id	sid	tid	token	lemma	pos
aiti-14034	1	1	advances	advance	NOUN
aiti-14034	1	2	in	in	ADP
aiti-14034	1	3	technology	technology	NOUN
aiti-14034	1	4	innovation	innovation	NOUN
aiti-14034	1	5	,	,	PUNCT
aiti-14034	1	6	vol	vol	NOUN
aiti-14034	1	7	.	.	PROPN
aiti-14034	2	1	10	10	NUM
aiti-14034	2	2	,	,	PUNCT
aiti-14034	2	3	no	no	INTJ
aiti-14034	2	4	.	.	NOUN
aiti-14034	2	5	2	2	NUM
aiti-14034	2	6	,	,	PUNCT
aiti-14034	2	7	2025	2025	NUM
aiti-14034	2	8	,	,	PUNCT
aiti-14034	2	9	pp	pp	ADJ
aiti-14034	2	10	.	.	PUNCT
aiti-14034	3	1	102	102	NUM
aiti-14034	3	2	-	-	SYM
aiti-14034	3	3	117	117	NUM
aiti-14034	3	4	english	english	ADJ
aiti-14034	3	5	language	language	NOUN
aiti-14034	3	6	proofreader	proofreader	NOUN
aiti-14034	3	7	:	:	PUNCT
aiti-14034	3	8	yu	yu	PROPN
aiti-14034	3	9	-	-	PROPN
aiti-14034	3	10	rui	rui	PROPN
aiti-14034	3	11	huang	huang	PROPN
aiti-14034	3	12	enhanced	enhanced	PROPN
aiti-14034	3	13	electrocardiogram	electrocardiogram	NOUN
aiti-14034	3	14	arrhythmia	arrhythmia	NOUN
aiti-14034	3	15	diagnosis	diagnosis	NOUN
aiti-14034	3	16	with	with	ADP
aiti-14034	3	17	deep	deep	ADJ
aiti-14034	3	18	learning	learning	NOUN
aiti-14034	3	19	and	and	CCONJ
aiti-14034	3	20	selective	selective	ADJ
aiti-14034	3	21	attention	attention	NOUN
aiti-14034	3	22	mechanism	mechanism	NOUN
aiti-14034	3	23	hasanain	hasanain	VERB
aiti-14034	3	24	shakir	shakir	PROPN
aiti-14034	3	25	mansour1,2	mansour1,2	PROPN
aiti-14034	3	26	,	,	PUNCT
aiti-14034	3	27	morteza	morteza	NOUN
aiti-14034	3	28	valizadeh2	valizadeh2	NOUN
aiti-14034	3	29	,	,	PUNCT
aiti-14034	3	30	alaa	alaa	PROPN
aiti-14034	3	31	hussein	hussein	PROPN
aiti-14034	3	32	abdulaal3	abdulaal3	PROPN
aiti-14034	3	33	*	*	PUNCT
aiti-14034	3	34	,	,	PUNCT
aiti-14034	3	35	mehdi	mehdi	NOUN
aiti-14034	3	36	chehl	chehl	NOUN
aiti-14034	3	37	amirani2	amirani2	NOUN
aiti-14034	4	1	1department	1department	NUM
aiti-14034	4	2	of	of	ADP
aiti-14034	4	3	computer	computer	NOUN
aiti-14034	4	4	technical	technical	ADJ
aiti-14034	4	5	engineering	engineering	NOUN
aiti-14034	4	6	,	,	PUNCT
aiti-14034	4	7	college	college	NOUN
aiti-14034	4	8	of	of	ADP
aiti-14034	4	9	information	information	NOUN
aiti-14034	4	10	technology	technology	NOUN
aiti-14034	4	11	,	,	PUNCT
aiti-14034	4	12	imam	imam	PROPN
aiti-14034	4	13	ja'afar	ja'afar	PROPN
aiti-14034	4	14	al	al	PROPN
aiti-14034	4	15	-	-	PUNCT
aiti-14034	4	16	sadiq	sadiq	PROPN
aiti-14034	4	17	university	university	PROPN
aiti-14034	4	18	,	,	PUNCT
aiti-14034	4	19	al	al	PROPN
aiti-14034	4	20	-	-	PUNCT
aiti-14034	4	21	muthanna	muthanna	NOUN
aiti-14034	4	22	,	,	PUNCT
aiti-14034	4	23	iraq	iraq	PROPN
aiti-14034	4	24	2department	2department	NUM
aiti-14034	4	25	of	of	ADP
aiti-14034	4	26	electrical	electrical	ADJ
aiti-14034	4	27	engineering	engineering	NOUN
aiti-14034	4	28	,	,	PUNCT
aiti-14034	4	29	faculty	faculty	NOUN
aiti-14034	4	30	of	of	ADP
aiti-14034	4	31	electrical	electrical	ADJ
aiti-14034	4	32	and	and	CCONJ
aiti-14034	4	33	computer	computer	NOUN
aiti-14034	4	34	engineering	engineering	NOUN
aiti-14034	4	35	,	,	PUNCT
aiti-14034	4	36	urmia	urmia	PROPN
aiti-14034	4	37	university	university	PROPN
aiti-14034	4	38	,	,	PUNCT
aiti-14034	4	39	urmia	urmia	PROPN
aiti-14034	4	40	,	,	PUNCT
aiti-14034	4	41	iran	iran	PROPN
aiti-14034	4	42	3department	3department	NUM
aiti-14034	4	43	of	of	ADP
aiti-14034	4	44	electrical	electrical	ADJ
aiti-14034	4	45	engineering	engineering	NOUN
aiti-14034	4	46	,	,	PUNCT
aiti-14034	4	47	college	college	NOUN
aiti-14034	4	48	of	of	ADP
aiti-14034	4	49	engineering	engineering	PROPN
aiti-14034	4	50	,	,	PUNCT
aiti-14034	4	51	al	al	PROPN
aiti-14034	4	52	-	-	PUNCT
aiti-14034	4	53	iraqia	iraqia	PROPN
aiti-14034	4	54	university	university	PROPN
aiti-14034	4	55	,	,	PUNCT
aiti-14034	4	56	baghdad	baghdad	PROPN
aiti-14034	4	57	,	,	PUNCT
aiti-14034	4	58	iraq	iraq	PROPN
aiti-14034	4	59	received	receive	VERB
aiti-14034	4	60	21	21	NUM
aiti-14034	4	61	july	july	PROPN
aiti-14034	4	62	2024	2024	NUM
aiti-14034	4	63	;	;	PUNCT
aiti-14034	4	64	received	receive	VERB
aiti-14034	4	65	in	in	ADP
aiti-14034	4	66	revised	revise	VERB
aiti-14034	4	67	form	form	NOUN
aiti-14034	4	68	05	05	NUM
aiti-14034	4	69	december	december	PROPN
aiti-14034	4	70	2024	2024	NUM
aiti-14034	4	71	;	;	PUNCT
aiti-14034	4	72	accepted	accept	VERB
aiti-14034	4	73	06	06	NUM
aiti-14034	4	74	december	december	PROPN
aiti-14034	4	75	2024	2024	NUM
aiti-14034	4	76	doi	doi	NOUN
aiti-14034	4	77	:	:	PUNCT
aiti-14034	4	78	https://doi.org/10.46604/aiti.2024.14034	https://doi.org/10.46604/aiti.2024.14034	PROPN
aiti-14034	4	79	abstract	abstract	ADJ
aiti-14034	4	80	the	the	DET
aiti-14034	4	81	study	study	NOUN
aiti-14034	4	82	aims	aim	VERB
aiti-14034	4	83	to	to	PART
aiti-14034	4	84	improve	improve	VERB
aiti-14034	4	85	the	the	DET
aiti-14034	4	86	diagnosis	diagnosis	NOUN
aiti-14034	4	87	of	of	ADP
aiti-14034	4	88	arrhythmia	arrhythmia	NOUN
aiti-14034	4	89	in	in	ADP
aiti-14034	4	90	cardiovascular	cardiovascular	ADJ
aiti-14034	4	91	disease	disease	NOUN
aiti-14034	4	92	management	management	NOUN
aiti-14034	4	93	.	.	PUNCT
aiti-14034	5	1	a	a	DET
aiti-14034	5	2	novel	novel	ADJ
aiti-14034	5	3	approach	approach	NOUN
aiti-14034	5	4	using	use	VERB
aiti-14034	5	5	a	a	DET
aiti-14034	5	6	deep	deep	ADJ
aiti-14034	5	7	convolutional	convolutional	ADJ
aiti-14034	5	8	network	network	NOUN
aiti-14034	5	9	combined	combine	VERB
aiti-14034	5	10	with	with	ADP
aiti-14034	5	11	a	a	DET
aiti-14034	5	12	selective	selective	ADJ
aiti-14034	5	13	attention	attention	NOUN
aiti-14034	5	14	mechanism	mechanism	NOUN
aiti-14034	5	15	is	be	AUX
aiti-14034	5	16	proposed	propose	VERB
aiti-14034	5	17	for	for	ADP
aiti-14034	5	18	electrocardiogram	electrocardiogram	NOUN
aiti-14034	5	19	signal	signal	NOUN
aiti-14034	5	20	classification	classification	NOUN
aiti-14034	5	21	.	.	PUNCT
aiti-14034	6	1	the	the	DET
aiti-14034	6	2	deep	deep	ADJ
aiti-14034	6	3	convolutional	convolutional	ADJ
aiti-14034	6	4	network	network	NOUN
aiti-14034	6	5	extracts	extract	NOUN
aiti-14034	6	6	relevant	relevant	ADJ
aiti-14034	6	7	features	feature	NOUN
aiti-14034	6	8	directly	directly	ADV
aiti-14034	6	9	from	from	ADP
aiti-14034	6	10	raw	raw	ADJ
aiti-14034	6	11	electrocardiogram	electrocardiogram	NOUN
aiti-14034	6	12	signals	signal	NOUN
aiti-14034	6	13	,	,	PUNCT
aiti-14034	6	14	while	while	SCONJ
aiti-14034	6	15	the	the	DET
aiti-14034	6	16	selective	selective	ADJ
aiti-14034	6	17	attention	attention	NOUN
aiti-14034	6	18	mechanism	mechanism	NOUN
aiti-14034	6	19	focuses	focus	VERB
aiti-14034	6	20	on	on	ADP
aiti-14034	6	21	the	the	DET
aiti-14034	6	22	most	most	ADV
aiti-14034	6	23	critical	critical	ADJ
aiti-14034	6	24	regions	region	NOUN
aiti-14034	6	25	of	of	ADP
aiti-14034	6	26	the	the	DET
aiti-14034	6	27	signals	signal	NOUN
aiti-14034	6	28	and	and	CCONJ
aiti-14034	6	29	suppresses	suppress	VERB
aiti-14034	6	30	irrelevant	irrelevant	ADJ
aiti-14034	6	31	or	or	CCONJ
aiti-14034	6	32	noisy	noisy	ADJ
aiti-14034	6	33	components	component	NOUN
aiti-14034	6	34	.	.	PUNCT
aiti-14034	7	1	this	this	DET
aiti-14034	7	2	method	method	NOUN
aiti-14034	7	3	achieves	achieve	VERB
aiti-14034	7	4	an	an	DET
aiti-14034	7	5	accuracy	accuracy	NOUN
aiti-14034	7	6	of	of	ADP
aiti-14034	7	7	99.70	99.70	NUM
aiti-14034	7	8	%	%	NOUN
aiti-14034	7	9	in	in	ADP
aiti-14034	7	10	multi	multi	ADJ
aiti-14034	7	11	-	-	ADJ
aiti-14034	7	12	class	class	ADJ
aiti-14034	7	13	arrhythmia	arrhythmia	NOUN
aiti-14034	7	14	classification	classification	NOUN
aiti-14034	7	15	and	and	CCONJ
aiti-14034	7	16	99.85	99.85	NUM
aiti-14034	7	17	%	%	NOUN
aiti-14034	7	18	in	in	ADP
aiti-14034	7	19	binary	binary	ADJ
aiti-14034	7	20	classification	classification	NOUN
aiti-14034	7	21	,	,	PUNCT
aiti-14034	7	22	significantly	significantly	ADV
aiti-14034	7	23	outperforming	outperform	VERB
aiti-14034	7	24	traditional	traditional	ADJ
aiti-14034	7	25	classification	classification	NOUN
aiti-14034	7	26	algorithms	algorithm	NOUN
aiti-14034	7	27	.	.	PUNCT
aiti-14034	8	1	furthermore	furthermore	ADV
aiti-14034	8	2	,	,	PUNCT
aiti-14034	8	3	the	the	DET
aiti-14034	8	4	selective	selective	ADJ
aiti-14034	8	5	attention	attention	NOUN
aiti-14034	8	6	mechanism	mechanism	NOUN
aiti-14034	8	7	improves	improve	VERB
aiti-14034	8	8	the	the	DET
aiti-14034	8	9	localization	localization	NOUN
aiti-14034	8	10	of	of	ADP
aiti-14034	8	11	critical	critical	ADJ
aiti-14034	8	12	electrocardiogram	electrocardiogram	NOUN
aiti-14034	8	13	segments	segment	NOUN
aiti-14034	8	14	,	,	PUNCT
aiti-14034	8	15	offering	offer	VERB
aiti-14034	8	16	valuable	valuable	ADJ
aiti-14034	8	17	insights	insight	NOUN
aiti-14034	8	18	for	for	ADP
aiti-14034	8	19	clinicians	clinician	NOUN
aiti-14034	8	20	and	and	CCONJ
aiti-14034	8	21	aiding	aid	VERB
aiti-14034	8	22	in	in	ADP
aiti-14034	8	23	the	the	DET
aiti-14034	8	24	diagnosis	diagnosis	NOUN
aiti-14034	8	25	process	process	NOUN
aiti-14034	8	26	.	.	PUNCT
aiti-14034	9	1	this	this	DET
aiti-14034	9	2	enhanced	enhance	VERB
aiti-14034	9	3	approach	approach	NOUN
aiti-14034	9	4	increases	increase	VERB
aiti-14034	9	5	diagnostic	diagnostic	ADJ
aiti-14034	9	6	accuracy	accuracy	NOUN
aiti-14034	9	7	and	and	CCONJ
aiti-14034	9	8	provides	provide	VERB
aiti-14034	9	9	a	a	DET
aiti-14034	9	10	clearer	clear	ADJ
aiti-14034	9	11	understanding	understanding	NOUN
aiti-14034	9	12	of	of	ADP
aiti-14034	9	13	the	the	DET
aiti-14034	9	14	electrocardiogram	electrocardiogram	NOUN
aiti-14034	9	15	signals	signal	NOUN
aiti-14034	9	16	,	,	PUNCT
aiti-14034	9	17	which	which	PRON
aiti-14034	9	18	is	be	AUX
aiti-14034	9	19	crucial	crucial	ADJ
aiti-14034	9	20	for	for	ADP
aiti-14034	9	21	effective	effective	ADJ
aiti-14034	9	22	patient	patient	ADJ
aiti-14034	9	23	management	management	NOUN
aiti-14034	9	24	in	in	ADP
aiti-14034	9	25	cardiovascular	cardiovascular	ADJ
aiti-14034	9	26	diseases	disease	NOUN
aiti-14034	9	27	.	.	PUNCT
aiti-14034	10	1	keywords	keyword	NOUN
aiti-14034	10	2	:	:	PUNCT
aiti-14034	10	3	arrhythmia	arrhythmia	NOUN
aiti-14034	10	4	diagnosis	diagnosis	NOUN
aiti-14034	10	5	,	,	PUNCT
aiti-14034	10	6	electrocardiogram	electrocardiogram	NOUN
aiti-14034	10	7	(	(	PUNCT
aiti-14034	10	8	ecg	ecg	PROPN
aiti-14034	10	9	)	)	PUNCT
aiti-14034	10	10	,	,	PUNCT
aiti-14034	10	11	deep	deep	ADJ
aiti-14034	10	12	convolutional	convolutional	ADJ
aiti-14034	10	13	network	network	NOUN
aiti-14034	10	14	(	(	PUNCT
aiti-14034	10	15	dcnn	dcnn	PROPN
aiti-14034	10	16	)	)	PUNCT
aiti-14034	10	17	,	,	PUNCT
aiti-14034	10	18	selective	selective	ADJ
aiti-14034	10	19	attention	attention	NOUN
aiti-14034	10	20	mechanism	mechanism	NOUN
aiti-14034	10	21	(	(	PUNCT
aiti-14034	10	22	sam	sam	PROPN
aiti-14034	10	23	)	)	PUNCT
aiti-14034	10	24	1	1	NUM
aiti-14034	10	25	.	.	X
aiti-14034	11	1	introduction	introduction	NOUN
aiti-14034	11	2	cardiovascular	cardiovascular	ADJ
aiti-14034	11	3	diseases	disease	NOUN
aiti-14034	11	4	constitute	constitute	VERB
aiti-14034	11	5	the	the	DET
aiti-14034	11	6	leading	lead	VERB
aiti-14034	11	7	cause	cause	NOUN
aiti-14034	11	8	of	of	ADP
aiti-14034	11	9	death	death	NOUN
aiti-14034	11	10	globally	globally	ADV
aiti-14034	12	1	[	[	X
aiti-14034	12	2	1	1	NUM
aiti-14034	12	3	]	]	PUNCT
aiti-14034	12	4	,	,	PUNCT
aiti-14034	12	5	and	and	CCONJ
aiti-14034	12	6	the	the	DET
aiti-14034	12	7	world	world	PROPN
aiti-14034	12	8	health	health	NOUN
aiti-14034	12	9	organization	organization	NOUN
aiti-14034	12	10	(	(	PUNCT
aiti-14034	12	11	who	who	PRON
aiti-14034	12	12	)	)	PUNCT
aiti-14034	12	13	has	have	AUX
aiti-14034	12	14	listed	list	VERB
aiti-14034	12	15	them	they	PRON
aiti-14034	12	16	as	as	ADP
aiti-14034	12	17	the	the	DET
aiti-14034	12	18	cause	cause	NOUN
aiti-14034	12	19	of	of	ADP
aiti-14034	12	20	the	the	DET
aiti-14034	12	21	maximum	maximum	ADJ
aiti-14034	12	22	number	number	NOUN
aiti-14034	12	23	of	of	ADP
aiti-14034	12	24	deaths	death	NOUN
aiti-14034	12	25	worldwide	worldwide	ADV
aiti-14034	12	26	,	,	PUNCT
aiti-14034	12	27	accounting	account	VERB
aiti-14034	12	28	for	for	ADP
aiti-14034	12	29	about	about	ADV
aiti-14034	12	30	31	31	NUM
aiti-14034	12	31	%	%	NOUN
aiti-14034	12	32	of	of	ADP
aiti-14034	12	33	all	all	DET
aiti-14034	12	34	deaths	death	NOUN
aiti-14034	12	35	every	every	DET
aiti-14034	12	36	year	year	NOUN
aiti-14034	12	37	[	[	X
aiti-14034	12	38	2	2	NUM
aiti-14034	12	39	]	]	PUNCT
aiti-14034	12	40	.	.	PUNCT
aiti-14034	13	1	cardiac	cardiac	ADJ
aiti-14034	13	2	arrhythmia	arrhythmia	NOUN
aiti-14034	13	3	is	be	AUX
aiti-14034	13	4	a	a	DET
aiti-14034	13	5	condition	condition	NOUN
aiti-14034	13	6	in	in	ADP
aiti-14034	13	7	which	which	PRON
aiti-14034	13	8	the	the	DET
aiti-14034	13	9	heartbeat	heartbeat	NOUN
aiti-14034	13	10	becomes	become	VERB
aiti-14034	13	11	irregular	irregular	ADJ
aiti-14034	13	12	due	due	ADP
aiti-14034	13	13	to	to	ADP
aiti-14034	13	14	some	some	DET
aiti-14034	13	15	fault	fault	NOUN
aiti-14034	13	16	in	in	ADP
aiti-14034	13	17	the	the	DET
aiti-14034	13	18	electrical	electrical	ADJ
aiti-14034	13	19	system	system	NOUN
aiti-14034	13	20	of	of	ADP
aiti-14034	13	21	the	the	DET
aiti-14034	13	22	heart	heart	NOUN
aiti-14034	13	23	.	.	PUNCT
aiti-14034	14	1	an	an	DET
aiti-14034	14	2	electrocardiogram	electrocardiogram	NOUN
aiti-14034	14	3	(	(	PUNCT
aiti-14034	14	4	ecg	ecg	PROPN
aiti-14034	14	5	)	)	PUNCT
aiti-14034	14	6	is	be	AUX
aiti-14034	14	7	an	an	DET
aiti-14034	14	8	established	establish	VERB
aiti-14034	14	9	diagnostic	diagnostic	ADJ
aiti-14034	14	10	tool	tool	NOUN
aiti-14034	14	11	for	for	ADP
aiti-14034	14	12	cardiac	cardiac	ADJ
aiti-14034	14	13	arrhythmias	arrhythmia	NOUN
aiti-14034	14	14	since	since	SCONJ
aiti-14034	14	15	it	it	PRON
aiti-14034	14	16	captures	capture	VERB
aiti-14034	14	17	the	the	DET
aiti-14034	14	18	heart	heart	NOUN
aiti-14034	14	19	's	's	PART
aiti-14034	14	20	physiological	physiological	ADJ
aiti-14034	14	21	activity	activity	NOUN
aiti-14034	14	22	over	over	ADP
aiti-14034	14	23	time	time	NOUN
aiti-14034	14	24	[	[	X
aiti-14034	14	25	3	3	NUM
aiti-14034	14	26	]	]	PUNCT
aiti-14034	14	27	.	.	PUNCT
aiti-14034	15	1	global	global	ADJ
aiti-14034	15	2	annual	annual	ADJ
aiti-14034	15	3	ecg	ecg	PROPN
aiti-14034	15	4	recordings	recording	NOUN
aiti-14034	15	5	exceed	exceed	VERB
aiti-14034	15	6	300	300	NUM
aiti-14034	15	7	million	million	NUM
aiti-14034	15	8	and	and	CCONJ
aiti-14034	15	9	are	be	AUX
aiti-14034	15	10	projected	project	VERB
aiti-14034	15	11	to	to	PART
aiti-14034	15	12	increase	increase	VERB
aiti-14034	15	13	.	.	PUNCT
aiti-14034	16	1	the	the	DET
aiti-14034	16	2	popularity	popularity	NOUN
aiti-14034	16	3	of	of	ADP
aiti-14034	16	4	ecg	ecg	PROPN
aiti-14034	16	5	stems	stem	VERB
aiti-14034	16	6	from	from	ADP
aiti-14034	16	7	its	its	PRON
aiti-14034	16	8	simplicity	simplicity	NOUN
aiti-14034	16	9	,	,	PUNCT
aiti-14034	16	10	affordability	affordability	NOUN
aiti-14034	16	11	,	,	PUNCT
aiti-14034	16	12	non	non	ADJ
aiti-14034	16	13	-	-	ADJ
aiti-14034	16	14	invasiveness	invasiveness	ADJ
aiti-14034	16	15	,	,	PUNCT
aiti-14034	16	16	and	and	CCONJ
aiti-14034	16	17	ability	ability	NOUN
aiti-14034	16	18	to	to	PART
aiti-14034	16	19	provide	provide	VERB
aiti-14034	16	20	valuable	valuable	ADJ
aiti-14034	16	21	information	information	NOUN
aiti-14034	16	22	about	about	ADP
aiti-14034	16	23	the	the	DET
aiti-14034	16	24	heart	heart	NOUN
aiti-14034	16	25	's	's	PART
aiti-14034	16	26	electrical	electrical	ADJ
aiti-14034	16	27	activity	activity	NOUN
aiti-14034	16	28	,	,	PUNCT
aiti-14034	16	29	heart	heart	NOUN
aiti-14034	16	30	rate	rate	NOUN
aiti-14034	16	31	,	,	PUNCT
aiti-14034	16	32	and	and	CCONJ
aiti-14034	16	33	the	the	DET
aiti-14034	16	34	presence	presence	NOUN
aiti-14034	16	35	of	of	ADP
aiti-14034	16	36	conditions	condition	NOUN
aiti-14034	16	37	like	like	ADP
aiti-14034	16	38	arrhythmias	arrhythmia	NOUN
aiti-14034	16	39	or	or	CCONJ
aiti-14034	16	40	heart	heart	NOUN
aiti-14034	16	41	attacks	attack	NOUN
aiti-14034	16	42	[	[	X
aiti-14034	16	43	4	4	NUM
aiti-14034	16	44	]	]	PUNCT
aiti-14034	16	45	.	.	PUNCT
aiti-14034	17	1	ecg	ecg	PROPN
aiti-14034	17	2	tests	test	NOUN
aiti-14034	17	3	are	be	AUX
aiti-14034	17	4	painless	painless	ADJ
aiti-14034	17	5	,	,	PUNCT
aiti-14034	17	6	easy	easy	ADJ
aiti-14034	17	7	,	,	PUNCT
aiti-14034	17	8	quick	quick	ADJ
aiti-14034	17	9	to	to	PART
aiti-14034	17	10	perform	perform	VERB
aiti-14034	17	11	,	,	PUNCT
aiti-14034	17	12	and	and	CCONJ
aiti-14034	17	13	can	can	AUX
aiti-14034	17	14	be	be	AUX
aiti-14034	17	15	repeated	repeat	VERB
aiti-14034	17	16	to	to	PART
aiti-14034	17	17	monitor	monitor	VERB
aiti-14034	17	18	the	the	DET
aiti-14034	17	19	progress	progress	NOUN
aiti-14034	17	20	of	of	ADP
aiti-14034	17	21	certain	certain	ADJ
aiti-14034	17	22	conditions	condition	NOUN
aiti-14034	17	23	.	.	PUNCT
aiti-14034	18	1	fig	fig	NOUN
aiti-14034	18	2	.	.	PUNCT
aiti-14034	19	1	1	1	NUM
aiti-14034	19	2	shows	show	VERB
aiti-14034	19	3	the	the	DET
aiti-14034	19	4	ecg	ecg	PROPN
aiti-14034	19	5	heart	heart	NOUN
aiti-14034	19	6	cycle	cycle	NOUN
aiti-14034	20	1	[	[	X
aiti-14034	20	2	5	5	NUM
aiti-14034	20	3	]	]	PUNCT
aiti-14034	20	4	.	.	PUNCT
aiti-14034	21	1	the	the	DET
aiti-14034	21	2	main	main	ADJ
aiti-14034	21	3	part	part	NOUN
aiti-14034	21	4	of	of	ADP
aiti-14034	21	5	an	an	DET
aiti-14034	21	6	ecg	ecg	PROPN
aiti-14034	21	7	contains	contain	VERB
aiti-14034	21	8	a	a	DET
aiti-14034	21	9	p	p	NOUN
aiti-14034	21	10	wave	wave	NOUN
aiti-14034	21	11	,	,	PUNCT
aiti-14034	21	12	a	a	DET
aiti-14034	21	13	qrs	qrs	NOUN
aiti-14034	21	14	complex	complex	NOUN
aiti-14034	21	15	,	,	PUNCT
aiti-14034	21	16	and	and	CCONJ
aiti-14034	21	17	a	a	DET
aiti-14034	21	18	t	t	NOUN
aiti-14034	21	19	wave	wave	NOUN
aiti-14034	21	20	.	.	PUNCT
aiti-14034	22	1	the	the	DET
aiti-14034	22	2	p	p	PROPN
aiti-14034	22	3	wave	wave	NOUN
aiti-14034	22	4	indicates	indicate	VERB
aiti-14034	22	5	atrial	atrial	ADJ
aiti-14034	22	6	depolarization	depolarization	NOUN
aiti-14034	22	7	.	.	PUNCT
aiti-14034	23	1	the	the	DET
aiti-14034	23	2	qrs	qrs	PROPN
aiti-14034	23	3	complex	complex	PROPN
aiti-14034	23	4	consists	consist	VERB
aiti-14034	23	5	of	of	ADP
aiti-14034	23	6	a	a	DET
aiti-14034	23	7	q	q	NOUN
aiti-14034	23	8	wave	wave	NOUN
aiti-14034	23	9	,	,	PUNCT
aiti-14034	23	10	r	r	NOUN
aiti-14034	23	11	wave	wave	NOUN
aiti-14034	23	12	,	,	PUNCT
aiti-14034	23	13	and	and	CCONJ
aiti-14034	23	14	s	s	VERB
aiti-14034	23	15	wave	wave	NOUN
aiti-14034	23	16	,	,	PUNCT
aiti-14034	23	17	representing	represent	VERB
aiti-14034	23	18	ventricular	ventricular	ADJ
aiti-14034	23	19	depolarization	depolarization	NOUN
aiti-14034	23	20	.	.	PUNCT
aiti-14034	24	1	the	the	DET
aiti-14034	24	2	t	t	PROPN
aiti-14034	24	3	wave	wave	NOUN
aiti-14034	24	4	comes	come	VERB
aiti-14034	24	5	after	after	ADP
aiti-14034	24	6	the	the	DET
aiti-14034	24	7	qrs	qrs	PROPN
aiti-14034	24	8	complex	complex	NOUN
aiti-14034	24	9	and	and	CCONJ
aiti-14034	24	10	indicates	indicate	VERB
aiti-14034	24	11	ventricular	ventricular	ADJ
aiti-14034	24	12	repolarization	repolarization	NOUN
aiti-14034	24	13	.	.	PUNCT
aiti-14034	25	1	structural	structural	ADJ
aiti-14034	25	2	,	,	PUNCT
aiti-14034	25	3	electrical	electrical	ADJ
aiti-14034	25	4	,	,	PUNCT
aiti-14034	25	5	and	and	CCONJ
aiti-14034	25	6	circulatory	circulatory	ADJ
aiti-14034	25	7	are	be	AUX
aiti-14034	25	8	the	the	DET
aiti-14034	25	9	three	three	NUM
aiti-14034	25	10	types	type	NOUN
aiti-14034	25	11	of	of	ADP
aiti-14034	25	12	cardiovascular	cardiovascular	ADJ
aiti-14034	25	13	systems	system	NOUN
aiti-14034	25	14	[	[	X
aiti-14034	25	15	6	6	NUM
aiti-14034	25	16	]	]	PUNCT
aiti-14034	25	17	.	.	PUNCT
aiti-14034	26	1	*	*	PUNCT
aiti-14034	26	2	corresponding	correspond	VERB
aiti-14034	26	3	author	author	NOUN
aiti-14034	26	4	.	.	PUNCT
aiti-14034	27	1	e	e	X
aiti-14034	27	2	-	-	NOUN
aiti-14034	27	3	mail	mail	NOUN
aiti-14034	27	4	address	address	NOUN
aiti-14034	27	5	:	:	PUNCT
aiti-14034	27	6	engineeralaahussein@gmail.com	engineeralaahussein@gmail.com	PROPN
aiti-14034	27	7	advances	advance	VERB
aiti-14034	27	8	in	in	ADP
aiti-14034	27	9	technology	technology	NOUN
aiti-14034	27	10	innovation	innovation	NOUN
aiti-14034	27	11	,	,	PUNCT
aiti-14034	27	12	vol	vol	NOUN
aiti-14034	27	13	.	.	PROPN
aiti-14034	28	1	10	10	NUM
aiti-14034	28	2	,	,	PUNCT
aiti-14034	28	3	no	no	INTJ
aiti-14034	28	4	.	.	NOUN
aiti-14034	28	5	2	2	NUM
aiti-14034	28	6	,	,	PUNCT
aiti-14034	28	7	2025	2025	NUM
aiti-14034	28	8	,	,	PUNCT
aiti-14034	28	9	pp	pp	ADJ
aiti-14034	28	10	.	.	PUNCT
aiti-14034	29	1	102	102	NUM
aiti-14034	29	2	-	-	SYM
aiti-14034	29	3	117	117	NUM
aiti-14034	29	4	103	103	NUM
aiti-14034	29	5	accurate	accurate	ADJ
aiti-14034	29	6	diagnosis	diagnosis	NOUN
aiti-14034	29	7	of	of	ADP
aiti-14034	29	8	the	the	DET
aiti-14034	29	9	type	type	NOUN
aiti-14034	29	10	of	of	ADP
aiti-14034	29	11	arrhythmia	arrhythmia	NOUN
aiti-14034	29	12	is	be	AUX
aiti-14034	29	13	necessary	necessary	ADJ
aiti-14034	29	14	to	to	PART
aiti-14034	29	15	select	select	VERB
aiti-14034	29	16	appropriate	appropriate	ADJ
aiti-14034	29	17	treatment	treatment	NOUN
aiti-14034	29	18	.	.	PUNCT
aiti-14034	30	1	however	however	ADV
aiti-14034	30	2	,	,	PUNCT
aiti-14034	30	3	considerable	considerable	ADJ
aiti-14034	30	4	morphological	morphological	ADJ
aiti-14034	30	5	differences	difference	NOUN
aiti-14034	30	6	exist	exist	VERB
aiti-14034	30	7	in	in	ADP
aiti-14034	30	8	the	the	DET
aiti-14034	30	9	correct	correct	ADJ
aiti-14034	30	10	manual	manual	ADJ
aiti-14034	30	11	identification	identification	NOUN
aiti-14034	30	12	of	of	ADP
aiti-14034	30	13	ecg	ecg	PROPN
aiti-14034	30	14	components	component	NOUN
aiti-14034	30	15	.	.	PUNCT
aiti-14034	31	1	moreover	moreover	ADV
aiti-14034	31	2	,	,	PUNCT
aiti-14034	31	3	visual	visual	ADJ
aiti-14034	31	4	identification	identification	NOUN
aiti-14034	31	5	,	,	PUNCT
aiti-14034	31	6	the	the	DET
aiti-14034	31	7	current	current	ADJ
aiti-14034	31	8	standard	standard	NOUN
aiti-14034	31	9	,	,	PUNCT
aiti-14034	31	10	might	might	AUX
aiti-14034	31	11	bring	bring	VERB
aiti-14034	31	12	subjective	subjective	ADJ
aiti-14034	31	13	biases	bias	NOUN
aiti-14034	31	14	between	between	ADP
aiti-14034	31	15	observers	observer	NOUN
aiti-14034	31	16	.	.	PUNCT
aiti-14034	32	1	as	as	SCONJ
aiti-14034	32	2	illustrated	illustrate	VERB
aiti-14034	32	3	in	in	ADP
aiti-14034	32	4	fig	fig	NOUN
aiti-14034	32	5	.	.	PUNCT
aiti-14034	33	1	2	2	NUM
aiti-14034	33	2	,	,	PUNCT
aiti-14034	33	3	ecg	ecg	PROPN
aiti-14034	33	4	signal	signal	PROPN
aiti-14034	33	5	classes	class	NOUN
aiti-14034	33	6	exhibit	exhibit	VERB
aiti-14034	33	7	distinct	distinct	ADJ
aiti-14034	33	8	heartbeat	heartbeat	NOUN
aiti-14034	33	9	characteristics	characteristic	NOUN
aiti-14034	33	10	and	and	CCONJ
aiti-14034	33	11	patterns	pattern	NOUN
aiti-14034	33	12	,	,	PUNCT
aiti-14034	33	13	such	such	ADJ
aiti-14034	33	14	as	as	ADP
aiti-14034	33	15	fusion	fusion	NOUN
aiti-14034	33	16	,	,	PUNCT
aiti-14034	33	17	f	f	X
aiti-14034	33	18	;	;	PUNCT
aiti-14034	33	19	normal	normal	ADJ
aiti-14034	33	20	,	,	PUNCT
aiti-14034	33	21	n	n	CCONJ
aiti-14034	33	22	;	;	PUNCT
aiti-14034	33	23	supra	supra	ADJ
aiti-14034	33	24	-	-	PUNCT
aiti-14034	33	25	ventricular	ventricular	NOUN
aiti-14034	33	26	ectopic	ectopic	NOUN
aiti-14034	33	27	,	,	PUNCT
aiti-14034	33	28	s	s	X
aiti-14034	33	29	;	;	PUNCT
aiti-14034	33	30	and	and	CCONJ
aiti-14034	33	31	ventricular	ventricular	ADJ
aiti-14034	33	32	ectopic	ectopic	NOUN
aiti-14034	33	33	,	,	PUNCT
aiti-14034	33	34	v	v	NOUN
aiti-14034	33	35	,	,	PUNCT
aiti-14034	33	36	beats	beat	VERB
aiti-14034	33	37	[	[	X
aiti-14034	33	38	7	7	NUM
aiti-14034	33	39	]	]	PUNCT
aiti-14034	33	40	.	.	PUNCT
aiti-14034	34	1	in	in	ADP
aiti-14034	34	2	this	this	DET
aiti-14034	34	3	regard	regard	NOUN
aiti-14034	34	4	,	,	PUNCT
aiti-14034	34	5	researchers	researcher	NOUN
aiti-14034	34	6	have	have	AUX
aiti-14034	34	7	explored	explore	VERB
aiti-14034	34	8	alternative	alternative	ADJ
aiti-14034	34	9	methods	method	NOUN
aiti-14034	34	10	—	—	PUNCT
aiti-14034	34	11	deep	deep	ADJ
aiti-14034	34	12	learning	learning	NOUN
aiti-14034	34	13	being	be	AUX
aiti-14034	34	14	one	one	NUM
aiti-14034	34	15	—	—	PUNCT
aiti-14034	34	16	to	to	PART
aiti-14034	34	17	remove	remove	VERB
aiti-14034	34	18	visual	visual	ADJ
aiti-14034	34	19	and	and	CCONJ
aiti-14034	34	20	manual	manual	ADJ
aiti-14034	34	21	interpretations	interpretation	NOUN
aiti-14034	34	22	.	.	PUNCT
aiti-14034	35	1	fig	fig	NOUN
aiti-14034	35	2	.	.	PUNCT
aiti-14034	36	1	1	1	NUM
aiti-14034	36	2	ecg	ecg	PROPN
aiti-14034	36	3	heart	heart	NOUN
aiti-14034	36	4	cycles	cycle	NOUN
aiti-14034	36	5	[	[	X
aiti-14034	36	6	5	5	NUM
aiti-14034	36	7	]	]	PUNCT
aiti-14034	36	8	fig	fig	NOUN
aiti-14034	36	9	.	.	PUNCT
aiti-14034	37	1	2	2	NUM
aiti-14034	37	2	heartbeat	heartbeat	NOUN
aiti-14034	37	3	ecg	ecg	PROPN
aiti-14034	37	4	patterns	pattern	NOUN
aiti-14034	37	5	[	[	X
aiti-14034	37	6	7	7	X
aiti-14034	37	7	]	]	PUNCT
aiti-14034	37	8	traditionally	traditionally	ADV
aiti-14034	37	9	,	,	PUNCT
aiti-14034	37	10	clinicians	clinician	NOUN
aiti-14034	37	11	diagnose	diagnose	VERB
aiti-14034	37	12	arrhythmias	arrhythmia	NOUN
aiti-14034	37	13	through	through	ADP
aiti-14034	37	14	manual	manual	ADJ
aiti-14034	37	15	analysis	analysis	NOUN
aiti-14034	37	16	of	of	ADP
aiti-14034	37	17	ecg	ecg	PROPN
aiti-14034	37	18	signals	signal	NOUN
aiti-14034	37	19	,	,	PUNCT
aiti-14034	37	20	which	which	PRON
aiti-14034	37	21	can	can	AUX
aiti-14034	37	22	be	be	AUX
aiti-14034	37	23	time	time	NOUN
aiti-14034	37	24	-	-	PUNCT
aiti-14034	37	25	consuming	consume	VERB
aiti-14034	37	26	and	and	CCONJ
aiti-14034	37	27	susceptible	susceptible	ADJ
aiti-14034	37	28	to	to	ADP
aiti-14034	37	29	human	human	ADJ
aiti-14034	37	30	error	error	NOUN
aiti-14034	37	31	.	.	PUNCT
aiti-14034	38	1	these	these	DET
aiti-14034	38	2	methods	method	NOUN
aiti-14034	38	3	often	often	ADV
aiti-14034	38	4	lack	lack	VERB
aiti-14034	38	5	the	the	DET
aiti-14034	38	6	precision	precision	NOUN
aiti-14034	38	7	and	and	CCONJ
aiti-14034	38	8	efficiency	efficiency	NOUN
aiti-14034	38	9	needed	need	VERB
aiti-14034	38	10	for	for	ADP
aiti-14034	38	11	large	large	ADJ
aiti-14034	38	12	-	-	PUNCT
aiti-14034	38	13	scale	scale	NOUN
aiti-14034	38	14	screenings	screening	NOUN
aiti-14034	38	15	.	.	PUNCT
aiti-14034	39	1	deep	deep	ADJ
aiti-14034	39	2	learning	learning	NOUN
aiti-14034	39	3	(	(	PUNCT
aiti-14034	39	4	dl	dl	INTJ
aiti-14034	39	5	)	)	PUNCT
aiti-14034	39	6	offers	offer	VERB
aiti-14034	39	7	a	a	DET
aiti-14034	39	8	promising	promising	ADJ
aiti-14034	39	9	alternative	alternative	NOUN
aiti-14034	39	10	to	to	ADP
aiti-14034	39	11	cardiac	cardiac	ADJ
aiti-14034	39	12	arrhythmia	arrhythmia	NOUN
aiti-14034	39	13	classification	classification	NOUN
aiti-14034	39	14	,	,	PUNCT
aiti-14034	39	15	as	as	SCONJ
aiti-14034	39	16	it	it	PRON
aiti-14034	39	17	can	can	AUX
aiti-14034	39	18	automatically	automatically	ADV
aiti-14034	39	19	learn	learn	VERB
aiti-14034	39	20	significant	significant	ADJ
aiti-14034	39	21	features	feature	NOUN
aiti-14034	39	22	and	and	CCONJ
aiti-14034	39	23	class	class	NOUN
aiti-14034	39	24	distinction	distinction	NOUN
aiti-14034	39	25	[	[	X
aiti-14034	39	26	8	8	NUM
aiti-14034	39	27	]	]	PUNCT
aiti-14034	39	28	.	.	PUNCT
aiti-14034	40	1	dl	dl	PROPN
aiti-14034	40	2	has	have	VERB
aiti-14034	40	3	advantages	advantage	NOUN
aiti-14034	40	4	in	in	ADP
aiti-14034	40	5	handling	handle	VERB
aiti-14034	40	6	massive	massive	ADJ
aiti-14034	40	7	and	and	CCONJ
aiti-14034	40	8	noisy	noisy	ADJ
aiti-14034	40	9	datasets	dataset	NOUN
aiti-14034	40	10	,	,	PUNCT
aiti-14034	40	11	automatically	automatically	ADV
aiti-14034	40	12	reducing	reduce	VERB
aiti-14034	40	13	features	feature	NOUN
aiti-14034	40	14	,	,	PUNCT
aiti-14034	40	15	and	and	CCONJ
aiti-14034	40	16	finding	find	VERB
aiti-14034	40	17	applications	application	NOUN
aiti-14034	40	18	in	in	ADP
aiti-14034	40	19	different	different	ADJ
aiti-14034	40	20	domains	domain	NOUN
aiti-14034	40	21	.	.	PUNCT
aiti-14034	41	1	the	the	DET
aiti-14034	41	2	automatic	automatic	ADJ
aiti-14034	41	3	detection	detection	NOUN
aiti-14034	41	4	of	of	ADP
aiti-14034	41	5	cardiac	cardiac	ADJ
aiti-14034	41	6	arrhythmia	arrhythmia	NOUN
aiti-14034	41	7	has	have	AUX
aiti-14034	41	8	been	be	AUX
aiti-14034	41	9	the	the	DET
aiti-14034	41	10	topic	topic	NOUN
aiti-14034	41	11	of	of	ADP
aiti-14034	41	12	many	many	ADJ
aiti-14034	41	13	researchers	researcher	NOUN
aiti-14034	41	14	over	over	ADP
aiti-14034	41	15	the	the	DET
aiti-14034	41	16	past	past	ADJ
aiti-14034	41	17	decades	decade	NOUN
aiti-14034	41	18	.	.	PUNCT
aiti-14034	42	1	most	most	ADJ
aiti-14034	42	2	of	of	ADP
aiti-14034	42	3	them	they	PRON
aiti-14034	42	4	use	use	VERB
aiti-14034	42	5	the	the	DET
aiti-14034	42	6	mit	mit	VERB
aiti-14034	42	7	-	-	PUNCT
aiti-14034	42	8	bih	bih	NOUN
aiti-14034	42	9	arrhythmia	arrhythmia	NOUN
aiti-14034	42	10	dataset	dataset	VERB
aiti-14034	43	1	[	[	PUNCT
aiti-14034	43	2	9	9	NUM
aiti-14034	43	3	]	]	PUNCT
aiti-14034	43	4	and	and	CCONJ
aiti-14034	43	5	the	the	DET
aiti-14034	43	6	physikalisch	physikalisch	ADJ
aiti-14034	43	7	technische	technische	PROPN
aiti-14034	43	8	bundesanstalt(ptb	bundesanstalt(ptb	PROPN
aiti-14034	43	9	)	)	PUNCT
aiti-14034	43	10	diagnostic	diagnostic	ADJ
aiti-14034	43	11	ecg	ecg	PROPN
aiti-14034	43	12	database	database	NOUN
aiti-14034	44	1	[	[	X
aiti-14034	44	2	10	10	NUM
aiti-14034	44	3	]	]	PUNCT
aiti-14034	44	4	,	,	PUNCT
aiti-14034	44	5	which	which	PRON
aiti-14034	44	6	are	be	AUX
aiti-14034	44	7	publicly	publicly	ADV
aiti-14034	44	8	available	available	ADJ
aiti-14034	44	9	and	and	CCONJ
aiti-14034	44	10	represent	represent	VERB
aiti-14034	44	11	the	the	DET
aiti-14034	44	12	most	most	ADV
aiti-14034	44	13	frequently	frequently	ADV
aiti-14034	44	14	used	use	VERB
aiti-14034	44	15	database	database	NOUN
aiti-14034	44	16	in	in	ADP
aiti-14034	44	17	arrhythmia	arrhythmia	NOUN
aiti-14034	44	18	research	research	NOUN
aiti-14034	44	19	.	.	PUNCT
aiti-14034	45	1	to	to	PART
aiti-14034	45	2	achieve	achieve	VERB
aiti-14034	45	3	this	this	PRON
aiti-14034	45	4	,	,	PUNCT
aiti-14034	45	5	deep	deep	ADJ
aiti-14034	45	6	genetic	genetic	ADJ
aiti-14034	45	7	hybrid	hybrid	ADJ
aiti-14034	45	8	classifiers	classifier	NOUN
aiti-14034	45	9	were	be	AUX
aiti-14034	45	10	used	use	VERB
aiti-14034	45	11	by	by	ADP
aiti-14034	45	12	[	[	PUNCT
aiti-14034	45	13	11	11	NUM
aiti-14034	45	14	-	-	SYM
aiti-14034	45	15	12	12	NUM
aiti-14034	45	16	]	]	PUNCT
aiti-14034	45	17	in	in	ADP
aiti-14034	45	18	diagnosing	diagnose	VERB
aiti-14034	45	19	the	the	DET
aiti-14034	45	20	arrhythmias	arrhythmia	NOUN
aiti-14034	45	21	from	from	ADP
aiti-14034	45	22	the	the	DET
aiti-14034	45	23	long	long	ADJ
aiti-14034	45	24	-	-	PUNCT
aiti-14034	45	25	term	term	NOUN
aiti-14034	45	26	ecg	ecg	PROPN
aiti-14034	45	27	data	datum	NOUN
aiti-14034	45	28	in	in	ADP
aiti-14034	45	29	the	the	DET
aiti-14034	45	30	mit	mit	VERB
aiti-14034	45	31	-	-	PUNCT
aiti-14034	45	32	bih	bih	NOUN
aiti-14034	45	33	database	database	NOUN
aiti-14034	45	34	with	with	ADP
aiti-14034	45	35	an	an	DET
aiti-14034	45	36	accuracy	accuracy	NOUN
aiti-14034	45	37	of	of	ADP
aiti-14034	45	38	94.6	94.6	NUM
aiti-14034	45	39	%	%	NOUN
aiti-14034	45	40	.	.	PUNCT
aiti-14034	46	1	the	the	DET
aiti-14034	46	2	proposed	propose	VERB
aiti-14034	46	3	approach	approach	NOUN
aiti-14034	46	4	addresses	address	VERB
aiti-14034	46	5	the	the	DET
aiti-14034	46	6	deficiencies	deficiency	NOUN
aiti-14034	46	7	by	by	ADP
aiti-14034	46	8	including	include	VERB
aiti-14034	46	9	a	a	DET
aiti-14034	46	10	deep	deep	ADJ
aiti-14034	46	11	convolutional	convolutional	ADJ
aiti-14034	46	12	neural	neural	ADJ
aiti-14034	46	13	network	network	NOUN
aiti-14034	46	14	along	along	ADP
aiti-14034	46	15	with	with	ADP
aiti-14034	46	16	a	a	DET
aiti-14034	46	17	selective	selective	ADJ
aiti-14034	46	18	attention	attention	NOUN
aiti-14034	46	19	mechanism	mechanism	NOUN
aiti-14034	46	20	.	.	PUNCT
aiti-14034	47	1	this	this	PRON
aiti-14034	47	2	allows	allow	VERB
aiti-14034	47	3	the	the	DET
aiti-14034	47	4	model	model	NOUN
aiti-14034	47	5	to	to	PART
aiti-14034	47	6	capture	capture	VERB
aiti-14034	47	7	more	more	ADV
aiti-14034	47	8	relevant	relevant	ADJ
aiti-14034	47	9	features	feature	NOUN
aiti-14034	47	10	from	from	ADP
aiti-14034	47	11	the	the	DET
aiti-14034	47	12	ecg	ecg	PROPN
aiti-14034	47	13	signals	signal	NOUN
aiti-14034	47	14	,	,	PUNCT
aiti-14034	47	15	thereby	thereby	ADV
aiti-14034	47	16	improving	improve	VERB
aiti-14034	47	17	classification	classification	NOUN
aiti-14034	47	18	accuracy	accuracy	NOUN
aiti-14034	47	19	and	and	CCONJ
aiti-14034	47	20	speed	speed	NOUN
aiti-14034	47	21	.	.	PUNCT
aiti-14034	48	1	it	it	PRON
aiti-14034	48	2	leverages	leverage	VERB
aiti-14034	48	3	state	state	NOUN
aiti-14034	48	4	-	-	PUNCT
aiti-14034	48	5	of	of	ADP
aiti-14034	48	6	-	-	PUNCT
aiti-14034	48	7	the	the	DET
aiti-14034	48	8	-	-	PUNCT
aiti-14034	48	9	art	art	NOUN
aiti-14034	48	10	feature	feature	NOUN
aiti-14034	48	11	extraction	extraction	NOUN
aiti-14034	48	12	with	with	ADP
aiti-14034	48	13	pre	pre	ADJ
aiti-14034	48	14	-	-	ADJ
aiti-14034	48	15	trained	train	VERB
aiti-14034	48	16	models	model	NOUN
aiti-14034	48	17	like	like	ADP
aiti-14034	48	18	resnet-50	resnet-50	ADJ
aiti-14034	48	19	and	and	CCONJ
aiti-14034	48	20	visual	visual	ADJ
aiti-14034	48	21	geometry	geometry	NOUN
aiti-14034	48	22	group	group	NOUN
aiti-14034	48	23	(	(	PUNCT
aiti-14034	48	24	vgg19	vgg19	PROPN
aiti-14034	48	25	)	)	PUNCT
aiti-14034	48	26	,	,	PUNCT
aiti-14034	48	27	reducing	reduce	VERB
aiti-14034	48	28	the	the	DET
aiti-14034	48	29	need	need	NOUN
aiti-14034	48	30	for	for	ADP
aiti-14034	48	31	manual	manual	ADJ
aiti-14034	48	32	intervention	intervention	NOUN
aiti-14034	48	33	and	and	CCONJ
aiti-14034	48	34	improving	improve	VERB
aiti-14034	48	35	model	model	NOUN
aiti-14034	48	36	generalization	generalization	NOUN
aiti-14034	48	37	.	.	PUNCT
aiti-14034	49	1	this	this	DET
aiti-14034	49	2	method	method	NOUN
aiti-14034	49	3	significantly	significantly	ADV
aiti-14034	49	4	outperforms	outperform	VERB
aiti-14034	49	5	traditional	traditional	ADJ
aiti-14034	49	6	algorithms	algorithm	NOUN
aiti-14034	49	7	,	,	PUNCT
aiti-14034	49	8	offering	offer	VERB
aiti-14034	49	9	a	a	DET
aiti-14034	49	10	more	more	ADV
aiti-14034	49	11	reliable	reliable	ADJ
aiti-14034	49	12	and	and	CCONJ
aiti-14034	49	13	scalable	scalable	ADJ
aiti-14034	49	14	solution	solution	NOUN
aiti-14034	49	15	for	for	ADP
aiti-14034	49	16	arrhythmia	arrhythmia	NOUN
aiti-14034	49	17	diagnosis	diagnosis	NOUN
aiti-14034	49	18	.	.	PUNCT
aiti-14034	50	1	2	2	X
aiti-14034	50	2	.	.	X
aiti-14034	50	3	literature	literature	NOUN
aiti-14034	50	4	review	review	PROPN
aiti-14034	50	5	since	since	SCONJ
aiti-14034	50	6	ecg	ecg	PROPN
aiti-14034	50	7	signals	signal	NOUN
aiti-14034	50	8	are	be	AUX
aiti-14034	50	9	nonlinear	nonlinear	ADJ
aiti-14034	50	10	,	,	PUNCT
aiti-14034	50	11	variations	variation	NOUN
aiti-14034	50	12	in	in	ADP
aiti-14034	50	13	real	real	ADJ
aiti-14034	50	14	-	-	PUNCT
aiti-14034	50	15	life	life	NOUN
aiti-14034	50	16	signals	signal	NOUN
aiti-14034	50	17	can	can	AUX
aiti-14034	50	18	be	be	AUX
aiti-14034	50	19	detected	detect	VERB
aiti-14034	50	20	using	use	VERB
aiti-14034	50	21	higher	high	ADJ
aiti-14034	50	22	-	-	PUNCT
aiti-14034	50	23	order	order	NOUN
aiti-14034	50	24	statistical	statistical	ADJ
aiti-14034	50	25	methods	method	NOUN
aiti-14034	50	26	like	like	ADP
aiti-14034	50	27	the	the	DET
aiti-14034	50	28	nonlinear	nonlinear	ADJ
aiti-14034	50	29	dynamic	dynamic	ADJ
aiti-14034	50	30	method	method	NOUN
aiti-14034	50	31	[	[	X
aiti-14034	50	32	13	13	NUM
aiti-14034	50	33	]	]	PUNCT
aiti-14034	50	34	.	.	PUNCT
aiti-14034	51	1	principal	principal	ADJ
aiti-14034	51	2	component	component	NOUN
aiti-14034	51	3	analysis	analysis	NOUN
aiti-14034	51	4	reduces	reduce	VERB
aiti-14034	51	5	the	the	DET
aiti-14034	51	6	dimensionality	dimensionality	NOUN
aiti-14034	51	7	of	of	ADP
aiti-14034	51	8	the	the	DET
aiti-14034	51	9	derived	derive	VERB
aiti-14034	51	10	bispectrum	bispectrum	NOUN
aiti-14034	51	11	advances	advance	NOUN
aiti-14034	51	12	in	in	ADP
aiti-14034	51	13	technology	technology	NOUN
aiti-14034	51	14	innovation	innovation	NOUN
aiti-14034	51	15	,	,	PUNCT
aiti-14034	51	16	vol	vol	NOUN
aiti-14034	51	17	.	.	PROPN
aiti-14034	52	1	10	10	NUM
aiti-14034	52	2	,	,	PUNCT
aiti-14034	52	3	no	no	INTJ
aiti-14034	52	4	.	.	NOUN
aiti-14034	52	5	2	2	NUM
aiti-14034	52	6	,	,	PUNCT
aiti-14034	52	7	2025	2025	NUM
aiti-14034	52	8	,	,	PUNCT
aiti-14034	52	9	pp	pp	ADJ
aiti-14034	52	10	.	.	PUNCT
aiti-14034	53	1	102	102	NUM
aiti-14034	53	2	-	-	SYM
aiti-14034	53	3	117	117	NUM
aiti-14034	53	4	104	104	NUM
aiti-14034	53	5	features	feature	NOUN
aiti-14034	53	6	.	.	PUNCT
aiti-14034	54	1	from	from	ADP
aiti-14034	54	2	these	these	DET
aiti-14034	54	3	reduced	reduce	VERB
aiti-14034	54	4	features	feature	NOUN
aiti-14034	54	5	,	,	PUNCT
aiti-14034	54	6	a	a	DET
aiti-14034	54	7	least	least	ADJ
aiti-14034	54	8	squares	square	NOUN
aiti-14034	54	9	-	-	PUNCT
aiti-14034	54	10	support	support	NOUN
aiti-14034	54	11	vector	vector	NOUN
aiti-14034	54	12	machine	machine	NOUN
aiti-14034	54	13	and	and	CCONJ
aiti-14034	54	14	a	a	DET
aiti-14034	54	15	four	four	NUM
aiti-14034	54	16	-	-	PUNCT
aiti-14034	54	17	layer	layer	NOUN
aiti-14034	54	18	feed	feed	NOUN
aiti-14034	54	19	-	-	PUNCT
aiti-14034	54	20	forward	forward	NOUN
aiti-14034	54	21	neural	neural	ADJ
aiti-14034	54	22	network	network	NOUN
aiti-14034	54	23	are	be	AUX
aiti-14034	54	24	used	use	VERB
aiti-14034	54	25	for	for	ADP
aiti-14034	54	26	automatic	automatic	ADJ
aiti-14034	54	27	pattern	pattern	NOUN
aiti-14034	54	28	recognition	recognition	NOUN
aiti-14034	54	29	.	.	PUNCT
aiti-14034	55	1	this	this	DET
aiti-14034	55	2	approach	approach	NOUN
aiti-14034	55	3	achieved	achieve	VERB
aiti-14034	55	4	the	the	DET
aiti-14034	55	5	highest	high	ADJ
aiti-14034	55	6	average	average	ADJ
aiti-14034	55	7	accuracy	accuracy	NOUN
aiti-14034	55	8	among	among	ADP
aiti-14034	55	9	the	the	DET
aiti-14034	55	10	researchers	researcher	NOUN
aiti-14034	55	11	at	at	ADP
aiti-14034	55	12	93.48	93.48	NUM
aiti-14034	55	13	%	%	NOUN
aiti-14034	55	14	.	.	PUNCT
aiti-14034	56	1	while	while	SCONJ
aiti-14034	56	2	the	the	DET
aiti-14034	56	3	accuracy	accuracy	NOUN
aiti-14034	56	4	of	of	ADP
aiti-14034	56	5	deep	deep	ADJ
aiti-14034	56	6	convolutional	convolutional	ADJ
aiti-14034	56	7	network	network	NOUN
aiti-14034	56	8	(	(	PUNCT
aiti-14034	56	9	dcnn	dcnn	PROPN
aiti-14034	56	10	)	)	PUNCT
aiti-14034	56	11	training	training	NOUN
aiti-14034	56	12	decreases	decrease	NOUN
aiti-14034	56	13	with	with	ADP
aiti-14034	56	14	increasing	increase	VERB
aiti-14034	56	15	network	network	NOUN
aiti-14034	56	16	depth	depth	NOUN
aiti-14034	56	17	,	,	PUNCT
aiti-14034	56	18	[	[	X
aiti-14034	56	19	14	14	NUM
aiti-14034	56	20	]	]	PUNCT
aiti-14034	56	21	has	have	AUX
aiti-14034	56	22	reported	report	VERB
aiti-14034	56	23	an	an	DET
aiti-14034	56	24	accuracy	accuracy	NOUN
aiti-14034	56	25	of	of	ADP
aiti-14034	56	26	97.5	97.5	NUM
aiti-14034	56	27	%	%	NOUN
aiti-14034	56	28	using	use	VERB
aiti-14034	56	29	only	only	ADV
aiti-14034	56	30	a	a	DET
aiti-14034	56	31	simple	simple	ADJ
aiti-14034	56	32	convolutional	convolutional	ADJ
aiti-14034	56	33	neural	neural	ADJ
aiti-14034	56	34	network	network	NOUN
aiti-14034	56	35	(	(	PUNCT
aiti-14034	56	36	cnn	cnn	PROPN
aiti-14034	56	37	)	)	PUNCT
aiti-14034	56	38	model	model	NOUN
aiti-14034	56	39	with	with	ADP
aiti-14034	56	40	five	five	NUM
aiti-14034	56	41	layers	layer	NOUN
aiti-14034	56	42	.	.	PUNCT
aiti-14034	57	1	this	this	DET
aiti-14034	57	2	technology	technology	NOUN
aiti-14034	57	3	worked	work	VERB
aiti-14034	57	4	on	on	ADP
aiti-14034	57	5	the	the	DET
aiti-14034	57	6	principle	principle	NOUN
aiti-14034	57	7	of	of	ADP
aiti-14034	57	8	wavelet	wavelet	NOUN
aiti-14034	57	9	transform	transform	NOUN
aiti-14034	57	10	based	base	VERB
aiti-14034	57	11	on	on	ADP
aiti-14034	57	12	quadratic	quadratic	ADJ
aiti-14034	57	13	waves	wave	NOUN
aiti-14034	57	14	for	for	ADP
aiti-14034	57	15	identifying	identify	VERB
aiti-14034	57	16	individual	individual	ADJ
aiti-14034	57	17	ecg	ecg	PROPN
aiti-14034	57	18	waveforms	waveform	NOUN
aiti-14034	57	19	and	and	CCONJ
aiti-14034	57	20	generating	generate	VERB
aiti-14034	57	21	a	a	DET
aiti-14034	57	22	fiduciary	fiduciary	ADJ
aiti-14034	57	23	marker	marker	NOUN
aiti-14034	57	24	array	array	NOUN
aiti-14034	57	25	.	.	PUNCT
aiti-14034	58	1	data	datum	NOUN
aiti-14034	58	2	classification	classification	NOUN
aiti-14034	58	3	was	be	AUX
aiti-14034	58	4	performed	perform	VERB
aiti-14034	58	5	using	use	VERB
aiti-14034	58	6	a	a	DET
aiti-14034	58	7	probabilistic	probabilistic	ADJ
aiti-14034	58	8	neural	neural	ADJ
aiti-14034	58	9	network	network	NOUN
aiti-14034	58	10	with	with	ADP
aiti-14034	58	11	an	an	DET
aiti-14034	58	12	accuracy	accuracy	NOUN
aiti-14034	58	13	rate	rate	NOUN
aiti-14034	58	14	of	of	ADP
aiti-14034	58	15	92.7	92.7	NUM
aiti-14034	58	16	%	%	NOUN
aiti-14034	59	1	[	[	X
aiti-14034	59	2	15	15	NUM
aiti-14034	59	3	]	]	PUNCT
aiti-14034	59	4	.	.	PUNCT
aiti-14034	60	1	dewangan	dewangan	PROPN
aiti-14034	60	2	and	and	CCONJ
aiti-14034	60	3	shukla	shukla	NOUN
aiti-14034	61	1	[	[	X
aiti-14034	61	2	16	16	NUM
aiti-14034	61	3	]	]	X
aiti-14034	61	4	classified	classified	ADJ
aiti-14034	61	5	heartbeats	heartbeat	NOUN
aiti-14034	61	6	into	into	ADP
aiti-14034	61	7	five	five	NUM
aiti-14034	61	8	different	different	ADJ
aiti-14034	61	9	types	type	NOUN
aiti-14034	61	10	by	by	ADP
aiti-14034	61	11	employing	employ	VERB
aiti-14034	61	12	artificial	artificial	ADJ
aiti-14034	61	13	neural	neural	ADJ
aiti-14034	61	14	networks	network	NOUN
aiti-14034	61	15	and	and	CCONJ
aiti-14034	61	16	discrete	discrete	ADJ
aiti-14034	61	17	wavelet	wavelet	NOUN
aiti-14034	61	18	transformation	transformation	NOUN
aiti-14034	61	19	.	.	PUNCT
aiti-14034	62	1	the	the	DET
aiti-14034	62	2	authors	author	NOUN
aiti-14034	62	3	have	have	AUX
aiti-14034	62	4	reported	report	VERB
aiti-14034	62	5	that	that	SCONJ
aiti-14034	62	6	using	use	VERB
aiti-14034	62	7	wavelet	wavelet	NOUN
aiti-14034	62	8	coefficients	coefficient	NOUN
aiti-14034	62	9	and	and	CCONJ
aiti-14034	62	10	morphological	morphological	ADJ
aiti-14034	62	11	features	feature	NOUN
aiti-14034	62	12	improved	improve	VERB
aiti-14034	62	13	the	the	DET
aiti-14034	62	14	performance	performance	NOUN
aiti-14034	62	15	of	of	ADP
aiti-14034	62	16	ann	ann	PROPN
aiti-14034	62	17	,	,	PUNCT
aiti-14034	62	18	increasing	increase	VERB
aiti-14034	62	19	the	the	DET
aiti-14034	62	20	accuracy	accuracy	NOUN
aiti-14034	62	21	to	to	ADP
aiti-14034	62	22	87	87	NUM
aiti-14034	62	23	%	%	NOUN
aiti-14034	62	24	.	.	PUNCT
aiti-14034	63	1	the	the	DET
aiti-14034	63	2	accuracy	accuracy	NOUN
aiti-14034	63	3	further	far	ADV
aiti-14034	63	4	increased	increase	VERB
aiti-14034	63	5	with	with	ADP
aiti-14034	63	6	the	the	DET
aiti-14034	63	7	increase	increase	NOUN
aiti-14034	63	8	in	in	ADP
aiti-14034	63	9	the	the	DET
aiti-14034	63	10	number	number	NOUN
aiti-14034	63	11	of	of	ADP
aiti-14034	63	12	neurons	neuron	NOUN
aiti-14034	63	13	in	in	ADP
aiti-14034	63	14	the	the	DET
aiti-14034	63	15	hidden	hide	VERB
aiti-14034	63	16	layer	layer	NOUN
aiti-14034	63	17	.	.	PUNCT
aiti-14034	64	1	jha	jha	NOUN
aiti-14034	64	2	and	and	CCONJ
aiti-14034	64	3	kolekar	kolekar	PROPN
aiti-14034	65	1	[	[	X
aiti-14034	65	2	17	17	NUM
aiti-14034	65	3	]	]	PUNCT
aiti-14034	65	4	contributed	contribute	VERB
aiti-14034	65	5	an	an	DET
aiti-14034	65	6	efficient	efficient	ADJ
aiti-14034	65	7	approach	approach	NOUN
aiti-14034	65	8	to	to	PART
aiti-14034	65	9	classify	classify	VERB
aiti-14034	65	10	seven	seven	NUM
aiti-14034	65	11	types	type	NOUN
aiti-14034	65	12	of	of	ADP
aiti-14034	65	13	ecg	ecg	PROPN
aiti-14034	65	14	beats	beat	NOUN
aiti-14034	65	15	based	base	VERB
aiti-14034	65	16	on	on	ADP
aiti-14034	65	17	the	the	DET
aiti-14034	65	18	12	12	NUM
aiti-14034	65	19	approximation	approximation	NOUN
aiti-14034	65	20	coefficients	coefficient	NOUN
aiti-14034	65	21	derived	derive	VERB
aiti-14034	65	22	through	through	ADP
aiti-14034	65	23	the	the	DET
aiti-14034	65	24	tunable	tunable	ADJ
aiti-14034	65	25	q	q	ADJ
aiti-14034	65	26	-	-	PUNCT
aiti-14034	65	27	wavelet	wavelet	ADJ
aiti-14034	65	28	transform	transform	NOUN
aiti-14034	65	29	of	of	ADP
aiti-14034	65	30	ecg	ecg	PROPN
aiti-14034	65	31	beats	beat	VERB
aiti-14034	65	32	from	from	ADP
aiti-14034	65	33	a	a	DET
aiti-14034	65	34	dissimilar	dissimilar	ADJ
aiti-14034	65	35	record	record	NOUN
aiti-14034	65	36	of	of	ADP
aiti-14034	65	37	the	the	DET
aiti-14034	65	38	mit	mit	VERB
aiti-14034	65	39	-	-	PUNCT
aiti-14034	65	40	bih	bih	NOUN
aiti-14034	65	41	database	database	NOUN
aiti-14034	65	42	.	.	PUNCT
aiti-14034	66	1	extracted	extract	VERB
aiti-14034	66	2	features	feature	NOUN
aiti-14034	66	3	were	be	AUX
aiti-14034	66	4	used	use	VERB
aiti-14034	66	5	as	as	ADP
aiti-14034	66	6	the	the	DET
aiti-14034	66	7	input	input	NOUN
aiti-14034	66	8	to	to	PART
aiti-14034	66	9	support	support	VERB
aiti-14034	66	10	the	the	DET
aiti-14034	66	11	vector	vector	NOUN
aiti-14034	66	12	machine	machine	NOUN
aiti-14034	66	13	classifier	classifier	NOUN
aiti-14034	66	14	,	,	PUNCT
aiti-14034	66	15	which	which	PRON
aiti-14034	66	16	yielded	yield	VERB
aiti-14034	66	17	an	an	DET
aiti-14034	66	18	average	average	ADJ
aiti-14034	66	19	classification	classification	NOUN
aiti-14034	66	20	accuracy	accuracy	NOUN
aiti-14034	66	21	of	of	ADP
aiti-14034	66	22	99.27	99.27	NUM
aiti-14034	66	23	%	%	NOUN
aiti-14034	66	24	for	for	ADP
aiti-14034	66	25	an	an	DET
aiti-14034	66	26	additional	additional	ADJ
aiti-14034	66	27	class	class	NOUN
aiti-14034	66	28	of	of	ADP
aiti-14034	66	29	eight	eight	NUM
aiti-14034	66	30	ecgs	ecgs	NOUN
aiti-14034	66	31	.	.	PUNCT
aiti-14034	67	1	in	in	ADP
aiti-14034	67	2	[	[	X
aiti-14034	67	3	18	18	NUM
aiti-14034	67	4	]	]	PUNCT
aiti-14034	67	5	,	,	PUNCT
aiti-14034	67	6	researchers	researcher	NOUN
aiti-14034	67	7	proposed	propose	VERB
aiti-14034	67	8	an	an	DET
aiti-14034	67	9	efficient	efficient	ADJ
aiti-14034	67	10	classification	classification	NOUN
aiti-14034	67	11	methodology	methodology	NOUN
aiti-14034	67	12	in	in	ADP
aiti-14034	67	13	which	which	PRON
aiti-14034	67	14	five	five	NUM
aiti-14034	67	15	types	type	NOUN
aiti-14034	67	16	of	of	ADP
aiti-14034	67	17	heartbeats	heartbeat	NOUN
aiti-14034	67	18	were	be	AUX
aiti-14034	67	19	classified	classify	VERB
aiti-14034	67	20	using	use	VERB
aiti-14034	67	21	a	a	DET
aiti-14034	67	22	one	one	NUM
aiti-14034	67	23	-	-	PUNCT
aiti-14034	67	24	dimensional	dimensional	ADJ
aiti-14034	67	25	cnn	cnn	NOUN
aiti-14034	67	26	with	with	ADP
aiti-14034	67	27	12	12	NUM
aiti-14034	67	28	layers	layer	NOUN
aiti-14034	67	29	.	.	PUNCT
aiti-14034	68	1	before	before	ADP
aiti-14034	68	2	classification	classification	NOUN
aiti-14034	68	3	,	,	PUNCT
aiti-14034	68	4	the	the	DET
aiti-14034	68	5	noise	noise	NOUN
aiti-14034	68	6	was	be	AUX
aiti-14034	68	7	removed	remove	VERB
aiti-14034	68	8	from	from	ADP
aiti-14034	68	9	the	the	DET
aiti-14034	68	10	ecg	ecg	PROPN
aiti-14034	68	11	beats	beat	NOUN
aiti-14034	68	12	using	use	VERB
aiti-14034	68	13	the	the	DET
aiti-14034	68	14	threshold	threshold	NOUN
aiti-14034	68	15	denoising	denoising	NOUN
aiti-14034	68	16	technique	technique	NOUN
aiti-14034	68	17	,	,	PUNCT
aiti-14034	68	18	which	which	PRON
aiti-14034	68	19	was	be	AUX
aiti-14034	68	20	accurate	accurate	ADJ
aiti-14034	68	21	at	at	ADP
aiti-14034	68	22	97.41	97.41	NUM
aiti-14034	68	23	%	%	NOUN
aiti-14034	68	24	.	.	PUNCT
aiti-14034	69	1	in	in	ADP
aiti-14034	69	2	[	[	X
aiti-14034	69	3	19	19	NUM
aiti-14034	69	4	]	]	PUNCT
aiti-14034	69	5	,	,	PUNCT
aiti-14034	69	6	four	four	NUM
aiti-14034	69	7	types	type	NOUN
aiti-14034	69	8	of	of	ADP
aiti-14034	69	9	heartbeats	heartbeat	NOUN
aiti-14034	69	10	from	from	ADP
aiti-14034	69	11	various	various	ADJ
aiti-14034	69	12	datasets	dataset	NOUN
aiti-14034	69	13	were	be	AUX
aiti-14034	69	14	categorized	categorize	VERB
aiti-14034	69	15	through	through	ADP
aiti-14034	69	16	five	five	NUM
aiti-14034	69	17	machine	machine	NOUN
aiti-14034	69	18	-	-	PUNCT
aiti-14034	69	19	learning	learn	VERB
aiti-14034	69	20	algorithms	algorithm	NOUN
aiti-14034	69	21	,	,	PUNCT
aiti-14034	69	22	including	include	VERB
aiti-14034	69	23	random	random	ADJ
aiti-14034	69	24	forest	forest	NOUN
aiti-14034	69	25	.	.	PUNCT
aiti-14034	70	1	wavelet	wavelet	NOUN
aiti-14034	70	2	decomposition	decomposition	NOUN
aiti-14034	70	3	and	and	CCONJ
aiti-14034	70	4	frequency	frequency	NOUN
aiti-14034	70	5	content	content	NOUN
aiti-14034	70	6	-	-	PUNCT
aiti-14034	70	7	based	base	VERB
aiti-14034	70	8	sub	sub	ADJ
aiti-14034	70	9	-	-	ADJ
aiti-14034	70	10	band	band	ADJ
aiti-14034	70	11	coefficients	coefficient	NOUN
aiti-14034	70	12	were	be	AUX
aiti-14034	70	13	used	use	VERB
aiti-14034	70	14	to	to	PART
aiti-14034	70	15	reduce	reduce	VERB
aiti-14034	70	16	the	the	DET
aiti-14034	70	17	dataset	dataset	NOUN
aiti-14034	70	18	's	's	PART
aiti-14034	70	19	dimensionality	dimensionality	NOUN
aiti-14034	70	20	,	,	PUNCT
aiti-14034	70	21	improving	improve	VERB
aiti-14034	70	22	the	the	DET
aiti-14034	70	23	performance	performance	NOUN
aiti-14034	70	24	of	of	ADP
aiti-14034	70	25	the	the	DET
aiti-14034	70	26	classification	classification	NOUN
aiti-14034	70	27	technique	technique	NOUN
aiti-14034	70	28	.	.	PUNCT
aiti-14034	71	1	the	the	DET
aiti-14034	71	2	results	result	NOUN
aiti-14034	71	3	showed	show	VERB
aiti-14034	71	4	that	that	SCONJ
aiti-14034	71	5	the	the	DET
aiti-14034	71	6	random	random	ADJ
aiti-14034	71	7	forest	forest	NOUN
aiti-14034	71	8	algorithm	algorithm	NOUN
aiti-14034	71	9	achieved	achieve	VERB
aiti-14034	71	10	a	a	DET
aiti-14034	71	11	classification	classification	NOUN
aiti-14034	71	12	accuracy	accuracy	NOUN
aiti-14034	71	13	of	of	ADP
aiti-14034	71	14	up	up	ADP
aiti-14034	71	15	to	to	PART
aiti-14034	71	16	97	97	NUM
aiti-14034	71	17	%	%	NOUN
aiti-14034	71	18	.	.	PUNCT
aiti-14034	72	1	murat	murat	PROPN
aiti-14034	72	2	et	et	PROPN
aiti-14034	72	3	al	al	PROPN
aiti-14034	72	4	.	.	PUNCT
aiti-14034	73	1	[	[	X
aiti-14034	73	2	20	20	NUM
aiti-14034	73	3	]	]	PUNCT
aiti-14034	73	4	provided	provide	VERB
aiti-14034	73	5	a	a	DET
aiti-14034	73	6	survey	survey	NOUN
aiti-14034	73	7	for	for	ADP
aiti-14034	73	8	background	background	NOUN
aiti-14034	73	9	information	information	NOUN
aiti-14034	73	10	,	,	PUNCT
aiti-14034	73	11	and	and	CCONJ
aiti-14034	73	12	further	further	ADJ
aiti-14034	73	13	research	research	NOUN
aiti-14034	73	14	into	into	ADP
aiti-14034	73	15	deep	deep	ADJ
aiti-14034	73	16	learning	learning	NOUN
aiti-14034	73	17	models	model	NOUN
aiti-14034	73	18	became	become	VERB
aiti-14034	73	19	one	one	NUM
aiti-14034	73	20	of	of	ADP
aiti-14034	73	21	the	the	DET
aiti-14034	73	22	standard	standard	ADJ
aiti-14034	73	23	approaches	approach	NOUN
aiti-14034	73	24	by	by	ADP
aiti-14034	73	25	which	which	PRON
aiti-14034	73	26	ecg	ecg	PROPN
aiti-14034	73	27	data	datum	NOUN
aiti-14034	73	28	had	have	VERB
aiti-14034	73	29	to	to	PART
aiti-14034	73	30	be	be	AUX
aiti-14034	73	31	classified	classify	VERB
aiti-14034	73	32	.	.	PUNCT
aiti-14034	74	1	they	they	PRON
aiti-14034	74	2	worked	work	VERB
aiti-14034	74	3	on	on	ADP
aiti-14034	74	4	ecg	ecg	PROPN
aiti-14034	74	5	data	datum	NOUN
aiti-14034	74	6	from	from	ADP
aiti-14034	74	7	5	5	NUM
aiti-14034	74	8	classes	class	NOUN
aiti-14034	74	9	with	with	ADP
aiti-14034	74	10	100,022	100,022	NUM
aiti-14034	74	11	beats	beat	NOUN
aiti-14034	74	12	from	from	ADP
aiti-14034	74	13	the	the	DET
aiti-14034	74	14	mit	mit	VERB
aiti-14034	74	15	-	-	PUNCT
aiti-14034	74	16	bih	bih	NOUN
aiti-14034	74	17	rhythmic	rhythmic	ADJ
aiti-14034	74	18	database	database	NOUN
aiti-14034	74	19	and	and	CCONJ
aiti-14034	74	20	focused	focus	VERB
aiti-14034	74	21	on	on	ADP
aiti-14034	74	22	testing	test	VERB
aiti-14034	74	23	the	the	DET
aiti-14034	74	24	most	most	ADV
aiti-14034	74	25	commonly	commonly	ADV
aiti-14034	74	26	used	use	VERB
aiti-14034	74	27	dl	dl	PROPN
aiti-14034	74	28	strategies	strategy	NOUN
aiti-14034	74	29	available	available	ADJ
aiti-14034	74	30	in	in	ADP
aiti-14034	74	31	the	the	DET
aiti-14034	74	32	literature	literature	NOUN
aiti-14034	74	33	.	.	PUNCT
aiti-14034	75	1	acharya	acharya	PROPN
aiti-14034	75	2	et	et	PROPN
aiti-14034	75	3	al	al	PROPN
aiti-14034	75	4	.	.	PUNCT
aiti-14034	76	1	[	[	X
aiti-14034	76	2	21	21	NUM
aiti-14034	76	3	]	]	PUNCT
aiti-14034	76	4	identified	identify	VERB
aiti-14034	76	5	general	general	ADJ
aiti-14034	76	6	and	and	CCONJ
aiti-14034	76	7	predictive	predictive	ADJ
aiti-14034	76	8	classes	class	NOUN
aiti-14034	76	9	using	use	VERB
aiti-14034	76	10	13	13	NUM
aiti-14034	76	11	deep	deep	ADJ
aiti-14034	76	12	layers	layer	NOUN
aiti-14034	76	13	of	of	ADP
aiti-14034	76	14	a	a	DET
aiti-14034	76	15	fully	fully	ADV
aiti-14034	76	16	cnn	cnn	PROPN
aiti-14034	76	17	.	.	PUNCT
aiti-14034	77	1	like	like	ADP
aiti-14034	77	2	the	the	DET
aiti-14034	77	3	artificial	artificial	ADJ
aiti-14034	77	4	neural	neural	ADJ
aiti-14034	77	5	network	network	NOUN
aiti-14034	77	6	(	(	PUNCT
aiti-14034	77	7	ann	ann	PROPN
aiti-14034	77	8	)	)	PUNCT
aiti-14034	77	9	,	,	PUNCT
aiti-14034	77	10	the	the	DET
aiti-14034	77	11	final	final	ADJ
aiti-14034	77	12	cnn	cnn	PROPN
aiti-14034	77	13	model	model	NOUN
aiti-14034	77	14	performance	performance	NOUN
aiti-14034	77	15	judgment	judgment	NOUN
aiti-14034	77	16	depends	depend	VERB
aiti-14034	77	17	on	on	ADP
aiti-14034	77	18	network	network	NOUN
aiti-14034	77	19	structure	structure	NOUN
aiti-14034	77	20	weights	weight	NOUN
aiti-14034	77	21	and	and	CCONJ
aiti-14034	77	22	previous	previous	ADJ
aiti-14034	77	23	layer	layer	NOUN
aiti-14034	77	24	preferences	preference	NOUN
aiti-14034	77	25	.	.	PUNCT
aiti-14034	78	1	the	the	DET
aiti-14034	78	2	pooling	pooling	NOUN
aiti-14034	78	3	process	process	NOUN
aiti-14034	78	4	reduces	reduce	VERB
aiti-14034	78	5	the	the	DET
aiti-14034	78	6	output	output	NOUN
aiti-14034	78	7	neurons	neuron	NOUN
aiti-14034	78	8	'	'	PART
aiti-14034	78	9	dimension	dimension	NOUN
aiti-14034	78	10	co	co	ADJ
aiti-14034	78	11	-	-	ADJ
aiti-14034	78	12	evolutionary	evolutionary	ADJ
aiti-14034	78	13	layer	layer	NOUN
aiti-14034	78	14	to	to	PART
aiti-14034	78	15	reduce	reduce	VERB
aiti-14034	78	16	calculation	calculation	NOUN
aiti-14034	78	17	amplitude	amplitude	NOUN
aiti-14034	78	18	and	and	CCONJ
aiti-14034	78	19	avoid	avoid	VERB
aiti-14034	78	20	overfitting	overfitte	VERB
aiti-14034	78	21	.	.	PUNCT
aiti-14034	79	1	the	the	DET
aiti-14034	79	2	suggested	suggest	VERB
aiti-14034	79	3	method	method	NOUN
aiti-14034	79	4	's	's	PART
aiti-14034	79	5	accuracy	accuracy	NOUN
aiti-14034	79	6	,	,	PUNCT
aiti-14034	79	7	specificity	specificity	NOUN
aiti-14034	79	8	,	,	PUNCT
aiti-14034	79	9	and	and	CCONJ
aiti-14034	79	10	sensitivity	sensitivity	NOUN
aiti-14034	79	11	were	be	AUX
aiti-14034	79	12	88.67	88.67	NUM
aiti-14034	79	13	%	%	NOUN
aiti-14034	79	14	,	,	PUNCT
aiti-14034	79	15	90.00	90.00	NUM
aiti-14034	79	16	%	%	NOUN
aiti-14034	79	17	,	,	PUNCT
aiti-14034	79	18	and	and	CCONJ
aiti-14034	79	19	95.00	95.00	NUM
aiti-14034	79	20	%	%	NOUN
aiti-14034	79	21	,	,	PUNCT
aiti-14034	79	22	respectively	respectively	ADV
aiti-14034	79	23	.	.	PUNCT
aiti-14034	80	1	dcnn	dcnn	PROPN
aiti-14034	80	2	can	can	AUX
aiti-14034	80	3	use	use	VERB
aiti-14034	80	4	attention	attention	NOUN
aiti-14034	80	5	mechanisms	mechanism	NOUN
aiti-14034	80	6	to	to	PART
aiti-14034	80	7	diagnose	diagnose	VERB
aiti-14034	80	8	cardiac	cardiac	ADJ
aiti-14034	80	9	arrhythmias	arrhythmia	NOUN
aiti-14034	80	10	by	by	ADP
aiti-14034	80	11	focusing	focus	VERB
aiti-14034	80	12	only	only	ADV
aiti-14034	80	13	on	on	ADP
aiti-14034	80	14	salient	salient	ADJ
aiti-14034	80	15	parts	part	NOUN
aiti-14034	80	16	of	of	ADP
aiti-14034	80	17	the	the	DET
aiti-14034	80	18	ecg	ecg	PROPN
aiti-14034	80	19	signals	signal	NOUN
aiti-14034	80	20	.	.	PUNCT
aiti-14034	81	1	this	this	PRON
aiti-14034	81	2	provides	provide	VERB
aiti-14034	81	3	a	a	DET
aiti-14034	81	4	new	new	ADJ
aiti-14034	81	5	way	way	NOUN
aiti-14034	81	6	to	to	PART
aiti-14034	81	7	isolate	isolate	VERB
aiti-14034	81	8	and	and	CCONJ
aiti-14034	81	9	detect	detect	VERB
aiti-14034	81	10	relevant	relevant	ADJ
aiti-14034	81	11	features	feature	NOUN
aiti-14034	81	12	in	in	ADP
aiti-14034	81	13	accurately	accurately	ADV
aiti-14034	81	14	classifying	classify	VERB
aiti-14034	81	15	arrhythmias[22	arrhythmias[22	NOUN
aiti-14034	81	16	]	]	PUNCT
aiti-14034	81	17	.	.	PUNCT
aiti-14034	82	1	the	the	DET
aiti-14034	82	2	attention	attention	NOUN
aiti-14034	82	3	mechanism	mechanism	NOUN
aiti-14034	82	4	allows	allow	VERB
aiti-14034	82	5	for	for	ADP
aiti-14034	82	6	the	the	DET
aiti-14034	82	7	identification	identification	NOUN
aiti-14034	82	8	of	of	ADP
aiti-14034	82	9	the	the	DET
aiti-14034	82	10	ecg	ecg	PROPN
aiti-14034	82	11	signals	signal	NOUN
aiti-14034	82	12	that	that	PRON
aiti-14034	82	13	drive	drive	VERB
aiti-14034	82	14	the	the	DET
aiti-14034	82	15	classification	classification	NOUN
aiti-14034	82	16	decision	decision	NOUN
aiti-14034	82	17	.	.	PUNCT
aiti-14034	83	1	this	this	PRON
aiti-14034	83	2	implies	imply	VERB
aiti-14034	83	3	the	the	DET
aiti-14034	83	4	localization	localization	NOUN
aiti-14034	83	5	of	of	ADP
aiti-14034	83	6	the	the	DET
aiti-14034	83	7	relevant	relevant	ADJ
aiti-14034	83	8	segments	segment	NOUN
aiti-14034	83	9	of	of	ADP
aiti-14034	83	10	the	the	DET
aiti-14034	83	11	signals	signal	NOUN
aiti-14034	83	12	,	,	PUNCT
aiti-14034	83	13	promoting	promote	VERB
aiti-14034	83	14	an	an	DET
aiti-14034	83	15	understanding	understanding	NOUN
aiti-14034	83	16	of	of	ADP
aiti-14034	83	17	the	the	DET
aiti-14034	83	18	rationale	rationale	NOUN
aiti-14034	83	19	behind	behind	ADP
aiti-14034	83	20	diagnosis	diagnosis	NOUN
aiti-14034	83	21	and	and	CCONJ
aiti-14034	83	22	giving	give	VERB
aiti-14034	83	23	valuable	valuable	ADJ
aiti-14034	83	24	insights	insight	NOUN
aiti-14034	83	25	that	that	PRON
aiti-14034	83	26	enable	enable	VERB
aiti-14034	83	27	informed	informed	ADJ
aiti-14034	83	28	decisions	decision	NOUN
aiti-14034	83	29	about	about	ADP
aiti-14034	83	30	patient	patient	ADJ
aiti-14034	83	31	management	management	NOUN
aiti-14034	83	32	.	.	PUNCT
aiti-14034	84	1	moreover	moreover	ADV
aiti-14034	84	2	,	,	PUNCT
aiti-14034	84	3	most	most	ADJ
aiti-14034	84	4	of	of	ADP
aiti-14034	84	5	the	the	DET
aiti-14034	84	6	problems	problem	NOUN
aiti-14034	84	7	associated	associate	VERB
aiti-14034	84	8	with	with	ADP
aiti-14034	84	9	interobserver	interobserver	ADJ
aiti-14034	84	10	variability	variability	NOUN
aiti-14034	84	11	and	and	CCONJ
aiti-14034	84	12	subjective	subjective	ADJ
aiti-14034	84	13	biases	bias	NOUN
aiti-14034	84	14	of	of	ADP
aiti-14034	84	15	visual	visual	ADJ
aiti-14034	84	16	identification	identification	NOUN
aiti-14034	84	17	will	will	AUX
aiti-14034	84	18	be	be	AUX
aiti-14034	84	19	decreased	decrease	VERB
aiti-14034	84	20	due	due	ADP
aiti-14034	84	21	to	to	ADP
aiti-14034	84	22	the	the	DET
aiti-14034	84	23	attention	attention	NOUN
aiti-14034	84	24	mechanism	mechanism	NOUN
aiti-14034	84	25	.	.	PUNCT
aiti-14034	85	1	most	most	ADJ
aiti-14034	85	2	arrhythmia	arrhythmia	NOUN
aiti-14034	85	3	diagnosis	diagnosis	NOUN
aiti-14034	85	4	methods	method	NOUN
aiti-14034	85	5	using	use	VERB
aiti-14034	85	6	ecg	ecg	PROPN
aiti-14034	85	7	signals	signal	NOUN
aiti-14034	85	8	have	have	VERB
aiti-14034	85	9	low	low	ADJ
aiti-14034	85	10	accuracy	accuracy	NOUN
aiti-14034	85	11	or	or	CCONJ
aiti-14034	85	12	suffer	suffer	VERB
aiti-14034	85	13	from	from	ADP
aiti-14034	85	14	similar	similar	ADJ
aiti-14034	85	15	-	-	PUNCT
aiti-14034	85	16	looking	look	VERB
aiti-14034	85	17	patterns	pattern	NOUN
aiti-14034	85	18	of	of	ADP
aiti-14034	85	19	arrhythmias	arrhythmia	NOUN
aiti-14034	85	20	.	.	PUNCT
aiti-14034	86	1	most	most	ADJ
aiti-14034	86	2	conventional	conventional	ADJ
aiti-14034	86	3	methods	method	NOUN
aiti-14034	86	4	involve	involve	VERB
aiti-14034	86	5	huge	huge	ADJ
aiti-14034	86	6	feature	feature	NOUN
aiti-14034	86	7	engineering	engineering	NOUN
aiti-14034	86	8	,	,	PUNCT
aiti-14034	86	9	which	which	PRON
aiti-14034	86	10	is	be	AUX
aiti-14034	86	11	normally	normally	ADV
aiti-14034	86	12	time	time	NOUN
aiti-14034	86	13	-	-	PUNCT
aiti-14034	86	14	consuming	consume	VERB
aiti-14034	86	15	and	and	CCONJ
aiti-14034	86	16	inefficient	inefficient	ADJ
aiti-14034	86	17	in	in	ADP
aiti-14034	86	18	most	most	ADJ
aiti-14034	86	19	cases	case	NOUN
aiti-14034	86	20	.	.	PUNCT
aiti-14034	87	1	additionally	additionally	ADV
aiti-14034	87	2	,	,	PUNCT
aiti-14034	87	3	many	many	ADJ
aiti-14034	87	4	models	model	NOUN
aiti-14034	87	5	lack	lack	VERB
aiti-14034	87	6	interpretability	interpretability	NOUN
aiti-14034	87	7	,	,	PUNCT
aiti-14034	87	8	making	make	VERB
aiti-14034	87	9	them	they	PRON
aiti-14034	87	10	difficult	difficult	ADJ
aiti-14034	87	11	for	for	SCONJ
aiti-14034	87	12	clinicians	clinician	NOUN
aiti-14034	87	13	to	to	PART
aiti-14034	87	14	adopt	adopt	VERB
aiti-14034	87	15	practically	practically	ADV
aiti-14034	87	16	.	.	PUNCT
aiti-14034	88	1	the	the	DET
aiti-14034	88	2	present	present	ADJ
aiti-14034	88	3	study	study	NOUN
aiti-14034	88	4	exploits	exploit	VERB
aiti-14034	88	5	the	the	DET
aiti-14034	88	6	deep	deep	ADJ
aiti-14034	88	7	learning	learning	NOUN
aiti-14034	88	8	potential	potential	NOUN
aiti-14034	88	9	based	base	VERB
aiti-14034	88	10	on	on	ADP
aiti-14034	88	11	cnns	cnn	NOUN
aiti-14034	88	12	to	to	PART
aiti-14034	88	13	automatically	automatically	ADV
aiti-14034	88	14	extract	extract	VERB
aiti-14034	88	15	relevant	relevant	ADJ
aiti-14034	88	16	features	feature	NOUN
aiti-14034	88	17	from	from	ADP
aiti-14034	88	18	ecg	ecg	PROPN
aiti-14034	88	19	signals	signal	NOUN
aiti-14034	88	20	in	in	ADP
aiti-14034	88	21	classifying	classify	VERB
aiti-14034	88	22	various	various	ADJ
aiti-14034	88	23	arrhythmias	arrhythmia	NOUN
aiti-14034	88	24	.	.	PUNCT
aiti-14034	89	1	another	another	DET
aiti-14034	89	2	milestone	milestone	NOUN
aiti-14034	89	3	in	in	ADP
aiti-14034	89	4	this	this	DET
aiti-14034	89	5	area	area	NOUN
aiti-14034	89	6	is	be	AUX
aiti-14034	89	7	the	the	DET
aiti-14034	89	8	integration	integration	NOUN
aiti-14034	89	9	of	of	ADP
aiti-14034	89	10	a	a	DET
aiti-14034	89	11	selective	selective	ADJ
aiti-14034	89	12	attention	attention	NOUN
aiti-14034	89	13	mechanism	mechanism	NOUN
aiti-14034	89	14	within	within	ADP
aiti-14034	89	15	dcnn	dcnn	PROPN
aiti-14034	89	16	to	to	PART
aiti-14034	89	17	diagnose	diagnose	VERB
aiti-14034	89	18	arrhythmias	arrhythmia	NOUN
aiti-14034	89	19	.	.	PUNCT
aiti-14034	90	1	this	this	PRON
aiti-14034	90	2	provides	provide	VERB
aiti-14034	90	3	deep	deep	ADJ
aiti-14034	90	4	learning	learning	NOUN
aiti-14034	90	5	with	with	ADP
aiti-14034	90	6	its	its	PRON
aiti-14034	90	7	power	power	NOUN
aiti-14034	90	8	while	while	SCONJ
aiti-14034	90	9	maintaining	maintain	VERB
aiti-14034	90	10	the	the	DET
aiti-14034	90	11	advances	advance	NOUN
aiti-14034	90	12	in	in	ADP
aiti-14034	90	13	technology	technology	NOUN
aiti-14034	90	14	innovation	innovation	NOUN
aiti-14034	90	15	,	,	PUNCT
aiti-14034	90	16	vol	vol	NOUN
aiti-14034	90	17	.	.	PROPN
aiti-14034	91	1	10	10	NUM
aiti-14034	91	2	,	,	PUNCT
aiti-14034	91	3	no	no	INTJ
aiti-14034	91	4	.	.	NOUN
aiti-14034	91	5	2	2	NUM
aiti-14034	91	6	,	,	PUNCT
aiti-14034	91	7	2025	2025	NUM
aiti-14034	91	8	,	,	PUNCT
aiti-14034	91	9	pp	pp	ADJ
aiti-14034	91	10	.	.	PUNCT
aiti-14034	92	1	102	102	NUM
aiti-14034	92	2	-	-	SYM
aiti-14034	92	3	117	117	NUM
aiti-14034	92	4	105	105	NUM
aiti-14034	92	5	interpretability	interpretability	NOUN
aiti-14034	92	6	and	and	CCONJ
aiti-14034	92	7	transparency	transparency	NOUN
aiti-14034	92	8	of	of	ADP
aiti-14034	92	9	the	the	DET
aiti-14034	92	10	model	model	NOUN
aiti-14034	92	11	;	;	PUNCT
aiti-14034	92	12	further	far	ADV
aiti-14034	92	13	bridging	bridge	VERB
aiti-14034	92	14	the	the	DET
aiti-14034	92	15	gap	gap	NOUN
aiti-14034	92	16	between	between	ADP
aiti-14034	92	17	automated	automate	VERB
aiti-14034	92	18	analysis	analysis	NOUN
aiti-14034	92	19	and	and	CCONJ
aiti-14034	92	20	human	human	ADJ
aiti-14034	92	21	understanding	understanding	NOUN
aiti-14034	92	22	.	.	PUNCT
aiti-14034	93	1	thus	thus	ADV
aiti-14034	93	2	,	,	PUNCT
aiti-14034	93	3	deep	deep	ADJ
aiti-14034	93	4	learning	learning	NOUN
aiti-14034	93	5	embedded	embed	VERB
aiti-14034	93	6	with	with	ADP
aiti-14034	93	7	selective	selective	ADJ
aiti-14034	93	8	attention	attention	NOUN
aiti-14034	93	9	holds	hold	VERB
aiti-14034	93	10	high	high	ADJ
aiti-14034	93	11	promise	promise	NOUN
aiti-14034	93	12	to	to	PART
aiti-14034	93	13	raise	raise	VERB
aiti-14034	93	14	the	the	DET
aiti-14034	93	15	accuracy	accuracy	NOUN
aiti-14034	93	16	,	,	PUNCT
aiti-14034	93	17	efficiency	efficiency	NOUN
aiti-14034	93	18	,	,	PUNCT
aiti-14034	93	19	and	and	CCONJ
aiti-14034	93	20	reliability	reliability	NOUN
aiti-14034	93	21	in	in	ADP
aiti-14034	93	22	the	the	DET
aiti-14034	93	23	diagnosis	diagnosis	NOUN
aiti-14034	93	24	of	of	ADP
aiti-14034	93	25	arrhythmias	arrhythmia	NOUN
aiti-14034	93	26	for	for	ADP
aiti-14034	93	27	improved	improved	ADJ
aiti-14034	93	28	patient	patient	ADJ
aiti-14034	93	29	outcomes	outcome	NOUN
aiti-14034	93	30	in	in	ADP
aiti-14034	93	31	the	the	DET
aiti-14034	93	32	management	management	NOUN
aiti-14034	93	33	of	of	ADP
aiti-14034	93	34	cardiovascular	cardiovascular	ADJ
aiti-14034	93	35	diseases	disease	NOUN
aiti-14034	93	36	.	.	PUNCT
aiti-14034	94	1	3	3	X
aiti-14034	94	2	.	.	X
aiti-14034	94	3	materials	material	NOUN
aiti-14034	94	4	and	and	CCONJ
aiti-14034	94	5	methods	method	NOUN
aiti-14034	94	6	an	an	DET
aiti-14034	94	7	arrhythmia	arrhythmia	NOUN
aiti-14034	94	8	is	be	AUX
aiti-14034	94	9	an	an	DET
aiti-14034	94	10	irregular	irregular	ADJ
aiti-14034	94	11	heartbeat	heartbeat	NOUN
aiti-14034	94	12	resulting	result	VERB
aiti-14034	94	13	from	from	ADP
aiti-14034	94	14	abnormal	abnormal	ADJ
aiti-14034	94	15	electrical	electrical	ADJ
aiti-14034	94	16	activity	activity	NOUN
aiti-14034	94	17	in	in	ADP
aiti-14034	94	18	the	the	DET
aiti-14034	94	19	heart	heart	NOUN
aiti-14034	94	20	,	,	PUNCT
aiti-14034	94	21	which	which	PRON
aiti-14034	94	22	can	can	AUX
aiti-14034	94	23	lead	lead	VERB
aiti-14034	94	24	to	to	ADP
aiti-14034	94	25	ineffective	ineffective	ADJ
aiti-14034	94	26	blood	blood	NOUN
aiti-14034	94	27	pumping	pumping	NOUN
aiti-14034	94	28	.	.	PUNCT
aiti-14034	95	1	it	it	PRON
aiti-14034	95	2	is	be	AUX
aiti-14034	95	3	defined	define	VERB
aiti-14034	95	4	as	as	ADP
aiti-14034	95	5	a	a	DET
aiti-14034	95	6	deviation	deviation	NOUN
aiti-14034	95	7	from	from	ADP
aiti-14034	95	8	normal	normal	ADJ
aiti-14034	95	9	heart	heart	NOUN
aiti-14034	95	10	rate	rate	NOUN
aiti-14034	95	11	.	.	PUNCT
aiti-14034	96	1	tachycardia	tachycardia	NOUN
aiti-14034	96	2	,	,	PUNCT
aiti-14034	96	3	bradycardia	bradycardia	NOUN
aiti-14034	96	4	,	,	PUNCT
aiti-14034	96	5	and	and	CCONJ
aiti-14034	96	6	irregular	irregular	ADJ
aiti-14034	96	7	heartbeat	heartbeat	NOUN
aiti-14034	96	8	are	be	AUX
aiti-14034	96	9	terms	term	NOUN
aiti-14034	96	10	used	use	VERB
aiti-14034	96	11	to	to	PART
aiti-14034	96	12	describe	describe	VERB
aiti-14034	96	13	several	several	ADJ
aiti-14034	96	14	arrhythmia	arrhythmia	NOUN
aiti-14034	96	15	problems	problem	NOUN
aiti-14034	96	16	.	.	PUNCT
aiti-14034	97	1	bradycardia	bradycardia	PROPN
aiti-14034	97	2	is	be	AUX
aiti-14034	97	3	characterized	characterize	VERB
aiti-14034	97	4	by	by	ADP
aiti-14034	97	5	a	a	DET
aiti-14034	97	6	slow	slow	ADJ
aiti-14034	97	7	resting	rest	VERB
aiti-14034	97	8	heart	heart	NOUN
aiti-14034	97	9	rate	rate	NOUN
aiti-14034	97	10	,	,	PUNCT
aiti-14034	97	11	fewer	few	ADJ
aiti-14034	97	12	than	than	ADP
aiti-14034	97	13	60	60	NUM
aiti-14034	97	14	beats	beat	NOUN
aiti-14034	97	15	per	per	ADP
aiti-14034	97	16	minute	minute	NOUN
aiti-14034	97	17	,	,	PUNCT
aiti-14034	97	18	whereas	whereas	SCONJ
aiti-14034	97	19	tachycardia	tachycardia	NOUN
aiti-14034	97	20	is	be	AUX
aiti-14034	97	21	characterized	characterize	VERB
aiti-14034	97	22	by	by	ADP
aiti-14034	97	23	a	a	DET
aiti-14034	97	24	high	high	ADJ
aiti-14034	97	25	resting	rest	VERB
aiti-14034	97	26	heart	heart	NOUN
aiti-14034	97	27	rate	rate	NOUN
aiti-14034	97	28	,	,	PUNCT
aiti-14034	97	29	often	often	ADV
aiti-14034	97	30	exceeding	exceed	VERB
aiti-14034	97	31	100	100	NUM
aiti-14034	97	32	beats	beat	NOUN
aiti-14034	97	33	per	per	ADP
aiti-14034	97	34	minute	minute	NOUN
aiti-14034	97	35	.	.	PUNCT
aiti-14034	98	1	the	the	DET
aiti-14034	98	2	heart	heart	NOUN
aiti-14034	98	3	's	's	PART
aiti-14034	98	4	abnormal	abnormal	ADJ
aiti-14034	98	5	electrical	electrical	ADJ
aiti-14034	98	6	activity	activity	NOUN
aiti-14034	98	7	can	can	AUX
aiti-14034	98	8	be	be	AUX
aiti-14034	98	9	fatal	fatal	ADJ
aiti-14034	98	10	.	.	PUNCT
aiti-14034	99	1	people	people	NOUN
aiti-14034	99	2	with	with	ADP
aiti-14034	99	3	coronary	coronary	ADJ
aiti-14034	99	4	artery	artery	NOUN
aiti-14034	99	5	disease	disease	NOUN
aiti-14034	99	6	,	,	PUNCT
aiti-14034	99	7	diabetes	diabetes	NOUN
aiti-14034	99	8	,	,	PUNCT
aiti-14034	99	9	and	and	CCONJ
aiti-14034	99	10	high	high	ADJ
aiti-14034	99	11	blood	blood	NOUN
aiti-14034	99	12	pressure	pressure	NOUN
aiti-14034	99	13	are	be	AUX
aiti-14034	99	14	more	more	ADV
aiti-14034	99	15	likely	likely	ADJ
aiti-14034	99	16	to	to	PART
aiti-14034	99	17	experience	experience	VERB
aiti-14034	99	18	arrhythmias	arrhythmia	NOUN
aiti-14034	99	19	.	.	PUNCT
aiti-14034	100	1	3.1	3.1	NUM
aiti-14034	100	2	.	.	PUNCT
aiti-14034	100	3	dataset	dataset	NOUN
aiti-14034	100	4	overview	overview	NOUN
aiti-14034	100	5	this	this	DET
aiti-14034	100	6	paper	paper	NOUN
aiti-14034	100	7	uses	use	VERB
aiti-14034	100	8	the	the	DET
aiti-14034	100	9	physionet	physionet	NOUN
aiti-14034	100	10	mit	mit	VERB
aiti-14034	100	11	-	-	PUNCT
aiti-14034	100	12	bih	bih	NOUN
aiti-14034	100	13	arrhythmia	arrhythmia	NOUN
aiti-14034	100	14	dataset	dataset	VERB
aiti-14034	101	1	[	[	PUNCT
aiti-14034	101	2	11	11	NUM
aiti-14034	101	3	]	]	PUNCT
aiti-14034	101	4	and	and	CCONJ
aiti-14034	101	5	the	the	DET
aiti-14034	101	6	ptb	ptb	PROPN
aiti-14034	101	7	diagnostic	diagnostic	PROPN
aiti-14034	101	8	ecg	ecg	PROPN
aiti-14034	101	9	database	database	NOUN
aiti-14034	102	1	[	[	X
aiti-14034	102	2	12	12	NUM
aiti-14034	102	3	]	]	PUNCT
aiti-14034	102	4	as	as	ADP
aiti-14034	102	5	data	datum	NOUN
aiti-14034	102	6	sources	source	NOUN
aiti-14034	102	7	of	of	ADP
aiti-14034	102	8	labeled	label	VERB
aiti-14034	102	9	ecg	ecg	PROPN
aiti-14034	102	10	records	record	NOUN
aiti-14034	102	11	.	.	PUNCT
aiti-14034	103	1	this	this	PRON
aiti-14034	103	2	demonstrates	demonstrate	VERB
aiti-14034	103	3	how	how	SCONJ
aiti-14034	103	4	the	the	DET
aiti-14034	103	5	knowledge	knowledge	NOUN
aiti-14034	103	6	from	from	ADP
aiti-14034	103	7	previous	previous	ADJ
aiti-14034	103	8	databases	database	NOUN
aiti-14034	103	9	can	can	AUX
aiti-14034	103	10	be	be	AUX
aiti-14034	103	11	successfully	successfully	ADV
aiti-14034	103	12	transferred	transfer	VERB
aiti-14034	103	13	to	to	PART
aiti-14034	103	14	train	train	VERB
aiti-14034	103	15	inference	inference	NOUN
aiti-14034	103	16	models	model	NOUN
aiti-14034	103	17	.	.	PUNCT
aiti-14034	104	1	the	the	DET
aiti-14034	104	2	ecg	ecg	PROPN
aiti-14034	104	3	lead	lead	PROPN
aiti-14034	104	4	ii	ii	PROPN
aiti-14034	104	5	resampled	resample	VERB
aiti-14034	104	6	at	at	ADP
aiti-14034	104	7	125hz	125hz	PROPN
aiti-14034	104	8	is	be	AUX
aiti-14034	104	9	used	use	VERB
aiti-14034	104	10	as	as	ADP
aiti-14034	104	11	an	an	DET
aiti-14034	104	12	input	input	NOUN
aiti-14034	104	13	.	.	PUNCT
aiti-14034	105	1	the	the	DET
aiti-14034	105	2	mit	mit	VERB
aiti-14034	105	3	-	-	PUNCT
aiti-14034	105	4	bih	bih	NOUN
aiti-14034	105	5	database	database	NOUN
aiti-14034	105	6	contains	contain	VERB
aiti-14034	105	7	the	the	DET
aiti-14034	105	8	ecg	ecg	PROPN
aiti-14034	105	9	recordings	recording	NOUN
aiti-14034	105	10	of	of	ADP
aiti-14034	105	11	47	47	NUM
aiti-14034	105	12	different	different	ADJ
aiti-14034	105	13	subjects	subject	NOUN
aiti-14034	105	14	.	.	PUNCT
aiti-14034	106	1	the	the	DET
aiti-14034	106	2	sampling	sample	VERB
aiti-14034	106	3	rate	rate	NOUN
aiti-14034	106	4	is	be	AUX
aiti-14034	106	5	360hz	360hz	NOUN
aiti-14034	106	6	.	.	PUNCT
aiti-14034	107	1	each	each	DET
aiti-14034	107	2	beat	beat	NOUN
aiti-14034	107	3	is	be	AUX
aiti-14034	107	4	annotated	annotate	VERB
aiti-14034	107	5	with	with	ADP
aiti-14034	107	6	at	at	ADV
aiti-14034	107	7	least	least	ADV
aiti-14034	107	8	two	two	NUM
aiti-14034	107	9	independent	independent	ADJ
aiti-14034	107	10	cardiologists	cardiologist	NOUN
aiti-14034	107	11	'	'	PART
aiti-14034	107	12	estimates	estimate	NOUN
aiti-14034	107	13	.	.	PUNCT
aiti-14034	108	1	in	in	ADP
aiti-14034	108	2	this	this	DET
aiti-14034	108	3	paper	paper	NOUN
aiti-14034	108	4	,	,	PUNCT
aiti-14034	108	5	annotations	annotation	NOUN
aiti-14034	108	6	from	from	ADP
aiti-14034	108	7	the	the	DET
aiti-14034	108	8	dataset	dataset	NOUN
aiti-14034	108	9	are	be	AUX
aiti-14034	108	10	used	use	VERB
aiti-14034	108	11	to	to	PART
aiti-14034	108	12	separate	separate	VERB
aiti-14034	108	13	the	the	DET
aiti-14034	108	14	five	five	NUM
aiti-14034	108	15	beat	beat	NOUN
aiti-14034	108	16	types	type	NOUN
aiti-14034	108	17	under	under	ADP
aiti-14034	108	18	the	the	DET
aiti-14034	108	19	ec57	ec57	PROPN
aiti-14034	108	20	standard	standard	NOUN
aiti-14034	108	21	of	of	ADP
aiti-14034	108	22	the	the	DET
aiti-14034	108	23	association	association	NOUN
aiti-14034	108	24	for	for	ADP
aiti-14034	108	25	the	the	DET
aiti-14034	108	26	advancement	advancement	NOUN
aiti-14034	108	27	of	of	ADP
aiti-14034	108	28	medical	medical	ADJ
aiti-14034	108	29	instrumentation	instrumentation	NOUN
aiti-14034	108	30	.	.	PUNCT
aiti-14034	109	1	the	the	DET
aiti-14034	109	2	ptb	ptb	PROPN
aiti-14034	109	3	diagnostics	diagnostic	NOUN
aiti-14034	109	4	dataset	dataset	VERB
aiti-14034	109	5	consists	consist	NOUN
aiti-14034	109	6	of	of	ADP
aiti-14034	109	7	ecg	ecg	PROPN
aiti-14034	109	8	recordings	recording	NOUN
aiti-14034	109	9	of	of	ADP
aiti-14034	109	10	290	290	NUM
aiti-14034	109	11	subjects	subject	NOUN
aiti-14034	109	12	:	:	PUNCT
aiti-14034	109	13	148	148	NUM
aiti-14034	109	14	with	with	ADP
aiti-14034	109	15	mi	mi	NOUN
aiti-14034	109	16	diagnosis	diagnosis	NOUN
aiti-14034	109	17	,	,	PUNCT
aiti-14034	109	18	52	52	NUM
aiti-14034	109	19	healthy	healthy	ADJ
aiti-14034	109	20	controls	control	NOUN
aiti-14034	109	21	,	,	PUNCT
aiti-14034	109	22	and	and	CCONJ
aiti-14034	109	23	the	the	DET
aiti-14034	109	24	rest	rest	NOUN
aiti-14034	109	25	diagnosed	diagnose	VERB
aiti-14034	109	26	with	with	ADP
aiti-14034	109	27	7	7	NUM
aiti-14034	109	28	diseases	disease	NOUN
aiti-14034	109	29	.	.	PUNCT
aiti-14034	110	1	each	each	DET
aiti-14034	110	2	record	record	NOUN
aiti-14034	110	3	includes	include	VERB
aiti-14034	110	4	ecg	ecg	PROPN
aiti-14034	110	5	signals	signal	NOUN
aiti-14034	110	6	from	from	ADP
aiti-14034	110	7	the	the	DET
aiti-14034	110	8	12	12	NUM
aiti-14034	110	9	leads	lead	NOUN
aiti-14034	110	10	sampled	sample	VERB
aiti-14034	110	11	at	at	ADP
aiti-14034	110	12	1000	1000	NUM
aiti-14034	110	13	hz	hz	NOUN
aiti-14034	110	14	.	.	PUNCT
aiti-14034	111	1	this	this	DET
aiti-14034	111	2	paper	paper	NOUN
aiti-14034	111	3	will	will	AUX
aiti-14034	111	4	only	only	ADV
aiti-14034	111	5	work	work	VERB
aiti-14034	111	6	on	on	ADP
aiti-14034	111	7	ecg	ecg	PROPN
aiti-14034	111	8	lead	lead	PROPN
aiti-14034	111	9	ii	ii	PROPN
aiti-14034	111	10	and	and	CCONJ
aiti-14034	111	11	two	two	NUM
aiti-14034	111	12	categories	category	NOUN
aiti-14034	111	13	:	:	PUNCT
aiti-14034	111	14	mi	mi	PROPN
aiti-14034	111	15	and	and	CCONJ
aiti-14034	111	16	health	health	NOUN
aiti-14034	111	17	controls	control	NOUN
aiti-14034	111	18	.	.	PUNCT
aiti-14034	112	1	3.2	3.2	NUM
aiti-14034	112	2	.	.	X
aiti-14034	113	1	preprocessing	preprocesse	VERB
aiti-14034	113	2	since	since	SCONJ
aiti-14034	113	3	ecg	ecg	PROPN
aiti-14034	113	4	beats	beat	NOUN
aiti-14034	113	5	are	be	AUX
aiti-14034	113	6	used	use	VERB
aiti-14034	113	7	as	as	ADP
aiti-14034	113	8	inputs	input	NOUN
aiti-14034	113	9	for	for	ADP
aiti-14034	113	10	this	this	DET
aiti-14034	113	11	method	method	NOUN
aiti-14034	113	12	,	,	PUNCT
aiti-14034	113	13	kachuee	kachuee	PROPN
aiti-14034	113	14	et	et	PROPN
aiti-14034	113	15	al	al	PROPN
aiti-14034	113	16	.	.	PUNCT
aiti-14034	114	1	[	[	X
aiti-14034	114	2	23	23	NUM
aiti-14034	114	3	]	]	PUNCT
aiti-14034	114	4	introduced	introduce	VERB
aiti-14034	114	5	an	an	DET
aiti-14034	114	6	efficient	efficient	ADJ
aiti-14034	114	7	approach	approach	NOUN
aiti-14034	114	8	to	to	ADP
aiti-14034	114	9	preprocessing	preprocesse	VERB
aiti-14034	114	10	the	the	DET
aiti-14034	114	11	ecg	ecg	PROPN
aiti-14034	114	12	signal	signal	NOUN
aiti-14034	114	13	and	and	CCONJ
aiti-14034	114	14	extracting	extract	VERB
aiti-14034	114	15	its	its	PRON
aiti-14034	114	16	beats	beat	NOUN
aiti-14034	114	17	.	.	PUNCT
aiti-14034	115	1	figs	fig	NOUN
aiti-14034	115	2	.	.	PUNCT
aiti-14034	116	1	3	3	NUM
aiti-14034	116	2	and	and	CCONJ
aiti-14034	116	3	4	4	NUM
aiti-14034	116	4	illustrate	illustrate	VERB
aiti-14034	116	5	the	the	DET
aiti-14034	116	6	steps	step	NOUN
aiti-14034	116	7	involved	involve	VERB
aiti-14034	116	8	in	in	ADP
aiti-14034	116	9	extracting	extract	VERB
aiti-14034	116	10	beats	beat	NOUN
aiti-14034	116	11	from	from	ADP
aiti-14034	116	12	the	the	DET
aiti-14034	116	13	ecg	ecg	PROPN
aiti-14034	116	14	signal	signal	NOUN
aiti-14034	116	15	.	.	PUNCT
aiti-14034	117	1	the	the	DET
aiti-14034	117	2	continuous	continuous	ADJ
aiti-14034	117	3	ecg	ecg	PROPN
aiti-14034	117	4	signal	signal	NOUN
aiti-14034	117	5	is	be	AUX
aiti-14034	117	6	divided	divide	VERB
aiti-14034	117	7	into	into	ADP
aiti-14034	117	8	10	10	NUM
aiti-14034	117	9	-	-	PUNCT
aiti-14034	117	10	second	second	NOUN
aiti-14034	117	11	windows	window	NOUN
aiti-14034	117	12	,	,	PUNCT
aiti-14034	117	13	with	with	ADP
aiti-14034	117	14	a	a	DET
aiti-14034	117	15	specific	specific	ADJ
aiti-14034	117	16	window	window	NOUN
aiti-14034	117	17	selected	select	VERB
aiti-14034	117	18	for	for	ADP
aiti-14034	117	19	further	further	ADJ
aiti-14034	117	20	analysis	analysis	NOUN
aiti-14034	117	21	.	.	PUNCT
aiti-14034	118	1	to	to	PART
aiti-14034	118	2	enhance	enhance	VERB
aiti-14034	118	3	signal	signal	PROPN
aiti-14034	118	4	quality	quality	NOUN
aiti-14034	118	5	,	,	PUNCT
aiti-14034	118	6	a	a	DET
aiti-14034	118	7	combination	combination	NOUN
aiti-14034	118	8	of	of	ADP
aiti-14034	118	9	noise	noise	NOUN
aiti-14034	118	10	reduction	reduction	NOUN
aiti-14034	118	11	techniques	technique	NOUN
aiti-14034	118	12	is	be	AUX
aiti-14034	118	13	employed	employ	VERB
aiti-14034	118	14	,	,	PUNCT
aiti-14034	118	15	including	include	VERB
aiti-14034	118	16	a	a	DET
aiti-14034	118	17	high	high	ADJ
aiti-14034	118	18	-	-	PUNCT
aiti-14034	118	19	pass	pass	NOUN
aiti-14034	118	20	filter	filter	NOUN
aiti-14034	118	21	with	with	ADP
aiti-14034	118	22	a	a	DET
aiti-14034	118	23	cutoff	cutoff	NOUN
aiti-14034	118	24	frequency	frequency	NOUN
aiti-14034	118	25	of	of	ADP
aiti-14034	118	26	0.5	0.5	NUM
aiti-14034	118	27	hz	hz	VERB
aiti-14034	118	28	for	for	ADP
aiti-14034	118	29	baseline	baseline	ADJ
aiti-14034	118	30	wander	wander	NOUN
aiti-14034	118	31	removal	removal	NOUN
aiti-14034	118	32	,	,	PUNCT
aiti-14034	118	33	a	a	DET
aiti-14034	118	34	notch	notch	ADJ
aiti-14034	118	35	filter	filter	NOUN
aiti-14034	118	36	at	at	ADP
aiti-14034	118	37	50/60	50/60	NUM
aiti-14034	118	38	hz	hz	NOUN
aiti-14034	118	39	to	to	PART
aiti-14034	118	40	eliminate	eliminate	VERB
aiti-14034	118	41	power	power	NOUN
aiti-14034	118	42	line	line	NOUN
aiti-14034	118	43	interference	interference	NOUN
aiti-14034	118	44	,	,	PUNCT
aiti-14034	118	45	and	and	CCONJ
aiti-14034	118	46	a	a	DET
aiti-14034	118	47	low	low	ADJ
aiti-14034	118	48	-	-	PUNCT
aiti-14034	118	49	pass	pass	NOUN
aiti-14034	118	50	filter	filter	NOUN
aiti-14034	118	51	with	with	ADP
aiti-14034	118	52	a	a	DET
aiti-14034	118	53	cutoff	cutoff	NOUN
aiti-14034	118	54	frequency	frequency	NOUN
aiti-14034	118	55	of	of	ADP
aiti-14034	118	56	40	40	NUM
aiti-14034	118	57	hz	hz	VERB
aiti-14034	118	58	to	to	PART
aiti-14034	118	59	reduce	reduce	VERB
aiti-14034	118	60	high	high	ADJ
aiti-14034	118	61	-	-	PUNCT
aiti-14034	118	62	frequency	frequency	NOUN
aiti-14034	118	63	noise	noise	NOUN
aiti-14034	118	64	.	.	PUNCT
aiti-14034	119	1	additionally	additionally	ADV
aiti-14034	119	2	,	,	PUNCT
aiti-14034	119	3	min	min	ADJ
aiti-14034	119	4	-	-	ADJ
aiti-14034	119	5	max	max	PROPN
aiti-14034	119	6	normalization	normalization	NOUN
aiti-14034	119	7	rescales	rescale	VERB
aiti-14034	119	8	the	the	DET
aiti-14034	119	9	ecg	ecg	PROPN
aiti-14034	119	10	signal	signal	NOUN
aiti-14034	119	11	amplitudes	amplitude	NOUN
aiti-14034	119	12	to	to	PART
aiti-14034	119	13	ensure	ensure	VERB
aiti-14034	119	14	they	they	PRON
aiti-14034	119	15	fall	fall	VERB
aiti-14034	119	16	within	within	ADP
aiti-14034	119	17	the	the	DET
aiti-14034	119	18	range	range	NOUN
aiti-14034	119	19	of	of	ADP
aiti-14034	119	20	zero	zero	NUM
aiti-14034	119	21	to	to	ADP
aiti-14034	119	22	one	one	NUM
aiti-14034	119	23	.	.	PUNCT
aiti-14034	120	1	normalize	normalize	VERB
aiti-14034	120	2	amplitude	amplitude	NOUN
aiti-14034	120	3	values	value	NOUN
aiti-14034	120	4	find	find	VERB
aiti-14034	120	5	local	local	ADJ
aiti-14034	120	6	maximums	maximum	NOUN
aiti-14034	120	7	apply	apply	VERB
aiti-14034	120	8	threshold	threshold	NOUN
aiti-14034	120	9	(	(	PUNCT
aiti-14034	120	10	0.9	0.9	NUM
aiti-14034	120	11	)	)	PUNCT
aiti-14034	120	12	find	find	VERB
aiti-14034	120	13	r	r	NOUN
aiti-14034	120	14	-	-	PUNCT
aiti-14034	120	15	peak	peak	NOUN
aiti-14034	120	16	candidates	candidate	NOUN
aiti-14034	121	1	yes	yes	INTJ
aiti-14034	121	2	no	no	DET
aiti-14034	121	3	continuous	continuous	ADJ
aiti-14034	121	4	ecg	ecg	PROPN
aiti-14034	121	5	signal	signal	NOUN
aiti-14034	121	6	split	split	VERB
aiti-14034	121	7	into	into	ADP
aiti-14034	121	8	10s	10	NOUN
aiti-14034	121	9	windows	window	NOUN
aiti-14034	121	10	select	select	ADJ
aiti-14034	121	11	window	window	NOUN
aiti-14034	121	12	start	start	NOUN
aiti-14034	121	13	calculate	calculate	VERB
aiti-14034	121	14	nominal	nominal	ADJ
aiti-14034	121	15	heartbeat	heartbeat	NOUN
aiti-14034	121	16	period	period	NOUN
aiti-14034	121	17	select	select	ADJ
aiti-14034	121	18	signal	signal	NOUN
aiti-14034	121	19	segment	segment	NOUN
aiti-14034	121	20	(	(	PUNCT
aiti-14034	121	21	1.2	1.2	NUM
aiti-14034	121	22	*	*	SYM
aiti-14034	121	23	t	t	PROPN
aiti-14034	121	24	)	)	PUNCT
aiti-14034	121	25	pad	pad	NOUN
aiti-14034	121	26	segment	segment	NOUN
aiti-14034	121	27	(	(	PUNCT
aiti-14034	121	28	fixed	fix	VERB
aiti-14034	121	29	length	length	NOUN
aiti-14034	121	30	)	)	PUNCT
aiti-14034	121	31	end	end	VERB
aiti-14034	121	32	fig	fig	NOUN
aiti-14034	121	33	.	.	PUNCT
aiti-14034	122	1	3	3	NUM
aiti-14034	122	2	flow	flow	NOUN
aiti-14034	122	3	chart	chart	NOUN
aiti-14034	122	4	for	for	ADP
aiti-14034	122	5	bit	bit	NOUN
aiti-14034	122	6	extraction	extraction	NOUN
aiti-14034	122	7	advances	advance	NOUN
aiti-14034	122	8	in	in	ADP
aiti-14034	122	9	technology	technology	NOUN
aiti-14034	122	10	innovation	innovation	NOUN
aiti-14034	122	11	,	,	PUNCT
aiti-14034	122	12	vol	vol	NOUN
aiti-14034	122	13	.	.	PROPN
aiti-14034	122	14	10	10	NUM
aiti-14034	122	15	,	,	PUNCT
aiti-14034	122	16	no	no	INTJ
aiti-14034	122	17	.	.	NOUN
aiti-14034	122	18	2	2	NUM
aiti-14034	122	19	,	,	PUNCT
aiti-14034	122	20	2025	2025	NUM
aiti-14034	122	21	,	,	PUNCT
aiti-14034	122	22	pp	pp	ADJ
aiti-14034	122	23	.	.	PUNCT
aiti-14034	123	1	102	102	NUM
aiti-14034	123	2	-	-	SYM
aiti-14034	123	3	117	117	NUM
aiti-14034	123	4	106	106	NUM
aiti-14034	123	5	fig	fig	NOUN
aiti-14034	123	6	.	.	PUNCT
aiti-14034	124	1	4	4	NUM
aiti-14034	124	2	an	an	DET
aiti-14034	124	3	extracted	extract	VERB
aiti-14034	124	4	beat	beat	NOUN
aiti-14034	124	5	from	from	ADP
aiti-14034	124	6	10s	10	NOUN
aiti-14034	124	7	ecg	ecg	PROPN
aiti-14034	124	8	window	window	NOUN
aiti-14034	124	9	[	[	X
aiti-14034	124	10	23	23	NUM
aiti-14034	124	11	]	]	PUNCT
aiti-14034	124	12	zero	zero	NUM
aiti-14034	124	13	-	-	PUNCT
aiti-14034	124	14	crossings	crossing	NOUN
aiti-14034	124	15	of	of	ADP
aiti-14034	124	16	the	the	DET
aiti-14034	124	17	first	first	ADJ
aiti-14034	124	18	derivative	derivative	NOUN
aiti-14034	124	19	are	be	AUX
aiti-14034	124	20	utilized	utilize	VERB
aiti-14034	124	21	to	to	PART
aiti-14034	124	22	identify	identify	VERB
aiti-14034	124	23	all	all	DET
aiti-14034	124	24	local	local	ADJ
aiti-14034	124	25	maximum	maximum	ADJ
aiti-14034	124	26	points	point	NOUN
aiti-14034	124	27	in	in	ADP
aiti-14034	124	28	the	the	DET
aiti-14034	124	29	signal	signal	NOUN
aiti-14034	124	30	.	.	PUNCT
aiti-14034	125	1	a	a	DET
aiti-14034	125	2	threshold	threshold	NOUN
aiti-14034	125	3	of	of	ADP
aiti-14034	125	4	0.9	0.9	NUM
aiti-14034	125	5	is	be	AUX
aiti-14034	125	6	then	then	ADV
aiti-14034	125	7	applied	apply	VERB
aiti-14034	125	8	to	to	ADP
aiti-14034	125	9	the	the	DET
aiti-14034	125	10	normalized	normalize	VERB
aiti-14034	125	11	values	value	NOUN
aiti-14034	125	12	of	of	ADP
aiti-14034	125	13	these	these	DET
aiti-14034	125	14	local	local	ADJ
aiti-14034	125	15	maximums	maximum	NOUN
aiti-14034	125	16	to	to	PART
aiti-14034	125	17	identify	identify	VERB
aiti-14034	125	18	potential	potential	ADJ
aiti-14034	125	19	r	r	NOUN
aiti-14034	125	20	-	-	PUNCT
aiti-14034	125	21	peak	peak	NOUN
aiti-14034	125	22	candidates	candidate	NOUN
aiti-14034	125	23	corresponding	correspond	VERB
aiti-14034	125	24	to	to	ADP
aiti-14034	125	25	the	the	DET
aiti-14034	125	26	peaks	peak	NOUN
aiti-14034	125	27	of	of	ADP
aiti-14034	125	28	heartbeats	heartbeat	NOUN
aiti-14034	125	29	.	.	PUNCT
aiti-14034	126	1	the	the	DET
aiti-14034	126	2	median	median	ADJ
aiti-14034	126	3	value	value	NOUN
aiti-14034	126	4	of	of	ADP
aiti-14034	126	5	the	the	DET
aiti-14034	126	6	r	r	NOUN
aiti-14034	126	7	-	-	PUNCT
aiti-14034	126	8	r	r	NOUN
aiti-14034	126	9	intervals	interval	NOUN
aiti-14034	126	10	,	,	PUNCT
aiti-14034	126	11	representing	represent	VERB
aiti-14034	126	12	the	the	DET
aiti-14034	126	13	time	time	NOUN
aiti-14034	126	14	between	between	ADP
aiti-14034	126	15	consecutive	consecutive	ADJ
aiti-14034	126	16	r	r	NOUN
aiti-14034	126	17	-	-	PUNCT
aiti-14034	126	18	peaks	peak	NOUN
aiti-14034	126	19	,	,	PUNCT
aiti-14034	126	20	is	be	AUX
aiti-14034	126	21	calculated	calculate	VERB
aiti-14034	126	22	to	to	PART
aiti-14034	126	23	determine	determine	VERB
aiti-14034	126	24	the	the	DET
aiti-14034	126	25	nominal	nominal	ADJ
aiti-14034	126	26	heartbeat	heartbeat	NOUN
aiti-14034	126	27	period	period	NOUN
aiti-14034	126	28	for	for	ADP
aiti-14034	126	29	that	that	DET
aiti-14034	126	30	specific	specific	ADJ
aiti-14034	126	31	window	window	NOUN
aiti-14034	126	32	(	(	PUNCT
aiti-14034	126	33	t	t	NOUN
aiti-14034	126	34	)	)	PUNCT
aiti-14034	126	35	.	.	PUNCT
aiti-14034	127	1	for	for	ADP
aiti-14034	127	2	each	each	DET
aiti-14034	127	3	r	r	NOUN
aiti-14034	127	4	-	-	PUNCT
aiti-14034	127	5	peak	peak	NOUN
aiti-14034	127	6	candidate	candidate	NOUN
aiti-14034	127	7	,	,	PUNCT
aiti-14034	127	8	a	a	DET
aiti-14034	127	9	signal	signal	ADJ
aiti-14034	127	10	segment	segment	NOUN
aiti-14034	127	11	with	with	ADP
aiti-14034	127	12	a	a	DET
aiti-14034	127	13	length	length	NOUN
aiti-14034	127	14	equal	equal	ADJ
aiti-14034	127	15	to	to	ADP
aiti-14034	127	16	1.2	1.2	NUM
aiti-14034	127	17	times	time	NOUN
aiti-14034	127	18	the	the	DET
aiti-14034	127	19	nominal	nominal	ADJ
aiti-14034	127	20	heartbeat	heartbeat	NOUN
aiti-14034	127	21	period	period	NOUN
aiti-14034	127	22	(	(	PUNCT
aiti-14034	127	23	1.2	1.2	NUM
aiti-14034	127	24	t	t	NOUN
aiti-14034	127	25	)	)	PUNCT
aiti-14034	127	26	is	be	AUX
aiti-14034	127	27	selected	select	VERB
aiti-14034	127	28	.	.	PUNCT
aiti-14034	128	1	to	to	PART
aiti-14034	128	2	ensure	ensure	VERB
aiti-14034	128	3	a	a	DET
aiti-14034	128	4	fixed	fix	VERB
aiti-14034	128	5	length	length	NOUN
aiti-14034	128	6	for	for	ADP
aiti-14034	128	7	further	further	ADJ
aiti-14034	128	8	analysis	analysis	NOUN
aiti-14034	128	9	,	,	PUNCT
aiti-14034	128	10	each	each	DET
aiti-14034	128	11	selected	select	VERB
aiti-14034	128	12	segment	segment	NOUN
aiti-14034	128	13	is	be	AUX
aiti-14034	128	14	padded	pad	VERB
aiti-14034	128	15	with	with	ADP
aiti-14034	128	16	zeros	zero	NOUN
aiti-14034	128	17	,	,	PUNCT
aiti-14034	128	18	if	if	SCONJ
aiti-14034	128	19	necessary	necessary	ADJ
aiti-14034	128	20	,	,	PUNCT
aiti-14034	128	21	to	to	PART
aiti-14034	128	22	meet	meet	VERB
aiti-14034	128	23	a	a	DET
aiti-14034	128	24	predefined	predefine	VERB
aiti-14034	128	25	length	length	NOUN
aiti-14034	128	26	requirement	requirement	NOUN
aiti-14034	128	27	.	.	PUNCT
aiti-14034	129	1	the	the	DET
aiti-14034	129	2	beat	beat	NOUN
aiti-14034	129	3	extraction	extraction	NOUN
aiti-14034	129	4	methodology	methodology	NOUN
aiti-14034	129	5	is	be	AUX
aiti-14034	129	6	effective	effective	ADJ
aiti-14034	129	7	in	in	ADP
aiti-14034	129	8	capturing	capture	VERB
aiti-14034	129	9	r	r	NOUN
aiti-14034	129	10	-	-	PUNCT
aiti-14034	129	11	r	r	NOUN
aiti-14034	129	12	intervals	interval	NOUN
aiti-14034	129	13	from	from	ADP
aiti-14034	129	14	ecg	ecg	PROPN
aiti-14034	129	15	signals	signal	NOUN
aiti-14034	129	16	that	that	PRON
aiti-14034	129	17	exhibit	exhibit	VERB
aiti-14034	129	18	diverse	diverse	ADJ
aiti-14034	129	19	morphological	morphological	ADJ
aiti-14034	129	20	characteristics	characteristic	NOUN
aiti-14034	129	21	.	.	PUNCT
aiti-14034	130	1	applying	apply	VERB
aiti-14034	130	2	this	this	DET
aiti-14034	130	3	technique	technique	NOUN
aiti-14034	130	4	,	,	PUNCT
aiti-14034	130	5	all	all	DET
aiti-14034	130	6	extracted	extract	VERB
aiti-14034	130	7	beats	beat	NOUN
aiti-14034	130	8	are	be	AUX
aiti-14034	130	9	standardized	standardize	VERB
aiti-14034	130	10	to	to	ADP
aiti-14034	130	11	an	an	DET
aiti-14034	130	12	equal	equal	ADJ
aiti-14034	130	13	length	length	NOUN
aiti-14034	130	14	,	,	PUNCT
aiti-14034	130	15	enhancing	enhance	VERB
aiti-14034	130	16	the	the	DET
aiti-14034	130	17	reliability	reliability	NOUN
aiti-14034	130	18	of	of	ADP
aiti-14034	130	19	subsequent	subsequent	ADJ
aiti-14034	130	20	analyses	analysis	NOUN
aiti-14034	130	21	.	.	PUNCT
aiti-14034	131	1	this	this	DET
aiti-14034	131	2	uniformity	uniformity	NOUN
aiti-14034	131	3	is	be	AUX
aiti-14034	131	4	crucial	crucial	ADJ
aiti-14034	131	5	for	for	ADP
aiti-14034	131	6	accurate	accurate	ADJ
aiti-14034	131	7	interpretation	interpretation	NOUN
aiti-14034	131	8	,	,	PUNCT
aiti-14034	131	9	the	the	DET
aiti-14034	131	10	assessment	assessment	NOUN
aiti-14034	131	11	of	of	ADP
aiti-14034	131	12	heart	heart	NOUN
aiti-14034	131	13	rate	rate	NOUN
aiti-14034	131	14	variability	variability	NOUN
aiti-14034	131	15	,	,	PUNCT
aiti-14034	131	16	and	and	CCONJ
aiti-14034	131	17	the	the	DET
aiti-14034	131	18	evaluation	evaluation	NOUN
aiti-14034	131	19	of	of	ADP
aiti-14034	131	20	overall	overall	ADJ
aiti-14034	131	21	cardiac	cardiac	ADJ
aiti-14034	131	22	health	health	NOUN
aiti-14034	131	23	.	.	PUNCT
aiti-14034	132	1	3.3	3.3	NUM
aiti-14034	132	2	.	.	PUNCT
aiti-14034	133	1	pre	pre	ADJ
aiti-14034	133	2	-	-	ADJ
aiti-14034	133	3	traind	traind	ADJ
aiti-14034	133	4	cnn	cnn	PROPN
aiti-14034	133	5	resnet-50	resnet-50	PROPN
aiti-14034	133	6	and	and	CCONJ
aiti-14034	133	7	vgg19	vgg19	PROPN
aiti-14034	133	8	are	be	AUX
aiti-14034	133	9	popular	popular	ADJ
aiti-14034	133	10	deep	deep	ADJ
aiti-14034	133	11	-	-	PUNCT
aiti-14034	133	12	learning	learn	VERB
aiti-14034	133	13	architectures	architecture	NOUN
aiti-14034	133	14	used	use	VERB
aiti-14034	133	15	in	in	ADP
aiti-14034	133	16	computer	computer	NOUN
aiti-14034	133	17	vision	vision	NOUN
aiti-14034	133	18	tasks	task	NOUN
aiti-14034	133	19	,	,	PUNCT
aiti-14034	133	20	including	include	VERB
aiti-14034	133	21	image	image	NOUN
aiti-14034	133	22	classification	classification	NOUN
aiti-14034	133	23	,	,	PUNCT
aiti-14034	133	24	object	object	NOUN
aiti-14034	133	25	detection	detection	NOUN
aiti-14034	133	26	,	,	PUNCT
aiti-14034	133	27	and	and	CCONJ
aiti-14034	133	28	feature	feature	NOUN
aiti-14034	133	29	extraction	extraction	NOUN
aiti-14034	133	30	[	[	X
aiti-14034	133	31	24	24	NUM
aiti-14034	133	32	]	]	PUNCT
aiti-14034	133	33	.	.	PUNCT
aiti-14034	134	1	while	while	SCONJ
aiti-14034	134	2	they	they	PRON
aiti-14034	134	3	have	have	VERB
aiti-14034	134	4	different	different	ADJ
aiti-14034	134	5	architectural	architectural	ADJ
aiti-14034	134	6	designs	design	NOUN
aiti-14034	134	7	,	,	PUNCT
aiti-14034	134	8	both	both	DET
aiti-14034	134	9	models	model	NOUN
aiti-14034	134	10	have	have	AUX
aiti-14034	134	11	achieved	achieve	VERB
aiti-14034	134	12	state	state	NOUN
aiti-14034	134	13	-	-	PUNCT
aiti-14034	134	14	of	of	ADP
aiti-14034	134	15	-	-	PUNCT
aiti-14034	134	16	the	the	DET
aiti-14034	134	17	-	-	PUNCT
aiti-14034	134	18	art	art	NOUN
aiti-14034	134	19	performance	performance	NOUN
aiti-14034	134	20	on	on	ADP
aiti-14034	134	21	benchmark	benchmark	ADJ
aiti-14034	134	22	datasets	dataset	NOUN
aiti-14034	134	23	.	.	PUNCT
aiti-14034	135	1	3.3.1	3.3.1	X
aiti-14034	135	2	.	.	X
aiti-14034	135	3	resnet-50	resnet-50	PROPN
aiti-14034	135	4	resnet-50	resnet-50	PROPN
aiti-14034	135	5	stands	stand	VERB
aiti-14034	135	6	for	for	ADP
aiti-14034	135	7	residual	residual	ADJ
aiti-14034	135	8	network	network	NOUN
aiti-14034	135	9	with	with	ADP
aiti-14034	135	10	50	50	NUM
aiti-14034	135	11	layers	layer	NOUN
aiti-14034	135	12	.	.	PUNCT
aiti-14034	136	1	it	it	PRON
aiti-14034	136	2	is	be	AUX
aiti-14034	136	3	a	a	DET
aiti-14034	136	4	deep	deep	ADJ
aiti-14034	136	5	residual	residual	ADJ
aiti-14034	136	6	network	network	NOUN
aiti-14034	136	7	proposed	propose	VERB
aiti-14034	136	8	by	by	ADP
aiti-14034	136	9	microsoft	microsoft	PROPN
aiti-14034	136	10	research	research	PROPN
aiti-14034	136	11	in	in	ADP
aiti-14034	136	12	2015	2015	NUM
aiti-14034	136	13	.	.	PUNCT
aiti-14034	137	1	one	one	NUM
aiti-14034	137	2	of	of	ADP
aiti-14034	137	3	the	the	DET
aiti-14034	137	4	most	most	ADV
aiti-14034	137	5	critical	critical	ADJ
aiti-14034	137	6	innovations	innovation	NOUN
aiti-14034	137	7	introduced	introduce	VERB
aiti-14034	137	8	by	by	ADP
aiti-14034	137	9	resnet-50	resnet-50	PROPN
aiti-14034	137	10	is	be	AUX
aiti-14034	137	11	residual	residual	ADJ
aiti-14034	137	12	or	or	CCONJ
aiti-14034	137	13	skip	skip	ADJ
aiti-14034	137	14	connections	connection	NOUN
aiti-14034	137	15	.	.	PUNCT
aiti-14034	138	1	these	these	DET
aiti-14034	138	2	connections	connection	NOUN
aiti-14034	138	3	enable	enable	VERB
aiti-14034	138	4	the	the	DET
aiti-14034	138	5	network	network	NOUN
aiti-14034	138	6	to	to	PART
aiti-14034	138	7	learn	learn	VERB
aiti-14034	138	8	residual	residual	ADJ
aiti-14034	138	9	mappings	mapping	NOUN
aiti-14034	138	10	,	,	PUNCT
aiti-14034	138	11	which	which	PRON
aiti-14034	138	12	are	be	AUX
aiti-14034	138	13	differences	difference	NOUN
aiti-14034	138	14	between	between	ADP
aiti-14034	138	15	a	a	DET
aiti-14034	138	16	layer	layer	NOUN
aiti-14034	138	17	's	's	PART
aiti-14034	138	18	input	input	NOUN
aiti-14034	138	19	and	and	CCONJ
aiti-14034	138	20	output	output	NOUN
aiti-14034	138	21	,	,	PUNCT
aiti-14034	138	22	instead	instead	ADV
aiti-14034	138	23	of	of	ADP
aiti-14034	138	24	learning	learn	VERB
aiti-14034	138	25	it	it	PRON
aiti-14034	138	26	directly	directly	ADV
aiti-14034	138	27	.	.	PUNCT
aiti-14034	139	1	residual	residual	ADJ
aiti-14034	139	2	connections	connection	NOUN
aiti-14034	139	3	overcome	overcome	VERB
aiti-14034	139	4	the	the	DET
aiti-14034	139	5	problem	problem	NOUN
aiti-14034	139	6	of	of	ADP
aiti-14034	139	7	vanishing	vanish	VERB
aiti-14034	139	8	gradients	gradient	NOUN
aiti-14034	139	9	during	during	ADP
aiti-14034	139	10	backpropagation	backpropagation	NOUN
aiti-14034	139	11	and	and	CCONJ
aiti-14034	139	12	allow	allow	VERB
aiti-14034	139	13	for	for	ADP
aiti-14034	139	14	the	the	DET
aiti-14034	139	15	training	training	NOUN
aiti-14034	139	16	of	of	ADP
aiti-14034	139	17	deep	deep	ADJ
aiti-14034	139	18	networks	network	NOUN
aiti-14034	139	19	.	.	PUNCT
aiti-14034	140	1	in	in	ADP
aiti-14034	140	2	the	the	DET
aiti-14034	140	3	resnet-50	resnet-50	PROPN
aiti-14034	140	4	architecture	architecture	NOUN
aiti-14034	140	5	,	,	PUNCT
aiti-14034	140	6	several	several	ADJ
aiti-14034	140	7	building	building	NOUN
aiti-14034	140	8	blocks	block	NOUN
aiti-14034	140	9	of	of	ADP
aiti-14034	140	10	residual	residual	ADJ
aiti-14034	140	11	blocks	block	NOUN
aiti-14034	140	12	are	be	AUX
aiti-14034	140	13	used	use	VERB
aiti-14034	140	14	.	.	PUNCT
aiti-14034	141	1	each	each	DET
aiti-14034	141	2	residual	residual	ADJ
aiti-14034	141	3	block	block	NOUN
aiti-14034	141	4	comprises	comprise	VERB
aiti-14034	141	5	multiple	multiple	ADJ
aiti-14034	141	6	convolutional	convolutional	ADJ
aiti-14034	141	7	layers	layer	NOUN
aiti-14034	141	8	integrated	integrate	VERB
aiti-14034	141	9	with	with	ADP
aiti-14034	141	10	batch	batch	NOUN
aiti-14034	141	11	normalization	normalization	NOUN
aiti-14034	141	12	,	,	PUNCT
aiti-14034	141	13	relu	relu	NOUN
aiti-14034	141	14	activation	activation	NOUN
aiti-14034	141	15	,	,	PUNCT
aiti-14034	141	16	and	and	CCONJ
aiti-14034	141	17	dropout	dropout	NOUN
aiti-14034	141	18	.	.	PUNCT
aiti-14034	142	1	resnet-50	resnet-50	NOUN
aiti-14034	142	2	implements	implement	NOUN
aiti-14034	142	3	skip	skip	ADJ
aiti-14034	142	4	connections	connection	NOUN
aiti-14034	142	5	to	to	PART
aiti-14034	142	6	facilitate	facilitate	VERB
aiti-14034	142	7	gradient	gradient	ADJ
aiti-14034	142	8	flow	flow	NOUN
aiti-14034	142	9	.	.	PUNCT
aiti-14034	143	1	such	such	ADJ
aiti-14034	143	2	is	be	AUX
aiti-14034	143	3	the	the	DET
aiti-14034	143	4	architecture	architecture	NOUN
aiti-14034	143	5	that	that	PRON
aiti-14034	143	6	enables	enable	VERB
aiti-14034	143	7	the	the	DET
aiti-14034	143	8	network	network	NOUN
aiti-14034	143	9	to	to	PART
aiti-14034	143	10	learn	learn	VERB
aiti-14034	143	11	more	more	ADV
aiti-14034	143	12	efficiently	efficiently	ADV
aiti-14034	143	13	and	and	CCONJ
aiti-14034	143	14	effectively	effectively	ADV
aiti-14034	143	15	.	.	PUNCT
aiti-14034	144	1	the	the	DET
aiti-14034	144	2	architecture	architecture	NOUN
aiti-14034	144	3	combines	combine	VERB
aiti-14034	144	4	global	global	ADJ
aiti-14034	144	5	average	average	ADJ
aiti-14034	144	6	pooling	pooling	NOUN
aiti-14034	144	7	and	and	CCONJ
aiti-14034	144	8	a	a	DET
aiti-14034	144	9	fully	fully	ADV
aiti-14034	144	10	connected	connect	VERB
aiti-14034	144	11	layer	layer	NOUN
aiti-14034	144	12	for	for	ADP
aiti-14034	144	13	classification	classification	NOUN
aiti-14034	144	14	.	.	PUNCT
aiti-14034	145	1	3.3.2	3.3.2	X
aiti-14034	145	2	.	.	X
aiti-14034	146	1	vgg19	vgg19	PROPN
aiti-14034	146	2	vgg19	vgg19	PROPN
aiti-14034	146	3	is	be	AUX
aiti-14034	146	4	a	a	DET
aiti-14034	146	5	dcnn	dcnn	PROPN
aiti-14034	146	6	developed	develop	VERB
aiti-14034	146	7	by	by	ADP
aiti-14034	146	8	visual	visual	ADJ
aiti-14034	146	9	geometry	geometry	NOUN
aiti-14034	146	10	group	group	NOUN
aiti-14034	146	11	,	,	PUNCT
aiti-14034	146	12	vgg	vgg	PROPN
aiti-14034	146	13	,	,	PUNCT
aiti-14034	146	14	at	at	ADP
aiti-14034	146	15	the	the	DET
aiti-14034	146	16	university	university	NOUN
aiti-14034	146	17	of	of	ADP
aiti-14034	146	18	oxford	oxford	PROPN
aiti-14034	146	19	.	.	PUNCT
aiti-14034	147	1	introduced	introduce	VERB
aiti-14034	147	2	in	in	ADP
aiti-14034	147	3	2014	2014	NUM
aiti-14034	147	4	,	,	PUNCT
aiti-14034	147	5	it	it	PRON
aiti-14034	147	6	became	became	AUX
aiti-14034	147	7	widely	widely	ADV
aiti-14034	147	8	adopted	adopt	VERB
aiti-14034	147	9	due	due	ADP
aiti-14034	147	10	to	to	ADP
aiti-14034	147	11	its	its	PRON
aiti-14034	147	12	simplicity	simplicity	NOUN
aiti-14034	147	13	and	and	CCONJ
aiti-14034	147	14	notable	notable	ADJ
aiti-14034	147	15	performance	performance	NOUN
aiti-14034	147	16	.	.	PUNCT
aiti-14034	148	1	vgg19	vgg19	PROPN
aiti-14034	148	2	is	be	AUX
aiti-14034	148	3	an	an	DET
aiti-14034	148	4	extension	extension	NOUN
aiti-14034	148	5	of	of	ADP
aiti-14034	148	6	vgg16	vgg16	NOUN
aiti-14034	148	7	,	,	PUNCT
aiti-14034	148	8	with	with	ADP
aiti-14034	148	9	19	19	NUM
aiti-14034	148	10	layers	layer	NOUN
aiti-14034	148	11	composing	compose	VERB
aiti-14034	148	12	the	the	DET
aiti-14034	148	13	architecture	architecture	NOUN
aiti-14034	148	14	[	[	X
aiti-14034	148	15	24	24	NUM
aiti-14034	148	16	]	]	PUNCT
aiti-14034	148	17	.	.	PUNCT
aiti-14034	149	1	another	another	DET
aiti-14034	149	2	critical	critical	ADJ
aiti-14034	149	3	element	element	NOUN
aiti-14034	149	4	of	of	ADP
aiti-14034	149	5	vgg19	vgg19	PROPN
aiti-14034	149	6	is	be	AUX
aiti-14034	149	7	using	use	VERB
aiti-14034	149	8	3x3	3x3	NUM
aiti-14034	149	9	convolution	convolution	NOUN
aiti-14034	149	10	filters	filter	NOUN
aiti-14034	149	11	throughout	throughout	ADP
aiti-14034	149	12	the	the	DET
aiti-14034	149	13	network	network	NOUN
aiti-14034	149	14	.	.	PUNCT
aiti-14034	150	1	this	this	DET
aiti-14034	150	2	size	size	NOUN
aiti-14034	150	3	of	of	ADP
aiti-14034	150	4	filter	filter	NOUN
aiti-14034	150	5	allows	allow	VERB
aiti-14034	150	6	deep	deep	ADJ
aiti-14034	150	7	networks	network	NOUN
aiti-14034	150	8	without	without	ADP
aiti-14034	150	9	excessively	excessively	ADV
aiti-14034	150	10	increasing	increase	VERB
aiti-14034	150	11	the	the	DET
aiti-14034	150	12	parameter	parameter	NOUN
aiti-14034	150	13	count	count	NOUN
aiti-14034	150	14	.	.	PUNCT
aiti-14034	151	1	the	the	DET
aiti-14034	151	2	architecture	architecture	NOUN
aiti-14034	151	3	consists	consist	VERB
aiti-14034	151	4	of	of	ADP
aiti-14034	151	5	a	a	DET
aiti-14034	151	6	stack	stack	NOUN
aiti-14034	151	7	of	of	ADP
aiti-14034	151	8	convolutional	convolutional	ADJ
aiti-14034	151	9	layers	layer	NOUN
aiti-14034	151	10	and	and	CCONJ
aiti-14034	151	11	a	a	DET
aiti-14034	151	12	max	max	NOUN
aiti-14034	151	13	-	-	PUNCT
aiti-14034	151	14	pooling	pool	VERB
aiti-14034	151	15	layer	layer	NOUN
aiti-14034	151	16	for	for	ADP
aiti-14034	151	17	down	down	ADV
aiti-14034	151	18	-	-	PUNCT
aiti-14034	151	19	sampling	sampling	NOUN
aiti-14034	151	20	.	.	PUNCT
aiti-14034	152	1	the	the	DET
aiti-14034	152	2	last	last	ADJ
aiti-14034	152	3	few	few	ADJ
aiti-14034	152	4	layers	layer	NOUN
aiti-14034	152	5	in	in	ADP
aiti-14034	152	6	vgg19	vgg19	PROPN
aiti-14034	152	7	are	be	AUX
aiti-14034	152	8	fully	fully	ADV
aiti-14034	152	9	connected	connect	VERB
aiti-14034	152	10	to	to	PART
aiti-14034	152	11	facilitate	facilitate	VERB
aiti-14034	152	12	the	the	DET
aiti-14034	152	13	classification	classification	NOUN
aiti-14034	152	14	task	task	NOUN
aiti-14034	152	15	.	.	PUNCT
aiti-14034	153	1	the	the	DET
aiti-14034	153	2	architecture	architecture	NOUN
aiti-14034	153	3	of	of	ADP
aiti-14034	153	4	vgg19	vgg19	PROPN
aiti-14034	153	5	is	be	AUX
aiti-14034	153	6	straightforward	straightforward	ADJ
aiti-14034	153	7	and	and	CCONJ
aiti-14034	153	8	uniform	uniform	ADJ
aiti-14034	153	9	;	;	PUNCT
aiti-14034	153	10	this	this	DET
aiti-14034	153	11	simplicity	simplicity	NOUN
aiti-14034	153	12	makes	make	VERB
aiti-14034	153	13	the	the	DET
aiti-14034	153	14	model	model	NOUN
aiti-14034	153	15	easy	easy	ADJ
aiti-14034	153	16	to	to	PART
aiti-14034	153	17	understand	understand	VERB
aiti-14034	153	18	and	and	CCONJ
aiti-14034	153	19	implement	implement	VERB
aiti-14034	153	20	.	.	PUNCT
aiti-14034	154	1	it	it	PRON
aiti-14034	154	2	provides	provide	VERB
aiti-14034	154	3	a	a	DET
aiti-14034	154	4	balanced	balanced	ADJ
aiti-14034	154	5	model	model	NOUN
aiti-14034	154	6	complexity	complexity	NOUN
aiti-14034	154	7	and	and	CCONJ
aiti-14034	154	8	performance	performance	NOUN
aiti-14034	154	9	and	and	CCONJ
aiti-14034	154	10	is	be	AUX
aiti-14034	154	11	thus	thus	ADV
aiti-14034	154	12	broadly	broadly	ADV
aiti-14034	154	13	employed	employ	VERB
aiti-14034	154	14	advances	advance	NOUN
aiti-14034	154	15	in	in	ADP
aiti-14034	154	16	technology	technology	NOUN
aiti-14034	154	17	innovation	innovation	NOUN
aiti-14034	154	18	,	,	PUNCT
aiti-14034	154	19	vol	vol	NOUN
aiti-14034	154	20	.	.	PROPN
aiti-14034	155	1	10	10	NUM
aiti-14034	155	2	,	,	PUNCT
aiti-14034	155	3	no	no	INTJ
aiti-14034	155	4	.	.	NOUN
aiti-14034	155	5	2	2	NUM
aiti-14034	155	6	,	,	PUNCT
aiti-14034	155	7	2025	2025	NUM
aiti-14034	155	8	,	,	PUNCT
aiti-14034	155	9	pp	pp	ADJ
aiti-14034	155	10	.	.	PUNCT
aiti-14034	156	1	102	102	NUM
aiti-14034	156	2	-	-	SYM
aiti-14034	156	3	117	117	NUM
aiti-14034	156	4	107	107	NUM
aiti-14034	156	5	as	as	ADP
aiti-14034	156	6	a	a	DET
aiti-14034	156	7	baseline	baseline	NOUN
aiti-14034	156	8	model	model	NOUN
aiti-14034	156	9	for	for	ADP
aiti-14034	156	10	several	several	ADJ
aiti-14034	156	11	tasks	task	NOUN
aiti-14034	156	12	in	in	ADP
aiti-14034	156	13	computer	computer	NOUN
aiti-14034	156	14	vision	vision	NOUN
aiti-14034	156	15	[	[	X
aiti-14034	156	16	24	24	NUM
aiti-14034	156	17	]	]	PUNCT
aiti-14034	156	18	.	.	PUNCT
aiti-14034	157	1	due	due	ADP
aiti-14034	157	2	to	to	ADP
aiti-14034	157	3	its	its	PRON
aiti-14034	157	4	deeper	deep	ADJ
aiti-14034	157	5	architecture	architecture	NOUN
aiti-14034	157	6	,	,	PUNCT
aiti-14034	157	7	vgg19	vgg19	PROPN
aiti-14034	157	8	contains	contain	VERB
aiti-14034	157	9	significantly	significantly	ADV
aiti-14034	157	10	more	more	ADJ
aiti-14034	157	11	parameters	parameter	NOUN
aiti-14034	157	12	than	than	ADP
aiti-14034	157	13	other	other	ADJ
aiti-14034	157	14	models	model	NOUN
aiti-14034	157	15	.	.	PUNCT
aiti-14034	158	1	resnet-50	resnet-50	NOUN
aiti-14034	158	2	and	and	CCONJ
aiti-14034	158	3	vgg19	vgg19	PROPN
aiti-14034	158	4	have	have	AUX
aiti-14034	158	5	been	be	AUX
aiti-14034	158	6	among	among	ADP
aiti-14034	158	7	computer	computer	NOUN
aiti-14034	158	8	vision	vision	NOUN
aiti-14034	158	9	's	's	PART
aiti-14034	158	10	most	most	ADV
aiti-14034	158	11	influential	influential	ADJ
aiti-14034	158	12	deep	deep	ADJ
aiti-14034	158	13	models	model	NOUN
aiti-14034	158	14	.	.	PUNCT
aiti-14034	159	1	resnet-50	resnet-50	PROPN
aiti-14034	159	2	introduced	introduce	VERB
aiti-14034	159	3	residual	residual	ADJ
aiti-14034	159	4	connections	connection	NOUN
aiti-14034	159	5	that	that	PRON
aiti-14034	159	6	enable	enable	VERB
aiti-14034	159	7	the	the	DET
aiti-14034	159	8	training	training	NOUN
aiti-14034	159	9	of	of	ADP
aiti-14034	159	10	deep	deep	ADJ
aiti-14034	159	11	networks	network	NOUN
aiti-14034	159	12	,	,	PUNCT
aiti-14034	159	13	while	while	SCONJ
aiti-14034	159	14	vgg19	vgg19	PROPN
aiti-14034	159	15	is	be	AUX
aiti-14034	159	16	straightforward	straightforward	ADJ
aiti-14034	159	17	yet	yet	CCONJ
aiti-14034	159	18	effective	effective	ADJ
aiti-14034	159	19	;	;	PUNCT
aiti-14034	159	20	thus	thus	ADV
aiti-14034	159	21	,	,	PUNCT
aiti-14034	159	22	it	it	PRON
aiti-14034	159	23	is	be	AUX
aiti-14034	159	24	perfectly	perfectly	ADV
aiti-14034	159	25	suitable	suitable	ADJ
aiti-14034	159	26	for	for	ADP
aiti-14034	159	27	use	use	NOUN
aiti-14034	159	28	as	as	ADP
aiti-14034	159	29	a	a	DET
aiti-14034	159	30	baseline	baseline	NOUN
aiti-14034	159	31	model	model	NOUN
aiti-14034	159	32	.	.	PUNCT
aiti-14034	160	1	these	these	DET
aiti-14034	160	2	models	model	NOUN
aiti-14034	160	3	have	have	AUX
aiti-14034	160	4	been	be	AUX
aiti-14034	160	5	successfully	successfully	ADV
aiti-14034	160	6	applied	apply	VERB
aiti-14034	160	7	to	to	ADP
aiti-14034	160	8	many	many	ADJ
aiti-14034	160	9	diverse	diverse	ADJ
aiti-14034	160	10	areas	area	NOUN
aiti-14034	160	11	with	with	ADP
aiti-14034	160	12	pre	pre	ADJ
aiti-14034	160	13	-	-	ADJ
aiti-14034	160	14	trained	train	VERB
aiti-14034	160	15	representations	representation	NOUN
aiti-14034	160	16	and	and	CCONJ
aiti-14034	160	17	powerful	powerful	ADJ
aiti-14034	160	18	features	feature	NOUN
aiti-14034	160	19	that	that	PRON
aiti-14034	160	20	enable	enable	VERB
aiti-14034	160	21	an	an	DET
aiti-14034	160	22	accurate	accurate	ADJ
aiti-14034	160	23	classification	classification	NOUN
aiti-14034	160	24	.	.	PUNCT
aiti-14034	161	1	4	4	X
aiti-14034	161	2	.	.	NUM
aiti-14034	161	3	proposed	propose	VERB
aiti-14034	161	4	model	model	NOUN
aiti-14034	161	5	in	in	ADP
aiti-14034	161	6	this	this	DET
aiti-14034	161	7	first	first	ADJ
aiti-14034	161	8	stage	stage	NOUN
aiti-14034	161	9	,	,	PUNCT
aiti-14034	161	10	the	the	DET
aiti-14034	161	11	goal	goal	NOUN
aiti-14034	161	12	is	be	AUX
aiti-14034	161	13	to	to	PART
aiti-14034	161	14	train	train	VERB
aiti-14034	161	15	resnet-50	resnet-50	PROPN
aiti-14034	161	16	and	and	CCONJ
aiti-14034	161	17	vgg19	vgg19	PROPN
aiti-14034	161	18	using	use	VERB
aiti-14034	161	19	a	a	DET
aiti-14034	161	20	public	public	ADJ
aiti-14034	161	21	ecg	ecg	PROPN
aiti-14034	161	22	bit	bit	NOUN
aiti-14034	161	23	dataset	dataset	NOUN
aiti-14034	161	24	containing	contain	VERB
aiti-14034	161	25	multi	multi	ADJ
aiti-14034	161	26	-	-	ADJ
aiti-14034	161	27	class	class	ADJ
aiti-14034	161	28	classification	classification	NOUN
aiti-14034	161	29	labels	label	NOUN
aiti-14034	161	30	for	for	ADP
aiti-14034	161	31	various	various	ADJ
aiti-14034	161	32	cardiac	cardiac	ADJ
aiti-14034	161	33	beats	beat	NOUN
aiti-14034	161	34	.	.	PUNCT
aiti-14034	162	1	the	the	DET
aiti-14034	162	2	beat	beat	NOUN
aiti-14034	162	3	dataset	dataset	NOUN
aiti-14034	162	4	contains	contain	VERB
aiti-14034	162	5	labeled	label	VERB
aiti-14034	162	6	ecg	ecg	PROPN
aiti-14034	162	7	signals	signal	NOUN
aiti-14034	162	8	,	,	PUNCT
aiti-14034	162	9	and	and	CCONJ
aiti-14034	162	10	every	every	DET
aiti-14034	162	11	signal	signal	NOUN
aiti-14034	162	12	corresponds	correspond	VERB
aiti-14034	162	13	to	to	ADP
aiti-14034	162	14	a	a	DET
aiti-14034	162	15	specific	specific	ADJ
aiti-14034	162	16	cardiac	cardiac	ADJ
aiti-14034	162	17	condition	condition	NOUN
aiti-14034	162	18	or	or	CCONJ
aiti-14034	162	19	beat	beat	NOUN
aiti-14034	162	20	type	type	NOUN
aiti-14034	162	21	.	.	PUNCT
aiti-14034	163	1	continuous	continuous	ADJ
aiti-14034	163	2	ecg	ecg	PROPN
aiti-14034	163	3	signals	signal	NOUN
aiti-14034	163	4	are	be	AUX
aiti-14034	163	5	segmented	segment	VERB
aiti-14034	163	6	into	into	ADP
aiti-14034	163	7	small	small	ADJ
aiti-14034	163	8	time	time	NOUN
aiti-14034	163	9	windows	window	NOUN
aiti-14034	163	10	before	before	ADP
aiti-14034	163	11	training	training	NOUN
aiti-14034	163	12	.	.	PUNCT
aiti-14034	164	1	preprocessing	preprocesse	VERB
aiti-14034	164	2	of	of	ADP
aiti-14034	164	3	the	the	DET
aiti-14034	164	4	ecg	ecg	PROPN
aiti-14034	164	5	signals	signal	NOUN
aiti-14034	164	6	is	be	AUX
aiti-14034	164	7	the	the	DET
aiti-14034	164	8	first	first	ADJ
aiti-14034	164	9	step	step	NOUN
aiti-14034	164	10	.	.	PUNCT
aiti-14034	165	1	preprocessing	preprocesse	VERB
aiti-14034	165	2	techniques	technique	NOUN
aiti-14034	165	3	include	include	VERB
aiti-14034	165	4	amplitude	amplitude	NOUN
aiti-14034	165	5	normalization	normalization	NOUN
aiti-14034	165	6	to	to	ADP
aiti-14034	165	7	a	a	DET
aiti-14034	165	8	range	range	NOUN
aiti-14034	165	9	between	between	ADP
aiti-14034	165	10	zero	zero	NUM
aiti-14034	165	11	and	and	CCONJ
aiti-14034	165	12	one	one	NUM
aiti-14034	165	13	,	,	PUNCT
aiti-14034	165	14	noise	noise	NOUN
aiti-14034	165	15	filtering	filtering	NOUN
aiti-14034	165	16	,	,	PUNCT
aiti-14034	165	17	and	and	CCONJ
aiti-14034	165	18	resampling	resample	VERB
aiti-14034	165	19	the	the	DET
aiti-14034	165	20	signals	signal	NOUN
aiti-14034	165	21	to	to	ADP
aiti-14034	165	22	the	the	DET
aiti-14034	165	23	desired	desire	VERB
aiti-14034	165	24	frequency	frequency	NOUN
aiti-14034	165	25	[	[	X
aiti-14034	165	26	23	23	NUM
aiti-14034	165	27	]	]	PUNCT
aiti-14034	165	28	.	.	PUNCT
aiti-14034	166	1	later	later	ADV
aiti-14034	166	2	,	,	PUNCT
aiti-14034	166	3	the	the	DET
aiti-14034	166	4	previously	previously	ADV
aiti-14034	166	5	pretrained	pretraine	VERB
aiti-14034	166	6	models	model	NOUN
aiti-14034	166	7	of	of	ADP
aiti-14034	166	8	resnet-50	resnet-50	PROPN
aiti-14034	166	9	and	and	CCONJ
aiti-14034	166	10	vgg19	vgg19	PROPN
aiti-14034	166	11	,	,	PUNCT
aiti-14034	166	12	which	which	PRON
aiti-14034	166	13	were	be	AUX
aiti-14034	166	14	trained	train	VERB
aiti-14034	166	15	on	on	ADP
aiti-14034	166	16	large	large	ADJ
aiti-14034	166	17	-	-	PUNCT
aiti-14034	166	18	scale	scale	NOUN
aiti-14034	166	19	datasets	dataset	NOUN
aiti-14034	166	20	of	of	ADP
aiti-14034	166	21	images	image	NOUN
aiti-14034	166	22	,	,	PUNCT
aiti-14034	166	23	are	be	AUX
aiti-14034	166	24	loaded	load	VERB
aiti-14034	166	25	.	.	PUNCT
aiti-14034	167	1	these	these	DET
aiti-14034	167	2	models	model	NOUN
aiti-14034	167	3	are	be	AUX
aiti-14034	167	4	used	use	VERB
aiti-14034	167	5	for	for	ADP
aiti-14034	167	6	initialization	initialization	NOUN
aiti-14034	167	7	for	for	ADP
aiti-14034	167	8	training	training	NOUN
aiti-14034	167	9	with	with	ADP
aiti-14034	167	10	the	the	DET
aiti-14034	167	11	ecg	ecg	PROPN
aiti-14034	167	12	bit	bit	NOUN
aiti-14034	167	13	dataset	dataset	ADJ
aiti-14034	167	14	.	.	PUNCT
aiti-14034	168	1	fine	fine	ADJ
aiti-14034	168	2	-	-	PUNCT
aiti-14034	168	3	tuning	tuning	NOUN
aiti-14034	168	4	of	of	ADP
aiti-14034	168	5	the	the	DET
aiti-14034	168	6	pre	pre	ADJ
aiti-14034	168	7	-	-	ADJ
aiti-14034	168	8	trained	train	VERB
aiti-14034	168	9	models	model	NOUN
aiti-14034	168	10	on	on	ADP
aiti-14034	168	11	the	the	DET
aiti-14034	168	12	ecg	ecg	PROPN
aiti-14034	168	13	bit	bit	NOUN
aiti-14034	168	14	dataset	dataset	NOUN
aiti-14034	168	15	is	be	AUX
aiti-14034	168	16	performed	perform	VERB
aiti-14034	168	17	using	use	VERB
aiti-14034	168	18	backpropagation	backpropagation	NOUN
aiti-14034	168	19	and	and	CCONJ
aiti-14034	168	20	gradient	gradient	ADJ
aiti-14034	168	21	descent	descent	NOUN
aiti-14034	168	22	methods	method	NOUN
aiti-14034	168	23	.	.	PUNCT
aiti-14034	169	1	in	in	ADP
aiti-14034	169	2	the	the	DET
aiti-14034	169	3	process	process	NOUN
aiti-14034	169	4	of	of	ADP
aiti-14034	169	5	fine	fine	ADV
aiti-14034	169	6	-	-	PUNCT
aiti-14034	169	7	tuning	tuning	NOUN
aiti-14034	169	8	,	,	PUNCT
aiti-14034	169	9	the	the	DET
aiti-14034	169	10	weights	weight	NOUN
aiti-14034	169	11	are	be	AUX
aiti-14034	169	12	optimized	optimize	VERB
aiti-14034	169	13	for	for	ADP
aiti-14034	169	14	the	the	DET
aiti-14034	169	15	multi	multi	ADJ
aiti-14034	169	16	-	-	ADJ
aiti-14034	169	17	class	class	ADJ
aiti-14034	169	18	classification	classification	NOUN
aiti-14034	169	19	task	task	NOUN
aiti-14034	169	20	.	.	PUNCT
aiti-14034	170	1	during	during	ADP
aiti-14034	170	2	training	training	NOUN
aiti-14034	170	3	,	,	PUNCT
aiti-14034	170	4	the	the	DET
aiti-14034	170	5	models	model	NOUN
aiti-14034	170	6	take	take	VERB
aiti-14034	170	7	ecg	ecg	PROPN
aiti-14034	170	8	signal	signal	NOUN
aiti-14034	170	9	windows	window	NOUN
aiti-14034	170	10	as	as	ADP
aiti-14034	170	11	input	input	NOUN
aiti-14034	170	12	,	,	PUNCT
aiti-14034	170	13	and	and	CCONJ
aiti-14034	170	14	the	the	DET
aiti-14034	170	15	predicted	predict	VERB
aiti-14034	170	16	beat	beat	NOUN
aiti-14034	170	17	category	category	NOUN
aiti-14034	170	18	is	be	AUX
aiti-14034	170	19	compared	compare	VERB
aiti-14034	170	20	with	with	ADP
aiti-14034	170	21	the	the	DET
aiti-14034	170	22	ground	ground	NOUN
aiti-14034	170	23	truth	truth	NOUN
aiti-14034	170	24	labels	label	NOUN
aiti-14034	170	25	.	.	PUNCT
aiti-14034	171	1	the	the	DET
aiti-14034	171	2	iterative	iterative	NOUN
aiti-14034	171	3	optimization	optimization	NOUN
aiti-14034	171	4	process	process	NOUN
aiti-14034	171	5	enables	enable	VERB
aiti-14034	171	6	the	the	DET
aiti-14034	171	7	models	model	NOUN
aiti-14034	171	8	to	to	PART
aiti-14034	171	9	learn	learn	VERB
aiti-14034	171	10	the	the	DET
aiti-14034	171	11	patterns	pattern	NOUN
aiti-14034	171	12	and	and	CCONJ
aiti-14034	171	13	features	feature	VERB
aiti-14034	171	14	indicative	indicative	ADJ
aiti-14034	171	15	of	of	ADP
aiti-14034	171	16	each	each	DET
aiti-14034	171	17	beat	beat	VERB
aiti-14034	171	18	category	category	NOUN
aiti-14034	171	19	.	.	PUNCT
aiti-14034	172	1	evaluation	evaluation	NOUN
aiti-14034	172	2	metrics	metric	NOUN
aiti-14034	172	3	such	such	ADJ
aiti-14034	172	4	as	as	ADP
aiti-14034	172	5	accuracy	accuracy	NOUN
aiti-14034	172	6	,	,	PUNCT
aiti-14034	172	7	precision	precision	NOUN
aiti-14034	172	8	,	,	PUNCT
aiti-14034	172	9	recall	recall	NOUN
aiti-14034	172	10	,	,	PUNCT
aiti-14034	172	11	and	and	CCONJ
aiti-14034	172	12	the	the	DET
aiti-14034	172	13	f1	f1	PROPN
aiti-14034	172	14	score	score	NOUN
aiti-14034	172	15	,	,	PUNCT
aiti-14034	172	16	can	can	AUX
aiti-14034	172	17	be	be	AUX
aiti-14034	172	18	used	use	VERB
aiti-14034	172	19	to	to	PART
aiti-14034	172	20	evaluate	evaluate	VERB
aiti-14034	172	21	the	the	DET
aiti-14034	172	22	performance	performance	NOUN
aiti-14034	172	23	of	of	ADP
aiti-14034	172	24	the	the	DET
aiti-14034	172	25	models	model	NOUN
aiti-14034	172	26	during	during	ADP
aiti-14034	172	27	training	training	NOUN
aiti-14034	172	28	[	[	X
aiti-14034	172	29	25	25	NUM
aiti-14034	172	30	-	-	SYM
aiti-14034	172	31	26	26	NUM
aiti-14034	172	32	]	]	PUNCT
aiti-14034	172	33	.	.	PUNCT
aiti-14034	173	1	these	these	DET
aiti-14034	173	2	parameters	parameter	NOUN
aiti-14034	173	3	indicate	indicate	VERB
aiti-14034	173	4	the	the	DET
aiti-14034	173	5	classification	classification	NOUN
aiti-14034	173	6	performance	performance	NOUN
aiti-14034	173	7	of	of	ADP
aiti-14034	173	8	the	the	DET
aiti-14034	173	9	models	model	NOUN
aiti-14034	173	10	'	'	PART
aiti-14034	173	11	different	different	ADJ
aiti-14034	173	12	types	type	NOUN
aiti-14034	173	13	of	of	ADP
aiti-14034	173	14	cardiac	cardiac	ADJ
aiti-14034	173	15	beats	beat	NOUN
aiti-14034	173	16	.	.	PUNCT
aiti-14034	174	1	training	training	NOUN
aiti-14034	174	2	resnet-50	resnet-50	PROPN
aiti-14034	174	3	and	and	CCONJ
aiti-14034	174	4	vgg19	vgg19	PROPN
aiti-14034	174	5	on	on	ADP
aiti-14034	174	6	the	the	DET
aiti-14034	174	7	ecg	ecg	PROPN
aiti-14034	174	8	bit	bit	NOUN
aiti-14034	174	9	dataset	dataset	ADJ
aiti-14034	174	10	is	be	AUX
aiti-14034	174	11	for	for	ADP
aiti-14034	174	12	obtaining	obtain	VERB
aiti-14034	174	13	a	a	DET
aiti-14034	174	14	model	model	NOUN
aiti-14034	174	15	to	to	PART
aiti-14034	174	16	accurately	accurately	ADV
aiti-14034	174	17	classify	classify	VERB
aiti-14034	174	18	multiple	multiple	ADJ
aiti-14034	174	19	categories	category	NOUN
aiti-14034	174	20	of	of	ADP
aiti-14034	174	21	ecg	ecg	PROPN
aiti-14034	174	22	signals	signal	NOUN
aiti-14034	174	23	:	:	PUNCT
aiti-14034	174	24	normal	normal	ADJ
aiti-14034	174	25	beats	beat	NOUN
aiti-14034	174	26	,	,	PUNCT
aiti-14034	174	27	supraventricular	supraventricular	ADJ
aiti-14034	174	28	premature	premature	ADJ
aiti-14034	174	29	beats	beat	NOUN
aiti-14034	174	30	,	,	PUNCT
aiti-14034	174	31	premature	premature	ADJ
aiti-14034	174	32	ventricular	ventricular	ADJ
aiti-14034	174	33	contractions	contraction	NOUN
aiti-14034	174	34	,	,	PUNCT
aiti-14034	174	35	fusion	fusion	NOUN
aiti-14034	174	36	beats	beat	NOUN
aiti-14034	174	37	,	,	PUNCT
aiti-14034	174	38	unclassifiable	unclassifiable	ADJ
aiti-14034	174	39	beats	beat	NOUN
aiti-14034	174	40	,	,	PUNCT
aiti-14034	174	41	and	and	CCONJ
aiti-14034	174	42	myocardial	myocardial	ADJ
aiti-14034	174	43	infarction	infarction	NOUN
aiti-14034	174	44	.	.	PUNCT
aiti-14034	175	1	subsequently	subsequently	ADV
aiti-14034	175	2	,	,	PUNCT
aiti-14034	175	3	an	an	DET
aiti-14034	175	4	ecg	ecg	PROPN
aiti-14034	175	5	signal	signal	NOUN
aiti-14034	175	6	is	be	AUX
aiti-14034	175	7	divided	divide	VERB
aiti-14034	175	8	into	into	ADP
aiti-14034	175	9	equal	equal	ADJ
aiti-14034	175	10	-	-	PUNCT
aiti-14034	175	11	sized	sized	ADJ
aiti-14034	175	12	window	window	NOUN
aiti-14034	175	13	fragments	fragment	NOUN
aiti-14034	175	14	to	to	PART
aiti-14034	175	15	capture	capture	VERB
aiti-14034	175	16	meaningful	meaningful	ADJ
aiti-14034	175	17	cardiac	cardiac	ADJ
aiti-14034	175	18	cycles	cycle	NOUN
aiti-14034	175	19	.	.	PUNCT
aiti-14034	176	1	each	each	DET
aiti-14034	176	2	fragment	fragment	NOUN
aiti-14034	176	3	is	be	AUX
aiti-14034	176	4	then	then	ADV
aiti-14034	176	5	converted	convert	VERB
aiti-14034	176	6	into	into	ADP
aiti-14034	176	7	a	a	DET
aiti-14034	176	8	spectrogram	spectrogram	NOUN
aiti-14034	176	9	using	use	VERB
aiti-14034	176	10	a	a	DET
aiti-14034	176	11	short	short	ADJ
aiti-14034	176	12	-	-	PUNCT
aiti-14034	176	13	time	time	NOUN
aiti-14034	176	14	fourier	fourier	NOUN
aiti-14034	176	15	transform	transform	NOUN
aiti-14034	176	16	(	(	PUNCT
aiti-14034	176	17	stft	stft	PROPN
aiti-14034	176	18	)	)	PUNCT
aiti-14034	176	19	(	(	PUNCT
aiti-14034	176	20	1	1	NUM
aiti-14034	176	21	)	)	PUNCT
aiti-14034	176	22	.	.	PUNCT
aiti-14034	177	1	this	this	PRON
aiti-14034	177	2	involves	involve	VERB
aiti-14034	177	3	computing	compute	VERB
aiti-14034	177	4	the	the	DET
aiti-14034	177	5	fourier	fourier	NOUN
aiti-14034	177	6	transform	transform	NOUN
aiti-14034	177	7	on	on	ADP
aiti-14034	177	8	short	short	ADJ
aiti-14034	177	9	and	and	CCONJ
aiti-14034	177	10	overlapping	overlap	VERB
aiti-14034	177	11	time	time	NOUN
aiti-14034	177	12	windows	window	NOUN
aiti-14034	177	13	to	to	PART
aiti-14034	177	14	produce	produce	VERB
aiti-14034	177	15	a	a	DET
aiti-14034	177	16	time	time	NOUN
aiti-14034	177	17	-	-	PUNCT
aiti-14034	177	18	frequency	frequency	NOUN
aiti-14034	177	19	representation	representation	NOUN
aiti-14034	177	20	.	.	PUNCT
aiti-14034	178	1	this	this	PRON
aiti-14034	178	2	creates	create	VERB
aiti-14034	178	3	a	a	DET
aiti-14034	178	4	visual	visual	ADJ
aiti-14034	178	5	image	image	NOUN
aiti-14034	178	6	of	of	ADP
aiti-14034	178	7	how	how	SCONJ
aiti-14034	178	8	the	the	DET
aiti-14034	178	9	frequency	frequency	NOUN
aiti-14034	178	10	content	content	NOUN
aiti-14034	178	11	of	of	ADP
aiti-14034	178	12	the	the	DET
aiti-14034	178	13	ecg	ecg	PROPN
aiti-14034	178	14	signal	signal	NOUN
aiti-14034	178	15	changes	change	NOUN
aiti-14034	178	16	over	over	ADP
aiti-14034	178	17	time	time	NOUN
aiti-14034	178	18	.	.	PUNCT
aiti-14034	179	1	the	the	DET
aiti-14034	179	2	spectrograms	spectrogram	NOUN
aiti-14034	179	3	resulting	result	VERB
aiti-14034	179	4	from	from	ADP
aiti-14034	179	5	this	this	PRON
aiti-14034	179	6	are	be	AUX
aiti-14034	179	7	well	well	ADV
aiti-14034	179	8	-	-	PUNCT
aiti-14034	179	9	suited	suit	VERB
aiti-14034	179	10	for	for	ADP
aiti-14034	179	11	use	use	NOUN
aiti-14034	179	12	with	with	ADP
aiti-14034	179	13	cnns	cnn	NOUN
aiti-14034	179	14	,	,	PUNCT
aiti-14034	179	15	as	as	SCONJ
aiti-14034	179	16	these	these	DET
aiti-14034	179	17	networks	network	NOUN
aiti-14034	179	18	can	can	AUX
aiti-14034	179	19	exploit	exploit	VERB
aiti-14034	179	20	this	this	DET
aiti-14034	179	21	rich	rich	ADJ
aiti-14034	179	22	frequency	frequency	NOUN
aiti-14034	179	23	and	and	CCONJ
aiti-14034	179	24	temporal	temporal	ADJ
aiti-14034	179	25	information	information	NOUN
aiti-14034	179	26	for	for	ADP
aiti-14034	179	27	the	the	DET
aiti-14034	179	28	classification	classification	NOUN
aiti-14034	179	29	task	task	NOUN
aiti-14034	179	30	.	.	PUNCT
aiti-14034	180	1	this	this	PRON
aiti-14034	180	2	effectively	effectively	ADV
aiti-14034	180	3	highlights	highlight	VERB
aiti-14034	180	4	patterns	pattern	NOUN
aiti-14034	180	5	that	that	PRON
aiti-14034	180	6	are	be	AUX
aiti-14034	180	7	less	less	ADV
aiti-14034	180	8	discernible	discernible	ADJ
aiti-14034	180	9	in	in	ADP
aiti-14034	180	10	the	the	DET
aiti-14034	180	11	raw	raw	ADJ
aiti-14034	180	12	waveform	waveform	NOUN
aiti-14034	180	13	and	and	CCONJ
aiti-14034	180	14	thus	thus	ADV
aiti-14034	180	15	facilitates	facilitate	VERB
aiti-14034	180	16	better	well	ADJ
aiti-14034	180	17	analysis	analysis	NOUN
aiti-14034	180	18	and	and	CCONJ
aiti-14034	180	19	interpretation	interpretation	NOUN
aiti-14034	180	20	of	of	ADP
aiti-14034	180	21	the	the	DET
aiti-14034	180	22	ecg	ecg	PROPN
aiti-14034	180	23	data	data	PROPN
aiti-14034	180	24	.	.	PUNCT
aiti-14034	181	1	2	2	NUM
aiti-14034	181	2	(	(	PUNCT
aiti-14034	181	3	(	(	PUNCT
aiti-14034	181	4	)	)	PUNCT
aiti-14034	181	5	,	,	PUNCT
aiti-14034	181	6	)	)	PUNCT
aiti-14034	181	7	)	)	PUNCT
aiti-14034	182	1	(	(	PUNCT
aiti-14034	182	2	j	j	NOUN
aiti-14034	182	3	f	f	X
aiti-14034	182	4	x	x	SYM
aiti-14034	182	5	t	t	NOUN
aiti-14034	182	6	f	f	X
aiti-14034	182	7	x	x	PROPN
aiti-14034	182	8	w	w	PROPN
aiti-14034	182	9	t	t	NOUN
aiti-14034	182	10	e	e	PROPN
aiti-14034	182	11	d	d	X
aiti-14034	182	12			PROPN
aiti-14034	182	13			NOUN
aiti-14034	182	14			NOUN
aiti-14034	182	15			NOUN
aiti-14034	182	16			VERB
aiti-14034	182	17	−	−	NOUN
aiti-14034	182	18	−	−	NOUN
aiti-14034	182	19	=	=	PUNCT
aiti-14034	182	20			ADJ
aiti-14034	182	21	−	−	NOUN
aiti-14034	182	22			PROPN
aiti-14034	182	23	(	(	PUNCT
aiti-14034	182	24	1	1	NUM
aiti-14034	182	25	)	)	PUNCT
aiti-14034	182	26	where	where	SCONJ
aiti-14034	182	27	x	x	X
aiti-14034	182	28	(	(	PUNCT
aiti-14034	182	29	τ	τ	X
aiti-14034	182	30	)	)	PUNCT
aiti-14034	182	31	is	be	AUX
aiti-14034	182	32	the	the	DET
aiti-14034	182	33	ecg	ecg	PROPN
aiti-14034	182	34	signal	signal	NOUN
aiti-14034	182	35	in	in	ADP
aiti-14034	182	36	the	the	DET
aiti-14034	182	37	time	time	NOUN
aiti-14034	182	38	domain	domain	NOUN
aiti-14034	182	39	,	,	PUNCT
aiti-14034	182	40	and	and	CCONJ
aiti-14034	182	41	𝑤	𝑤	X
aiti-14034	182	42	(	(	PUNCT
aiti-14034	182	43	𝜏	𝜏	PRON
aiti-14034	182	44	−	−	PROPN
aiti-14034	182	45	𝑡	𝑡	NOUN
aiti-14034	182	46	)	)	PUNCT
aiti-14034	182	47	is	be	AUX
aiti-14034	182	48	a	a	DET
aiti-14034	182	49	window	window	NOUN
aiti-14034	182	50	function	function	NOUN
aiti-14034	182	51	,	,	PUNCT
aiti-14034	182	52	typically	typically	ADV
aiti-14034	182	53	a	a	DET
aiti-14034	182	54	smooth	smooth	ADJ
aiti-14034	182	55	,	,	PUNCT
aiti-14034	182	56	finite	finite	ADJ
aiti-14034	182	57	-	-	ADJ
aiti-14034	182	58	duration	duration	NOUN
aiti-14034	182	59	function	function	NOUN
aiti-14034	182	60	,	,	PUNCT
aiti-14034	182	61	centered	center	VERB
aiti-14034	182	62	at	at	ADP
aiti-14034	182	63	time	time	NOUN
aiti-14034	182	64	𝑡.	𝑡.	VERB
aiti-14034	182	65	4.1	4.1	NUM
aiti-14034	182	66	.	.	PUNCT
aiti-14034	183	1	selective	selective	ADJ
aiti-14034	183	2	attention	attention	NOUN
aiti-14034	183	3	mechanism	mechanism	NOUN
aiti-14034	183	4	(	(	PUNCT
aiti-14034	183	5	sam	sam	PROPN
aiti-14034	183	6	)	)	PUNCT
aiti-14034	183	7	sam	sam	PROPN
aiti-14034	183	8	allows	allow	VERB
aiti-14034	183	9	attention	attention	NOUN
aiti-14034	183	10	to	to	PART
aiti-14034	183	11	be	be	AUX
aiti-14034	183	12	focused	focus	VERB
aiti-14034	183	13	on	on	ADP
aiti-14034	183	14	specific	specific	ADJ
aiti-14034	183	15	regions	region	NOUN
aiti-14034	183	16	or	or	CCONJ
aiti-14034	183	17	features	feature	NOUN
aiti-14034	183	18	of	of	ADP
aiti-14034	183	19	the	the	DET
aiti-14034	183	20	input	input	NOUN
aiti-14034	183	21	.	.	PUNCT
aiti-14034	184	1	a	a	DET
aiti-14034	184	2	sam	sam	NOUN
aiti-14034	184	3	in	in	ADP
aiti-14034	184	4	the	the	DET
aiti-14034	184	5	context	context	NOUN
aiti-14034	184	6	of	of	ADP
aiti-14034	184	7	ecg	ecg	PROPN
aiti-14034	184	8	signal	signal	NOUN
aiti-14034	184	9	analysis	analysis	NOUN
aiti-14034	184	10	could	could	AUX
aiti-14034	184	11	highlight	highlight	VERB
aiti-14034	184	12	the	the	DET
aiti-14034	184	13	salient	salient	NOUN
aiti-14034	184	14	patterns	pattern	NOUN
aiti-14034	184	15	or	or	CCONJ
aiti-14034	184	16	segments	segment	NOUN
aiti-14034	184	17	responsible	responsible	ADJ
aiti-14034	184	18	for	for	ADP
aiti-14034	184	19	the	the	DET
aiti-14034	184	20	accurate	accurate	ADJ
aiti-14034	184	21	classification	classification	NOUN
aiti-14034	184	22	of	of	ADP
aiti-14034	184	23	the	the	DET
aiti-14034	184	24	different	different	ADJ
aiti-14034	184	25	arrhythmia	arrhythmia	NOUN
aiti-14034	184	26	types	type	NOUN
aiti-14034	184	27	.	.	PUNCT
aiti-14034	185	1	the	the	DET
aiti-14034	185	2	selective	selective	ADJ
aiti-14034	185	3	attention	attention	NOUN
aiti-14034	185	4	mechanism	mechanism	NOUN
aiti-14034	185	5	involves	involve	VERB
aiti-14034	185	6	segmenting	segment	VERB
aiti-14034	185	7	the	the	DET
aiti-14034	185	8	ecg	ecg	PROPN
aiti-14034	185	9	signals	signal	NOUN
aiti-14034	185	10	into	into	ADP
aiti-14034	185	11	smaller	small	ADJ
aiti-14034	185	12	fragments	fragment	NOUN
aiti-14034	185	13	at	at	ADP
aiti-14034	185	14	the	the	DET
aiti-14034	185	15	front	front	ADJ
aiti-14034	185	16	end	end	NOUN
aiti-14034	185	17	(	(	PUNCT
aiti-14034	185	18	2	2	NUM
aiti-14034	185	19	)	)	PUNCT
aiti-14034	185	20	and	and	CCONJ
aiti-14034	185	21	subsequently	subsequently	ADV
aiti-14034	185	22	assigning	assign	VERB
aiti-14034	185	23	attention	attention	NOUN
aiti-14034	185	24	scores	score	NOUN
aiti-14034	185	25	to	to	ADP
aiti-14034	185	26	them	they	PRON
aiti-14034	185	27	(	(	PUNCT
aiti-14034	185	28	3	3	NUM
aiti-14034	185	29	)	)	PUNCT
aiti-14034	185	30	.	.	PUNCT
aiti-14034	186	1	the	the	DET
aiti-14034	186	2	attention	attention	NOUN
aiti-14034	186	3	scores	score	NOUN
aiti-14034	186	4	are	be	AUX
aiti-14034	186	5	computed	compute	VERB
aiti-14034	186	6	by	by	ADP
aiti-14034	186	7	assigning	assign	VERB
aiti-14034	186	8	weights	weight	NOUN
aiti-14034	186	9	to	to	ADP
aiti-14034	186	10	different	different	ADJ
aiti-14034	186	11	segments	segment	NOUN
aiti-14034	186	12	of	of	ADP
aiti-14034	186	13	the	the	DET
aiti-14034	186	14	ecg	ecg	PROPN
aiti-14034	186	15	signal	signal	NOUN
aiti-14034	186	16	.	.	PUNCT
aiti-14034	187	1	these	these	DET
aiti-14034	187	2	weights	weight	NOUN
aiti-14034	187	3	are	be	AUX
aiti-14034	187	4	determined	determine	VERB
aiti-14034	187	5	based	base	VERB
aiti-14034	187	6	on	on	ADP
aiti-14034	187	7	the	the	DET
aiti-14034	187	8	relevance	relevance	NOUN
aiti-14034	187	9	of	of	ADP
aiti-14034	187	10	each	each	DET
aiti-14034	187	11	segment	segment	NOUN
aiti-14034	187	12	to	to	ADP
aiti-14034	187	13	the	the	DET
aiti-14034	187	14	classification	classification	NOUN
aiti-14034	187	15	task	task	NOUN
aiti-14034	187	16	,	,	PUNCT
aiti-14034	187	17	advances	advance	NOUN
aiti-14034	187	18	in	in	ADP
aiti-14034	187	19	technology	technology	NOUN
aiti-14034	187	20	innovation	innovation	NOUN
aiti-14034	187	21	,	,	PUNCT
aiti-14034	187	22	vol	vol	NOUN
aiti-14034	187	23	.	.	PROPN
aiti-14034	188	1	10	10	NUM
aiti-14034	188	2	,	,	PUNCT
aiti-14034	188	3	no	no	INTJ
aiti-14034	188	4	.	.	NOUN
aiti-14034	188	5	2	2	NUM
aiti-14034	188	6	,	,	PUNCT
aiti-14034	188	7	2025	2025	NUM
aiti-14034	188	8	,	,	PUNCT
aiti-14034	188	9	pp	pp	ADJ
aiti-14034	188	10	.	.	PUNCT
aiti-14034	189	1	102	102	NUM
aiti-14034	189	2	-	-	SYM
aiti-14034	189	3	117	117	NUM
aiti-14034	189	4	108	108	NUM
aiti-14034	189	5	allowing	allow	VERB
aiti-14034	189	6	the	the	DET
aiti-14034	189	7	model	model	NOUN
aiti-14034	189	8	to	to	PART
aiti-14034	189	9	prioritize	prioritize	VERB
aiti-14034	189	10	key	key	ADJ
aiti-14034	189	11	features	feature	NOUN
aiti-14034	189	12	that	that	PRON
aiti-14034	189	13	contribute	contribute	VERB
aiti-14034	189	14	to	to	ADP
aiti-14034	189	15	identifying	identify	VERB
aiti-14034	189	16	specific	specific	ADJ
aiti-14034	189	17	arrhythmias	arrhythmia	NOUN
aiti-14034	189	18	.	.	PUNCT
aiti-14034	190	1	these	these	DET
aiti-14034	190	2	attention	attention	NOUN
aiti-14034	190	3	scores	score	NOUN
aiti-14034	190	4	indicate	indicate	VERB
aiti-14034	190	5	the	the	DET
aiti-14034	190	6	diagnostic	diagnostic	ADJ
aiti-14034	190	7	significance	significance	NOUN
aiti-14034	190	8	of	of	ADP
aiti-14034	190	9	the	the	DET
aiti-14034	190	10	segment	segment	NOUN
aiti-14034	190	11	toward	toward	ADP
aiti-14034	190	12	arrhythmia	arrhythmia	NOUN
aiti-14034	190	13	diagnosis	diagnosis	NOUN
aiti-14034	190	14	.	.	PUNCT
aiti-14034	191	1	the	the	DET
aiti-14034	191	2	segments	segment	NOUN
aiti-14034	191	3	with	with	ADP
aiti-14034	191	4	higher	high	ADJ
aiti-14034	191	5	attention	attention	NOUN
aiti-14034	191	6	scores	score	NOUN
aiti-14034	191	7	are	be	AUX
aiti-14034	191	8	considered	consider	VERB
aiti-14034	191	9	more	more	ADV
aiti-14034	191	10	informative	informative	ADJ
aiti-14034	191	11	and	and	CCONJ
aiti-14034	191	12	are	be	AUX
aiti-14034	191	13	thus	thus	ADV
aiti-14034	191	14	given	give	VERB
aiti-14034	191	15	greater	great	ADJ
aiti-14034	191	16	weights	weight	NOUN
aiti-14034	191	17	during	during	ADP
aiti-14034	191	18	classification	classification	NOUN
aiti-14034	191	19	(	(	PUNCT
aiti-14034	191	20	4	4	NUM
aiti-14034	191	21	)	)	PUNCT
aiti-14034	191	22	,	,	PUNCT
aiti-14034	191	23	(	(	PUNCT
aiti-14034	191	24	5	5	NUM
aiti-14034	191	25	)	)	PUNCT
aiti-14034	191	26	.	.	PUNCT
aiti-14034	192	1	the	the	DET
aiti-14034	192	2	one	one	NOUN
aiti-14034	192	3	with	with	ADP
aiti-14034	192	4	the	the	DET
aiti-14034	192	5	highest	high	ADJ
aiti-14034	192	6	attention	attention	NOUN
aiti-14034	192	7	score	score	NOUN
aiti-14034	192	8	is	be	AUX
aiti-14034	192	9	selected	select	VERB
aiti-14034	192	10	for	for	ADP
aiti-14034	192	11	further	further	ADJ
aiti-14034	192	12	analysis	analysis	NOUN
aiti-14034	192	13	.	.	PUNCT
aiti-14034	193	1	this	this	PRON
aiti-14034	193	2	can	can	AUX
aiti-14034	193	3	be	be	AUX
aiti-14034	193	4	realized	realize	VERB
aiti-14034	193	5	in	in	ADP
aiti-14034	193	6	ecg	ecg	PROPN
aiti-14034	193	7	signal	signal	NOUN
aiti-14034	193	8	classification	classification	NOUN
aiti-14034	193	9	by	by	ADP
aiti-14034	193	10	applying	apply	VERB
aiti-14034	193	11	a	a	DET
aiti-14034	193	12	hand	hand	NOUN
aiti-14034	193	13	-	-	PUNCT
aiti-14034	193	14	crafted	craft	VERB
aiti-14034	193	15	layer	layer	NOUN
aiti-14034	193	16	in	in	ADP
aiti-14034	193	17	a	a	DET
aiti-14034	193	18	model	model	NOUN
aiti-14034	193	19	's	's	PART
aiti-14034	193	20	architecture	architecture	NOUN
aiti-14034	193	21	:	:	PUNCT
aiti-14034	193	22	"	"	PUNCT
aiti-14034	193	23	selectiveattentionlayer	selectiveattentionlayer	NOUN
aiti-14034	193	24	(	(	PUNCT
aiti-14034	193	25	6	6	NUM
aiti-14034	193	26	)	)	PUNCT
aiti-14034	193	27	.	.	PUNCT
aiti-14034	193	28	"	"	PUNCT
aiti-14034	194	1	this	this	DET
aiti-14034	194	2	mechanism	mechanism	NOUN
aiti-14034	194	3	ensures	ensure	VERB
aiti-14034	194	4	the	the	DET
aiti-14034	194	5	model	model	NOUN
aiti-14034	194	6	's	's	PART
aiti-14034	194	7	focus	focus	NOUN
aiti-14034	194	8	on	on	ADP
aiti-14034	194	9	essential	essential	ADJ
aiti-14034	194	10	signal	signal	ADJ
aiti-14034	194	11	components	component	NOUN
aiti-14034	194	12	,	,	PUNCT
aiti-14034	194	13	enhancing	enhance	VERB
aiti-14034	194	14	its	its	PRON
aiti-14034	194	15	diagnostic	diagnostic	ADJ
aiti-14034	194	16	performance	performance	NOUN
aiti-14034	194	17	.	.	PUNCT
aiti-14034	195	1	the	the	DET
aiti-14034	195	2	ecg	ecg	PROPN
aiti-14034	195	3	segment	segment	NOUN
aiti-14034	195	4	x	x	VERB
aiti-14034	195	5	is	be	AUX
aiti-14034	195	6	divided	divide	VERB
aiti-14034	195	7	into	into	ADP
aiti-14034	195	8	n	n	ADP
aiti-14034	195	9	segments	segment	NOUN
aiti-14034	196	1			PROPN
aiti-14034	196	2	1	1	NOUN
aiti-14034	196	3	2	2	NUM
aiti-14034	196	4	3	3	NUM
aiti-14034	196	5	4	4	NUM
aiti-14034	196	6	,	,	PUNCT
aiti-14034	196	7	,	,	PUNCT
aiti-14034	196	8	,	,	PUNCT
aiti-14034	196	9	,	,	PUNCT
aiti-14034	196	10	,	,	PUNCT
aiti-14034	196	11	=	=	PUNCT
aiti-14034	196	12	nx	nx	X
aiti-14034	196	13	x	x	PUNCT
aiti-14034	196	14	x	x	PUNCT
aiti-14034	196	15	x	x	PUNCT
aiti-14034	196	16	x	x	SYM
aiti-14034	196	17	x	x	X
aiti-14034	196	18	(	(	PUNCT
aiti-14034	196	19	2	2	NUM
aiti-14034	196	20	)	)	PUNCT
aiti-14034	196	21	the	the	DET
aiti-14034	196	22	attention	attention	NOUN
aiti-14034	196	23	score	score	NOUN
aiti-14034	196	24	𝑎𝑖for	𝑎𝑖for	ADP
aiti-14034	196	25	segment	segment	NOUN
aiti-14034	196	26	𝑋𝑖	𝑋𝑖	PROPN
aiti-14034	196	27	can	can	AUX
aiti-14034	196	28	be	be	AUX
aiti-14034	196	29	represented	represent	VERB
aiti-14034	196	30	as	as	ADP
aiti-14034	196	31	1	1	NUM
aiti-14034	196	32	2	2	NUM
aiti-14034	196	33	3	3	NUM
aiti-14034	196	34	{	{	PUNCT
aiti-14034	196	35	,	,	PUNCT
aiti-14034	196	36	,	,	PUNCT
aiti-14034	196	37	,	,	PUNCT
aiti-14034	196	38	.....	.....	PUNCT
aiti-14034	196	39	,	,	PUNCT
aiti-14034	196	40	}	}	PUNCT
aiti-14034	196	41	i	i	PRON
aiti-14034	196	42	na	na	VERB
aiti-14034	196	43	a	a	DET
aiti-14034	196	44	a	a	DET
aiti-14034	196	45	a	a	DET
aiti-14034	196	46	a=	a=	ADJ
aiti-14034	196	47	(	(	PUNCT
aiti-14034	196	48	3	3	X
aiti-14034	196	49	)	)	PUNCT
aiti-14034	196	50	the	the	DET
aiti-14034	196	51	highest	high	ADJ
aiti-14034	196	52	attention	attention	NOUN
aiti-14034	196	53	score	score	NOUN
aiti-14034	196	54	𝑋𝑀𝑎𝑥	𝑋𝑀𝑎𝑥	PROPN
aiti-14034	196	55	is	be	AUX
aiti-14034	196	56	arg	arg	NOUN
aiti-14034	196	57	{	{	PUNCT
aiti-14034	196	58	}	}	PUNCT
aiti-14034	196	59	max	max	PROPN
aiti-14034	197	1	i	i	PRON
aiti-14034	197	2	i	i	INTJ
aiti-14034	197	3	x	x	VERB
aiti-14034	197	4	max	max	PROPN
aiti-14034	197	5	a=	a=	X
aiti-14034	197	6	(	(	PUNCT
aiti-14034	197	7	4	4	NUM
aiti-14034	197	8	)	)	SYM
aiti-14034	197	9	1	1	NUM
aiti-14034	197	10	n	n	DET
aiti-14034	197	11	weighted	weight	VERB
aiti-14034	197	12	i	i	PRON
aiti-14034	198	1	i	i	PRON
aiti-14034	198	2	i	i	VERB
aiti-14034	198	3	x	x	VERB
aiti-14034	198	4	a	a	PRON
aiti-14034	198	5	x	x	X
aiti-14034	198	6	=	=	SYM
aiti-14034	198	7	=	=	NOUN
aiti-14034	198	8			X
aiti-14034	198	9	(	(	PUNCT
aiti-14034	198	10	5	5	X
aiti-14034	198	11	)	)	PUNCT
aiti-14034	198	12	the	the	DET
aiti-14034	198	13	selectiveattentionlayer	selectiveattentionlayer	NOUN
aiti-14034	198	14	function	function	VERB
aiti-14034	198	15	𝑆𝐴𝑀(𝑋	𝑆𝐴𝑀(𝑋	PROPN
aiti-14034	198	16	)	)	PUNCT
aiti-14034	198	17	,	,	PUNCT
aiti-14034	198	18	taking	take	VERB
aiti-14034	198	19	x	x	PRON
aiti-14034	198	20	as	as	ADP
aiti-14034	198	21	input	input	NOUN
aiti-14034	198	22	,	,	PUNCT
aiti-14034	198	23	is	be	AUX
aiti-14034	198	24	(	(	PUNCT
aiti-14034	198	25	)	)	PUNCT
aiti-14034	198	26	weighted	weight	VERB
aiti-14034	198	27	sam	sam	PROPN
aiti-14034	198	28	x	x	PROPN
aiti-14034	198	29	x=	x=	X
aiti-14034	199	1	(	(	PUNCT
aiti-14034	199	2	6	6	NUM
aiti-14034	199	3	)	)	PUNCT
aiti-14034	199	4	4.2	4.2	NUM
aiti-14034	199	5	.	.	PUNCT
aiti-14034	200	1	deep	deep	ADJ
aiti-14034	200	2	convolutional	convolutional	ADJ
aiti-14034	200	3	neural	neural	ADJ
aiti-14034	200	4	network	network	NOUN
aiti-14034	200	5	with	with	ADP
aiti-14034	200	6	a	a	DET
aiti-14034	200	7	selective	selective	ADJ
aiti-14034	200	8	attention	attention	NOUN
aiti-14034	200	9	mechanism	mechanism	NOUN
aiti-14034	200	10	s	s	VERB
aiti-14034	200	11	the	the	DET
aiti-14034	200	12	integration	integration	NOUN
aiti-14034	200	13	of	of	ADP
aiti-14034	200	14	sam	sam	PROPN
aiti-14034	200	15	with	with	ADP
aiti-14034	200	16	the	the	DET
aiti-14034	200	17	dcnn	dcnn	PROPN
aiti-14034	200	18	presents	present	VERB
aiti-14034	200	19	a	a	DET
aiti-14034	200	20	significant	significant	ADJ
aiti-14034	200	21	advancement	advancement	NOUN
aiti-14034	200	22	in	in	ADP
aiti-14034	200	23	this	this	DET
aiti-14034	200	24	study	study	NOUN
aiti-14034	200	25	.	.	PUNCT
aiti-14034	201	1	sam	sam	PROPN
aiti-14034	201	2	enhances	enhance	VERB
aiti-14034	201	3	the	the	DET
aiti-14034	201	4	dcnn	dcnn	ADJ
aiti-14034	201	5	by	by	ADP
aiti-14034	201	6	dynamically	dynamically	ADV
aiti-14034	201	7	weighting	weight	VERB
aiti-14034	201	8	the	the	DET
aiti-14034	201	9	features	feature	NOUN
aiti-14034	201	10	extracted	extract	VERB
aiti-14034	201	11	from	from	ADP
aiti-14034	201	12	ecg	ecg	PROPN
aiti-14034	201	13	signals	signal	NOUN
aiti-14034	201	14	;	;	PUNCT
aiti-14034	201	15	thus	thus	ADV
aiti-14034	201	16	,	,	PUNCT
aiti-14034	201	17	the	the	DET
aiti-14034	201	18	model	model	NOUN
aiti-14034	201	19	can	can	AUX
aiti-14034	201	20	concentrate	concentrate	VERB
aiti-14034	201	21	its	its	PRON
aiti-14034	201	22	attention	attention	NOUN
aiti-14034	201	23	on	on	ADP
aiti-14034	201	24	the	the	DET
aiti-14034	201	25	most	most	ADV
aiti-14034	201	26	relevant	relevant	ADJ
aiti-14034	201	27	components	component	NOUN
aiti-14034	201	28	of	of	ADP
aiti-14034	201	29	the	the	DET
aiti-14034	201	30	signal	signal	NOUN
aiti-14034	201	31	,	,	PUNCT
aiti-14034	201	32	which	which	PRON
aiti-14034	201	33	improves	improve	VERB
aiti-14034	201	34	both	both	DET
aiti-14034	201	35	feature	feature	NOUN
aiti-14034	201	36	extraction	extraction	NOUN
aiti-14034	201	37	and	and	CCONJ
aiti-14034	201	38	accuracy	accuracy	NOUN
aiti-14034	201	39	in	in	ADP
aiti-14034	201	40	classification	classification	NOUN
aiti-14034	201	41	.	.	PUNCT
aiti-14034	202	1	in	in	ADP
aiti-14034	202	2	more	more	ADJ
aiti-14034	202	3	detail	detail	NOUN
aiti-14034	202	4	,	,	PUNCT
aiti-14034	202	5	sam	sam	PROPN
aiti-14034	202	6	accomplishes	accomplish	VERB
aiti-14034	202	7	this	this	PRON
aiti-14034	202	8	by	by	ADP
aiti-14034	202	9	attaching	attach	VERB
aiti-14034	202	10	the	the	DET
aiti-14034	202	11	attention	attention	NOUN
aiti-14034	202	12	score	score	NOUN
aiti-14034	202	13	to	to	ADP
aiti-14034	202	14	different	different	ADJ
aiti-14034	202	15	features	feature	NOUN
aiti-14034	202	16	,	,	PUNCT
aiti-14034	202	17	assigning	assign	VERB
aiti-14034	202	18	higher	high	ADJ
aiti-14034	202	19	priority	priority	NOUN
aiti-14034	202	20	to	to	ADP
aiti-14034	202	21	the	the	DET
aiti-14034	202	22	features	feature	NOUN
aiti-14034	202	23	that	that	PRON
aiti-14034	202	24	contribute	contribute	VERB
aiti-14034	202	25	the	the	DET
aiti-14034	202	26	most	most	ADJ
aiti-14034	202	27	to	to	ADP
aiti-14034	202	28	proper	proper	ADJ
aiti-14034	202	29	classification	classification	NOUN
aiti-14034	202	30	.	.	PUNCT
aiti-14034	203	1	this	this	DET
aiti-14034	203	2	mechanism	mechanism	NOUN
aiti-14034	203	3	is	be	AUX
aiti-14034	203	4	seamlessly	seamlessly	ADV
aiti-14034	203	5	embedded	embed	VERB
aiti-14034	203	6	within	within	ADP
aiti-14034	203	7	the	the	DET
aiti-14034	203	8	dcnn	dcnn	ADJ
aiti-14034	203	9	framework	framework	NOUN
aiti-14034	203	10	,	,	PUNCT
aiti-14034	203	11	enhancing	enhance	VERB
aiti-14034	203	12	its	its	PRON
aiti-14034	203	13	ability	ability	NOUN
aiti-14034	203	14	to	to	PART
aiti-14034	203	15	distinguish	distinguish	VERB
aiti-14034	203	16	between	between	ADP
aiti-14034	203	17	complex	complex	ADJ
aiti-14034	203	18	arrhythmic	arrhythmic	ADJ
aiti-14034	203	19	patterns	pattern	NOUN
aiti-14034	203	20	.	.	PUNCT
aiti-14034	204	1	fig	fig	NOUN
aiti-14034	204	2	.	.	PUNCT
aiti-14034	205	1	5	5	NUM
aiti-14034	205	2	vgg19	vgg19	PROPN
aiti-14034	205	3	-	-	PUNCT
aiti-14034	205	4	sam	sam	NOUN
aiti-14034	205	5	architecture	architecture	NOUN
aiti-14034	205	6	advances	advance	NOUN
aiti-14034	205	7	in	in	ADP
aiti-14034	205	8	technology	technology	NOUN
aiti-14034	205	9	innovation	innovation	NOUN
aiti-14034	205	10	,	,	PUNCT
aiti-14034	205	11	vol	vol	NOUN
aiti-14034	205	12	.	.	PROPN
aiti-14034	206	1	10	10	NUM
aiti-14034	206	2	,	,	PUNCT
aiti-14034	206	3	no	no	INTJ
aiti-14034	206	4	.	.	NOUN
aiti-14034	206	5	2	2	NUM
aiti-14034	206	6	,	,	PUNCT
aiti-14034	206	7	2025	2025	NUM
aiti-14034	206	8	,	,	PUNCT
aiti-14034	206	9	pp	pp	ADJ
aiti-14034	206	10	.	.	PUNCT
aiti-14034	207	1	102	102	NUM
aiti-14034	207	2	-	-	SYM
aiti-14034	207	3	117	117	NUM
aiti-14034	207	4	109	109	NUM
aiti-14034	207	5	the	the	DET
aiti-14034	207	6	second	second	ADJ
aiti-14034	207	7	stage	stage	NOUN
aiti-14034	207	8	centers	center	NOUN
aiti-14034	207	9	around	around	ADP
aiti-14034	207	10	the	the	DET
aiti-14034	207	11	integration	integration	NOUN
aiti-14034	207	12	of	of	ADP
aiti-14034	207	13	the	the	DET
aiti-14034	207	14	pre	pre	ADJ
aiti-14034	207	15	-	-	ADJ
aiti-14034	207	16	trained	train	VERB
aiti-14034	207	17	resnet-50	resnet-50	PROPN
aiti-14034	207	18	and	and	CCONJ
aiti-14034	207	19	vgg19	vgg19	NOUN
aiti-14034	207	20	models	model	NOUN
aiti-14034	207	21	with	with	ADP
aiti-14034	207	22	the	the	DET
aiti-14034	207	23	selective	selective	ADJ
aiti-14034	207	24	attention	attention	NOUN
aiti-14034	207	25	mechanism	mechanism	NOUN
aiti-14034	207	26	to	to	PART
aiti-14034	207	27	classify	classify	VERB
aiti-14034	207	28	ecg	ecg	PROPN
aiti-14034	207	29	data	datum	NOUN
aiti-14034	207	30	.	.	PUNCT
aiti-14034	208	1	this	this	PRON
aiti-14034	208	2	will	will	AUX
aiti-14034	208	3	leverage	leverage	VERB
aiti-14034	208	4	the	the	DET
aiti-14034	208	5	rich	rich	ADJ
aiti-14034	208	6	,	,	PUNCT
aiti-14034	208	7	learned	learn	VERB
aiti-14034	208	8	representations	representation	NOUN
aiti-14034	208	9	from	from	ADP
aiti-14034	208	10	these	these	DET
aiti-14034	208	11	pre	pre	ADJ
aiti-14034	208	12	-	-	ADJ
aiti-14034	208	13	trained	train	VERB
aiti-14034	208	14	models	model	NOUN
aiti-14034	208	15	while	while	SCONJ
aiti-14034	208	16	enhancing	enhance	VERB
aiti-14034	208	17	classification	classification	NOUN
aiti-14034	208	18	performance	performance	NOUN
aiti-14034	208	19	by	by	ADP
aiti-14034	208	20	focusing	focus	VERB
aiti-14034	208	21	on	on	ADP
aiti-14034	208	22	salient	salient	ADJ
aiti-14034	208	23	temporal	temporal	ADJ
aiti-14034	208	24	patterns	pattern	NOUN
aiti-14034	208	25	.	.	PUNCT
aiti-14034	209	1	these	these	DET
aiti-14034	209	2	pre	pre	ADJ
aiti-14034	209	3	-	-	ADJ
aiti-14034	209	4	trained	train	VERB
aiti-14034	209	5	resnet-50	resnet-50	PROPN
aiti-14034	209	6	and	and	CCONJ
aiti-14034	209	7	vgg19	vgg19	NOUN
aiti-14034	209	8	models	model	NOUN
aiti-14034	209	9	have	have	AUX
aiti-14034	209	10	learned	learn	VERB
aiti-14034	209	11	discriminative	discriminative	NOUN
aiti-14034	209	12	features	feature	NOUN
aiti-14034	209	13	from	from	ADP
aiti-14034	209	14	the	the	DET
aiti-14034	209	15	variably	variably	ADV
aiti-14034	209	16	transformed	transform	VERB
aiti-14034	209	17	ecg	ecg	PROPN
aiti-14034	209	18	signals	signal	NOUN
aiti-14034	209	19	.	.	PUNCT
aiti-14034	210	1	an	an	DET
aiti-14034	210	2	ecg	ecg	PROPN
aiti-14034	210	3	signal	signal	NOUN
aiti-14034	210	4	is	be	AUX
aiti-14034	210	5	segmented	segment	VERB
aiti-14034	210	6	into	into	ADP
aiti-14034	210	7	window	window	NOUN
aiti-14034	210	8	fragments	fragment	NOUN
aiti-14034	210	9	of	of	ADP
aiti-14034	210	10	equal	equal	ADJ
aiti-14034	210	11	size	size	NOUN
aiti-14034	210	12	;	;	PUNCT
aiti-14034	210	13	and	and	CCONJ
aiti-14034	210	14	transformed	transform	VERB
aiti-14034	210	15	into	into	ADP
aiti-14034	210	16	a	a	DET
aiti-14034	210	17	spectrogram	spectrogram	NOUN
aiti-14034	210	18	-	-	PUNCT
aiti-14034	210	19	like	like	ADJ
aiti-14034	210	20	representation	representation	NOUN
aiti-14034	210	21	.	.	PUNCT
aiti-14034	211	1	these	these	DET
aiti-14034	211	2	pre	pre	ADJ
aiti-14034	211	3	-	-	ADJ
aiti-14034	211	4	trained	train	VERB
aiti-14034	211	5	models	model	NOUN
aiti-14034	211	6	extract	extract	VERB
aiti-14034	211	7	features	feature	NOUN
aiti-14034	211	8	from	from	ADP
aiti-14034	211	9	every	every	DET
aiti-14034	211	10	segment	segment	NOUN
aiti-14034	211	11	to	to	PART
aiti-14034	211	12	capture	capture	VERB
aiti-14034	211	13	high	high	ADJ
aiti-14034	211	14	-	-	PUNCT
aiti-14034	211	15	level	level	NOUN
aiti-14034	211	16	representations	representation	NOUN
aiti-14034	211	17	in	in	ADP
aiti-14034	211	18	complete	complete	ADJ
aiti-14034	211	19	signal	signal	ADJ
aiti-14034	211	20	classification	classification	NOUN
aiti-14034	211	21	.	.	PUNCT
aiti-14034	212	1	these	these	DET
aiti-14034	212	2	features	feature	NOUN
aiti-14034	212	3	are	be	AUX
aiti-14034	212	4	input	input	NOUN
aiti-14034	212	5	into	into	ADP
aiti-14034	212	6	sam	sam	PROPN
aiti-14034	212	7	,	,	PUNCT
aiti-14034	212	8	to	to	PART
aiti-14034	212	9	select	select	VERB
aiti-14034	212	10	the	the	DET
aiti-14034	212	11	most	most	ADV
aiti-14034	212	12	relevant	relevant	ADJ
aiti-14034	212	13	segments	segment	NOUN
aiti-14034	212	14	based	base	VERB
aiti-14034	212	15	on	on	ADP
aiti-14034	212	16	their	their	PRON
aiti-14034	212	17	attention	attention	NOUN
aiti-14034	212	18	scores	score	NOUN
aiti-14034	212	19	.	.	PUNCT
aiti-14034	213	1	it	it	PRON
aiti-14034	213	2	focuses	focus	VERB
aiti-14034	213	3	on	on	ADP
aiti-14034	213	4	salient	salient	ADJ
aiti-14034	213	5	parts	part	NOUN
aiti-14034	213	6	of	of	ADP
aiti-14034	213	7	the	the	DET
aiti-14034	213	8	ecg	ecg	PROPN
aiti-14034	213	9	signal	signal	NOUN
aiti-14034	213	10	at	at	ADP
aiti-14034	213	11	different	different	ADJ
aiti-14034	213	12	steps	step	NOUN
aiti-14034	213	13	,	,	PUNCT
aiti-14034	213	14	emphasizing	emphasize	VERB
aiti-14034	213	15	patterns	pattern	NOUN
aiti-14034	213	16	that	that	PRON
aiti-14034	213	17	contribute	contribute	VERB
aiti-14034	213	18	more	more	ADV
aiti-14034	213	19	to	to	PART
aiti-14034	213	20	arrhythmia	arrhythmia	VERB
aiti-14034	213	21	classification	classification	NOUN
aiti-14034	213	22	.	.	PUNCT
aiti-14034	214	1	fig	fig	NOUN
aiti-14034	214	2	.	.	PUNCT
aiti-14034	215	1	5	5	NUM
aiti-14034	215	2	illustrates	illustrate	VERB
aiti-14034	215	3	the	the	DET
aiti-14034	215	4	integration	integration	NOUN
aiti-14034	215	5	of	of	ADP
aiti-14034	215	6	vgg19	vgg19	PROPN
aiti-14034	215	7	with	with	ADP
aiti-14034	215	8	sam	sam	PROPN
aiti-14034	215	9	.	.	PUNCT
aiti-14034	216	1	the	the	DET
aiti-14034	216	2	combination	combination	NOUN
aiti-14034	216	3	of	of	ADP
aiti-14034	216	4	the	the	DET
aiti-14034	216	5	pre	pre	ADJ
aiti-14034	216	6	-	-	ADJ
aiti-14034	216	7	trained	train	VERB
aiti-14034	216	8	models	model	NOUN
aiti-14034	216	9	with	with	ADP
aiti-14034	216	10	sam	sam	PROPN
aiti-14034	216	11	improves	improve	VERB
aiti-14034	216	12	the	the	DET
aiti-14034	216	13	accuracy	accuracy	NOUN
aiti-14034	216	14	and	and	CCONJ
aiti-14034	216	15	robustness	robustness	NOUN
aiti-14034	216	16	of	of	ADP
aiti-14034	216	17	arrhythmia	arrhythmia	NOUN
aiti-14034	216	18	classification	classification	NOUN
aiti-14034	216	19	by	by	ADP
aiti-14034	216	20	considering	consider	VERB
aiti-14034	216	21	only	only	ADV
aiti-14034	216	22	the	the	DET
aiti-14034	216	23	most	most	ADV
aiti-14034	216	24	informative	informative	ADJ
aiti-14034	216	25	segments	segment	NOUN
aiti-14034	216	26	while	while	SCONJ
aiti-14034	216	27	harnessing	harness	VERB
aiti-14034	216	28	the	the	DET
aiti-14034	216	29	benefit	benefit	NOUN
aiti-14034	216	30	of	of	ADP
aiti-14034	216	31	learned	learn	VERB
aiti-14034	216	32	representations	representation	NOUN
aiti-14034	216	33	from	from	ADP
aiti-14034	216	34	the	the	DET
aiti-14034	216	35	pre	pre	ADJ
aiti-14034	216	36	-	-	ADJ
aiti-14034	216	37	trained	train	VERB
aiti-14034	216	38	models	model	NOUN
aiti-14034	216	39	.	.	PUNCT
aiti-14034	217	1	sam	sam	PROPN
aiti-14034	217	2	improves	improve	VERB
aiti-14034	217	3	classification	classification	NOUN
aiti-14034	217	4	performance	performance	NOUN
aiti-14034	217	5	by	by	ADP
aiti-14034	217	6	highlighting	highlight	VERB
aiti-14034	217	7	salient	salient	NOUN
aiti-14034	217	8	patterns	pattern	NOUN
aiti-14034	217	9	in	in	ADP
aiti-14034	217	10	the	the	DET
aiti-14034	217	11	ecg	ecg	PROPN
aiti-14034	217	12	signal	signal	NOUN
aiti-14034	217	13	,	,	PUNCT
aiti-14034	217	14	as	as	SCONJ
aiti-14034	217	15	illustrated	illustrate	VERB
aiti-14034	217	16	in	in	ADP
aiti-14034	217	17	fig	fig	NOUN
aiti-14034	217	18	.	.	PUNCT
aiti-14034	218	1	6	6	NUM
aiti-14034	218	2	.	.	X
aiti-14034	218	3	it	it	PRON
aiti-14034	218	4	can	can	AUX
aiti-14034	218	5	effectively	effectively	ADV
aiti-14034	218	6	utilize	utilize	VERB
aiti-14034	218	7	informative	informative	ADJ
aiti-14034	218	8	segments	segment	NOUN
aiti-14034	218	9	to	to	PART
aiti-14034	218	10	identify	identify	VERB
aiti-14034	218	11	and	and	CCONJ
aiti-14034	218	12	classify	classify	VERB
aiti-14034	218	13	arrhythmia	arrhythmia	NOUN
aiti-14034	218	14	correctly	correctly	ADV
aiti-14034	218	15	.	.	PUNCT
aiti-14034	219	1	the	the	DET
aiti-14034	219	2	model	model	NOUN
aiti-14034	219	3	may	may	AUX
aiti-14034	219	4	finally	finally	ADV
aiti-14034	219	5	identify	identify	VERB
aiti-14034	219	6	the	the	DET
aiti-14034	219	7	relevant	relevant	ADJ
aiti-14034	219	8	segments	segment	NOUN
aiti-14034	219	9	strongly	strongly	ADV
aiti-14034	219	10	and	and	CCONJ
aiti-14034	219	11	give	give	VERB
aiti-14034	219	12	insights	insight	NOUN
aiti-14034	219	13	into	into	ADP
aiti-14034	219	14	the	the	DET
aiti-14034	219	15	existence	existence	NOUN
aiti-14034	219	16	and	and	CCONJ
aiti-14034	219	17	type	type	NOUN
aiti-14034	219	18	of	of	ADP
aiti-14034	219	19	arrhythmia	arrhythmia	NOUN
aiti-14034	219	20	,	,	PUNCT
aiti-14034	219	21	thereby	thereby	ADV
aiti-14034	219	22	helping	help	VERB
aiti-14034	219	23	in	in	ADP
aiti-14034	219	24	making	make	VERB
aiti-14034	219	25	more	more	ADV
aiti-14034	219	26	accurate	accurate	ADJ
aiti-14034	219	27	diagnostic	diagnostic	ADJ
aiti-14034	219	28	decisions	decision	NOUN
aiti-14034	219	29	.	.	PUNCT
aiti-14034	220	1	further	further	ADJ
aiti-14034	220	2	work	work	NOUN
aiti-14034	220	3	in	in	ADP
aiti-14034	220	4	this	this	DET
aiti-14034	220	5	area	area	NOUN
aiti-14034	220	6	aims	aim	VERB
aiti-14034	220	7	to	to	PART
aiti-14034	220	8	optimize	optimize	VERB
aiti-14034	220	9	the	the	DET
aiti-14034	220	10	integration	integration	NOUN
aiti-14034	220	11	of	of	ADP
aiti-14034	220	12	a	a	DET
aiti-14034	220	13	pre	pre	ADJ
aiti-14034	220	14	-	-	ADJ
aiti-14034	220	15	trained	train	VERB
aiti-14034	220	16	model	model	NOUN
aiti-14034	220	17	with	with	ADP
aiti-14034	220	18	sam	sam	PROPN
aiti-14034	220	19	by	by	ADP
aiti-14034	220	20	investigating	investigate	VERB
aiti-14034	220	21	variations	variation	NOUN
aiti-14034	220	22	or	or	CCONJ
aiti-14034	220	23	adaptations	adaptation	NOUN
aiti-14034	220	24	specific	specific	ADJ
aiti-14034	220	25	to	to	ADP
aiti-14034	220	26	ecg	ecg	PROPN
aiti-14034	220	27	signal	signal	ADJ
aiti-14034	220	28	analysis	analysis	NOUN
aiti-14034	220	29	.	.	PUNCT
aiti-14034	221	1	these	these	DET
aiti-14034	221	2	developments	development	NOUN
aiti-14034	221	3	have	have	AUX
aiti-14034	221	4	been	be	AUX
aiti-14034	221	5	crucial	crucial	ADJ
aiti-14034	221	6	in	in	ADP
aiti-14034	221	7	enhancing	enhance	VERB
aiti-14034	221	8	precision	precision	NOUN
aiti-14034	221	9	and	and	CCONJ
aiti-14034	221	10	speed	speed	NOUN
aiti-14034	221	11	in	in	ADP
aiti-14034	221	12	arrhythmia	arrhythmia	NOUN
aiti-14034	221	13	diagnosis	diagnosis	NOUN
aiti-14034	221	14	and	and	CCONJ
aiti-14034	221	15	thereby	thereby	ADV
aiti-14034	221	16	advancing	advance	VERB
aiti-14034	221	17	cardiovascular	cardiovascular	ADJ
aiti-14034	221	18	care	care	NOUN
aiti-14034	221	19	.	.	PUNCT
aiti-14034	222	1	fig	fig	NOUN
aiti-14034	222	2	.	.	PUNCT
aiti-14034	223	1	6	6	NUM
aiti-14034	223	2	flow	flow	NOUN
aiti-14034	223	3	chart	chart	NOUN
aiti-14034	223	4	of	of	ADP
aiti-14034	223	5	the	the	DET
aiti-14034	223	6	proposed	propose	VERB
aiti-14034	223	7	model	model	NOUN
aiti-14034	223	8	in	in	ADP
aiti-14034	223	9	clinical	clinical	ADJ
aiti-14034	223	10	settings	setting	NOUN
aiti-14034	223	11	,	,	PUNCT
aiti-14034	223	12	the	the	DET
aiti-14034	223	13	computational	computational	ADJ
aiti-14034	223	14	costs	cost	NOUN
aiti-14034	223	15	and	and	CCONJ
aiti-14034	223	16	complexity	complexity	NOUN
aiti-14034	223	17	of	of	ADP
aiti-14034	223	18	models	model	NOUN
aiti-14034	223	19	like	like	ADP
aiti-14034	223	20	vgg19	vgg19	PROPN
aiti-14034	223	21	and	and	CCONJ
aiti-14034	223	22	resnet-50	resnet-50	PROPN
aiti-14034	223	23	must	must	AUX
aiti-14034	223	24	be	be	AUX
aiti-14034	223	25	considered	consider	VERB
aiti-14034	223	26	.	.	PUNCT
aiti-14034	224	1	vgg19	vgg19	PROPN
aiti-14034	224	2	,	,	PUNCT
aiti-14034	224	3	with	with	ADP
aiti-14034	224	4	its	its	PRON
aiti-14034	224	5	143	143	NUM
aiti-14034	224	6	million	million	NUM
aiti-14034	224	7	parameters	parameter	NOUN
aiti-14034	224	8	,	,	PUNCT
aiti-14034	224	9	requires	require	VERB
aiti-14034	224	10	substantial	substantial	ADJ
aiti-14034	224	11	computational	computational	ADJ
aiti-14034	224	12	resources	resource	NOUN
aiti-14034	224	13	,	,	PUNCT
aiti-14034	224	14	whereas	whereas	SCONJ
aiti-14034	224	15	resnet-50	resnet-50	NOUN
aiti-14034	224	16	,	,	PUNCT
aiti-14034	224	17	with	with	ADP
aiti-14034	224	18	25	25	NUM
aiti-14034	224	19	million	million	NUM
aiti-14034	224	20	parameters	parameter	NOUN
aiti-14034	224	21	,	,	PUNCT
aiti-14034	224	22	offers	offer	VERB
aiti-14034	224	23	a	a	DET
aiti-14034	224	24	more	more	ADV
aiti-14034	224	25	efficient	efficient	ADJ
aiti-14034	224	26	option	option	NOUN
aiti-14034	224	27	for	for	ADP
aiti-14034	224	28	real	real	ADJ
aiti-14034	224	29	-	-	PUNCT
aiti-14034	224	30	time	time	NOUN
aiti-14034	224	31	diagnostics	diagnostic	NOUN
aiti-14034	224	32	.	.	PUNCT
aiti-14034	225	1	by	by	ADP
aiti-14034	225	2	integrating	integrate	VERB
aiti-14034	225	3	a	a	DET
aiti-14034	225	4	selective	selective	ADJ
aiti-14034	225	5	attention	attention	NOUN
aiti-14034	225	6	mechanism	mechanism	NOUN
aiti-14034	225	7	(	(	PUNCT
aiti-14034	225	8	sam	sam	PROPN
aiti-14034	225	9	)	)	PUNCT
aiti-14034	225	10	,	,	PUNCT
aiti-14034	225	11	the	the	DET
aiti-14034	225	12	interpretability	interpretability	NOUN
aiti-14034	225	13	of	of	ADP
aiti-14034	225	14	these	these	DET
aiti-14034	225	15	models	model	NOUN
aiti-14034	225	16	is	be	AUX
aiti-14034	225	17	significantly	significantly	ADV
aiti-14034	225	18	enhanced	enhance	VERB
aiti-14034	225	19	.	.	PUNCT
aiti-14034	226	1	sam	sam	PROPN
aiti-14034	226	2	focuses	focus	VERB
aiti-14034	226	3	on	on	ADP
aiti-14034	226	4	the	the	DET
aiti-14034	226	5	most	most	ADV
aiti-14034	226	6	relevant	relevant	ADJ
aiti-14034	226	7	parts	part	NOUN
aiti-14034	226	8	of	of	ADP
aiti-14034	226	9	the	the	DET
aiti-14034	226	10	ecg	ecg	PROPN
aiti-14034	226	11	signal	signal	NOUN
aiti-14034	226	12	,	,	PUNCT
aiti-14034	226	13	providing	provide	VERB
aiti-14034	226	14	attention	attention	NOUN
aiti-14034	226	15	maps	map	NOUN
aiti-14034	226	16	that	that	PRON
aiti-14034	226	17	align	align	VERB
aiti-14034	226	18	with	with	ADP
aiti-14034	226	19	clinical	clinical	ADJ
aiti-14034	226	20	reasoning	reasoning	NOUN
aiti-14034	226	21	.	.	PUNCT
aiti-14034	227	1	this	this	DET
aiti-14034	227	2	approach	approach	NOUN
aiti-14034	227	3	not	not	PART
aiti-14034	227	4	only	only	ADV
aiti-14034	227	5	improves	improve	VERB
aiti-14034	227	6	diagnostic	diagnostic	ADJ
aiti-14034	227	7	accuracy	accuracy	NOUN
aiti-14034	227	8	but	but	CCONJ
aiti-14034	227	9	also	also	ADV
aiti-14034	227	10	increases	increase	VERB
aiti-14034	227	11	transparency	transparency	NOUN
aiti-14034	227	12	,	,	PUNCT
aiti-14034	227	13	fostering	foster	VERB
aiti-14034	227	14	trust	trust	NOUN
aiti-14034	227	15	in	in	ADP
aiti-14034	227	16	automated	automate	VERB
aiti-14034	227	17	systems	system	NOUN
aiti-14034	227	18	.	.	PUNCT
aiti-14034	228	1	by	by	ADP
aiti-14034	228	2	aligning	align	VERB
aiti-14034	228	3	machine	machine	NOUN
aiti-14034	228	4	predictions	prediction	NOUN
aiti-14034	228	5	with	with	ADP
aiti-14034	228	6	human	human	ADJ
aiti-14034	228	7	reasoning	reasoning	NOUN
aiti-14034	228	8	,	,	PUNCT
aiti-14034	228	9	sam	sam	PROPN
aiti-14034	228	10	bridges	bridge	VERB
aiti-14034	228	11	the	the	DET
aiti-14034	228	12	gap	gap	NOUN
aiti-14034	228	13	between	between	ADP
aiti-14034	228	14	model	model	NOUN
aiti-14034	228	15	outputs	output	NOUN
aiti-14034	228	16	and	and	CCONJ
aiti-14034	228	17	clinical	clinical	ADJ
aiti-14034	228	18	insight	insight	NOUN
aiti-14034	228	19	,	,	PUNCT
aiti-14034	228	20	making	make	VERB
aiti-14034	228	21	automated	automate	VERB
aiti-14034	228	22	diagnostics	diagnostic	NOUN
aiti-14034	228	23	more	more	ADV
aiti-14034	228	24	reliable	reliable	ADJ
aiti-14034	228	25	.	.	PUNCT
aiti-14034	229	1	advances	advance	NOUN
aiti-14034	229	2	in	in	ADP
aiti-14034	229	3	technology	technology	NOUN
aiti-14034	229	4	innovation	innovation	NOUN
aiti-14034	229	5	,	,	PUNCT
aiti-14034	229	6	vol	vol	NOUN
aiti-14034	229	7	.	.	PROPN
aiti-14034	230	1	10	10	NUM
aiti-14034	230	2	,	,	PUNCT
aiti-14034	230	3	no	no	INTJ
aiti-14034	230	4	.	.	NOUN
aiti-14034	230	5	2	2	NUM
aiti-14034	230	6	,	,	PUNCT
aiti-14034	230	7	2025	2025	NUM
aiti-14034	230	8	,	,	PUNCT
aiti-14034	230	9	pp	pp	ADJ
aiti-14034	230	10	.	.	PUNCT
aiti-14034	231	1	102	102	NUM
aiti-14034	231	2	-	-	SYM
aiti-14034	231	3	117	117	NUM
aiti-14034	231	4	110	110	NUM
aiti-14034	231	5	4.3	4.3	NUM
aiti-14034	231	6	.	.	PUNCT
aiti-14034	231	7	evaluation	evaluation	NOUN
aiti-14034	231	8	metrics	metric	NOUN
aiti-14034	231	9	the	the	DET
aiti-14034	231	10	evaluation	evaluation	NOUN
aiti-14034	231	11	metrics	metric	NOUN
aiti-14034	231	12	used	use	VERB
aiti-14034	231	13	in	in	ADP
aiti-14034	231	14	this	this	DET
aiti-14034	231	15	paper	paper	NOUN
aiti-14034	231	16	are	be	AUX
aiti-14034	231	17	as	as	SCONJ
aiti-14034	231	18	follows	follow	VERB
aiti-14034	231	19	[	[	X
aiti-14034	231	20	26	26	NUM
aiti-14034	231	21	]	]	PUNCT
aiti-14034	231	22	:	:	PUNCT
aiti-14034	231	23	accuracy	accuracy	NOUN
aiti-14034	231	24	(	(	PUNCT
aiti-14034	231	25	7	7	NUM
aiti-14034	231	26	):	):	PUNCT
aiti-14034	231	27	the	the	DET
aiti-14034	231	28	proportion	proportion	NOUN
aiti-14034	231	29	of	of	ADP
aiti-14034	231	30	true	true	ADJ
aiti-14034	231	31	results	result	NOUN
aiti-14034	231	32	(	(	PUNCT
aiti-14034	231	33	both	both	CCONJ
aiti-14034	231	34	true	true	ADJ
aiti-14034	231	35	positives	positive	NOUN
aiti-14034	231	36	and	and	CCONJ
aiti-14034	231	37	true	true	ADJ
aiti-14034	231	38	negatives	negative	NOUN
aiti-14034	231	39	)	)	PUNCT
aiti-14034	231	40	among	among	ADP
aiti-14034	231	41	the	the	DET
aiti-14034	231	42	total	total	ADJ
aiti-14034	231	43	number	number	NOUN
aiti-14034	231	44	of	of	ADP
aiti-14034	231	45	cases	case	NOUN
aiti-14034	231	46	examined	examine	VERB
aiti-14034	231	47	.	.	PUNCT
aiti-14034	232	1	100	100	NUM
aiti-14034	232	2	tp	tp	PART
aiti-14034	232	3	tn	tn	NOUN
aiti-14034	232	4	accuracy	accuracy	NOUN
aiti-14034	232	5	x	x	INTJ
aiti-14034	232	6	tp	tp	ADP
aiti-14034	232	7	tn	tn	PROPN
aiti-14034	232	8	fp	fp	PROPN
aiti-14034	232	9	fn	fn	NOUN
aiti-14034	233	1	+	+	NOUN
aiti-14034	233	2	=	=	PUNCT
aiti-14034	234	1	+	+	PUNCT
aiti-14034	234	2	+	+	PUNCT
aiti-14034	234	3	+	+	CCONJ
aiti-14034	234	4	(	(	PUNCT
aiti-14034	234	5	7	7	NUM
aiti-14034	234	6	)	)	PUNCT
aiti-14034	234	7	where	where	SCONJ
aiti-14034	234	8	tp	tp	NOUN
aiti-14034	234	9	is	be	AUX
aiti-14034	234	10	true	true	ADJ
aiti-14034	234	11	positives	positive	NOUN
aiti-14034	234	12	,	,	PUNCT
aiti-14034	234	13	fp	fp	X
aiti-14034	234	14	is	be	AUX
aiti-14034	234	15	false	false	ADJ
aiti-14034	234	16	positives	positive	NOUN
aiti-14034	234	17	,	,	PUNCT
aiti-14034	234	18	fn	fn	NOUN
aiti-14034	234	19	is	be	AUX
aiti-14034	234	20	false	false	ADJ
aiti-14034	234	21	negatives	negative	NOUN
aiti-14034	234	22	,	,	PUNCT
aiti-14034	234	23	and	and	CCONJ
aiti-14034	234	24	tn	tn	NOUN
aiti-14034	234	25	is	be	AUX
aiti-14034	234	26	true	true	ADJ
aiti-14034	234	27	negatives	negative	NOUN
aiti-14034	234	28	.	.	PUNCT
aiti-14034	235	1	recall	recall	NOUN
aiti-14034	235	2	(	(	PUNCT
aiti-14034	235	3	8)	8)	NUM
aiti-14034	235	4	:	:	PUNCT
aiti-14034	235	5	the	the	DET
aiti-14034	235	6	proportion	proportion	NOUN
aiti-14034	235	7	of	of	ADP
aiti-14034	235	8	true	true	ADJ
aiti-14034	235	9	positives	positive	NOUN
aiti-14034	235	10	among	among	ADP
aiti-14034	235	11	the	the	DET
aiti-14034	235	12	total	total	ADJ
aiti-14034	235	13	number	number	NOUN
aiti-14034	235	14	of	of	ADP
aiti-14034	235	15	actual	actual	ADJ
aiti-14034	235	16	positives	positive	NOUN
aiti-14034	235	17	.	.	PUNCT
aiti-14034	236	1	re	re	ADP
aiti-14034	236	2	100	100	NUM
aiti-14034	236	3	tp	tp	PART
aiti-14034	236	4	call	call	VERB
aiti-14034	236	5	x	x	PROPN
aiti-14034	236	6	tp	tp	ADP
aiti-14034	236	7	fn	fn	NOUN
aiti-14034	236	8	=	=	PUNCT
aiti-14034	237	1	+	+	CCONJ
aiti-14034	237	2	(	(	PUNCT
aiti-14034	237	3	8)	8)	NUM
aiti-14034	237	4	precision	precision	NOUN
aiti-14034	237	5	(	(	PUNCT
aiti-14034	237	6	9	9	NUM
aiti-14034	237	7	):	):	PUNCT
aiti-14034	237	8	the	the	DET
aiti-14034	237	9	proportion	proportion	NOUN
aiti-14034	237	10	of	of	ADP
aiti-14034	237	11	true	true	ADJ
aiti-14034	237	12	positives	positive	NOUN
aiti-14034	237	13	among	among	ADP
aiti-14034	237	14	the	the	DET
aiti-14034	237	15	total	total	ADJ
aiti-14034	237	16	number	number	NOUN
aiti-14034	237	17	of	of	ADP
aiti-14034	237	18	positive	positive	ADJ
aiti-14034	237	19	predictions	prediction	NOUN
aiti-14034	237	20	.	.	PUNCT
aiti-14034	238	1	pr	pr	VERB
aiti-14034	238	2	100	100	NUM
aiti-14034	238	3	tp	tp	ADP
aiti-14034	238	4	ecision	ecision	NOUN
aiti-14034	238	5	x	x	INTJ
aiti-14034	238	6	tp	tp	ADP
aiti-14034	238	7	fp	fp	PROPN
aiti-14034	238	8	=	=	PUNCT
aiti-14034	239	1	+	+	CCONJ
aiti-14034	239	2	(	(	PUNCT
aiti-14034	239	3	9	9	X
aiti-14034	239	4	)	)	PUNCT
aiti-14034	239	5	specificity	specificity	NOUN
aiti-14034	239	6	(	(	PUNCT
aiti-14034	239	7	10	10	NUM
aiti-14034	239	8	):	):	PUNCT
aiti-14034	239	9	the	the	DET
aiti-14034	239	10	proportion	proportion	NOUN
aiti-14034	239	11	of	of	ADP
aiti-14034	239	12	true	true	ADJ
aiti-14034	239	13	negatives	negative	NOUN
aiti-14034	239	14	among	among	ADP
aiti-14034	239	15	the	the	DET
aiti-14034	239	16	total	total	ADJ
aiti-14034	239	17	number	number	NOUN
aiti-14034	239	18	of	of	ADP
aiti-14034	239	19	actual	actual	ADJ
aiti-14034	239	20	negatives	negative	NOUN
aiti-14034	239	21	.	.	PUNCT
aiti-14034	240	1	100	100	NUM
aiti-14034	240	2	tn	tn	NOUN
aiti-14034	240	3	specificity	specificity	NOUN
aiti-14034	240	4	x	x	X
aiti-14034	240	5	tn	tn	NOUN
aiti-14034	240	6	fp	fp	PROPN
aiti-14034	240	7	=	=	SYM
aiti-14034	241	1	+	+	CCONJ
aiti-14034	241	2	(	(	PUNCT
aiti-14034	241	3	10	10	NUM
aiti-14034	241	4	)	)	PUNCT
aiti-14034	241	5	f1	f1	NOUN
aiti-14034	241	6	score	score	NOUN
aiti-14034	241	7	(	(	PUNCT
aiti-14034	241	8	11	11	NUM
aiti-14034	241	9	):	):	PUNCT
aiti-14034	241	10	the	the	DET
aiti-14034	241	11	harmonic	harmonic	ADJ
aiti-14034	241	12	mean	mean	NOUN
aiti-14034	241	13	of	of	ADP
aiti-14034	241	14	precision	precision	NOUN
aiti-14034	241	15	and	and	CCONJ
aiti-14034	241	16	recall	recall	VERB
aiti-14034	241	17	1	1	NUM
aiti-14034	241	18	100	100	NUM
aiti-14034	241	19	1	1	NUM
aiti-14034	241	20	(	(	PUNCT
aiti-14034	241	21	)	)	PUNCT
aiti-14034	241	22	2	2	NUM
aiti-14034	241	23	tp	tp	PART
aiti-14034	241	24	f	f	PROPN
aiti-14034	241	25	score	score	NOUN
aiti-14034	241	26	x	x	PROPN
aiti-14034	241	27	tp	tp	ADP
aiti-14034	241	28	fp	fp	INTJ
aiti-14034	241	29	fn	fn	NOUN
aiti-14034	241	30	−	−	PROPN
aiti-14034	241	31	=	=	PUNCT
aiti-14034	242	1	+	+	PUNCT
aiti-14034	242	2	+	+	CCONJ
aiti-14034	242	3	(	(	PUNCT
aiti-14034	242	4	11	11	NUM
aiti-14034	242	5	)	)	PUNCT
aiti-14034	242	6	the	the	DET
aiti-14034	242	7	receiver	receiver	NOUN
aiti-14034	242	8	operating	operate	VERB
aiti-14034	242	9	characteristic	characteristic	NOUN
aiti-14034	243	1	(	(	PUNCT
aiti-14034	243	2	roc	roc	PROPN
aiti-14034	243	3	)	)	PUNCT
aiti-14034	243	4	curve	curve	NOUN
aiti-14034	243	5	plots	plot	VERB
aiti-14034	243	6	the	the	DET
aiti-14034	243	7	true	true	ADJ
aiti-14034	243	8	positive	positive	ADJ
aiti-14034	243	9	rate	rate	NOUN
aiti-14034	243	10	(	(	PUNCT
aiti-14034	243	11	recall	recall	NOUN
aiti-14034	243	12	)	)	PUNCT
aiti-14034	243	13	against	against	ADP
aiti-14034	243	14	the	the	DET
aiti-14034	243	15	false	false	ADJ
aiti-14034	243	16	positive	positive	ADJ
aiti-14034	243	17	rate	rate	NOUN
aiti-14034	243	18	to	to	PART
aiti-14034	243	19	evaluate	evaluate	VERB
aiti-14034	243	20	a	a	DET
aiti-14034	243	21	binary	binary	NOUN
aiti-14034	243	22	classifier	classifier	NOUN
aiti-14034	243	23	's	's	PART
aiti-14034	243	24	performance	performance	NOUN
aiti-14034	243	25	across	across	ADP
aiti-14034	243	26	different	different	ADJ
aiti-14034	243	27	threshold	threshold	NOUN
aiti-14034	243	28	values	value	NOUN
aiti-14034	243	29	.	.	PUNCT
aiti-14034	244	1	5	5	X
aiti-14034	244	2	.	.	X
aiti-14034	244	3	results	result	VERB
aiti-14034	244	4	experimental	experimental	ADJ
aiti-14034	244	5	results	result	NOUN
aiti-14034	244	6	demonstrate	demonstrate	VERB
aiti-14034	244	7	the	the	DET
aiti-14034	244	8	superiority	superiority	NOUN
aiti-14034	244	9	of	of	ADP
aiti-14034	244	10	the	the	DET
aiti-14034	244	11	proposed	propose	VERB
aiti-14034	244	12	approach	approach	NOUN
aiti-14034	244	13	over	over	ADP
aiti-14034	244	14	traditional	traditional	ADJ
aiti-14034	244	15	methods	method	NOUN
aiti-14034	244	16	for	for	ADP
aiti-14034	244	17	arrhythmia	arrhythmia	NOUN
aiti-14034	244	18	diagnosis	diagnosis	NOUN
aiti-14034	244	19	.	.	PUNCT
aiti-14034	245	1	utilizing	utilize	VERB
aiti-14034	245	2	a	a	DET
aiti-14034	245	3	dcnn	dcnn	NOUN
aiti-14034	245	4	with	with	ADP
aiti-14034	245	5	a	a	DET
aiti-14034	245	6	sam	sam	PROPN
aiti-14034	245	7	for	for	ADP
aiti-14034	245	8	arrhythmia	arrhythmia	NOUN
aiti-14034	245	9	diagnosis	diagnosis	NOUN
aiti-14034	245	10	has	have	AUX
aiti-14034	245	11	shown	show	VERB
aiti-14034	245	12	promising	promising	ADJ
aiti-14034	245	13	results	result	NOUN
aiti-14034	245	14	in	in	ADP
aiti-14034	245	15	ecg	ecg	PROPN
aiti-14034	245	16	signal	signal	ADJ
aiti-14034	245	17	classification	classification	NOUN
aiti-14034	245	18	.	.	PUNCT
aiti-14034	246	1	the	the	DET
aiti-14034	246	2	combination	combination	NOUN
aiti-14034	246	3	of	of	ADP
aiti-14034	246	4	these	these	DET
aiti-14034	246	5	techniques	technique	NOUN
aiti-14034	246	6	enhances	enhance	VERB
aiti-14034	246	7	accuracy	accuracy	NOUN
aiti-14034	246	8	by	by	ADP
aiti-14034	246	9	capturing	capture	VERB
aiti-14034	246	10	important	important	ADJ
aiti-14034	246	11	temporal	temporal	ADJ
aiti-14034	246	12	patterns	pattern	NOUN
aiti-14034	246	13	in	in	ADP
aiti-14034	246	14	the	the	DET
aiti-14034	246	15	signals	signal	NOUN
aiti-14034	246	16	.	.	PUNCT
aiti-14034	247	1	pretrained	pretraine	VERB
aiti-14034	247	2	networks	network	NOUN
aiti-14034	247	3	extract	extract	VERB
aiti-14034	247	4	discriminative	discriminative	NOUN
aiti-14034	247	5	features	feature	NOUN
aiti-14034	247	6	,	,	PUNCT
aiti-14034	247	7	while	while	SCONJ
aiti-14034	247	8	the	the	DET
aiti-14034	247	9	sam	sam	PROPN
aiti-14034	247	10	highlights	highlight	VERB
aiti-14034	247	11	relevant	relevant	ADJ
aiti-14034	247	12	segments	segment	NOUN
aiti-14034	247	13	.	.	PUNCT
aiti-14034	248	1	the	the	DET
aiti-14034	248	2	evaluation	evaluation	NOUN
aiti-14034	248	3	of	of	ADP
aiti-14034	248	4	the	the	DET
aiti-14034	248	5	model	model	NOUN
aiti-14034	248	6	typically	typically	ADV
aiti-14034	248	7	involves	involve	VERB
aiti-14034	248	8	5	5	NUM
aiti-14034	248	9	-	-	ADJ
aiti-14034	248	10	fold	fold	ADJ
aiti-14034	248	11	cross	cross	NOUN
aiti-14034	248	12	-	-	NOUN
aiti-14034	248	13	validation	validation	NOUN
aiti-14034	248	14	,	,	PUNCT
aiti-14034	248	15	which	which	PRON
aiti-14034	248	16	enhances	enhance	VERB
aiti-14034	248	17	the	the	DET
aiti-14034	248	18	reliability	reliability	NOUN
aiti-14034	248	19	and	and	CCONJ
aiti-14034	248	20	generalization	generalization	NOUN
aiti-14034	248	21	ability	ability	NOUN
aiti-14034	248	22	of	of	ADP
aiti-14034	248	23	the	the	DET
aiti-14034	248	24	performance	performance	NOUN
aiti-14034	248	25	assessment	assessment	NOUN
aiti-14034	248	26	.	.	PUNCT
aiti-14034	249	1	this	this	DET
aiti-14034	249	2	technique	technique	NOUN
aiti-14034	249	3	trains	train	NOUN
aiti-14034	249	4	and	and	CCONJ
aiti-14034	249	5	evaluates	evaluate	VERB
aiti-14034	249	6	a	a	DET
aiti-14034	249	7	model	model	NOUN
aiti-14034	249	8	on	on	ADP
aiti-14034	249	9	five	five	NUM
aiti-14034	249	10	subsets	subset	NOUN
aiti-14034	249	11	of	of	ADP
aiti-14034	249	12	a	a	DET
aiti-14034	249	13	dataset	dataset	NOUN
aiti-14034	249	14	to	to	PART
aiti-14034	249	15	increase	increase	VERB
aiti-14034	249	16	its	its	PRON
aiti-14034	249	17	ability	ability	NOUN
aiti-14034	249	18	estimation	estimation	NOUN
aiti-14034	249	19	.	.	PUNCT
aiti-14034	250	1	it	it	PRON
aiti-14034	250	2	improves	improve	VERB
aiti-14034	250	3	interpretability	interpretability	NOUN
aiti-14034	250	4	,	,	PUNCT
aiti-14034	250	5	robustness	robustness	NOUN
aiti-14034	250	6	against	against	ADP
aiti-14034	250	7	noise	noise	NOUN
aiti-14034	250	8	,	,	PUNCT
aiti-14034	250	9	and	and	CCONJ
aiti-14034	250	10	generalization	generalization	NOUN
aiti-14034	250	11	performance	performance	NOUN
aiti-14034	250	12	,	,	PUNCT
aiti-14034	250	13	demonstrating	demonstrate	VERB
aiti-14034	250	14	superior	superior	ADJ
aiti-14034	250	15	accuracy	accuracy	NOUN
aiti-14034	250	16	compared	compare	VERB
aiti-14034	250	17	to	to	ADP
aiti-14034	250	18	traditional	traditional	ADJ
aiti-14034	250	19	techniques	technique	NOUN
aiti-14034	250	20	,	,	PUNCT
aiti-14034	250	21	and	and	CCONJ
aiti-14034	250	22	making	make	VERB
aiti-14034	250	23	it	it	PRON
aiti-14034	250	24	valuable	valuable	ADJ
aiti-14034	250	25	for	for	ADP
aiti-14034	250	26	real	real	ADJ
aiti-14034	250	27	-	-	PUNCT
aiti-14034	250	28	time	time	NOUN
aiti-14034	250	29	arrhythmia	arrhythmia	NOUN
aiti-14034	250	30	detection	detection	NOUN
aiti-14034	250	31	.	.	PUNCT
aiti-14034	251	1	table	table	NOUN
aiti-14034	251	2	1	1	NUM
aiti-14034	251	3	presents	present	VERB
aiti-14034	251	4	the	the	DET
aiti-14034	251	5	performance	performance	NOUN
aiti-14034	251	6	metrics	metric	NOUN
aiti-14034	251	7	for	for	ADP
aiti-14034	251	8	multi	multi	ADJ
aiti-14034	251	9	-	-	ADJ
aiti-14034	251	10	class	class	ADJ
aiti-14034	251	11	arrhythmia	arrhythmia	NOUN
aiti-14034	251	12	ecg	ecg	PROPN
aiti-14034	251	13	signal	signal	ADJ
aiti-14034	251	14	classification	classification	NOUN
aiti-14034	251	15	.	.	PUNCT
aiti-14034	252	1	the	the	DET
aiti-14034	252	2	models	model	NOUN
aiti-14034	252	3	achieved	achieve	VERB
aiti-14034	252	4	high	high	ADJ
aiti-14034	252	5	accuracy	accuracy	NOUN
aiti-14034	252	6	values	value	NOUN
aiti-14034	252	7	:	:	PUNCT
aiti-14034	252	8	vgg19	vgg19	VERB
aiti-14034	252	9	with	with	ADP
aiti-14034	252	10	an	an	DET
aiti-14034	252	11	accuracy	accuracy	NOUN
aiti-14034	252	12	of	of	ADP
aiti-14034	252	13	91.51	91.51	NUM
aiti-14034	252	14	%	%	NOUN
aiti-14034	252	15	,	,	PUNCT
aiti-14034	252	16	resnet50	resnet50	NOUN
aiti-14034	252	17	at	at	ADP
aiti-14034	252	18	94.98	94.98	NUM
aiti-14034	252	19	%	%	NOUN
aiti-14034	252	20	,	,	PUNCT
aiti-14034	252	21	vgg19+sam	vgg19+sam	NOUN
aiti-14034	252	22	at	at	ADP
aiti-14034	252	23	97.12	97.12	NUM
aiti-14034	252	24	%	%	NOUN
aiti-14034	252	25	,	,	PUNCT
aiti-14034	252	26	and	and	CCONJ
aiti-14034	252	27	resnet50+sam	resnet50+sam	PROPN
aiti-14034	252	28	with	with	ADP
aiti-14034	252	29	the	the	DET
aiti-14034	252	30	highest	high	ADJ
aiti-14034	252	31	accuracy	accuracy	NOUN
aiti-14034	252	32	of	of	ADP
aiti-14034	252	33	99.70	99.70	NUM
aiti-14034	252	34	%	%	NOUN
aiti-14034	252	35	.	.	PUNCT
aiti-14034	253	1	these	these	DET
aiti-14034	253	2	accuracy	accuracy	NOUN
aiti-14034	253	3	scores	score	NOUN
aiti-14034	253	4	prove	prove	VERB
aiti-14034	253	5	that	that	SCONJ
aiti-14034	253	6	the	the	DET
aiti-14034	253	7	models	model	NOUN
aiti-14034	253	8	are	be	AUX
aiti-14034	253	9	capable	capable	ADJ
aiti-14034	253	10	of	of	ADP
aiti-14034	253	11	accurately	accurately	ADV
aiti-14034	253	12	classifying	classify	VERB
aiti-14034	253	13	the	the	DET
aiti-14034	253	14	various	various	ADJ
aiti-14034	253	15	classes	class	NOUN
aiti-14034	253	16	of	of	ADP
aiti-14034	253	17	arrhythmia	arrhythmia	NOUN
aiti-14034	253	18	.	.	PUNCT
aiti-14034	254	1	high	high	ADJ
aiti-14034	254	2	precision	precision	NOUN
aiti-14034	254	3	was	be	AUX
aiti-14034	254	4	recorded	record	VERB
aiti-14034	254	5	for	for	ADP
aiti-14034	254	6	all	all	DET
aiti-14034	254	7	models	model	NOUN
aiti-14034	254	8	in	in	ADP
aiti-14034	254	9	this	this	DET
aiti-14034	254	10	work	work	NOUN
aiti-14034	254	11	,	,	PUNCT
aiti-14034	254	12	reflecting	reflect	VERB
aiti-14034	254	13	the	the	DET
aiti-14034	254	14	reliability	reliability	NOUN
aiti-14034	254	15	of	of	ADP
aiti-14034	254	16	the	the	DET
aiti-14034	254	17	identification	identification	NOUN
aiti-14034	254	18	of	of	ADP
aiti-14034	254	19	arrhythmia	arrhythmia	NOUN
aiti-14034	254	20	cases	case	NOUN
aiti-14034	254	21	among	among	ADP
aiti-14034	254	22	the	the	DET
aiti-14034	254	23	predicted	predict	VERB
aiti-14034	254	24	positives	positive	NOUN
aiti-14034	254	25	.	.	PUNCT
aiti-14034	255	1	vgg19	vgg19	PROPN
aiti-14034	255	2	achieved	achieve	VERB
aiti-14034	255	3	a	a	DET
aiti-14034	255	4	precision	precision	NOUN
aiti-14034	255	5	of	of	ADP
aiti-14034	255	6	91.68	91.68	NUM
aiti-14034	255	7	%	%	NOUN
aiti-14034	255	8	,	,	PUNCT
aiti-14034	255	9	and	and	CCONJ
aiti-14034	255	10	resnet50	resnet50	NOUN
aiti-14034	255	11	achieved	achieve	VERB
aiti-14034	255	12	95.04%.vgg19+sam	95.04%.vgg19+sam	NOUN
aiti-14034	255	13	achieved	achieve	VERB
aiti-14034	255	14	97.14	97.14	NUM
aiti-14034	255	15	%	%	NOUN
aiti-14034	255	16	,	,	PUNCT
aiti-14034	255	17	and	and	CCONJ
aiti-14034	255	18	resnet50+sam	resnet50+sam	PROPN
aiti-14034	255	19	maintained	maintain	VERB
aiti-14034	255	20	a	a	DET
aiti-14034	255	21	precision	precision	NOUN
aiti-14034	255	22	of	of	ADP
aiti-14034	255	23	99.70	99.70	NUM
aiti-14034	255	24	%	%	NOUN
aiti-14034	255	25	.	.	PUNCT
aiti-14034	256	1	these	these	DET
aiti-14034	256	2	precision	precision	NOUN
aiti-14034	256	3	values	value	NOUN
aiti-14034	256	4	indicate	indicate	VERB
aiti-14034	256	5	low	low	ADJ
aiti-14034	256	6	false	false	ADJ
aiti-14034	256	7	positive	positive	ADJ
aiti-14034	256	8	rates	rate	NOUN
aiti-14034	256	9	in	in	ADP
aiti-14034	256	10	model	model	NOUN
aiti-14034	256	11	predictions	prediction	NOUN
aiti-14034	256	12	.	.	PUNCT
aiti-14034	257	1	advances	advance	NOUN
aiti-14034	257	2	in	in	ADP
aiti-14034	257	3	technology	technology	NOUN
aiti-14034	257	4	innovation	innovation	NOUN
aiti-14034	257	5	,	,	PUNCT
aiti-14034	257	6	vol	vol	NOUN
aiti-14034	257	7	.	.	PROPN
aiti-14034	258	1	10	10	NUM
aiti-14034	258	2	,	,	PUNCT
aiti-14034	258	3	no	no	INTJ
aiti-14034	258	4	.	.	NOUN
aiti-14034	258	5	2	2	NUM
aiti-14034	258	6	,	,	PUNCT
aiti-14034	258	7	2025	2025	NUM
aiti-14034	258	8	,	,	PUNCT
aiti-14034	258	9	pp	pp	ADJ
aiti-14034	258	10	.	.	PUNCT
aiti-14034	259	1	102	102	NUM
aiti-14034	259	2	-	-	SYM
aiti-14034	259	3	117	117	NUM
aiti-14034	259	4	111	111	NUM
aiti-14034	259	5	the	the	DET
aiti-14034	259	6	f1	f1	NOUN
aiti-14034	259	7	-	-	PUNCT
aiti-14034	259	8	score	score	NOUN
aiti-14034	259	9	,	,	PUNCT
aiti-14034	259	10	which	which	PRON
aiti-14034	259	11	considers	consider	VERB
aiti-14034	259	12	both	both	DET
aiti-14034	259	13	precision	precision	NOUN
aiti-14034	259	14	and	and	CCONJ
aiti-14034	259	15	recall	recall	NOUN
aiti-14034	259	16	,	,	PUNCT
aiti-14034	259	17	demonstrated	demonstrate	VERB
aiti-14034	259	18	outstanding	outstanding	ADJ
aiti-14034	259	19	performance	performance	NOUN
aiti-14034	259	20	across	across	ADP
aiti-14034	259	21	all	all	DET
aiti-14034	259	22	models	model	NOUN
aiti-14034	259	23	:	:	PUNCT
aiti-14034	259	24	vgg19	vgg19	VERB
aiti-14034	259	25	at	at	ADP
aiti-14034	259	26	an	an	DET
aiti-14034	259	27	f1	f1	NOUN
aiti-14034	259	28	-	-	PUNCT
aiti-14034	259	29	score	score	NOUN
aiti-14034	259	30	of	of	ADP
aiti-14034	259	31	91.45	91.45	NUM
aiti-14034	259	32	%	%	NOUN
aiti-14034	259	33	,	,	PUNCT
aiti-14034	259	34	resnet50	resnet50	NOUN
aiti-14034	259	35	at	at	ADP
aiti-14034	259	36	94.97	94.97	NUM
aiti-14034	259	37	%	%	NOUN
aiti-14034	259	38	,	,	PUNCT
aiti-14034	259	39	vgg19+sam	vgg19+sam	NOUN
aiti-14034	259	40	at	at	ADP
aiti-14034	259	41	97.11	97.11	NUM
aiti-14034	259	42	%	%	NOUN
aiti-14034	259	43	,	,	PUNCT
aiti-14034	259	44	and	and	CCONJ
aiti-14034	259	45	resnet50+sam	resnet50+sam	PROPN
aiti-14034	259	46	was	be	AUX
aiti-14034	259	47	the	the	DET
aiti-14034	259	48	best	good	ADJ
aiti-14034	259	49	at	at	ADP
aiti-14034	259	50	99.70	99.70	NUM
aiti-14034	259	51	%	%	NOUN
aiti-14034	259	52	.	.	PUNCT
aiti-14034	260	1	these	these	DET
aiti-14034	260	2	scores	score	NOUN
aiti-14034	260	3	indicate	indicate	VERB
aiti-14034	260	4	the	the	DET
aiti-14034	260	5	ability	ability	NOUN
aiti-14034	260	6	models	model	NOUN
aiti-14034	260	7	can	can	AUX
aiti-14034	260	8	balance	balance	VERB
aiti-14034	260	9	precision	precision	NOUN
aiti-14034	260	10	and	and	CCONJ
aiti-14034	260	11	recall	recall	NOUN
aiti-14034	260	12	,	,	PUNCT
aiti-14034	260	13	yielding	yield	VERB
aiti-14034	260	14	an	an	DET
aiti-14034	260	15	accurate	accurate	ADJ
aiti-14034	260	16	classification	classification	NOUN
aiti-14034	260	17	of	of	ADP
aiti-14034	260	18	arrhythmia	arrhythmia	NOUN
aiti-14034	260	19	cases	case	NOUN
aiti-14034	260	20	.	.	PUNCT
aiti-14034	261	1	specificity	specificity	NOUN
aiti-14034	261	2	,	,	PUNCT
aiti-14034	261	3	which	which	PRON
aiti-14034	261	4	measures	measure	VERB
aiti-14034	261	5	a	a	DET
aiti-14034	261	6	model	model	NOUN
aiti-14034	261	7	's	's	PART
aiti-14034	261	8	ability	ability	NOUN
aiti-14034	261	9	to	to	PART
aiti-14034	261	10	correctly	correctly	ADV
aiti-14034	261	11	classify	classify	VERB
aiti-14034	261	12	subjects	subject	NOUN
aiti-14034	261	13	without	without	ADP
aiti-14034	261	14	arrhythmia	arrhythmia	NOUN
aiti-14034	261	15	,	,	PUNCT
aiti-14034	261	16	showed	show	VERB
aiti-14034	261	17	remarkable	remarkable	ADJ
aiti-14034	261	18	results	result	NOUN
aiti-14034	261	19	:	:	PUNCT
aiti-14034	261	20	the	the	DET
aiti-14034	261	21	specificity	specificity	NOUN
aiti-14034	261	22	was	be	AUX
aiti-14034	261	23	97.88	97.88	NUM
aiti-14034	261	24	%	%	NOUN
aiti-14034	261	25	for	for	ADP
aiti-14034	261	26	vgg19	vgg19	NOUN
aiti-14034	261	27	,	,	PUNCT
aiti-14034	261	28	98.74	98.74	NUM
aiti-14034	261	29	%	%	NOUN
aiti-14034	261	30	for	for	ADP
aiti-14034	261	31	resnet50	resnet50	NOUN
aiti-14034	261	32	,	,	PUNCT
aiti-14034	261	33	and	and	CCONJ
aiti-14034	261	34	99.28	99.28	NUM
aiti-14034	261	35	%	%	NOUN
aiti-14034	261	36	for	for	ADP
aiti-14034	261	37	vgg19+sam	vgg19+sam	NOUN
aiti-14034	261	38	,	,	PUNCT
aiti-14034	261	39	with	with	ADP
aiti-14034	261	40	the	the	DET
aiti-14034	261	41	highest	high	ADJ
aiti-14034	261	42	being	being	NOUN
aiti-14034	261	43	for	for	ADP
aiti-14034	261	44	resnet50+sam	resnet50+sam	PROPN
aiti-14034	261	45	at	at	ADP
aiti-14034	261	46	a	a	DET
aiti-14034	261	47	specificity	specificity	NOUN
aiti-14034	261	48	of	of	ADP
aiti-14034	261	49	99.93	99.93	NUM
aiti-14034	261	50	%	%	NOUN
aiti-14034	261	51	.	.	PUNCT
aiti-14034	262	1	these	these	DET
aiti-14034	262	2	specificity	specificity	NOUN
aiti-14034	262	3	values	value	NOUN
aiti-14034	262	4	highlight	highlight	VERB
aiti-14034	262	5	the	the	DET
aiti-14034	262	6	ability	ability	NOUN
aiti-14034	262	7	of	of	ADP
aiti-14034	262	8	models	model	NOUN
aiti-14034	262	9	to	to	PART
aiti-14034	262	10	recognize	recognize	VERB
aiti-14034	262	11	subjects	subject	NOUN
aiti-14034	262	12	without	without	ADP
aiti-14034	262	13	arrhythmia	arrhythmia	NOUN
aiti-14034	262	14	.	.	PUNCT
aiti-14034	263	1	confidence	confidence	NOUN
aiti-14034	263	2	intervals	interval	NOUN
aiti-14034	263	3	(	(	PUNCT
aiti-14034	263	4	cis	cis	NOUN
aiti-14034	263	5	)	)	PUNCT
aiti-14034	263	6	estimate	estimate	NOUN
aiti-14034	263	7	a	a	DET
aiti-14034	263	8	range	range	NOUN
aiti-14034	263	9	likely	likely	ADV
aiti-14034	263	10	containing	contain	VERB
aiti-14034	263	11	the	the	DET
aiti-14034	263	12	true	true	ADJ
aiti-14034	263	13	population	population	NOUN
aiti-14034	263	14	parameter	parameter	NOUN
aiti-14034	263	15	,	,	PUNCT
aiti-14034	263	16	often	often	ADV
aiti-14034	263	17	calculated	calculate	VERB
aiti-14034	263	18	at	at	ADP
aiti-14034	263	19	a	a	DET
aiti-14034	263	20	95	95	NUM
aiti-14034	263	21	%	%	NOUN
aiti-14034	263	22	confidence	confidence	NOUN
aiti-14034	263	23	level	level	NOUN
aiti-14034	263	24	.	.	PUNCT
aiti-14034	264	1	in	in	ADP
aiti-14034	264	2	this	this	DET
aiti-14034	264	3	study	study	NOUN
aiti-14034	264	4	,	,	PUNCT
aiti-14034	264	5	the	the	DET
aiti-14034	264	6	classification	classification	NOUN
aiti-14034	264	7	train	train	NOUN
aiti-14034	264	8	accuracy	accuracy	NOUN
aiti-14034	264	9	ranged	range	VERB
aiti-14034	264	10	from	from	ADP
aiti-14034	264	11	99.44%99.99	99.44%99.99	NOUN
aiti-14034	264	12	%	%	NOUN
aiti-14034	264	13	.	.	PUNCT
aiti-14034	265	1	p	p	X
aiti-14034	265	2	-	-	PUNCT
aiti-14034	265	3	values	value	NOUN
aiti-14034	265	4	quantify	quantify	VERB
aiti-14034	265	5	the	the	DET
aiti-14034	265	6	strength	strength	NOUN
aiti-14034	265	7	of	of	ADP
aiti-14034	265	8	evidence	evidence	NOUN
aiti-14034	265	9	against	against	ADP
aiti-14034	265	10	the	the	DET
aiti-14034	265	11	null	null	ADJ
aiti-14034	265	12	hypothesis	hypothesis	NOUN
aiti-14034	265	13	.	.	PUNCT
aiti-14034	266	1	in	in	ADP
aiti-14034	266	2	this	this	DET
aiti-14034	266	3	case	case	NOUN
aiti-14034	266	4	,	,	PUNCT
aiti-14034	266	5	anova	anova	PROPN
aiti-14034	266	6	was	be	AUX
aiti-14034	266	7	used	use	VERB
aiti-14034	266	8	for	for	ADP
aiti-14034	266	9	statistical	statistical	ADJ
aiti-14034	266	10	analysis	analysis	NOUN
aiti-14034	266	11	,	,	PUNCT
aiti-14034	266	12	yielding	yield	VERB
aiti-14034	266	13	a	a	DET
aiti-14034	266	14	statistically	statistically	ADV
aiti-14034	266	15	significant	significant	ADJ
aiti-14034	266	16	p	p	NOUN
aiti-14034	266	17	-	-	PUNCT
aiti-14034	266	18	value	value	NOUN
aiti-14034	266	19	of	of	ADP
aiti-14034	266	20	0.000006	0.000006	NUM
aiti-14034	266	21	,	,	PUNCT
aiti-14034	266	22	well	well	ADV
aiti-14034	266	23	below	below	ADP
aiti-14034	266	24	the	the	DET
aiti-14034	266	25	threshold	threshold	NOUN
aiti-14034	266	26	of	of	ADP
aiti-14034	266	27	less	less	ADJ
aiti-14034	266	28	than	than	ADP
aiti-14034	266	29	0.05	0.05	NUM
aiti-14034	266	30	.	.	PUNCT
aiti-14034	267	1	table	table	NOUN
aiti-14034	267	2	1	1	NUM
aiti-14034	267	3	evaluation	evaluation	NOUN
aiti-14034	267	4	metrics	metric	NOUN
aiti-14034	267	5	of	of	ADP
aiti-14034	267	6	multi	multi	ADJ
aiti-14034	267	7	-	-	ADJ
aiti-14034	267	8	class	class	ADJ
aiti-14034	267	9	classification	classification	NOUN
aiti-14034	267	10	vgg19	vgg19	NOUN
aiti-14034	267	11	metrics	metric	NOUN
aiti-14034	267	12	n	n	PRON
aiti-14034	267	13	s	s	NOUN
aiti-14034	267	14	v	v	NOUN
aiti-14034	267	15	f	f	X
aiti-14034	267	16	q	q	X
aiti-14034	267	17	average	average	ADJ
aiti-14034	267	18	cis	cis	NOUN
aiti-14034	267	19	p	p	NOUN
aiti-14034	267	20	-	-	PUNCT
aiti-14034	267	21	value	value	NOUN
aiti-14034	267	22	accuracy	accuracy	NOUN
aiti-14034	267	23	99.08	99.08	NUM
aiti-14034	267	24	%	%	NOUN
aiti-14034	267	25	90.29	90.29	NUM
aiti-14034	267	26	%	%	NOUN
aiti-14034	267	27	91.98	91.98	NUM
aiti-14034	267	28	%	%	NOUN
aiti-14034	267	29	82.61	82.61	NUM
aiti-14034	267	30	%	%	NOUN
aiti-14034	267	31	93.59	93.59	NUM
aiti-14034	267	32	%	%	NOUN
aiti-14034	267	33	91.51	91.51	NUM
aiti-14034	267	34	%	%	NOUN
aiti-14034	267	35	84.1%-98.92	84.1%-98.92	NUM
aiti-14034	267	36	%	%	NOUN
aiti-14034	267	37	0.0051	0.0051	NUM
aiti-14034	267	38	precision	precision	NOUN
aiti-14034	267	39	88.50	88.50	NUM
aiti-14034	267	40	%	%	NOUN
aiti-14034	267	41	87.87	87.87	NUM
aiti-14034	267	42	%	%	NOUN
aiti-14034	267	43	93.68	93.68	NUM
aiti-14034	267	44	%	%	NOUN
aiti-14034	267	45	94.11	94.11	NUM
aiti-14034	267	46	%	%	NOUN
aiti-14034	267	47	94.22	94.22	NUM
aiti-14034	267	48	%	%	NOUN
aiti-14034	267	49	91.68	91.68	NUM
aiti-14034	267	50	%	%	NOUN
aiti-14034	267	51	error	error	NOUN
aiti-14034	267	52	0.92	0.92	NUM
aiti-14034	267	53	%	%	NOUN
aiti-14034	267	54	9.71	9.71	NUM
aiti-14034	267	55	%	%	NOUN
aiti-14034	267	56	8.02	8.02	NUM
aiti-14034	267	57	%	%	NOUN
aiti-14034	267	58	17.39	17.39	NUM
aiti-14034	267	59	%	%	NOUN
aiti-14034	267	60	6.41	6.41	NUM
aiti-14034	267	61	%	%	NOUN
aiti-14034	267	62	8.49	8.49	NUM
aiti-14034	267	63	%	%	NOUN
aiti-14034	267	64	f1	f1	NOUN
aiti-14034	267	65	-	-	PUNCT
aiti-14034	267	66	score	score	NOUN
aiti-14034	267	67	93.49	93.49	NUM
aiti-14034	267	68	%	%	NOUN
aiti-14034	267	69	89.06	89.06	NUM
aiti-14034	267	70	%	%	NOUN
aiti-14034	267	71	92.82	92.82	NUM
aiti-14034	267	72	%	%	NOUN
aiti-14034	267	73	87.99	87.99	NUM
aiti-14034	267	74	%	%	NOUN
aiti-14034	267	75	93.91	93.91	NUM
aiti-14034	267	76	%	%	NOUN
aiti-14034	267	77	91.45	91.45	NUM
aiti-14034	267	78	%	%	NOUN
aiti-14034	267	79	specificity	specificity	NOUN
aiti-14034	267	80	96.78	96.78	NUM
aiti-14034	267	81	%	%	NOUN
aiti-14034	267	82	96.88	96.88	NUM
aiti-14034	267	83	%	%	NOUN
aiti-14034	267	84	98.45	98.45	NUM
aiti-14034	267	85	%	%	NOUN
aiti-14034	267	86	98.71	98.71	NUM
aiti-14034	267	87	%	%	NOUN
aiti-14034	267	88	98.56	98.56	NUM
aiti-14034	267	89	%	%	NOUN
aiti-14034	267	90	97.88	97.88	NUM
aiti-14034	267	91	%	%	NOUN
aiti-14034	267	92	resnet	resnet	VERB
aiti-14034	267	93	50	50	NUM
aiti-14034	267	94	accuracy	accuracy	NOUN
aiti-14034	267	95	99.23	99.23	NUM
aiti-14034	267	96	%	%	NOUN
aiti-14034	267	97	94.28	94.28	NUM
aiti-14034	267	98	%	%	NOUN
aiti-14034	267	99	94.75	94.75	NUM
aiti-14034	267	100	%	%	NOUN
aiti-14034	267	101	90.68	90.68	NUM
aiti-14034	267	102	%	%	NOUN
aiti-14034	267	103	95.96	95.96	NUM
aiti-14034	267	104	%	%	NOUN
aiti-14034	267	105	94.98	94.98	NUM
aiti-14034	267	106	%	%	NOUN
aiti-14034	267	107	94.19%-99.94	94.19%-99.94	NUM
aiti-14034	267	108	%	%	NOUN
aiti-14034	267	109	0.0043	0.0043	NUM
aiti-14034	267	110	precision	precision	NOUN
aiti-14034	267	111	93.59	93.59	NUM
aiti-14034	267	112	%	%	NOUN
aiti-14034	267	113	92.48	92.48	NUM
aiti-14034	267	114	%	%	NOUN
aiti-14034	267	115	95.63	95.63	NUM
aiti-14034	267	116	%	%	NOUN
aiti-14034	267	117	97.05	97.05	NUM
aiti-14034	267	118	%	%	NOUN
aiti-14034	267	119	96.43	96.43	NUM
aiti-14034	267	120	%	%	NOUN
aiti-14034	267	121	95.04	95.04	NUM
aiti-14034	267	122	%	%	NOUN
aiti-14034	267	123	error	error	NOUN
aiti-14034	267	124	0.77	0.77	NUM
aiti-14034	267	125	%	%	NOUN
aiti-14034	267	126	5.72	5.72	NUM
aiti-14034	267	127	%	%	NOUN
aiti-14034	267	128	5.25	5.25	NUM
aiti-14034	267	129	%	%	NOUN
aiti-14034	267	130	9.32	9.32	NUM
aiti-14034	267	131	%	%	NOUN
aiti-14034	267	132	4.04	4.04	NUM
aiti-14034	267	133	%	%	NOUN
aiti-14034	267	134	5.02	5.02	NUM
aiti-14034	267	135	%	%	NOUN
aiti-14034	267	136	f1	f1	NOUN
aiti-14034	267	137	-	-	PUNCT
aiti-14034	267	138	score	score	NOUN
aiti-14034	267	139	96.33	96.33	NUM
aiti-14034	267	140	%	%	NOUN
aiti-14034	267	141	93.37	93.37	NUM
aiti-14034	267	142	%	%	NOUN
aiti-14034	267	143	95.18	95.18	NUM
aiti-14034	267	144	%	%	NOUN
aiti-14034	267	145	93.76	93.76	NUM
aiti-14034	267	146	%	%	NOUN
aiti-14034	267	147	96.19	96.19	NUM
aiti-14034	267	148	%	%	NOUN
aiti-14034	267	149	94.97	94.97	NUM
aiti-14034	267	150	%	%	NOUN
aiti-14034	267	151	specificity	specificity	NOUN
aiti-14034	267	152	98.30	98.30	NUM
aiti-14034	267	153	%	%	NOUN
aiti-14034	267	154	98.08	98.08	NUM
aiti-14034	267	155	%	%	NOUN
aiti-14034	267	156	98.92	98.92	NUM
aiti-14034	267	157	%	%	NOUN
aiti-14034	267	158	99.31	99.31	NUM
aiti-14034	267	159	%	%	NOUN
aiti-14034	267	160	99.11	99.11	NUM
aiti-14034	267	161	%	%	NOUN
aiti-14034	267	162	98.74	98.74	NUM
aiti-14034	267	163	%	%	NOUN
aiti-14034	267	164	vgg19+sam	vgg19+sam	NOUN
aiti-14034	267	165	accuracy	accuracy	NOUN
aiti-14034	267	166	99.49	99.49	NUM
aiti-14034	267	167	%	%	NOUN
aiti-14034	267	168	97.05	97.05	NUM
aiti-14034	267	169	%	%	NOUN
aiti-14034	267	170	98.00	98.00	NUM
aiti-14034	267	171	%	%	NOUN
aiti-14034	267	172	93.17	93.17	NUM
aiti-14034	267	173	%	%	NOUN
aiti-14034	267	174	97.89	97.89	NUM
aiti-14034	267	175	97.12	97.12	NUM
aiti-14034	267	176	%	%	NOUN
aiti-14034	267	177	94.16%-99.99	94.16%-99.99	NOUN
aiti-14034	268	1	%	%	NOUN
aiti-14034	269	1	0.000021	0.000021	NUM
aiti-14034	269	2	precision	precision	NOUN
aiti-14034	269	3	96.62	96.62	NUM
aiti-14034	269	4	%	%	NOUN
aiti-14034	269	5	95.62	95.62	NUM
aiti-14034	269	6	%	%	NOUN
aiti-14034	269	7	98.02	98.02	NUM
aiti-14034	269	8	%	%	NOUN
aiti-14034	269	9	98.16	98.16	NUM
aiti-14034	269	10	%	%	NOUN
aiti-14034	269	11	97.27	97.27	NUM
aiti-14034	269	12	%	%	NOUN
aiti-14034	269	13	97.14	97.14	NUM
aiti-14034	269	14	%	%	NOUN
aiti-14034	269	15	error	error	NOUN
aiti-14034	269	16	0.51	0.51	NUM
aiti-14034	269	17	%	%	NOUN
aiti-14034	269	18	2.95	2.95	NUM
aiti-14034	269	19	%	%	NOUN
aiti-14034	269	20	2.00	2.00	NUM
aiti-14034	269	21	%	%	NOUN
aiti-14034	269	22	6.83	6.83	NUM
aiti-14034	269	23	%	%	NOUN
aiti-14034	269	24	2.11	2.11	NUM
aiti-14034	269	25	%	%	NOUN
aiti-14034	269	26	2.88	2.88	NUM
aiti-14034	269	27	%	%	NOUN
aiti-14034	269	28	f1	f1	NOUN
aiti-14034	269	29	-	-	PUNCT
aiti-14034	269	30	score	score	NOUN
aiti-14034	269	31	98.04	98.04	NUM
aiti-14034	269	32	%	%	NOUN
aiti-14034	269	33	96.33	96.33	NUM
aiti-14034	269	34	%	%	NOUN
aiti-14034	269	35	98.01	98.01	NUM
aiti-14034	269	36	%	%	NOUN
aiti-14034	269	37	95.60	95.60	NUM
aiti-14034	269	38	%	%	NOUN
aiti-14034	269	39	97.57	97.57	NUM
aiti-14034	269	40	%	%	NOUN
aiti-14034	269	41	97.11	97.11	NUM
aiti-14034	269	42	%	%	NOUN
aiti-14034	269	43	specificity	specificity	NOUN
aiti-14034	269	44	99.13	99.13	NUM
aiti-14034	269	45	%	%	NOUN
aiti-14034	269	46	98.89	98.89	NUM
aiti-14034	269	47	%	%	NOUN
aiti-14034	269	48	99.51	99.51	NUM
aiti-14034	269	49	%	%	NOUN
aiti-14034	269	50	99.56	99.56	NUM
aiti-14034	269	51	%	%	NOUN
aiti-14034	269	52	99.31	99.31	NUM
aiti-14034	269	53	%	%	NOUN
aiti-14034	269	54	99.28	99.28	NUM
aiti-14034	269	55	%	%	NOUN
aiti-14034	269	56	resnet	resnet	NOUN
aiti-14034	269	57	50+sam	50+sam	PROPN
aiti-14034	269	58	accuracy	accuracy	NOUN
aiti-14034	269	59	99.94	99.94	NUM
aiti-14034	269	60	%	%	NOUN
aiti-14034	269	61	99.65	99.65	NUM
aiti-14034	269	62	%	%	NOUN
aiti-14034	269	63	99.79	99.79	NUM
aiti-14034	269	64	%	%	NOUN
aiti-14034	269	65	99.38	99.38	NUM
aiti-14034	269	66	%	%	NOUN
aiti-14034	269	67	99.75	99.75	NUM
aiti-14034	269	68	%	%	NOUN
aiti-14034	269	69	99.702	99.702	NUM
aiti-14034	269	70	%	%	NOUN
aiti-14034	269	71	99.44%-99.99	99.44%-99.99	NOUN
aiti-14034	269	72	%	%	NOUN
aiti-14034	269	73	0.000006	0.000006	NUM
aiti-14034	269	74	precision	precision	NOUN
aiti-14034	269	75	99.76	99.76	NUM
aiti-14034	269	76	%	%	NOUN
aiti-14034	269	77	99.18	99.18	NUM
aiti-14034	269	78	%	%	NOUN
aiti-14034	269	79	99.97	99.97	NUM
aiti-14034	269	80	%	%	NOUN
aiti-14034	269	81	99.80	99.80	NUM
aiti-14034	269	82	%	%	NOUN
aiti-14034	269	83	99.81	99.81	NUM
aiti-14034	269	84	%	%	NOUN
aiti-14034	269	85	99.704	99.704	NUM
aiti-14034	269	86	%	%	NOUN
aiti-14034	269	87	error	error	NOUN
aiti-14034	269	88	0.06	0.06	NUM
aiti-14034	269	89	%	%	NOUN
aiti-14034	269	90	0.35	0.35	NUM
aiti-14034	269	91	%	%	NOUN
aiti-14034	269	92	0.21	0.21	NUM
aiti-14034	269	93	%	%	NOUN
aiti-14034	269	94	0.62	0.62	NUM
aiti-14034	269	95	%	%	NOUN
aiti-14034	269	96	0.25	0.25	NUM
aiti-14034	269	97	%	%	NOUN
aiti-14034	269	98	0.298	0.298	NUM
aiti-14034	269	99	%	%	NOUN
aiti-14034	269	100	f1	f1	NOUN
aiti-14034	269	101	-	-	PUNCT
aiti-14034	269	102	score	score	NOUN
aiti-14034	269	103	99.85	99.85	NUM
aiti-14034	269	104	%	%	NOUN
aiti-14034	269	105	99.42	99.42	NUM
aiti-14034	269	106	%	%	NOUN
aiti-14034	269	107	99.88	99.88	NUM
aiti-14034	269	108	%	%	NOUN
aiti-14034	269	109	99.59	99.59	NUM
aiti-14034	269	110	%	%	NOUN
aiti-14034	269	111	99.78	99.78	NUM
aiti-14034	269	112	%	%	NOUN
aiti-14034	269	113	99.704	99.704	NUM
aiti-14034	269	114	%	%	NOUN
aiti-14034	269	115	specificity	specificity	NOUN
aiti-14034	269	116	99.94	99.94	NUM
aiti-14034	269	117	%	%	NOUN
aiti-14034	269	118	99.79	99.79	NUM
aiti-14034	269	119	%	%	NOUN
aiti-14034	269	120	99.99	99.99	NUM
aiti-14034	269	121	%	%	NOUN
aiti-14034	269	122	99.95	99.95	NUM
aiti-14034	269	123	%	%	NOUN
aiti-14034	269	124	99.95	99.95	NUM
aiti-14034	269	125	%	%	NOUN
aiti-14034	269	126	99.93	99.93	NUM
aiti-14034	269	127	%	%	NOUN
aiti-14034	269	128	the	the	DET
aiti-14034	269	129	resnet50+sam	resnet50+sam	PROPN
aiti-14034	269	130	model	model	NOUN
aiti-14034	269	131	exhibits	exhibit	VERB
aiti-14034	269	132	outstanding	outstanding	ADJ
aiti-14034	269	133	performance	performance	NOUN
aiti-14034	269	134	in	in	ADP
aiti-14034	269	135	binary	binary	ADJ
aiti-14034	269	136	classification	classification	NOUN
aiti-14034	269	137	between	between	ADP
aiti-14034	269	138	myocardial	myocardial	ADJ
aiti-14034	269	139	and	and	CCONJ
aiti-14034	269	140	normal	normal	ADJ
aiti-14034	269	141	cases	case	NOUN
aiti-14034	269	142	,	,	PUNCT
aiti-14034	269	143	as	as	SCONJ
aiti-14034	269	144	shown	show	VERB
aiti-14034	269	145	in	in	ADP
aiti-14034	269	146	table	table	NOUN
aiti-14034	269	147	2	2	NUM
aiti-14034	269	148	.	.	PUNCT
aiti-14034	270	1	it	it	PRON
aiti-14034	270	2	achieves	achieve	VERB
aiti-14034	270	3	high	high	ADJ
aiti-14034	270	4	scores	score	NOUN
aiti-14034	270	5	across	across	ADP
aiti-14034	270	6	metrics	metric	NOUN
aiti-14034	270	7	such	such	ADJ
aiti-14034	270	8	as	as	ADP
aiti-14034	270	9	accuracy	accuracy	NOUN
aiti-14034	270	10	,	,	PUNCT
aiti-14034	270	11	precision	precision	NOUN
aiti-14034	270	12	,	,	PUNCT
aiti-14034	270	13	recall	recall	NOUN
aiti-14034	270	14	,	,	PUNCT
aiti-14034	270	15	f1	f1	NOUN
aiti-14034	270	16	-	-	PUNCT
aiti-14034	270	17	score	score	NOUN
aiti-14034	270	18	,	,	PUNCT
aiti-14034	270	19	and	and	CCONJ
aiti-14034	270	20	specificity	specificity	NOUN
aiti-14034	270	21	,	,	PUNCT
aiti-14034	270	22	ranging	range	VERB
aiti-14034	270	23	from	from	ADP
aiti-14034	270	24	99.82	99.82	NUM
aiti-14034	270	25	%	%	NOUN
aiti-14034	270	26	to	to	ADP
aiti-14034	270	27	99.88	99.88	NUM
aiti-14034	270	28	%	%	NOUN
aiti-14034	270	29	.	.	PUNCT
aiti-14034	271	1	these	these	DET
aiti-14034	271	2	results	result	NOUN
aiti-14034	271	3	indicate	indicate	VERB
aiti-14034	271	4	that	that	SCONJ
aiti-14034	271	5	this	this	DET
aiti-14034	271	6	model	model	NOUN
aiti-14034	271	7	efficiently	efficiently	ADV
aiti-14034	271	8	classifies	classify	VERB
aiti-14034	271	9	cases	case	NOUN
aiti-14034	271	10	correctly	correctly	ADV
aiti-14034	271	11	,	,	PUNCT
aiti-14034	271	12	reliably	reliably	ADV
aiti-14034	271	13	detects	detect	VERB
aiti-14034	271	14	true	true	ADJ
aiti-14034	271	15	positives	positive	NOUN
aiti-14034	271	16	,	,	PUNCT
aiti-14034	271	17	and	and	CCONJ
aiti-14034	271	18	is	be	AUX
aiti-14034	271	19	extremely	extremely	ADV
aiti-14034	271	20	low	low	ADJ
aiti-14034	271	21	in	in	ADP
aiti-14034	271	22	false	false	ADJ
aiti-14034	271	23	positives	positive	NOUN
aiti-14034	271	24	.	.	PUNCT
aiti-14034	272	1	overall	overall	ADV
aiti-14034	272	2	,	,	PUNCT
aiti-14034	272	3	resnet50+sam	resnet50+sam	PROPN
aiti-14034	272	4	worked	work	VERB
aiti-14034	272	5	well	well	ADV
aiti-14034	272	6	in	in	ADP
aiti-14034	272	7	distinguishing	distinguish	VERB
aiti-14034	272	8	myocardial	myocardial	ADJ
aiti-14034	272	9	cases	case	NOUN
aiti-14034	272	10	from	from	ADP
aiti-14034	272	11	normal	normal	ADJ
aiti-14034	272	12	ones	one	NOUN
aiti-14034	272	13	with	with	ADP
aiti-14034	272	14	exceptional	exceptional	ADJ
aiti-14034	272	15	accuracy	accuracy	NOUN
aiti-14034	272	16	and	and	CCONJ
aiti-14034	272	17	reliability	reliability	NOUN
aiti-14034	272	18	.	.	PUNCT
aiti-14034	273	1	advances	advance	NOUN
aiti-14034	273	2	in	in	ADP
aiti-14034	273	3	technology	technology	NOUN
aiti-14034	273	4	innovation	innovation	NOUN
aiti-14034	273	5	,	,	PUNCT
aiti-14034	273	6	vol	vol	NOUN
aiti-14034	273	7	.	.	PROPN
aiti-14034	274	1	10	10	NUM
aiti-14034	274	2	,	,	PUNCT
aiti-14034	274	3	no	no	INTJ
aiti-14034	274	4	.	.	NOUN
aiti-14034	274	5	2	2	NUM
aiti-14034	274	6	,	,	PUNCT
aiti-14034	274	7	2025	2025	NUM
aiti-14034	274	8	,	,	PUNCT
aiti-14034	274	9	pp	pp	ADJ
aiti-14034	274	10	.	.	PUNCT
aiti-14034	275	1	102	102	NUM
aiti-14034	275	2	-	-	SYM
aiti-14034	275	3	117	117	NUM
aiti-14034	275	4	112	112	NUM
aiti-14034	275	5	table	table	NOUN
aiti-14034	275	6	2	2	NUM
aiti-14034	275	7	evaluation	evaluation	NOUN
aiti-14034	275	8	metrics	metric	NOUN
aiti-14034	275	9	for	for	ADP
aiti-14034	275	10	binary	binary	ADJ
aiti-14034	275	11	classification	classification	PROPN
aiti-14034	275	12	cnn	cnn	PROPN
aiti-14034	275	13	accuracy	accuracy	NOUN
aiti-14034	275	14	precision	precision	NOUN
aiti-14034	275	15	recall	recall	VERB
aiti-14034	275	16	f1	f1	NOUN
aiti-14034	275	17	-	-	PUNCT
aiti-14034	275	18	score	score	NOUN
aiti-14034	275	19	specificity	specificity	NOUN
aiti-14034	275	20	vgg19	vgg19	VERB
aiti-14034	275	21	92.33	92.33	NUM
aiti-14034	275	22	%	%	NOUN
aiti-14034	275	23	92.08	92.08	NUM
aiti-14034	275	24	%	%	NOUN
aiti-14034	275	25	92.53	92.53	NUM
aiti-14034	275	26	%	%	NOUN
aiti-14034	275	27	92.31	92.31	NUM
aiti-14034	275	28	%	%	NOUN
aiti-14034	275	29	92.13	92.13	NUM
aiti-14034	275	30	%	%	NOUN
aiti-14034	275	31	resnet50	resnet50	NOUN
aiti-14034	275	32	93.81	93.81	NUM
aiti-14034	275	33	%	%	NOUN
aiti-14034	275	34	93.87	93.87	NUM
aiti-14034	275	35	%	%	NOUN
aiti-14034	275	36	93.76	93.76	NUM
aiti-14034	275	37	%	%	NOUN
aiti-14034	275	38	93.82	93.82	NUM
aiti-14034	275	39	%	%	NOUN
aiti-14034	275	40	93.87	93.87	NUM
aiti-14034	275	41	%	%	NOUN
aiti-14034	275	42	vgg19+sam	vgg19+sam	NOUN
aiti-14034	275	43	97.62	97.62	NUM
aiti-14034	275	44	%	%	NOUN
aiti-14034	275	45	97.56	97.56	NUM
aiti-14034	275	46	%	%	NOUN
aiti-14034	275	47	97.68	97.68	NUM
aiti-14034	275	48	%	%	NOUN
aiti-14034	275	49	97.62	97.62	NUM
aiti-14034	275	50	%	%	NOUN
aiti-14034	275	51	97.56	97.56	NUM
aiti-14034	275	52	%	%	NOUN
aiti-14034	275	53	resnet50+sam	resnet50+sam	PROPN
aiti-14034	275	54	99.85	99.85	NUM
aiti-14034	275	55	%	%	NOUN
aiti-14034	275	56	99.88	99.88	NUM
aiti-14034	275	57	%	%	NOUN
aiti-14034	275	58	99.82	99.82	NUM
aiti-14034	275	59	%	%	NOUN
aiti-14034	275	60	99.85	99.85	NUM
aiti-14034	275	61	%	%	NOUN
aiti-14034	275	62	99.88	99.88	NUM
aiti-14034	275	63	%	%	NOUN
aiti-14034	275	64	fig	fig	NOUN
aiti-14034	275	65	.	.	PUNCT
aiti-14034	276	1	7	7	NUM
aiti-14034	276	2	displays	display	NOUN
aiti-14034	276	3	deep	deep	ADJ
aiti-14034	276	4	dream	dream	NOUN
aiti-14034	276	5	images	image	NOUN
aiti-14034	276	6	for	for	ADP
aiti-14034	276	7	features	feature	NOUN
aiti-14034	276	8	in	in	ADP
aiti-14034	276	9	the	the	DET
aiti-14034	276	10	`	`	PUNCT
aiti-14034	276	11	selective_attention	selective_attention	NOUN
aiti-14034	276	12	`	`	PUNCT
aiti-14034	276	13	layer	layer	NOUN
aiti-14034	276	14	in	in	ADP
aiti-14034	276	15	a	a	DET
aiti-14034	276	16	neural	neural	ADJ
aiti-14034	276	17	network	network	NOUN
aiti-14034	276	18	trained	train	VERB
aiti-14034	276	19	for	for	ADP
aiti-14034	276	20	multiclass	multiclass	ADJ
aiti-14034	276	21	arrhythmias	arrhythmia	NOUN
aiti-14034	276	22	from	from	ADP
aiti-14034	276	23	ecg	ecg	PROPN
aiti-14034	276	24	signals	signal	NOUN
aiti-14034	276	25	.	.	PUNCT
aiti-14034	277	1	it	it	PRON
aiti-14034	277	2	consists	consist	VERB
aiti-14034	277	3	of	of	ADP
aiti-14034	277	4	a	a	DET
aiti-14034	277	5	4x4	4x4	NUM
aiti-14034	277	6	grid	grid	NOUN
aiti-14034	277	7	of	of	ADP
aiti-14034	277	8	subplots	subplot	NOUN
aiti-14034	277	9	,	,	PUNCT
aiti-14034	277	10	each	each	PRON
aiti-14034	277	11	illustrating	illustrate	VERB
aiti-14034	277	12	a	a	DET
aiti-14034	277	13	deep	deep	ADJ
aiti-14034	277	14	dream	dream	NOUN
aiti-14034	277	15	image	image	NOUN
aiti-14034	277	16	that	that	PRON
aiti-14034	277	17	maximizes	maximize	VERB
aiti-14034	277	18	the	the	DET
aiti-14034	277	19	activation	activation	NOUN
aiti-14034	277	20	of	of	ADP
aiti-14034	277	21	a	a	DET
aiti-14034	277	22	specific	specific	ADJ
aiti-14034	277	23	feature	feature	NOUN
aiti-14034	277	24	.	.	PUNCT
aiti-14034	278	1	these	these	DET
aiti-14034	278	2	images	image	NOUN
aiti-14034	278	3	highlight	highlight	VERB
aiti-14034	278	4	the	the	DET
aiti-14034	278	5	patterns	pattern	NOUN
aiti-14034	278	6	learn	learn	VERB
aiti-14034	278	7	by	by	ADP
aiti-14034	278	8	the	the	DET
aiti-14034	278	9	network	network	NOUN
aiti-14034	278	10	's	's	PART
aiti-14034	278	11	features	feature	NOUN
aiti-14034	278	12	for	for	ADP
aiti-14034	278	13	arrhythmia	arrhythmia	NOUN
aiti-14034	278	14	classification	classification	NOUN
aiti-14034	278	15	.	.	PUNCT
aiti-14034	279	1	each	each	DET
aiti-14034	279	2	subplot	subplot	NOUN
aiti-14034	279	3	is	be	AUX
aiti-14034	279	4	titled	title	VERB
aiti-14034	279	5	with	with	ADP
aiti-14034	279	6	its	its	PRON
aiti-14034	279	7	corresponding	correspond	VERB
aiti-14034	279	8	feature	feature	NOUN
aiti-14034	279	9	number	number	NOUN
aiti-14034	279	10	.	.	PUNCT
aiti-14034	280	1	this	this	DET
aiti-14034	280	2	visualization	visualization	NOUN
aiti-14034	280	3	helps	help	VERB
aiti-14034	280	4	interpret	interpret	VERB
aiti-14034	280	5	the	the	DET
aiti-14034	280	6	network	network	NOUN
aiti-14034	280	7	's	's	PART
aiti-14034	280	8	representations	representation	NOUN
aiti-14034	280	9	and	and	CCONJ
aiti-14034	280	10	its	its	PRON
aiti-14034	280	11	ability	ability	NOUN
aiti-14034	280	12	to	to	PART
aiti-14034	280	13	distinguish	distinguish	VERB
aiti-14034	280	14	arrhythmia	arrhythmia	NOUN
aiti-14034	280	15	types	type	NOUN
aiti-14034	280	16	from	from	ADP
aiti-14034	280	17	ecg	ecg	PROPN
aiti-14034	280	18	data	data	PROPN
aiti-14034	280	19	.	.	PUNCT
aiti-14034	281	1	fig	fig	NOUN
aiti-14034	281	2	.	.	PUNCT
aiti-14034	282	1	7	7	NUM
aiti-14034	282	2	deep	deep	ADJ
aiti-14034	282	3	dream	dream	NOUN
aiti-14034	282	4	with	with	ADP
aiti-14034	282	5	sam	sam	PROPN
aiti-14034	282	6	feature	feature	NOUN
aiti-14034	282	7	extraction	extraction	NOUN
aiti-14034	282	8	,	,	PUNCT
aiti-14034	282	9	as	as	SCONJ
aiti-14034	282	10	shown	show	VERB
aiti-14034	282	11	in	in	ADP
aiti-14034	282	12	fig	fig	NOUN
aiti-14034	282	13	.	.	PUNCT
aiti-14034	282	14	8	8	NUM
aiti-14034	282	15	,	,	PUNCT
aiti-14034	282	16	visualizes	visualize	VERB
aiti-14034	282	17	the	the	DET
aiti-14034	282	18	learned	learn	VERB
aiti-14034	282	19	features	feature	NOUN
aiti-14034	282	20	of	of	ADP
aiti-14034	282	21	a	a	DET
aiti-14034	282	22	neural	neural	ADJ
aiti-14034	282	23	network	network	NOUN
aiti-14034	282	24	trained	train	VERB
aiti-14034	282	25	for	for	ADP
aiti-14034	282	26	multiclass	multiclass	ADJ
aiti-14034	282	27	classification	classification	NOUN
aiti-14034	282	28	of	of	ADP
aiti-14034	282	29	arrhythmias	arrhythmia	NOUN
aiti-14034	282	30	from	from	ADP
aiti-14034	282	31	ecg	ecg	PROPN
aiti-14034	282	32	signals	signal	NOUN
aiti-14034	282	33	.	.	PUNCT
aiti-14034	283	1	each	each	DET
aiti-14034	283	2	subplot	subplot	NOUN
aiti-14034	283	3	in	in	ADP
aiti-14034	283	4	this	this	DET
aiti-14034	283	5	figure	figure	NOUN
aiti-14034	283	6	represents	represent	VERB
aiti-14034	283	7	feature	feature	NOUN
aiti-14034	283	8	activations	activation	NOUN
aiti-14034	283	9	for	for	ADP
aiti-14034	283	10	the	the	DET
aiti-14034	283	11	test	test	NOUN
aiti-14034	283	12	image	image	NOUN
aiti-14034	283	13	,	,	PUNCT
aiti-14034	283	14	described	describe	VERB
aiti-14034	283	15	as	as	ADP
aiti-14034	283	16	bar	bar	NOUN
aiti-14034	283	17	plots	plot	NOUN
aiti-14034	283	18	where	where	SCONJ
aiti-14034	283	19	the	the	DET
aiti-14034	283	20	x	x	ADJ
aiti-14034	283	21	-	-	ADJ
aiti-14034	283	22	axis	axis	ADJ
aiti-14034	283	23	denotes	denote	NOUN
aiti-14034	283	24	feature	feature	NOUN
aiti-14034	283	25	indices	index	NOUN
aiti-14034	283	26	and	and	CCONJ
aiti-14034	283	27	the	the	DET
aiti-14034	283	28	y	y	ADJ
aiti-14034	283	29	-	-	PUNCT
aiti-14034	283	30	axis	axis	NOUN
aiti-14034	283	31	shows	show	NOUN
aiti-14034	283	32	activation	activation	NOUN
aiti-14034	283	33	values	value	NOUN
aiti-14034	283	34	.	.	PUNCT
aiti-14034	284	1	higher	high	ADJ
aiti-14034	284	2	bars	bar	NOUN
aiti-14034	284	3	indicate	indicate	VERB
aiti-14034	284	4	those	those	DET
aiti-14034	284	5	features	feature	NOUN
aiti-14034	284	6	that	that	PRON
aiti-14034	284	7	are	be	AUX
aiti-14034	284	8	most	most	ADV
aiti-14034	284	9	important	important	ADJ
aiti-14034	284	10	/	/	SYM
aiti-14034	284	11	relevant	relevant	ADJ
aiti-14034	284	12	for	for	ADP
aiti-14034	284	13	classifying	classify	VERB
aiti-14034	284	14	a	a	DET
aiti-14034	284	15	particular	particular	ADJ
aiti-14034	284	16	image	image	NOUN
aiti-14034	284	17	.	.	PUNCT
aiti-14034	285	1	fig	fig	NOUN
aiti-14034	285	2	.	.	PUNCT
aiti-14034	286	1	8	8	NUM
aiti-14034	286	2	features	feature	VERB
aiti-14034	286	3	visualization	visualization	NOUN
aiti-14034	286	4	of	of	ADP
aiti-14034	286	5	the	the	DET
aiti-14034	286	6	last	last	ADJ
aiti-14034	286	7	layer	layer	NOUN
aiti-14034	286	8	advances	advance	NOUN
aiti-14034	286	9	in	in	ADP
aiti-14034	286	10	technology	technology	NOUN
aiti-14034	286	11	innovation	innovation	NOUN
aiti-14034	286	12	,	,	PUNCT
aiti-14034	286	13	vol	vol	NOUN
aiti-14034	286	14	.	.	PROPN
aiti-14034	286	15	10	10	NUM
aiti-14034	286	16	,	,	PUNCT
aiti-14034	286	17	no	no	INTJ
aiti-14034	286	18	.	.	NOUN
aiti-14034	286	19	2	2	NUM
aiti-14034	286	20	,	,	PUNCT
aiti-14034	286	21	2025	2025	NUM
aiti-14034	286	22	,	,	PUNCT
aiti-14034	286	23	pp	pp	ADJ
aiti-14034	286	24	.	.	PUNCT
aiti-14034	287	1	102	102	NUM
aiti-14034	287	2	-	-	SYM
aiti-14034	287	3	117	117	NUM
aiti-14034	287	4	113	113	NUM
aiti-14034	287	5	the	the	DET
aiti-14034	287	6	titles	title	NOUN
aiti-14034	287	7	of	of	ADP
aiti-14034	287	8	the	the	DET
aiti-14034	287	9	subplots	subplot	NOUN
aiti-14034	287	10	display	display	VERB
aiti-14034	287	11	the	the	DET
aiti-14034	287	12	real	real	ADJ
aiti-14034	287	13	class	class	NOUN
aiti-14034	287	14	of	of	ADP
aiti-14034	287	15	arrhythmia	arrhythmia	NOUN
aiti-14034	287	16	for	for	ADP
aiti-14034	287	17	every	every	DET
aiti-14034	287	18	signal	signal	NOUN
aiti-14034	287	19	;	;	PUNCT
aiti-14034	287	20	therefore	therefore	ADV
aiti-14034	287	21	,	,	PUNCT
aiti-14034	287	22	enabling	enable	VERB
aiti-14034	287	23	a	a	DET
aiti-14034	287	24	visual	visual	ADJ
aiti-14034	287	25	comparison	comparison	NOUN
aiti-14034	287	26	across	across	ADP
aiti-14034	287	27	classes	class	NOUN
aiti-14034	287	28	.	.	PUNCT
aiti-14034	288	1	this	this	DET
aiti-14034	288	2	visualization	visualization	NOUN
aiti-14034	288	3	helps	help	VERB
aiti-14034	288	4	with	with	ADP
aiti-14034	288	5	relevant	relevant	ADJ
aiti-14034	288	6	features	feature	NOUN
aiti-14034	288	7	for	for	ADP
aiti-14034	288	8	separating	separate	VERB
aiti-14034	288	9	the	the	DET
aiti-14034	288	10	arrhythmia	arrhythmia	NOUN
aiti-14034	288	11	classes	class	NOUN
aiti-14034	288	12	and	and	CCONJ
aiti-14034	288	13	provides	provide	VERB
aiti-14034	288	14	hints	hint	NOUN
aiti-14034	288	15	into	into	ADP
aiti-14034	288	16	model	model	NOUN
aiti-14034	288	17	decision	decision	NOUN
aiti-14034	288	18	-	-	PUNCT
aiti-14034	288	19	making	making	NOUN
aiti-14034	288	20	,	,	PUNCT
aiti-14034	288	21	which	which	PRON
aiti-14034	288	22	may	may	AUX
aiti-14034	288	23	guide	guide	VERB
aiti-14034	288	24	improvements	improvement	NOUN
aiti-14034	288	25	in	in	ADP
aiti-14034	288	26	diagnostic	diagnostic	ADJ
aiti-14034	288	27	tools	tool	NOUN
aiti-14034	288	28	and	and	CCONJ
aiti-14034	288	29	treatment	treatment	NOUN
aiti-14034	288	30	strategies	strategy	NOUN
aiti-14034	288	31	.	.	PUNCT
aiti-14034	289	1	(	(	PUNCT
aiti-14034	289	2	a	a	X
aiti-14034	289	3	)	)	PUNCT
aiti-14034	289	4	vgg19	vgg19	PROPN
aiti-14034	289	5	(	(	PUNCT
aiti-14034	289	6	b	b	NOUN
aiti-14034	289	7	)	)	PUNCT
aiti-14034	289	8	resnet50	resnet50	NOUN
aiti-14034	289	9	(	(	PUNCT
aiti-14034	289	10	c	c	NOUN
aiti-14034	289	11	)	)	PUNCT
aiti-14034	289	12	vgg19+sam	vgg19+sam	NOUN
aiti-14034	289	13	(	(	PUNCT
aiti-14034	289	14	d	d	X
aiti-14034	289	15	)	)	PUNCT
aiti-14034	289	16	resnet50+sam	resnet50+sam	PROPN
aiti-14034	289	17	fig	fig	NOUN
aiti-14034	289	18	.	.	PUNCT
aiti-14034	290	1	9	9	NUM
aiti-14034	290	2	confusion	confusion	NOUN
aiti-14034	290	3	matrices	matrix	NOUN
aiti-14034	290	4	(	(	PUNCT
aiti-14034	290	5	multi	multi	ADJ
aiti-14034	290	6	-	-	NOUN
aiti-14034	290	7	class	class	NOUN
aiti-14034	290	8	)	)	PUNCT
aiti-14034	290	9	(	(	PUNCT
aiti-14034	290	10	a	a	X
aiti-14034	290	11	)	)	PUNCT
aiti-14034	290	12	vgg19	vgg19	PROPN
aiti-14034	290	13	(	(	PUNCT
aiti-14034	290	14	b	b	NOUN
aiti-14034	290	15	)	)	PUNCT
aiti-14034	290	16	resnet50	resnet50	NOUN
aiti-14034	290	17	(	(	PUNCT
aiti-14034	290	18	c	c	NOUN
aiti-14034	290	19	)	)	PUNCT
aiti-14034	290	20	vgg19+sam	vgg19+sam	NOUN
aiti-14034	290	21	(	(	PUNCT
aiti-14034	290	22	d	d	X
aiti-14034	290	23	)	)	PUNCT
aiti-14034	290	24	resnet50+sam	resnet50+sam	PROPN
aiti-14034	290	25	fig	fig	NOUN
aiti-14034	290	26	.	.	PUNCT
aiti-14034	291	1	10	10	NUM
aiti-14034	291	2	confusion	confusion	NOUN
aiti-14034	291	3	matrices	matrix	NOUN
aiti-14034	291	4	(	(	PUNCT
aiti-14034	291	5	binary	binary	NOUN
aiti-14034	291	6	)	)	PUNCT
aiti-14034	291	7	advances	advance	NOUN
aiti-14034	291	8	in	in	ADP
aiti-14034	291	9	technology	technology	NOUN
aiti-14034	291	10	innovation	innovation	NOUN
aiti-14034	291	11	,	,	PUNCT
aiti-14034	291	12	vol	vol	NOUN
aiti-14034	291	13	.	.	PROPN
aiti-14034	291	14	10	10	NUM
aiti-14034	291	15	,	,	PUNCT
aiti-14034	291	16	no	no	INTJ
aiti-14034	291	17	.	.	NOUN
aiti-14034	291	18	2	2	NUM
aiti-14034	291	19	,	,	PUNCT
aiti-14034	291	20	2025	2025	NUM
aiti-14034	291	21	,	,	PUNCT
aiti-14034	291	22	pp	pp	ADJ
aiti-14034	291	23	.	.	PUNCT
aiti-14034	292	1	102	102	NUM
aiti-14034	292	2	-	-	SYM
aiti-14034	292	3	117	117	NUM
aiti-14034	292	4	114	114	NUM
aiti-14034	292	5	confusion	confusion	NOUN
aiti-14034	292	6	matrices	matrix	NOUN
aiti-14034	292	7	corresponding	correspond	VERB
aiti-14034	292	8	to	to	ADP
aiti-14034	292	9	the	the	DET
aiti-14034	292	10	proposed	propose	VERB
aiti-14034	292	11	models	model	NOUN
aiti-14034	292	12	for	for	ADP
aiti-14034	292	13	multiclass	multiclass	ADJ
aiti-14034	292	14	and	and	CCONJ
aiti-14034	292	15	binary	binary	ADJ
aiti-14034	292	16	classification	classification	NOUN
aiti-14034	292	17	are	be	AUX
aiti-14034	292	18	illustrated	illustrate	VERB
aiti-14034	292	19	in	in	ADP
aiti-14034	292	20	fig	fig	NOUN
aiti-14034	292	21	.	.	PUNCT
aiti-14034	293	1	9	9	NUM
aiti-14034	293	2	and	and	CCONJ
aiti-14034	293	3	10	10	NUM
aiti-14034	293	4	.	.	PUNCT
aiti-14034	294	1	the	the	DET
aiti-14034	294	2	confusion	confusion	NOUN
aiti-14034	294	3	matrices	matrix	NOUN
aiti-14034	294	4	comprehensively	comprehensively	ADV
aiti-14034	294	5	summarize	summarize	VERB
aiti-14034	294	6	the	the	DET
aiti-14034	294	7	normalized	normalize	VERB
aiti-14034	294	8	process	process	NOUN
aiti-14034	294	9	and	and	CCONJ
aiti-14034	294	10	provide	provide	VERB
aiti-14034	294	11	a	a	DET
aiti-14034	294	12	clear	clear	ADJ
aiti-14034	294	13	indication	indication	NOUN
aiti-14034	294	14	of	of	ADP
aiti-14034	294	15	how	how	SCONJ
aiti-14034	294	16	well	well	ADV
aiti-14034	294	17	each	each	DET
aiti-14034	294	18	model	model	NOUN
aiti-14034	294	19	fits	fit	VERB
aiti-14034	294	20	the	the	DET
aiti-14034	294	21	data	datum	NOUN
aiti-14034	294	22	.	.	PUNCT
aiti-14034	295	1	the	the	DET
aiti-14034	295	2	precision	precision	NOUN
aiti-14034	295	3	-	-	PUNCT
aiti-14034	295	4	recall	recall	NOUN
aiti-14034	295	5	and	and	CCONJ
aiti-14034	295	6	roc	roc	PROPN
aiti-14034	295	7	curves	curve	NOUN
aiti-14034	295	8	are	be	AUX
aiti-14034	295	9	plots	plot	NOUN
aiti-14034	295	10	used	use	VERB
aiti-14034	295	11	to	to	PART
aiti-14034	295	12	evaluate	evaluate	VERB
aiti-14034	295	13	the	the	DET
aiti-14034	295	14	performance	performance	NOUN
aiti-14034	295	15	of	of	ADP
aiti-14034	295	16	models	model	NOUN
aiti-14034	295	17	in	in	ADP
aiti-14034	295	18	classifying	classify	VERB
aiti-14034	295	19	the	the	DET
aiti-14034	295	20	arrhythmias	arrhythmia	NOUN
aiti-14034	295	21	.	.	PUNCT
aiti-14034	296	1	the	the	DET
aiti-14034	296	2	precision	precision	NOUN
aiti-14034	296	3	-	-	PUNCT
aiti-14034	296	4	recall	recall	NOUN
aiti-14034	296	5	curve	curve	NOUN
aiti-14034	296	6	highlighting	highlight	VERB
aiti-14034	296	7	the	the	DET
aiti-14034	296	8	trade	trade	NOUN
aiti-14034	296	9	-	-	PUNCT
aiti-14034	296	10	off	off	NOUN
aiti-14034	296	11	between	between	ADP
aiti-14034	296	12	the	the	DET
aiti-14034	296	13	two	two	NUM
aiti-14034	296	14	metrics	metric	NOUN
aiti-14034	296	15	,	,	PUNCT
aiti-14034	296	16	precision	precision	NOUN
aiti-14034	296	17	and	and	CCONJ
aiti-14034	296	18	recall	recall	NOUN
aiti-14034	296	19	,	,	PUNCT
aiti-14034	296	20	is	be	AUX
aiti-14034	296	21	represented	represent	VERB
aiti-14034	296	22	in	in	ADP
aiti-14034	296	23	fig	fig	NOUN
aiti-14034	296	24	.	.	PUNCT
aiti-14034	297	1	11	11	NUM
aiti-14034	297	2	.	.	X
aiti-14034	297	3	fig	fig	NOUN
aiti-14034	297	4	.	.	PUNCT
aiti-14034	298	1	12	12	NUM
aiti-14034	298	2	presents	present	VERB
aiti-14034	298	3	the	the	DET
aiti-14034	298	4	roc	roc	PROPN
aiti-14034	298	5	curve	curve	NOUN
aiti-14034	298	6	,	,	PUNCT
aiti-14034	298	7	which	which	PRON
aiti-14034	298	8	plots	plot	VERB
aiti-14034	298	9	the	the	DET
aiti-14034	298	10	true	true	ADJ
aiti-14034	298	11	positive	positive	ADJ
aiti-14034	298	12	rate	rate	NOUN
aiti-14034	298	13	against	against	ADP
aiti-14034	298	14	the	the	DET
aiti-14034	298	15	false	false	ADJ
aiti-14034	298	16	positive	positive	ADJ
aiti-14034	298	17	rate	rate	NOUN
aiti-14034	298	18	,	,	PUNCT
aiti-14034	298	19	assessing	assess	VERB
aiti-14034	298	20	model	model	NOUN
aiti-14034	298	21	performance	performance	NOUN
aiti-14034	298	22	across	across	ADP
aiti-14034	298	23	different	different	ADJ
aiti-14034	298	24	classification	classification	NOUN
aiti-14034	298	25	thresholds	threshold	NOUN
aiti-14034	298	26	.	.	PUNCT
aiti-14034	299	1	these	these	DET
aiti-14034	299	2	curves	curve	NOUN
aiti-14034	299	3	provide	provide	VERB
aiti-14034	299	4	insights	insight	NOUN
aiti-14034	299	5	into	into	ADP
aiti-14034	299	6	model	model	NOUN
aiti-14034	299	7	effectiveness	effectiveness	NOUN
aiti-14034	299	8	,	,	PUNCT
aiti-14034	299	9	thus	thus	ADV
aiti-14034	299	10	making	make	VERB
aiti-14034	299	11	comparisons	comparison	NOUN
aiti-14034	299	12	possible	possible	ADJ
aiti-14034	299	13	and	and	CCONJ
aiti-14034	299	14	full	full	ADJ
aiti-14034	299	15	decisions	decision	NOUN
aiti-14034	299	16	based	base	VERB
aiti-14034	299	17	on	on	ADP
aiti-14034	299	18	such	such	ADJ
aiti-14034	299	19	performance	performance	NOUN
aiti-14034	299	20	characteristics	characteristic	NOUN
aiti-14034	299	21	.	.	PUNCT
aiti-14034	300	1	(	(	PUNCT
aiti-14034	300	2	a	a	X
aiti-14034	300	3	)	)	PUNCT
aiti-14034	300	4	vgg19+sam	vgg19+sam	NOUN
aiti-14034	300	5	(	(	PUNCT
aiti-14034	300	6	b	b	X
aiti-14034	300	7	)	)	PUNCT
aiti-14034	300	8	resnet-50+sam	resnet-50+sam	NOUN
aiti-14034	300	9	fig	fig	NOUN
aiti-14034	300	10	.	.	PUNCT
aiti-14034	301	1	11	11	NUM
aiti-14034	301	2	the	the	DET
aiti-14034	301	3	precision	precision	NOUN
aiti-14034	301	4	-	-	PUNCT
aiti-14034	301	5	recall	recall	NOUN
aiti-14034	301	6	curve	curve	NOUN
aiti-14034	301	7	(	(	PUNCT
aiti-14034	301	8	a	a	NOUN
aiti-14034	301	9	)	)	PUNCT
aiti-14034	301	10	vgg19+sam	vgg19+sam	NOUN
aiti-14034	301	11	(	(	PUNCT
aiti-14034	301	12	b	b	X
aiti-14034	301	13	)	)	PUNCT
aiti-14034	301	14	resnet-50+sam	resnet-50+sam	NOUN
aiti-14034	301	15	fig	fig	NOUN
aiti-14034	301	16	.	.	PUNCT
aiti-14034	302	1	12	12	NUM
aiti-14034	302	2	the	the	DET
aiti-14034	302	3	roc	roc	PROPN
aiti-14034	302	4	curve	curve	NOUN
aiti-14034	302	5	table	table	NOUN
aiti-14034	302	6	3	3	NUM
aiti-14034	302	7	summarizes	summarize	NOUN
aiti-14034	302	8	the	the	DET
aiti-14034	302	9	most	most	ADV
aiti-14034	302	10	relevant	relevant	ADJ
aiti-14034	302	11	research	research	NOUN
aiti-14034	302	12	efforts	effort	NOUN
aiti-14034	302	13	reviewed	review	VERB
aiti-14034	302	14	.	.	PUNCT
aiti-14034	303	1	this	this	DET
aiti-14034	303	2	collation	collation	NOUN
aiti-14034	303	3	helps	help	VERB
aiti-14034	303	4	provide	provide	VERB
aiti-14034	303	5	input	input	NOUN
aiti-14034	303	6	into	into	ADP
aiti-14034	303	7	the	the	DET
aiti-14034	303	8	commonalities	commonality	NOUN
aiti-14034	303	9	among	among	ADP
aiti-14034	303	10	the	the	DET
aiti-14034	303	11	individual	individual	ADJ
aiti-14034	303	12	studies	study	NOUN
aiti-14034	303	13	,	,	PUNCT
aiti-14034	303	14	which	which	PRON
aiti-14034	303	15	have	have	VERB
aiti-14034	303	16	tremendously	tremendously	ADV
aiti-14034	303	17	advanced	advanced	ADJ
aiti-14034	303	18	arrhythmia	arrhythmia	NOUN
aiti-14034	303	19	diagnosis	diagnosis	NOUN
aiti-14034	303	20	using	use	VERB
aiti-14034	303	21	machine	machine	NOUN
aiti-14034	303	22	and	and	CCONJ
aiti-14034	303	23	deep	deep	ADJ
aiti-14034	303	24	learning	learning	NOUN
aiti-14034	303	25	techniques	technique	NOUN
aiti-14034	303	26	with	with	ADP
aiti-14034	303	27	ecg	ecg	PROPN
aiti-14034	303	28	signal	signal	ADJ
aiti-14034	303	29	analysis	analysis	NOUN
aiti-14034	303	30	.	.	PUNCT
aiti-14034	304	1	table	table	NOUN
aiti-14034	304	2	3	3	NUM
aiti-14034	304	3	comparison	comparison	NOUN
aiti-14034	304	4	of	of	ADP
aiti-14034	304	5	proposed	propose	VERB
aiti-14034	304	6	methodology	methodology	NOUN
aiti-14034	304	7	with	with	ADP
aiti-14034	304	8	some	some	DET
aiti-14034	304	9	existing	exist	VERB
aiti-14034	304	10	method	method	NOUN
aiti-14034	304	11	ref	ref	NOUN
aiti-14034	304	12	.	.	PUNCT
aiti-14034	305	1	model	model	NOUN
aiti-14034	305	2	class	class	NOUN
aiti-14034	305	3	accuracy	accuracy	NOUN
aiti-14034	305	4	specificity	specificity	NOUN
aiti-14034	305	5	sensitivity	sensitivity	NOUN
aiti-14034	305	6	precision	precision	NOUN
aiti-14034	305	7	f1	f1	PROPN
aiti-14034	305	8	score	score	NOUN
aiti-14034	305	9	computational	computational	ADJ
aiti-14034	305	10	complexity	complexity	NOUN
aiti-14034	305	11	[	[	X
aiti-14034	305	12	27	27	NUM
aiti-14034	305	13	]	]	SYM
aiti-14034	305	14	nn	nn	X
aiti-14034	305	15	5	5	NUM
aiti-14034	305	16	98.90	98.90	NUM
aiti-14034	305	17	%	%	NOUN
aiti-14034	305	18	98.90	98.90	NUM
aiti-14034	305	19	%	%	NOUN
aiti-14034	305	20	98.90	98.90	NUM
aiti-14034	305	21	%	%	NOUN
aiti-14034	305	22	low	low	ADJ
aiti-14034	305	23	[	[	X
aiti-14034	305	24	28	28	NUM
aiti-14034	305	25	]	]	X
aiti-14034	305	26	mlp	mlp	NOUN
aiti-14034	305	27	4	4	NUM
aiti-14034	305	28	94.76	94.76	NUM
aiti-14034	305	29	%	%	NOUN
aiti-14034	305	30	96.50	96.50	NUM
aiti-14034	305	31	%	%	NOUN
aiti-14034	305	32	90.11	90.11	NUM
aiti-14034	305	33	%	%	NOUN
aiti-14034	305	34	low	low	ADJ
aiti-14034	305	35	svm	svm	PROPN
aiti-14034	305	36	4	4	NUM
aiti-14034	305	37	98.20	98.20	NUM
aiti-14034	305	38	%	%	NOUN
aiti-14034	305	39	98.79	98.79	NUM
aiti-14034	305	40	%	%	NOUN
aiti-14034	305	41	96.45	96.45	NUM
aiti-14034	305	42	%	%	NOUN
aiti-14034	305	43	medium	medium	NOUN
aiti-14034	305	44	[	[	X
aiti-14034	305	45	29	29	NUM
aiti-14034	305	46	]	]	X
aiti-14034	305	47	lstm	lstm	NOUN
aiti-14034	305	48	5	5	NUM
aiti-14034	305	49	99.37	99.37	NUM
aiti-14034	305	50	%	%	NOUN
aiti-14034	305	51	99.14	99.14	NUM
aiti-14034	305	52	%	%	NOUN
aiti-14034	305	53	94.89	94.89	NUM
aiti-14034	305	54	%	%	NOUN
aiti-14034	305	55	96.73	96.73	NUM
aiti-14034	305	56	%	%	NOUN
aiti-14034	305	57	95.77	95.77	NUM
aiti-14034	305	58	%	%	NOUN
aiti-14034	305	59	medium	medium	NOUN
aiti-14034	305	60	[	[	X
aiti-14034	305	61	30	30	NUM
aiti-14034	305	62	]	]	X
aiti-14034	305	63	cnn	cnn	PROPN
aiti-14034	305	64	3	3	NUM
aiti-14034	305	65	99.2	99.2	NUM
aiti-14034	305	66	%	%	NOUN
aiti-14034	305	67	99.6	99.6	NUM
aiti-14034	305	68	%	%	NOUN
aiti-14034	305	69	99.2	99.2	NUM
aiti-14034	305	70	%	%	NOUN
aiti-14034	305	71	high	high	ADJ
aiti-14034	305	72	2024	2024	NUM
aiti-14034	305	73	this	this	DET
aiti-14034	305	74	work	work	NOUN
aiti-14034	305	75	cnn+sam	cnn+sam	PROPN
aiti-14034	305	76	5	5	NUM
aiti-14034	305	77	99.702	99.702	NUM
aiti-14034	305	78	%	%	NOUN
aiti-14034	305	79	99.93	99.93	NUM
aiti-14034	305	80	%	%	NOUN
aiti-14034	305	81	99.704	99.704	NUM
aiti-14034	305	82	%	%	NOUN
aiti-14034	305	83	99.704	99.704	NUM
aiti-14034	305	84	%	%	NOUN
aiti-14034	305	85	high	high	ADJ
aiti-14034	305	86	2	2	NUM
aiti-14034	305	87	99.85	99.85	NUM
aiti-14034	305	88	%	%	NOUN
aiti-14034	305	89	99.88	99.88	NUM
aiti-14034	305	90	%	%	NOUN
aiti-14034	305	91	99.82	99.82	NUM
aiti-14034	305	92	%	%	NOUN
aiti-14034	305	93	99.88	99.88	NUM
aiti-14034	305	94	%	%	NOUN
aiti-14034	305	95	99.85	99.85	NUM
aiti-14034	305	96	%	%	NOUN
aiti-14034	305	97	advances	advance	NOUN
aiti-14034	305	98	in	in	ADP
aiti-14034	305	99	technology	technology	NOUN
aiti-14034	305	100	innovation	innovation	NOUN
aiti-14034	305	101	,	,	PUNCT
aiti-14034	305	102	vol	vol	NOUN
aiti-14034	305	103	.	.	PROPN
aiti-14034	305	104	10	10	NUM
aiti-14034	305	105	,	,	PUNCT
aiti-14034	305	106	no	no	INTJ
aiti-14034	305	107	.	.	NOUN
aiti-14034	305	108	2	2	NUM
aiti-14034	305	109	,	,	PUNCT
aiti-14034	305	110	2025	2025	NUM
aiti-14034	305	111	,	,	PUNCT
aiti-14034	305	112	pp	pp	ADJ
aiti-14034	305	113	.	.	PUNCT
aiti-14034	306	1	102	102	NUM
aiti-14034	306	2	-	-	SYM
aiti-14034	306	3	117	117	NUM
aiti-14034	306	4	115	115	NUM
aiti-14034	306	5	implementing	implement	VERB
aiti-14034	306	6	the	the	DET
aiti-14034	306	7	deep	deep	ADJ
aiti-14034	306	8	convolutional	convolutional	ADJ
aiti-14034	306	9	network	network	NOUN
aiti-14034	306	10	(	(	PUNCT
aiti-14034	306	11	dcnn	dcnn	PROPN
aiti-14034	306	12	)	)	PUNCT
aiti-14034	306	13	with	with	ADP
aiti-14034	306	14	a	a	DET
aiti-14034	306	15	selective	selective	ADJ
aiti-14034	306	16	attention	attention	NOUN
aiti-14034	306	17	mechanism	mechanism	NOUN
aiti-14034	306	18	(	(	PUNCT
aiti-14034	306	19	sam	sam	PROPN
aiti-14034	306	20	)	)	PUNCT
aiti-14034	306	21	in	in	ADP
aiti-14034	306	22	clinical	clinical	ADJ
aiti-14034	306	23	practice	practice	NOUN
aiti-14034	306	24	offers	offer	VERB
aiti-14034	306	25	significant	significant	ADJ
aiti-14034	306	26	potential	potential	NOUN
aiti-14034	306	27	to	to	PART
aiti-14034	306	28	enhance	enhance	VERB
aiti-14034	306	29	arrhythmia	arrhythmia	NOUN
aiti-14034	306	30	diagnosis	diagnosis	NOUN
aiti-14034	306	31	.	.	PUNCT
aiti-14034	307	1	integrating	integrate	VERB
aiti-14034	307	2	the	the	DET
aiti-14034	307	3	dcnn	dcnn	PROPN
aiti-14034	307	4	-	-	PUNCT
aiti-14034	307	5	sam	sam	PROPN
aiti-14034	307	6	model	model	NOUN
aiti-14034	307	7	into	into	ADP
aiti-14034	307	8	existing	exist	VERB
aiti-14034	307	9	systems	system	NOUN
aiti-14034	307	10	could	could	AUX
aiti-14034	307	11	streamline	streamline	VERB
aiti-14034	307	12	workflows	workflow	NOUN
aiti-14034	307	13	,	,	PUNCT
aiti-14034	307	14	reduce	reduce	VERB
aiti-14034	307	15	diagnostic	diagnostic	ADJ
aiti-14034	307	16	errors	error	NOUN
aiti-14034	307	17	,	,	PUNCT
aiti-14034	307	18	and	and	CCONJ
aiti-14034	307	19	allow	allow	VERB
aiti-14034	307	20	clinicians	clinician	NOUN
aiti-14034	307	21	to	to	PART
aiti-14034	307	22	concentrate	concentrate	VERB
aiti-14034	307	23	on	on	ADP
aiti-14034	307	24	complex	complex	ADJ
aiti-14034	307	25	cases	case	NOUN
aiti-14034	307	26	.	.	PUNCT
aiti-14034	308	1	training	training	NOUN
aiti-14034	308	2	programs	program	NOUN
aiti-14034	308	3	will	will	AUX
aiti-14034	308	4	be	be	AUX
aiti-14034	308	5	necessary	necessary	ADJ
aiti-14034	308	6	to	to	PART
aiti-14034	308	7	help	help	VERB
aiti-14034	308	8	clinicians	clinician	NOUN
aiti-14034	308	9	interpret	interpret	VERB
aiti-14034	308	10	the	the	DET
aiti-14034	308	11	model	model	NOUN
aiti-14034	308	12	's	's	PART
aiti-14034	308	13	outputs	output	NOUN
aiti-14034	308	14	appropriately	appropriately	ADV
aiti-14034	308	15	.	.	PUNCT
aiti-14034	309	1	challenges	challenge	NOUN
aiti-14034	309	2	may	may	AUX
aiti-14034	309	3	include	include	VERB
aiti-14034	309	4	ensuring	ensure	VERB
aiti-14034	309	5	system	system	NOUN
aiti-14034	309	6	compatibility	compatibility	NOUN
aiti-14034	309	7	and	and	CCONJ
aiti-14034	309	8	addressing	address	VERB
aiti-14034	309	9	data	datum	NOUN
aiti-14034	309	10	security	security	NOUN
aiti-14034	309	11	concerns	concern	NOUN
aiti-14034	309	12	.	.	PUNCT
aiti-14034	310	1	these	these	DET
aiti-14034	310	2	problems	problem	NOUN
aiti-14034	310	3	are	be	AUX
aiti-14034	310	4	key	key	ADJ
aiti-14034	310	5	concerns	concern	NOUN
aiti-14034	310	6	for	for	ADP
aiti-14034	310	7	widespread	widespread	ADJ
aiti-14034	310	8	adoption	adoption	NOUN
aiti-14034	310	9	.	.	PUNCT
aiti-14034	311	1	ultimately	ultimately	ADV
aiti-14034	311	2	,	,	PUNCT
aiti-14034	311	3	by	by	ADP
aiti-14034	311	4	increasing	increase	VERB
aiti-14034	311	5	the	the	DET
aiti-14034	311	6	accuracy	accuracy	NOUN
aiti-14034	311	7	of	of	ADP
aiti-14034	311	8	diagnostics	diagnostic	NOUN
aiti-14034	311	9	,	,	PUNCT
aiti-14034	311	10	this	this	DET
aiti-14034	311	11	approach	approach	NOUN
aiti-14034	311	12	enhances	enhance	VERB
aiti-14034	311	13	diagnostic	diagnostic	ADJ
aiti-14034	311	14	accuracy	accuracy	NOUN
aiti-14034	311	15	,	,	PUNCT
aiti-14034	311	16	provides	provide	VERB
aiti-14034	311	17	clearer	clear	ADJ
aiti-14034	311	18	insights	insight	NOUN
aiti-14034	311	19	into	into	ADP
aiti-14034	311	20	ecg	ecg	PROPN
aiti-14034	311	21	signals	signal	NOUN
aiti-14034	311	22	,	,	PUNCT
aiti-14034	311	23	and	and	CCONJ
aiti-14034	311	24	supports	support	VERB
aiti-14034	311	25	timely	timely	ADV
aiti-14034	311	26	,	,	PUNCT
aiti-14034	311	27	individualized	individualized	ADJ
aiti-14034	311	28	treatment	treatment	NOUN
aiti-14034	311	29	plans	plan	NOUN
aiti-14034	311	30	,	,	PUNCT
aiti-14034	311	31	hence	hence	ADV
aiti-14034	311	32	improving	improve	VERB
aiti-14034	311	33	patients	patient	NOUN
aiti-14034	311	34	'	'	PART
aiti-14034	311	35	outcomes	outcome	NOUN
aiti-14034	311	36	in	in	ADP
aiti-14034	311	37	cardiovascular	cardiovascular	ADJ
aiti-14034	311	38	care	care	NOUN
aiti-14034	311	39	.	.	PUNCT
aiti-14034	312	1	6	6	X
aiti-14034	312	2	.	.	X
aiti-14034	312	3	conclusion	conclusion	NOUN
aiti-14034	312	4	this	this	DET
aiti-14034	312	5	study	study	NOUN
aiti-14034	312	6	proposed	propose	VERB
aiti-14034	312	7	a	a	DET
aiti-14034	312	8	model	model	NOUN
aiti-14034	312	9	for	for	ADP
aiti-14034	312	10	arrhythmia	arrhythmia	NOUN
aiti-14034	312	11	diagnosis	diagnosis	NOUN
aiti-14034	312	12	based	base	VERB
aiti-14034	312	13	on	on	ADP
aiti-14034	312	14	ecg	ecg	PROPN
aiti-14034	312	15	signal	signal	NOUN
aiti-14034	312	16	classification	classification	NOUN
aiti-14034	312	17	using	use	VERB
aiti-14034	312	18	pre	pre	ADJ
aiti-14034	312	19	-	-	ADJ
aiti-14034	312	20	trained	train	VERB
aiti-14034	312	21	resnet-50	resnet-50	PROPN
aiti-14034	312	22	and	and	CCONJ
aiti-14034	312	23	vgg19	vgg19	NOUN
aiti-14034	312	24	models	model	NOUN
aiti-14034	312	25	combined	combine	VERB
aiti-14034	312	26	with	with	ADP
aiti-14034	312	27	a	a	DET
aiti-14034	312	28	selective	selective	ADJ
aiti-14034	312	29	attention	attention	NOUN
aiti-14034	312	30	mechanism	mechanism	NOUN
aiti-14034	312	31	to	to	PART
aiti-14034	312	32	enhance	enhance	VERB
aiti-14034	312	33	accuracy	accuracy	NOUN
aiti-14034	312	34	and	and	CCONJ
aiti-14034	312	35	robustness	robustness	NOUN
aiti-14034	312	36	by	by	ADP
aiti-14034	312	37	focusing	focus	VERB
aiti-14034	312	38	on	on	ADP
aiti-14034	312	39	prominent	prominent	ADJ
aiti-14034	312	40	signal	signal	NOUN
aiti-14034	312	41	patterns	pattern	NOUN
aiti-14034	312	42	.	.	PUNCT
aiti-14034	313	1	the	the	DET
aiti-14034	313	2	approach	approach	NOUN
aiti-14034	313	3	involved	involve	VERB
aiti-14034	313	4	preprocessing	preprocesse	VERB
aiti-14034	313	5	ecg	ecg	PROPN
aiti-14034	313	6	signals	signal	NOUN
aiti-14034	313	7	,	,	PUNCT
aiti-14034	313	8	fine	fine	ADV
aiti-14034	313	9	-	-	PUNCT
aiti-14034	313	10	tuning	tune	VERB
aiti-14034	313	11	the	the	DET
aiti-14034	313	12	models	model	NOUN
aiti-14034	313	13	for	for	ADP
aiti-14034	313	14	binary	binary	ADJ
aiti-14034	313	15	and	and	CCONJ
aiti-14034	313	16	multiclass	multiclass	ADJ
aiti-14034	313	17	classification	classification	NOUN
aiti-14034	313	18	,	,	PUNCT
aiti-14034	313	19	and	and	CCONJ
aiti-14034	313	20	utilizing	utilize	VERB
aiti-14034	313	21	attention	attention	NOUN
aiti-14034	313	22	scores	score	NOUN
aiti-14034	313	23	to	to	PART
aiti-14034	313	24	emphasize	emphasize	VERB
aiti-14034	313	25	critical	critical	ADJ
aiti-14034	313	26	signal	signal	NOUN
aiti-14034	313	27	segments	segment	NOUN
aiti-14034	313	28	during	during	ADP
aiti-14034	313	29	feature	feature	NOUN
aiti-14034	313	30	extraction	extraction	NOUN
aiti-14034	313	31	and	and	CCONJ
aiti-14034	313	32	classification	classification	NOUN
aiti-14034	313	33	.	.	PUNCT
aiti-14034	314	1	the	the	DET
aiti-14034	314	2	proposed	propose	VERB
aiti-14034	314	3	approach	approach	NOUN
aiti-14034	314	4	significantly	significantly	ADV
aiti-14034	314	5	outperformed	outperform	VERB
aiti-14034	314	6	traditional	traditional	ADJ
aiti-14034	314	7	methods	method	NOUN
aiti-14034	314	8	,	,	PUNCT
aiti-14034	314	9	achieving	achieve	VERB
aiti-14034	314	10	high	high	ADJ
aiti-14034	314	11	accuracy	accuracy	NOUN
aiti-14034	314	12	rates	rate	NOUN
aiti-14034	314	13	of	of	ADP
aiti-14034	314	14	99.70	99.70	NUM
aiti-14034	314	15	%	%	NOUN
aiti-14034	314	16	and	and	CCONJ
aiti-14034	314	17	99.85	99.85	NUM
aiti-14034	314	18	%	%	NOUN
aiti-14034	314	19	in	in	ADP
aiti-14034	314	20	multi	multi	ADJ
aiti-14034	314	21	-	-	ADJ
aiti-14034	314	22	class	class	ADJ
aiti-14034	314	23	and	and	CCONJ
aiti-14034	314	24	binary	binary	NOUN
aiti-14034	314	25	arrhythmia	arrhythmia	NOUN
aiti-14034	314	26	classification	classification	NOUN
aiti-14034	314	27	between	between	ADP
aiti-14034	314	28	myocardial	myocardial	ADJ
aiti-14034	314	29	and	and	CCONJ
aiti-14034	314	30	normal	normal	ADJ
aiti-14034	314	31	cases	case	NOUN
aiti-14034	314	32	,	,	PUNCT
aiti-14034	314	33	respectively	respectively	ADV
aiti-14034	314	34	.	.	PUNCT
aiti-14034	315	1	with	with	ADP
aiti-14034	315	2	its	its	PRON
aiti-14034	315	3	highly	highly	ADV
aiti-14034	315	4	accurate	accurate	ADJ
aiti-14034	315	5	ecg	ecg	PROPN
aiti-14034	315	6	signal	signal	PROPN
aiti-14034	315	7	classification	classification	NOUN
aiti-14034	315	8	,	,	PUNCT
aiti-14034	315	9	this	this	DET
aiti-14034	315	10	approach	approach	NOUN
aiti-14034	315	11	can	can	AUX
aiti-14034	315	12	improve	improve	VERB
aiti-14034	315	13	diagnostic	diagnostic	ADJ
aiti-14034	315	14	efficiency	efficiency	NOUN
aiti-14034	315	15	and	and	CCONJ
aiti-14034	315	16	accuracy	accuracy	NOUN
aiti-14034	315	17	in	in	ADP
aiti-14034	315	18	managing	manage	VERB
aiti-14034	315	19	cardiovascular	cardiovascular	ADJ
aiti-14034	315	20	disease	disease	NOUN
aiti-14034	315	21	.	.	PUNCT
aiti-14034	316	1	conflicts	conflict	NOUN
aiti-14034	316	2	of	of	ADP
aiti-14034	316	3	interest	interest	NOUN
aiti-14034	316	4	the	the	DET
aiti-14034	316	5	authors	author	NOUN
aiti-14034	316	6	declare	declare	VERB
aiti-14034	316	7	no	no	DET
aiti-14034	316	8	conflict	conflict	NOUN
aiti-14034	316	9	of	of	ADP
aiti-14034	316	10	interest	interest	NOUN
aiti-14034	316	11	.	.	PUNCT
aiti-14034	317	1	statement	statement	NOUN
aiti-14034	317	2	of	of	ADP
aiti-14034	317	3	ethical	ethical	ADJ
aiti-14034	317	4	approval	approval	NOUN
aiti-14034	317	5	for	for	ADP
aiti-14034	317	6	this	this	DET
aiti-14034	317	7	type	type	NOUN
aiti-14034	317	8	of	of	ADP
aiti-14034	317	9	study	study	NOUN
aiti-14034	317	10	,	,	PUNCT
aiti-14034	317	11	statement	statement	NOUN
aiti-14034	317	12	of	of	ADP
aiti-14034	317	13	human	human	ADJ
aiti-14034	317	14	rights	right	NOUN
aiti-14034	317	15	is	be	AUX
aiti-14034	317	16	not	not	PART
aiti-14034	317	17	required	require	VERB
aiti-14034	317	18	.	.	PUNCT
aiti-14034	318	1	references	reference	NOUN
aiti-14034	318	2	[	[	X
aiti-14034	318	3	1	1	NUM
aiti-14034	318	4	]	]	X
aiti-14034	318	5	o.	o.	PROPN
aiti-14034	318	6	gaidai	gaidai	PROPN
aiti-14034	318	7	,	,	PUNCT
aiti-14034	318	8	y.	y.	PROPN
aiti-14034	318	9	cao	cao	PROPN
aiti-14034	318	10	,	,	PUNCT
aiti-14034	318	11	and	and	CCONJ
aiti-14034	318	12	s.	s.	PROPN
aiti-14034	318	13	loginov	loginov	PROPN
aiti-14034	318	14	,	,	PUNCT
aiti-14034	318	15	“	"	PUNCT
aiti-14034	318	16	global	global	ADJ
aiti-14034	318	17	cardiovascular	cardiovascular	ADJ
aiti-14034	318	18	diseases	disease	NOUN
aiti-14034	318	19	death	death	NOUN
aiti-14034	318	20	rate	rate	NOUN
aiti-14034	318	21	prediction	prediction	NOUN
aiti-14034	318	22	,	,	PUNCT
aiti-14034	318	23	”	"	PUNCT
aiti-14034	318	24	current	current	ADJ
aiti-14034	318	25	problems	problem	NOUN
aiti-14034	318	26	in	in	ADP
aiti-14034	318	27	cardiology	cardiology	NOUN
aiti-14034	318	28	,	,	PUNCT
aiti-14034	318	29	vol	vol	NOUN
aiti-14034	318	30	.	.	PROPN
aiti-14034	318	31	48	48	NUM
aiti-14034	318	32	,	,	PUNCT
aiti-14034	318	33	no	no	INTJ
aiti-14034	318	34	.	.	NOUN
aiti-14034	318	35	5	5	NUM
aiti-14034	318	36	,	,	PUNCT
aiti-14034	318	37	article	article	NOUN
aiti-14034	318	38	no	no	NOUN
aiti-14034	318	39	.	.	PROPN
aiti-14034	318	40	101622	101622	NUM
aiti-14034	318	41	,	,	PUNCT
aiti-14034	318	42	2023	2023	NUM
aiti-14034	318	43	.	.	PUNCT
aiti-14034	319	1	[	[	X
aiti-14034	319	2	2	2	NUM
aiti-14034	319	3	]	]	X
aiti-14034	319	4	b.	b.	PROPN
aiti-14034	319	5	r.	r.	PROPN
aiti-14034	319	6	smith	smith	PROPN
aiti-14034	319	7	and	and	CCONJ
aiti-14034	319	8	e.	e.	PROPN
aiti-14034	319	9	r.	r.	PROPN
aiti-14034	319	10	edelman	edelman	PROPN
aiti-14034	319	11	,	,	PUNCT
aiti-14034	319	12	“	"	PUNCT
aiti-14034	319	13	nanomedicines	nanomedicine	NOUN
aiti-14034	319	14	for	for	ADP
aiti-14034	319	15	cardiovascular	cardiovascular	ADJ
aiti-14034	319	16	disease	disease	NOUN
aiti-14034	319	17	,	,	PUNCT
aiti-14034	319	18	”	"	PUNCT
aiti-14034	319	19	nature	nature	NOUN
aiti-14034	319	20	cardiovascular	cardiovascular	ADJ
aiti-14034	319	21	research	research	NOUN
aiti-14034	319	22	,	,	PUNCT
aiti-14034	319	23	vol	vol	NOUN
aiti-14034	319	24	.	.	PROPN
aiti-14034	320	1	2	2	NUM
aiti-14034	320	2	,	,	PUNCT
aiti-14034	320	3	pp	pp	ADJ
aiti-14034	320	4	.	.	PUNCT
aiti-14034	321	1	351	351	NUM
aiti-14034	321	2	-	-	SYM
aiti-14034	321	3	367	367	NUM
aiti-14034	321	4	,	,	PUNCT
aiti-14034	321	5	2023	2023	NUM
aiti-14034	321	6	.	.	PUNCT
aiti-14034	322	1	[	[	X
aiti-14034	322	2	3	3	X
aiti-14034	322	3	]	]	PUNCT
aiti-14034	322	4	v.	v.	ADP
aiti-14034	322	5	a.	a.	PROPN
aiti-14034	322	6	ardeti	ardeti	PROPN
aiti-14034	322	7	,	,	PUNCT
aiti-14034	322	8	v.	v.	PROPN
aiti-14034	322	9	r.	r.	PROPN
aiti-14034	322	10	kolluru	kolluru	PROPN
aiti-14034	322	11	,	,	PUNCT
aiti-14034	322	12	g.	g.	PROPN
aiti-14034	322	13	t.	t.	PROPN
aiti-14034	322	14	varghese	varghese	PROPN
aiti-14034	322	15	,	,	PUNCT
aiti-14034	322	16	and	and	CCONJ
aiti-14034	322	17	r.	r.	PROPN
aiti-14034	322	18	k.	k.	PROPN
aiti-14034	322	19	patjoshi	patjoshi	PROPN
aiti-14034	322	20	,	,	PUNCT
aiti-14034	322	21	“	"	PUNCT
aiti-14034	322	22	an	an	DET
aiti-14034	322	23	overview	overview	NOUN
aiti-14034	322	24	on	on	ADP
aiti-14034	322	25	state	state	NOUN
aiti-14034	322	26	-	-	PUNCT
aiti-14034	322	27	of	of	ADP
aiti-14034	322	28	-	-	PUNCT
aiti-14034	322	29	the	the	DET
aiti-14034	322	30	-	-	PUNCT
aiti-14034	322	31	art	art	NOUN
aiti-14034	322	32	electrocardiogram	electrocardiogram	NOUN
aiti-14034	322	33	signal	signal	NOUN
aiti-14034	322	34	processing	processing	NOUN
aiti-14034	322	35	methods	method	NOUN
aiti-14034	322	36	:	:	PUNCT
aiti-14034	322	37	traditional	traditional	ADJ
aiti-14034	322	38	to	to	PART
aiti-14034	322	39	ai	ai	VERB
aiti-14034	322	40	-	-	PUNCT
aiti-14034	322	41	based	base	VERB
aiti-14034	322	42	approaches	approach	NOUN
aiti-14034	322	43	,	,	PUNCT
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aiti-14034	324	44	.	.	PROPN
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aiti-14034	336	15	u.	u.	PROPN
aiti-14034	336	16	r.	r.	PROPN
aiti-14034	336	17	acharya	acharya	PROPN
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aiti-14034	336	23	deep	deep	ADJ
aiti-14034	336	24	convolutional	convolutional	ADJ
aiti-14034	336	25	neural	neural	ADJ
aiti-14034	336	26	network	network	NOUN
aiti-14034	336	27	with	with	ADP
aiti-14034	336	28	long	long	ADJ
aiti-14034	336	29	duration	duration	NOUN
aiti-14034	336	30	ecg	ecg	PROPN
aiti-14034	336	31	signals	signal	NOUN
aiti-14034	336	32	,	,	PUNCT
aiti-14034	336	33	”	"	PUNCT
aiti-14034	336	34	computers	computer	NOUN
aiti-14034	336	35	in	in	ADP
aiti-14034	336	36	biology	biology	NOUN
aiti-14034	336	37	and	and	CCONJ
aiti-14034	336	38	medicine	medicine	NOUN
aiti-14034	336	39	,	,	PUNCT
aiti-14034	336	40	vol	vol	NOUN
aiti-14034	336	41	.	.	PROPN
aiti-14034	336	42	102	102	NUM
aiti-14034	336	43	,	,	PUNCT
aiti-14034	336	44	pp	pp	ADJ
aiti-14034	336	45	.	.	PUNCT
aiti-14034	337	1	411	411	NUM
aiti-14034	337	2	-	-	SYM
aiti-14034	337	3	420	420	NUM
aiti-14034	337	4	,	,	PUNCT
aiti-14034	337	5	2018	2018	NUM
aiti-14034	337	6	.	.	PUNCT
aiti-14034	338	1	[	[	X
aiti-14034	338	2	12	12	NUM
aiti-14034	338	3	]	]	X
aiti-14034	338	4	u.	u.	PROPN
aiti-14034	338	5	r.	r.	PROPN
aiti-14034	338	6	acharya	acharya	PROPN
aiti-14034	338	7	,	,	PUNCT
aiti-14034	338	8	h.	h.	PROPN
aiti-14034	338	9	fujita	fujita	PROPN
aiti-14034	338	10	,	,	PUNCT
aiti-14034	338	11	s.	s.	PROPN
aiti-14034	338	12	l.	l.	PROPN
aiti-14034	339	1	oh	oh	INTJ
aiti-14034	339	2	,	,	PUNCT
aiti-14034	339	3	y.	y.	PROPN
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aiti-14034	339	5	,	,	PUNCT
aiti-14034	339	6	j.	j.	PROPN
aiti-14034	339	7	h.	h.	PROPN
aiti-14034	339	8	tan	tan	PROPN
aiti-14034	339	9	,	,	PUNCT
aiti-14034	339	10	and	and	CCONJ
aiti-14034	339	11	m.	m.	PROPN
aiti-14034	339	12	adam	adam	PROPN
aiti-14034	339	13	,	,	PUNCT
aiti-14034	339	14	“	"	PUNCT
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aiti-14034	339	16	of	of	ADP
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aiti-14034	339	18	convolutional	convolutional	ADJ
aiti-14034	339	19	neural	neural	ADJ
aiti-14034	339	20	network	network	NOUN
aiti-14034	339	21	for	for	ADP
aiti-14034	339	22	automated	automate	VERB
aiti-14034	339	23	detection	detection	NOUN
aiti-14034	339	24	of	of	ADP
aiti-14034	339	25	myocardial	myocardial	ADJ
aiti-14034	339	26	infarction	infarction	NOUN
aiti-14034	339	27	using	use	VERB
aiti-14034	339	28	ecg	ecg	PROPN
aiti-14034	339	29	signals	signal	NOUN
aiti-14034	339	30	,	,	PUNCT
aiti-14034	339	31	”	"	PUNCT
aiti-14034	339	32	information	information	NOUN
aiti-14034	339	33	sciences	science	NOUN
aiti-14034	339	34	,	,	PUNCT
aiti-14034	339	35	vol	vol	NOUN
aiti-14034	339	36	.	.	PUNCT
aiti-14034	340	1	415	415	NUM
aiti-14034	340	2	-	-	SYM
aiti-14034	340	3	416	416	NUM
aiti-14034	340	4	,	,	PUNCT
aiti-14034	340	5	pp	pp	ADJ
aiti-14034	340	6	.	.	PUNCT
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aiti-14034	341	2	-	-	SYM
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aiti-14034	341	4	,	,	PUNCT
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aiti-14034	341	6	.	.	PUNCT
aiti-14034	342	1	[	[	X
aiti-14034	342	2	13	13	NUM
aiti-14034	342	3	]	]	PUNCT
aiti-14034	342	4	r.	r.	PROPN
aiti-14034	342	5	j.	j.	PROPN
aiti-14034	342	6	martis	martis	PROPN
aiti-14034	342	7	,	,	PUNCT
aiti-14034	342	8	u.	u.	PROPN
aiti-14034	342	9	r.	r.	PROPN
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aiti-14034	342	11	,	,	PUNCT
aiti-14034	342	12	k.	k.	PROPN
aiti-14034	342	13	m.	m.	PROPN
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aiti-14034	342	15	,	,	PUNCT
aiti-14034	342	16	a.	a.	PROPN
aiti-14034	342	17	k.	k.	PROPN
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aiti-14034	342	20	and	and	CCONJ
aiti-14034	342	21	c.	c.	PROPN
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aiti-14034	342	23	,	,	PUNCT
aiti-14034	342	24	“	"	PUNCT
aiti-14034	342	25	cardiac	cardiac	ADJ
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aiti-14034	342	28	using	use	VERB
aiti-14034	342	29	higher	high	ADJ
aiti-14034	342	30	order	order	NOUN
aiti-14034	342	31	spectra	spectra	NOUN
aiti-14034	342	32	,	,	PUNCT
aiti-14034	342	33	”	"	PUNCT
aiti-14034	342	34	biomedical	biomedical	ADJ
aiti-14034	342	35	signal	signal	NOUN
aiti-14034	342	36	processing	processing	NOUN
aiti-14034	342	37	and	and	CCONJ
aiti-14034	342	38	control	control	NOUN
aiti-14034	342	39	,	,	PUNCT
aiti-14034	342	40	vol	vol	NOUN
aiti-14034	342	41	.	.	PROPN
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aiti-14034	342	43	,	,	PUNCT
aiti-14034	342	44	no	no	INTJ
aiti-14034	342	45	.	.	NOUN
aiti-14034	342	46	2	2	NUM
aiti-14034	342	47	,	,	PUNCT
aiti-14034	342	48	pp	pp	ADJ
aiti-14034	342	49	.	.	PUNCT
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aiti-14034	342	51	-	-	SYM
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aiti-14034	342	53	,	,	PUNCT
aiti-14034	342	54	2013	2013	NUM
aiti-14034	342	55	.	.	PUNCT
aiti-14034	343	1	[	[	X
aiti-14034	343	2	14	14	NUM
aiti-14034	343	3	]	]	X
aiti-14034	343	4	d.	d.	PROPN
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aiti-14034	343	6	,	,	PUNCT
aiti-14034	343	7	j.	j.	PROPN
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aiti-14034	343	9	,	,	PUNCT
aiti-14034	343	10	q.	q.	PROPN
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aiti-14034	343	13	and	and	CCONJ
aiti-14034	343	14	x.	x.	PROPN
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aiti-14034	343	16	,	,	PUNCT
aiti-14034	343	17	“	"	PUNCT
aiti-14034	343	18	classification	classification	NOUN
aiti-14034	343	19	of	of	ADP
aiti-14034	343	20	ecg	ecg	PROPN
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aiti-14034	343	23	on	on	ADP
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aiti-14034	343	27	network	network	NOUN
aiti-14034	343	28	,	,	PUNCT
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aiti-14034	343	30	proceedings	proceeding	NOUN
aiti-14034	343	31	of	of	ADP
aiti-14034	343	32	ieee	ieee	NOUN
aiti-14034	343	33	19th	19th	ADJ
aiti-14034	343	34	international	international	ADJ
aiti-14034	343	35	conference	conference	NOUN
aiti-14034	343	36	on	on	ADP
aiti-14034	343	37	e	e	NOUN
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aiti-14034	343	40	networking	networking	NOUN
aiti-14034	343	41	,	,	PUNCT
aiti-14034	343	42	applications	application	NOUN
aiti-14034	343	43	and	and	CCONJ
aiti-14034	343	44	services	service	NOUN
aiti-14034	343	45	(	(	PUNCT
aiti-14034	343	46	healthcom	healthcom	PROPN
aiti-14034	343	47	)	)	PUNCT
aiti-14034	343	48	,	,	PUNCT
aiti-14034	343	49	pp	pp	PROPN
aiti-14034	343	50	.	.	PUNCT
aiti-14034	344	1	1	1	NUM
aiti-14034	344	2	-	-	SYM
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aiti-14034	344	4	,	,	PUNCT
aiti-14034	344	5	2017	2017	NUM
aiti-14034	344	6	.	.	PUNCT
aiti-14034	345	1	[	[	X
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aiti-14034	345	3	]	]	X
aiti-14034	345	4	j.	j.	PROPN
aiti-14034	345	5	a.	a.	PROPN
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aiti-14034	345	7	-	-	PUNCT
aiti-14034	345	8	gnecchi	gnecchi	PROPN
aiti-14034	345	9	,	,	PUNCT
aiti-14034	345	10	r.	r.	PROPN
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aiti-14034	345	12	-	-	PUNCT
aiti-14034	345	13	magaña	magaña	PROPN
aiti-14034	345	14	,	,	PUNCT
aiti-14034	345	15	d.	d.	PROPN
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aiti-14034	345	17	-	-	PUNCT
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aiti-14034	345	19	,	,	PUNCT
aiti-14034	345	20	a.	a.	PROPN
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aiti-14034	345	22	c.	c.	PROPN
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aiti-14034	345	24	-	-	PUNCT
aiti-14034	345	25	anguiano	anguiano	PROPN
aiti-14034	345	26	,	,	PUNCT
aiti-14034	345	27	e.	e.	PROPN
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aiti-14034	345	34	-	-	PUNCT
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aiti-14034	345	36	,	,	PUNCT
aiti-14034	345	37	et	et	PROPN
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aiti-14034	345	61	,	,	PUNCT
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aiti-14034	345	65	,	,	PUNCT
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aiti-14034	346	4	,	,	PUNCT
aiti-14034	346	5	2017	2017	NUM
aiti-14034	346	6	.	.	PUNCT
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aiti-14034	347	11	,	,	PUNCT
aiti-14034	347	12	“	"	PUNCT
aiti-14034	347	13	ecg	ecg	PROPN
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aiti-14034	347	30	conference	conference	NOUN
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aiti-14034	347	36	,	,	PUNCT
aiti-14034	347	37	information	information	NOUN
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aiti-14034	347	39	communication	communication	NOUN
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aiti-14034	347	41	,	,	PUNCT
aiti-14034	347	42	pp	pp	ADP
aiti-14034	347	43	.	.	PUNCT
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aiti-14034	348	2	-	-	SYM
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aiti-14034	349	34	and	and	CCONJ
aiti-14034	349	35	control	control	NOUN
aiti-14034	349	36	,	,	PUNCT
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aiti-14034	349	45	,	,	PUNCT
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aiti-14034	349	47	.	.	PUNCT
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aiti-14034	350	2	18	18	NUM
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aiti-14034	350	18	“	"	PUNCT
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aiti-14034	350	33	”	"	PUNCT
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aiti-14034	350	42	,	,	PUNCT
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aiti-14034	350	45	.	.	PROPN
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aiti-14034	350	47	,	,	PUNCT
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aiti-14034	350	49	.	.	PUNCT
aiti-14034	351	1	[	[	X
aiti-14034	351	2	19	19	NUM
aiti-14034	351	3	]	]	X
aiti-14034	351	4	s.	s.	PROPN
aiti-14034	351	5	m.	m.	PROPN
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aiti-14034	351	8	a.	a.	NOUN
aiti-14034	351	9	mihoub	mihoub	PROPN
aiti-14034	351	10	,	,	PUNCT
aiti-14034	351	11	m.	m.	NOUN
aiti-14034	351	12	krichen	krichen	NOUN
aiti-14034	351	13	,	,	PUNCT
aiti-14034	351	14	and	and	CCONJ
aiti-14034	351	15	h.	h.	PROPN
aiti-14034	351	16	nisar	nisar	PROPN
aiti-14034	351	17	,	,	PUNCT
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aiti-14034	351	19	multirate	multirate	ADJ
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aiti-14034	351	21	with	with	ADP
aiti-14034	351	22	selective	selective	ADJ
aiti-14034	351	23	subbands	subband	NOUN
aiti-14034	351	24	and	and	CCONJ
aiti-14034	351	25	machine	machine	NOUN
aiti-14034	351	26	learning	learn	VERB
aiti-14034	351	27	for	for	ADP
aiti-14034	351	28	efficient	efficient	ADJ
aiti-14034	351	29	arrhythmia	arrhythmia	NOUN
aiti-14034	351	30	classification	classification	NOUN
aiti-14034	351	31	,	,	PUNCT
aiti-14034	351	32	”	"	PUNCT
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aiti-14034	351	34	,	,	PUNCT
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aiti-14034	351	36	.	.	PROPN
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aiti-14034	351	38	,	,	PUNCT
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aiti-14034	351	40	.	.	NOUN
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aiti-14034	351	42	,	,	PUNCT
aiti-14034	351	43	article	article	NOUN
aiti-14034	351	44	no	no	NOUN
aiti-14034	351	45	.	.	PROPN
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aiti-14034	351	47	,	,	PUNCT
aiti-14034	351	48	2021	2021	NUM
aiti-14034	351	49	.	.	PUNCT
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aiti-14034	352	2	20	20	NUM
aiti-14034	352	3	]	]	X
aiti-14034	352	4	f.	f.	PROPN
aiti-14034	352	5	murat	murat	PROPN
aiti-14034	352	6	,	,	PUNCT
aiti-14034	352	7	o.	o.	PROPN
aiti-14034	352	8	yildirim	yildirim	PROPN
aiti-14034	352	9	,	,	PUNCT
aiti-14034	352	10	m.	m.	NOUN
aiti-14034	352	11	talo	talo	PROPN
aiti-14034	352	12	,	,	PUNCT
aiti-14034	352	13	u.	u.	PROPN
aiti-14034	352	14	b.	b.	PROPN
aiti-14034	352	15	baloglu	baloglu	PROPN
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aiti-14034	352	17	y.	y.	PROPN
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aiti-14034	352	19	,	,	PUNCT
aiti-14034	352	20	and	and	CCONJ
aiti-14034	352	21	u.	u.	PROPN
aiti-14034	352	22	r.	r.	PROPN
aiti-14034	352	23	acharya	acharya	PROPN
aiti-14034	352	24	,	,	PUNCT
aiti-14034	352	25	“	"	PUNCT
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aiti-14034	352	28	deep	deep	ADJ
aiti-14034	352	29	learning	learning	NOUN
aiti-14034	352	30	techniques	technique	NOUN
aiti-14034	352	31	for	for	ADP
aiti-14034	352	32	heartbeats	heartbeat	NOUN
aiti-14034	352	33	detection	detection	NOUN
aiti-14034	352	34	using	use	VERB
aiti-14034	352	35	ecg	ecg	PROPN
aiti-14034	352	36	signals	signal	NOUN
aiti-14034	352	37	-	-	PUNCT
aiti-14034	352	38	analysis	analysis	NOUN
aiti-14034	352	39	and	and	CCONJ
aiti-14034	352	40	review	review	NOUN
aiti-14034	352	41	,	,	PUNCT
aiti-14034	352	42	”	"	PUNCT
aiti-14034	352	43	computers	computer	NOUN
aiti-14034	352	44	in	in	ADP
aiti-14034	352	45	biology	biology	NOUN
aiti-14034	352	46	and	and	CCONJ
aiti-14034	352	47	medicine	medicine	NOUN
aiti-14034	352	48	,	,	PUNCT
aiti-14034	352	49	vol	vol	NOUN
aiti-14034	352	50	.	.	PROPN
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aiti-14034	352	52	,	,	PUNCT
aiti-14034	352	53	article	article	NOUN
aiti-14034	352	54	no	no	NOUN
aiti-14034	352	55	.	.	PROPN
aiti-14034	352	56	103726	103726	NUM
aiti-14034	352	57	,	,	PUNCT
aiti-14034	352	58	2020	2020	NUM
aiti-14034	352	59	.	.	PUNCT
aiti-14034	353	1	[	[	X
aiti-14034	353	2	21	21	NUM
aiti-14034	353	3	]	]	X
aiti-14034	353	4	u.	u.	PROPN
aiti-14034	353	5	r.	r.	PROPN
aiti-14034	353	6	acharya	acharya	PROPN
aiti-14034	353	7	,	,	PUNCT
aiti-14034	353	8	s.	s.	PROPN
aiti-14034	353	9	l.	l.	PROPN
aiti-14034	354	1	oh	oh	INTJ
aiti-14034	354	2	,	,	PUNCT
aiti-14034	354	3	y.	y.	PROPN
aiti-14034	354	4	hagiwara	hagiwara	PROPN
aiti-14034	354	5	,	,	PUNCT
aiti-14034	354	6	j.	j.	PROPN
aiti-14034	354	7	h.	h.	PROPN
aiti-14034	354	8	tan	tan	PROPN
aiti-14034	354	9	,	,	PUNCT
aiti-14034	354	10	and	and	CCONJ
aiti-14034	354	11	h.	h.	PROPN
aiti-14034	354	12	adeli	adeli	PROPN
aiti-14034	354	13	,	,	PUNCT
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aiti-14034	354	15	deep	deep	ADJ
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aiti-14034	354	17	neural	neural	ADJ
aiti-14034	354	18	network	network	NOUN
aiti-14034	354	19	for	for	ADP
aiti-14034	354	20	the	the	DET
aiti-14034	354	21	automated	automate	VERB
aiti-14034	354	22	detection	detection	NOUN
aiti-14034	354	23	and	and	CCONJ
aiti-14034	354	24	diagnosis	diagnosis	NOUN
aiti-14034	354	25	of	of	ADP
aiti-14034	354	26	seizure	seizure	NOUN
aiti-14034	354	27	using	use	VERB
aiti-14034	354	28	eeg	eeg	NOUN
aiti-14034	354	29	signals	signal	NOUN
aiti-14034	354	30	,	,	PUNCT
aiti-14034	354	31	”	"	PUNCT
aiti-14034	354	32	computers	computer	NOUN
aiti-14034	354	33	in	in	ADP
aiti-14034	354	34	biology	biology	NOUN
aiti-14034	354	35	and	and	CCONJ
aiti-14034	354	36	medicine	medicine	NOUN
aiti-14034	354	37	,	,	PUNCT
aiti-14034	354	38	vol	vol	NOUN
aiti-14034	354	39	.	.	PROPN
aiti-14034	354	40	100	100	NUM
aiti-14034	354	41	,	,	PUNCT
aiti-14034	354	42	pp	pp	ADJ
aiti-14034	354	43	.	.	PUNCT
aiti-14034	355	1	270	270	NUM
aiti-14034	355	2	-	-	SYM
aiti-14034	355	3	278	278	NUM
aiti-14034	355	4	,	,	PUNCT
aiti-14034	355	5	2018	2018	NUM
aiti-14034	355	6	.	.	PUNCT
aiti-14034	356	1	[	[	X
aiti-14034	356	2	22	22	NUM
aiti-14034	356	3	]	]	X
aiti-14034	356	4	w.	w.	PROPN
aiti-14034	356	5	s.	s.	PROPN
aiti-14034	356	6	admass	admass	PROPN
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aiti-14034	356	8	g.	g.	PROPN
aiti-14034	356	9	a.	a.	NOUN
aiti-14034	356	10	bogale	bogale	NOUN
aiti-14034	356	11	,	,	PUNCT
aiti-14034	356	12	“	"	PUNCT
aiti-14034	356	13	retracted	retract	VERB
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aiti-14034	356	15	arrhythmia	arrhythmia	VERB
aiti-14034	356	16	classification	classification	NOUN
aiti-14034	356	17	using	use	VERB
aiti-14034	356	18	ecg	ecg	PROPN
aiti-14034	356	19	signal	signal	NOUN
aiti-14034	356	20	:	:	PUNCT
aiti-14034	356	21	a	a	DET
aiti-14034	356	22	meta	meta	ADJ
aiti-14034	356	23	-	-	PUNCT
aiti-14034	356	24	heuristic	heuristic	ADJ
aiti-14034	356	25	improvement	improvement	NOUN
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aiti-14034	356	28	weighted	weight	VERB
aiti-14034	356	29	feature	feature	NOUN
aiti-14034	356	30	integration	integration	NOUN
aiti-14034	356	31	and	and	CCONJ
aiti-14034	356	32	attention	attention	NOUN
aiti-14034	356	33	-	-	PUNCT
aiti-14034	356	34	based	base	VERB
aiti-14034	356	35	hybrid	hybrid	ADJ
aiti-14034	356	36	deep	deep	ADJ
aiti-14034	356	37	learning	learning	NOUN
aiti-14034	356	38	model	model	NOUN
aiti-14034	356	39	,	,	PUNCT
aiti-14034	356	40	”	"	PUNCT
aiti-14034	356	41	biomedical	biomedical	ADJ
aiti-14034	356	42	signal	signal	NOUN
aiti-14034	356	43	processing	processing	NOUN
aiti-14034	356	44	and	and	CCONJ
aiti-14034	356	45	control	control	NOUN
aiti-14034	356	46	,	,	PUNCT
aiti-14034	356	47	vol	vol	NOUN
aiti-14034	356	48	.	.	PROPN
aiti-14034	357	1	87	87	NUM
aiti-14034	357	2	,	,	PUNCT
aiti-14034	357	3	no	no	INTJ
aiti-14034	357	4	.	.	PUNCT
aiti-14034	358	1	b	b	X
aiti-14034	358	2	,	,	PUNCT
aiti-14034	358	3	article	article	NOUN
aiti-14034	358	4	no	no	NOUN
aiti-14034	358	5	.	.	PROPN
aiti-14034	358	6	105565	105565	NUM
aiti-14034	358	7	,	,	PUNCT
aiti-14034	358	8	2024	2024	NUM
aiti-14034	358	9	.	.	PUNCT
aiti-14034	359	1	[	[	X
aiti-14034	359	2	23	23	NUM
aiti-14034	359	3	]	]	PUNCT
aiti-14034	359	4	m.	m.	NOUN
aiti-14034	359	5	kachuee	kachuee	PROPN
aiti-14034	359	6	,	,	PUNCT
aiti-14034	359	7	s.	s.	PROPN
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aiti-14034	359	9	,	,	PUNCT
aiti-14034	359	10	and	and	CCONJ
aiti-14034	359	11	m.	m.	NOUN
aiti-14034	359	12	sarrafzadeh	sarrafzadeh	NOUN
aiti-14034	359	13	,	,	PUNCT
aiti-14034	359	14	“	"	PUNCT
aiti-14034	359	15	ecg	ecg	PROPN
aiti-14034	359	16	heartbeat	heartbeat	NOUN
aiti-14034	359	17	classification	classification	NOUN
aiti-14034	359	18	:	:	PUNCT
aiti-14034	359	19	a	a	DET
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aiti-14034	359	21	transferable	transferable	ADJ
aiti-14034	359	22	representation	representation	NOUN
aiti-14034	359	23	,	,	PUNCT
aiti-14034	359	24	”	"	PUNCT
aiti-14034	359	25	proceedings	proceeding	NOUN
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aiti-14034	359	27	ieee	ieee	PROPN
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aiti-14034	359	29	conference	conference	NOUN
aiti-14034	359	30	on	on	ADP
aiti-14034	359	31	healthcare	healthcare	PROPN
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aiti-14034	359	33	,	,	PUNCT
aiti-14034	359	34	pp	pp	ADJ
aiti-14034	359	35	.	.	PUNCT
aiti-14034	360	1	443	443	NUM
aiti-14034	360	2	-	-	SYM
aiti-14034	360	3	444	444	NUM
aiti-14034	360	4	,	,	PUNCT
aiti-14034	360	5	2018	2018	NUM
aiti-14034	360	6	.	.	PUNCT
aiti-14034	361	1	[	[	X
aiti-14034	361	2	24	24	NUM
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aiti-14034	361	4	a.	a.	PROPN
aiti-14034	361	5	h.	h.	PROPN
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aiti-14034	361	8	m.	m.	NOUN
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aiti-14034	361	10	,	,	PUNCT
aiti-14034	361	11	m.	m.	PROPN
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aiti-14034	361	16	a.	a.	PROPN
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aiti-14034	361	21	,	,	PUNCT
aiti-14034	361	22	“	"	PUNCT
aiti-14034	361	23	a	a	DET
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aiti-14034	361	37	”	"	PUNCT
aiti-14034	361	38	biomedical	biomedical	ADJ
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aiti-14034	361	41	and	and	CCONJ
aiti-14034	361	42	control	control	NOUN
aiti-14034	361	43	,	,	PUNCT
aiti-14034	361	44	vol	vol	NOUN
aiti-14034	361	45	.	.	PROPN
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aiti-14034	362	5	.	.	PROPN
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aiti-14034	362	7	,	,	PUNCT
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aiti-14034	362	9	.	.	PUNCT
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aiti-14034	363	2	25	25	NUM
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aiti-14034	363	8	a.	a.	PROPN
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aiti-14034	363	12	a.	a.	PROPN
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aiti-14034	363	19	a.	a.	NOUN
aiti-14034	363	20	a.	a.	PROPN
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aiti-14034	363	23	and	and	CCONJ
aiti-14034	363	24	m.	m.	NOUN
aiti-14034	363	25	valizadeh	valizadeh	PROPN
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aiti-14034	363	27	“	"	PUNCT
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aiti-14034	363	33	eeg	eeg	NOUN
aiti-14034	363	34	signals	signal	NOUN
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aiti-14034	363	39	learning	learning	NOUN
aiti-14034	363	40	techniques	technique	NOUN
aiti-14034	363	41	,	,	PUNCT
aiti-14034	363	42	”	"	PUNCT
aiti-14034	363	43	chaos	chaos	NOUN
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aiti-14034	363	47	fractals	fractal	NOUN
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aiti-14034	363	49	vol	vol	NOUN
aiti-14034	363	50	.	.	PROPN
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aiti-14034	363	52	,	,	PUNCT
aiti-14034	363	53	article	article	NOUN
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aiti-14034	363	55	.	.	PROPN
aiti-14034	363	56	114700	114700	NUM
aiti-14034	363	57	,	,	PUNCT
aiti-14034	363	58	2024	2024	NUM
aiti-14034	363	59	.	.	PUNCT
aiti-14034	364	1	[	[	X
aiti-14034	364	2	26	26	NUM
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aiti-14034	364	4	a.	a.	PROPN
aiti-14034	364	5	h.	h.	PROPN
aiti-14034	364	6	abdulaal	abdulaal	PROPN
aiti-14034	364	7	,	,	PUNCT
aiti-14034	364	8	m.	m.	NOUN
aiti-14034	364	9	valizadeh	valizadeh	PROPN
aiti-14034	364	10	,	,	PUNCT
aiti-14034	364	11	b.	b.	PROPN
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aiti-14034	364	19	m.	m.	PROPN
aiti-14034	364	20	c.	c.	PROPN
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aiti-14034	364	22	,	,	PUNCT
aiti-14034	364	23	and	and	CCONJ
aiti-14034	364	24	a.	a.	PROPN
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aiti-14034	364	28	shah	shah	PROPN
aiti-14034	364	29	,	,	PUNCT
aiti-14034	364	30	“	"	PUNCT
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aiti-14034	364	32	breast	breast	NOUN
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aiti-14034	364	34	classification	classification	NOUN
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aiti-14034	364	38	googlenet	googlenet	NOUN
aiti-14034	364	39	architecture	architecture	NOUN
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aiti-14034	364	41	attention	attention	NOUN
aiti-14034	364	42	mechanism	mechanism	NOUN
aiti-14034	364	43	,	,	PUNCT
aiti-14034	364	44	”	"	PUNCT
aiti-14034	364	45	al	al	PROPN
aiti-14034	364	46	-	-	PUNCT
aiti-14034	364	47	iraqia	iraqia	PROPN
aiti-14034	364	48	journal	journal	NOUN
aiti-14034	364	49	of	of	ADP
aiti-14034	364	50	scientific	scientific	ADJ
aiti-14034	364	51	engineering	engineering	NOUN
aiti-14034	364	52	research	research	NOUN
aiti-14034	364	53	,	,	PUNCT
aiti-14034	364	54	vol	vol	NOUN
aiti-14034	364	55	.	.	PROPN
aiti-14034	365	1	3	3	NUM
aiti-14034	365	2	,	,	PUNCT
aiti-14034	365	3	no	no	INTJ
aiti-14034	365	4	.	.	NOUN
aiti-14034	365	5	1	1	NUM
aiti-14034	365	6	,	,	PUNCT
aiti-14034	365	7	pp	pp	ADJ
aiti-14034	365	8	.	.	PUNCT
aiti-14034	366	1	47	47	NUM
aiti-14034	366	2	-	-	SYM
aiti-14034	366	3	63	63	NUM
aiti-14034	366	4	,	,	PUNCT
aiti-14034	366	5	2024	2024	NUM
aiti-14034	366	6	.	.	PUNCT
aiti-14034	367	1	[	[	X
aiti-14034	367	2	27	27	NUM
aiti-14034	367	3	]	]	X
aiti-14034	367	4	f.	f.	PROPN
aiti-14034	367	5	a.	a.	PROPN
aiti-14034	367	6	elhaj	elhaj	PROPN
aiti-14034	367	7	,	,	PUNCT
aiti-14034	367	8	n.	n.	PROPN
aiti-14034	367	9	salim	salim	PROPN
aiti-14034	367	10	,	,	PUNCT
aiti-14034	367	11	a.	a.	PROPN
aiti-14034	367	12	r.	r.	PROPN
aiti-14034	367	13	harris	harris	PROPN
aiti-14034	367	14	,	,	PUNCT
aiti-14034	367	15	t.	t.	PROPN
aiti-14034	367	16	t.	t.	PROPN
aiti-14034	367	17	swee	swee	PROPN
aiti-14034	367	18	,	,	PUNCT
aiti-14034	367	19	and	and	CCONJ
aiti-14034	367	20	t.	t.	PROPN
aiti-14034	367	21	ahmed	ahmed	PROPN
aiti-14034	367	22	,	,	PUNCT
aiti-14034	367	23	“	"	PUNCT
aiti-14034	367	24	arrhythmia	arrhythmia	NOUN
aiti-14034	367	25	recognition	recognition	NOUN
aiti-14034	367	26	and	and	CCONJ
aiti-14034	367	27	classification	classification	NOUN
aiti-14034	367	28	using	use	VERB
aiti-14034	367	29	combined	combine	VERB
aiti-14034	367	30	linear	linear	ADJ
aiti-14034	367	31	and	and	CCONJ
aiti-14034	367	32	nonlinear	nonlinear	ADJ
aiti-14034	367	33	features	feature	NOUN
aiti-14034	367	34	of	of	ADP
aiti-14034	367	35	ecg	ecg	PROPN
aiti-14034	367	36	signals	signal	NOUN
aiti-14034	367	37	,	,	PUNCT
aiti-14034	367	38	”	"	PUNCT
aiti-14034	367	39	computer	computer	NOUN
aiti-14034	367	40	methods	method	NOUN
aiti-14034	367	41	and	and	CCONJ
aiti-14034	367	42	programs	program	NOUN
aiti-14034	367	43	in	in	ADP
aiti-14034	367	44	biomedicine	biomedicine	NOUN
aiti-14034	367	45	,	,	PUNCT
aiti-14034	367	46	vol	vol	NOUN
aiti-14034	367	47	.	.	PUNCT
aiti-14034	368	1	127	127	NUM
aiti-14034	368	2	,	,	PUNCT
aiti-14034	368	3	pp	pp	ADJ
aiti-14034	368	4	.	.	PUNCT
aiti-14034	369	1	52	52	NUM
aiti-14034	369	2	-	-	SYM
aiti-14034	369	3	63	63	NUM
aiti-14034	369	4	,	,	PUNCT
aiti-14034	369	5	2016	2016	NUM
aiti-14034	369	6	.	.	PUNCT
aiti-14034	370	1	[	[	X
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aiti-14034	370	3	]	]	X
aiti-14034	370	4	s.	s.	PROPN
aiti-14034	370	5	sahoo	sahoo	PROPN
aiti-14034	370	6	,	,	PUNCT
aiti-14034	370	7	b.	b.	PROPN
aiti-14034	370	8	kanungo	kanungo	PROPN
aiti-14034	370	9	,	,	PUNCT
aiti-14034	370	10	s.	s.	PROPN
aiti-14034	370	11	behera	behera	PROPN
aiti-14034	370	12	,	,	PUNCT
aiti-14034	370	13	and	and	CCONJ
aiti-14034	370	14	s.	s.	PROPN
aiti-14034	370	15	sabut	sabut	PROPN
aiti-14034	370	16	,	,	PUNCT
aiti-14034	370	17	“	"	PUNCT
aiti-14034	370	18	multiresolution	multiresolution	NOUN
aiti-14034	370	19	wavelet	wavelet	NOUN
aiti-14034	370	20	transform	transform	NOUN
aiti-14034	370	21	based	base	VERB
aiti-14034	370	22	feature	feature	NOUN
aiti-14034	370	23	extraction	extraction	NOUN
aiti-14034	370	24	and	and	CCONJ
aiti-14034	370	25	ecg	ecg	PROPN
aiti-14034	370	26	classification	classification	NOUN
aiti-14034	370	27	to	to	PART
aiti-14034	370	28	detect	detect	VERB
aiti-14034	370	29	cardiac	cardiac	ADJ
aiti-14034	370	30	abnormalities	abnormality	NOUN
aiti-14034	370	31	,	,	PUNCT
aiti-14034	370	32	”	"	PUNCT
aiti-14034	370	33	measurement	measurement	NOUN
aiti-14034	370	34	,	,	PUNCT
aiti-14034	370	35	vol	vol	NOUN
aiti-14034	370	36	.	.	PROPN
aiti-14034	370	37	108	108	NUM
aiti-14034	370	38	,	,	PUNCT
aiti-14034	370	39	pp	pp	ADJ
aiti-14034	370	40	.	.	PUNCT
aiti-14034	371	1	55	55	NUM
aiti-14034	371	2	-	-	SYM
aiti-14034	371	3	66	66	NUM
aiti-14034	371	4	,	,	PUNCT
aiti-14034	371	5	2017	2017	NUM
aiti-14034	371	6	.	.	PUNCT
aiti-14034	372	1	[	[	X
aiti-14034	372	2	29	29	NUM
aiti-14034	372	3	]	]	PUNCT
aiti-14034	372	4	s.	s.	PROPN
aiti-14034	372	5	k.	k.	PROPN
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aiti-14034	372	7	and	and	CCONJ
aiti-14034	372	8	r.	r.	PROPN
aiti-14034	372	9	r.	r.	PROPN
aiti-14034	372	10	janghel	janghel	PROPN
aiti-14034	372	11	,	,	PUNCT
aiti-14034	372	12	“	"	PUNCT
aiti-14034	372	13	automatic	automatic	ADJ
aiti-14034	372	14	arrhythmia	arrhythmia	NOUN
aiti-14034	372	15	recognition	recognition	NOUN
aiti-14034	372	16	from	from	ADP
aiti-14034	372	17	electrocardiogram	electrocardiogram	NOUN
aiti-14034	372	18	signals	signal	NOUN
aiti-14034	372	19	using	use	VERB
aiti-14034	372	20	different	different	ADJ
aiti-14034	372	21	feature	feature	NOUN
aiti-14034	372	22	methods	method	NOUN
aiti-14034	372	23	with	with	ADP
aiti-14034	372	24	long	long	ADJ
aiti-14034	372	25	short	short	ADJ
aiti-14034	372	26	-	-	PUNCT
aiti-14034	372	27	term	term	NOUN
aiti-14034	372	28	memory	memory	NOUN
aiti-14034	372	29	network	network	NOUN
aiti-14034	372	30	model	model	NOUN
aiti-14034	372	31	,	,	PUNCT
aiti-14034	372	32	”	"	PUNCT
aiti-14034	372	33	signal	signal	NOUN
aiti-14034	372	34	,	,	PUNCT
aiti-14034	372	35	image	image	NOUN
aiti-14034	372	36	and	and	CCONJ
aiti-14034	372	37	video	video	NOUN
aiti-14034	372	38	processing	processing	NOUN
aiti-14034	372	39	,	,	PUNCT
aiti-14034	372	40	vol	vol	NOUN
aiti-14034	372	41	.	.	PROPN
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aiti-14034	372	43	,	,	PUNCT
aiti-14034	372	44	pp	pp	ADJ
aiti-14034	372	45	.	.	PUNCT
aiti-14034	373	1	1255	1255	NUM
aiti-14034	373	2	-	-	SYM
aiti-14034	373	3	1263	1263	NUM
aiti-14034	373	4	,	,	PUNCT
aiti-14034	373	5	2020	2020	NUM
aiti-14034	373	6	.	.	PUNCT
aiti-14034	374	1	advances	advance	NOUN
aiti-14034	374	2	in	in	ADP
aiti-14034	374	3	technology	technology	NOUN
aiti-14034	374	4	innovation	innovation	NOUN
aiti-14034	374	5	,	,	PUNCT
aiti-14034	374	6	vol	vol	NOUN
aiti-14034	374	7	.	.	PROPN
aiti-14034	375	1	10	10	NUM
aiti-14034	375	2	,	,	PUNCT
aiti-14034	375	3	no	no	INTJ
aiti-14034	375	4	.	.	NOUN
aiti-14034	375	5	2	2	NUM
aiti-14034	375	6	,	,	PUNCT
aiti-14034	375	7	2025	2025	NUM
aiti-14034	375	8	,	,	PUNCT
aiti-14034	375	9	pp	pp	ADJ
aiti-14034	375	10	.	.	PUNCT
aiti-14034	376	1	102	102	NUM
aiti-14034	376	2	-	-	SYM
aiti-14034	376	3	117	117	NUM
aiti-14034	376	4	117	117	NUM
aiti-14034	376	5	[	[	X
aiti-14034	376	6	30	30	NUM
aiti-14034	376	7	]	]	X
aiti-14034	376	8	y.	y.	PROPN
aiti-14034	376	9	d.	d.	PROPN
aiti-14034	376	10	daydulo	daydulo	PROPN
aiti-14034	376	11	,	,	PUNCT
aiti-14034	376	12	b.	b.	PROPN
aiti-14034	376	13	l.	l.	PROPN
aiti-14034	376	14	thamineni	thamineni	PROPN
aiti-14034	376	15	,	,	PUNCT
aiti-14034	376	16	and	and	CCONJ
aiti-14034	376	17	a.	a.	NOUN
aiti-14034	376	18	a.	a.	PROPN
aiti-14034	376	19	dawud	dawud	PROPN
aiti-14034	376	20	,	,	PUNCT
aiti-14034	376	21	“	"	PUNCT
aiti-14034	376	22	cardiac	cardiac	ADJ
aiti-14034	376	23	arrhythmia	arrhythmia	NOUN
aiti-14034	376	24	detection	detection	NOUN
aiti-14034	376	25	using	use	VERB
aiti-14034	376	26	deep	deep	ADJ
aiti-14034	376	27	learning	learning	NOUN
aiti-14034	376	28	approach	approach	NOUN
aiti-14034	376	29	and	and	CCONJ
aiti-14034	376	30	time	time	NOUN
aiti-14034	376	31	frequency	frequency	NOUN
aiti-14034	376	32	representation	representation	NOUN
aiti-14034	376	33	of	of	ADP
aiti-14034	376	34	ecg	ecg	PROPN
aiti-14034	376	35	signals	signal	NOUN
aiti-14034	376	36	,	,	PUNCT
aiti-14034	376	37	”	"	PUNCT
aiti-14034	376	38	bmc	bmc	PROPN
aiti-14034	376	39	medical	medical	ADJ
aiti-14034	376	40	informatics	informatic	NOUN
aiti-14034	376	41	and	and	CCONJ
aiti-14034	376	42	decision	decision	NOUN
aiti-14034	376	43	making	making	NOUN
aiti-14034	376	44	,	,	PUNCT
aiti-14034	376	45	vol	vol	NOUN
aiti-14034	376	46	.	.	PROPN
aiti-14034	376	47	23	23	NUM
aiti-14034	376	48	,	,	PUNCT
aiti-14034	376	49	article	article	NOUN
aiti-14034	376	50	no	no	NOUN
aiti-14034	376	51	.	.	PROPN
aiti-14034	376	52	232	232	NUM
aiti-14034	376	53	,	,	PUNCT
aiti-14034	376	54	2023	2023	NUM
aiti-14034	376	55	.	.	PUNCT
aiti-14034	377	1	copyright	copyright	NOUN
aiti-14034	377	2	©	©	PROPN
aiti-14034	377	3	by	by	ADP
aiti-14034	377	4	the	the	DET
aiti-14034	377	5	authors	author	NOUN
aiti-14034	377	6	.	.	PUNCT
aiti-14034	378	1	licensee	licensee	PROPN
aiti-14034	378	2	taeti	taeti	PROPN
aiti-14034	378	3	,	,	PUNCT
aiti-14034	378	4	taiwan	taiwan	PROPN
aiti-14034	378	5	.	.	PUNCT
aiti-14034	379	1	this	this	DET
aiti-14034	379	2	article	article	NOUN
aiti-14034	379	3	is	be	AUX
aiti-14034	379	4	an	an	DET
aiti-14034	379	5	open	open	ADJ
aiti-14034	379	6	access	access	NOUN
aiti-14034	379	7	article	article	NOUN
aiti-14034	379	8	distributed	distribute	VERB
aiti-14034	379	9	under	under	ADP
aiti-14034	379	10	the	the	DET
aiti-14034	379	11	terms	term	NOUN
aiti-14034	379	12	and	and	CCONJ
aiti-14034	379	13	conditions	condition	NOUN
aiti-14034	379	14	of	of	ADP
aiti-14034	379	15	the	the	DET
aiti-14034	379	16	creative	creative	ADJ
aiti-14034	379	17	commons	common	NOUN
aiti-14034	379	18	attribution	attribution	NOUN
aiti-14034	379	19	(	(	PUNCT
aiti-14034	379	20	cc	cc	NOUN
aiti-14034	379	21	by	by	ADP
aiti-14034	379	22	-	-	PUNCT
aiti-14034	379	23	nc	nc	NOUN
aiti-14034	379	24	)	)	PUNCT
aiti-14034	379	25	license	license	NOUN
aiti-14034	379	26	(	(	PUNCT
aiti-14034	379	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-14034	379	28	)	)	PUNCT
aiti-14034	379	29	.	.	PUNCT