB
cana-3101	135	9	processed	process	VERB
cana-3101	135	10	,	,	PUNCT
cana-3101	135	11	the	the	DET
cana-3101	135	12	complexes	complex	NOUN
cana-3101	135	13	can	can	AUX
cana-3101	135	14	be	be	AUX
cana-3101	135	15	utilized	utilize	VERB
cana-3101	135	16	as	as	ADP
cana-3101	135	17	training	train	VERB
cana-3101	135	18	datasets	dataset	NOUN
cana-3101	135	19	for	for	ADP
cana-3101	135	20	the	the	DET
cana-3101	135	21	cnn	cnn	PROPN
cana-3101	135	22	.	.	PUNCT
cana-3101	136	1	•	•	NUM
cana-3101	136	2	creating	create	VERB
cana-3101	136	3	model	model	NOUN
cana-3101	137	1	the	the	DET
cana-3101	137	2	proposed	propose	VERB
cana-3101	137	3	model	model	NOUN
cana-3101	137	4	was	be	AUX
cana-3101	137	5	developed	develop	VERB
cana-3101	137	6	using	use	VERB
cana-3101	137	7	a	a	DET
cana-3101	137	8	convolutional	convolutional	ADJ
cana-3101	137	9	neural	neural	ADJ
cana-3101	137	10	network	network	NOUN
cana-3101	137	11	framework	framework	NOUN
cana-3101	137	12	.	.	PUNCT
cana-3101	138	1	we	we	PRON
cana-3101	138	2	implemented	implement	VERB
cana-3101	138	3	the	the	DET
cana-3101	138	4	gradient	gradient	ADJ
cana-3101	138	5	descent	descent	NOUN
cana-3101	138	6	algorithm	algorithm	NOUN
cana-3101	138	7	to	to	PART
cana-3101	138	8	develop	develop	VERB
cana-3101	138	9	the	the	DET
cana-3101	138	10	convolutional	convolutional	ADJ
cana-3101	138	11	neural	neural	ADJ
cana-3101	138	12	network	network	NOUN
cana-3101	138	13	architecture	architecture	NOUN
cana-3101	138	14	over	over	ADP
cana-3101	138	15	20	20	NUM
cana-3101	138	16	epochs	epoch	NOUN
cana-3101	138	17	to	to	PART
cana-3101	138	18	optimize	optimize	VERB
cana-3101	138	19	the	the	DET
cana-3101	138	20	network	network	NOUN
cana-3101	138	21	model	model	NOUN
cana-3101	138	22	and	and	CCONJ
cana-3101	138	23	improve	improve	VERB
cana-3101	138	24	its	its	PRON
cana-3101	138	25	efficiency	efficiency	NOUN
cana-3101	138	26	.	.	PUNCT
cana-3101	139	1	each	each	DET
cana-3101	139	2	batch	batch	NOUN
cana-3101	139	3	contained	contain	VERB
cana-3101	139	4	approximately	approximately	ADV
cana-3101	139	5	16	16	NUM
cana-3101	139	6	samples	sample	NOUN
cana-3101	139	7	.	.	PUNCT
cana-3101	140	1	•	•	NUM
cana-3101	140	2	authentication	authentication	NOUN
cana-3101	140	3	procedure	procedure	NOUN
cana-3101	140	4	convolution	convolution	NOUN
cana-3101	140	5	layers	layer	NOUN
cana-3101	140	6	containing	contain	VERB
cana-3101	140	7	data	datum	NOUN
cana-3101	140	8	pertinent	pertinent	ADJ
cana-3101	140	9	to	to	ADP
cana-3101	140	10	the	the	DET
cana-3101	140	11	ecg	ecg	PROPN
cana-3101	140	12	signal	signal	NOUN
cana-3101	140	13	are	be	AUX
cana-3101	140	14	stored	store	VERB
cana-3101	140	15	in	in	ADP
cana-3101	140	16	the	the	DET
cana-3101	140	17	database	database	NOUN
cana-3101	140	18	.	.	PUNCT
cana-3101	141	1	subsequently	subsequently	ADV
cana-3101	141	2	,	,	PUNCT
cana-3101	141	3	the	the	DET
cana-3101	141	4	previously	previously	ADV
cana-3101	141	5	trained	train	VERB
cana-3101	141	6	cnn	cnn	PROPN
cana-3101	141	7	-	-	PUNCT
cana-3101	141	8	based	base	VERB
cana-3101	141	9	structure	structure	NOUN
cana-3101	141	10	was	be	AUX
cana-3101	141	11	modified	modify	VERB
cana-3101	141	12	by	by	ADP
cana-3101	141	13	eliminating	eliminate	VERB
cana-3101	141	14	the	the	DET
cana-3101	141	15	fully	fully	ADV
cana-3101	141	16	connected	connected	ADJ
cana-3101	141	17	layers	layer	NOUN
cana-3101	141	18	to	to	PART
cana-3101	141	19	achieve	achieve	VERB
cana-3101	141	20	the	the	DET
cana-3101	141	21	high	high	ADJ
cana-3101	141	22	-	-	PUNCT
cana-3101	141	23	dimensional	dimensional	ADJ
cana-3101	141	24	characteristics	characteristic	NOUN
cana-3101	141	25	of	of	ADP
cana-3101	141	26	the	the	DET
cana-3101	141	27	ecg	ecg	PROPN
cana-3101	141	28	signals	signal	NOUN
cana-3101	141	29	.	.	PUNCT
cana-3101	142	1	initially	initially	ADV
cana-3101	142	2	,	,	PUNCT
cana-3101	142	3	it	it	PRON
cana-3101	142	4	was	be	AUX
cana-3101	142	5	determined	determine	VERB
cana-3101	142	6	that	that	SCONJ
cana-3101	142	7	a	a	DET
cana-3101	142	8	registered	register	VERB
cana-3101	142	9	patient	patient	NOUN
cana-3101	142	10	had	have	AUX
cana-3101	142	11	created	create	VERB
cana-3101	142	12	an	an	DET
cana-3101	142	13	original	original	ADJ
cana-3101	142	14	database	database	NOUN
cana-3101	142	15	by	by	ADP
cana-3101	142	16	utilizing	utilize	VERB
cana-3101	142	17	their	their	PRON
cana-3101	142	18	prior	prior	ADJ
cana-3101	142	19	ecg	ecg	PROPN
cana-3101	142	20	signals	signal	NOUN
cana-3101	142	21	.	.	PUNCT
cana-3101	143	1	upon	upon	SCONJ
cana-3101	143	2	receiving	receive	VERB
cana-3101	143	3	a	a	DET
cana-3101	143	4	new	new	ADJ
cana-3101	143	5	signup	signup	ADJ
cana-3101	143	6	request	request	NOUN
cana-3101	143	7	,	,	PUNCT
cana-3101	143	8	our	our	PRON
cana-3101	143	9	model	model	NOUN
cana-3101	143	10	aligns	align	VERB
cana-3101	143	11	it	it	PRON
cana-3101	143	12	with	with	ADP
cana-3101	143	13	the	the	DET
cana-3101	143	14	original	original	ADJ
cana-3101	143	15	database	database	NOUN
cana-3101	143	16	and	and	CCONJ
cana-3101	143	17	calculates	calculate	VERB
cana-3101	143	18	the	the	DET
cana-3101	143	19	mapping	mapping	NOUN
cana-3101	143	20	score	score	NOUN
cana-3101	143	21	by	by	ADP
cana-3101	143	22	using	use	VERB
cana-3101	143	23	the	the	DET
cana-3101	143	24	euclidean	euclidean	ADJ
cana-3101	143	25	distance	distance	NOUN
cana-3101	143	26	formula	formula	NOUN
cana-3101	143	27	.	.	PUNCT
cana-3101	144	1	𝒅𝒊𝒔𝒕𝒂𝒏𝒄𝒆(𝒂	𝒅𝒊𝒔𝒕𝒂𝒏𝒄𝒆(𝒂	NOUN
cana-3101	144	2	,	,	PUNCT
cana-3101	144	3	𝒃	𝒃	NOUN
cana-3101	144	4	)	)	PUNCT
cana-3101	144	5	=	=	SYM
cana-3101	144	6	√(𝒂𝟏	√(𝒂𝟏	NOUN
cana-3101	144	7	−	−	NOUN
cana-3101	144	8	𝒃𝟏)𝟐	𝒃𝟏)𝟐	PROPN
cana-3101	144	9	+	+	CCONJ
cana-3101	144	10	(	(	PUNCT
cana-3101	144	11	𝒂𝟐	𝒂𝟐	NOUN
cana-3101	144	12	−	−	PROPN
cana-3101	145	1	𝒃𝟐)𝟐	𝒃𝟐)𝟐	PROPN
cana-3101	146	1	+	+	CCONJ
cana-3101	146	2	⋯	⋯	VERB
cana-3101	146	3	+	+	CCONJ
cana-3101	146	4	(	(	PUNCT
cana-3101	146	5	𝒂𝒏	𝒂𝒏	ADP
cana-3101	146	6	−	−	PROPN
cana-3101	146	7	𝒃𝒏)𝟐	𝒃𝒏)𝟐	PROPN
cana-3101	146	8	(	(	PUNCT
cana-3101	146	9	1	1	X
cana-3101	146	10	)	)	PUNCT
cana-3101	146	11	communications	communication	NOUN
cana-3101	146	12	on	on	ADP
cana-3101	146	13	applied	apply	VERB
cana-3101	146	14	nonlinear	nonlinear	ADJ
cana-3101	146	15	analysis	analysis	NOUN
cana-3101	146	16	issn	issn	NOUN
cana-3101	146	17	:	:	PUNCT
cana-3101	146	18	1074	1074	NUM
cana-3101	146	19	-	-	PUNCT
cana-3101	146	20	133x	133x	NUM
cana-3101	146	21	vol	vol	NOUN
cana-3101	146	22	32	32	NUM
cana-3101	146	23	no	no	NOUN
cana-3101	146	24	.	.	PUNCT
cana-3101	147	1	5s	5s	NUM
cana-3101	147	2	(	(	PUNCT
cana-3101	147	3	2025	2025	NUM
cana-3101	147	4	)	)	PUNCT
cana-3101	147	5	309	309	NUM
cana-3101	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	147	7	where	where	SCONJ
cana-3101	147	8	ai	ai	NOUN
cana-3101	147	9	is	be	AUX
cana-3101	147	10	used	use	VERB
cana-3101	147	11	to	to	PART
cana-3101	147	12	signify	signify	VERB
cana-3101	147	13	the	the	DET
cana-3101	147	14	values	value	NOUN
cana-3101	147	15	of	of	ADP
cana-3101	147	16	high	high	ADJ
cana-3101	147	17	-	-	PUNCT
cana-3101	147	18	dimensional	dimensional	ADJ
cana-3101	147	19	traits	trait	NOUN
cana-3101	147	20	of	of	ADP
cana-3101	147	21	the	the	DET
cana-3101	147	22	patient	patient	ADJ
cana-3101	147	23	data	datum	NOUN
cana-3101	147	24	and	and	CCONJ
cana-3101	147	25	bi	bi	NOUN
cana-3101	147	26	is	be	AUX
cana-3101	147	27	used	use	VERB
cana-3101	147	28	to	to	PART
cana-3101	147	29	signify	signify	VERB
cana-3101	147	30	the	the	DET
cana-3101	147	31	comparable	comparable	ADJ
cana-3101	147	32	characteristics	characteristic	NOUN
cana-3101	147	33	of	of	ADP
cana-3101	147	34	the	the	DET
cana-3101	147	35	database	database	NOUN
cana-3101	147	36	.	.	PUNCT
cana-3101	148	1	if	if	SCONJ
cana-3101	148	2	distance(a	distance(a	PROPN
cana-3101	148	3	,	,	PUNCT
cana-3101	148	4	b	b	NOUN
cana-3101	148	5	)	)	PUNCT
cana-3101	148	6	is	be	AUX
cana-3101	148	7	greater	great	ADJ
cana-3101	148	8	than	than	ADP
cana-3101	148	9	the	the	DET
cana-3101	148	10	threshold	threshold	NOUN
cana-3101	148	11	distance	distance	NOUN
cana-3101	148	12	which	which	PRON
cana-3101	148	13	is	be	AUX
cana-3101	148	14	0.94	0.94	NUM
cana-3101	148	15	in	in	ADP
cana-3101	148	16	the	the	DET
cana-3101	148	17	proposed	propose	VERB
cana-3101	148	18	model	model	NOUN
cana-3101	148	19	,	,	PUNCT
cana-3101	148	20	only	only	ADV
cana-3101	148	21	the	the	DET
cana-3101	148	22	patient	patient	NOUN
cana-3101	148	23	passes	pass	VERB
cana-3101	148	24	the	the	DET
cana-3101	148	25	authentication	authentication	NOUN
cana-3101	148	26	process	process	NOUN
cana-3101	148	27	and	and	CCONJ
cana-3101	148	28	is	be	AUX
cana-3101	148	29	granted	grant	VERB
cana-3101	148	30	access	access	NOUN
cana-3101	148	31	to	to	ADP
cana-3101	148	32	the	the	DET
cana-3101	148	33	server	server	NOUN
cana-3101	148	34	;	;	PUNCT
cana-3101	148	35	otherwise	otherwise	ADV
cana-3101	148	36	,	,	PUNCT
cana-3101	148	37	the	the	DET
cana-3101	148	38	patient	patient	NOUN
cana-3101	148	39	refuses	refuse	VERB
cana-3101	148	40	.	.	PUNCT
cana-3101	149	1	•	•	NUM
cana-3101	149	2	complexity	complexity	NOUN
cana-3101	149	3	improvisation	improvisation	NOUN
cana-3101	149	4	of	of	ADP
cana-3101	149	5	the	the	DET
cana-3101	149	6	model	model	NOUN
cana-3101	149	7	because	because	SCONJ
cana-3101	149	8	the	the	DET
cana-3101	149	9	different	different	ADJ
cana-3101	149	10	weight	weight	NOUN
cana-3101	149	11	values	value	NOUN
cana-3101	149	12	in	in	ADP
cana-3101	149	13	the	the	DET
cana-3101	149	14	convolution	convolution	NOUN
cana-3101	149	15	layers	layer	NOUN
cana-3101	149	16	are	be	AUX
cana-3101	149	17	floating	float	VERB
cana-3101	149	18	-	-	PUNCT
cana-3101	149	19	point	point	NOUN
cana-3101	149	20	integers	integer	NOUN
cana-3101	149	21	,	,	PUNCT
cana-3101	149	22	the	the	DET
cana-3101	149	23	cnnbased	cnnbase	VERB
cana-3101	149	24	architecture	architecture	NOUN
cana-3101	149	25	offers	offer	VERB
cana-3101	149	26	outstanding	outstanding	ADJ
cana-3101	149	27	accuracy	accuracy	NOUN
cana-3101	149	28	values	value	NOUN
cana-3101	149	29	,	,	PUNCT
cana-3101	149	30	but	but	CCONJ
cana-3101	149	31	has	have	VERB
cana-3101	149	32	tremendous	tremendous	ADJ
cana-3101	149	33	complexity	complexity	NOUN
cana-3101	149	34	.	.	PUNCT
cana-3101	150	1	various	various	ADJ
cana-3101	150	2	floating	float	VERB
cana-3101	150	3	-	-	PUNCT
cana-3101	150	4	point	point	NOUN
cana-3101	150	5	computations	computation	NOUN
cana-3101	150	6	are	be	AUX
cana-3101	150	7	required	require	VERB
cana-3101	150	8	to	to	PART
cana-3101	150	9	determine	determine	VERB
cana-3101	150	10	the	the	DET
cana-3101	150	11	output	output	NOUN
cana-3101	150	12	of	of	ADP
cana-3101	150	13	a	a	DET
cana-3101	150	14	cnn	cnn	PROPN
cana-3101	150	15	model	model	NOUN
cana-3101	150	16	that	that	PRON
cana-3101	150	17	relies	rely	VERB
cana-3101	150	18	on	on	ADP
cana-3101	150	19	convolution	convolution	NOUN
cana-3101	150	20	calculations	calculation	NOUN
cana-3101	150	21	and	and	CCONJ
cana-3101	150	22	has	have	VERB
cana-3101	150	23	a	a	DET
cana-3101	150	24	major	major	ADJ
cana-3101	150	25	impact	impact	NOUN
cana-3101	150	26	on	on	ADP
cana-3101	150	27	performance	performance	NOUN
cana-3101	150	28	values	value	NOUN
cana-3101	150	29	.	.	PUNCT
cana-3101	151	1	to	to	PART
cana-3101	151	2	address	address	VERB
cana-3101	151	3	this	this	DET
cana-3101	151	4	problem	problem	NOUN
cana-3101	151	5	,	,	PUNCT
cana-3101	151	6	we	we	PRON
cana-3101	151	7	replaced	replace	VERB
cana-3101	151	8	the	the	DET
cana-3101	151	9	original	original	ADJ
cana-3101	151	10	weight	weight	NOUN
cana-3101	151	11	values	value	NOUN
cana-3101	151	12	with	with	ADP
cana-3101	151	13	the	the	DET
cana-3101	151	14	binary	binary	ADJ
cana-3101	151	15	and	and	CCONJ
cana-3101	151	16	approximate	approximate	ADJ
cana-3101	151	17	weight	weight	NOUN
cana-3101	151	18	values	value	NOUN
cana-3101	151	19	.	.	PUNCT
cana-3101	152	1	•	•	NUM
cana-3101	152	2	binary	binary	NOUN
cana-3101	152	3	weight	weight	NOUN
cana-3101	152	4	conversion	conversion	NOUN
cana-3101	152	5	in	in	ADP
cana-3101	152	6	binary	binary	PROPN
cana-3101	152	7	weighted	weight	VERB
cana-3101	152	8	approach	approach	NOUN
cana-3101	152	9	we	we	PRON
cana-3101	152	10	replaced	replace	VERB
cana-3101	152	11	original	original	ADJ
cana-3101	152	12	floating	float	VERB
cana-3101	152	13	-	-	PUNCT
cana-3101	152	14	point	point	NOUN
cana-3101	152	15	integers	integer	NOUN
cana-3101	152	16	with	with	ADP
cana-3101	152	17	binary	binary	ADJ
cana-3101	152	18	digits	digit	NOUN
cana-3101	152	19	(	(	PUNCT
cana-3101	152	20	1	1	NUM
cana-3101	152	21	and	and	CCONJ
cana-3101	152	22	-1	-1	ADJ
cana-3101	152	23	)	)	PUNCT
cana-3101	152	24	.	.	PUNCT
cana-3101	153	1	to	to	PART
cana-3101	153	2	carry	carry	VERB
cana-3101	153	3	out	out	ADP
cana-3101	153	4	this	this	DET
cana-3101	153	5	transformation	transformation	NOUN
cana-3101	153	6	,	,	PUNCT
cana-3101	153	7	we	we	PRON
cana-3101	153	8	use	use	VERB
cana-3101	153	9	the	the	DET
cana-3101	153	10	sign	sign	NOUN
cana-3101	153	11	function	function	NOUN
cana-3101	153	12	:	:	PUNCT
cana-3101	153	13	�	�	PROPN
cana-3101	153	14	̅	̅	NOUN
cana-3101	153	15	�	�	NOUN
cana-3101	153	16	=	=	PUNCT
cana-3101	153	17	(	(	PUNCT
cana-3101	153	18	1	1	NUM
cana-3101	153	19	𝑖𝑓	𝑖𝑓	ADP
cana-3101	153	20	𝑤𝑖	𝑤𝑖	ADP
cana-3101	153	21	≥	≥	NOUN
cana-3101	153	22	0	0	NUM
cana-3101	153	23	−1	−1	NOUN
cana-3101	153	24	𝑖𝑓	𝑖𝑓	ADP
cana-3101	153	25	𝑤𝑖	𝑤𝑖	ADP
cana-3101	153	26	<	<	X
cana-3101	153	27	0	0	NUM
cana-3101	153	28	)	)	PUNCT
cana-3101	153	29	(	(	PUNCT
cana-3101	153	30	𝟐	𝟐	X
cana-3101	153	31	)	)	PUNCT
cana-3101	153	32	binary	binary	ADJ
cana-3101	153	33	weights	weight	NOUN
cana-3101	153	34	have	have	VERB
cana-3101	153	35	fewer	few	ADJ
cana-3101	153	36	multiplication	multiplication	NOUN
cana-3101	153	37	operations	operation	NOUN
cana-3101	153	38	than	than	ADP
cana-3101	153	39	the	the	DET
cana-3101	153	40	original	original	ADJ
cana-3101	153	41	weights	weight	NOUN
cana-3101	153	42	and	and	CCONJ
cana-3101	153	43	only	only	ADV
cana-3101	153	44	require	require	VERB
cana-3101	153	45	an	an	DET
cana-3101	153	46	inversion	inversion	NOUN
cana-3101	153	47	operation	operation	NOUN
cana-3101	153	48	in	in	ADP
cana-3101	153	49	the	the	DET
cana-3101	153	50	forward	forward	ADJ
cana-3101	153	51	transmission	transmission	NOUN
cana-3101	153	52	.	.	PUNCT
cana-3101	154	1	•	•	NUM
cana-3101	154	2	approximation	approximation	NOUN
cana-3101	154	3	weight	weight	NOUN
cana-3101	154	4	conversion	conversion	NOUN
cana-3101	154	5	the	the	DET
cana-3101	154	6	original	original	ADJ
cana-3101	154	7	weight	weight	NOUN
cana-3101	154	8	values	value	NOUN
cana-3101	154	9	were	be	AUX
cana-3101	154	10	adjusted	adjust	VERB
cana-3101	154	11	by	by	ADP
cana-3101	154	12	using	use	VERB
cana-3101	154	13	exponential	exponential	ADJ
cana-3101	154	14	numbers	number	NOUN
cana-3101	154	15	throughout	throughout	ADP
cana-3101	154	16	the	the	DET
cana-3101	154	17	procedure	procedure	NOUN
cana-3101	154	18	.	.	PUNCT
cana-3101	155	1	without	without	ADP
cana-3101	155	2	sacrificing	sacrifice	VERB
cana-3101	155	3	generality	generality	NOUN
cana-3101	155	4	,	,	PUNCT
cana-3101	155	5	the	the	DET
cana-3101	155	6	floating	float	VERB
cana-3101	155	7	-	-	PUNCT
cana-3101	155	8	point	point	NOUN
cana-3101	155	9	number	number	NOUN
cana-3101	155	10	weight	weight	NOUN
cana-3101	155	11	x	x	PUNCT
cana-3101	155	12	can	can	AUX
cana-3101	155	13	be	be	AUX
cana-3101	155	14	expressed	express	VERB
cana-3101	155	15	as	as	ADP
cana-3101	155	16	x=	x=	PROPN
cana-3101	155	17	p/2^n	p/2^n	PROPN
cana-3101	155	18	,	,	PUNCT
cana-3101	155	19	where	where	SCONJ
cana-3101	155	20	p	p	NOUN
cana-3101	155	21	is	be	AUX
cana-3101	155	22	integer	integer	NOUN
cana-3101	155	23	.	.	PUNCT
cana-3101	156	1	furthermore	furthermore	ADV
cana-3101	156	2	,	,	PUNCT
cana-3101	156	3	any	any	DET
cana-3101	156	4	integer	integer	NOUN
cana-3101	156	5	p	p	NOUN
cana-3101	156	6	can	can	AUX
cana-3101	156	7	be	be	AUX
cana-3101	156	8	expressed	express	VERB
cana-3101	156	9	as	as	ADP
cana-3101	156	10	the	the	DET
cana-3101	156	11	sum	sum	NOUN
cana-3101	156	12	of	of	ADP
cana-3101	156	13	a	a	DET
cana-3101	156	14	series	series	NOUN
cana-3101	156	15	of	of	ADP
cana-3101	156	16	exponents	exponent	NOUN
cana-3101	156	17	(	(	PUNCT
cana-3101	156	18	p	p	X
cana-3101	156	19	=	=	NOUN
cana-3101	156	20	2x	2x	NOUN
cana-3101	156	21	+	+	CCONJ
cana-3101	156	22	2y+	2y+	NUM
cana-3101	156	23	...	...	PUNCT
cana-3101	156	24	)	)	PUNCT
cana-3101	156	25	,	,	PUNCT
cana-3101	156	26	which	which	PRON
cana-3101	156	27	can	can	AUX
cana-3101	156	28	be	be	AUX
cana-3101	156	29	converted	convert	VERB
cana-3101	156	30	into	into	ADP
cana-3101	156	31	additional	additional	ADJ
cana-3101	156	32	bit	bit	NOUN
cana-3101	156	33	-	-	PUNCT
cana-3101	156	34	shifting	shift	VERB
cana-3101	156	35	operations	operation	NOUN
cana-3101	156	36	.	.	PUNCT
cana-3101	157	1	the	the	DET
cana-3101	157	2	approximation	approximation	NOUN
cana-3101	157	3	extent	extent	NOUN
cana-3101	157	4	is	be	AUX
cana-3101	157	5	controlled	control	VERB
cana-3101	157	6	by	by	ADP
cana-3101	157	7	the	the	DET
cana-3101	157	8	hyperparameter	hyperparameter	NOUN
cana-3101	157	9	n.	n.	PROPN
cana-3101	157	10	the	the	DET
cana-3101	157	11	estimated	estimate	VERB
cana-3101	157	12	weights	weight	NOUN
cana-3101	157	13	were	be	AUX
cana-3101	157	14	similar	similar	ADJ
cana-3101	157	15	to	to	ADP
cana-3101	157	16	the	the	DET
cana-3101	157	17	old	old	ADJ
cana-3101	157	18	weights	weight	NOUN
cana-3101	157	19	,	,	PUNCT
cana-3101	157	20	as	as	SCONJ
cana-3101	157	21	n	n	PRON
cana-3101	157	22	increased	increase	VERB
cana-3101	157	23	.	.	PUNCT
cana-3101	158	1	the	the	DET
cana-3101	158	2	accuracy	accuracy	NOUN
cana-3101	158	3	score	score	NOUN
cana-3101	158	4	of	of	ADP
cana-3101	158	5	the	the	DET
cana-3101	158	6	authentication	authentication	NOUN
cana-3101	158	7	process	process	NOUN
cana-3101	158	8	is	be	AUX
cana-3101	158	9	essential	essential	ADJ
cana-3101	158	10	for	for	ADP
cana-3101	158	11	its	its	PRON
cana-3101	158	12	application	application	NOUN
cana-3101	158	13	to	to	ADP
cana-3101	158	14	the	the	DET
cana-3101	158	15	users	user	NOUN
cana-3101	158	16	.	.	PUNCT
cana-3101	159	1	consequently	consequently	ADV
cana-3101	159	2	,	,	PUNCT
cana-3101	159	3	we	we	PRON
cana-3101	159	4	assessed	assess	VERB
cana-3101	159	5	the	the	DET
cana-3101	159	6	process	process	NOUN
cana-3101	159	7	accuracy	accuracy	NOUN
cana-3101	159	8	of	of	ADP
cana-3101	159	9	the	the	DET
cana-3101	159	10	architecture	architecture	NOUN
cana-3101	159	11	by	by	ADP
cana-3101	159	12	using	use	VERB
cana-3101	159	13	three	three	NUM
cana-3101	159	14	threshold	threshold	NOUN
cana-3101	159	15	values	value	NOUN
cana-3101	159	16	.	.	PUNCT
cana-3101	160	1	for	for	ADP
cana-3101	160	2	the	the	DET
cana-3101	160	3	login	login	NOUN
cana-3101	160	4	check	check	NOUN
cana-3101	160	5	process	process	NOUN
cana-3101	160	6	,	,	PUNCT
cana-3101	160	7	we	we	PRON
cana-3101	160	8	arbitrarily	arbitrarily	ADV
cana-3101	160	9	split	split	VERB
cana-3101	160	10	the	the	DET
cana-3101	160	11	dataset	dataset	NOUN
cana-3101	160	12	between	between	ADP
cana-3101	160	13	intruders	intruder	NOUN
cana-3101	160	14	and	and	CCONJ
cana-3101	160	15	users	user	NOUN
cana-3101	160	16	.	.	PUNCT
cana-3101	161	1	we	we	PRON
cana-3101	161	2	tracked	track	VERB
cana-3101	161	3	the	the	DET
cana-3101	161	4	similarity	similarity	NOUN
cana-3101	161	5	scores	score	NOUN
cana-3101	161	6	of	of	ADP
cana-3101	161	7	each	each	DET
cana-3101	161	8	login	login	NOUN
cana-3101	161	9	transaction	transaction	NOUN
cana-3101	161	10	.	.	PUNCT
cana-3101	162	1	later	later	ADV
cana-3101	162	2	,	,	PUNCT
cana-3101	162	3	we	we	PRON
cana-3101	162	4	achieved	achieve	VERB
cana-3101	162	5	complete	complete	ADJ
cana-3101	162	6	precision	precision	NOUN
cana-3101	162	7	,	,	PUNCT
cana-3101	162	8	and	and	CCONJ
cana-3101	162	9	for	for	ADP
cana-3101	162	10	basis	basis	NOUN
cana-3101	162	11	cleaned	clean	VERB
cana-3101	162	12	dataset	dataset	ADJ
cana-3101	162	13	training	training	NOUN
cana-3101	162	14	,	,	PUNCT
cana-3101	162	15	it	it	PRON
cana-3101	162	16	the	the	DET
cana-3101	162	17	model	model	NOUN
cana-3101	162	18	with	with	ADP
cana-3101	162	19	an	an	DET
cana-3101	162	20	accuracy	accuracy	NOUN
cana-3101	162	21	98.22	98.22	NUM
cana-3101	162	22	%	%	NOUN
cana-3101	162	23	and	and	CCONJ
cana-3101	162	24	validation	validation	NOUN
cana-3101	162	25	loss	loss	NOUN
cana-3101	162	26	of	of	ADP
cana-3101	162	27	2.89	2.89	NUM
cana-3101	162	28	approx	approx	NOUN
cana-3101	162	29	.	.	PUNCT
cana-3101	163	1	the	the	DET
cana-3101	163	2	accuracy	accuracy	NOUN
cana-3101	163	3	score	score	NOUN
cana-3101	163	4	of	of	ADP
cana-3101	163	5	the	the	DET
cana-3101	163	6	authentication	authentication	NOUN
cana-3101	163	7	process	process	NOUN
cana-3101	163	8	is	be	AUX
cana-3101	163	9	essential	essential	ADJ
cana-3101	163	10	for	for	SCONJ
cana-3101	163	11	it	it	PRON
cana-3101	163	12	to	to	PART
cana-3101	163	13	be	be	AUX
cana-3101	163	14	put	put	VERB
cana-3101	163	15	into	into	ADP
cana-3101	163	16	user	user	NOUN
cana-3101	163	17	.	.	PUNCT
cana-3101	164	1	as	as	ADP
cana-3101	164	2	a	a	DET
cana-3101	164	3	result	result	NOUN
cana-3101	164	4	,	,	PUNCT
cana-3101	164	5	we	we	PRON
cana-3101	164	6	assessed	assess	VERB
cana-3101	164	7	the	the	DET
cana-3101	164	8	process	process	NOUN
cana-3101	164	9	's	's	PART
cana-3101	164	10	accuracy	accuracy	NOUN
cana-3101	164	11	of	of	ADP
cana-3101	164	12	the	the	DET
cana-3101	164	13	architecture	architecture	NOUN
cana-3101	164	14	on	on	ADP
cana-3101	164	15	three	three	NUM
cana-3101	164	16	different	different	ADJ
cana-3101	164	17	threshold	threshold	NOUN
cana-3101	164	18	values	value	NOUN
cana-3101	164	19	.	.	PUNCT
cana-3101	165	1	for	for	ADP
cana-3101	165	2	the	the	DET
cana-3101	165	3	process	process	NOUN
cana-3101	165	4	of	of	ADP
cana-3101	165	5	login	login	NOUN
cana-3101	165	6	check	check	NOUN
cana-3101	165	7	,	,	PUNCT
cana-3101	165	8	we	we	PRON
cana-3101	165	9	arbitrarily	arbitrarily	ADV
cana-3101	165	10	split	split	VERB
cana-3101	165	11	the	the	DET
cana-3101	165	12	dataset	dataset	NOUN
cana-3101	165	13	between	between	ADP
cana-3101	165	14	intruders	intruder	NOUN
cana-3101	165	15	and	and	CCONJ
cana-3101	165	16	users	user	NOUN
cana-3101	165	17	.	.	PUNCT
cana-3101	166	1	we	we	PRON
cana-3101	166	2	kept	keep	VERB
cana-3101	166	3	track	track	NOUN
cana-3101	166	4	of	of	ADP
cana-3101	166	5	the	the	DET
cana-3101	166	6	similarity	similarity	NOUN
cana-3101	166	7	score	score	NOUN
cana-3101	166	8	for	for	ADP
cana-3101	166	9	each	each	DET
cana-3101	166	10	login	login	NOUN
cana-3101	166	11	transaction	transaction	NOUN
cana-3101	166	12	.	.	PUNCT
cana-3101	167	1	later	later	ADV
cana-3101	167	2	,	,	PUNCT
cana-3101	167	3	we	we	PRON
cana-3101	167	4	achieved	achieve	VERB
cana-3101	167	5	complete	complete	ADJ
cana-3101	167	6	precision	precision	NOUN
cana-3101	167	7	and	and	CCONJ
cana-3101	167	8	for	for	ADP
cana-3101	167	9	basis	basis	NOUN
cana-3101	167	10	cleaned	clean	VERB
cana-3101	167	11	dataset	dataset	ADJ
cana-3101	167	12	training	training	NOUN
cana-3101	167	13	makes	make	VERB
cana-3101	167	14	it	it	PRON
cana-3101	167	15	the	the	DET
cana-3101	167	16	model	model	NOUN
cana-3101	167	17	which	which	PRON
cana-3101	167	18	has	have	VERB
cana-3101	167	19	accuracy	accuracy	NOUN
cana-3101	167	20	98.22	98.22	NUM
cana-3101	167	21	%	%	NOUN
cana-3101	167	22	and	and	CCONJ
cana-3101	167	23	val_loss	val_loss	X
cana-3101	167	24	is	be	AUX
cana-3101	167	25	2.89	2.89	NUM
cana-3101	167	26	approx	approx	NOUN
cana-3101	167	27	.	.	PUNCT
cana-3101	168	1	fig	fig	NOUN
cana-3101	168	2	.	.	PUNCT
cana-3101	169	1	3	3	NUM
cana-3101	169	2	model	model	NOUN
cana-3101	169	3	training	training	NOUN
cana-3101	169	4	loss	loss	NOUN
cana-3101	169	5	and	and	CCONJ
cana-3101	169	6	validation	validation	NOUN
cana-3101	169	7	loss	loss	NOUN
cana-3101	169	8	communications	communication	NOUN
cana-3101	169	9	on	on	ADP
cana-3101	169	10	applied	apply	VERB
cana-3101	169	11	nonlinear	nonlinear	ADJ
cana-3101	169	12	analysis	analysis	NOUN
cana-3101	169	13	issn	issn	NOUN
cana-3101	169	14	:	:	PUNCT
cana-3101	169	15	1074	1074	NUM
cana-3101	169	16	-	-	PUNCT
cana-3101	169	17	133x	133x	NUM
cana-3101	169	18	vol	vol	NOUN
cana-3101	169	19	32	32	NUM
cana-3101	169	20	no	no	NOUN
cana-3101	169	21	.	.	PUNCT
cana-3101	170	1	5s	5s	NUM
cana-3101	170	2	(	(	PUNCT
cana-3101	170	3	2025	2025	NUM
cana-3101	170	4	)	)	PUNCT
cana-3101	170	5	310	310	NUM
cana-3101	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	170	7	in	in	ADP
cana-3101	170	8	this	this	DET
cana-3101	170	9	model	model	NOUN
cana-3101	170	10	,	,	PUNCT
cana-3101	170	11	authors	author	NOUN
cana-3101	170	12	performed	perform	VERB
cana-3101	170	13	the	the	DET
cana-3101	170	14	epochs	epoch	NOUN
cana-3101	170	15	and	and	CCONJ
cana-3101	170	16	initially	initially	ADV
cana-3101	170	17	losses	loss	NOUN
cana-3101	170	18	are	be	AUX
cana-3101	170	19	high	high	ADJ
cana-3101	170	20	however	however	ADV
cana-3101	170	21	when	when	SCONJ
cana-3101	170	22	epochs	epoch	NOUN
cana-3101	170	23	gradually	gradually	ADV
cana-3101	170	24	increases	increase	VERB
cana-3101	170	25	,	,	PUNCT
cana-3101	170	26	the	the	DET
cana-3101	170	27	training	training	NOUN
cana-3101	170	28	and	and	CCONJ
cana-3101	170	29	validation	validation	NOUN
cana-3101	170	30	losses	loss	NOUN
cana-3101	170	31	decreases	decrease	VERB
cana-3101	170	32	simultaneously	simultaneously	ADV
cana-3101	170	33	.	.	PUNCT
cana-3101	171	1	s.	s.	PROPN
cana-3101	171	2	no	no	PROPN
cana-3101	171	3	.	.	PUNCT
cana-3101	172	1	models	model	NOUN
cana-3101	172	2	verification	verification	NOUN
cana-3101	172	3	(	(	PUNCT
cana-3101	172	4	%	%	NOUN
cana-3101	172	5	)	)	PUNCT
cana-3101	172	6	accuracy	accuracy	NOUN
cana-3101	172	7	(	(	PUNCT
cana-3101	172	8	%	%	NOUN
cana-3101	172	9	)	)	PUNCT
cana-3101	172	10	1	1	NUM
cana-3101	172	11	users	user	NOUN
cana-3101	172	12	100	100	NUM
cana-3101	172	13	99.19	99.19	NUM
cana-3101	172	14	2	2	NUM
cana-3101	172	15	intruder	intruder	NOUN
cana-3101	172	16	100	100	NUM
cana-3101	172	17	95.28	95.28	NUM
cana-3101	172	18	s.	s.	PROPN
cana-3101	172	19	no	no	PROPN
cana-3101	172	20	.	.	PUNCT
cana-3101	173	1	models	model	NOUN
cana-3101	173	2	threshold	threshold	VERB
cana-3101	173	3	values	value	NOUN
cana-3101	173	4	accuracy	accuracy	NOUN
cana-3101	173	5	(	(	PUNCT
cana-3101	173	6	%	%	NOUN
cana-3101	173	7	)	)	PUNCT
cana-3101	173	8	1	1	NUM
cana-3101	173	9	model_1	model_1	NOUN
cana-3101	173	10	0.98	0.98	NUM
cana-3101	173	11	95.21	95.21	NUM
cana-3101	173	12	2	2	NUM
cana-3101	173	13	model_2	model_2	NOUN
cana-3101	173	14	0.96	0.96	NUM
cana-3101	173	15	98.11	98.11	NUM
cana-3101	173	16	3	3	NUM
cana-3101	173	17	model_3	model_3	NOUN
cana-3101	173	18	0.94	0.94	NUM
cana-3101	173	19	99.62	99.62	NUM
cana-3101	173	20	the	the	DET
cana-3101	173	21	accuracy	accuracy	NOUN
cana-3101	173	22	value	value	NOUN
cana-3101	173	23	of	of	ADP
cana-3101	173	24	the	the	DET
cana-3101	173	25	model	model	NOUN
cana-3101	173	26	on	on	ADP
cana-3101	173	27	three	three	NUM
cana-3101	173	28	different	different	ADJ
cana-3101	173	29	threshold	threshold	NOUN
cana-3101	173	30	values	value	NOUN
cana-3101	173	31	which	which	PRON
cana-3101	173	32	are	be	AUX
cana-3101	173	33	0.94	0.94	NUM
cana-3101	173	34	,	,	PUNCT
cana-3101	173	35	0.96	0.96	NUM
cana-3101	173	36	,	,	PUNCT
cana-3101	173	37	and	and	CCONJ
cana-3101	173	38	0.98	0.98	NUM
cana-3101	173	39	respectively	respectively	ADV
cana-3101	173	40	for	for	ADP
cana-3101	173	41	model_3	model_3	NOUN
cana-3101	173	42	,	,	PUNCT
cana-3101	173	43	model_2	model_2	NOUN
cana-3101	173	44	,	,	PUNCT
cana-3101	173	45	and	and	CCONJ
cana-3101	173	46	model_1	model_1	PROPN
cana-3101	173	47	.	.	PUNCT
cana-3101	174	1	thus	thus	ADV
cana-3101	174	2	,	,	PUNCT
cana-3101	174	3	based	base	VERB
cana-3101	174	4	on	on	ADP
cana-3101	174	5	their	their	PRON
cana-3101	174	6	threshold	threshold	NOUN
cana-3101	174	7	value	value	NOUN
cana-3101	174	8	model_1	model_1	PROPN
cana-3101	174	9	,	,	PUNCT
cana-3101	174	10	model_2	model_2	PROPN
cana-3101	174	11	and	and	CCONJ
cana-3101	174	12	model_3	model_3	NOUN
cana-3101	174	13	are	be	AUX
cana-3101	174	14	given	give	VERB
cana-3101	174	15	average	average	ADJ
cana-3101	174	16	accuracy	accuracy	NOUN
cana-3101	174	17	95.21	95.21	NUM
cana-3101	174	18	,	,	PUNCT
cana-3101	174	19	98.11	98.11	NUM
cana-3101	174	20	and	and	CCONJ
cana-3101	174	21	99.62	99.62	NUM
cana-3101	174	22	%	%	NOUN
cana-3101	174	23	respectively	respectively	ADV
cana-3101	174	24	on	on	ADP
cana-3101	174	25	test	test	NOUN
cana-3101	174	26	datasets	dataset	NOUN
cana-3101	174	27	.	.	PUNCT
cana-3101	175	1	fig	fig	NOUN
cana-3101	175	2	.	.	PUNCT
cana-3101	176	1	4visualization	4visualization	NUM
cana-3101	176	2	of	of	ADP
cana-3101	176	3	models	model	NOUN
cana-3101	176	4	accuracies	accuracie	VERB
cana-3101	176	5	communications	communication	NOUN
cana-3101	176	6	on	on	ADP
cana-3101	176	7	applied	apply	VERB
cana-3101	176	8	nonlinear	nonlinear	ADJ
cana-3101	176	9	analysis	analysis	NOUN
cana-3101	176	10	issn	issn	NOUN
cana-3101	176	11	:	:	PUNCT
cana-3101	176	12	1074	1074	NUM
cana-3101	176	13	-	-	PUNCT
cana-3101	176	14	133x	133x	NUM
cana-3101	176	15	vol	vol	NOUN
cana-3101	176	16	32	32	NUM
cana-3101	176	17	no	no	NOUN
cana-3101	176	18	.	.	PUNCT
cana-3101	177	1	5s	5s	NUM
cana-3101	177	2	(	(	PUNCT
cana-3101	177	3	2025	2025	NUM
cana-3101	177	4	)	)	PUNCT
cana-3101	177	5	311	311	NUM
cana-3101	177	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3101	177	7	sample	sample	NOUN
cana-3101	177	8	data	datum	NOUN
cana-3101	177	9	inputs	input	NOUN
cana-3101	177	10	index	index	NOUN
cana-3101	177	11	label	label	NOUN
cana-3101	177	12	record	record	NOUN
cana-3101	177	13	0	0	NUM
cana-3101	177	14	1	1	NUM
cana-3101	177	15	2	2	NUM
cana-3101	177	16	498	498	NUM
cana-3101	177	17	patient0o1	patient0o1	ADV
cana-3101	177	18	s0014ire	s0014ire	ADP
cana-3101	177	19	0.199939	0.199939	NUM
cana-3101	177	20	0.191823	0.191823	NUM
cana-3101	177	21	0.214920	0.214920	NUM
cana-3101	177	22	438	438	NUM
cana-3101	177	23	patient001	patient001	VERB
cana-3101	177	24	s0014ire	s0014ire	ADP
cana-3101	177	25	0.199939	0.199939	NUM
cana-3101	177	26	0.191823	0.191823	NUM
cana-3101	177	27	0.214920	0.214920	NUM
cana-3101	177	28	497	497	NUM
cana-3101	177	29	patient001	patient001	VERB
cana-3101	177	30	s0014ire	s0014ire	ADP
cana-3101	177	31	0.166484	0.166484	NUM
cana-3101	177	32	0.203104	0.203104	NUM
cana-3101	177	33	0.198691	0.198691	NUM
cana-3101	177	34	448	448	NUM
cana-3101	177	35	patiento03	patiento03	NOUN
cana-3101	177	36	s0017ire	s0017ire	PROPN
cana-3101	178	1	0.708298	0.708298	NUM
cana-3101	178	2	0.712344	0.712344	NUM
cana-3101	178	3	0.735886	0.735886	NUM
cana-3101	178	4	449	449	NUM
cana-3101	178	5	patient001	patient001	VERB
cana-3101	178	6	s0014ire	s0014ire	ADP
cana-3101	178	7	0.166484	0.166484	NUM
cana-3101	178	8	0.203104	0.203104	NUM
cana-3101	178	9	0.198691	0.198691	NUM
cana-3101	178	10	339	339	NUM
cana-3101	178	11	patient0o2	patient0o2	NOUN
cana-3101	178	12	s0015ire	s0015ire	NUM
cana-3101	178	13	0.130575	0.130575	NUM
cana-3101	178	14	0.035678	0.035678	NUM
cana-3101	178	15	0.127130	0.127130	NUM
cana-3101	178	16	466	466	NUM
cana-3101	178	17	patientoo3	patientoo3	NOUN
cana-3101	178	18	s0017ire	s0017ire	NOUN
cana-3101	178	19	0.659788	0.659788	NUM
cana-3101	178	20	0.656352	0.656352	NUM
cana-3101	178	21	0.641516	0.641516	NUM
cana-3101	178	22	372	372	NUM
cana-3101	178	23	patient002	patient002	PROPN
cana-3101	178	24	s0015ire	s0015ire	ADP
cana-3101	178	25	0.213821	0.213821	NUM
cana-3101	178	26	0.104104	0.104104	NUM
cana-3101	178	27	0.181670	0.181670	NUM
cana-3101	178	28	429	429	NUM
cana-3101	178	29	patient001	patient001	PROPN
cana-3101	178	30	s0014ire	s0014ire	ADP
cana-3101	178	31	0.204671	0.204671	NUM
cana-3101	178	32	0.193204	0.193204	NUM
cana-3101	178	33	0.226268	0.226268	NUM
cana-3101	178	34	441	441	NUM
cana-3101	178	35	patiento03	patiento03	NOUN
cana-3101	178	36	s0017ire	s0017ire	PROPN
cana-3101	178	37	0.685253	0.685253	NUM
cana-3101	178	38	0.728064	0.728064	NUM
cana-3101	178	39	0.722454	0.722454	NUM
cana-3101	178	40	table	table	NOUN
cana-3101	178	41	4	4	NUM
cana-3101	178	42	performing	perform	VERB
cana-3101	178	43	testing	testing	NOUN
cana-3101	178	44	authentication	authentication	NOUN
cana-3101	178	45	of	of	ADP
cana-3101	178	46	patients	patient	NOUN
cana-3101	178	47	,	,	PUNCT
cana-3101	178	48	taking	take	VERB
cana-3101	178	49	10	10	NUM
cana-3101	178	50	sample	sample	NOUN
cana-3101	178	51	data	data	NOUN
cana-3101	178	52	records	record	NOUN
cana-3101	178	53	records	record	VERB
cana-3101	178	54	label	label	NOUN
cana-3101	178	55	accuracy	accuracy	NOUN
cana-3101	178	56	record	record	NOUN
cana-3101	178	57	1	1	NUM
cana-3101	178	58	patient001	patient001	PROPN
cana-3101	178	59	96.79	96.79	NUM
cana-3101	178	60	record	record	NOUN
cana-3101	178	61	2	2	NUM
cana-3101	178	62	patient001	patient001	PROPN
cana-3101	178	63	96.26	96.26	NUM
cana-3101	178	64	record	record	NOUN
cana-3101	178	65	3	3	NUM
cana-3101	178	66	patient001	patient001	PROPN
cana-3101	178	67	96.16	96.16	NUM
cana-3101	178	68	record	record	NOUN
cana-3101	178	69	4	4	NUM
cana-3101	178	70	patient003	patient003	PROPN
cana-3101	178	71	98.45	98.45	NUM
cana-3101	178	72	record	record	NOUN
cana-3101	178	73	5	5	NUM
cana-3101	178	74	patient001	patient001	PROPN
cana-3101	178	75	96.76	96.76	NUM
cana-3101	178	76	record	record	NOUN
cana-3101	178	77	6	6	NUM
cana-3101	178	78	patient002	patient002	PROPN
cana-3101	178	79	98.93	98.93	NUM
cana-3101	178	80	record	record	NOUN
cana-3101	178	81	7	7	NUM
cana-3101	178	82	patient003	patient003	PROPN
cana-3101	178	83	98.93	98.93	NUM
cana-3101	178	84	record	record	NOUN
cana-3101	178	85	8	8	NUM
cana-3101	178	86	patient002	patient002	PROPN
cana-3101	178	87	99.71	99.71	NUM
cana-3101	178	88	record	record	NOUN
cana-3101	178	89	9	9	NUM
cana-3101	178	90	patient001	patient001	PROPN
cana-3101	178	91	97.10	97.10	NUM
cana-3101	178	92	record	record	NOUN
cana-3101	178	93	10	10	NUM
cana-3101	178	94	patient003	patient003	PROPN
cana-3101	178	95	98.08	98.08	NUM
cana-3101	178	96	an	an	DET
cana-3101	178	97	authentication	authentication	NOUN
cana-3101	178	98	procedure	procedure	NOUN
cana-3101	178	99	was	be	AUX
cana-3101	178	100	performed	perform	VERB
cana-3101	178	101	for	for	ADP
cana-3101	178	102	various	various	ADJ
cana-3101	178	103	patient	patient	ADJ
cana-3101	178	104	records	record	NOUN
cana-3101	178	105	.	.	PUNCT
cana-3101	179	1	this	this	DET
cana-3101	179	2	section	section	NOUN
cana-3101	179	3	presents	present	VERB
cana-3101	179	4	several	several	ADJ
cana-3101	179	5	example	example	NOUN
cana-3101	179	6	records	record	NOUN
cana-3101	179	7	from	from	ADP
cana-3101	179	8	three	three	NUM
cana-3101	179	9	distinct	distinct	ADJ
cana-3101	179	10	patients	patient	NOUN
cana-3101	179	11	,	,	PUNCT
cana-3101	179	12	as	as	SCONJ
cana-3101	179	13	illustrated	illustrate	VERB
cana-3101	179	14	in	in	ADP
cana-3101	179	15	fig	fig	NOUN
cana-3101	179	16	.	.	PUNCT
cana-3101	180	1	5	5	NUM
cana-3101	181	1	and	and	CCONJ
cana-3101	181	2	listed	list	VERB
cana-3101	181	3	in	in	ADP
cana-3101	181	4	table	table	NOUN
cana-3101	181	5	4	4	NUM
cana-3101	181	6	,	,	PUNCT
cana-3101	181	7	based	base	VERB
cana-3101	181	8	on	on	ADP
cana-3101	181	9	sample	sample	NOUN
cana-3101	181	10	inputs	input	NOUN
cana-3101	181	11	.	.	PUNCT
cana-3101	182	1	this	this	DET
cana-3101	182	2	study	study	NOUN
cana-3101	182	3	addresses	address	VERB
cana-3101	182	4	this	this	DET
cana-3101	182	5	new	new	ADJ
cana-3101	182	6	model	model	NOUN
cana-3101	182	7	in	in	ADP
cana-3101	182	8	the	the	DET
cana-3101	182	9	methodology	methodology	NOUN
cana-3101	182	10	section	section	NOUN
cana-3101	182	11	.	.	PUNCT
cana-3101	183	1	to	to	PART
cana-3101	183	2	verify	verify	VERB
cana-3101	183	3	the	the	DET
cana-3101	183	4	validity	validity	NOUN
cana-3101	183	5	of	of	ADP
cana-3101	183	6	the	the	DET
cana-3101	183	7	patients	patient	NOUN
cana-3101	183	8	,	,	PUNCT
cana-3101	183	9	we	we	PRON
cana-3101	183	10	implemented	implement	VERB
cana-3101	183	11	a	a	DET
cana-3101	183	12	new	new	ADJ
cana-3101	183	13	model	model	NOUN
cana-3101	183	14	based	base	VERB
cana-3101	183	15	on	on	ADP
cana-3101	183	16	their	their	PRON
cana-3101	183	17	data	datum	NOUN
cana-3101	183	18	,	,	PUNCT
cana-3101	183	19	after	after	ADP
cana-3101	183	20	removing	remove	VERB
cana-3101	183	21	their	their	PRON
cana-3101	183	22	names	name	NOUN
cana-3101	183	23	and	and	CCONJ
cana-3101	183	24	report	report	NOUN
cana-3101	183	25	numbers	number	NOUN
cana-3101	183	26	.	.	PUNCT
cana-3101	184	1	the	the	DET
cana-3101	184	2	sample	sample	NOUN
cana-3101	184	3	input	input	NOUN
cana-3101	184	4	yield	yield	NOUN
cana-3101	184	5	values	value	NOUN
cana-3101	184	6	are	be	AUX
cana-3101	184	7	listed	list	VERB
cana-3101	184	8	in	in	ADP
cana-3101	184	9	table	table	NOUN
cana-3101	184	10	4	4	NUM
cana-3101	184	11	.	.	PUNCT
cana-3101	185	1	the	the	DET
cana-3101	185	2	obtained	obtain	VERB
cana-3101	185	3	values	value	NOUN
cana-3101	185	4	included	include	VERB
cana-3101	185	5	several	several	ADJ
cana-3101	185	6	entries	entry	NOUN
cana-3101	185	7	,	,	PUNCT
cana-3101	185	8	with	with	ADP
cana-3101	185	9	the	the	DET
cana-3101	185	10	final	final	ADJ
cana-3101	185	11	column	column	NOUN
cana-3101	185	12	of	of	ADP
cana-3101	185	13	this	this	DET
cana-3101	185	14	table	table	NOUN
cana-3101	185	15	indicating	indicate	VERB
cana-3101	185	16	the	the	DET
cana-3101	185	17	probability	probability	NOUN
cana-3101	185	18	of	of	ADP
cana-3101	185	19	being	be	AUX
cana-3101	185	20	an	an	DET
cana-3101	185	21	authenticated	authenticate	VERB
cana-3101	185	22	patient	patient	NOUN
cana-3101	185	23	.	.	PUNCT
cana-3101	186	1	4	4	X
cana-3101	186	2	.	.	X
cana-3101	186	3	conclusion	conclusion	NOUN
cana-3101	186	4	this	this	DET
cana-3101	186	5	study	study	NOUN
cana-3101	186	6	proposed	propose	VERB
cana-3101	186	7	a	a	DET
cana-3101	186	8	cnn	cnn	PROPN
cana-3101	186	9	-	-	PUNCT
cana-3101	186	10	based	base	VERB
cana-3101	186	11	classification	classification	NOUN
cana-3101	186	12	system	system	NOUN
cana-3101	186	13	for	for	ADP
cana-3101	186	14	ecg	ecg	PROPN
cana-3101	186	15	signals	signal	NOUN
cana-3101	186	16	constructed	construct	VERB
cana-3101	186	17	using	use	VERB
cana-3101	186	18	an	an	DET
cana-3101	186	19	ecg	ecg	PROPN
cana-3101	186	20	dataset	dataset	NOUN
cana-3101	186	21	as	as	ADP
cana-3101	186	22	the	the	DET
cana-3101	186	23	foundational	foundational	ADJ
cana-3101	186	24	framework	framework	NOUN
cana-3101	186	25	.	.	PUNCT
cana-3101	187	1	during	during	ADP
cana-3101	187	2	the	the	DET
cana-3101	187	3	preprocessing	preprocessing	NOUN
cana-3101	187	4	phase	phase	NOUN
cana-3101	187	5	,	,	PUNCT
cana-3101	187	6	various	various	ADJ
cana-3101	187	7	attributes	attribute	NOUN
cana-3101	187	8	were	be	AUX
cana-3101	187	9	extracted	extract	VERB
cana-3101	187	10	from	from	ADP
cana-3101	187	11	the	the	DET
cana-3101	187	12	raw	raw	ADJ
cana-3101	187	13	dataset	dataset	NOUN
cana-3101	187	14	.	.	PUNCT
cana-3101	188	1	an	an	DET
cana-3101	188	2	ecg	ecg	PROPN
cana-3101	188	3	signal	signal	NOUN
cana-3101	188	4	contains	contain	VERB
cana-3101	188	5	various	various	ADJ
cana-3101	188	6	fiducial	fiducial	ADJ
cana-3101	188	7	points	point	NOUN
cana-3101	188	8	,	,	PUNCT
cana-3101	188	9	which	which	PRON
cana-3101	188	10	can	can	AUX
cana-3101	188	11	segment	segment	VERB
cana-3101	188	12	a	a	DET
cana-3101	188	13	long	long	ADJ
cana-3101	188	14	signal	signal	NOUN
cana-3101	188	15	into	into	ADP
cana-3101	188	16	smaller	small	ADJ
cana-3101	188	17	sections	section	NOUN
cana-3101	188	18	.	.	PUNCT
cana-3101	189	1	to	to	PART
cana-3101	189	2	optimize	optimize	VERB
cana-3101	189	3	the	the	DET
cana-3101	189	4	network	network	NOUN
cana-3101	189	5	model	model	NOUN
cana-3101	189	6	and	and	CCONJ
cana-3101	189	7	enhance	enhance	VERB
cana-3101	189	8	its	its	PRON
cana-3101	189	9	efficiency	efficiency	NOUN
cana-3101	189	10	,	,	PUNCT
cana-3101	189	11	we	we	PRON
cana-3101	189	12	employed	employ	VERB
cana-3101	189	13	a	a	DET
cana-3101	189	14	gradient	gradient	ADJ
cana-3101	189	15	descent	descent	NOUN
cana-3101	189	16	method	method	NOUN
cana-3101	189	17	to	to	PART
cana-3101	189	18	develop	develop	VERB
cana-3101	189	19	the	the	DET
cana-3101	189	20	convolutional	convolutional	ADJ
cana-3101	189	21	neural	neural	ADJ
cana-3101	189	22	network	network	NOUN
cana-3101	189	23	architecture	architecture	NOUN
cana-3101	189	24	over	over	ADP
cana-3101	189	25	20	20	NUM
cana-3101	189	26	epochs	epoch	NOUN
cana-3101	189	27	.	.	PUNCT
cana-3101	190	1	to	to	PART
cana-3101	190	2	extract	extract	VERB
cana-3101	190	3	high	high	ADJ
cana-3101	190	4	-	-	PUNCT
cana-3101	190	5	dimensional	dimensional	ADJ
cana-3101	190	6	features	feature	NOUN
cana-3101	190	7	from	from	ADP
cana-3101	190	8	ecg	ecg	PROPN
cana-3101	190	9	signals	signal	NOUN
cana-3101	190	10	,	,	PUNCT
cana-3101	190	11	we	we	PRON
cana-3101	190	12	stored	store	VERB
cana-3101	190	13	the	the	DET
cana-3101	190	14	convolutional	convolutional	ADJ
cana-3101	190	15	layers	layer	NOUN
cana-3101	190	16	associated	associate	VERB
cana-3101	190	17	with	with	ADP
cana-3101	190	18	ecg	ecg	PROPN
cana-3101	190	19	data	datum	NOUN
cana-3101	190	20	in	in	ADP
cana-3101	190	21	the	the	DET
cana-3101	190	22	database	database	NOUN
cana-3101	190	23	and	and	CCONJ
cana-3101	190	24	subsequently	subsequently	ADV
cana-3101	190	25	modified	modify	VERB
cana-3101	190	26	the	the	DET
cana-3101	190	27	pretrained	pretraine	VERB
cana-3101	190	28	cnn	cnn	NOUN
cana-3101	190	29	architecture	architecture	NOUN
cana-3101	190	30	by	by	ADP
cana-3101	190	31	removing	remove	VERB
cana-3101	190	32	the	the	DET
cana-3101	190	33	fully	fully	ADV
cana-3101	190	34	connected	connected	ADJ
cana-3101	190	35	layers	layer	NOUN
cana-3101	190	36	.	.	PUNCT
cana-3101	191	1	upon	upon	SCONJ
cana-3101	191	2	receiving	receive	VERB
cana-3101	191	3	a	a	DET
cana-3101	191	4	new	new	ADJ
cana-3101	191	5	signup	signup	ADJ
cana-3101	191	6	request	request	NOUN
cana-3101	191	7	,	,	PUNCT
cana-3101	191	8	our	our	PRON
cana-3101	191	9	model	model	NOUN
cana-3101	191	10	correlates	correlate	VERB
cana-3101	191	11	it	it	PRON
cana-3101	191	12	with	with	ADP
cana-3101	191	13	the	the	DET
cana-3101	191	14	original	original	ADJ
cana-3101	191	15	database	database	NOUN
cana-3101	191	16	,	,	PUNCT
cana-3101	191	17	and	and	CCONJ
cana-3101	191	18	computes	compute	VERB
cana-3101	191	19	a	a	DET
cana-3101	191	20	mapping	mapping	NOUN
cana-3101	191	21	score	score	NOUN
cana-3101	191	22	using	use	VERB
cana-3101	191	23	the	the	DET
cana-3101	191	24	euclidean	euclidean	ADJ
cana-3101	191	25	distance	distance	NOUN
cana-3101	191	26	algorithm	algorithm	NOUN
cana-3101	191	27	.	.	PUNCT
cana-3101	192	1	consequently	consequently	ADV
cana-3101	192	2	,	,	PUNCT
cana-3101	192	3	we	we	PRON
cana-3101	192	4	assessed	assess	VERB
cana-3101	192	5	the	the	DET
cana-3101	192	6	accuracy	accuracy	NOUN
cana-3101	192	7	of	of	ADP
cana-3101	192	8	the	the	DET
cana-3101	192	9	architecture	architecture	NOUN
cana-3101	192	10	by	by	ADP
cana-3101	192	11	using	use	VERB
cana-3101	192	12	three	three	NUM
cana-3101	192	13	different	different	ADJ
cana-3101	192	14	threshold	threshold	NOUN
cana-3101	192	15	values	value	NOUN
cana-3101	192	16	.	.	PUNCT
cana-3101	193	1	communications	communication	NOUN
cana-3101	193	2	on	on	ADP
cana-3101	193	3	applied	apply	VERB
cana-3101	193	4	nonlinear	nonlinear	ADJ
cana-3101	193	5	analysis	analysis	NOUN
cana-3101	193	6	issn	issn	NOUN
cana-3101	193	7	:	:	PUNCT
cana-3101	193	8	1074	1074	NUM
cana-3101	193	9	-	-	PUNCT
cana-3101	193	10	133x	133x	NUM
cana-3101	193	11	vol	vol	NOUN
cana-3101	193	12	32	32	NUM
cana-3101	193	13	no	no	NOUN
cana-3101	193	14	.	.	PUNCT
cana-3101	194	1	5s	5s	NUM
cana-3101	194	2	(	(	PUNCT
cana-3101	194	3	2025	2025	NUM
cana-3101	194	4	)	)	PUNCT
cana-3101	194	5	312	312	NUM
cana-3101	194	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	195	1	the	the	DET
cana-3101	195	2	dataset	dataset	NOUN
cana-3101	195	3	is	be	AUX
cana-3101	195	4	randomly	randomly	ADV
cana-3101	195	5	partitioned	partition	VERB
cana-3101	195	6	into	into	ADP
cana-3101	195	7	invaders	invader	NOUN
cana-3101	195	8	and	and	CCONJ
cana-3101	195	9	users	user	NOUN
cana-3101	195	10	for	for	ADP
cana-3101	195	11	login	login	NOUN
cana-3101	195	12	verification	verification	NOUN
cana-3101	195	13	.	.	PUNCT
cana-3101	196	1	we	we	PRON
cana-3101	196	2	monitored	monitor	VERB
cana-3101	196	3	the	the	DET
cana-3101	196	4	similarity	similarity	NOUN
cana-3101	196	5	scores	score	NOUN
cana-3101	196	6	of	of	ADP
cana-3101	196	7	each	each	DET
cana-3101	196	8	login	login	NOUN
cana-3101	196	9	transaction	transaction	NOUN
cana-3101	196	10	.	.	PUNCT
cana-3101	197	1	subsequently	subsequently	ADV
cana-3101	197	2	,	,	PUNCT
cana-3101	197	3	a	a	DET
cana-3101	197	4	complete	complete	ADJ
cana-3101	197	5	precision	precision	NOUN
cana-3101	197	6	was	be	AUX
cana-3101	197	7	achieved	achieve	VERB
cana-3101	197	8	.	.	PUNCT
cana-3101	198	1	references	reference	NOUN
cana-3101	198	2	[	[	X
cana-3101	198	3	1	1	NUM
cana-3101	198	4	]	]	X
cana-3101	198	5	millett	millett	PROPN
cana-3101	198	6	,	,	PUNCT
cana-3101	198	7	l.i	l.i	PROPN
cana-3101	198	8	.	.	PROPN
cana-3101	198	9	and	and	CCONJ
cana-3101	198	10	pato	pato	PROPN
cana-3101	198	11	,	,	PUNCT
cana-3101	198	12	j.n	j.n	PROPN
cana-3101	198	13	.	.	PROPN
cana-3101	198	14	,	,	PUNCT
cana-3101	198	15	2010	2010	NUM
cana-3101	198	16	.	.	PUNCT
cana-3101	199	1	biometric	biometric	ADJ
cana-3101	199	2	recognition	recognition	NOUN
cana-3101	199	3	:	:	PUNCT
cana-3101	199	4	challenges	challenge	NOUN
cana-3101	199	5	and	and	CCONJ
cana-3101	199	6	opportunities	opportunity	NOUN
cana-3101	199	7	.	.	PUNCT
cana-3101	200	1	national	national	PROPN
cana-3101	200	2	academies	academies	PROPN
cana-3101	200	3	press	press	PROPN
cana-3101	200	4	.	.	PUNCT
cana-3101	201	1	[	[	X
cana-3101	201	2	2	2	X
cana-3101	201	3	]	]	X
cana-3101	201	4	mc	mc	PROPN
cana-3101	201	5	namara	namara	PROPN
cana-3101	201	6	,	,	PUNCT
cana-3101	201	7	k.	k.	PROPN
cana-3101	201	8	,	,	PUNCT
cana-3101	201	9	alzubaidi	alzubaidi	PROPN
cana-3101	201	10	,	,	PUNCT
cana-3101	201	11	h.	h.	PROPN
cana-3101	201	12	,	,	PUNCT
cana-3101	201	13	and	and	CCONJ
cana-3101	201	14	jackson	jackson	PROPN
cana-3101	201	15	,	,	PUNCT
cana-3101	201	16	j.	j.	PROPN
cana-3101	201	17	k.	k.	PROPN
cana-3101	201	18	(	(	PUNCT
cana-3101	201	19	2019	2019	NUM
cana-3101	201	20	)	)	PUNCT
cana-3101	201	21	.	.	PUNCT
cana-3101	202	1	cardiovascular	cardiovascular	ADJ
cana-3101	202	2	disease	disease	NOUN
cana-3101	202	3	as	as	ADP
cana-3101	202	4	a	a	DET
cana-3101	202	5	leading	lead	VERB
cana-3101	202	6	cause	cause	NOUN
cana-3101	202	7	of	of	ADP
cana-3101	202	8	death	death	NOUN
cana-3101	202	9	:	:	PUNCT
cana-3101	202	10	how	how	SCONJ
cana-3101	202	11	are	be	AUX
cana-3101	202	12	pharmacists	pharmacist	NOUN
cana-3101	202	13	getting	getting	AUX
cana-3101	202	14	involved	involve	VERB
cana-3101	202	15	?	?	PUNCT
cana-3101	203	1	integr	integr	NOUN
cana-3101	203	2	.	.	PUNCT
cana-3101	204	1	pharm	pharm	PROPN
cana-3101	204	2	.	.	PUNCT
cana-3101	205	1	res	re	NOUN
cana-3101	205	2	.	.	PROPN
cana-3101	206	1	pract	pract	PROPN
cana-3101	206	2	.	.	PUNCT
cana-3101	207	1	8:1	8:1	NUM
cana-3101	207	2	.	.	PUNCT
cana-3101	208	1	doi	doi	NOUN
cana-3101	208	2	:	:	PUNCT
cana-3101	208	3	10.2147	10.2147	NUM
cana-3101	208	4	/	/	SYM
cana-3101	208	5	iprp.s133088	iprp.s133088	NOUN
cana-3101	209	1	[	[	X
cana-3101	209	2	3	3	NUM
cana-3101	209	3	]	]	X
cana-3101	209	4	guo	guo	X
cana-3101	209	5	,	,	PUNCT
cana-3101	209	6	s.-l	s.-l	NOUN
cana-3101	209	7	.	.	PUNCT
cana-3101	209	8	,	,	PUNCT
cana-3101	209	9	han	han	PROPN
cana-3101	209	10	,	,	PUNCT
cana-3101	209	11	l.-n	l.-n	PROPN
cana-3101	209	12	.	.	PUNCT
cana-3101	209	13	,	,	PUNCT
cana-3101	209	14	liu	liu	PROPN
cana-3101	209	15	,	,	PUNCT
cana-3101	209	16	h.-w	h.-w	PROPN
cana-3101	209	17	.	.	PROPN
cana-3101	209	18	,	,	PUNCT
cana-3101	209	19	si	si	PROPN
cana-3101	209	20	,	,	PUNCT
cana-3101	209	21	q.-j	q.-j	PROPN
cana-3101	209	22	.	.	PROPN
cana-3101	209	23	,	,	PUNCT
cana-3101	209	24	kong	kong	PROPN
cana-3101	209	25	,	,	PUNCT
cana-3101	209	26	d.-f	d.-f	PROPN
cana-3101	209	27	.	.	PUNCT
cana-3101	209	28	,	,	PUNCT
cana-3101	209	29	and	and	CCONJ
cana-3101	209	30	guo	guo	PROPN
cana-3101	209	31	,	,	PUNCT
cana-3101	209	32	f.-s	f.-s	PROPN
cana-3101	209	33	.	.	PUNCT
cana-3101	210	1	(	(	PUNCT
cana-3101	210	2	2016	2016	NUM
cana-3101	210	3	)	)	PUNCT
cana-3101	210	4	.	.	PUNCT
cana-3101	211	1	the	the	DET
cana-3101	211	2	future	future	NOUN
cana-3101	211	3	of	of	ADP
cana-3101	211	4	remote	remote	ADJ
cana-3101	211	5	ecg	ecg	PROPN
cana-3101	211	6	monitoring	monitoring	NOUN
cana-3101	211	7	systems	system	NOUN
cana-3101	211	8	.	.	PUNCT
cana-3101	212	1	j	j	PROPN
cana-3101	212	2	geriat	geriat	PROPN
cana-3101	212	3	.	.	PUNCT
cana-3101	213	1	cardiol	cardiol	NOUN
cana-3101	213	2	.	.	PUNCT
cana-3101	214	1	13	13	NUM
cana-3101	214	2	,	,	PUNCT
cana-3101	214	3	528	528	NUM
cana-3101	214	4	.	.	PUNCT
cana-3101	215	1	doi	doi	NOUN
cana-3101	215	2	:	:	PUNCT
cana-3101	215	3	10.11909	10.11909	NUM
cana-3101	215	4	/	/	SYM
cana-3101	215	5	j.issn.1671	j.issn.1671	NOUN
cana-3101	215	6	-	-	PUNCT
cana-3101	215	7	5411.2016.06.015	5411.2016.06.015	PROPN
cana-3101	215	8	[	[	X
cana-3101	215	9	4	4	NUM
cana-3101	215	10	]	]	X
cana-3101	215	11	yin	yin	PROPN
cana-3101	215	12	,	,	PUNCT
cana-3101	215	13	w.	w.	PROPN
cana-3101	215	14	,	,	PUNCT
cana-3101	215	15	yang	yang	PROPN
cana-3101	215	16	,	,	PUNCT
cana-3101	215	17	x.	x.	PROPN
cana-3101	215	18	,	,	PUNCT
cana-3101	215	19	zhang	zhang	PROPN
cana-3101	215	20	,	,	PUNCT
cana-3101	215	21	l.	l.	PROPN
cana-3101	215	22	,	,	PUNCT
cana-3101	215	23	and	and	CCONJ
cana-3101	215	24	oki	oki	NOUN
cana-3101	215	25	,	,	PUNCT
cana-3101	215	26	e.	e.	PROPN
cana-3101	215	27	(	(	PUNCT
cana-3101	215	28	2016	2016	NUM
cana-3101	215	29	)	)	PUNCT
cana-3101	215	30	.	.	PUNCT
cana-3101	216	1	ecg	ecg	PROPN
cana-3101	216	2	monitoring	monitoring	NOUN
cana-3101	216	3	system	system	NOUN
cana-3101	216	4	integrated	integrate	VERB
cana-3101	216	5	with	with	ADP
cana-3101	216	6	ir	ir	ADJ
cana-3101	216	7	-	-	ADJ
cana-3101	216	8	uwb	uwb	ADJ
cana-3101	216	9	radar	radar	NOUN
cana-3101	216	10	based	base	VERB
cana-3101	216	11	on	on	ADP
cana-3101	216	12	cnn	cnn	PROPN
cana-3101	216	13	.	.	PUNCT
cana-3101	217	1	ieee	ieee	PROPN
cana-3101	217	2	access	access	NOUN
cana-3101	217	3	4	4	NUM
cana-3101	217	4	,	,	PUNCT
cana-3101	217	5	6344–6351	6344–6351	NOUN
cana-3101	217	6	.	.	PUNCT
cana-3101	218	1	doi	doi	NOUN
cana-3101	218	2	:	:	PUNCT
cana-3101	218	3	10.1109	10.1109	NUM
cana-3101	218	4	/	/	SYM
cana-3101	218	5	access.2016.2608777	access.2016.2608777	NOUN
cana-3101	219	1	[	[	X
cana-3101	219	2	5	5	NUM
cana-3101	219	3	]	]	X
cana-3101	219	4	pławiak	pławiak	NOUN
cana-3101	219	5	,	,	PUNCT
cana-3101	219	6	p.	p.	NOUN
cana-3101	219	7	,	,	PUNCT
cana-3101	219	8	and	and	CCONJ
cana-3101	219	9	acharya	acharya	PROPN
cana-3101	219	10	,	,	PUNCT
cana-3101	219	11	u.	u.	PROPN
cana-3101	219	12	r.	r.	PROPN
cana-3101	219	13	(	(	PUNCT
cana-3101	219	14	2020	2020	NUM
cana-3101	219	15	)	)	PUNCT
cana-3101	219	16	.	.	PUNCT
cana-3101	220	1	novel	novel	ADJ
cana-3101	220	2	deep	deep	ADJ
cana-3101	220	3	genetic	genetic	ADJ
cana-3101	220	4	ensemble	ensemble	NOUN
cana-3101	220	5	of	of	ADP
cana-3101	220	6	classifiers	classifier	NOUN
cana-3101	220	7	for	for	ADP
cana-3101	220	8	arrhythmia	arrhythmia	NOUN
cana-3101	220	9	detection	detection	NOUN
cana-3101	220	10	using	use	VERB
cana-3101	220	11	ecg	ecg	PROPN
cana-3101	220	12	signals	signal	NOUN
cana-3101	220	13	.	.	PUNCT
cana-3101	221	1	neural	neural	ADJ
cana-3101	221	2	comp	comp	PROPN
cana-3101	221	3	.	.	PUNCT
cana-3101	222	1	applic	applic	PROPN
cana-3101	222	2	.	.	PUNCT
cana-3101	223	1	32	32	NUM
cana-3101	223	2	,	,	PUNCT
cana-3101	223	3	11137–11161	11137–11161	NUM
cana-3101	223	4	.	.	PUNCT
cana-3101	224	1	doi	doi	NOUN
cana-3101	224	2	:	:	PUNCT
cana-3101	224	3	10.1007	10.1007	NUM
cana-3101	224	4	/	/	SYM
cana-3101	224	5	s00521	s00521	NOUN
cana-3101	224	6	-	-	PUNCT
cana-3101	224	7	018	018	NUM
cana-3101	224	8	-	-	PUNCT
cana-3101	224	9	03980	03980	NUM
cana-3101	224	10	[	[	X
cana-3101	225	1	6	6	NUM
cana-3101	225	2	]	]	PUNCT
cana-3101	225	3	k.	k.	PROPN
cana-3101	225	4	haricha	haricha	PROPN
cana-3101	225	5	,	,	PUNCT
cana-3101	225	6	a.	a.	NOUN
cana-3101	225	7	khiat	khiat	PROPN
cana-3101	225	8	,	,	PUNCT
cana-3101	225	9	y.	y.	PROPN
cana-3101	225	10	issaoui	issaoui	PROPN
cana-3101	225	11	,	,	PUNCT
cana-3101	225	12	a.	a.	NOUN
cana-3101	225	13	bahnasse	bahnasse	PROPN
cana-3101	225	14	,	,	PUNCT
cana-3101	225	15	and	and	CCONJ
cana-3101	225	16	h.	h.	PROPN
cana-3101	225	17	ouajji,“towards	ouajji,“towards	PROPN
cana-3101	225	18	smart	smart	ADJ
cana-3101	225	19	manufacturing	manufacturing	NOUN
cana-3101	225	20	:	:	PUNCT
cana-3101	225	21	implementation	implementation	NOUN
cana-3101	225	22	and	and	CCONJ
cana-3101	225	23	benefits,”procedia	benefits,”procedia	NOUN
cana-3101	225	24	computer	computer	NOUN
cana-3101	225	25	science	science	NOUN
cana-3101	225	26	,	,	PUNCT
cana-3101	225	27	vol	vol	NOUN
cana-3101	225	28	.	.	PROPN
cana-3101	225	29	177	177	NUM
cana-3101	225	30	,	,	PUNCT
cana-3101	225	31	pp	pp	ADJ
cana-3101	225	32	.	.	PUNCT
cana-3101	226	1	639–644	639–644	NUM
cana-3101	226	2	,	,	PUNCT
cana-3101	226	3	2020	2020	NUM
cana-3101	226	4	.	.	PUNCT
cana-3101	227	1	[	[	X
cana-3101	227	2	7	7	X
cana-3101	227	3	]	]	X
cana-3101	227	4	p.	p.	NOUN
cana-3101	227	5	singh	singh	PROPN
cana-3101	227	6	,	,	PUNCT
cana-3101	227	7	m.	m.	NOUN
cana-3101	227	8	a.	a.	NOUN
cana-3101	227	9	dulebenets	dulebenets	PROPN
cana-3101	227	10	,	,	PUNCT
cana-3101	227	11	j.	j.	PROPN
cana-3101	227	12	pasha	pasha	PROPN
cana-3101	227	13	,	,	PUNCT
cana-3101	227	14	e.	e.	PROPN
cana-3101	227	15	d.	d.	PROPN
cana-3101	227	16	r.	r.	PROPN
cana-3101	227	17	s.	s.	PROPN
cana-3101	227	18	gonzalez	gonzalez	PROPN
cana-3101	227	19	,	,	PUNCT
cana-3101	227	20	y.	y.	PROPN
cana-3101	227	21	y.	y.	PROPN
cana-3101	227	22	lau	lau	PROPN
cana-3101	227	23	,	,	PUNCT
cana-3101	227	24	and	and	CCONJ
cana-3101	227	25	r.	r.	PROPN
cana-3101	227	26	kampmann	kampmann	PROPN
cana-3101	227	27	,	,	PUNCT
cana-3101	227	28	“	"	PUNCT
cana-3101	227	29	deployment	deployment	NOUN
cana-3101	227	30	of	of	ADP
cana-3101	227	31	s	s	PRON
cana-3101	227	32	and	and	CCONJ
cana-3101	227	33	existingchallenges	existingchallenge	NOUN
cana-3101	227	34	,	,	PUNCT
cana-3101	227	35	”	"	PUNCT
cana-3101	227	36	ieee	ieee	NOUN
cana-3101	227	37	access	access	NOUN
cana-3101	227	38	,	,	PUNCT
cana-3101	227	39	vol	vol	NOUN
cana-3101	227	40	.	.	NOUN
cana-3101	227	41	9	9	NUM
cana-3101	227	42	,	,	PUNCT
cana-3101	227	43	article	article	NOUN
cana-3101	227	44	i	i	PROPN
cana-3101	227	45	d	d	PROPN
cana-3101	227	46	91461	91461	NUM
cana-3101	227	47	,	,	PUNCT
cana-3101	227	48	2021	2021	NUM
cana-3101	227	49	.	.	PUNCT
cana-3101	228	1	[	[	X
cana-3101	228	2	8	8	NUM
cana-3101	228	3	]	]	PUNCT
cana-3101	228	4	k.	k.	PROPN
cana-3101	228	5	niranjan	niranjan	PROPN
cana-3101	228	6	,	,	PUNCT
cana-3101	228	7	k.	k.	PROPN
cana-3101	228	8	s.	s.	PROPN
cana-3101	228	9	narayana	narayana	PROPN
cana-3101	228	10	,	,	PUNCT
cana-3101	228	11	and	and	CCONJ
cana-3101	228	12	m.	m.	NOUN
cana-3101	228	13	v.	v.	ADP
cana-3101	228	14	a.	a.	PROPN
cana-3101	228	15	l.	l.	PROPN
cana-3101	228	16	n.	n.	PROPN
cana-3101	228	17	rao	rao	PROPN
cana-3101	228	18	,	,	PUNCT
cana-3101	228	19	“	"	PUNCT
cana-3101	228	20	role	role	NOUN
cana-3101	228	21	ofartificial	ofartificial	ADJ
cana-3101	228	22	intelligence	intelligence	NOUN
cana-3101	228	23	in	in	ADP
cana-3101	228	24	logistics	logistic	NOUN
cana-3101	228	25	and	and	CCONJ
cana-3101	228	26	supply	supply	NOUN
cana-3101	228	27	chain	chain	NOUN
cana-3101	228	28	,	,	PUNCT
cana-3101	228	29	”	"	PUNCT
cana-3101	228	30	in	in	ADP
cana-3101	228	31	proceedingsof	proceedingsof	NOUN
cana-3101	228	32	the	the	DET
cana-3101	228	33	2021	2021	NUM
cana-3101	228	34	int	int	NOUN
cana-3101	228	35	.	.	PUNCT
cana-3101	229	1	conf	conf	NOUN
cana-3101	229	2	.	.	PUNCT
cana-3101	230	1	comput	comput	NOUN
cana-3101	230	2	.	.	PUNCT
cana-3101	231	1	commun	commun	PROPN
cana-3101	231	2	.	.	PUNCT
cana-3101	232	1	informatics	informatics	PROPN
cana-3101	232	2	,	,	PUNCT
cana-3101	232	3	iccci	iccci	NOUN
cana-3101	232	4	,	,	PUNCT
cana-3101	232	5	vol	vol	NOUN
cana-3101	232	6	.	.	PROPN
cana-3101	232	7	2021	2021	NUM
cana-3101	232	8	,	,	PUNCT
cana-3101	232	9	pp	pp	ADJ
cana-3101	232	10	.	.	PUNCT
cana-3101	233	1	27–29	27–29	NUM
cana-3101	233	2	,	,	PUNCT
cana-3101	233	3	coimbatore	coimbatore	PROPN
cana-3101	233	4	,	,	PUNCT
cana-3101	233	5	india	india	PROPN
cana-3101	233	6	,	,	PUNCT
cana-3101	233	7	jan	jan	PROPN
cana-3101	233	8	2021	2021	NUM
cana-3101	233	9	.	.	PUNCT
cana-3101	234	1	[	[	X
cana-3101	234	2	9	9	NUM
cana-3101	234	3	]	]	PUNCT
cana-3101	234	4	s.	s.	PROPN
cana-3101	234	5	vyas	vyas	PROPN
cana-3101	234	6	and	and	CCONJ
cana-3101	234	7	d.	d.	PROPN
cana-3101	234	8	bhargava	bhargava	PROPN
cana-3101	234	9	,	,	PUNCT
cana-3101	234	10	“	"	PUNCT
cana-3101	234	11	big	big	ADJ
cana-3101	234	12	data	datum	NOUN
cana-3101	234	13	analytics	analytic	NOUN
cana-3101	234	14	and	and	CCONJ
cana-3101	234	15	cognitivecomputing	cognitivecompute	VERB
cana-3101	234	16	in	in	ADP
cana-3101	234	17	smart	smart	ADJ
cana-3101	234	18	health	health	NOUN
cana-3101	234	19	systems	system	NOUN
cana-3101	234	20	,	,	PUNCT
cana-3101	234	21	”	"	PUNCT
cana-3101	234	22	in	in	ADP
cana-3101	234	23	smart	smart	ADJ
cana-3101	234	24	health	health	NOUN
cana-3101	234	25	systems	system	NOUN
cana-3101	234	26	,	,	PUNCT
cana-3101	234	27	pp	pp	ADP
cana-3101	234	28	.	.	PUNCT
cana-3101	235	1	87–100	87–100	NUM
cana-3101	235	2	,	,	PUNCT
cana-3101	235	3	springer	springer	NOUN
cana-3101	235	4	,	,	PUNCT
cana-3101	235	5	singapore	singapore	PROPN
cana-3101	235	6	,	,	PUNCT
cana-3101	235	7	2021	2021	NUM
cana-3101	235	8	.	.	PUNCT
cana-3101	236	1	[	[	X
cana-3101	236	2	10	10	NUM
cana-3101	236	3	]	]	PUNCT
cana-3101	236	4	x.	x.	PROPN
cana-3101	236	5	huang	huang	PROPN
cana-3101	236	6	,	,	PUNCT
cana-3101	236	7	v.	v.	PROPN
cana-3101	236	8	jagota	jagota	PROPN
cana-3101	236	9	,	,	PUNCT
cana-3101	236	10	e.	e.	PROPN
cana-3101	236	11	espinoza	espinoza	PROPN
cana-3101	236	12	-	-	PUNCT
cana-3101	236	13	muñoz	muñoz	PROPN
cana-3101	236	14	,	,	PUNCT
cana-3101	236	15	and	and	CCONJ
cana-3101	236	16	j.	j.	PROPN
cana-3101	236	17	flores	flores	PROPN
cana-3101	236	18	-	-	PUNCT
cana-3101	236	19	albornoz	albornoz	PROPN
cana-3101	236	20	,	,	PUNCT
cana-3101	236	21	“	"	PUNCT
cana-3101	236	22	tourist	tourist	NOUN
cana-3101	236	23	hot	hot	ADJ
cana-3101	236	24	spots	spot	NOUN
cana-3101	236	25	prediction	prediction	NOUN
cana-3101	236	26	model	model	NOUN
cana-3101	236	27	based	base	VERB
cana-3101	236	28	onoptimized	onoptimize	VERB
cana-3101	236	29	neural	neural	ADJ
cana-3101	236	30	network	network	NOUN
cana-3101	236	31	algorithm	algorithm	NOUN
cana-3101	236	32	,	,	PUNCT
cana-3101	236	33	”	"	PUNCT
cana-3101	236	34	international	international	ADJ
cana-3101	236	35	journal	journal	PROPN
cana-3101	236	36	ofsystem	ofsystem	PROPN
cana-3101	236	37	assurance	assurance	PROPN
cana-3101	236	38	engineering	engineering	NOUN
cana-3101	236	39	and	and	CCONJ
cana-3101	236	40	management	management	NOUN
cana-3101	236	41	,	,	PUNCT
cana-3101	236	42	2021	2021	NUM
cana-3101	236	43	.	.	PUNCT
cana-3101	237	1	[	[	X
cana-3101	237	2	11	11	NUM
cana-3101	237	3	]	]	SYM
cana-3101	237	4	hannun	hannun	NOUN
cana-3101	237	5	,	,	PUNCT
cana-3101	237	6	a.	a.	PROPN
cana-3101	237	7	y.	y.	PROPN
cana-3101	237	8	et	et	PROPN
cana-3101	238	1	al	al	PROPN
cana-3101	238	2	.	.	PUNCT
cana-3101	238	3	cardiologist	cardiologist	ADJ
cana-3101	238	4	-	-	PUNCT
cana-3101	238	5	level	level	NOUN
cana-3101	238	6	arrhythmia	arrhythmia	NOUN
cana-3101	238	7	detection	detection	NOUN
cana-3101	238	8	and	and	CCONJ
cana-3101	238	9	classificationin	classificationin	VERB
cana-3101	238	10	ambulatory	ambulatory	ADJ
cana-3101	238	11	electrocardiograms	electrocardiogram	NOUN
cana-3101	238	12	using	use	VERB
cana-3101	238	13	a	a	DET
cana-3101	238	14	deep	deep	ADJ
cana-3101	238	15	neural	neural	ADJ
cana-3101	238	16	network	network	NOUN
cana-3101	238	17	.	.	PUNCT
cana-3101	239	1	nat	nat	PROPN
cana-3101	239	2	.	.	PUNCT
cana-3101	239	3	med	med	PROPN
cana-3101	239	4	.	.	PUNCT
cana-3101	240	1	25,65–69	25,65–69	NUM
cana-3101	240	2	(	(	PUNCT
cana-3101	240	3	2019	2019	NUM
cana-3101	240	4	)	)	PUNCT
cana-3101	240	5	.	.	PUNCT
cana-3101	241	1	[	[	X
cana-3101	241	2	12	12	NUM
cana-3101	241	3	]	]	PUNCT
cana-3101	241	4	mant	mant	X
cana-3101	241	5	,	,	PUNCT
cana-3101	241	6	j.	j.	PROPN
cana-3101	241	7	et	et	PROPN
cana-3101	241	8	al	al	PROPN
cana-3101	241	9	.	.	PROPN
cana-3101	241	10	accuracy	accuracy	NOUN
cana-3101	241	11	of	of	ADP
cana-3101	241	12	diagnosing	diagnose	VERB
cana-3101	241	13	atrial	atrial	ADJ
cana-3101	241	14	fibrillation	fibrillation	NOUN
cana-3101	241	15	on	on	ADP
cana-3101	241	16	electrocardiogram	electrocardiogram	NOUN
cana-3101	241	17	by	by	ADP
cana-3101	241	18	primary	primary	ADJ
cana-3101	241	19	care	care	NOUN
cana-3101	241	20	practitioners	practitioner	NOUN
cana-3101	241	21	and	and	CCONJ
cana-3101	241	22	interpretative	interpretative	ADJ
cana-3101	241	23	diagnostic	diagnostic	ADJ
cana-3101	241	24	software	software	NOUN
cana-3101	241	25	:	:	PUNCT
cana-3101	241	26	analysis	analysis	NOUN
cana-3101	241	27	of	of	ADP
cana-3101	241	28	data	datum	NOUN
cana-3101	241	29	from	from	ADP
cana-3101	241	30	screening	screen	VERB
cana-3101	241	31	for	for	ADP
cana-3101	241	32	atrial	atrial	ADJ
cana-3101	241	33	fibrillation	fibrillation	NOUN
cana-3101	241	34	in	in	ADP
cana-3101	241	35	the	the	DET
cana-3101	241	36	elderly	elderly	ADJ
cana-3101	241	37	(	(	PUNCT
cana-3101	241	38	safe	safe	ADJ
cana-3101	241	39	)	)	PUNCT
cana-3101	241	40	trial	trial	NOUN
cana-3101	241	41	.	.	PUNCT
cana-3101	242	1	bmj	bmj	PROPN
cana-3101	242	2	(	(	PUNCT
cana-3101	242	3	clin	clin	PROPN
cana-3101	242	4	.	.	PUNCT
cana-3101	243	1	res	re	NOUN
cana-3101	243	2	.	.	PUNCT
cana-3101	244	1	ed	ed	NOUN
cana-3101	244	2	.	.	PUNCT
cana-3101	244	3	)	)	PUNCT
cana-3101	244	4	335	335	NUM
cana-3101	244	5	,	,	PUNCT
cana-3101	244	6	380	380	NUM
cana-3101	244	7	(	(	PUNCT
cana-3101	244	8	2007	2007	NUM
cana-3101	244	9	)	)	PUNCT
cana-3101	244	10	.	.	PUNCT
cana-3101	245	1	[	[	X
cana-3101	245	2	13	13	NUM
cana-3101	245	3	]	]	SYM
cana-3101	245	4	veronese	veronese	NOUN
cana-3101	245	5	,	,	PUNCT
cana-3101	246	1	g.	g.	PROPN
cana-3101	246	2	et	et	PROPN
cana-3101	246	3	al	al	PROPN
cana-3101	246	4	.	.	PUNCT
cana-3101	247	1	emergency	emergency	PROPN
cana-3101	247	2	physician	physician	NOUN
cana-3101	247	3	accuracy	accuracy	NOUN
cana-3101	247	4	in	in	ADP
cana-3101	247	5	interpreting	interpret	VERB
cana-3101	247	6	electrocardiograms	electrocardiogram	NOUN
cana-3101	247	7	with	with	ADP
cana-3101	247	8	potential	potential	ADJ
cana-3101	247	9	st	st	ADJ
cana-3101	247	10	-	-	PUNCT
cana-3101	247	11	segment	segment	NOUN
cana-3101	247	12	elevation	elevation	NOUN
cana-3101	247	13	myocardial	myocardial	ADJ
cana-3101	247	14	infarction	infarction	NOUN
cana-3101	247	15	:	:	PUNCT
cana-3101	247	16	is	be	AUX
cana-3101	247	17	it	it	PRON
cana-3101	247	18	enough	enough	ADV
cana-3101	247	19	?	?	PUNCT
cana-3101	248	1	acute	acute	ADJ
cana-3101	248	2	card	card	NOUN
cana-3101	248	3	.	.	PUNCT
cana-3101	249	1	care	care	NOUN
cana-3101	249	2	18	18	NUM
cana-3101	249	3	,	,	PUNCT
cana-3101	249	4	7–10	7–10	PROPN
cana-3101	249	5	(	(	PUNCT
cana-3101	249	6	2016	2016	NUM
cana-3101	249	7	)	)	PUNCT
cana-3101	249	8	.	.	PUNCT
cana-3101	250	1	[	[	X
cana-3101	250	2	14	14	NUM
cana-3101	250	3	]	]	X
cana-3101	250	4	pławiak	pławiak	NOUN
cana-3101	250	5	,	,	PUNCT
cana-3101	250	6	p.	p.	NOUN
cana-3101	250	7	,	,	PUNCT
cana-3101	250	8	and	and	CCONJ
cana-3101	250	9	acharya	acharya	PROPN
cana-3101	250	10	,	,	PUNCT
cana-3101	250	11	u.	u.	PROPN
cana-3101	250	12	r.	r.	PROPN
cana-3101	250	13	(	(	PUNCT
cana-3101	250	14	2020	2020	NUM
cana-3101	250	15	)	)	PUNCT
cana-3101	250	16	.	.	PUNCT
cana-3101	251	1	novel	novel	ADJ
cana-3101	251	2	deep	deep	ADJ
cana-3101	251	3	genetic	genetic	ADJ
cana-3101	251	4	ensemble	ensemble	NOUN
cana-3101	251	5	of	of	ADP
cana-3101	251	6	classifiers	classifier	NOUN
cana-3101	251	7	for	for	ADP
cana-3101	251	8	arrhythmia	arrhythmia	NOUN
cana-3101	251	9	detection	detection	NOUN
cana-3101	251	10	using	use	VERB
cana-3101	251	11	ecg	ecg	PROPN
cana-3101	251	12	signals	signal	NOUN
cana-3101	251	13	.	.	PUNCT
cana-3101	252	1	neural	neural	ADJ
cana-3101	252	2	comp	comp	PROPN
cana-3101	252	3	.	.	PUNCT
cana-3101	253	1	applic	applic	PROPN
cana-3101	253	2	.	.	PUNCT
cana-3101	254	1	32	32	NUM
cana-3101	254	2	,	,	PUNCT
cana-3101	254	3	11137–11161	11137–11161	NUM
cana-3101	254	4	.	.	PUNCT
cana-3101	255	1	doi	doi	NOUN
cana-3101	255	2	:	:	PUNCT
cana-3101	255	3	10.1007	10.1007	NUM
cana-3101	255	4	/	/	SYM
cana-3101	255	5	s00521	s00521	NOUN
cana-3101	255	6	-	-	PUNCT
cana-3101	255	7	018	018	NUM
cana-3101	255	8	-	-	PUNCT
cana-3101	255	9	039802	039802	NUM
cana-3101	256	1	[	[	X
cana-3101	256	2	15	15	NUM
cana-3101	256	3	]	]	X
cana-3101	256	4	gao	gao	PROPN
cana-3101	256	5	,	,	PUNCT
cana-3101	256	6	j.	j.	PROPN
cana-3101	256	7	,	,	PUNCT
cana-3101	256	8	zhang	zhang	PROPN
cana-3101	256	9	,	,	PUNCT
cana-3101	256	10	h.	h.	PROPN
cana-3101	256	11	,	,	PUNCT
cana-3101	256	12	lu	lu	PROPN
cana-3101	256	13	,	,	PUNCT
cana-3101	256	14	p.	p.	NOUN
cana-3101	256	15	,	,	PUNCT
cana-3101	256	16	and	and	CCONJ
cana-3101	256	17	wang	wang	PROPN
cana-3101	256	18	,	,	PUNCT
cana-3101	256	19	z.	z.	PROPN
cana-3101	256	20	(	(	PUNCT
cana-3101	256	21	2019	2019	NUM
cana-3101	256	22	)	)	PUNCT
cana-3101	256	23	.	.	PUNCT
cana-3101	257	1	an	an	DET
cana-3101	257	2	effective	effective	ADJ
cana-3101	257	3	lstm	lstm	ADJ
cana-3101	257	4	recurrent	recurrent	ADJ
cana-3101	257	5	network	network	NOUN
cana-3101	257	6	to	to	PART
cana-3101	257	7	detect	detect	VERB
cana-3101	257	8	arrhythmia	arrhythmia	NOUN
cana-3101	257	9	on	on	ADP
cana-3101	257	10	imbalanced	imbalanced	ADJ
cana-3101	257	11	ecg	ecg	PROPN
cana-3101	257	12	dataset	dataset	NOUN
cana-3101	257	13	.	.	PUNCT
cana-3101	258	1	j.	j.	PROPN
cana-3101	258	2	healthcare	healthcare	PROPN
cana-3101	258	3	engin	engin	PROPN
cana-3101	258	4	.	.	PUNCT
cana-3101	259	1	2019:6320651	2019:6320651	X
cana-3101	259	2	.	.	X
cana-3101	260	1	doi	doi	NOUN
cana-3101	260	2	:	:	PUNCT
cana-3101	260	3	10.1155/2019/6320651	10.1155/2019/6320651	NUM
cana-3101	260	4	[	[	X
cana-3101	260	5	16	16	NUM
cana-3101	260	6	]	]	X
cana-3101	260	7	atal	atal	PROPN
cana-3101	260	8	,	,	PUNCT
cana-3101	260	9	d.	d.	PROPN
cana-3101	260	10	k.	k.	PROPN
cana-3101	260	11	,	,	PUNCT
cana-3101	260	12	and	and	CCONJ
cana-3101	260	13	singh	singh	NOUN
cana-3101	260	14	,	,	PUNCT
cana-3101	260	15	m.	m.	NOUN
cana-3101	260	16	(	(	PUNCT
cana-3101	260	17	2020	2020	NUM
cana-3101	260	18	)	)	PUNCT
cana-3101	260	19	.	.	PUNCT
cana-3101	261	1	arrhythmia	arrhythmia	VERB
cana-3101	261	2	classification	classification	NOUN
cana-3101	261	3	with	with	ADP
cana-3101	261	4	ecg	ecg	PROPN
cana-3101	261	5	signals	signal	NOUN
cana-3101	261	6	based	base	VERB
cana-3101	261	7	on	on	ADP
cana-3101	261	8	the	the	DET
cana-3101	261	9	optimizationenabled	optimizationenabled	ADJ
cana-3101	261	10	deep	deep	ADJ
cana-3101	261	11	convolutional	convolutional	ADJ
cana-3101	261	12	neural	neural	ADJ
cana-3101	261	13	network	network	NOUN
cana-3101	261	14	.	.	PUNCT
cana-3101	262	1	comp	comp	PROPN
cana-3101	262	2	.	.	PUNCT
cana-3101	263	1	methods	method	NOUN
cana-3101	263	2	prog	prog	PROPN
cana-3101	263	3	.	.	PUNCT
cana-3101	263	4	biomed	biome	VERB
cana-3101	263	5	.	.	PUNCT
cana-3101	264	1	196:105607	196:105607	NUM
cana-3101	264	2	.	.	PUNCT
cana-3101	264	3	doi	doi	PROPN
cana-3101	264	4	:	:	PUNCT
cana-3101	264	5	10.1016	10.1016	NUM
cana-3101	264	6	/	/	SYM
cana-3101	264	7	j.cmpb.2020.105607	j.cmpb.2020.105607	VERB
cana-3101	265	1	[	[	X
cana-3101	265	2	17	17	NUM
cana-3101	265	3	]	]	PUNCT
cana-3101	265	4	acharya	acharya	NOUN
cana-3101	265	5	,	,	PUNCT
cana-3101	265	6	u.	u.	PROPN
cana-3101	265	7	r.	r.	PROPN
cana-3101	265	8	,	,	PUNCT
cana-3101	265	9	fujita	fujita	PROPN
cana-3101	265	10	,	,	PUNCT
cana-3101	265	11	h.	h.	PROPN
cana-3101	265	12	,	,	PUNCT
cana-3101	265	13	oh	oh	INTJ
cana-3101	265	14	,	,	PUNCT
cana-3101	265	15	s.	s.	PROPN
cana-3101	265	16	l.	l.	PROPN
cana-3101	265	17	,	,	PUNCT
cana-3101	265	18	hagiwara	hagiwara	PROPN
cana-3101	265	19	,	,	PUNCT
cana-3101	265	20	y.	y.	PROPN
cana-3101	265	21	,	,	PUNCT
cana-3101	265	22	tan	tan	PROPN
cana-3101	265	23	,	,	PUNCT
cana-3101	265	24	j.	j.	PROPN
cana-3101	265	25	h.	h.	PROPN
cana-3101	265	26	,	,	PUNCT
cana-3101	265	27	and	and	CCONJ
cana-3101	265	28	adam	adam	PROPN
cana-3101	265	29	,	,	PUNCT
cana-3101	265	30	m.	m.	NOUN
cana-3101	265	31	(	(	PUNCT
cana-3101	265	32	2017a	2017a	NUM
cana-3101	265	33	)	)	PUNCT
cana-3101	265	34	.	.	PUNCT
cana-3101	266	1	application	application	NOUN
cana-3101	266	2	of	of	ADP
cana-3101	266	3	deep	deep	ADJ
cana-3101	266	4	convolutional	convolutional	ADJ
cana-3101	266	5	neural	neural	ADJ
cana-3101	266	6	network	network	NOUN
cana-3101	266	7	for	for	ADP
cana-3101	266	8	automated	automate	VERB
cana-3101	266	9	detection	detection	NOUN
cana-3101	266	10	of	of	ADP
cana-3101	266	11	myocardial	myocardial	ADJ
cana-3101	266	12	infarction	infarction	NOUN
cana-3101	266	13	using	use	VERB
cana-3101	266	14	ecg	ecg	PROPN
cana-3101	266	15	signals	signal	NOUN
cana-3101	266	16	.	.	PUNCT
cana-3101	267	1	inform	inform	NOUN
cana-3101	267	2	.	.	PUNCT
cana-3101	268	1	sci	sci	PROPN
cana-3101	268	2	.	.	PROPN
cana-3101	269	1	415	415	NUM
cana-3101	269	2	,	,	PUNCT
cana-3101	269	3	190–198	190–198	NUM
cana-3101	269	4	.	.	PUNCT
cana-3101	270	1	doi	doi	NOUN
cana-3101	270	2	:	:	PUNCT
cana-3101	270	3	10.1016	10.1016	NUM
cana-3101	270	4	/	/	SYM
cana-3101	270	5	j.ins.2017.06.027	j.ins.2017.06.027	PROPN
cana-3101	270	6	[	[	X
cana-3101	270	7	18	18	NUM
cana-3101	270	8	]	]	SYM
cana-3101	270	9	zubair	zubair	PROPN
cana-3101	270	10	,	,	PUNCT
cana-3101	270	11	m.	m.	NOUN
cana-3101	270	12	,	,	PUNCT
cana-3101	270	13	kim	kim	PROPN
cana-3101	270	14	,	,	PUNCT
cana-3101	270	15	j.	j.	PROPN
cana-3101	270	16	,	,	PUNCT
cana-3101	270	17	and	and	CCONJ
cana-3101	270	18	yoon	yoon	PROPN
cana-3101	270	19	,	,	PUNCT
cana-3101	270	20	c.	c.	PROPN
cana-3101	270	21	(	(	PUNCT
cana-3101	270	22	2016	2016	NUM
cana-3101	270	23	)	)	PUNCT
cana-3101	270	24	.	.	PUNCT
cana-3101	271	1	“	"	PUNCT
cana-3101	271	2	an	an	DET
cana-3101	271	3	automated	automate	VERB
cana-3101	271	4	ecg	ecg	PROPN
cana-3101	271	5	beat	beat	VERB
cana-3101	271	6	classification	classification	NOUN
cana-3101	271	7	system	system	NOUN
cana-3101	271	8	using	use	VERB
cana-3101	271	9	convolutional	convolutional	ADJ
cana-3101	271	10	neural	neural	ADJ
cana-3101	271	11	networks	network	NOUN
cana-3101	271	12	,	,	PUNCT
cana-3101	271	13	”	"	PUNCT
cana-3101	271	14	in	in	ADP
cana-3101	271	15	2016	2016	NUM
cana-3101	271	16	6th	6th	ADJ
cana-3101	271	17	international	international	ADJ
cana-3101	271	18	conference	conference	NOUN
cana-3101	271	19	on	on	ADP
cana-3101	271	20	it	it	PRON
cana-3101	271	21	convergence	convergence	NOUN
cana-3101	271	22	and	and	CCONJ
cana-3101	271	23	security	security	NOUN
cana-3101	271	24	(	(	PUNCT
cana-3101	271	25	icitcs	icitcs	NOUN
cana-3101	271	26	)	)	PUNCT
cana-3101	271	27	(	(	PUNCT
cana-3101	271	28	prague	prague	NOUN
cana-3101	271	29	:	:	PUNCT
cana-3101	271	30	ieee	ieee	PROPN
cana-3101	271	31	)	)	PUNCT
cana-3101	271	32	,	,	PUNCT
cana-3101	271	33	1–5	1–5	PROPN
cana-3101	271	34	.	.	PUNCT
cana-3101	271	35	doi	doi	NOUN
cana-3101	271	36	:	:	PUNCT
cana-3101	271	37	10.1109	10.1109	NUM
cana-3101	271	38	/	/	SYM
cana-3101	271	39	icitcs.2016.7740310	icitcs.2016.7740310	NOUN
cana-3101	272	1	[	[	X
cana-3101	272	2	19	19	NUM
cana-3101	272	3	]	]	PUNCT
cana-3101	272	4	l.	l.	PROPN
cana-3101	272	5	biel	biel	PROPN
cana-3101	272	6	,	,	PUNCT
cana-3101	272	7	o.	o.	PROPN
cana-3101	272	8	pettersson	pettersson	PROPN
cana-3101	272	9	,	,	PUNCT
cana-3101	272	10	l.	l.	PROPN
cana-3101	272	11	philipson	philipson	PROPN
cana-3101	272	12	,	,	PUNCT
cana-3101	272	13	and	and	CCONJ
cana-3101	272	14	p.	p.	NOUN
cana-3101	272	15	wide	wide	ADV
cana-3101	272	16	,	,	PUNCT
cana-3101	272	17	“	"	PUNCT
cana-3101	272	18	ecg	ecg	PROPN
cana-3101	272	19	analysis	analysis	NOUN
cana-3101	272	20	:	:	PUNCT
cana-3101	272	21	a	a	DET
cana-3101	272	22	newapproach	newapproach	NOUN
cana-3101	272	23	in	in	ADP
cana-3101	272	24	human	human	ADJ
cana-3101	272	25	identification	identification	NOUN
cana-3101	272	26	,	,	PUNCT
cana-3101	272	27	”	"	PUNCT
cana-3101	272	28	ieee	ieee	NOUN
cana-3101	272	29	transactions	transaction	NOUN
cana-3101	272	30	on	on	ADP
cana-3101	272	31	instrumentationand	instrumentationand	PROPN
cana-3101	272	32	measurement	measurement	NOUN
cana-3101	272	33	,	,	PUNCT
cana-3101	272	34	vol	vol	NOUN
cana-3101	272	35	.	.	PROPN
cana-3101	272	36	50	50	NUM
cana-3101	272	37	,	,	PUNCT
cana-3101	272	38	no	no	INTJ
cana-3101	272	39	.	.	NOUN
cana-3101	272	40	3	3	NUM
cana-3101	272	41	,	,	PUNCT
cana-3101	272	42	pp	pp	ADJ
cana-3101	272	43	.	.	PUNCT
cana-3101	273	1	808–812	808–812	NUM
cana-3101	273	2	,	,	PUNCT
cana-3101	273	3	2001	2001	NUM
cana-3101	273	4	.	.	PUNCT
cana-3101	274	1	[	[	X
cana-3101	274	2	20	20	NUM
cana-3101	274	3	]	]	PUNCT
cana-3101	274	4	s.	s.	PROPN
cana-3101	274	5	a.	a.	PROPN
cana-3101	274	6	israel	israel	PROPN
cana-3101	274	7	,	,	PUNCT
cana-3101	274	8	j.	j.	PROPN
cana-3101	274	9	m.	m.	PROPN
cana-3101	274	10	irvine	irvine	PROPN
cana-3101	274	11	,	,	PUNCT
cana-3101	274	12	a.	a.	PROPN
cana-3101	274	13	cheng	cheng	PROPN
cana-3101	274	14	,	,	PUNCT
cana-3101	274	15	m.	m.	PROPN
cana-3101	274	16	d.	d.	PROPN
cana-3101	274	17	wiederhold	wiederhold	PROPN
cana-3101	274	18	,	,	PUNCT
cana-3101	274	19	and	and	CCONJ
cana-3101	274	20	b.	b.	PROPN
cana-3101	274	21	k.wiederhold	k.wiederhold	PROPN
cana-3101	274	22	,	,	PUNCT
cana-3101	274	23	“	"	PUNCT
cana-3101	274	24	ecg	ecg	PROPN
cana-3101	274	25	to	to	PART
cana-3101	274	26	identify	identify	VERB
cana-3101	274	27	individuals	individual	NOUN
cana-3101	274	28	,	,	PUNCT
cana-3101	274	29	”	"	PUNCT
cana-3101	274	30	pattern	pattern	NOUN
cana-3101	274	31	recognition	recognition	NOUN
cana-3101	274	32	,	,	PUNCT
cana-3101	274	33	vol	vol	NOUN
cana-3101	274	34	.	.	PROPN
cana-3101	275	1	38	38	NUM
cana-3101	275	2	,	,	PUNCT
cana-3101	275	3	no	no	INTJ
cana-3101	275	4	.	.	NOUN
cana-3101	275	5	1	1	NUM
cana-3101	275	6	,	,	PUNCT
cana-3101	275	7	pp	pp	ADJ
cana-3101	275	8	.	.	PUNCT
cana-3101	276	1	133–142	133–142	NUM
cana-3101	276	2	,	,	PUNCT
cana-3101	276	3	2005	2005	NUM
cana-3101	276	4	.	.	PUNCT
cana-3101	277	1	[	[	X
cana-3101	277	2	21	21	NUM
cana-3101	277	3	]	]	X
cana-3101	277	4	y.	y.	PROPN
cana-3101	277	5	wang	wang	PROPN
cana-3101	277	6	,	,	PUNCT
cana-3101	277	7	f.	f.	PROPN
cana-3101	277	8	agrafioti	agrafioti	PROPN
cana-3101	277	9	,	,	PUNCT
cana-3101	277	10	d.	d.	PROPN
cana-3101	277	11	hatzinakos	hatzinakos	PROPN
cana-3101	277	12	,	,	PUNCT
cana-3101	277	13	and	and	CCONJ
cana-3101	277	14	k.	k.	PROPN
cana-3101	277	15	n.	n.	PROPN
cana-3101	277	16	plataniotis	plataniotis	PROPN
cana-3101	277	17	,	,	PUNCT
cana-3101	277	18	“	"	PUNCT
cana-3101	277	19	analysis	analysis	NOUN
cana-3101	277	20	ofhuman	ofhuman	ADJ
cana-3101	277	21	electrocardiogram	electrocardiogram	NOUN
cana-3101	277	22	for	for	ADP
cana-3101	277	23	biometric	biometric	ADJ
cana-3101	277	24	recognition	recognition	NOUN
cana-3101	277	25	,	,	PUNCT
cana-3101	277	26	”	"	PUNCT
cana-3101	277	27	eurasip	eurasip	NOUN
cana-3101	277	28	journalon	journalon	PROPN
cana-3101	277	29	advances	advance	VERB
cana-3101	277	30	in	in	ADP
cana-3101	277	31	signal	signal	ADJ
cana-3101	277	32	processing	processing	NOUN
cana-3101	277	33	,	,	PUNCT
cana-3101	277	34	vol	vol	NOUN
cana-3101	277	35	.	.	PROPN
cana-3101	277	36	2008	2008	NUM
cana-3101	277	37	,	,	PUNCT
cana-3101	277	38	p.	p.	NOUN
cana-3101	277	39	19	19	NUM
cana-3101	277	40	,	,	PUNCT
cana-3101	277	41	2008	2008	NUM
cana-3101	277	42	.	.	PUNCT
cana-3101	278	1	[	[	X
cana-3101	278	2	22	22	NUM
cana-3101	278	3	]	]	PUNCT
cana-3101	278	4	s.	s.	PROPN
cana-3101	278	5	saechia	saechia	PROPN
cana-3101	278	6	,	,	PUNCT
cana-3101	278	7	j.	j.	PROPN
cana-3101	278	8	koseeyaporn	koseeyaporn	VERB
cana-3101	278	9	,	,	PUNCT
cana-3101	278	10	and	and	CCONJ
cana-3101	278	11	p.	p.	PROPN
cana-3101	278	12	wardkein	wardkein	PROPN
cana-3101	278	13	,	,	PUNCT
cana-3101	278	14	“	"	PUNCT
cana-3101	278	15	human	human	ADJ
cana-3101	278	16	identificationsystem	identificationsystem	NOUN
cana-3101	278	17	based	base	VERB
cana-3101	278	18	ecg	ecg	PROPN
cana-3101	278	19	signal	signal	NOUN
cana-3101	278	20	,	,	PUNCT
cana-3101	278	21	”	"	PUNCT
cana-3101	278	22	in	in	ADP
cana-3101	278	23	tencon	tencon	NOUN
cana-3101	278	24	2005	2005	NUM
cana-3101	278	25	2005	2005	NUM
cana-3101	278	26	ieee	ieee	NOUN
cana-3101	278	27	region	region	NOUN
cana-3101	278	28	10.ieee	10.ieee	NUM
cana-3101	278	29	,	,	PUNCT
cana-3101	278	30	2005	2005	NUM
cana-3101	278	31	,	,	PUNCT
cana-3101	278	32	pp	pp	ADV
cana-3101	278	33	.	.	PUNCT
cana-3101	279	1	1–4	1–4	NUM
cana-3101	279	2	.	.	PUNCT
cana-3101	280	1	[	[	X
cana-3101	280	2	23	23	NUM
cana-3101	280	3	]	]	PUNCT
cana-3101	280	4	k.	k.	PROPN
cana-3101	280	5	n.	n.	PROPN
cana-3101	280	6	plataniotis	plataniotis	PROPN
cana-3101	280	7	,	,	PUNCT
cana-3101	280	8	d.	d.	PROPN
cana-3101	280	9	hatzinakos	hatzinakos	PROPN
cana-3101	280	10	,	,	PUNCT
cana-3101	280	11	and	and	CCONJ
cana-3101	280	12	j.	j.	PROPN
cana-3101	280	13	k.	k.	PROPN
cana-3101	280	14	lee	lee	PROPN
cana-3101	280	15	,	,	PUNCT
cana-3101	280	16	“	"	PUNCT
cana-3101	280	17	ecg	ecg	PROPN
cana-3101	280	18	biometric	biometric	ADJ
cana-3101	280	19	recognitionwithout	recognitionwithout	PROPN
cana-3101	280	20	fiducial	fiducial	ADJ
cana-3101	280	21	detection	detection	NOUN
cana-3101	280	22	,	,	PUNCT
cana-3101	280	23	”	"	PUNCT
cana-3101	280	24	in	in	ADP
cana-3101	280	25	biometric	biometric	ADJ
cana-3101	280	26	consortium	consortium	NOUN
cana-3101	280	27	conference,2006	conference,2006	ADJ
cana-3101	280	28	biometrics	biometric	NOUN
cana-3101	280	29	symposium	symposium	NOUN
cana-3101	280	30	:	:	PUNCT
cana-3101	280	31	special	special	ADJ
cana-3101	280	32	session	session	NOUN
cana-3101	280	33	on	on	ADP
cana-3101	280	34	research	research	NOUN
cana-3101	280	35	at	at	ADP
cana-3101	280	36	the	the	PRON
cana-3101	280	37	.	.	PUNCT
cana-3101	281	1	ieee,2006	ieee,2006	NOUN
cana-3101	281	2	,	,	PUNCT
cana-3101	281	3	pp	pp	ADJ
cana-3101	281	4	.	.	PUNCT
cana-3101	282	1	1–6	1–6	NUM
cana-3101	282	2	.	.	PUNCT
cana-3101	283	1	communications	communication	NOUN
cana-3101	283	2	on	on	ADP
cana-3101	283	3	applied	apply	VERB
cana-3101	283	4	nonlinear	nonlinear	ADJ
cana-3101	283	5	analysis	analysis	NOUN
cana-3101	283	6	issn	issn	NOUN
cana-3101	283	7	:	:	PUNCT
cana-3101	283	8	1074	1074	NUM
cana-3101	283	9	-	-	PUNCT
cana-3101	283	10	133x	133x	NUM
cana-3101	283	11	vol	vol	NOUN
cana-3101	283	12	32	32	NUM
cana-3101	283	13	no	no	NOUN
cana-3101	283	14	.	.	PUNCT
cana-3101	284	1	5s	5s	NUM
cana-3101	284	2	(	(	PUNCT
cana-3101	284	3	2025	2025	NUM
cana-3101	284	4	)	)	PUNCT
cana-3101	284	5	313	313	NUM
cana-3101	284	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3101	285	1	[	[	X
cana-3101	285	2	24	24	NUM
cana-3101	285	3	]	]	X
cana-3101	285	4	f.	f.	PROPN
cana-3101	285	5	agrafioti	agrafioti	PROPN
cana-3101	285	6	and	and	CCONJ
cana-3101	285	7	d.	d.	PROPN
cana-3101	285	8	hatzinakos	hatzinakos	PROPN
cana-3101	285	9	,	,	PUNCT
cana-3101	285	10	“	"	PUNCT
cana-3101	285	11	ecg	ecg	PROPN
cana-3101	285	12	based	base	VERB
cana-3101	285	13	recognition	recognition	NOUN
cana-3101	285	14	using	use	VERB
cana-3101	285	15	secondorder	secondorder	ADJ
cana-3101	285	16	statistics	statistic	NOUN
cana-3101	285	17	,	,	PUNCT
cana-3101	285	18	”	"	PUNCT
cana-3101	285	19	in	in	ADP
cana-3101	285	20	communication	communication	NOUN
cana-3101	285	21	networks	network	NOUN
cana-3101	285	22	and	and	CCONJ
cana-3101	285	23	services	service	NOUN
cana-3101	285	24	researchconference	researchconference	NOUN
cana-3101	285	25	,	,	PUNCT
cana-3101	285	26	2008	2008	NUM
cana-3101	285	27	.	.	PUNCT
cana-3101	286	1	cnsr	cnsr	PROPN
cana-3101	286	2	2008	2008	NUM
cana-3101	286	3	.	.	PUNCT
cana-3101	287	1	6th	6th	ADJ
cana-3101	287	2	annual	annual	ADJ
cana-3101	287	3	.	.	PUNCT
cana-3101	287	4	ieee	ieee	PROPN
cana-3101	287	5	,	,	PUNCT
cana-3101	287	6	2008	2008	NUM
cana-3101	287	7	,	,	PUNCT
cana-3101	287	8	pp	pp	ADP
cana-3101	287	9	.	.	PUNCT
cana-3101	287	10	82–87	82–87	NUM
cana-3101	287	11	.	.	PUNCT
cana-3101	288	1	[	[	X
cana-3101	288	2	25	25	NUM
cana-3101	288	3	]	]	PUNCT
cana-3101	288	4	s.	s.	PROPN
cana-3101	288	5	z.	z.	PROPN
cana-3101	288	6	fatemian	fatemian	PROPN
cana-3101	288	7	and	and	CCONJ
cana-3101	288	8	d.	d.	PROPN
cana-3101	288	9	hatzinakos	hatzinakos	PROPN
cana-3101	288	10	,	,	PUNCT
cana-3101	288	11	“	"	PUNCT
cana-3101	288	12	a	a	DET
cana-3101	288	13	new	new	ADJ
cana-3101	288	14	ecg	ecg	PROPN
cana-3101	288	15	feature	feature	NOUN
cana-3101	288	16	extractorfor	extractorfor	ADP
cana-3101	288	17	biometric	biometric	ADJ
cana-3101	288	18	recognition	recognition	NOUN
cana-3101	288	19	,	,	PUNCT
cana-3101	288	20	”	"	PUNCT
cana-3101	288	21	in	in	ADP
cana-3101	288	22	digital	digital	ADJ
cana-3101	288	23	signal	signal	NOUN
cana-3101	288	24	processing	processing	NOUN
cana-3101	288	25	,	,	PUNCT
cana-3101	288	26	2009	2009	NUM
cana-3101	288	27	16thinternational	16thinternational	NUM
cana-3101	288	28	conference	conference	NOUN
cana-3101	288	29	on	on	ADP
cana-3101	288	30	.	.	PUNCT
cana-3101	289	1	ieee	ieee	PROPN
cana-3101	289	2	,	,	PUNCT
cana-3101	289	3	2009	2009	NUM
cana-3101	289	4	,	,	PUNCT
cana-3101	289	5	pp	pp	ADV
cana-3101	289	6	.	.	PUNCT
cana-3101	290	1	1–6	1–6	X
cana-3101	290	2	.	.	PUNCT
cana-3101	291	1	[	[	X
cana-3101	291	2	26	26	NUM
cana-3101	291	3	]	]	PUNCT
cana-3101	291	4	t.-w	t.-w	PROPN
cana-3101	291	5	.	.	PUNCT
cana-3101	291	6	shen	shen	PROPN
cana-3101	291	7	,	,	PUNCT
cana-3101	291	8	w.	w.	PROPN
cana-3101	291	9	tompkins	tompkins	PROPN
cana-3101	291	10	,	,	PUNCT
cana-3101	291	11	and	and	CCONJ
cana-3101	291	12	y.	y.	PROPN
cana-3101	291	13	hu	hu	PROPN
cana-3101	291	14	,	,	PUNCT
cana-3101	291	15	“	"	PUNCT
cana-3101	291	16	one	one	NUM
cana-3101	291	17	-	-	PUNCT
cana-3101	291	18	lead	lead	NOUN
cana-3101	291	19	ecg	ecg	PROPN
cana-3101	291	20	for	for	ADP
cana-3101	291	21	identityverification	identityverification	NOUN
cana-3101	291	22	,	,	PUNCT
cana-3101	291	23	”	"	PUNCT
cana-3101	291	24	in	in	ADP
cana-3101	291	25	engineering	engineering	NOUN
cana-3101	291	26	in	in	ADP
cana-3101	291	27	medicine	medicine	NOUN
cana-3101	291	28	and	and	CCONJ
cana-3101	291	29	biology	biology	NOUN
cana-3101	291	30	,	,	PUNCT
cana-3101	291	31	2002	2002	NUM
cana-3101	291	32	.	.	PUNCT
cana-3101	292	1	24th	24th	ADJ
cana-3101	292	2	annualconference	annualconference	NOUN
cana-3101	292	3	and	and	CCONJ
cana-3101	292	4	the	the	DET
cana-3101	292	5	annual	annual	ADJ
cana-3101	292	6	fall	fall	NOUN
cana-3101	292	7	meeting	meeting	NOUN
cana-3101	292	8	of	of	ADP
cana-3101	292	9	the	the	DET
cana-3101	292	10	biomedical	biomedical	ADJ
cana-3101	292	11	engineeringsociety	engineeringsociety	NOUN
cana-3101	292	12	embs	embs	X
cana-3101	292	13	/	/	SYM
cana-3101	292	14	bmes	bme	NOUN
cana-3101	292	15	conference	conference	NOUN
cana-3101	292	16	,	,	PUNCT
cana-3101	292	17	2002	2002	NUM
cana-3101	292	18	.	.	PUNCT
cana-3101	293	1	proceedings	proceeding	NOUN
cana-3101	293	2	of	of	ADP
cana-3101	293	3	the	the	DET
cana-3101	293	4	second	second	ADJ
cana-3101	293	5	joint	joint	ADJ
cana-3101	293	6	,	,	PUNCT
cana-3101	293	7	vol	vol	NOUN
cana-3101	293	8	.	.	NOUN
cana-3101	293	9	1	1	NUM
cana-3101	293	10	.	.	X
cana-3101	293	11	ieee	ieee	PROPN
cana-3101	293	12	,	,	PUNCT
cana-3101	293	13	2002	2002	NUM
cana-3101	293	14	,	,	PUNCT
cana-3101	293	15	pp	pp	ADV
cana-3101	293	16	.	.	PUNCT
cana-3101	294	1	62–63	62–63	VERB
cana-3101	294	2	.	.	PUNCT
cana-3101	295	1	[	[	X
cana-3101	295	2	27	27	NUM
cana-3101	295	3	]	]	X
cana-3101	295	4	g.	g.	PROPN
cana-3101	295	5	w¨ubbeler	w¨ubbeler	PROPN
cana-3101	295	6	,	,	PUNCT
cana-3101	295	7	m.	m.	NOUN
cana-3101	295	8	stavridis	stavridis	PROPN
cana-3101	295	9	,	,	PUNCT
cana-3101	295	10	d.	d.	PROPN
cana-3101	295	11	kreiseler	kreiseler	PROPN
cana-3101	295	12	,	,	PUNCT
cana-3101	295	13	r.-d	r.-d	PROPN
cana-3101	295	14	.	.	PUNCT
cana-3101	296	1	bousseljot	bousseljot	PROPN
cana-3101	296	2	,	,	PUNCT
cana-3101	296	3	and	and	CCONJ
cana-3101	296	4	c.	c.	PROPN
cana-3101	296	5	elster	elster	PROPN
cana-3101	296	6	,	,	PUNCT
cana-3101	296	7	verification	verification	NOUN
cana-3101	296	8	of	of	ADP
cana-3101	296	9	humans	human	NOUN
cana-3101	296	10	using	use	VERB
cana-3101	296	11	the	the	DET
cana-3101	296	12	electrocardiogram	electrocardiogram	NOUN
cana-3101	296	13	,	,	PUNCT
cana-3101	296	14	”	"	PUNCT
cana-3101	296	15	pattern	pattern	NOUN
cana-3101	296	16	recognitionletters	recognitionletter	NOUN
cana-3101	296	17	,	,	PUNCT
cana-3101	296	18	vol	vol	NOUN
cana-3101	296	19	.	.	PROPN
cana-3101	297	1	28	28	NUM
cana-3101	297	2	,	,	PUNCT
cana-3101	297	3	no	no	INTJ
cana-3101	297	4	.	.	NOUN
cana-3101	297	5	10	10	NUM
cana-3101	297	6	,	,	PUNCT
cana-3101	297	7	pp	pp	ADJ
cana-3101	297	8	.	.	PUNCT
cana-3101	298	1	1172–1175	1172–1175	NUM
cana-3101	298	2	,	,	PUNCT
cana-3101	298	3	2007	2007	NUM
cana-3101	298	4	.	.	PUNCT
cana-3101	299	1	[	[	X
cana-3101	299	2	28	28	NUM
cana-3101	299	3	]	]	X
cana-3101	299	4	fratini	fratini	NOUN
cana-3101	299	5	,	,	PUNCT
cana-3101	299	6	a.	a.	NOUN
cana-3101	299	7	;	;	PUNCT
cana-3101	299	8	sansone	sansone	NOUN
cana-3101	299	9	,	,	PUNCT
cana-3101	299	10	m.	m.	NOUN
cana-3101	299	11	;	;	PUNCT
cana-3101	299	12	bifulco	bifulco	NOUN
cana-3101	299	13	,	,	PUNCT
cana-3101	299	14	p.	p.	NOUN
cana-3101	299	15	;	;	PUNCT
cana-3101	299	16	cesarelli	cesarelli	PROPN
cana-3101	299	17	,	,	PUNCT
cana-3101	299	18	m.	m.	NOUN
cana-3101	299	19	individual	individual	ADJ
cana-3101	299	20	identification	identification	NOUN
cana-3101	299	21	via	via	ADP
cana-3101	299	22	electrocardiogram	electrocardiogram	NOUN
cana-3101	299	23	analysis.biomed	analysis.biomed	NUM
cana-3101	299	24	.	.	PUNCT
cana-3101	300	1	eng	eng	PROPN
cana-3101	300	2	.	.	PUNCT
cana-3101	301	1	online	online	ADJ
cana-3101	301	2	2015	2015	NUM
cana-3101	301	3	,	,	PUNCT
cana-3101	301	4	14	14	NUM
cana-3101	301	5	,	,	PUNCT
cana-3101	301	6	78	78	NUM
cana-3101	301	7	.	.	PUNCT
cana-3101	302	1	[	[	X
cana-3101	302	2	29	29	NUM
cana-3101	302	3	]	]	X
cana-3101	302	4	hammad	hammad	PROPN
cana-3101	302	5	,	,	PUNCT
cana-3101	302	6	m.	m.	NOUN
cana-3101	302	7	;	;	PUNCT
cana-3101	302	8	pławiak	pławiak	PROPN
cana-3101	302	9	,	,	PUNCT
cana-3101	302	10	p.	p.	PROPN
cana-3101	302	11	;	;	PUNCT
cana-3101	302	12	wang	wang	PROPN
cana-3101	302	13	,	,	PUNCT
cana-3101	302	14	k.	k.	PROPN
cana-3101	302	15	;	;	PUNCT
cana-3101	302	16	acharya	acharya	PROPN
cana-3101	302	17	,	,	PUNCT
cana-3101	302	18	u.r	u.r	PROPN
cana-3101	302	19	.	.	PROPN
cana-3101	302	20	resnet	resnet	NOUN
cana-3101	302	21	-	-	PUNCT
cana-3101	302	22	attention	attention	NOUN
cana-3101	302	23	model	model	NOUN
cana-3101	302	24	for	for	ADP
cana-3101	302	25	human	human	ADJ
cana-3101	302	26	authentication	authentication	NOUN
cana-3101	302	27	using	use	VERB
cana-3101	302	28	ecg	ecg	PROPN
cana-3101	302	29	signals	signal	NOUN
cana-3101	302	30	.	.	PUNCT
cana-3101	303	1	expert	expert	NOUN
cana-3101	303	2	syst	syst	PROPN
cana-3101	303	3	.	.	PUNCT
cana-3101	304	1	2020	2020	NUM
cana-3101	304	2	,	,	PUNCT
cana-3101	304	3	e12547	e12547	NOUN
cana-3101	304	4	.	.	PUNCT
cana-3101	305	1	[	[	X
cana-3101	305	2	30	30	NUM
cana-3101	305	3	]	]	X
cana-3101	305	4	gangwar	gangwar	VERB
cana-3101	305	5	,	,	PUNCT
cana-3101	305	6	krishanveer	krishanveer	PROPN
cana-3101	305	7	and	and	CCONJ
cana-3101	305	8	kumar	kumar	PROPN
cana-3101	305	9	,	,	PUNCT
cana-3101	305	10	vimal	vimal	ADJ
cana-3101	305	11	and	and	CCONJ
cana-3101	305	12	singh	singh	PROPN
cana-3101	305	13	,	,	PUNCT
cana-3101	305	14	ajay	ajay	PROPN
cana-3101	305	15	kr	kr	PROPN
cana-3101	305	16	.	.	PROPN
cana-3101	305	17	and	and	CCONJ
cana-3101	305	18	sharma	sharma	PROPN
cana-3101	305	19	,	,	PUNCT
cana-3101	305	20	vijay	vijay	NOUN
cana-3101	305	21	kr	kr	PROPN
cana-3101	305	22	.	.	PROPN
cana-3101	305	23	,	,	PUNCT
cana-3101	305	24	“	"	PUNCT
cana-3101	305	25	classificationofimagedatasetusingconvolutionalneuralnetwork	classificationofimagedatasetusingconvolutionalneuralnetwork	NOUN
cana-3101	305	26	”	"	PUNCT
cana-3101	305	27	proceedingsof2ndinternationalconferenceonadvancedcomputingandsoftwareengineering(icacse)2019.htt	proceedingsof2ndinternationalconferenceonadvancedcomputingandsoftwareengineering(icacse)2019.htt	PROPN
cana-3101	305	28	p://dx.doi.org/10.2139	p://dx.doi.org/10.2139	PROPN
cana-3101	305	29	/	/	SYM
cana-3101	305	30	ssrn.3349594	ssrn.3349594	PROPN
cana-3101	305	31	[	[	X
cana-3101	305	32	31	31	NUM
cana-3101	305	33	]	]	X
cana-3101	305	34	md	md	PROPN
cana-3101	305	35	iqbal	iqbal	PROPN
cana-3101	305	36	,	,	PUNCT
cana-3101	305	37	vimal	vimal	PROPN
cana-3101	305	38	kumar	kumar	PROPN
cana-3101	305	39	and	and	CCONJ
cana-3101	305	40	vijay	vijay	PROPN
cana-3101	305	41	kumar	kumar	PROPN
cana-3101	305	42	sharma	sharma	PROPN
cana-3101	305	43	,	,	PUNCT
cana-3101	305	44	“	"	PUNCT
cana-3101	305	45	krishi	krishi	PROPN
cana-3101	305	46	portal	portal	PROPN
cana-3101	305	47	:	:	PUNCT
cana-3101	305	48	web	web	NOUN
cana-3101	305	49	basedfarmer	basedfarmer	NOUN
cana-3101	305	50	help	help	NOUN
cana-3101	305	51	assistance	assistance	NOUN
cana-3101	305	52	”	"	PUNCT
cana-3101	305	53	scopus	scopus	PROPN
cana-3101	305	54	indexed	index	VERB
cana-3101	305	55	international	international	ADJ
cana-3101	305	56	journal	journal	NOUN
cana-3101	305	57	of	of	ADP
cana-3101	305	58	advanced	advanced	ADJ
cana-3101	305	59	science	science	NOUN
cana-3101	305	60	and	and	CCONJ
cana-3101	305	61	technology	technology	NOUN
cana-3101	305	62	,	,	PUNCT
cana-3101	305	63	29(06),4783–4786	29(06),4783–4786	NUM
cana-3101	305	64	,	,	PUNCT
cana-3101	305	65	2020.http://sersc.org/journals/index.php/ijast/article/view/19399	2020.http://sersc.org/journals/index.php/ijast/article/view/19399	NUM
cana-3101	306	1	[	[	X
cana-3101	306	2	32	32	NUM
cana-3101	306	3	]	]	SYM
cana-3101	306	4	vidhityagi	vidhityagi	NOUN
cana-3101	306	5	,	,	PUNCT
cana-3101	306	6	shivam	shivam	PROPN
cana-3101	306	7	arora	arora	PROPN
cana-3101	306	8	,	,	PUNCT
cana-3101	306	9	sattyam	sattyam	PROPN
cana-3101	306	10	gupta	gupta	PROPN
cana-3101	306	11	,	,	PUNCT
cana-3101	306	12	vijay	vijay	NOUN
cana-3101	306	13	kr	kr	PROPN
cana-3101	306	14	.	.	PROPN
cana-3101	306	15	sharma	sharma	PROPN
cana-3101	306	16	,	,	PUNCT
cana-3101	306	17	vimal	vimal	PROPN
cana-3101	306	18	kumar	kumar	PROPN
cana-3101	306	19	,	,	PUNCT
cana-3101	306	20	“	"	PUNCT
cana-3101	306	21	architecture	architecture	NOUN
cana-3101	306	22	of	of	ADP
cana-3101	306	23	an	an	DET
cana-3101	306	24	iot	iot	NOUN
cana-3101	306	25	-	-	PUNCT
cana-3101	306	26	based	base	VERB
cana-3101	306	27	women	woman	NOUN
cana-3101	306	28	safety	safety	NOUN
cana-3101	306	29	system	system	NOUN
cana-3101	306	30	”	"	PUNCT
cana-3101	306	31	scopus	scopus	PROPN
cana-3101	306	32	indexed	index	VERB
cana-3101	306	33	international	international	ADJ
cana-3101	306	34	journal	journal	NOUN
cana-3101	306	35	of	of	ADP
cana-3101	306	36	advanced	advanced	ADJ
cana-3101	306	37	science	science	NOUN
cana-3101	306	38	and	and	CCONJ
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cana-3101	306	40	)	)	PUNCT
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