id	sid	tid	token	lemma	pos
cana-550	1	1	communications	communication	NOUN
cana-550	1	2	on	on	ADP
cana-550	1	3	applied	apply	VERB
cana-550	1	4	nonlinear	nonlinear	ADJ
cana-550	1	5	analysis	analysis	NOUN
cana-550	1	6	issn	issn	NOUN
cana-550	1	7	:	:	PUNCT
cana-550	1	8	1074	1074	NUM
cana-550	1	9	-	-	PUNCT
cana-550	1	10	133x	133x	NUM
cana-550	1	11	vol	vol	NOUN
cana-550	1	12	31	31	NUM
cana-550	1	13	no	no	NOUN
cana-550	1	14	.	.	NOUN
cana-550	1	15	2	2	NUM
cana-550	1	16	(	(	PUNCT
cana-550	1	17	2024	2024	NUM
cana-550	1	18	)	)	PUNCT
cana-550	1	19	270	270	NUM
cana-550	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	1	21	an	an	DET
cana-550	1	22	analytics	analytic	NOUN
cana-550	1	23	of	of	ADP
cana-550	1	24	sleep	sleep	NOUN
cana-550	1	25	apnea	apnea	VERB
cana-550	1	26	classification	classification	NOUN
cana-550	1	27	using	use	VERB
cana-550	1	28	caswideresnet	caswideresnet	NOUN
cana-550	1	29	algorithm	algorithm	NOUN
cana-550	1	30	*	*	PUNCT
cana-550	1	31	n.	n.	PROPN
cana-550	1	32	juber	juber	PROPN
cana-550	1	33	rahman1[0000	rahman1[0000	PROPN
cana-550	1	34	-	-	PUNCT
cana-550	1	35	0002	0002	NUM
cana-550	1	36	-	-	PUNCT
cana-550	1	37	8027	8027	NUM
cana-550	1	38	-	-	SYM
cana-550	1	39	7186	7186	NUM
cana-550	1	40	]	]	PUNCT
cana-550	1	41	and	and	CCONJ
cana-550	2	1	p.	p.	PROPN
cana-550	2	2	nithya2[0000	nithya2[0000	PROPN
cana-550	2	3	-	-	PUNCT
cana-550	2	4	0003	0003	NUM
cana-550	2	5	-	-	PUNCT
cana-550	2	6	2480	2480	NUM
cana-550	2	7	-	-	PUNCT
cana-550	2	8	4006	4006	NUM
cana-550	2	9	]	]	PUNCT
cana-550	2	10	1	1	NUM
cana-550	2	11	research	research	NOUN
cana-550	2	12	scholar	scholar	NOUN
cana-550	2	13	,	,	PUNCT
cana-550	2	14	computer	computer	NOUN
cana-550	2	15	science	science	NOUN
cana-550	2	16	,	,	PUNCT
cana-550	2	17	psg	psg	PROPN
cana-550	2	18	college	college	PROPN
cana-550	2	19	of	of	ADP
cana-550	2	20	arts	arts	PROPN
cana-550	2	21	&	&	CCONJ
cana-550	2	22	science	science	PROPN
cana-550	2	23	,	,	PUNCT
cana-550	2	24	coimbatore	coimbatore	NOUN
cana-550	2	25	jubijbr@gmail.com	jubijbr@gmail.com	NOUN
cana-550	2	26	2	2	NUM
cana-550	2	27	head	head	NOUN
cana-550	2	28	&	&	CCONJ
cana-550	2	29	associate	associate	PROPN
cana-550	2	30	professor	professor	NOUN
cana-550	2	31	,	,	PUNCT
cana-550	2	32	networking	networking	NOUN
cana-550	2	33	and	and	CCONJ
cana-550	2	34	mobile	mobile	ADJ
cana-550	2	35	application	application	NOUN
cana-550	2	36	,	,	PUNCT
cana-550	2	37	psg	psg	PROPN
cana-550	2	38	college	college	PROPN
cana-550	2	39	of	of	ADP
cana-550	2	40	arts	arts	PROPN
cana-550	2	41	&	&	CCONJ
cana-550	2	42	science	science	PROPN
cana-550	2	43	,	,	PUNCT
cana-550	2	44	coimbatore	coimbatore	PROPN
cana-550	2	45	nithi.selva@gmail.com	nithi.selva@gmail.com	NOUN
cana-550	2	46	article	article	NOUN
cana-550	2	47	history	history	NOUN
cana-550	2	48	:	:	PUNCT
cana-550	2	49	received	receive	VERB
cana-550	2	50	:	:	PUNCT
cana-550	2	51	05	05	NUM
cana-550	2	52	-	-	PUNCT
cana-550	2	53	02	02	NUM
cana-550	2	54	-	-	PUNCT
cana-550	2	55	2024	2024	NUM
cana-550	2	56	revised	revise	VERB
cana-550	2	57	:	:	PUNCT
cana-550	2	58	22	22	NUM
cana-550	2	59	-	-	PUNCT
cana-550	2	60	04	04	NUM
cana-550	2	61	-	-	PUNCT
cana-550	2	62	2024	2024	NUM
cana-550	2	63	accepted	accept	VERB
cana-550	2	64	:	:	PUNCT
cana-550	2	65	02	02	NUM
cana-550	2	66	-	-	PUNCT
cana-550	2	67	05	05	NUM
cana-550	2	68	-	-	PUNCT
cana-550	2	69	2024	2024	NUM
cana-550	2	70	abstract	abstract	NOUN
cana-550	2	71	:	:	PUNCT
cana-550	2	72	sleep	sleep	NOUN
cana-550	2	73	apnea	apnea	NOUN
cana-550	2	74	is	be	AUX
cana-550	2	75	a	a	DET
cana-550	2	76	common	common	ADJ
cana-550	2	77	yet	yet	CCONJ
cana-550	2	78	serious	serious	ADJ
cana-550	2	79	sleep	sleep	NOUN
cana-550	2	80	disorder	disorder	NOUN
cana-550	2	81	that	that	PRON
cana-550	2	82	affects	affect	VERB
cana-550	2	83	millions	million	NOUN
cana-550	2	84	of	of	ADP
cana-550	2	85	individuals	individual	NOUN
cana-550	2	86	worldwide	worldwide	ADV
cana-550	2	87	.	.	PUNCT
cana-550	3	1	timely	timely	ADJ
cana-550	3	2	and	and	CCONJ
cana-550	3	3	accurate	accurate	ADJ
cana-550	3	4	detection	detection	NOUN
cana-550	3	5	of	of	ADP
cana-550	3	6	sleep	sleep	NOUN
cana-550	3	7	apnea	apnea	NOUN
cana-550	3	8	can	can	AUX
cana-550	3	9	significantly	significantly	ADV
cana-550	3	10	improve	improve	VERB
cana-550	3	11	patient	patient	ADJ
cana-550	3	12	outcomes	outcome	NOUN
cana-550	3	13	and	and	CCONJ
cana-550	3	14	quality	quality	NOUN
cana-550	3	15	of	of	ADP
cana-550	3	16	life	life	NOUN
cana-550	3	17	.	.	PUNCT
cana-550	4	1	in	in	ADP
cana-550	4	2	this	this	DET
cana-550	4	3	study	study	NOUN
cana-550	4	4	,	,	PUNCT
cana-550	4	5	we	we	PRON
cana-550	4	6	propose	propose	VERB
cana-550	4	7	an	an	DET
cana-550	4	8	advanced	advanced	ADJ
cana-550	4	9	approach	approach	NOUN
cana-550	4	10	for	for	ADP
cana-550	4	11	sleep	sleep	NOUN
cana-550	4	12	apnea	apnea	VERB
cana-550	4	13	classification	classification	NOUN
cana-550	4	14	and	and	CCONJ
cana-550	4	15	prediction	prediction	NOUN
cana-550	4	16	using	use	VERB
cana-550	4	17	the	the	DET
cana-550	4	18	caswideresnet	caswideresnet	NOUN
cana-550	4	19	algorithm	algorithm	NOUN
cana-550	4	20	.	.	PUNCT
cana-550	5	1	our	our	PRON
cana-550	5	2	methodology	methodology	NOUN
cana-550	5	3	includes	include	VERB
cana-550	5	4	preprocessing	preprocesse	VERB
cana-550	5	5	steps	step	NOUN
cana-550	5	6	such	such	ADJ
cana-550	5	7	as	as	ADP
cana-550	5	8	z	z	NOUN
cana-550	5	9	-	-	PUNCT
cana-550	5	10	score	score	NOUN
cana-550	5	11	normalization	normalization	NOUN
cana-550	5	12	to	to	PART
cana-550	5	13	standardize	standardize	VERB
cana-550	5	14	the	the	DET
cana-550	5	15	data	datum	NOUN
cana-550	5	16	and	and	CCONJ
cana-550	5	17	improve	improve	VERB
cana-550	5	18	algorithm	algorithm	NOUN
cana-550	5	19	performance	performance	NOUN
cana-550	5	20	.	.	PUNCT
cana-550	6	1	additionally	additionally	ADV
cana-550	6	2	,	,	PUNCT
cana-550	6	3	we	we	PRON
cana-550	6	4	employ	employ	VERB
cana-550	6	5	an	an	DET
cana-550	6	6	improved	improved	ADJ
cana-550	6	7	pan	pan	ADJ
cana-550	6	8	-	-	ADJ
cana-550	6	9	tompkins	tompkin	NOUN
cana-550	6	10	algorithm	algorithm	NOUN
cana-550	6	11	for	for	ADP
cana-550	6	12	feature	feature	NOUN
cana-550	6	13	selection	selection	NOUN
cana-550	6	14	,	,	PUNCT
cana-550	6	15	which	which	PRON
cana-550	6	16	helps	help	VERB
cana-550	6	17	in	in	ADP
cana-550	6	18	identifying	identify	VERB
cana-550	6	19	relevant	relevant	ADJ
cana-550	6	20	features	feature	NOUN
cana-550	6	21	from	from	ADP
cana-550	6	22	physiological	physiological	ADJ
cana-550	6	23	signals	signal	NOUN
cana-550	6	24	such	such	ADJ
cana-550	6	25	as	as	ADP
cana-550	6	26	electrocardiogram	electrocardiogram	NOUN
cana-550	6	27	(	(	PUNCT
cana-550	6	28	ecg	ecg	PROPN
cana-550	6	29	)	)	PUNCT
cana-550	6	30	and	and	CCONJ
cana-550	6	31	oxygen	oxygen	NOUN
cana-550	6	32	saturation	saturation	NOUN
cana-550	6	33	(	(	PUNCT
cana-550	6	34	spo2	spo2	PROPN
cana-550	6	35	)	)	PUNCT
cana-550	6	36	data	datum	NOUN
cana-550	6	37	.	.	PUNCT
cana-550	7	1	the	the	DET
cana-550	7	2	caswideresnet	caswideresnet	NOUN
cana-550	7	3	algorithm	algorithm	NOUN
cana-550	7	4	,	,	PUNCT
cana-550	7	5	known	know	VERB
cana-550	7	6	for	for	ADP
cana-550	7	7	its	its	PRON
cana-550	7	8	deep	deep	ADJ
cana-550	7	9	learning	learning	NOUN
cana-550	7	10	capabilities	capability	NOUN
cana-550	7	11	,	,	PUNCT
cana-550	7	12	is	be	AUX
cana-550	7	13	utilized	utilize	VERB
cana-550	7	14	for	for	ADP
cana-550	7	15	the	the	DET
cana-550	7	16	classification	classification	NOUN
cana-550	7	17	and	and	CCONJ
cana-550	7	18	prediction	prediction	NOUN
cana-550	7	19	tasks	task	NOUN
cana-550	7	20	.	.	PUNCT
cana-550	8	1	this	this	DET
cana-550	8	2	algorithm	algorithm	NOUN
cana-550	8	3	leverages	leverage	VERB
cana-550	8	4	the	the	DET
cana-550	8	5	power	power	NOUN
cana-550	8	6	of	of	ADP
cana-550	8	7	deep	deep	ADJ
cana-550	8	8	convolutional	convolutional	ADJ
cana-550	8	9	neural	neural	ADJ
cana-550	8	10	networks	network	NOUN
cana-550	8	11	(	(	PUNCT
cana-550	8	12	cnns	cnns	PROPN
cana-550	8	13	)	)	PUNCT
cana-550	8	14	to	to	PART
cana-550	8	15	automatically	automatically	ADV
cana-550	8	16	learn	learn	VERB
cana-550	8	17	discriminative	discriminative	NOUN
cana-550	8	18	features	feature	NOUN
cana-550	8	19	from	from	ADP
cana-550	8	20	the	the	DET
cana-550	8	21	input	input	NOUN
cana-550	8	22	data	datum	NOUN
cana-550	8	23	and	and	CCONJ
cana-550	8	24	make	make	VERB
cana-550	8	25	accurate	accurate	ADJ
cana-550	8	26	predictions	prediction	NOUN
cana-550	8	27	.	.	PUNCT
cana-550	9	1	by	by	ADP
cana-550	9	2	integrating	integrate	VERB
cana-550	9	3	z	z	NOUN
cana-550	9	4	-	-	PUNCT
cana-550	9	5	score	score	NOUN
cana-550	9	6	normalization	normalization	NOUN
cana-550	9	7	,	,	PUNCT
cana-550	9	8	improved	improve	VERB
cana-550	9	9	feature	feature	NOUN
cana-550	9	10	selection	selection	NOUN
cana-550	9	11	,	,	PUNCT
cana-550	9	12	and	and	CCONJ
cana-550	9	13	the	the	DET
cana-550	9	14	caswideresnet	caswideresnet	NOUN
cana-550	9	15	algorithm	algorithm	NOUN
cana-550	9	16	,	,	PUNCT
cana-550	9	17	our	our	PRON
cana-550	9	18	proposed	propose	VERB
cana-550	9	19	system	system	NOUN
cana-550	9	20	aims	aim	VERB
cana-550	9	21	to	to	PART
cana-550	9	22	achieve	achieve	VERB
cana-550	9	23	high	high	ADJ
cana-550	9	24	accuracy	accuracy	NOUN
cana-550	9	25	in	in	ADP
cana-550	9	26	detecting	detect	VERB
cana-550	9	27	and	and	CCONJ
cana-550	9	28	predicting	predict	VERB
cana-550	9	29	sleep	sleep	NOUN
cana-550	9	30	apnea	apnea	NOUN
cana-550	9	31	episodes	episode	NOUN
cana-550	9	32	.	.	PUNCT
cana-550	10	1	we	we	PRON
cana-550	10	2	evaluate	evaluate	VERB
cana-550	10	3	the	the	DET
cana-550	10	4	performance	performance	NOUN
cana-550	10	5	of	of	ADP
cana-550	10	6	our	our	PRON
cana-550	10	7	approach	approach	NOUN
cana-550	10	8	using	use	VERB
cana-550	10	9	a	a	DET
cana-550	10	10	comprehensive	comprehensive	ADJ
cana-550	10	11	dataset	dataset	NOUN
cana-550	10	12	containing	contain	VERB
cana-550	10	13	a	a	DET
cana-550	10	14	diverse	diverse	ADJ
cana-550	10	15	range	range	NOUN
cana-550	10	16	of	of	ADP
cana-550	10	17	sleep	sleep	NOUN
cana-550	10	18	apnea	apnea	NOUN
cana-550	10	19	cases	case	NOUN
cana-550	10	20	.	.	PUNCT
cana-550	11	1	our	our	PRON
cana-550	11	2	results	result	NOUN
cana-550	11	3	demonstrate	demonstrate	VERB
cana-550	11	4	the	the	DET
cana-550	11	5	effectiveness	effectiveness	NOUN
cana-550	11	6	of	of	ADP
cana-550	11	7	z	z	NOUN
cana-550	11	8	-	-	PUNCT
cana-550	11	9	score	score	NOUN
cana-550	11	10	normalization	normalization	NOUN
cana-550	11	11	in	in	ADP
cana-550	11	12	improving	improve	VERB
cana-550	11	13	data	datum	NOUN
cana-550	11	14	quality	quality	NOUN
cana-550	11	15	and	and	CCONJ
cana-550	11	16	the	the	DET
cana-550	11	17	role	role	NOUN
cana-550	11	18	of	of	ADP
cana-550	11	19	the	the	DET
cana-550	11	20	improved	improve	VERB
cana-550	11	21	pantompkins	pantompkin	NOUN
cana-550	11	22	algorithm	algorithm	NOUN
cana-550	11	23	in	in	ADP
cana-550	11	24	selecting	select	VERB
cana-550	11	25	informative	informative	ADJ
cana-550	11	26	features	feature	NOUN
cana-550	11	27	.	.	PUNCT
cana-550	12	1	keywords	keyword	NOUN
cana-550	12	2	:	:	PUNCT
cana-550	12	3	caswideresnet	caswideresnet	NOUN
cana-550	12	4	,	,	PUNCT
cana-550	12	5	classification	classification	NOUN
cana-550	12	6	,	,	PUNCT
cana-550	12	7	deep	deep	ADJ
cana-550	12	8	learning	learning	NOUN
cana-550	12	9	,	,	PUNCT
cana-550	12	10	prediction	prediction	NOUN
cana-550	12	11	,	,	PUNCT
cana-550	12	12	sleep	sleep	VERB
cana-550	12	13	apnea	apnea	NOUN
cana-550	12	14	.	.	PUNCT
cana-550	13	1	i.	i.	PROPN
cana-550	13	2	introduction	introduction	NOUN
cana-550	13	3	disruptions	disruption	NOUN
cana-550	13	4	to	to	ADP
cana-550	13	5	the	the	DET
cana-550	13	6	sleep	sleep	NOUN
cana-550	13	7	cycle	cycle	NOUN
cana-550	13	8	have	have	VERB
cana-550	13	9	a	a	DET
cana-550	13	10	significant	significant	ADJ
cana-550	13	11	impact	impact	NOUN
cana-550	13	12	on	on	ADP
cana-550	13	13	people	people	NOUN
cana-550	13	14	's	's	PART
cana-550	13	15	well	well	ADV
cana-550	13	16	-	-	PUNCT
cana-550	13	17	being	being	NOUN
cana-550	13	18	and	and	CCONJ
cana-550	13	19	health	health	NOUN
cana-550	13	20	.	.	PUNCT
cana-550	14	1	one	one	NUM
cana-550	14	2	of	of	ADP
cana-550	14	3	the	the	DET
cana-550	14	4	most	most	ADV
cana-550	14	5	common	common	ADJ
cana-550	14	6	sleep	sleep	NOUN
cana-550	14	7	disorders	disorder	NOUN
cana-550	14	8	is	be	AUX
cana-550	14	9	obstructive	obstructive	ADJ
cana-550	14	10	sleep	sleep	NOUN
cana-550	14	11	apnea	apnea	NOUN
cana-550	14	12	(	(	PUNCT
cana-550	14	13	osa	osa	ADJ
cana-550	14	14	)	)	PUNCT
cana-550	14	15	,	,	PUNCT
cana-550	14	16	which	which	PRON
cana-550	14	17	happens	happen	VERB
cana-550	14	18	repeatedly	repeatedly	ADV
cana-550	14	19	while	while	SCONJ
cana-550	14	20	sleep	sleep	NOUN
cana-550	14	21	[	[	X
cana-550	14	22	1	1	NUM
cana-550	14	23	]	]	PUNCT
cana-550	14	24	.	.	PUNCT
cana-550	15	1	the	the	DET
cana-550	15	2	blockage	blockage	NOUN
cana-550	15	3	of	of	ADP
cana-550	15	4	the	the	DET
cana-550	15	5	upper	upper	ADJ
cana-550	15	6	airway	airway	NOUN
cana-550	15	7	causes	cause	VERB
cana-550	15	8	a	a	DET
cana-550	15	9	ten	ten	NUM
cana-550	15	10	-	-	PUNCT
cana-550	15	11	second	second	NOUN
cana-550	15	12	pause	pause	NOUN
cana-550	15	13	in	in	ADP
cana-550	15	14	breathing	breathe	VERB
cana-550	15	15	in	in	ADP
cana-550	15	16	patients	patient	NOUN
cana-550	15	17	with	with	ADP
cana-550	15	18	osa	osa	PROPN
cana-550	15	19	.	.	PUNCT
cana-550	16	1	the	the	DET
cana-550	16	2	person	person	NOUN
cana-550	16	3	gets	get	VERB
cana-550	16	4	up	up	ADP
cana-550	16	5	and	and	CCONJ
cana-550	16	6	keeps	keep	VERB
cana-550	16	7	breathing	breathing	NOUN
cana-550	16	8	since	since	SCONJ
cana-550	16	9	their	their	PRON
cana-550	16	10	oxygen	oxygen	NOUN
cana-550	16	11	saturation	saturation	NOUN
cana-550	16	12	drops	drop	VERB
cana-550	16	13	when	when	SCONJ
cana-550	16	14	they	they	PRON
cana-550	16	15	stop	stop	VERB
cana-550	16	16	breathing	breathe	VERB
cana-550	16	17	[	[	X
cana-550	16	18	2	2	NUM
cana-550	16	19	]	]	PUNCT
cana-550	16	20	.	.	PUNCT
cana-550	17	1	the	the	DET
cana-550	17	2	severity	severity	NOUN
cana-550	17	3	of	of	ADP
cana-550	17	4	sleep	sleep	NOUN
cana-550	17	5	apnea	apnea	NOUN
cana-550	17	6	syndrome	syndrome	NOUN
cana-550	17	7	can	can	AUX
cana-550	17	8	be	be	AUX
cana-550	17	9	evaluated	evaluate	VERB
cana-550	17	10	using	use	VERB
cana-550	17	11	many	many	ADJ
cana-550	17	12	metrics	metric	NOUN
cana-550	17	13	,	,	PUNCT
cana-550	17	14	one	one	NUM
cana-550	17	15	of	of	ADP
cana-550	17	16	which	which	PRON
cana-550	17	17	is	be	AUX
cana-550	17	18	the	the	DET
cana-550	17	19	apnea	apnea	NOUN
cana-550	17	20	and	and	CCONJ
cana-550	17	21	hypopnea	hypopnea	PROPN
cana-550	17	22	index	index	NOUN
cana-550	17	23	(	(	PUNCT
cana-550	17	24	ahi	ahi	NOUN
cana-550	17	25	)	)	PUNCT
cana-550	18	1	[	[	X
cana-550	18	2	3	3	NUM
cana-550	18	3	]	]	PUNCT
cana-550	18	4	.	.	PUNCT
cana-550	19	1	a	a	DET
cana-550	19	2	high	high	ADJ
cana-550	19	3	number	number	NOUN
cana-550	19	4	of	of	ADP
cana-550	19	5	episodes	episode	NOUN
cana-550	19	6	each	each	DET
cana-550	19	7	hour	hour	NOUN
cana-550	19	8	is	be	AUX
cana-550	19	9	used	use	VERB
cana-550	19	10	to	to	PART
cana-550	19	11	calculate	calculate	VERB
cana-550	19	12	the	the	DET
cana-550	19	13	ahi	ahi	NOUN
cana-550	19	14	.	.	PUNCT
cana-550	20	1	an	an	DET
cana-550	20	2	hourly	hourly	ADJ
cana-550	20	3	episode	episode	NOUN
cana-550	20	4	frequency	frequency	NOUN
cana-550	20	5	for	for	ADP
cana-550	20	6	a	a	DET
cana-550	20	7	moderate	moderate	ADJ
cana-550	20	8	osa	osa	ADJ
cana-550	20	9	patient	patient	NOUN
cana-550	20	10	ranges	range	VERB
cana-550	20	11	from	from	ADP
cana-550	20	12	five	five	NUM
cana-550	20	13	to	to	PART
cana-550	20	14	fifteen	fifteen	NUM
cana-550	20	15	times	time	NOUN
cana-550	20	16	[	[	X
cana-550	20	17	4	4	NUM
cana-550	20	18	]	]	PUNCT
cana-550	20	19	.	.	PUNCT
cana-550	21	1	patients	patient	NOUN
cana-550	21	2	with	with	ADP
cana-550	21	3	mild	mild	ADJ
cana-550	21	4	symptoms	symptom	NOUN
cana-550	21	5	had	have	VERB
cana-550	21	6	15	15	NUM
cana-550	21	7	or	or	CCONJ
cana-550	21	8	less	less	ADJ
cana-550	21	9	episodes	episode	NOUN
cana-550	21	10	per	per	ADP
cana-550	21	11	hour	hour	NOUN
cana-550	21	12	,	,	PUNCT
cana-550	21	13	whereas	whereas	SCONJ
cana-550	21	14	those	those	PRON
cana-550	21	15	with	with	ADP
cana-550	21	16	severe	severe	ADJ
cana-550	21	17	symptoms	symptom	NOUN
cana-550	21	18	have	have	VERB
cana-550	21	19	30	30	NUM
cana-550	21	20	or	or	CCONJ
cana-550	21	21	more	more	ADJ
cana-550	21	22	episodes	episode	NOUN
cana-550	21	23	per	per	ADP
cana-550	21	24	hour	hour	NOUN
cana-550	22	1	[	[	X
cana-550	22	2	5	5	NUM
cana-550	22	3	-	-	SYM
cana-550	22	4	6	6	NUM
cana-550	22	5	]	]	PUNCT
cana-550	22	6	.	.	PUNCT
cana-550	23	1	fatigue	fatigue	NOUN
cana-550	23	2	,	,	PUNCT
cana-550	23	3	sadness	sadness	NOUN
cana-550	23	4	,	,	PUNCT
cana-550	23	5	and	and	CCONJ
cana-550	23	6	memory	memory	NOUN
cana-550	23	7	difficulties	difficulty	NOUN
cana-550	23	8	are	be	AUX
cana-550	23	9	all	all	PRON
cana-550	23	10	consequences	consequence	NOUN
cana-550	23	11	of	of	ADP
cana-550	23	12	this	this	DET
cana-550	23	13	issue	issue	NOUN
cana-550	23	14	,	,	PUNCT
cana-550	23	15	which	which	PRON
cana-550	23	16	has	have	VERB
cana-550	23	17	a	a	DET
cana-550	23	18	profound	profound	ADJ
cana-550	23	19	impact	impact	NOUN
cana-550	23	20	on	on	ADP
cana-550	23	21	people	people	NOUN
cana-550	23	22	's	's	PART
cana-550	23	23	daily	daily	ADJ
cana-550	23	24	lives	life	NOUN
cana-550	23	25	[	[	X
cana-550	23	26	7	7	NUM
cana-550	23	27	-	-	SYM
cana-550	23	28	8	8	NUM
cana-550	23	29	]	]	PUNCT
cana-550	23	30	.	.	PUNCT
cana-550	24	1	stroke	stroke	NOUN
cana-550	24	2	,	,	PUNCT
cana-550	24	3	communications	communication	NOUN
cana-550	24	4	on	on	ADP
cana-550	24	5	applied	apply	VERB
cana-550	24	6	nonlinear	nonlinear	ADJ
cana-550	24	7	analysis	analysis	NOUN
cana-550	24	8	issn	issn	NOUN
cana-550	24	9	:	:	PUNCT
cana-550	24	10	1074	1074	NUM
cana-550	24	11	-	-	PUNCT
cana-550	24	12	133x	133x	NUM
cana-550	24	13	vol	vol	NOUN
cana-550	24	14	31	31	NUM
cana-550	24	15	no	no	NOUN
cana-550	24	16	.	.	NOUN
cana-550	24	17	2	2	NUM
cana-550	24	18	(	(	PUNCT
cana-550	24	19	2024	2024	NUM
cana-550	24	20	)	)	PUNCT
cana-550	24	21	271	271	NUM
cana-550	24	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	24	23	arrhythmia	arrhythmia	NOUN
cana-550	24	24	,	,	PUNCT
cana-550	24	25	and	and	CCONJ
cana-550	24	26	myocardial	myocardial	ADJ
cana-550	24	27	interaction	interaction	NOUN
cana-550	24	28	are	be	AUX
cana-550	24	29	all	all	PRON
cana-550	24	30	increased	increase	VERB
cana-550	24	31	risks	risk	NOUN
cana-550	24	32	in	in	ADP
cana-550	24	33	moderate	moderate	ADJ
cana-550	24	34	to	to	ADP
cana-550	24	35	severe	severe	ADJ
cana-550	24	36	osa	osa	ADJ
cana-550	24	37	patients	patient	NOUN
cana-550	24	38	when	when	SCONJ
cana-550	24	39	they	they	PRON
cana-550	24	40	sleep	sleep	VERB
cana-550	24	41	.	.	PUNCT
cana-550	25	1	consequently	consequently	ADV
cana-550	25	2	,	,	PUNCT
cana-550	25	3	a	a	DET
cana-550	25	4	critical	critical	ADJ
cana-550	25	5	concern	concern	NOUN
cana-550	25	6	in	in	ADP
cana-550	25	7	this	this	DET
cana-550	25	8	situation	situation	NOUN
cana-550	25	9	is	be	AUX
cana-550	25	10	the	the	DET
cana-550	25	11	detection	detection	NOUN
cana-550	25	12	or	or	CCONJ
cana-550	25	13	prediction	prediction	NOUN
cana-550	25	14	of	of	ADP
cana-550	25	15	osa	osa	PROPN
cana-550	25	16	episodes	episode	NOUN
cana-550	25	17	[	[	X
cana-550	25	18	9	9	NUM
cana-550	25	19	-	-	SYM
cana-550	25	20	10	10	NUM
cana-550	25	21	]	]	PUNCT
cana-550	25	22	.	.	PUNCT
cana-550	26	1	all	all	DET
cana-550	26	2	forms	form	NOUN
cana-550	26	3	of	of	ADP
cana-550	26	4	sleep	sleep	NOUN
cana-550	26	5	apnea	apnea	NOUN
cana-550	26	6	can	can	AUX
cana-550	26	7	be	be	AUX
cana-550	26	8	reliably	reliably	ADV
cana-550	26	9	diagnosed	diagnose	VERB
cana-550	26	10	using	use	VERB
cana-550	26	11	polysomnography	polysomnography	NOUN
cana-550	26	12	.	.	PUNCT
cana-550	27	1	electroencephalogram	electroencephalogram	PROPN
cana-550	27	2	(	(	PUNCT
cana-550	27	3	eeg	eeg	PROPN
cana-550	27	4	)	)	PUNCT
cana-550	27	5	,	,	PUNCT
cana-550	27	6	electrocardiogram	electrocardiogram	NOUN
cana-550	27	7	(	(	PUNCT
cana-550	27	8	ecg	ecg	PROPN
cana-550	27	9	)	)	PUNCT
cana-550	27	10	,	,	PUNCT
cana-550	27	11	respiration	respiration	NOUN
cana-550	27	12	(	(	PUNCT
cana-550	27	13	resp	resp	NOUN
cana-550	27	14	)	)	PUNCT
cana-550	27	15	signal	signal	NOUN
cana-550	27	16	,	,	PUNCT
cana-550	27	17	blood	blood	NOUN
cana-550	27	18	oxygen	oxygen	NOUN
cana-550	27	19	level	level	NOUN
cana-550	27	20	,	,	PUNCT
cana-550	27	21	and	and	CCONJ
cana-550	27	22	eye	eye	NOUN
cana-550	27	23	movement	movement	NOUN
cana-550	27	24	data	datum	NOUN
cana-550	27	25	make	make	VERB
cana-550	27	26	up	up	ADP
cana-550	27	27	the	the	DET
cana-550	27	28	polysomnogram	polysomnogram	NOUN
cana-550	27	29	(	(	PUNCT
cana-550	27	30	psg	psg	PROPN
cana-550	27	31	)	)	PUNCT
cana-550	27	32	signal	signal	NOUN
cana-550	28	1	[	[	X
cana-550	28	2	11	11	NUM
cana-550	28	3	,	,	PUNCT
cana-550	28	4	12	12	NUM
cana-550	28	5	]	]	PUNCT
cana-550	28	6	.	.	PUNCT
cana-550	29	1	under	under	ADP
cana-550	29	2	the	the	DET
cana-550	29	3	guidance	guidance	NOUN
cana-550	29	4	of	of	ADP
cana-550	29	5	a	a	DET
cana-550	29	6	sleep	sleep	NOUN
cana-550	29	7	expert	expert	NOUN
cana-550	29	8	,	,	PUNCT
cana-550	29	9	this	this	DET
cana-550	29	10	signal	signal	NOUN
cana-550	29	11	is	be	AUX
cana-550	29	12	captured	capture	VERB
cana-550	29	13	throughout	throughout	ADP
cana-550	29	14	the	the	DET
cana-550	29	15	night	night	NOUN
cana-550	29	16	from	from	ADP
cana-550	29	17	individuals	individual	NOUN
cana-550	29	18	who	who	PRON
cana-550	29	19	are	be	AUX
cana-550	29	20	suspected	suspect	VERB
cana-550	29	21	of	of	ADP
cana-550	29	22	having	have	VERB
cana-550	29	23	a	a	DET
cana-550	29	24	sleep	sleep	NOUN
cana-550	29	25	disturbance	disturbance	NOUN
cana-550	29	26	.	.	PUNCT
cana-550	30	1	the	the	DET
cana-550	30	2	expert	expert	NOUN
cana-550	30	3	has	have	VERB
cana-550	30	4	the	the	DET
cana-550	30	5	option	option	NOUN
cana-550	30	6	of	of	ADP
cana-550	30	7	using	use	VERB
cana-550	30	8	online	online	ADJ
cana-550	30	9	monitoring	monitoring	NOUN
cana-550	30	10	or	or	CCONJ
cana-550	30	11	offline	offline	ADJ
cana-550	30	12	observation	observation	NOUN
cana-550	30	13	to	to	PART
cana-550	30	14	identify	identify	VERB
cana-550	30	15	sleep	sleep	NOUN
cana-550	30	16	episodes	episode	NOUN
cana-550	30	17	.	.	PUNCT
cana-550	31	1	however	however	ADV
cana-550	31	2	,	,	PUNCT
cana-550	31	3	the	the	DET
cana-550	31	4	professional	professional	NOUN
cana-550	31	5	finds	find	VERB
cana-550	31	6	this	this	DET
cana-550	31	7	technique	technique	NOUN
cana-550	31	8	challenging	challenging	ADJ
cana-550	31	9	.	.	PUNCT
cana-550	32	1	as	as	SCONJ
cana-550	32	2	say	say	VERB
cana-550	32	3	,	,	PUNCT
cana-550	32	4	it	it	PRON
cana-550	32	5	's	be	AUX
cana-550	32	6	a	a	DET
cana-550	32	7	tedious	tedious	ADJ
cana-550	32	8	process	process	NOUN
cana-550	32	9	that	that	PRON
cana-550	32	10	demands	demand	VERB
cana-550	32	11	undivided	undivided	ADJ
cana-550	32	12	attention	attention	NOUN
cana-550	32	13	[	[	X
cana-550	32	14	13–14	13–14	NUM
cana-550	32	15	]	]	PUNCT
cana-550	32	16	.	.	PUNCT
cana-550	33	1	adults	adult	NOUN
cana-550	33	2	can	can	AUX
cana-550	33	3	have	have	AUX
cana-550	33	4	sleep	sleep	NOUN
cana-550	33	5	apnea	apnea	NOUN
cana-550	33	6	syndrome	syndrome	PROPN
cana-550	33	7	(	(	PUNCT
cana-550	33	8	sas	sas	PROPN
cana-550	33	9	)	)	PUNCT
cana-550	33	10	when	when	SCONJ
cana-550	33	11	their	their	PRON
cana-550	33	12	airways	airway	NOUN
cana-550	33	13	momentarily	momentarily	ADV
cana-550	33	14	constrict	constrict	VERB
cana-550	33	15	while	while	SCONJ
cana-550	33	16	they	they	PRON
cana-550	33	17	sleep	sleep	VERB
cana-550	33	18	,	,	PUNCT
cana-550	33	19	preventing	prevent	VERB
cana-550	33	20	air	air	NOUN
cana-550	33	21	from	from	ADP
cana-550	33	22	reaching	reach	VERB
cana-550	33	23	their	their	PRON
cana-550	33	24	lungs	lung	NOUN
cana-550	33	25	[	[	X
cana-550	33	26	15	15	NUM
cana-550	33	27	]	]	PUNCT
cana-550	33	28	.	.	PUNCT
cana-550	34	1	if	if	SCONJ
cana-550	34	2	this	this	PRON
cana-550	34	3	happens	happen	VERB
cana-550	34	4	,	,	PUNCT
cana-550	34	5	can	can	AUX
cana-550	34	6	not	not	PART
cana-550	34	7	be	be	AUX
cana-550	34	8	able	able	ADJ
cana-550	34	9	to	to	PART
cana-550	34	10	breathe	breathe	VERB
cana-550	34	11	for	for	ADP
cana-550	34	12	almost	almost	ADV
cana-550	34	13	ten	ten	NUM
cana-550	34	14	seconds	second	NOUN
cana-550	34	15	.	.	PUNCT
cana-550	35	1	one	one	NUM
cana-550	35	2	typical	typical	ADJ
cana-550	35	3	adverse	adverse	ADJ
cana-550	35	4	effect	effect	NOUN
cana-550	35	5	is	be	AUX
cana-550	35	6	a	a	DET
cana-550	35	7	drop	drop	NOUN
cana-550	35	8	in	in	ADP
cana-550	35	9	blood	blood	NOUN
cana-550	35	10	oxygen	oxygen	NOUN
cana-550	35	11	saturation	saturation	NOUN
cana-550	35	12	,	,	PUNCT
cana-550	35	13	which	which	PRON
cana-550	35	14	might	might	AUX
cana-550	35	15	cause	cause	VERB
cana-550	35	16	to	to	PART
cana-550	35	17	wake	wake	VERB
cana-550	35	18	up	up	ADP
cana-550	35	19	from	from	ADP
cana-550	35	20	sleep	sleep	NOUN
cana-550	35	21	just	just	ADV
cana-550	35	22	to	to	PART
cana-550	35	23	breathe	breathe	VERB
cana-550	35	24	[	[	X
cana-550	35	25	16	16	NUM
cana-550	35	26	]	]	PUNCT
cana-550	35	27	.	.	PUNCT
cana-550	36	1	it	it	PRON
cana-550	36	2	is	be	AUX
cana-550	36	3	believed	believe	VERB
cana-550	36	4	that	that	SCONJ
cana-550	36	5	intermittent	intermittent	ADJ
cana-550	36	6	hypoxia	hypoxia	NOUN
cana-550	36	7	generated	generate	VERB
cana-550	36	8	by	by	ADP
cana-550	36	9	repeated	repeat	VERB
cana-550	36	10	obstructive	obstructive	ADJ
cana-550	36	11	events	event	NOUN
cana-550	36	12	that	that	PRON
cana-550	36	13	happen	happen	VERB
cana-550	36	14	during	during	ADP
cana-550	36	15	sleep	sleep	NOUN
cana-550	36	16	triggers	trigger	VERB
cana-550	36	17	an	an	DET
cana-550	36	18	oxidative	oxidative	ADJ
cana-550	36	19	stress	stress	NOUN
cana-550	36	20	response	response	NOUN
cana-550	36	21	and	and	CCONJ
cana-550	36	22	activates	activate	VERB
cana-550	36	23	oxygen	oxygen	NOUN
cana-550	36	24	free	free	ADJ
cana-550	36	25	radicals	radical	NOUN
cana-550	36	26	[	[	X
cana-550	36	27	17	17	NUM
cana-550	36	28	]	]	PUNCT
cana-550	36	29	.	.	PUNCT
cana-550	37	1	the	the	DET
cana-550	37	2	most	most	ADV
cana-550	37	3	common	common	ADJ
cana-550	37	4	pattern	pattern	NOUN
cana-550	37	5	of	of	ADP
cana-550	37	6	sleep	sleep	NOUN
cana-550	37	7	-	-	PUNCT
cana-550	37	8	associated	associate	VERB
cana-550	37	9	hypoxia	hypoxia	NOUN
cana-550	37	10	(	(	PUNCT
cana-550	37	11	sas	sas	NOUN
cana-550	37	12	)	)	PUNCT
cana-550	37	13	events	event	NOUN
cana-550	37	14	,	,	PUNCT
cana-550	37	15	based	base	VERB
cana-550	37	16	on	on	ADP
cana-550	37	17	whether	whether	SCONJ
cana-550	37	18	the	the	DET
cana-550	37	19	patient	patient	NOUN
cana-550	37	20	shows	show	VERB
cana-550	37	21	signs	sign	NOUN
cana-550	37	22	of	of	ADP
cana-550	37	23	respiratory	respiratory	ADJ
cana-550	37	24	effort	effort	NOUN
cana-550	37	25	,	,	PUNCT
cana-550	37	26	is	be	AUX
cana-550	37	27	known	know	VERB
cana-550	37	28	as	as	ADP
cana-550	37	29	obstructive	obstructive	ADJ
cana-550	37	30	sleep	sleep	NOUN
cana-550	37	31	apnea	apnea	NOUN
cana-550	37	32	(	(	PUNCT
cana-550	37	33	osa	osa	ADJ
cana-550	37	34	)	)	PUNCT
cana-550	37	35	and	and	CCONJ
cana-550	37	36	occurs	occur	VERB
cana-550	37	37	when	when	SCONJ
cana-550	37	38	the	the	DET
cana-550	37	39	air	air	NOUN
cana-550	37	40	flow	flow	NOUN
cana-550	37	41	completely	completely	ADV
cana-550	37	42	stops	stop	VERB
cana-550	37	43	during	during	ADP
cana-550	37	44	a	a	DET
cana-550	37	45	patient	patient	NOUN
cana-550	37	46	's	's	PART
cana-550	37	47	sleep	sleep	NOUN
cana-550	38	1	[	[	X
cana-550	38	2	18	18	NUM
cana-550	38	3	]	]	PUNCT
cana-550	38	4	.	.	PUNCT
cana-550	39	1	when	when	SCONJ
cana-550	39	2	these	these	DET
cana-550	39	3	two	two	NUM
cana-550	39	4	symptoms	symptom	NOUN
cana-550	39	5	occur	occur	VERB
cana-550	39	6	simultaneously	simultaneously	ADV
cana-550	39	7	,	,	PUNCT
cana-550	39	8	it	it	PRON
cana-550	39	9	's	be	AUX
cana-550	39	10	called	call	VERB
cana-550	39	11	mixed	mixed	ADJ
cana-550	39	12	sleep	sleep	NOUN
cana-550	39	13	apnea	apnea	NOUN
cana-550	39	14	(	(	PUNCT
cana-550	39	15	msa	msa	PROPN
cana-550	39	16	)	)	PUNCT
cana-550	39	17	.	.	PUNCT
cana-550	40	1	in	in	ADP
cana-550	40	2	this	this	DET
cana-550	40	3	condition	condition	NOUN
cana-550	40	4	,	,	PUNCT
cana-550	40	5	the	the	DET
cana-550	40	6	patient	patient	NOUN
cana-550	40	7	has	have	VERB
cana-550	40	8	a	a	DET
cana-550	40	9	central	central	ADJ
cana-550	40	10	respiratory	respiratory	ADJ
cana-550	40	11	arrest	arrest	NOUN
cana-550	40	12	followed	follow	VERB
cana-550	40	13	by	by	ADP
cana-550	40	14	an	an	DET
cana-550	40	15	obstructive	obstructive	ADJ
cana-550	40	16	ventilator	ventilator	NOUN
cana-550	40	17	effort	effort	NOUN
cana-550	40	18	very	very	ADV
cana-550	40	19	quickly	quickly	ADV
cana-550	40	20	thereafter	thereafter	ADV
cana-550	40	21	.	.	PUNCT
cana-550	41	1	hypopnea	hypopnea	PROPN
cana-550	41	2	,	,	PUNCT
cana-550	41	3	which	which	PRON
cana-550	41	4	occurs	occur	VERB
cana-550	41	5	when	when	SCONJ
cana-550	41	6	part	part	NOUN
cana-550	41	7	of	of	ADP
cana-550	41	8	the	the	DET
cana-550	41	9	airway	airway	NOUN
cana-550	41	10	is	be	AUX
cana-550	41	11	partly	partly	ADV
cana-550	41	12	obstructed	obstruct	VERB
cana-550	41	13	,	,	PUNCT
cana-550	41	14	also	also	ADV
cana-550	41	15	lowers	lower	VERB
cana-550	41	16	oxygen	oxygen	NOUN
cana-550	41	17	supply	supply	NOUN
cana-550	41	18	to	to	ADP
cana-550	41	19	the	the	DET
cana-550	41	20	lungs	lung	NOUN
cana-550	41	21	and	and	CCONJ
cana-550	41	22	produces	produce	VERB
cana-550	41	23	shallow	shallow	ADJ
cana-550	41	24	,	,	PUNCT
cana-550	41	25	slow	slow	ADJ
cana-550	41	26	breathing	breathing	NOUN
cana-550	41	27	[	[	X
cana-550	41	28	19–20	19–20	X
cana-550	41	29	]	]	PUNCT
cana-550	41	30	.	.	PUNCT
cana-550	42	1	the	the	DET
cana-550	42	2	main	main	ADJ
cana-550	42	3	contribution	contribution	NOUN
cana-550	42	4	of	of	ADP
cana-550	42	5	the	the	DET
cana-550	42	6	paper	paper	NOUN
cana-550	42	7	is	be	AUX
cana-550	42	8	:	:	PUNCT
cana-550	42	9	➢	➢	VERB
cana-550	42	10	dataset	dataset	ADJ
cana-550	42	11	preprocessing	preprocessing	NOUN
cana-550	42	12	using	use	VERB
cana-550	42	13	zscore	zscore	NOUN
cana-550	42	14	normalization	normalization	NOUN
cana-550	42	15	➢	➢	VERB
cana-550	42	16	feature	feature	NOUN
cana-550	42	17	selection	selection	NOUN
cana-550	42	18	using	use	VERB
cana-550	42	19	improved	improved	ADJ
cana-550	42	20	pan	pan	NOUN
cana-550	42	21	–	–	PUNCT
cana-550	42	22	tompkins	tompkins	PROPN
cana-550	42	23	algorithm	algorithm	NOUN
cana-550	42	24	➢	➢	VERB
cana-550	42	25	classification	classification	NOUN
cana-550	42	26	and	and	CCONJ
cana-550	42	27	prediction	prediction	NOUN
cana-550	42	28	using	use	VERB
cana-550	42	29	caswideresnet	caswideresnet	NOUN
cana-550	42	30	algorithm	algorithm	NOUN
cana-550	42	31	1.1	1.1	NUM
cana-550	42	32	motivation	motivation	NOUN
cana-550	42	33	of	of	ADP
cana-550	42	34	the	the	DET
cana-550	42	35	paper	paper	NOUN
cana-550	42	36	the	the	DET
cana-550	42	37	motivation	motivation	NOUN
cana-550	42	38	behind	behind	ADP
cana-550	42	39	this	this	DET
cana-550	42	40	paper	paper	NOUN
cana-550	42	41	is	be	AUX
cana-550	42	42	to	to	PART
cana-550	42	43	address	address	VERB
cana-550	42	44	the	the	DET
cana-550	42	45	critical	critical	ADJ
cana-550	42	46	need	need	NOUN
cana-550	42	47	for	for	ADP
cana-550	42	48	timely	timely	ADJ
cana-550	42	49	and	and	CCONJ
cana-550	42	50	accurate	accurate	ADJ
cana-550	42	51	detection	detection	NOUN
cana-550	42	52	of	of	ADP
cana-550	42	53	sleep	sleep	NOUN
cana-550	42	54	apnea	apnea	NOUN
cana-550	42	55	,	,	PUNCT
cana-550	42	56	a	a	DET
cana-550	42	57	widespread	widespread	ADJ
cana-550	42	58	and	and	CCONJ
cana-550	42	59	serious	serious	ADJ
cana-550	42	60	sleep	sleep	NOUN
cana-550	42	61	disorder	disorder	NOUN
cana-550	42	62	impacting	impact	VERB
cana-550	42	63	millions	million	NOUN
cana-550	42	64	globally	globally	ADV
cana-550	42	65	.	.	PUNCT
cana-550	43	1	by	by	ADP
cana-550	43	2	proposing	propose	VERB
cana-550	43	3	an	an	DET
cana-550	43	4	advanced	advanced	ADJ
cana-550	43	5	approach	approach	NOUN
cana-550	43	6	that	that	PRON
cana-550	43	7	integrates	integrate	VERB
cana-550	43	8	cutting	cut	VERB
cana-550	43	9	-	-	PUNCT
cana-550	43	10	edge	edge	NOUN
cana-550	43	11	techniques	technique	NOUN
cana-550	43	12	like	like	ADP
cana-550	43	13	z	z	NOUN
cana-550	43	14	-	-	PUNCT
cana-550	43	15	score	score	NOUN
cana-550	43	16	normalization	normalization	NOUN
cana-550	43	17	for	for	ADP
cana-550	43	18	data	data	NOUN
cana-550	43	19	standardization	standardization	NOUN
cana-550	43	20	,	,	PUNCT
cana-550	43	21	improved	improve	VERB
cana-550	43	22	feature	feature	NOUN
cana-550	43	23	selection	selection	NOUN
cana-550	43	24	using	use	VERB
cana-550	43	25	the	the	DET
cana-550	43	26	pan	pan	NOUN
cana-550	43	27	-	-	ADJ
cana-550	43	28	tompkins	tompkin	NOUN
cana-550	43	29	algorithm	algorithm	NOUN
cana-550	43	30	,	,	PUNCT
cana-550	43	31	and	and	CCONJ
cana-550	43	32	the	the	DET
cana-550	43	33	deep	deep	ADJ
cana-550	43	34	learning	learning	NOUN
cana-550	43	35	capabilities	capability	NOUN
cana-550	43	36	of	of	ADP
cana-550	43	37	caswideresnet	caswideresnet	NOUN
cana-550	43	38	,	,	PUNCT
cana-550	43	39	we	we	PRON
cana-550	43	40	aim	aim	VERB
cana-550	43	41	to	to	PART
cana-550	43	42	significantly	significantly	ADV
cana-550	43	43	enhance	enhance	VERB
cana-550	43	44	the	the	DET
cana-550	43	45	accuracy	accuracy	NOUN
cana-550	43	46	and	and	CCONJ
cana-550	43	47	efficacy	efficacy	NOUN
cana-550	43	48	of	of	ADP
cana-550	43	49	sleep	sleep	NOUN
cana-550	43	50	apnea	apnea	VERB
cana-550	43	51	classification	classification	NOUN
cana-550	43	52	and	and	CCONJ
cana-550	43	53	prediction	prediction	NOUN
cana-550	43	54	.	.	PUNCT
cana-550	44	1	this	this	DET
cana-550	44	2	work	work	NOUN
cana-550	44	3	is	be	AUX
cana-550	44	4	driven	drive	VERB
cana-550	44	5	by	by	ADP
cana-550	44	6	the	the	DET
cana-550	44	7	potential	potential	NOUN
cana-550	44	8	to	to	PART
cana-550	44	9	improve	improve	VERB
cana-550	44	10	patient	patient	ADJ
cana-550	44	11	outcomes	outcome	NOUN
cana-550	44	12	and	and	CCONJ
cana-550	44	13	quality	quality	NOUN
cana-550	44	14	of	of	ADP
cana-550	44	15	life	life	NOUN
cana-550	44	16	through	through	ADP
cana-550	44	17	more	more	ADV
cana-550	44	18	precise	precise	ADJ
cana-550	44	19	and	and	CCONJ
cana-550	44	20	efficient	efficient	ADJ
cana-550	44	21	diagnosis	diagnosis	NOUN
cana-550	44	22	and	and	CCONJ
cana-550	44	23	management	management	NOUN
cana-550	44	24	of	of	ADP
cana-550	44	25	sleep	sleep	NOUN
cana-550	44	26	apnea	apnea	NOUN
cana-550	44	27	episodes	episode	NOUN
cana-550	44	28	.	.	PUNCT
cana-550	45	1	ii	ii	PROPN
cana-550	45	2	.	.	PUNCT
cana-550	45	3	background	background	PROPN
cana-550	45	4	study	study	PROPN
cana-550	45	5	ahmed	ahmed	PROPN
cana-550	45	6	,	,	PUNCT
cana-550	45	7	s.	s.	PROPN
cana-550	45	8	et	et	PROPN
cana-550	45	9	al	al	PROPN
cana-550	45	10	.	.	PUNCT
cana-550	46	1	[	[	X
cana-550	46	2	1	1	X
cana-550	46	3	]	]	PUNCT
cana-550	46	4	the	the	DET
cana-550	46	5	author	author	NOUN
cana-550	46	6	found	find	VERB
cana-550	46	7	that	that	SCONJ
cana-550	46	8	by	by	ADP
cana-550	46	9	combining	combine	VERB
cana-550	46	10	the	the	DET
cana-550	46	11	most	most	ADV
cana-550	46	12	relevant	relevant	ADJ
cana-550	46	13	questions	question	NOUN
cana-550	46	14	,	,	PUNCT
cana-550	46	15	diagnostic	diagnostic	ADJ
cana-550	46	16	accuracy	accuracy	NOUN
cana-550	46	17	for	for	ADP
cana-550	46	18	pediatric	pediatric	ADJ
cana-550	46	19	osa	osa	PROPN
cana-550	46	20	can	can	AUX
cana-550	46	21	be	be	AUX
cana-550	46	22	increased	increase	VERB
cana-550	46	23	,	,	PUNCT
cana-550	46	24	as	as	SCONJ
cana-550	46	25	part	part	NOUN
cana-550	46	26	of	of	ADP
cana-550	46	27	these	these	DET
cana-550	46	28	authors	author	NOUN
cana-550	46	29	effort	effort	VERB
cana-550	46	30	to	to	PART
cana-550	46	31	study	study	VERB
cana-550	46	32	the	the	DET
cana-550	46	33	predictive	predictive	ADJ
cana-550	46	34	validity	validity	NOUN
cana-550	46	35	of	of	ADP
cana-550	46	36	affordable	affordable	ADJ
cana-550	46	37	and	and	CCONJ
cana-550	46	38	simple	simple	ADJ
cana-550	46	39	test	test	NOUN
cana-550	46	40	protocols	protocol	NOUN
cana-550	46	41	like	like	ADP
cana-550	46	42	questionnaires	questionnaire	NOUN
cana-550	46	43	.	.	PUNCT
cana-550	47	1	by	by	ADP
cana-550	47	2	communications	communication	NOUN
cana-550	47	3	on	on	ADP
cana-550	47	4	applied	apply	VERB
cana-550	47	5	nonlinear	nonlinear	ADJ
cana-550	47	6	analysis	analysis	NOUN
cana-550	47	7	issn	issn	NOUN
cana-550	47	8	:	:	PUNCT
cana-550	47	9	1074	1074	NUM
cana-550	47	10	-	-	PUNCT
cana-550	47	11	133x	133x	NUM
cana-550	47	12	vol	vol	NOUN
cana-550	47	13	31	31	NUM
cana-550	47	14	no	no	NOUN
cana-550	47	15	.	.	NOUN
cana-550	47	16	2	2	NUM
cana-550	47	17	(	(	PUNCT
cana-550	47	18	2024	2024	NUM
cana-550	47	19	)	)	PUNCT
cana-550	47	20	272	272	NUM
cana-550	47	21	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	47	22	using	use	VERB
cana-550	47	23	feature	feature	NOUN
cana-550	47	24	selection	selection	NOUN
cana-550	47	25	approaches	approach	NOUN
cana-550	47	26	,	,	PUNCT
cana-550	47	27	the	the	DET
cana-550	47	28	authors	author	NOUN
cana-550	47	29	were	be	AUX
cana-550	47	30	able	able	ADJ
cana-550	47	31	to	to	PART
cana-550	47	32	construct	construct	VERB
cana-550	47	33	a	a	DET
cana-550	47	34	new	new	ADJ
cana-550	47	35	survey	survey	NOUN
cana-550	47	36	that	that	PRON
cana-550	47	37	outperformed	outperform	VERB
cana-550	47	38	the	the	DET
cana-550	47	39	old	old	ADJ
cana-550	47	40	ones	one	NOUN
cana-550	47	41	in	in	ADP
cana-550	47	42	terms	term	NOUN
cana-550	47	43	of	of	ADP
cana-550	47	44	accuracy	accuracy	NOUN
cana-550	47	45	.	.	PUNCT
cana-550	48	1	dong	dong	PROPN
cana-550	48	2	,	,	PUNCT
cana-550	48	3	q.	q.	PROPN
cana-550	48	4	et	et	PROPN
cana-550	48	5	al	al	PROPN
cana-550	48	6	.	.	PUNCT
cana-550	49	1	[	[	X
cana-550	49	2	4	4	X
cana-550	49	3	]	]	PUNCT
cana-550	49	4	these	these	DET
cana-550	49	5	authors	author	NOUN
cana-550	49	6	research	research	NOUN
cana-550	49	7	introduces	introduce	VERB
cana-550	49	8	a	a	DET
cana-550	49	9	technique	technique	NOUN
cana-550	49	10	for	for	ADP
cana-550	49	11	identifying	identify	VERB
cana-550	49	12	osa	osa	PROPN
cana-550	49	13	using	use	VERB
cana-550	49	14	a	a	DET
cana-550	49	15	convolutional	convolutional	ADJ
cana-550	49	16	neural	neural	ADJ
cana-550	49	17	network	network	NOUN
cana-550	49	18	.	.	PUNCT
cana-550	50	1	a	a	DET
cana-550	50	2	variety	variety	NOUN
cana-550	50	3	of	of	ADP
cana-550	50	4	augmentation	augmentation	NOUN
cana-550	50	5	techniques	technique	NOUN
cana-550	50	6	were	be	AUX
cana-550	50	7	investigated	investigate	VERB
cana-550	50	8	for	for	ADP
cana-550	50	9	the	the	DET
cana-550	50	10	validating	validate	VERB
cana-550	50	11	dataset	dataset	NOUN
cana-550	50	12	,	,	PUNCT
cana-550	50	13	in	in	ADP
cana-550	50	14	addition	addition	NOUN
cana-550	50	15	to	to	ADP
cana-550	50	16	the	the	DET
cana-550	50	17	conventional	conventional	ADJ
cana-550	50	18	data	datum	NOUN
cana-550	50	19	augmentation	augmentation	NOUN
cana-550	50	20	for	for	ADP
cana-550	50	21	the	the	DET
cana-550	50	22	training	training	NOUN
cana-550	50	23	dataset	dataset	NOUN
cana-550	50	24	.	.	PUNCT
cana-550	51	1	improving	improve	VERB
cana-550	51	2	identification	identification	NOUN
cana-550	51	3	accuracy	accuracy	NOUN
cana-550	51	4	was	be	AUX
cana-550	51	5	possible	possible	ADJ
cana-550	51	6	with	with	ADP
cana-550	51	7	the	the	DET
cana-550	51	8	help	help	NOUN
cana-550	51	9	of	of	ADP
cana-550	51	10	representation	representation	NOUN
cana-550	51	11	learning	learning	NOUN
cana-550	51	12	.	.	PUNCT
cana-550	52	1	increasing	increase	VERB
cana-550	52	2	the	the	DET
cana-550	52	3	size	size	NOUN
cana-550	52	4	of	of	ADP
cana-550	52	5	the	the	DET
cana-550	52	6	neural	neural	ADJ
cana-550	52	7	network	network	NOUN
cana-550	52	8	and	and	CCONJ
cana-550	52	9	the	the	DET
cana-550	52	10	quantity	quantity	NOUN
cana-550	52	11	of	of	ADP
cana-550	52	12	labelled	label	VERB
cana-550	52	13	datasets	dataset	NOUN
cana-550	52	14	can	can	AUX
cana-550	52	15	further	far	ADV
cana-550	52	16	enhance	enhance	VERB
cana-550	52	17	the	the	DET
cana-550	52	18	accuracy	accuracy	NOUN
cana-550	52	19	.	.	PUNCT
cana-550	53	1	learning	learning	NOUN
cana-550	53	2	,	,	PUNCT
cana-550	53	3	m.	m.	PROPN
cana-550	53	4	u.	u.	PROPN
cana-550	53	5	s.	s.	PROPN
cana-550	53	6	m.	m.	PROPN
cana-550	54	1	[	[	X
cana-550	54	2	8	8	X
cana-550	54	3	]	]	PUNCT
cana-550	54	4	the	the	DET
cana-550	54	5	findings	finding	NOUN
cana-550	54	6	show	show	VERB
cana-550	54	7	that	that	SCONJ
cana-550	54	8	self	self	NOUN
cana-550	54	9	-	-	PUNCT
cana-550	54	10	reported	report	VERB
cana-550	54	11	symptoms	symptom	NOUN
cana-550	54	12	and	and	CCONJ
cana-550	54	13	readily	readily	ADV
cana-550	54	14	accessible	accessible	ADJ
cana-550	54	15	characteristics	characteristic	NOUN
cana-550	54	16	for	for	ADP
cana-550	54	17	modeling	modeling	NOUN
cana-550	54	18	provide	provide	VERB
cana-550	54	19	excellent	excellent	ADJ
cana-550	54	20	results	result	NOUN
cana-550	54	21	when	when	SCONJ
cana-550	54	22	using	use	VERB
cana-550	54	23	a	a	DET
cana-550	54	24	machine	machine	NOUN
cana-550	54	25	learning	learning	NOUN
cana-550	54	26	technique	technique	NOUN
cana-550	54	27	to	to	PART
cana-550	54	28	predict	predict	VERB
cana-550	54	29	osa	osa	PROPN
cana-550	54	30	.	.	PUNCT
cana-550	55	1	as	as	ADP
cana-550	55	2	a	a	DET
cana-550	55	3	quick	quick	ADJ
cana-550	55	4	and	and	CCONJ
cana-550	55	5	inexpensive	inexpensive	ADJ
cana-550	55	6	supplementary	supplementary	ADJ
cana-550	55	7	tool	tool	NOUN
cana-550	55	8	,	,	PUNCT
cana-550	55	9	it	it	PRON
cana-550	55	10	might	might	AUX
cana-550	55	11	be	be	AUX
cana-550	55	12	used	use	VERB
cana-550	55	13	by	by	ADP
cana-550	55	14	doctors	doctor	NOUN
cana-550	55	15	or	or	CCONJ
cana-550	55	16	medical	medical	ADJ
cana-550	55	17	personnel	personnel	NOUN
cana-550	55	18	to	to	PART
cana-550	55	19	assess	assess	VERB
cana-550	55	20	individuals	individual	NOUN
cana-550	55	21	at	at	ADP
cana-550	55	22	high	high	ADJ
cana-550	55	23	risk	risk	NOUN
cana-550	55	24	of	of	ADP
cana-550	55	25	osa	osa	PROPN
cana-550	55	26	.	.	PUNCT
cana-550	55	27	manoochehri	manoochehri	PROPN
cana-550	55	28	,	,	PUNCT
cana-550	55	29	z.	z.	PROPN
cana-550	55	30	et	et	PROPN
cana-550	55	31	al	al	PROPN
cana-550	55	32	.	.	PUNCT
cana-550	56	1	[	[	X
cana-550	56	2	10	10	NUM
cana-550	56	3	]	]	AUX
cana-550	56	4	while	while	SCONJ
cana-550	56	5	comparing	compare	VERB
cana-550	56	6	the	the	DET
cana-550	56	7	two	two	NUM
cana-550	56	8	models	model	NOUN
cana-550	56	9	that	that	PRON
cana-550	56	10	were	be	AUX
cana-550	56	11	examined	examine	VERB
cana-550	56	12	,	,	PUNCT
cana-550	56	13	the	the	DET
cana-550	56	14	c5.0	c5.0	NOUN
cana-550	56	15	algorithm	algorithm	PROPN
cana-550	56	16	outperformed	outperformed	PROPN
cana-550	56	17	lrm	lrm	PROPN
cana-550	56	18	,	,	PUNCT
cana-550	56	19	which	which	PRON
cana-550	56	20	had	have	VERB
cana-550	56	21	an	an	DET
cana-550	56	22	accuracy	accuracy	NOUN
cana-550	56	23	of	of	ADP
cana-550	56	24	0.737	0.737	NUM
cana-550	56	25	and	and	CCONJ
cana-550	56	26	a	a	DET
cana-550	56	27	specificity	specificity	NOUN
cana-550	56	28	of	of	ADP
cana-550	56	29	0.78	0.78	NUM
cana-550	56	30	,	,	PUNCT
cana-550	56	31	compared	compare	VERB
cana-550	56	32	to	to	ADP
cana-550	56	33	another	another	DET
cana-550	56	34	model	model	NOUN
cana-550	56	35	.	.	PUNCT
cana-550	57	1	so	so	ADV
cana-550	57	2	,	,	PUNCT
cana-550	57	3	instead	instead	ADV
cana-550	57	4	of	of	ADP
cana-550	57	5	using	use	VERB
cana-550	57	6	psg	psg	PROPN
cana-550	57	7	,	,	PUNCT
cana-550	57	8	c5.0	c5.0	NOUN
cana-550	57	9	decision	decision	NOUN
cana-550	57	10	trees	tree	NOUN
cana-550	57	11	can	can	AUX
cana-550	57	12	be	be	AUX
cana-550	57	13	utilized	utilize	VERB
cana-550	57	14	to	to	PART
cana-550	57	15	diagnose	diagnose	VERB
cana-550	57	16	osa	osa	PROPN
cana-550	57	17	patients	patient	NOUN
cana-550	57	18	.	.	PUNCT
cana-550	58	1	mencar	mencar	NOUN
cana-550	58	2	,	,	PUNCT
cana-550	58	3	c.	c.	PROPN
cana-550	58	4	et	et	PROPN
cana-550	58	5	al	al	PROPN
cana-550	58	6	.	.	PUNCT
cana-550	59	1	[	[	X
cana-550	59	2	12	12	NUM
cana-550	59	3	]	]	X
cana-550	59	4	early	early	ADJ
cana-550	59	5	screening	screening	NOUN
cana-550	59	6	and	and	CCONJ
cana-550	59	7	diagnosis	diagnosis	NOUN
cana-550	59	8	of	of	ADP
cana-550	59	9	osas	osa	NOUN
cana-550	59	10	was	be	AUX
cana-550	59	11	essential	essential	ADJ
cana-550	59	12	for	for	ADP
cana-550	59	13	the	the	DET
cana-550	59	14	use	use	NOUN
cana-550	59	15	of	of	ADP
cana-550	59	16	an	an	DET
cana-550	59	17	efficient	efficient	ADJ
cana-550	59	18	treatment	treatment	NOUN
cana-550	59	19	for	for	ADP
cana-550	59	20	treating	treat	VERB
cana-550	59	21	the	the	DET
cana-550	59	22	illness	illness	NOUN
cana-550	59	23	.	.	PUNCT
cana-550	60	1	this	this	PRON
cana-550	60	2	can	can	AUX
cana-550	60	3	be	be	AUX
cana-550	60	4	achieved	achieve	VERB
cana-550	60	5	by	by	ADP
cana-550	60	6	addressing	address	VERB
cana-550	60	7	a	a	DET
cana-550	60	8	current	current	ADJ
cana-550	60	9	important	important	ADJ
cana-550	60	10	research	research	NOUN
cana-550	60	11	topic	topic	NOUN
cana-550	60	12	on	on	ADP
cana-550	60	13	how	how	SCONJ
cana-550	60	14	to	to	PART
cana-550	60	15	categorize	categorize	VERB
cana-550	60	16	individuals	individual	NOUN
cana-550	60	17	with	with	ADP
cana-550	60	18	a	a	DET
cana-550	60	19	probable	probable	ADJ
cana-550	60	20	diagnosis	diagnosis	NOUN
cana-550	60	21	of	of	ADP
cana-550	60	22	osas	osa	NOUN
cana-550	60	23	based	base	VERB
cana-550	60	24	on	on	ADP
cana-550	60	25	the	the	DET
cana-550	60	26	severity	severity	NOUN
cana-550	60	27	of	of	ADP
cana-550	60	28	their	their	PRON
cana-550	60	29	illness	illness	NOUN
cana-550	60	30	.	.	PUNCT
cana-550	61	1	onargan	onargan	NOUN
cana-550	61	2	,	,	PUNCT
cana-550	61	3	a.	a.	NOUN
cana-550	61	4	et	et	NOUN
cana-550	61	5	al	al	PROPN
cana-550	61	6	.	.	PUNCT
cana-550	62	1	[	[	X
cana-550	62	2	14	14	NUM
cana-550	62	3	]	]	PUNCT
cana-550	62	4	the	the	DET
cana-550	62	5	goal	goal	NOUN
cana-550	62	6	of	of	ADP
cana-550	62	7	this	this	DET
cana-550	62	8	study	study	NOUN
cana-550	62	9	was	be	AUX
cana-550	62	10	to	to	PART
cana-550	62	11	create	create	VERB
cana-550	62	12	a	a	DET
cana-550	62	13	signal	signal	ADJ
cana-550	62	14	processing	processing	NOUN
cana-550	62	15	method	method	NOUN
cana-550	62	16	that	that	PRON
cana-550	62	17	could	could	AUX
cana-550	62	18	use	use	VERB
cana-550	62	19	multi	multi	ADJ
cana-550	62	20	-	-	ADJ
cana-550	62	21	channel	channel	ADJ
cana-550	62	22	eeg	eeg	NOUN
cana-550	62	23	data	datum	NOUN
cana-550	62	24	to	to	PART
cana-550	62	25	distinguish	distinguish	VERB
cana-550	62	26	between	between	ADP
cana-550	62	27	individuals	individual	NOUN
cana-550	62	28	with	with	ADP
cana-550	62	29	apnea	apnea	NOUN
cana-550	62	30	and	and	CCONJ
cana-550	62	31	healthy	healthy	ADJ
cana-550	62	32	controls	control	NOUN
cana-550	62	33	.	.	PUNCT
cana-550	63	1	the	the	DET
cana-550	63	2	"	"	PUNCT
cana-550	63	3	emd	emd	X
cana-550	63	4	"	"	PUNCT
cana-550	63	5	method	method	NOUN
cana-550	63	6	,	,	PUNCT
cana-550	63	7	a	a	DET
cana-550	63	8	multivariate	multivariate	NOUN
cana-550	63	9	extension	extension	NOUN
cana-550	63	10	of	of	ADP
cana-550	63	11	the	the	DET
cana-550	63	12	popular	popular	ADJ
cana-550	63	13	signal	signal	NOUN
cana-550	63	14	separation	separation	NOUN
cana-550	63	15	technique	technique	NOUN
cana-550	63	16	,	,	PUNCT
cana-550	63	17	was	be	AUX
cana-550	63	18	used	use	VERB
cana-550	63	19	for	for	ADP
cana-550	63	20	the	the	DET
cana-550	63	21	eeg	eeg	PROPN
cana-550	63	22	signal	signal	NOUN
cana-550	63	23	analysis	analysis	NOUN
cana-550	63	24	.	.	PUNCT
cana-550	64	1	phan	phan	PROPN
cana-550	64	2	,	,	PUNCT
cana-550	64	3	h.	h.	PROPN
cana-550	64	4	et	et	PROPN
cana-550	64	5	al	al	PROPN
cana-550	64	6	.	.	PUNCT
cana-550	65	1	[	[	X
cana-550	65	2	16	16	NUM
cana-550	65	3	]	]	PUNCT
cana-550	65	4	the	the	DET
cana-550	65	5	author	author	NOUN
cana-550	65	6	provide	provide	VERB
cana-550	65	7	a	a	DET
cana-550	65	8	multi	multi	ADJ
cana-550	65	9	-	-	ADJ
cana-550	65	10	task	task	ADJ
cana-550	65	11	convolutional	convolutional	ADJ
cana-550	65	12	neural	neural	ADJ
cana-550	65	13	network	network	NOUN
cana-550	65	14	(	(	PUNCT
cana-550	65	15	cnn	cnn	PROPN
cana-550	65	16	)	)	PUNCT
cana-550	65	17	architecture	architecture	NOUN
cana-550	65	18	for	for	ADP
cana-550	65	19	automated	automate	VERB
cana-550	65	20	sleep	sleep	NOUN
cana-550	65	21	staging	staging	NOUN
cana-550	65	22	,	,	PUNCT
cana-550	65	23	which	which	PRON
cana-550	65	24	combines	combine	VERB
cana-550	65	25	categorization	categorization	NOUN
cana-550	65	26	and	and	CCONJ
cana-550	65	27	prediction	prediction	NOUN
cana-550	65	28	.	.	PUNCT
cana-550	66	1	the	the	DET
cana-550	66	2	goal	goal	NOUN
cana-550	66	3	of	of	ADP
cana-550	66	4	the	the	DET
cana-550	66	5	framework	framework	NOUN
cana-550	66	6	,	,	PUNCT
cana-550	66	7	which	which	PRON
cana-550	66	8	was	be	AUX
cana-550	66	9	driven	drive	VERB
cana-550	66	10	by	by	ADP
cana-550	66	11	the	the	DET
cana-550	66	12	interdependence	interdependence	NOUN
cana-550	66	13	of	of	ADP
cana-550	66	14	sleep	sleep	NOUN
cana-550	66	15	epochs	epoch	NOUN
cana-550	66	16	,	,	PUNCT
cana-550	66	17	was	be	AUX
cana-550	66	18	to	to	PART
cana-550	66	19	classify	classify	VERB
cana-550	66	20	an	an	DET
cana-550	66	21	input	input	NOUN
cana-550	66	22	epoch	epoch	NOUN
cana-550	66	23	and	and	CCONJ
cana-550	66	24	forecast	forecast	VERB
cana-550	66	25	its	its	PRON
cana-550	66	26	neighbors	neighbor	NOUN
cana-550	66	27	'	'	PART
cana-550	66	28	labels	label	NOUN
cana-550	66	29	in	in	ADP
cana-550	66	30	the	the	DET
cana-550	66	31	context	context	NOUN
cana-550	66	32	output	output	NOUN
cana-550	66	33	all	all	ADV
cana-550	66	34	at	at	ADP
cana-550	66	35	once	once	ADV
cana-550	66	36	.	.	PUNCT
cana-550	67	1	table	table	NOUN
cana-550	67	2	1	1	NUM
cana-550	67	3	:	:	PUNCT
cana-550	67	4	comparison	comparison	NOUN
cana-550	67	5	table	table	NOUN
cana-550	67	6	for	for	ADP
cana-550	67	7	sleep	sleep	NOUN
cana-550	67	8	apnea	apnea	NOUN
cana-550	67	9	prediction	prediction	NOUN
cana-550	67	10	methods	method	NOUN
cana-550	67	11	author	author	NOUN
cana-550	67	12	year	year	NOUN
cana-550	67	13	methodology	methodology	NOUN
cana-550	67	14	advantage	advantage	NOUN
cana-550	67	15	limitation	limitation	NOUN
cana-550	67	16	alimardani	alimardani	NOUN
cana-550	67	17	,	,	PUNCT
cana-550	67	18	m.	m.	NOUN
cana-550	67	19	,	,	PUNCT
cana-550	67	20	&	&	CCONJ
cana-550	67	21	de	de	PROPN
cana-550	67	22	moor	moor	PROPN
cana-550	67	23	,	,	PUNCT
cana-550	67	24	g.	g.	PROPN
cana-550	67	25	2021	2021	NUM
cana-550	67	26	svm	svm	VERB
cana-550	67	27	the	the	DET
cana-550	67	28	advantage	advantage	NOUN
cana-550	67	29	of	of	ADP
cana-550	67	30	this	this	DET
cana-550	67	31	study	study	NOUN
cana-550	67	32	lies	lie	VERB
cana-550	67	33	in	in	ADP
cana-550	67	34	its	its	PRON
cana-550	67	35	use	use	NOUN
cana-550	67	36	of	of	ADP
cana-550	67	37	eeg	eeg	NOUN
cana-550	67	38	signals	signal	NOUN
cana-550	67	39	to	to	PART
cana-550	67	40	not	not	PART
cana-550	67	41	only	only	ADV
cana-550	67	42	detect	detect	VERB
cana-550	67	43	apnea	apnea	NOUN
cana-550	67	44	episodes	episode	NOUN
cana-550	67	45	but	but	CCONJ
cana-550	67	46	also	also	ADV
cana-550	67	47	classify	classify	VERB
cana-550	67	48	their	their	PRON
cana-550	67	49	severity	severity	NOUN
cana-550	67	50	and	and	CCONJ
cana-550	67	51	types	type	NOUN
cana-550	67	52	accurately	accurately	ADV
cana-550	67	53	.	.	PUNCT
cana-550	68	1	the	the	DET
cana-550	68	2	research	research	NOUN
cana-550	68	3	has	have	VERB
cana-550	68	4	certain	certain	ADJ
cana-550	68	5	limitations	limitation	NOUN
cana-550	68	6	,	,	PUNCT
cana-550	68	7	one	one	NUM
cana-550	68	8	of	of	ADP
cana-550	68	9	which	which	PRON
cana-550	68	10	is	be	AUX
cana-550	68	11	that	that	SCONJ
cana-550	68	12	it	it	PRON
cana-550	68	13	only	only	ADV
cana-550	68	14	used	use	VERB
cana-550	68	15	25	25	NUM
cana-550	68	16	apnea	apnea	NOUN
cana-550	68	17	patients	patient	NOUN
cana-550	68	18	whose	whose	DET
cana-550	68	19	eeg	eeg	NOUN
cana-550	68	20	data	datum	NOUN
cana-550	68	21	were	be	AUX
cana-550	68	22	taken	take	VERB
cana-550	68	23	.	.	PUNCT
cana-550	69	1	johnson	johnson	PROPN
cana-550	69	2	et	et	PROPN
cana-550	69	3	al	al	PROPN
cana-550	69	4	.	.	PROPN
cana-550	69	5	2020	2020	NUM
cana-550	69	6	sleep	sleep	VERB
cana-550	69	7	apnea	apnea	NOUN
cana-550	69	8	prediction	prediction	NOUN
cana-550	69	9	model	model	NOUN
cana-550	69	10	developed	develop	VERB
cana-550	69	11	for	for	ADP
cana-550	69	12	african	african	ADJ
cana-550	69	13	americans	americans	PROPN
cana-550	69	14	develops	develop	VERB
cana-550	69	15	a	a	DET
cana-550	69	16	tailored	tailor	VERB
cana-550	69	17	prediction	prediction	NOUN
cana-550	69	18	model	model	NOUN
cana-550	69	19	for	for	ADP
cana-550	69	20	sleep	sleep	NOUN
cana-550	69	21	apnea	apnea	NOUN
cana-550	69	22	in	in	ADP
cana-550	69	23	a	a	DET
cana-550	69	24	specific	specific	ADJ
cana-550	69	25	demographic	demographic	ADJ
cana-550	69	26	group	group	NOUN
cana-550	69	27	,	,	PUNCT
cana-550	69	28	improving	improve	VERB
cana-550	69	29	accuracy	accuracy	NOUN
cana-550	69	30	and	and	CCONJ
cana-550	69	31	relevance	relevance	NOUN
cana-550	69	32	of	of	ADP
cana-550	69	33	diagnostic	diagnostic	ADJ
cana-550	69	34	tools	tool	NOUN
cana-550	69	35	.	.	PUNCT
cana-550	70	1	can	can	AUX
cana-550	70	2	lack	lack	VERB
cana-550	70	3	generalizability	generalizability	NOUN
cana-550	70	4	to	to	ADP
cana-550	70	5	other	other	ADJ
cana-550	70	6	populations	population	NOUN
cana-550	70	7	or	or	CCONJ
cana-550	70	8	ethnicities	ethnicity	NOUN
cana-550	70	9	,	,	PUNCT
cana-550	70	10	requires	require	VERB
cana-550	70	11	validation	validation	NOUN
cana-550	70	12	in	in	ADP
cana-550	70	13	diverse	diverse	ADJ
cana-550	70	14	cohorts	cohort	NOUN
cana-550	70	15	.	.	PUNCT
cana-550	71	1	mazzotti	mazzotti	PROPN
cana-550	71	2	et	et	PROPN
cana-550	71	3	al	al	PROPN
cana-550	71	4	.	.	PROPN
cana-550	71	5	2019	2019	NUM
cana-550	71	6	symptom	symptom	NOUN
cana-550	71	7	determines	determine	NOUN
cana-550	71	8	which	which	PRON
cana-550	71	9	focuses	focus	VERB
cana-550	71	10	on	on	ADP
cana-550	71	11	symptom	symptom	NOUN
cana-550	71	12	communications	communication	NOUN
cana-550	71	13	on	on	ADP
cana-550	71	14	applied	apply	VERB
cana-550	71	15	nonlinear	nonlinear	ADJ
cana-550	71	16	analysis	analysis	NOUN
cana-550	71	17	issn	issn	NOUN
cana-550	71	18	:	:	PUNCT
cana-550	71	19	1074	1074	NUM
cana-550	71	20	-	-	PUNCT
cana-550	71	21	133x	133x	NUM
cana-550	71	22	vol	vol	NOUN
cana-550	71	23	31	31	NUM
cana-550	71	24	no	no	NOUN
cana-550	71	25	.	.	NOUN
cana-550	71	26	2	2	NUM
cana-550	71	27	(	(	PUNCT
cana-550	71	28	2024	2024	NUM
cana-550	71	29	)	)	PUNCT
cana-550	71	30	273	273	NUM
cana-550	71	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	71	32	subtypes	subtype	NOUN
cana-550	71	33	of	of	ADP
cana-550	71	34	obstructive	obstructive	ADJ
cana-550	71	35	sleep	sleep	NOUN
cana-550	71	36	apnea	apnea	NOUN
cana-550	71	37	predict	predict	VERB
cana-550	71	38	incidence	incidence	NOUN
cana-550	71	39	of	of	ADP
cana-550	71	40	cardiovascular	cardiovascular	ADJ
cana-550	71	41	outcomes	outcome	NOUN
cana-550	71	42	subtypes	subtype	NOUN
cana-550	71	43	of	of	ADP
cana-550	71	44	sleep	sleep	NOUN
cana-550	71	45	apnea	apnea	NOUN
cana-550	71	46	symptoms	symptom	NOUN
cana-550	71	47	are	be	AUX
cana-550	71	48	associated	associate	VERB
cana-550	71	49	with	with	ADP
cana-550	71	50	worse	bad	ADJ
cana-550	71	51	cardiovascular	cardiovascular	ADJ
cana-550	71	52	outcomes	outcome	NOUN
cana-550	71	53	;	;	PUNCT
cana-550	71	54	this	this	DET
cana-550	71	55	information	information	NOUN
cana-550	71	56	can	can	AUX
cana-550	71	57	then	then	ADV
cana-550	71	58	be	be	AUX
cana-550	71	59	used	use	VERB
cana-550	71	60	to	to	PART
cana-550	71	61	develop	develop	VERB
cana-550	71	62	more	more	ADV
cana-550	71	63	tailored	tailor	VERB
cana-550	71	64	interventions	intervention	NOUN
cana-550	71	65	.	.	PUNCT
cana-550	72	1	subtypes	subtype	NOUN
cana-550	72	2	and	and	CCONJ
cana-550	72	3	cardiovascular	cardiovascular	ADJ
cana-550	72	4	outcomes	outcome	NOUN
cana-550	72	5	,	,	PUNCT
cana-550	72	6	can	can	AUX
cana-550	72	7	not	not	PART
cana-550	72	8	cover	cover	VERB
cana-550	72	9	all	all	DET
cana-550	72	10	aspects	aspect	NOUN
cana-550	72	11	of	of	ADP
cana-550	72	12	sleep	sleep	NOUN
cana-550	72	13	apnea	apnea	NOUN
cana-550	72	14	diagnosis	diagnosis	NOUN
cana-550	72	15	and	and	CCONJ
cana-550	72	16	management	management	NOUN
cana-550	72	17	.	.	PUNCT
cana-550	73	1	taghizadegan	taghizadegan	PROPN
cana-550	73	2	et	et	PROPN
cana-550	73	3	al	al	PROPN
cana-550	73	4	.	.	PROPN
cana-550	73	5	2021	2021	NUM
cana-550	73	6	obstructive	obstructive	ADJ
cana-550	73	7	sleep	sleep	NOUN
cana-550	73	8	apnea	apnea	NOUN
cana-550	73	9	event	event	NOUN
cana-550	73	10	prediction	prediction	NOUN
cana-550	73	11	using	use	VERB
cana-550	73	12	recurrence	recurrence	NOUN
cana-550	73	13	plots	plot	NOUN
cana-550	73	14	and	and	CCONJ
cana-550	73	15	cnns	cnn	NOUN
cana-550	73	16	utilizes	utilize	NOUN
cana-550	73	17	recurrence	recurrence	NOUN
cana-550	73	18	plots	plot	NOUN
cana-550	73	19	and	and	CCONJ
cana-550	73	20	cnns	cnn	NOUN
cana-550	73	21	for	for	ADP
cana-550	73	22	predicting	predict	VERB
cana-550	73	23	obstructive	obstructive	ADJ
cana-550	73	24	sleep	sleep	NOUN
cana-550	73	25	apnea	apnea	NOUN
cana-550	73	26	events	event	NOUN
cana-550	73	27	,	,	PUNCT
cana-550	73	28	providing	provide	VERB
cana-550	73	29	a	a	DET
cana-550	73	30	data	data	NOUN
cana-550	73	31	-	-	PUNCT
cana-550	73	32	driven	drive	VERB
cana-550	73	33	approach	approach	NOUN
cana-550	73	34	for	for	ADP
cana-550	73	35	event	event	NOUN
cana-550	73	36	detection	detection	NOUN
cana-550	73	37	.	.	PUNCT
cana-550	74	1	relies	rely	VERB
cana-550	74	2	on	on	ADP
cana-550	74	3	specific	specific	ADJ
cana-550	74	4	signal	signal	NOUN
cana-550	74	5	processing	processing	NOUN
cana-550	74	6	and	and	CCONJ
cana-550	74	7	machine	machine	NOUN
cana-550	74	8	learning	learn	VERB
cana-550	74	9	techniques	technique	NOUN
cana-550	74	10	,	,	PUNCT
cana-550	74	11	can	can	AUX
cana-550	74	12	require	require	VERB
cana-550	74	13	expertise	expertise	NOUN
cana-550	74	14	for	for	ADP
cana-550	74	15	implementation	implementation	NOUN
cana-550	74	16	and	and	CCONJ
cana-550	74	17	interpretation	interpretation	NOUN
cana-550	74	18	.	.	PUNCT
cana-550	75	1	alimardani	alimardani	PROPN
cana-550	75	2	&	&	CCONJ
cana-550	75	3	de	de	PROPN
cana-550	75	4	moor	moor	PROPN
cana-550	75	5	2021	2021	NUM
cana-550	75	6	automatic	automatic	ADJ
cana-550	75	7	classification	classification	NOUN
cana-550	75	8	of	of	ADP
cana-550	75	9	sleep	sleep	NOUN
cana-550	75	10	apnea	apnea	NOUN
cana-550	75	11	type	type	NOUN
cana-550	75	12	and	and	CCONJ
cana-550	75	13	severity	severity	NOUN
cana-550	75	14	using	use	VERB
cana-550	75	15	eeg	eeg	NOUN
cana-550	75	16	signals	signal	NOUN
cana-550	75	17	provides	provide	VERB
cana-550	75	18	an	an	DET
cana-550	75	19	automated	automate	VERB
cana-550	75	20	approach	approach	NOUN
cana-550	75	21	for	for	ADP
cana-550	75	22	classifying	classify	VERB
cana-550	75	23	sleep	sleep	NOUN
cana-550	75	24	apnea	apnea	NOUN
cana-550	75	25	types	type	NOUN
cana-550	75	26	and	and	CCONJ
cana-550	75	27	severity	severity	NOUN
cana-550	75	28	using	use	VERB
cana-550	75	29	eeg	eeg	NOUN
cana-550	75	30	signals	signal	NOUN
cana-550	75	31	,	,	PUNCT
cana-550	75	32	aiding	aid	VERB
cana-550	75	33	in	in	ADP
cana-550	75	34	accurate	accurate	ADJ
cana-550	75	35	diagnosis	diagnosis	NOUN
cana-550	75	36	and	and	CCONJ
cana-550	75	37	management	management	NOUN
cana-550	75	38	.	.	PUNCT
cana-550	76	1	limited	limit	VERB
cana-550	76	2	to	to	ADP
cana-550	76	3	eeg	eeg	NOUN
cana-550	76	4	-	-	PUNCT
cana-550	76	5	based	base	VERB
cana-550	76	6	classification	classification	NOUN
cana-550	76	7	,	,	PUNCT
cana-550	76	8	can	can	AUX
cana-550	76	9	not	not	PART
cana-550	76	10	capture	capture	VERB
cana-550	76	11	all	all	DET
cana-550	76	12	aspects	aspect	NOUN
cana-550	76	13	of	of	ADP
cana-550	76	14	sleep	sleep	NOUN
cana-550	76	15	apnea	apnea	NOUN
cana-550	76	16	diagnosis	diagnosis	NOUN
cana-550	76	17	such	such	ADJ
cana-550	76	18	as	as	ADP
cana-550	76	19	respiratory	respiratory	ADJ
cana-550	76	20	events	event	NOUN
cana-550	76	21	.	.	PUNCT
cana-550	77	1	2.1	2.1	NUM
cana-550	77	2	problem	problem	NOUN
cana-550	77	3	definition	definition	NOUN
cana-550	77	4	the	the	DET
cana-550	77	5	problem	problem	NOUN
cana-550	77	6	addressed	address	VERB
cana-550	77	7	in	in	ADP
cana-550	77	8	this	this	DET
cana-550	77	9	study	study	NOUN
cana-550	77	10	is	be	AUX
cana-550	77	11	the	the	DET
cana-550	77	12	need	need	NOUN
cana-550	77	13	for	for	ADP
cana-550	77	14	improved	improved	ADJ
cana-550	77	15	methods	method	NOUN
cana-550	77	16	of	of	ADP
cana-550	77	17	detecting	detect	VERB
cana-550	77	18	and	and	CCONJ
cana-550	77	19	predicting	predict	VERB
cana-550	77	20	sleep	sleep	NOUN
cana-550	77	21	apnea	apnea	NOUN
cana-550	77	22	.	.	PUNCT
cana-550	78	1	despite	despite	SCONJ
cana-550	78	2	being	be	AUX
cana-550	78	3	a	a	DET
cana-550	78	4	common	common	ADJ
cana-550	78	5	and	and	CCONJ
cana-550	78	6	serious	serious	ADJ
cana-550	78	7	sleep	sleep	NOUN
cana-550	78	8	disorder	disorder	NOUN
cana-550	78	9	with	with	ADP
cana-550	78	10	significant	significant	ADJ
cana-550	78	11	impact	impact	NOUN
cana-550	78	12	on	on	ADP
cana-550	78	13	patient	patient	ADJ
cana-550	78	14	outcomes	outcome	NOUN
cana-550	78	15	and	and	CCONJ
cana-550	78	16	quality	quality	NOUN
cana-550	78	17	of	of	ADP
cana-550	78	18	life	life	NOUN
cana-550	78	19	,	,	PUNCT
cana-550	78	20	accurate	accurate	ADJ
cana-550	78	21	detection	detection	NOUN
cana-550	78	22	remains	remain	VERB
cana-550	78	23	a	a	DET
cana-550	78	24	challenge	challenge	NOUN
cana-550	78	25	.	.	PUNCT
cana-550	79	1	the	the	DET
cana-550	79	2	study	study	NOUN
cana-550	79	3	aims	aim	VERB
cana-550	79	4	to	to	PART
cana-550	79	5	develop	develop	VERB
cana-550	79	6	an	an	DET
cana-550	79	7	advanced	advanced	ADJ
cana-550	79	8	approach	approach	NOUN
cana-550	79	9	using	use	VERB
cana-550	79	10	the	the	DET
cana-550	79	11	caswideresnet	caswideresnet	NOUN
cana-550	79	12	algorithm	algorithm	NOUN
cana-550	79	13	,	,	PUNCT
cana-550	79	14	combined	combine	VERB
cana-550	79	15	with	with	ADP
cana-550	79	16	z	z	NOUN
cana-550	79	17	-	-	PUNCT
cana-550	79	18	score	score	NOUN
cana-550	79	19	normalization	normalization	NOUN
cana-550	79	20	and	and	CCONJ
cana-550	79	21	an	an	DET
cana-550	79	22	improved	improved	ADJ
cana-550	79	23	pan	pan	ADJ
cana-550	79	24	-	-	ADJ
cana-550	79	25	tompkins	tompkin	NOUN
cana-550	79	26	algorithm	algorithm	NOUN
cana-550	79	27	for	for	ADP
cana-550	79	28	feature	feature	NOUN
cana-550	79	29	selection	selection	NOUN
cana-550	79	30	,	,	PUNCT
cana-550	79	31	to	to	PART
cana-550	79	32	enhance	enhance	VERB
cana-550	79	33	the	the	DET
cana-550	79	34	accuracy	accuracy	NOUN
cana-550	79	35	of	of	ADP
cana-550	79	36	sleep	sleep	NOUN
cana-550	79	37	apnea	apnea	VERB
cana-550	79	38	classification	classification	NOUN
cana-550	79	39	and	and	CCONJ
cana-550	79	40	prediction	prediction	NOUN
cana-550	79	41	.	.	PUNCT
cana-550	80	1	iii	iii	X
cana-550	80	2	.	.	PUNCT
cana-550	80	3	materials	material	NOUN
cana-550	80	4	and	and	CCONJ
cana-550	80	5	methods	method	NOUN
cana-550	80	6	research	research	NOUN
cana-550	80	7	papers	paper	NOUN
cana-550	80	8	and	and	CCONJ
cana-550	80	9	reports	report	NOUN
cana-550	80	10	often	often	ADV
cana-550	80	11	include	include	VERB
cana-550	80	12	in	in	ADP
cana-550	80	13	this	this	DET
cana-550	80	14	section	section	NOUN
cana-550	80	15	that	that	PRON
cana-550	80	16	details	detail	VERB
cana-550	80	17	the	the	DET
cana-550	80	18	procedures	procedure	NOUN
cana-550	80	19	used	use	VERB
cana-550	80	20	to	to	PART
cana-550	80	21	gather	gather	VERB
cana-550	80	22	data	datum	NOUN
cana-550	80	23	.	.	PUNCT
cana-550	81	1	the	the	DET
cana-550	81	2	research	research	NOUN
cana-550	81	3	process	process	NOUN
cana-550	81	4	is	be	AUX
cana-550	81	5	described	describe	VERB
cana-550	81	6	in	in	ADP
cana-550	81	7	great	great	ADJ
cana-550	81	8	detail	detail	NOUN
cana-550	81	9	so	so	SCONJ
cana-550	81	10	that	that	SCONJ
cana-550	81	11	readers	reader	NOUN
cana-550	81	12	can	can	AUX
cana-550	81	13	comprehend	comprehend	VERB
cana-550	81	14	and	and	CCONJ
cana-550	81	15	carry	carry	VERB
cana-550	81	16	out	out	ADP
cana-550	81	17	the	the	DET
cana-550	81	18	same	same	ADJ
cana-550	81	19	experiment	experiment	NOUN
cana-550	81	20	or	or	CCONJ
cana-550	81	21	study	study	NOUN
cana-550	81	22	.	.	PUNCT
cana-550	82	1	if	if	SCONJ
cana-550	82	2	the	the	DET
cana-550	82	3	study	study	NOUN
cana-550	82	4	’s	’s	PART
cana-550	82	5	findings	finding	NOUN
cana-550	82	6	are	be	AUX
cana-550	82	7	to	to	PART
cana-550	82	8	be	be	AUX
cana-550	82	9	believed	believe	VERB
cana-550	82	10	and	and	CCONJ
cana-550	82	11	replicated	replicate	VERB
cana-550	82	12	,	,	PUNCT
cana-550	82	13	this	this	DET
cana-550	82	14	part	part	NOUN
cana-550	82	15	is	be	AUX
cana-550	82	16	crucial	crucial	ADJ
cana-550	82	17	.	.	PUNCT
cana-550	83	1	communications	communication	NOUN
cana-550	83	2	on	on	ADP
cana-550	83	3	applied	apply	VERB
cana-550	83	4	nonlinear	nonlinear	ADJ
cana-550	83	5	analysis	analysis	NOUN
cana-550	83	6	issn	issn	NOUN
cana-550	83	7	:	:	PUNCT
cana-550	83	8	1074	1074	NUM
cana-550	83	9	-	-	PUNCT
cana-550	83	10	133x	133x	NUM
cana-550	83	11	vol	vol	NOUN
cana-550	83	12	31	31	NUM
cana-550	83	13	no	no	NOUN
cana-550	83	14	.	.	NOUN
cana-550	83	15	2	2	NUM
cana-550	83	16	(	(	PUNCT
cana-550	83	17	2024	2024	NUM
cana-550	83	18	)	)	PUNCT
cana-550	83	19	274	274	NUM
cana-550	83	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	83	21	figure	figure	NOUN
cana-550	83	22	1	1	NUM
cana-550	83	23	:	:	PUNCT
cana-550	83	24	overall	overall	ADJ
cana-550	83	25	architecture	architecture	NOUN
cana-550	83	26	3.1	3.1	NUM
cana-550	83	27	dataset	dataset	NOUN
cana-550	83	28	collection	collection	NOUN
cana-550	83	29	the	the	DET
cana-550	83	30	dataset	dataset	NOUN
cana-550	83	31	was	be	AUX
cana-550	83	32	collected	collect	VERB
cana-550	83	33	from	from	ADP
cana-550	83	34	kaggle	kaggle	ADJ
cana-550	83	35	website	website	NOUN
cana-550	83	36	https://www.kaggle.com/competitions/sleepapneadetection	https://www.kaggle.com/competitions/sleepapneadetection	PROPN
cana-550	83	37	3.2	3.2	NUM
cana-550	83	38	preprocessing	preprocessing	NOUN
cana-550	83	39	-	-	PUNCT
cana-550	83	40	zscore	zscore	NOUN
cana-550	83	41	normalization	normalization	NOUN
cana-550	83	42	data	data	PROPN
cana-550	83	43	pre	pre	ADJ
cana-550	83	44	-	-	ADJ
cana-550	83	45	processing	processing	NOUN
cana-550	83	46	is	be	AUX
cana-550	83	47	cleaning	clean	VERB
cana-550	83	48	up	up	ADP
cana-550	83	49	the	the	DET
cana-550	83	50	raw	raw	ADJ
cana-550	83	51	data	datum	NOUN
cana-550	83	52	before	before	ADP
cana-550	83	53	using	use	VERB
cana-550	83	54	it	it	PRON
cana-550	83	55	.	.	PUNCT
cana-550	84	1	simply	simply	ADV
cana-550	84	2	said	say	VERB
cana-550	84	3	,	,	PUNCT
cana-550	84	4	data	datum	NOUN
cana-550	84	5	obtained	obtain	VERB
cana-550	84	6	from	from	ADP
cana-550	84	7	various	various	ADJ
cana-550	84	8	input	input	NOUN
cana-550	84	9	characteristics	characteristic	NOUN
cana-550	84	10	is	be	AUX
cana-550	84	11	often	often	ADV
cana-550	84	12	obtained	obtain	VERB
cana-550	84	13	in	in	ADP
cana-550	84	14	an	an	DET
cana-550	84	15	unusable	unusable	ADJ
cana-550	84	16	raw	raw	ADJ
cana-550	84	17	format	format	NOUN
cana-550	84	18	,	,	PUNCT
cana-550	84	19	making	make	VERB
cana-550	84	20	analysis	analysis	NOUN
cana-550	84	21	a	a	DET
cana-550	84	22	challenging	challenging	ADJ
cana-550	84	23	task	task	NOUN
cana-550	84	24	.	.	PUNCT
cana-550	85	1	therefore	therefore	ADV
cana-550	85	2	,	,	PUNCT
cana-550	85	3	certain	certain	ADJ
cana-550	85	4	procedures	procedure	NOUN
cana-550	85	5	are	be	AUX
cana-550	85	6	followed	follow	VERB
cana-550	85	7	to	to	PART
cana-550	85	8	transform	transform	VERB
cana-550	85	9	the	the	DET
cana-550	85	10	data	datum	NOUN
cana-550	85	11	into	into	ADP
cana-550	85	12	an	an	DET
cana-550	85	13	accurate	accurate	ADJ
cana-550	85	14	dataset	dataset	NOUN
cana-550	85	15	.	.	PUNCT
cana-550	86	1	data	datum	NOUN
cana-550	86	2	pre	pre	ADJ
cana-550	86	3	-	-	ADJ
cana-550	86	4	processing	processing	NOUN
cana-550	86	5	is	be	AUX
cana-550	86	6	the	the	DET
cana-550	86	7	name	name	NOUN
cana-550	86	8	given	give	VERB
cana-550	86	9	to	to	ADP
cana-550	86	10	this	this	DET
cana-550	86	11	procedure	procedure	NOUN
cana-550	86	12	.	.	PUNCT
cana-550	87	1	data	datum	NOUN
cana-550	87	2	that	that	PRON
cana-550	87	3	is	be	AUX
cana-550	87	4	inconsistent	inconsistent	ADJ
cana-550	87	5	,	,	PUNCT
cana-550	87	6	noisy	noisy	ADJ
cana-550	87	7	,	,	PUNCT
cana-550	87	8	or	or	CCONJ
cana-550	87	9	missing	miss	VERB
cana-550	87	10	values	value	NOUN
cana-550	87	11	is	be	AUX
cana-550	87	12	common	common	ADJ
cana-550	87	13	in	in	ADP
cana-550	87	14	real	real	ADJ
cana-550	87	15	-	-	PUNCT
cana-550	87	16	world	world	NOUN
cana-550	87	17	datasets	dataset	NOUN
cana-550	87	18	,	,	PUNCT
cana-550	87	19	making	make	VERB
cana-550	87	20	it	it	PRON
cana-550	87	21	difficult	difficult	ADJ
cana-550	87	22	to	to	PART
cana-550	87	23	analyze	analyze	VERB
cana-550	87	24	them	they	PRON
cana-550	87	25	further	far	ADV
cana-550	87	26	.	.	PUNCT
cana-550	88	1	using	use	VERB
cana-550	88	2	the	the	DET
cana-550	88	3	z	z	NOUN
cana-550	88	4	-	-	PUNCT
cana-550	88	5	score	score	NOUN
cana-550	88	6	normalized	normalize	VERB
cana-550	88	7	data	datum	NOUN
cana-550	88	8	pre	pre	ADJ
cana-550	88	9	-	-	ADJ
cana-550	88	10	processing	processing	ADJ
cana-550	88	11	model	model	NOUN
cana-550	88	12	,	,	PUNCT
cana-550	88	13	we	we	PRON
cana-550	88	14	conduct	conduct	VERB
cana-550	88	15	missing	missing	ADJ
cana-550	88	16	value	value	NOUN
cana-550	88	17	analysis	analysis	NOUN
cana-550	88	18	to	to	PART
cana-550	88	19	improve	improve	VERB
cana-550	88	20	the	the	DET
cana-550	88	21	outcomes	outcome	NOUN
cana-550	88	22	of	of	ADP
cana-550	88	23	this	this	DET
cana-550	88	24	work	work	NOUN
cana-550	88	25	.	.	PUNCT
cana-550	89	1	to	to	PART
cana-550	89	2	fill	fill	VERB
cana-550	89	3	in	in	ADP
cana-550	89	4	the	the	DET
cana-550	89	5	blanks	blank	NOUN
cana-550	89	6	in	in	ADP
cana-550	89	7	the	the	DET
cana-550	89	8	database	database	NOUN
cana-550	89	9	,	,	PUNCT
cana-550	89	10	our	our	PRON
cana-550	89	11	study	study	NOUN
cana-550	89	12	makes	make	VERB
cana-550	89	13	use	use	NOUN
cana-550	89	14	of	of	ADP
cana-550	89	15	z	z	NOUN
cana-550	89	16	-	-	PUNCT
cana-550	89	17	score	score	NOUN
cana-550	89	18	normalized	normalize	VERB
cana-550	89	19	data	datum	NOUN
cana-550	89	20	pre	pre	ADJ
cana-550	89	21	-	-	NOUN
cana-550	89	22	processing	processing	NOUN
cana-550	89	23	.	.	PUNCT
cana-550	90	1	using	use	VERB
cana-550	90	2	the	the	DET
cana-550	90	3	formula	formula	NOUN
cana-550	90	4	score	score	NOUN
cana-550	90	5	deviation	deviation	NOUN
cana-550	90	6	/	/	SYM
cana-550	90	7	standard	standard	ADJ
cana-550	90	8	deviation	deviation	NOUN
cana-550	90	9	in	in	ADP
cana-550	90	10	a	a	DET
cana-550	90	11	database	database	NOUN
cana-550	90	12	,	,	PUNCT
cana-550	90	13	it	it	PRON
cana-550	90	14	is	be	AUX
cana-550	90	15	also	also	ADV
cana-550	90	16	used	use	VERB
cana-550	90	17	to	to	PART
cana-550	90	18	standardize	standardize	VERB
cana-550	90	19	scores	score	NOUN
cana-550	90	20	on	on	ADP
cana-550	90	21	the	the	DET
cana-550	90	22	same	same	ADJ
cana-550	90	23	scale	scale	NOUN
cana-550	90	24	.	.	PUNCT
cana-550	91	1	here	here	ADV
cana-550	91	2	we	we	PRON
cana-550	91	3	can	can	AUX
cana-550	91	4	get	get	VERB
cana-550	91	5	the	the	DET
cana-550	91	6	number	number	NOUN
cana-550	91	7	of	of	ADP
cana-550	91	8	standard	standard	ADJ
cana-550	91	9	deviations	deviation	NOUN
cana-550	91	10	for	for	ADP
cana-550	91	11	the	the	DET
cana-550	91	12	provided	provide	VERB
cana-550	91	13	data	data	NOUN
cana-550	91	14	point	point	NOUN
cana-550	91	15	from	from	ADP
cana-550	91	16	the	the	DET
cana-550	91	17	mean	mean	NOUN
cana-550	91	18	.	.	PUNCT
cana-550	92	1	a	a	DET
cana-550	92	2	schematic	schematic	ADJ
cana-550	92	3	of	of	ADP
cana-550	92	4	the	the	DET
cana-550	92	5	z	z	NOUN
cana-550	92	6	-	-	PUNCT
cana-550	92	7	score	score	NOUN
cana-550	92	8	normalized	normalize	VERB
cana-550	92	9	data	datum	NOUN
cana-550	92	10	preparation	preparation	NOUN
cana-550	92	11	model	model	NOUN
cana-550	92	12	is	be	AUX
cana-550	92	13	shown	show	VERB
cana-550	92	14	in	in	ADP
cana-550	92	15	fig	fig	NOUN
cana-550	92	16	.	.	PUNCT
cana-550	93	1	2	2	X
cana-550	93	2	.	.	X
cana-550	93	3	it	it	PRON
cana-550	93	4	is	be	AUX
cana-550	93	5	composed	compose	VERB
cana-550	93	6	of	of	ADP
cana-550	93	7	thirteen	thirteen	NUM
cana-550	93	8	characteristics	characteristic	NOUN
cana-550	93	9	,	,	PUNCT
cana-550	93	10	denoted	denote	VERB
cana-550	93	11	as	as	ADP
cana-550	93	12	'	'	PUNCT
cana-550	93	13	𝑛	𝑛	NOUN
cana-550	93	14	'	'	PUNCT
cana-550	93	15	,	,	PUNCT
cana-550	93	16	where	where	SCONJ
cana-550	93	17	'	'	PUNCT
cana-550	93	18	𝑛'=	𝑛'=	NOUN
cana-550	93	19	13	13	NUM
cana-550	93	20	'	'	NUM
cana-550	93	21	,	,	PUNCT
cana-550	93	22	and	and	CCONJ
cana-550	93	23	each	each	DET
cana-550	93	24	component	component	NOUN
cana-550	93	25	belongs	belong	VERB
cana-550	93	26	to	to	ADP
cana-550	93	27	one	one	NUM
cana-550	93	28	of	of	ADP
cana-550	93	29	three	three	NUM
cana-550	93	30	distinct	distinct	ADJ
cana-550	93	31	categories	category	NOUN
cana-550	93	32	,	,	PUNCT
cana-550	93	33	'	'	PUNCT
cana-550	93	34	𝑇=	𝑇=	PROPN
cana-550	93	35	𝑇1	𝑇1	NOUN
cana-550	93	36	,	,	PUNCT
cana-550	93	37	𝑇2	𝑇2	PROPN
cana-550	93	38	,	,	PUNCT
cana-550	93	39	𝑇3	𝑇3	PROPN
cana-550	93	40	'	'	PUNCT
cana-550	93	41	,	,	PUNCT
cana-550	93	42	which	which	PRON
cana-550	93	43	are	be	AUX
cana-550	93	44	objective	objective	ADJ
cana-550	93	45	,	,	PUNCT
cana-550	93	46	examination	examination	NOUN
cana-550	93	47	,	,	PUNCT
cana-550	93	48	and	and	CCONJ
cana-550	93	49	subjective	subjective	ADJ
cana-550	93	50	,	,	PUNCT
cana-550	93	51	respectively	respectively	ADV
cana-550	93	52	.	.	PUNCT
cana-550	94	1	https://www.kaggle.com/competitions/sleepapneadetection	https://www.kaggle.com/competitions/sleepapneadetection	NOUN
cana-550	94	2	communications	communication	NOUN
cana-550	94	3	on	on	ADP
cana-550	94	4	applied	apply	VERB
cana-550	94	5	nonlinear	nonlinear	ADJ
cana-550	94	6	analysis	analysis	NOUN
cana-550	94	7	issn	issn	NOUN
cana-550	94	8	:	:	PUNCT
cana-550	94	9	1074	1074	NUM
cana-550	94	10	-	-	PUNCT
cana-550	94	11	133x	133x	NUM
cana-550	94	12	vol	vol	NOUN
cana-550	94	13	31	31	NUM
cana-550	94	14	no	no	NOUN
cana-550	94	15	.	.	NOUN
cana-550	94	16	2	2	NUM
cana-550	94	17	(	(	PUNCT
cana-550	94	18	2024	2024	NUM
cana-550	94	19	)	)	PUNCT
cana-550	94	20	275	275	NUM
cana-550	94	21	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	94	22	𝑃𝑉𝑀	𝑃𝑉𝑀	PROPN
cana-550	94	23	=	=	PUNCT
cana-550	94	24	[	[	PUNCT
cana-550	94	25	𝑃11	𝑃11	PROPN
cana-550	94	26	𝑃12	𝑃12	ADP
cana-550	94	27	𝑃13	𝑃13	PROPN
cana-550	94	28	𝑃1𝑛	𝑃1𝑛	NOUN
cana-550	94	29	𝑃21	𝑃21	PROPN
cana-550	94	30	𝑃22	𝑃22	PROPN
cana-550	95	1	𝑃23	𝑃23	PROPN
cana-550	95	2	𝑃2𝑛	𝑃2𝑛	PROPN
cana-550	95	3	…	…	PUNCT
cana-550	95	4	𝑃𝑚1	𝑃𝑚1	NOUN
cana-550	95	5	…	…	PUNCT
cana-550	95	6	𝑃𝑚2	𝑃𝑚2	NOUN
cana-550	95	7	…	…	PUNCT
cana-550	95	8	𝑃𝑚3	𝑃𝑚3	NOUN
cana-550	95	9	…	…	PUNCT
cana-550	95	10	𝑃𝑚𝑛	𝑃𝑚𝑛	PROPN
cana-550	95	11	]	]	X
cana-550	95	12	--------(1	--------(1	NOUN
cana-550	95	13	)	)	PUNCT
cana-550	95	14	for	for	ADP
cana-550	95	15	instance	instance	NOUN
cana-550	95	16	,	,	PUNCT
cana-550	95	17	according	accord	VERB
cana-550	95	18	to	to	ADP
cana-550	95	19	eq	eq	PROPN
cana-550	95	20	.	.	PUNCT
cana-550	96	1	(	(	PUNCT
cana-550	96	2	1	1	NUM
cana-550	96	3	)	)	PUNCT
cana-550	96	4	,	,	PUNCT
cana-550	96	5	the	the	DET
cana-550	96	6	first	first	ADJ
cana-550	96	7	row	row	NOUN
cana-550	96	8	of	of	ADP
cana-550	96	9	the	the	DET
cana-550	96	10	data	datum	NOUN
cana-550	96	11	set	set	VERB
cana-550	96	12	for	for	ADP
cana-550	96	13	patient	patient	ADJ
cana-550	96	14	number	number	NOUN
cana-550	96	15	"	"	PUNCT
cana-550	96	16	1	1	NUM
cana-550	96	17	"	"	PUNCT
cana-550	96	18	is	be	AUX
cana-550	96	19	represented	represent	VERB
cana-550	96	20	by	by	ADP
cana-550	96	21	the	the	DET
cana-550	96	22	values	value	NOUN
cana-550	96	23	of	of	ADP
cana-550	96	24	features	feature	NOUN
cana-550	96	25	"	"	PUNCT
cana-550	96	26	𝑖	𝑖	INTJ
cana-550	96	27	"	"	PUNCT
cana-550	96	28	for	for	ADP
cana-550	96	29	the	the	DET
cana-550	96	30	feature	feature	NOUN
cana-550	96	31	"	"	PUNCT
cana-550	96	32	𝑖	𝑖	X
cana-550	96	33	"	"	PUNCT
cana-550	96	34	associated	associate	VERB
cana-550	96	35	with	with	ADP
cana-550	96	36	patient	patient	ADJ
cana-550	96	37	number	number	NOUN
cana-550	96	38	"	"	PUNCT
cana-550	96	39	1	1	NUM
cana-550	96	40	,	,	PUNCT
cana-550	96	41	"	"	PUNCT
cana-550	96	42	and	and	CCONJ
cana-550	96	43	the	the	DET
cana-550	96	44	subsequent	subsequent	ADJ
cana-550	96	45	rows	row	NOUN
cana-550	96	46	are	be	AUX
cana-550	96	47	labeled	label	VERB
cana-550	96	48	"	"	PUNCT
cana-550	96	49	p11	p11	ADJ
cana-550	96	50	,	,	PUNCT
cana-550	96	51	p12	p12	NOUN
cana-550	96	52	,	,	PUNCT
cana-550	96	53	p13	p13	NOUN
cana-550	96	54	,	,	PUNCT
cana-550	96	55	and	and	CCONJ
cana-550	96	56	p1n	p1n	PROPN
cana-550	96	57	.	.	PUNCT
cana-550	96	58	"	"	PUNCT
cana-550	97	1	standard	standard	ADJ
cana-550	97	2	deviation	deviation	NOUN
cana-550	97	3	of	of	ADP
cana-550	97	4	features	feature	NOUN
cana-550	97	5	(	(	PUNCT
cana-550	97	6	𝜎	𝜎	X
cana-550	97	7	)	)	PUNCT
cana-550	97	8	=	=	SYM
cana-550	98	1	√	√	PROPN
cana-550	98	2	∑	∑	INTJ
cana-550	98	3	(	(	PUNCT
cana-550	98	4	𝐹𝑖−𝜇𝑖)𝑛	𝐹𝑖−𝜇𝑖)𝑛	NUM
cana-550	98	5	𝑖=1	𝑖=1	NUM
cana-550	98	6	𝑛	𝑛	PROPN
cana-550	98	7	----------------(2	----------------(2	NOUN
cana-550	98	8	)	)	PUNCT
cana-550	98	9	each	each	DET
cana-550	98	10	feature	feature	NOUN
cana-550	98	11	's	's	PART
cana-550	98	12	value	value	NOUN
cana-550	98	13	'	'	PUNCT
cana-550	98	14	𝐹𝑖'and	𝐹𝑖'and	NOUN
cana-550	98	15	the	the	DET
cana-550	98	16	mean	mean	NOUN
cana-550	98	17	of	of	ADP
cana-550	98	18	features	feature	NOUN
cana-550	98	19	𝜇𝑖	𝜇𝑖	ADP
cana-550	98	20	'	'	PUNCT
cana-550	98	21	relative	relative	ADJ
cana-550	98	22	to	to	ADP
cana-550	98	23	the	the	DET
cana-550	98	24	total	total	ADJ
cana-550	98	25	number	number	NOUN
cana-550	98	26	of	of	ADP
cana-550	98	27	features	feature	NOUN
cana-550	98	28	𝑛	𝑛	PROPN
cana-550	98	29	'	'	PUNCT
cana-550	98	30	are	be	AUX
cana-550	98	31	used	use	VERB
cana-550	98	32	to	to	PART
cana-550	98	33	estimate	estimate	VERB
cana-550	98	34	the	the	DET
cana-550	98	35	standard	standard	ADJ
cana-550	98	36	deviation	deviation	NOUN
cana-550	98	37	of	of	ADP
cana-550	98	38	the	the	DET
cana-550	98	39	overall	overall	ADJ
cana-550	98	40	patient	patient	ADJ
cana-550	98	41	vector	vector	NOUN
cana-550	98	42	matrix	matrix	NOUN
cana-550	98	43	,	,	PUNCT
cana-550	98	44	as	as	SCONJ
cana-550	98	45	shown	show	VERB
cana-550	98	46	in	in	ADP
cana-550	98	47	eq	eq	ADP
cana-550	98	48	.	.	PUNCT
cana-550	99	1	(	(	PUNCT
cana-550	99	2	3	3	NUM
cana-550	99	3	)	)	PUNCT
cana-550	99	4	.	.	PUNCT
cana-550	100	1	after	after	ADP
cana-550	100	2	that	that	PRON
cana-550	100	3	,	,	PUNCT
cana-550	100	4	we	we	PRON
cana-550	100	5	can	can	AUX
cana-550	100	6	estimate	estimate	VERB
cana-550	100	7	each	each	DET
cana-550	100	8	feature	feature	NOUN
cana-550	100	9	's	's	PART
cana-550	100	10	log	log	NOUN
cana-550	100	11	-	-	PUNCT
cana-550	100	12	transformed	transform	VERB
cana-550	100	13	z	z	NOUN
cana-550	100	14	-	-	PUNCT
cana-550	100	15	score	score	NOUN
cana-550	100	16	function	function	NOUN
cana-550	100	17	using	use	VERB
cana-550	100	18	the	the	DET
cana-550	100	19	formula	formula	NOUN
cana-550	100	20	below	below	ADV
cana-550	100	21	.	.	PUNCT
cana-550	101	1	𝑍	𝑍	VERB
cana-550	101	2	−	−	PROPN
cana-550	101	3	𝑠𝑐𝑜𝑟𝑒(𝐿𝑇	𝑠𝑐𝑜𝑟𝑒(𝐿𝑇	NOUN
cana-550	101	4	)	)	PUNCT
cana-550	101	5	=	=	SYM
cana-550	101	6	1𝑛(𝐹𝑖𝑗)−1𝑛(𝜇𝑖	1𝑛(𝐹𝑖𝑗)−1𝑛(𝜇𝑖	NUM
cana-550	101	7	)	)	PUNCT
cana-550	101	8	𝜎[1𝑛(𝐹𝑖	𝜎[1𝑛(𝐹𝑖	VERB
cana-550	101	9	)	)	PUNCT
cana-550	101	10	]	]	PUNCT
cana-550	102	1	--------------(3	--------------(3	PROPN
cana-550	102	2	)	)	PUNCT
cana-550	102	3	as	as	ADP
cana-550	102	4	a	a	DET
cana-550	102	5	general	general	ADJ
cana-550	102	6	rule	rule	NOUN
cana-550	102	7	,	,	PUNCT
cana-550	102	8	if	if	SCONJ
cana-550	102	9	the	the	DET
cana-550	102	10	length	length	NOUN
cana-550	102	11	is	be	AUX
cana-550	102	12	smaller	small	ADJ
cana-550	102	13	than	than	ADP
cana-550	102	14	the	the	DET
cana-550	102	15	maximum	maximum	ADJ
cana-550	102	16	limit	limit	NOUN
cana-550	102	17	,	,	PUNCT
cana-550	102	18	then	then	ADV
cana-550	102	19	the	the	DET
cana-550	102	20	z	z	NOUN
cana-550	102	21	-	-	PUNCT
cana-550	102	22	score	score	NOUN
cana-550	102	23	is	be	AUX
cana-550	102	24	at	at	ADV
cana-550	102	25	least	least	ADJ
cana-550	102	26	one	one	NUM
cana-550	102	27	standard	standard	ADJ
cana-550	102	28	deviation	deviation	NOUN
cana-550	102	29	higher	high	ADJ
cana-550	102	30	than	than	ADP
cana-550	102	31	the	the	DET
cana-550	102	32	mean	mean	NOUN
cana-550	102	33	.	.	PUNCT
cana-550	103	1	after	after	ADP
cana-550	103	2	normalizing	normalize	VERB
cana-550	103	3	the	the	DET
cana-550	103	4	data	datum	NOUN
cana-550	103	5	,	,	PUNCT
cana-550	103	6	log	log	PROPN
cana-550	103	7	transformed	transform	VERB
cana-550	103	8	z	z	NOUN
cana-550	103	9	-	-	PUNCT
cana-550	103	10	scores	score	NOUN
cana-550	103	11	are	be	AUX
cana-550	103	12	shown	show	VERB
cana-550	103	13	below	below	ADP
cana-550	103	14	in	in	ADP
cana-550	103	15	pseudo	pseudo	NOUN
cana-550	103	16	code	code	NOUN
cana-550	103	17	form	form	NOUN
cana-550	103	18	.	.	PUNCT
cana-550	104	1	the	the	DET
cana-550	104	2	goal	goal	NOUN
cana-550	104	3	of	of	ADP
cana-550	104	4	pre	pre	ADJ
cana-550	104	5	-	-	ADJ
cana-550	104	6	processing	process	VERB
cana-550	104	7	the	the	DET
cana-550	104	8	raw	raw	ADJ
cana-550	104	9	information	information	NOUN
cana-550	104	10	for	for	ADP
cana-550	104	11	sleep	sleep	NOUN
cana-550	104	12	apnea	apnea	NOUN
cana-550	104	13	disease	disease	NOUN
cana-550	104	14	with	with	ADP
cana-550	104	15	enhanced	enhanced	ADJ
cana-550	104	16	accuracy	accuracy	NOUN
cana-550	104	17	and	and	CCONJ
cana-550	104	18	speed	speed	NOUN
cana-550	104	19	to	to	PART
cana-550	104	20	predict	predict	VERB
cana-550	104	21	heart	heart	NOUN
cana-550	104	22	disease	disease	NOUN
cana-550	104	23	stays	stay	VERB
cana-550	104	24	the	the	DET
cana-550	104	25	same	same	ADJ
cana-550	104	26	as	as	ADP
cana-550	104	27	in	in	ADP
cana-550	104	28	the	the	DET
cana-550	104	29	previous	previous	ADJ
cana-550	104	30	method	method	NOUN
cana-550	104	31	.	.	PUNCT
cana-550	105	1	here	here	ADV
cana-550	105	2	,	,	PUNCT
cana-550	105	3	the	the	DET
cana-550	105	4	missing	miss	VERB
cana-550	105	5	values	value	NOUN
cana-550	105	6	are	be	AUX
cana-550	105	7	filled	fill	VERB
cana-550	105	8	in	in	ADP
cana-550	105	9	using	use	VERB
cana-550	105	10	z	z	NOUN
cana-550	105	11	-	-	PUNCT
cana-550	105	12	score	score	NOUN
cana-550	105	13	log	log	NOUN
cana-550	105	14	-	-	PUNCT
cana-550	105	15	transformation	transformation	NOUN
cana-550	105	16	as	as	ADP
cana-550	105	17	part	part	NOUN
cana-550	105	18	of	of	ADP
cana-550	105	19	the	the	DET
cana-550	105	20	pre	pre	NOUN
cana-550	105	21	-	-	NOUN
cana-550	105	22	processing	processing	NOUN
cana-550	105	23	.	.	PUNCT
cana-550	106	1	after	after	ADP
cana-550	106	2	that	that	PRON
cana-550	106	3	,	,	PUNCT
cana-550	106	4	we	we	PRON
cana-550	106	5	assess	assess	VERB
cana-550	106	6	the	the	DET
cana-550	106	7	lower	low	ADJ
cana-550	106	8	and	and	CCONJ
cana-550	106	9	higher	high	ADJ
cana-550	106	10	limits	limit	NOUN
cana-550	106	11	using	use	VERB
cana-550	106	12	the	the	DET
cana-550	106	13	initialized	initialize	VERB
cana-550	106	14	lower	low	ADJ
cana-550	106	15	and	and	CCONJ
cana-550	106	16	upper	upper	ADJ
cana-550	106	17	thresholds	threshold	NOUN
cana-550	106	18	,	,	PUNCT
cana-550	106	19	and	and	CCONJ
cana-550	106	20	we	we	PRON
cana-550	106	21	normalize	normalize	VERB
cana-550	106	22	the	the	DET
cana-550	106	23	log	log	NOUN
cana-550	106	24	-	-	PUNCT
cana-550	106	25	transformed	transform	VERB
cana-550	106	26	z	z	NOUN
cana-550	106	27	-	-	PUNCT
cana-550	106	28	score	score	NOUN
cana-550	106	29	function	function	NOUN
cana-550	106	30	.	.	PUNCT
cana-550	107	1	lastly	lastly	ADV
cana-550	107	2	,	,	PUNCT
cana-550	107	3	this	this	PRON
cana-550	107	4	is	be	AUX
cana-550	107	5	used	use	VERB
cana-550	107	6	to	to	PART
cana-550	107	7	standardize	standardize	VERB
cana-550	107	8	the	the	DET
cana-550	107	9	various	various	ADJ
cana-550	107	10	patient	patient	ADJ
cana-550	107	11	characteristics	characteristic	NOUN
cana-550	107	12	and	and	CCONJ
cana-550	107	13	convert	convert	VERB
cana-550	107	14	them	they	PRON
cana-550	107	15	to	to	ADP
cana-550	107	16	the	the	DET
cana-550	107	17	same	same	ADJ
cana-550	107	18	magnitude	magnitude	NOUN
cana-550	107	19	.	.	PUNCT
cana-550	108	1	using	use	VERB
cana-550	108	2	this	this	DET
cana-550	108	3	method	method	NOUN
cana-550	108	4	helps	help	VERB
cana-550	108	5	improve	improve	VERB
cana-550	108	6	the	the	DET
cana-550	108	7	accuracy	accuracy	NOUN
cana-550	108	8	and	and	CCONJ
cana-550	108	9	speed	speed	NOUN
cana-550	108	10	of	of	ADP
cana-550	108	11	heart	heart	NOUN
cana-550	108	12	disease	disease	NOUN
cana-550	108	13	prediction	prediction	NOUN
cana-550	108	14	by	by	ADP
cana-550	108	15	ensuring	ensure	VERB
cana-550	108	16	that	that	SCONJ
cana-550	108	17	the	the	DET
cana-550	108	18	findings	finding	NOUN
cana-550	108	19	are	be	AUX
cana-550	108	20	independent	independent	ADJ
cana-550	108	21	on	on	ADP
cana-550	108	22	the	the	DET
cana-550	108	23	data	datum	NOUN
cana-550	108	24	's	's	PART
cana-550	108	25	size	size	NOUN
cana-550	108	26	;	;	PUNCT
cana-550	108	27	this	this	PRON
cana-550	108	28	is	be	AUX
cana-550	108	29	because	because	SCONJ
cana-550	108	30	the	the	DET
cana-550	108	31	algorithm	algorithm	NOUN
cana-550	108	32	's	's	PART
cana-550	108	33	sole	sole	ADJ
cana-550	108	34	function	function	NOUN
cana-550	108	35	is	be	AUX
cana-550	108	36	to	to	PART
cana-550	108	37	reject	reject	VERB
cana-550	108	38	the	the	DET
cana-550	108	39	quantity	quantity	NOUN
cana-550	108	40	.	.	PUNCT
cana-550	109	1	data	datum	NOUN
cana-550	109	2	normalization	normalization	NOUN
cana-550	109	3	is	be	AUX
cana-550	109	4	a	a	DET
cana-550	109	5	preprocessing	preprocessing	NOUN
cana-550	109	6	step	step	NOUN
cana-550	109	7	that	that	PRON
cana-550	109	8	involves	involve	VERB
cana-550	109	9	decomposing	decompose	VERB
cana-550	109	10	data	datum	NOUN
cana-550	109	11	into	into	ADP
cana-550	109	12	its	its	PRON
cana-550	109	13	component	component	NOUN
cana-550	109	14	numerical	numerical	ADJ
cana-550	109	15	properties	property	NOUN
cana-550	109	16	in	in	ADP
cana-550	109	17	order	order	NOUN
cana-550	109	18	to	to	PART
cana-550	109	19	provide	provide	VERB
cana-550	109	20	a	a	DET
cana-550	109	21	range	range	NOUN
cana-550	109	22	of	of	ADP
cana-550	109	23	acceptable	acceptable	ADJ
cana-550	109	24	values	value	NOUN
cana-550	109	25	.	.	PUNCT
cana-550	110	1	normalization	normalization	NOUN
cana-550	110	2	via	via	ADP
cana-550	110	3	decimal	decimal	ADJ
cana-550	110	4	scaling	scaling	NOUN
cana-550	110	5	,	,	PUNCT
cana-550	110	6	z	z	NOUN
cana-550	110	7	-	-	PUNCT
cana-550	110	8	score	score	NOUN
cana-550	110	9	normalization	normalization	NOUN
cana-550	110	10	and	and	CCONJ
cana-550	110	11	min	min	PROPN
cana-550	110	12	-	-	ADJ
cana-550	110	13	max	max	PROPN
cana-550	110	14	normalization	normalization	NOUN
cana-550	110	15	are	be	AUX
cana-550	110	16	some	some	PRON
cana-550	110	17	of	of	ADP
cana-550	110	18	the	the	DET
cana-550	110	19	most	most	ADV
cana-550	110	20	common	common	ADJ
cana-550	110	21	approaches	approach	NOUN
cana-550	110	22	used	use	VERB
cana-550	110	23	for	for	ADP
cana-550	110	24	this	this	DET
cana-550	110	25	purpose	purpose	NOUN
cana-550	110	26	.	.	PUNCT
cana-550	111	1	equation	equation	NOUN
cana-550	111	2	4	4	NUM
cana-550	111	3	shows	show	VERB
cana-550	111	4	how	how	SCONJ
cana-550	111	5	z	z	NOUN
cana-550	111	6	-	-	PUNCT
cana-550	111	7	score	score	NOUN
cana-550	111	8	normalization	normalization	NOUN
cana-550	111	9	expands	expand	VERB
cana-550	111	10	the	the	DET
cana-550	111	11	previously	previously	ADV
cana-550	111	12	unknown	unknown	ADJ
cana-550	111	13	range	range	NOUN
cana-550	111	14	of	of	ADP
cana-550	111	15	values	value	NOUN
cana-550	111	16	for	for	ADP
cana-550	111	17	the	the	DET
cana-550	111	18	𝑣𝑖	𝑣𝑖	PROPN
cana-550	111	19	attribute	attribute	NOUN
cana-550	111	20	from	from	ADP
cana-550	111	21	e	e	NOUN
cana-550	111	22	to𝑣.	to𝑣.	X
cana-550	111	23	𝑣	𝑣	X
cana-550	111	24	,	,	PUNCT
cana-550	111	25	=	=	PROPN
cana-550	111	26	𝑣𝑖−𝐸𝑖	𝑣𝑖−𝐸𝑖	PROPN
cana-550	111	27	𝑠𝑡𝑑(𝐸	𝑠𝑡𝑑(𝐸	PROPN
cana-550	111	28	)	)	PUNCT
cana-550	111	29	-----------------(4	-----------------(4	NOUN
cana-550	111	30	)	)	PUNCT
cana-550	111	31	description	description	NOUN
cana-550	111	32	:	:	PUNCT
cana-550	111	33	𝑣	𝑣	X
cana-550	111	34	,	,	PUNCT
cana-550	111	35	=	=	SYM
cana-550	111	36	outcome	outcome	NOUN
cana-550	111	37	of	of	ADP
cana-550	111	38	the	the	DET
cana-550	111	39	standardization	standardization	NOUN
cana-550	111	40	parameter	parameter	NOUN
cana-550	111	41	𝑣	𝑣	ADP
cana-550	111	42	=	=	PUNCT
cana-550	111	43	the	the	DET
cana-550	111	44	attribute	attribute	NOUN
cana-550	111	45	's	's	PART
cana-550	111	46	value	value	NOUN
cana-550	111	47	that	that	PRON
cana-550	111	48	has	have	VERB
cana-550	111	49	to	to	PART
cana-550	111	50	be	be	AUX
cana-550	111	51	normalized	normalize	VERB
cana-550	111	52	𝐸𝑖	𝐸𝑖	PROPN
cana-550	111	53	=	=	PUNCT
cana-550	111	54	the	the	DET
cana-550	111	55	average	average	ADJ
cana-550	111	56	worth	worth	NOUN
cana-550	111	57	of	of	ADP
cana-550	111	58	the	the	DET
cana-550	111	59	property	property	NOUN
cana-550	111	60	𝑠𝑡𝑑(𝐸	𝑠𝑡𝑑(𝐸	PROPN
cana-550	111	61	)	)	PUNCT
cana-550	111	62	=	=	SYM
cana-550	112	1	characteristic	characteristic	ADJ
cana-550	112	2	of	of	ADP
cana-550	112	3	standard	standard	ADJ
cana-550	112	4	deviation	deviation	NOUN
cana-550	112	5	e	e	NOUN
cana-550	112	6	communications	communication	NOUN
cana-550	112	7	on	on	ADP
cana-550	112	8	applied	apply	VERB
cana-550	112	9	nonlinear	nonlinear	ADJ
cana-550	112	10	analysis	analysis	NOUN
cana-550	112	11	issn	issn	NOUN
cana-550	112	12	:	:	PUNCT
cana-550	112	13	1074	1074	NUM
cana-550	112	14	-	-	PUNCT
cana-550	112	15	133x	133x	NUM
cana-550	112	16	vol	vol	NOUN
cana-550	112	17	31	31	NUM
cana-550	112	18	no	no	NOUN
cana-550	112	19	.	.	NOUN
cana-550	112	20	2	2	NUM
cana-550	112	21	(	(	PUNCT
cana-550	112	22	2024	2024	NUM
cana-550	112	23	)	)	PUNCT
cana-550	112	24	276	276	NUM
cana-550	112	25	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-550	112	26	3.3	3.3	NUM
cana-550	112	27	feature	feature	NOUN
cana-550	112	28	selection	selection	NOUN
cana-550	112	29	using	use	VERB
cana-550	112	30	improved	improved	ADJ
cana-550	112	31	pan	pan	NOUN
cana-550	112	32	–	–	PUNCT
cana-550	112	33	tompkins	tompkins	PROPN
cana-550	112	34	algorithm	algorithm	NOUN
cana-550	112	35	one	one	NUM
cana-550	112	36	method	method	NOUN
cana-550	112	37	for	for	ADP
cana-550	112	38	processing	processing	NOUN
cana-550	112	39	data	datum	NOUN
cana-550	112	40	is	be	AUX
cana-550	112	41	the	the	DET
cana-550	112	42	enhanced	enhance	VERB
cana-550	112	43	pan	pan	NOUN
cana-550	112	44	-	-	ADJ
cana-550	112	45	tompkins	tompkin	NOUN
cana-550	112	46	algorithm	algorithm	NOUN
cana-550	112	47	,	,	PUNCT
cana-550	112	48	which	which	PRON
cana-550	112	49	is	be	AUX
cana-550	112	50	mainly	mainly	ADV
cana-550	112	51	used	use	VERB
cana-550	112	52	for	for	ADP
cana-550	112	53	the	the	DET
cana-550	112	54	purpose	purpose	NOUN
cana-550	112	55	of	of	ADP
cana-550	112	56	detecting	detect	VERB
cana-550	112	57	qrs	qrs	NOUN
cana-550	112	58	complexes	complex	NOUN
cana-550	112	59	in	in	ADP
cana-550	112	60	ecg	ecg	PROPN
cana-550	112	61	signals	signal	NOUN
cana-550	112	62	.	.	PUNCT
cana-550	113	1	by	by	ADP
cana-550	113	2	improving	improve	VERB
cana-550	113	3	the	the	DET
cana-550	113	4	feature	feature	NOUN
cana-550	113	5	extraction	extraction	NOUN
cana-550	113	6	process	process	NOUN
cana-550	113	7	or	or	CCONJ
cana-550	113	8	adding	add	VERB
cana-550	113	9	new	new	ADJ
cana-550	113	10	preprocessing	preprocessing	NOUN
cana-550	113	11	stages	stage	NOUN
cana-550	113	12	,	,	PUNCT
cana-550	113	13	it	it	PRON
cana-550	113	14	improves	improve	VERB
cana-550	113	15	upon	upon	SCONJ
cana-550	113	16	the	the	DET
cana-550	113	17	original	original	ADJ
cana-550	113	18	pan	pan	ADJ
cana-550	113	19	-	-	ADJ
cana-550	113	20	tompkins	tompkin	NOUN
cana-550	113	21	technique	technique	NOUN
cana-550	113	22	.	.	PUNCT
cana-550	114	1	in	in	ADP
cana-550	114	2	order	order	NOUN
cana-550	114	3	to	to	PART
cana-550	114	4	perform	perform	VERB
cana-550	114	5	tasks	task	NOUN
cana-550	114	6	such	such	ADJ
cana-550	114	7	as	as	ADP
cana-550	114	8	arrhythmia	arrhythmia	NOUN
cana-550	114	9	diagnosis	diagnosis	NOUN
cana-550	114	10	or	or	CCONJ
cana-550	114	11	heart	heart	NOUN
cana-550	114	12	rate	rate	NOUN
cana-550	114	13	variability	variability	NOUN
cana-550	114	14	analysis	analysis	NOUN
cana-550	114	15	,	,	PUNCT
cana-550	114	16	this	this	DET
cana-550	114	17	enhanced	enhanced	ADJ
cana-550	114	18	algorithm	algorithm	NOUN
cana-550	114	19	's	's	PART
cana-550	114	20	feature	feature	NOUN
cana-550	114	21	selection	selection	NOUN
cana-550	114	22	process	process	NOUN
cana-550	114	23	entails	entail	VERB
cana-550	114	24	selecting	select	VERB
cana-550	114	25	the	the	DET
cana-550	114	26	most	most	ADV
cana-550	114	27	useful	useful	ADJ
cana-550	114	28	features	feature	NOUN
cana-550	114	29	retrieved	retrieve	VERB
cana-550	114	30	from	from	ADP
cana-550	114	31	the	the	DET
cana-550	114	32	ecg	ecg	PROPN
cana-550	114	33	signal	signal	NOUN
cana-550	114	34	.	.	PUNCT
cana-550	115	1	the	the	DET
cana-550	115	2	first	first	ADJ
cana-550	115	3	step	step	NOUN
cana-550	115	4	was	be	AUX
cana-550	115	5	to	to	PART
cana-550	115	6	use	use	VERB
cana-550	115	7	the	the	DET
cana-550	115	8	butterworth	butterworth	PROPN
cana-550	115	9	band	band	NOUN
cana-550	115	10	-	-	PUNCT
cana-550	115	11	pass	pass	VERB
cana-550	115	12	filter	filter	NOUN
cana-550	115	13	to	to	PART
cana-550	115	14	limit	limit	VERB
cana-550	115	15	the	the	DET
cana-550	115	16	ecg	ecg	PROPN
cana-550	115	17	signal	signal	NOUN
cana-550	115	18	to	to	ADP
cana-550	115	19	a	a	DET
cana-550	115	20	frequency	frequency	NOUN
cana-550	115	21	range	range	NOUN
cana-550	115	22	of	of	ADP
cana-550	115	23	5–15	5–15	PROPN
cana-550	115	24	hz	hz	VERB
cana-550	115	25	.	.	PUNCT
cana-550	116	1	a	a	DET
cana-550	116	2	five	five	NUM
cana-550	116	3	-	-	PUNCT
cana-550	116	4	point	point	NOUN
cana-550	116	5	derivative	derivative	NOUN
cana-550	116	6	was	be	AUX
cana-550	116	7	used	use	VERB
cana-550	116	8	to	to	PART
cana-550	116	9	distinguish	distinguish	VERB
cana-550	116	10	the	the	DET
cana-550	116	11	signal	signal	NOUN
cana-550	116	12	,	,	PUNCT
cana-550	116	13	and	and	CCONJ
cana-550	116	14	subsequently	subsequently	ADV
cana-550	116	15	,	,	PUNCT
cana-550	116	16	it	it	PRON
cana-550	116	17	was	be	AUX
cana-550	116	18	squared	square	VERB
cana-550	116	19	one	one	NUM
cana-550	116	20	point	point	NOUN
cana-550	116	21	at	at	ADP
cana-550	116	22	a	a	DET
cana-550	116	23	time	time	NOUN
cana-550	116	24	after	after	ADP
cana-550	116	25	filtering	filter	VERB
cana-550	116	26	.	.	PUNCT
cana-550	117	1	afterwards	afterwards	ADV
cana-550	117	2	,	,	PUNCT
cana-550	117	3	an	an	DET
cana-550	117	4	integrated	integrate	VERB
cana-550	117	5	energy	energy	NOUN
cana-550	117	6	signal	signal	NOUN
cana-550	117	7	was	be	AUX
cana-550	117	8	generated	generate	VERB
cana-550	117	9	from	from	ADP
cana-550	117	10	the	the	DET
cana-550	117	11	squared	square	VERB
cana-550	117	12	ecg	ecg	PROPN
cana-550	117	13	signal	signal	NOUN
cana-550	117	14	.	.	PUNCT
cana-550	118	1	the	the	DET
cana-550	118	2	qrs	qrs	PROPN
cana-550	118	3	peaks	peak	NOUN
cana-550	118	4	in	in	ADP
cana-550	118	5	the	the	DET
cana-550	118	6	filtered	filter	VERB
cana-550	118	7	ecg	ecg	PROPN
cana-550	118	8	signal	signal	NOUN
cana-550	118	9	and	and	CCONJ
cana-550	118	10	the	the	DET
cana-550	118	11	integrated	integrate	VERB
cana-550	118	12	energy	energy	NOUN
cana-550	118	13	signal	signal	NOUN
cana-550	118	14	were	be	AUX
cana-550	118	15	identified	identify	VERB
cana-550	118	16	using	use	VERB
cana-550	118	17	two	two	NUM
cana-550	118	18	sets	set	NOUN
cana-550	118	19	of	of	ADP
cana-550	118	20	adaptive	adaptive	ADJ
cana-550	118	21	thresholds	threshold	NOUN
cana-550	118	22	.	.	PUNCT
cana-550	119	1	the	the	DET
cana-550	119	2	peaks	peak	NOUN
cana-550	119	3	were	be	AUX
cana-550	119	4	re	re	VERB
cana-550	119	5	-	-	VERB
cana-550	119	6	detected	detect	VERB
cana-550	119	7	using	use	VERB
cana-550	119	8	optimization	optimization	NOUN
cana-550	119	9	thereafter	thereafter	ADV
cana-550	119	10	.	.	PUNCT
cana-550	120	1	to	to	PART
cana-550	120	2	start	start	VERB
cana-550	120	3	recognising	recognise	VERB
cana-550	120	4	a	a	DET
cana-550	120	5	t	t	NOUN
cana-550	120	6	wave	wave	NOUN
cana-550	120	7	,	,	PUNCT
cana-550	120	8	had	have	VERB
cana-550	120	9	to	to	PART
cana-550	120	10	make	make	VERB
cana-550	120	11	sure	sure	ADJ
cana-550	120	12	the	the	DET
cana-550	120	13	rr	rr	PROPN
cana-550	120	14	interval	interval	NOUN
cana-550	120	15	was	be	AUX
cana-550	120	16	n't	not	PART
cana-550	120	17	more	more	ADJ
cana-550	120	18	than	than	ADP
cana-550	120	19	360	360	NUM
cana-550	120	20	ms	ms	NOUN
cana-550	120	21	.	.	PUNCT
cana-550	121	1	the	the	DET
cana-550	121	2	missing	miss	VERB
cana-550	121	3	beats	beat	NOUN
cana-550	121	4	were	be	AUX
cana-550	121	5	located	locate	VERB
cana-550	121	6	using	use	VERB
cana-550	121	7	a	a	DET
cana-550	121	8	searching	search	VERB
cana-550	121	9	back	back	NOUN
cana-550	121	10	technique	technique	NOUN
cana-550	121	11	in	in	ADP
cana-550	121	12	cases	case	NOUN
cana-550	121	13	where	where	SCONJ
cana-550	121	14	the	the	DET
cana-550	121	15	rr	rr	PROPN
cana-550	121	16	interval	interval	NOUN
cana-550	121	17	was	be	AUX
cana-550	121	18	greater	great	ADJ
cana-550	121	19	than	than	SCONJ
cana-550	121	20	the	the	DET
cana-550	121	21	rr	rr	PROPN
cana-550	121	22	interval	interval	NOUN
cana-550	121	23	missed	miss	VERB
cana-550	121	24	limit	limit	NOUN
cana-550	121	25	(	(	PUNCT
cana-550	121	26	rrml	rrml	NOUN
cana-550	121	27	)	)	PUNCT
cana-550	121	28	.	.	PUNCT
cana-550	122	1	because	because	SCONJ
cana-550	122	2	they	they	PRON
cana-550	122	3	were	be	AUX
cana-550	122	4	derived	derive	VERB
cana-550	122	5	from	from	ADP
cana-550	122	6	the	the	DET
cana-550	122	7	operating	operating	NOUN
cana-550	122	8	signal	signal	NOUN
cana-550	122	9	and	and	CCONJ
cana-550	122	10	noise	noise	NOUN
cana-550	122	11	peak	peak	NOUN
cana-550	122	12	levels	level	NOUN
cana-550	122	13	seen	see	VERB
cana-550	122	14	in	in	ADP
cana-550	122	15	the	the	DET
cana-550	122	16	continuously	continuously	ADV
cana-550	122	17	processed	process	VERB
cana-550	122	18	signals	signal	NOUN
cana-550	122	19	,	,	PUNCT
cana-550	122	20	the	the	DET
cana-550	122	21	thresholds	threshold	NOUN
cana-550	122	22	thereafter	thereafter	ADV
cana-550	122	23	adjust	adjust	VERB
cana-550	122	24	themselves	themselves	PRON
cana-550	122	25	to	to	PART
cana-550	122	26	match	match	VERB
cana-550	122	27	the	the	DET
cana-550	122	28	signal	signal	NOUN
cana-550	122	29	's	's	PART
cana-550	122	30	properties	property	NOUN
cana-550	122	31	.	.	PUNCT
cana-550	123	1	iterative	iterative	NOUN
cana-550	123	2	peak	peak	NOUN
cana-550	123	3	level	level	NOUN
cana-550	123	4	estimator	estimator	NOUN
cana-550	123	5	was	be	AUX
cana-550	123	6	used	use	VERB
cana-550	123	7	to	to	PART
cana-550	123	8	compute	compute	VERB
cana-550	123	9	the	the	DET
cana-550	123	10	signal	signal	NOUN
cana-550	123	11	and	and	CCONJ
cana-550	123	12	noise	noise	NOUN
cana-550	123	13	peak	peak	NOUN
cana-550	123	14	levels	level	NOUN
cana-550	123	15	in	in	ADP
cana-550	123	16	this	this	DET
cana-550	123	17	approach	approach	NOUN
cana-550	123	18	.	.	PUNCT
cana-550	124	1	it	it	PRON
cana-550	124	2	is	be	AUX
cana-550	124	3	necessary	necessary	ADJ
cana-550	124	4	to	to	PART
cana-550	124	5	determine	determine	VERB
cana-550	124	6	whether	whether	SCONJ
cana-550	124	7	a	a	DET
cana-550	124	8	freshly	freshly	ADV
cana-550	124	9	discovered	discover	VERB
cana-550	124	10	peak	peak	NOUN
cana-550	124	11	is	be	AUX
cana-550	124	12	signal	signal	ADJ
cana-550	124	13	or	or	CCONJ
cana-550	124	14	noise	noise	NOUN
cana-550	124	15	before	before	ADP
cana-550	124	16	proceeding	proceeding	NOUN
cana-550	124	17	.	.	PUNCT
cana-550	125	1	the	the	DET
cana-550	125	2	detection	detection	NOUN
cana-550	125	3	threshold	threshold	NOUN
cana-550	125	4	was	be	AUX
cana-550	125	5	determined	determine	VERB
cana-550	125	6	using	use	VERB
cana-550	125	7	equation	equation	NOUN
cana-550	125	8	(	(	PUNCT
cana-550	125	9	5	5	NUM
cana-550	125	10	)	)	PUNCT
cana-550	125	11	.	.	PUNCT
cana-550	126	1	𝐷𝑇	𝐷𝑇	PROPN
cana-550	126	2	=	=	PUNCT
cana-550	126	3	𝑁𝑃𝐿	𝑁𝑃𝐿	PROPN
cana-550	126	4	+	+	CCONJ
cana-550	126	5	𝑇𝐶	𝑇𝐶	ADJ
cana-550	126	6	×	×	NOUN
cana-550	126	7	(	(	PUNCT
cana-550	126	8	𝑄𝑅𝑆𝑃𝐿	𝑄𝑅𝑆𝑃𝐿	PROPN
cana-550	126	9	−	−	PROPN
cana-550	126	10	𝑁𝑃𝐿	𝑁𝑃𝐿	PROPN
cana-550	126	11	)	)	PUNCT
cana-550	126	12	------------(5	------------(5	PROPN
cana-550	126	13	)	)	PUNCT
cana-550	126	14	the	the	DET
cana-550	126	15	detection	detection	NOUN
cana-550	126	16	threshold	threshold	NOUN
cana-550	126	17	(	(	PUNCT
cana-550	126	18	dt	dt	PROPN
cana-550	126	19	)	)	PUNCT
cana-550	126	20	,	,	PUNCT
cana-550	126	21	noise	noise	NOUN
cana-550	126	22	peak	peak	NOUN
cana-550	126	23	level	level	NOUN
cana-550	126	24	(	(	PUNCT
cana-550	126	25	npl	npl	NOUN
cana-550	126	26	)	)	PUNCT
cana-550	126	27	,	,	PUNCT
cana-550	126	28	threshold	threshold	NOUN
cana-550	126	29	coefficient	coefficient	NOUN
cana-550	126	30	(	(	PUNCT
cana-550	126	31	tc	tc	NOUN
cana-550	126	32	)	)	PUNCT
cana-550	126	33	,	,	PUNCT
cana-550	126	34	and	and	CCONJ
cana-550	126	35	qrs	qrs	PROPN
cana-550	126	36	signal	signal	PROPN
cana-550	126	37	peak	peak	NOUN
cana-550	126	38	level	level	NOUN
cana-550	126	39	(	(	PUNCT
cana-550	126	40	qrspl	qrspl	PROPN
cana-550	126	41	)	)	PUNCT
cana-550	126	42	are	be	AUX
cana-550	126	43	all	all	ADV
cana-550	126	44	defined	define	VERB
cana-550	126	45	here	here	ADV
cana-550	126	46	.	.	PUNCT
cana-550	127	1	with	with	ADP
cana-550	127	2	this	this	DET
cana-550	127	3	method	method	NOUN
cana-550	127	4	,	,	PUNCT
cana-550	127	5	tc	tc	PRON
cana-550	127	6	equals	equal	VERB
cana-550	127	7	0.25	0.25	NUM
cana-550	127	8	.	.	PUNCT
cana-550	128	1	afterwards	afterwards	ADV
cana-550	128	2	,	,	PUNCT
cana-550	128	3	in	in	ADP
cana-550	128	4	order	order	NOUN
cana-550	128	5	to	to	PART
cana-550	128	6	rule	rule	VERB
cana-550	128	7	out	out	ADP
cana-550	128	8	the	the	DET
cana-550	128	9	chance	chance	NOUN
cana-550	128	10	of	of	ADP
cana-550	128	11	a	a	DET
cana-550	128	12	false	false	ADJ
cana-550	128	13	alarm	alarm	NOUN
cana-550	128	14	,	,	PUNCT
cana-550	128	15	a	a	DET
cana-550	128	16	200	200	NUM
cana-550	128	17	ms	ms	ADJ
cana-550	128	18	refractory	refractory	NOUN
cana-550	128	19	blanking	blanking	NOUN
cana-550	128	20	technique	technique	NOUN
cana-550	128	21	was	be	AUX
cana-550	128	22	used	use	VERB
cana-550	128	23	.	.	PUNCT
cana-550	129	1	the	the	DET
cana-550	129	2	next	next	ADJ
cana-550	129	3	step	step	NOUN
cana-550	129	4	was	be	AUX
cana-550	129	5	to	to	PART
cana-550	129	6	identify	identify	VERB
cana-550	129	7	the	the	DET
cana-550	129	8	qrs	qrs	PROPN
cana-550	129	9	locations	location	NOUN
cana-550	129	10	by	by	ADP
cana-550	129	11	calculating	calculate	VERB
cana-550	129	12	the	the	DET
cana-550	129	13	peak	peak	NOUN
cana-550	129	14	points	point	NOUN
cana-550	129	15	across	across	ADP
cana-550	129	16	all	all	DET
cana-550	129	17	detections	detection	NOUN
cana-550	129	18	.	.	PUNCT
cana-550	130	1	𝑦[𝑛	𝑦[𝑛	NOUN
cana-550	130	2	]	]	X
cana-550	130	3	=	=	PUNCT
cana-550	131	1	𝑥[𝑛	𝑥[𝑛	NOUN
cana-550	131	2	]	]	X
cana-550	131	3	−	−	NUM
cana-550	131	4	𝑥[𝑛	𝑥[𝑛	NOUN
cana-550	132	1	−	−	ADP
cana-550	132	2	𝑁	𝑁	PROPN
cana-550	132	3	]	]	PUNCT
cana-550	132	4	-----------(6	-----------(6	PROPN
cana-550	132	5	)	)	PUNCT
cana-550	132	6	where	where	SCONJ
cana-550	132	7	:	:	PUNCT
cana-550	132	8	•	•	NUM
cana-550	132	9	𝑥[𝑛	𝑥[𝑛	NOUN
cana-550	132	10	]	]	X
cana-550	132	11	is	be	AUX
cana-550	132	12	the	the	DET
cana-550	132	13	input	input	NOUN
cana-550	132	14	signal	signal	NOUN
cana-550	132	15	.	.	PUNCT
cana-550	133	1	•	•	NUM
cana-550	133	2	𝑦[𝑛	𝑦[𝑛	PROPN
cana-550	133	3	]	]	PUNCT
cana-550	133	4	is	be	AUX
cana-550	133	5	the	the	DET
cana-550	133	6	differentiated	differentiate	VERB
cana-550	133	7	output	output	NOUN
cana-550	133	8	signal	signal	NOUN
cana-550	133	9	.	.	PUNCT
cana-550	134	1	•	•	INTJ
cana-550	134	2	𝑁	𝑁	PROPN
cana-550	134	3	is	be	AUX
cana-550	134	4	the	the	DET
cana-550	134	5	time	time	NOUN
cana-550	134	6	delay	delay	NOUN
cana-550	134	7	for	for	ADP
cana-550	134	8	differentiation	differentiation	NOUN
cana-550	134	9	,	,	PUNCT
cana-550	134	10	typically	typically	ADV
cana-550	134	11	chosen	choose	VERB
cana-550	134	12	as	as	ADP
cana-550	134	13	5	5	NUM
cana-550	134	14	samples	sample	NOUN
cana-550	134	15	.	.	PUNCT
cana-550	135	1	𝑦𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑛	𝑦𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑛	VERB
cana-550	135	2	]	]	PUNCT
cana-550	135	3	=	=	SYM
cana-550	136	1	𝑦[𝑛]2	𝑦[𝑛]2	NUM
cana-550	136	2	-----------------(7	-----------------(7	NOUN
cana-550	136	3	)	)	PUNCT
cana-550	136	4	where	where	SCONJ
cana-550	136	5	𝑦𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑛	𝑦𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑛	NOUN
cana-550	136	6	]	]	PUNCT
cana-550	136	7	represents	represent	VERB
cana-550	136	8	the	the	DET
cana-550	136	9	squared	square	VERB
cana-550	136	10	output	output	NOUN
cana-550	136	11	of	of	ADP
cana-550	136	12	the	the	DET
cana-550	136	13	differentiation	differentiation	NOUN
cana-550	136	14	step	step	NOUN
cana-550	136	15	.	.	PUNCT
cana-550	137	1	𝑦𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑒𝑑[𝑛	𝑦𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑒𝑑[𝑛	X
cana-550	137	2	]	]	PUNCT
cana-550	138	1	=	=	PUNCT
cana-550	138	2	∑	∑	PUNCT
cana-550	138	3	𝑌𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑖]𝑛	𝑌𝑠𝑞𝑢𝑎𝑟𝑒𝑑[𝑖]𝑛	PROPN
cana-550	138	4	𝑖=𝑛−𝑀	𝑖=𝑛−𝑀	PROPN
cana-550	138	5	---------------(8	---------------(8	NOUN
cana-550	138	6	)	)	PUNCT
cana-550	138	7	where	where	SCONJ
cana-550	138	8	:	:	PUNCT
cana-550	138	9	•	•	NUM
cana-550	138	10	𝑦𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑒𝑑[𝑛	𝑦𝑖𝑛𝑡𝑒𝑔𝑟𝑎𝑡𝑒𝑑[𝑛	NOUN
cana-550	138	11	]	]	PUNCT
cana-550	138	12	is	be	AUX
cana-550	138	13	the	the	DET
cana-550	138	14	integrated	integrate	VERB
cana-550	138	15	output	output	NOUN
cana-550	138	16	signal	signal	NOUN
cana-550	138	17	.	.	PUNCT
cana-550	139	1	•	•	NUM
cana-550	139	2	mm	mm	NOUN
cana-550	139	3	is	be	AUX
cana-550	139	4	the	the	DET
cana-550	139	5	integration	integration	NOUN
cana-550	139	6	window	window	NOUN
cana-550	139	7	size	size	NOUN
cana-550	139	8	,	,	PUNCT
cana-550	139	9	typically	typically	ADV
cana-550	139	10	chosen	choose	VERB
cana-550	139	11	as	as	ADP
cana-550	139	12	30	30	NUM
cana-550	139	13	to	to	PART
cana-550	139	14	150	150	NUM
cana-550	139	15	samples	sample	NOUN
cana-550	139	16	.	.	PUNCT
cana-550	140	1	communications	communication	NOUN
cana-550	140	2	on	on	ADP
cana-550	140	3	applied	apply	VERB
cana-550	140	4	nonlinear	nonlinear	ADJ
cana-550	140	5	analysis	analysis	NOUN
cana-550	140	6	issn	issn	NOUN
cana-550	140	7	:	:	PUNCT
cana-550	140	8	1074	1074	NUM
cana-550	140	9	-	-	PUNCT
cana-550	140	10	133x	133x	NUM
cana-550	140	11	vol	vol	NOUN
cana-550	140	12	31	31	NUM
cana-550	140	13	no	no	NOUN
cana-550	140	14	.	.	NOUN
cana-550	140	15	2	2	NUM
cana-550	140	16	(	(	PUNCT
cana-550	140	17	2024	2024	NUM
cana-550	140	18	)	)	PUNCT
cana-550	140	19	277	277	NUM
cana-550	140	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	140	21	3.4	3.4	NUM
cana-550	140	22	classification	classification	NOUN
cana-550	140	23	and	and	CCONJ
cana-550	140	24	prediction	prediction	NOUN
cana-550	140	25	using	use	VERB
cana-550	140	26	caswideresnet	caswideresnet	NOUN
cana-550	140	27	algorithm	algorithm	NOUN
cana-550	140	28	the	the	DET
cana-550	140	29	caswideresnet	caswideresnet	NOUN
cana-550	140	30	algorithm	algorithm	NOUN
cana-550	140	31	is	be	AUX
cana-550	140	32	a	a	DET
cana-550	140	33	deep	deep	ADJ
cana-550	140	34	learning	learning	NOUN
cana-550	140	35	model	model	NOUN
cana-550	140	36	designed	design	VERB
cana-550	140	37	for	for	ADP
cana-550	140	38	ecg	ecg	PROPN
cana-550	140	39	signal	signal	NOUN
cana-550	140	40	classification	classification	NOUN
cana-550	140	41	and	and	CCONJ
cana-550	140	42	prediction	prediction	NOUN
cana-550	140	43	tasks	task	NOUN
cana-550	140	44	,	,	PUNCT
cana-550	140	45	particularly	particularly	ADV
cana-550	140	46	in	in	ADP
cana-550	140	47	the	the	DET
cana-550	140	48	context	context	NOUN
cana-550	140	49	of	of	ADP
cana-550	140	50	cancer	cancer	NOUN
cana-550	140	51	detection	detection	NOUN
cana-550	140	52	and	and	CCONJ
cana-550	140	53	diagnosis	diagnosis	NOUN
cana-550	140	54	from	from	ADP
cana-550	140	55	medical	medical	ADJ
cana-550	140	56	data	datum	NOUN
cana-550	140	57	like	like	ADP
cana-550	140	58	ecg	ecg	PROPN
cana-550	140	59	.	.	PUNCT
cana-550	141	1	it	it	PRON
cana-550	141	2	leverages	leverage	VERB
cana-550	141	3	resnet	resnet	ADJ
cana-550	141	4	architecture	architecture	NOUN
cana-550	141	5	with	with	ADP
cana-550	141	6	cascading	cascade	VERB
cana-550	141	7	layers	layer	NOUN
cana-550	141	8	to	to	PART
cana-550	141	9	effectively	effectively	ADV
cana-550	141	10	capture	capture	VERB
cana-550	141	11	intricate	intricate	ADJ
cana-550	141	12	patterns	pattern	NOUN
cana-550	141	13	and	and	CCONJ
cana-550	141	14	features	feature	NOUN
cana-550	141	15	within	within	ADP
cana-550	141	16	the	the	DET
cana-550	141	17	ecg	ecg	PROPN
cana-550	141	18	signals	signal	NOUN
cana-550	141	19	.	.	PUNCT
cana-550	142	1	classification	classification	NOUN
cana-550	142	2	involves	involve	VERB
cana-550	142	3	categorizing	categorize	VERB
cana-550	142	4	signals	signal	NOUN
cana-550	142	5	into	into	ADP
cana-550	142	6	different	different	ADJ
cana-550	142	7	classes	class	NOUN
cana-550	142	8	,	,	PUNCT
cana-550	142	9	while	while	SCONJ
cana-550	142	10	prediction	prediction	NOUN
cana-550	142	11	tasks	task	NOUN
cana-550	142	12	can	can	AUX
cana-550	142	13	include	include	VERB
cana-550	142	14	estimating	estimate	VERB
cana-550	142	15	disease	disease	NOUN
cana-550	142	16	progression	progression	NOUN
cana-550	142	17	or	or	CCONJ
cana-550	142	18	treatment	treatment	NOUN
cana-550	142	19	response	response	NOUN
cana-550	142	20	based	base	VERB
cana-550	142	21	on	on	ADP
cana-550	142	22	ecg	ecg	PROPN
cana-550	142	23	signal	signal	PROPN
cana-550	142	24	data	datum	NOUN
cana-550	142	25	.	.	PUNCT
cana-550	143	1	it	it	PRON
cana-550	143	2	uses	use	VERB
cana-550	143	3	a	a	DET
cana-550	143	4	label	label	NOUN
cana-550	143	5	encoder	encoder	NOUN
cana-550	143	6	to	to	PART
cana-550	143	7	standardize	standardize	VERB
cana-550	143	8	the	the	DET
cana-550	143	9	input	input	NOUN
cana-550	143	10	,	,	PUNCT
cana-550	143	11	in	in	ADP
cana-550	143	12	particular	particular	ADJ
cana-550	143	13	.	.	PUNCT
cana-550	144	1	we	we	PRON
cana-550	144	2	substitute	substitute	VERB
cana-550	144	3	the	the	DET
cana-550	144	4	labels	label	NOUN
cana-550	144	5	without	without	ADP
cana-550	144	6	numbers	number	NOUN
cana-550	144	7	with	with	ADP
cana-550	144	8	their	their	PRON
cana-550	144	9	numerical	numerical	ADJ
cana-550	144	10	equivalents	equivalent	NOUN
cana-550	144	11	.	.	PUNCT
cana-550	145	1	word	word	NOUN
cana-550	145	2	counts	count	NOUN
cana-550	145	3	,	,	PUNCT
cana-550	145	4	textual	textual	ADJ
cana-550	145	5	frequency	frequency	NOUN
cana-550	145	6	,	,	PUNCT
cana-550	145	7	or	or	CCONJ
cana-550	145	8	tfidf	tfidf	NOUN
cana-550	145	9	can	can	AUX
cana-550	145	10	be	be	AUX
cana-550	145	11	transformed	transform	VERB
cana-550	145	12	into	into	ADP
cana-550	145	13	an	an	DET
cana-550	145	14	integer	integer	NOUN
cana-550	145	15	sequence	sequence	NOUN
cana-550	145	16	or	or	CCONJ
cana-550	145	17	vector	vector	NOUN
cana-550	145	18	with	with	ADP
cana-550	145	19	a	a	DET
cana-550	145	20	binary	binary	ADJ
cana-550	145	21	coefficient	coefficient	NOUN
cana-550	145	22	using	use	VERB
cana-550	145	23	the	the	DET
cana-550	145	24	tokenize	tokenize	ADJ
cana-550	145	25	tool	tool	NOUN
cana-550	145	26	.	.	PUNCT
cana-550	146	1	the	the	DET
cana-550	146	2	total	total	ADJ
cana-550	146	3	number	number	NOUN
cana-550	146	4	of	of	ADP
cana-550	146	5	times	time	NOUN
cana-550	146	6	a	a	DET
cana-550	146	7	certain	certain	ADJ
cana-550	146	8	token	token	NOUN
cana-550	146	9	occurs	occur	VERB
cana-550	146	10	in	in	ADP
cana-550	146	11	a	a	DET
cana-550	146	12	particular	particular	ADJ
cana-550	146	13	content	content	NOUN
cana-550	146	14	record	record	NOUN
cana-550	146	15	is	be	AUX
cana-550	146	16	known	know	VERB
cana-550	146	17	as	as	ADP
cana-550	146	18	𝑇𝑓	𝑇𝑓	PROPN
cana-550	146	19	,	,	PUNCT
cana-550	146	20	or	or	CCONJ
cana-550	146	21	token	token	ADJ
cana-550	146	22	frequency	frequency	NOUN
cana-550	146	23	.	.	PUNCT
cana-550	147	1	the	the	DET
cana-550	147	2	proportion	proportion	NOUN
cana-550	147	3	of	of	ADP
cana-550	147	4	token	token	ADJ
cana-550	147	5	occurrences	occurrence	NOUN
cana-550	147	6	in	in	ADP
cana-550	147	7	the	the	DET
cana-550	147	8	content	content	NOUN
cana-550	147	9	record	record	NOUN
cana-550	147	10	as	as	ADP
cana-550	147	11	a	a	DET
cana-550	147	12	percentage	percentage	NOUN
cana-550	147	13	of	of	ADP
cana-550	147	14	all	all	DET
cana-550	147	15	tokens	token	NOUN
cana-550	147	16	,	,	PUNCT
cana-550	147	17	as	as	SCONJ
cana-550	147	18	calculated	calculate	VERB
cana-550	147	19	in	in	ADP
cana-550	147	20	equation	equation	NOUN
cana-550	147	21	9	9	NUM
cana-550	147	22	.	.	PUNCT
cana-550	148	1	tfij	tfij	PROPN
cana-550	148	2	=	=	PROPN
cana-550	148	3	nij	nij	PROPN
cana-550	148	4	∑	∑	PUNCT
cana-550	148	5	nijk	nijk	PROPN
cana-550	148	6	-----(9	-----(9	NOUN
cana-550	148	7	)	)	PUNCT
cana-550	148	8	researchers	researcher	NOUN
cana-550	148	9	in	in	ADP
cana-550	148	10	the	the	DET
cana-550	148	11	field	field	NOUN
cana-550	148	12	of	of	ADP
cana-550	148	13	statistics	statistic	NOUN
cana-550	148	14	use	use	VERB
cana-550	148	15	the	the	DET
cana-550	148	16	inverse	inverse	NOUN
cana-550	148	17	data	data	NOUN
cana-550	148	18	frequency	frequency	NOUN
cana-550	148	19	(	(	PUNCT
cana-550	148	20	idf	idf	PROPN
cana-550	148	21	)	)	PUNCT
cana-550	148	22	statistic	statistic	NOUN
cana-550	148	23	to	to	PART
cana-550	148	24	find	find	VERB
cana-550	148	25	the	the	DET
cana-550	148	26	frequency	frequency	NOUN
cana-550	148	27	with	with	ADP
cana-550	148	28	which	which	PRON
cana-550	148	29	unexpected	unexpected	ADJ
cana-550	148	30	tokens	token	NOUN
cana-550	148	31	appear	appear	VERB
cana-550	148	32	in	in	ADP
cana-550	148	33	historical	historical	ADJ
cana-550	148	34	data	datum	NOUN
cana-550	148	35	.	.	PUNCT
cana-550	149	1	tokens	token	NOUN
cana-550	149	2	that	that	PRON
cana-550	149	3	appear	appear	VERB
cana-550	149	4	infrequently	infrequently	ADV
cana-550	149	5	in	in	ADP
cana-550	149	6	the	the	DET
cana-550	149	7	record	record	NOUN
cana-550	149	8	document	document	NOUN
cana-550	149	9	are	be	AUX
cana-550	149	10	more	more	ADV
cana-550	149	11	likely	likely	ADJ
cana-550	149	12	to	to	PART
cana-550	149	13	be	be	AUX
cana-550	149	14	(	(	PUNCT
cana-550	149	15	10	10	NUM
cana-550	149	16	)	)	PUNCT
cana-550	149	17	df(w	df(w	NOUN
cana-550	149	18	)	)	PUNCT
cana-550	150	1	=	=	PRON
cana-550	150	2	log	log	NOUN
cana-550	150	3	(	(	PUNCT
cana-550	150	4	n	n	X
cana-550	150	5	dfi	dfi	PROPN
cana-550	150	6	)	)	PUNCT
cana-550	150	7	------(10	------(10	NOUN
cana-550	150	8	)	)	PUNCT
cana-550	150	9	by	by	ADP
cana-550	150	10	combining	combine	VERB
cana-550	150	11	a	a	DET
cana-550	150	12	word	word	NOUN
cana-550	150	13	's	's	PART
cana-550	150	14	tf	tf	NUM
cana-550	150	15	score	score	NOUN
cana-550	150	16	(	(	PUNCT
cana-550	150	17	3	3	NUM
cana-550	150	18	)	)	PUNCT
cana-550	150	19	with	with	ADP
cana-550	150	20	its	its	PRON
cana-550	150	21	idf	idf	PROPN
cana-550	150	22	score	score	NOUN
cana-550	150	23	(	(	PUNCT
cana-550	150	24	w	w	NOUN
cana-550	150	25	)	)	PUNCT
cana-550	150	26	(	(	PUNCT
cana-550	150	27	4	4	NUM
cana-550	150	28	)	)	PUNCT
cana-550	150	29	,	,	PUNCT
cana-550	150	30	we	we	PRON
cana-550	150	31	can	can	AUX
cana-550	150	32	get	get	VERB
cana-550	150	33	its	its	PRON
cana-550	150	34	tf	tf	ADJ
cana-550	150	35	-	-	PUNCT
cana-550	150	36	idf	idf	PROPN
cana-550	150	37	score	score	NOUN
cana-550	150	38	(	(	PUNCT
cana-550	150	39	w	w	NOUN
cana-550	150	40	)	)	PUNCT
cana-550	150	41	.	.	PUNCT
cana-550	151	1	to	to	PART
cana-550	151	2	be	be	AUX
cana-550	151	3	more	more	ADV
cana-550	151	4	precise	precise	ADJ
cana-550	151	5	,	,	PUNCT
cana-550	151	6	i	i	PRON
cana-550	151	7	am	be	AUX
cana-550	151	8	referring	refer	VERB
cana-550	151	9	to	to	ADP
cana-550	151	10	equation	equation	NOUN
cana-550	151	11	11	11	NUM
cana-550	151	12	.	.	PUNCT
cana-550	152	1	wi	wi	PROPN
cana-550	152	2	,	,	PUNCT
cana-550	152	3	j	j	PROPN
cana-550	152	4	=	=	SYM
cana-550	152	5	tfi	tfi	PROPN
cana-550	152	6	,	,	PUNCT
cana-550	152	7	j	j	PROPN
cana-550	152	8	×	×	PROPN
cana-550	152	9	log	log	NOUN
cana-550	152	10	(	(	PUNCT
cana-550	152	11	n	n	X
cana-550	152	12	dfi	dfi	PROPN
cana-550	152	13	)	)	PUNCT
cana-550	152	14	------(11	------(11	PROPN
cana-550	152	15	)	)	PUNCT
cana-550	152	16	tfi	tfi	NOUN
cana-550	152	17	,	,	PUNCT
cana-550	152	18	j=	j=	PUNCT
cana-550	152	19	counting	count	VERB
cana-550	152	20	the	the	DET
cana-550	152	21	occurrences	occurrence	NOUN
cana-550	152	22	of	of	ADP
cana-550	152	23	i	i	PRON
cana-550	152	24	in	in	ADP
cana-550	152	25	j	j	PROPN
cana-550	152	26	dfi=	dfi=	PROPN
cana-550	152	27	records	record	NOUN
cana-550	152	28	where	where	SCONJ
cana-550	152	29	i	i	PRON
cana-550	152	30	is	be	AUX
cana-550	152	31	the	the	DET
cana-550	152	32	i	i	PROPN
cana-550	152	33	d	d	PROPN
cana-550	152	34	value	value	NOUN
cana-550	152	35	n	n	NOUN
cana-550	152	36	=	=	PRON
cana-550	152	37	the	the	DET
cana-550	152	38	whole	whole	ADJ
cana-550	152	39	count	count	NOUN
cana-550	152	40	of	of	ADP
cana-550	152	41	files	file	NOUN
cana-550	152	42	to	to	PART
cana-550	152	43	begin	begin	VERB
cana-550	152	44	training	train	VERB
cana-550	152	45	the	the	DET
cana-550	152	46	model	model	NOUN
cana-550	152	47	,	,	PUNCT
cana-550	152	48	the	the	DET
cana-550	152	49	text	text	NOUN
cana-550	152	50	to	to	ADP
cana-550	152	51	sequence	sequence	NOUN
cana-550	152	52	tool	tool	NOUN
cana-550	152	53	is	be	AUX
cana-550	152	54	used	use	VERB
cana-550	152	55	to	to	PART
cana-550	152	56	convert	convert	VERB
cana-550	152	57	tokens	token	NOUN
cana-550	152	58	into	into	ADP
cana-550	152	59	word	word	NOUN
cana-550	152	60	sequences	sequence	NOUN
cana-550	152	61	.	.	PUNCT
cana-550	153	1	argminu	argminu	PROPN
cana-550	153	2	‖d(n	‖d(n	NOUN
cana-550	153	3	,	,	PUNCT
cana-550	153	4	x	x	X
cana-550	153	5	,	,	PUNCT
cana-550	153	6	t	t	PROPN
cana-550	153	7	)	)	PUNCT
cana-550	153	8	−	−	PROPN
cana-550	154	1	d(n	d(n	PROPN
cana-550	154	2	,	,	PUNCT
cana-550	154	3	x	x	PRON
cana-550	154	4	,	,	PUNCT
cana-550	154	5	t	t	PROPN
cana-550	154	6	∙	∙	PROPN
cana-550	154	7	u)‖	u)‖	X
cana-550	154	8	+	+	X
cana-550	154	9	λω(u	λω(u	X
cana-550	154	10	)	)	PUNCT
cana-550	154	11	------(12	------(12	CCONJ
cana-550	154	12	)	)	PUNCT
cana-550	154	13	in	in	ADP
cana-550	154	14	line	line	NOUN
cana-550	154	15	with	with	ADP
cana-550	154	16	what	what	PRON
cana-550	154	17	has	have	AUX
cana-550	154	18	been	be	AUX
cana-550	154	19	said	say	VERB
cana-550	154	20	so	so	ADV
cana-550	154	21	far	far	ADV
cana-550	154	22	,	,	PUNCT
cana-550	154	23	this	this	DET
cana-550	154	24	structural	structural	ADJ
cana-550	154	25	optimization	optimization	NOUN
cana-550	154	26	belongs	belong	VERB
cana-550	154	27	to	to	ADP
cana-550	154	28	the	the	DET
cana-550	154	29	class	class	NOUN
cana-550	154	30	of	of	ADP
cana-550	154	31	problems	problem	NOUN
cana-550	154	32	called	call	VERB
cana-550	154	33	np	np	INTJ
cana-550	154	34	-	-	PUNCT
cana-550	154	35	hard	hard	ADJ
cana-550	154	36	due	due	ADP
cana-550	154	37	to	to	ADP
cana-550	154	38	its	its	PRON
cana-550	154	39	computational	computational	ADJ
cana-550	154	40	complexity	complexity	NOUN
cana-550	154	41	of	of	ADP
cana-550	154	42	o(2n	o(2n	NOUN
cana-550	154	43	)	)	PUNCT
cana-550	154	44	.	.	PUNCT
cana-550	155	1	it	it	PRON
cana-550	155	2	is	be	AUX
cana-550	155	3	well	well	ADV
cana-550	155	4	recognized	recognize	VERB
cana-550	155	5	that	that	SCONJ
cana-550	155	6	gas	gas	NOUN
cana-550	155	7	garnered	garner	VERB
cana-550	155	8	the	the	DET
cana-550	155	9	most	most	ADJ
cana-550	155	10	attention	attention	NOUN
cana-550	155	11	when	when	SCONJ
cana-550	155	12	applied	apply	VERB
cana-550	155	13	to	to	ADP
cana-550	155	14	np	np	NOUN
cana-550	155	15	-	-	PUNCT
cana-550	155	16	hard	hard	ADJ
cana-550	155	17	problems	problem	NOUN
cana-550	155	18	.	.	PUNCT
cana-550	156	1	thus	thus	ADV
cana-550	156	2	,	,	PUNCT
cana-550	156	3	ga	ga	PROPN
cana-550	156	4	might	might	AUX
cana-550	156	5	be	be	AUX
cana-550	156	6	used	use	VERB
cana-550	156	7	to	to	PART
cana-550	156	8	enhance	enhance	VERB
cana-550	156	9	the	the	DET
cana-550	156	10	aforementioned	aforementioned	ADJ
cana-550	156	11	design	design	NOUN
cana-550	156	12	.	.	PUNCT
cana-550	157	1	one	one	NUM
cana-550	157	2	way	way	NOUN
cana-550	157	3	to	to	PART
cana-550	157	4	improve	improve	VERB
cana-550	157	5	the	the	DET
cana-550	157	6	architecture	architecture	NOUN
cana-550	157	7	of	of	ADP
cana-550	157	8	a	a	DET
cana-550	157	9	resnet	resnet	NOUN
cana-550	157	10	network	network	NOUN
cana-550	157	11	is	be	AUX
cana-550	157	12	shown	show	VERB
cana-550	157	13	in	in	ADP
cana-550	157	14	algorithm	algorithm	NOUN
cana-550	157	15	1	1	NUM
cana-550	157	16	.	.	PUNCT
cana-550	157	17	consider	consider	VERB
cana-550	157	18	the	the	DET
cana-550	157	19	gene	gene	NOUN
cana-550	157	20	𝑣𝑘(𝑤𝑖𝑗	𝑣𝑘(𝑤𝑖𝑗	NOUN
cana-550	157	21	)	)	PUNCT
cana-550	157	22	as	as	ADP
cana-550	157	23	a	a	DET
cana-550	157	24	switch	switch	NOUN
cana-550	157	25	that	that	PRON
cana-550	157	26	,	,	PUNCT
cana-550	157	27	when	when	SCONJ
cana-550	157	28	turned	turn	VERB
cana-550	157	29	on	on	ADP
cana-550	157	30	,	,	PUNCT
cana-550	157	31	indicates	indicate	VERB
cana-550	157	32	whether	whether	SCONJ
cana-550	157	33	the	the	DET
cana-550	157	34	edges	edge	NOUN
cana-550	157	35	connecting	connect	VERB
cana-550	157	36	nodes	node	NOUN
cana-550	157	37	i	i	PRON
cana-550	157	38	and	and	CCONJ
cana-550	157	39	j	j	PROPN
cana-550	157	40	are	be	AUX
cana-550	157	41	indeed	indeed	ADV
cana-550	157	42	linked	link	VERB
cana-550	157	43	.	.	PUNCT
cana-550	158	1	the	the	DET
cana-550	158	2	only	only	ADJ
cana-550	158	3	way	way	NOUN
cana-550	158	4	for	for	ADP
cana-550	158	5	neurons	neuron	NOUN
cana-550	158	6	i	i	PRON
cana-550	158	7	and	and	CCONJ
cana-550	158	8	j	j	PROPN
cana-550	158	9	to	to	PART
cana-550	158	10	be	be	AUX
cana-550	158	11	linked	link	VERB
cana-550	158	12	in	in	ADP
cana-550	158	13	resnet	resnet	NOUN
cana-550	158	14	is	be	AUX
cana-550	158	15	for	for	SCONJ
cana-550	158	16	𝑣𝑘	𝑣𝑘	INTJ
cana-550	158	17	(	(	PUNCT
cana-550	158	18	𝑇𝑖𝑗	𝑇𝑖𝑗	PROPN
cana-550	158	19	)	)	PUNCT
cana-550	158	20	to	to	PART
cana-550	158	21	be	be	AUX
cana-550	158	22	set	set	VERB
cana-550	158	23	to	to	ADP
cana-550	158	24	1	1	NUM
cana-550	158	25	.	.	PUNCT
cana-550	159	1	if	if	SCONJ
cana-550	159	2	it	it	PRON
cana-550	159	3	's	be	AUX
cana-550	159	4	not	not	PART
cana-550	159	5	,	,	PUNCT
cana-550	159	6	the	the	DET
cana-550	159	7	connection	connection	NOUN
cana-550	159	8	is	be	AUX
cana-550	159	9	destroyed	destroy	VERB
cana-550	159	10	.	.	PUNCT
cana-550	160	1	in	in	ADP
cana-550	160	2	order	order	NOUN
cana-550	160	3	to	to	PART
cana-550	160	4	find	find	VERB
cana-550	160	5	an	an	DET
cana-550	160	6	optimal	optimal	ADJ
cana-550	160	7	network	network	NOUN
cana-550	160	8	design	design	NOUN
cana-550	160	9	,	,	PUNCT
cana-550	160	10	we	we	PRON
cana-550	160	11	evaluate	evaluate	VERB
cana-550	160	12	each	each	DET
cana-550	160	13	representation	representation	NOUN
cana-550	160	14	in	in	ADP
cana-550	160	15	equation	equation	NOUN
cana-550	160	16	13	13	NUM
cana-550	160	17	using	use	VERB
cana-550	160	18	the	the	DET
cana-550	160	19	following	follow	VERB
cana-550	160	20	evolution	evolution	NOUN
cana-550	160	21	function	function	NOUN
cana-550	160	22	.	.	PUNCT
cana-550	161	1	fitness	fitness	NOUN
cana-550	161	2	=	=	SYM
cana-550	161	3	α‖d(n	α‖d(n	NOUN
cana-550	161	4	,	,	PUNCT
cana-550	161	5	x	x	X
cana-550	161	6	,	,	PUNCT
cana-550	161	7	t	t	PROPN
cana-550	161	8	)	)	PUNCT
cana-550	161	9	−	−	PROPN
cana-550	162	1	d(n	d(n	PROPN
cana-550	162	2	,	,	PUNCT
cana-550	162	3	x	x	PRON
cana-550	162	4	,	,	PUNCT
cana-550	162	5	t	t	PROPN
cana-550	162	6	∙	∙	PROPN
cana-550	162	7	u)‖	u)‖	X
cana-550	162	8	+	+	PUNCT
cana-550	162	9	λω(u	λω(u	NUM
cana-550	162	10	)	)	PUNCT
cana-550	162	11	-----(13	-----(13	NOUN
cana-550	162	12	)	)	PUNCT
cana-550	162	13	ω(u	ω(u	PROPN
cana-550	162	14	)	)	PUNCT
cana-550	162	15	=	=	SYM
cana-550	163	1	1	1	NUM
cana-550	163	2	−	−	NOUN
cana-550	163	3	∑	∑	PUNCT
cana-550	163	4	uk	uk	PROPN
cana-550	163	5	n	n	PROPN
cana-550	163	6	k=1	k=1	PROPN
cana-550	163	7	n	n	CCONJ
cana-550	163	8	------(14	------(14	NOUN
cana-550	163	9	)	)	PUNCT
cana-550	163	10	communications	communication	NOUN
cana-550	163	11	on	on	ADP
cana-550	163	12	applied	apply	VERB
cana-550	163	13	nonlinear	nonlinear	ADJ
cana-550	163	14	analysis	analysis	NOUN
cana-550	163	15	issn	issn	NOUN
cana-550	163	16	:	:	PUNCT
cana-550	163	17	1074	1074	NUM
cana-550	163	18	-	-	PUNCT
cana-550	163	19	133x	133x	NUM
cana-550	163	20	vol	vol	NOUN
cana-550	163	21	31	31	NUM
cana-550	163	22	no	no	NOUN
cana-550	163	23	.	.	NOUN
cana-550	163	24	2	2	NUM
cana-550	163	25	(	(	PUNCT
cana-550	163	26	2024	2024	NUM
cana-550	163	27	)	)	PUNCT
cana-550	163	28	278	278	NUM
cana-550	163	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	163	30	where	where	SCONJ
cana-550	163	31	and	and	CCONJ
cana-550	163	32	are	be	AUX
cana-550	163	33	weight	weight	NOUN
cana-550	163	34	-	-	PUNCT
cana-550	163	35	changing	change	VERB
cana-550	163	36	adaptive	adaptive	ADJ
cana-550	163	37	parameters	parameter	NOUN
cana-550	163	38	that	that	PRON
cana-550	163	39	provide	provide	VERB
cana-550	163	40	a	a	DET
cana-550	163	41	search	search	NOUN
cana-550	163	42	pressure	pressure	NOUN
cana-550	163	43	between	between	ADP
cana-550	163	44	the	the	DET
cana-550	163	45	loss	loss	NOUN
cana-550	163	46	function	function	NOUN
cana-550	163	47	and	and	CCONJ
cana-550	163	48	the	the	DET
cana-550	163	49	network	network	NOUN
cana-550	163	50	's	's	PART
cana-550	163	51	architecture	architecture	NOUN
cana-550	163	52	in	in	ADP
cana-550	163	53	equation	equation	NOUN
cana-550	163	54	15	15	NUM
cana-550	163	55	.	.	PUNCT
cana-550	164	1	z1	z1	PROPN
cana-550	164	2	=	=	SYM
cana-550	164	3	|d(n	|d(n	PROPN
cana-550	164	4	,	,	PUNCT
cana-550	164	5	x	x	X
cana-550	164	6	,	,	PUNCT
cana-550	164	7	t	t	PROPN
cana-550	164	8	)	)	PUNCT
cana-550	164	9	−	−	PROPN
cana-550	164	10	d(n	d(n	PROPN
cana-550	164	11	,	,	PUNCT
cana-550	164	12	x	x	PRON
cana-550	164	13	,	,	PUNCT
cana-550	164	14	t	t	X
cana-550	164	15	∙	∙	PROPN
cana-550	164	16	u)|	u)|	NOUN
cana-550	164	17	------(15	------(15	NOUN
cana-550	164	18	)	)	PUNCT
cana-550	164	19	z2	z2	NOUN
cana-550	164	20	=	=	SYM
cana-550	164	21	ω(u	ω(u	PROPN
cana-550	164	22	)	)	PUNCT
cana-550	164	23	----(16	----(16	NOUN
cana-550	164	24	)	)	PUNCT
cana-550	164	25	a	a	DET
cana-550	164	26	=	=	X
cana-550	164	27	r	r	NOUN
cana-550	164	28	∑	∑	PUNCT
cana-550	164	29	−z1	−z1	VERB
cana-550	164	30	minmax	minmax	X
cana-550	164	31	1	1	NUM
cana-550	164	32	------(17	------(17	ADJ
cana-550	164	33	)	)	PUNCT
cana-550	164	34	r	r	NOUN
cana-550	164	35	=	=	SYM
cana-550	164	36	1−r	1−r	PROPN
cana-550	164	37	z2	z2	PROPN
cana-550	164	38	max−z2	max−z2	PROPN
cana-550	164	39	min	min	PROPN
cana-550	164	40	-----(18	-----(18	NOUN
cana-550	164	41	)	)	PUNCT
cana-550	164	42	since	since	SCONJ
cana-550	164	43	the	the	DET
cana-550	164	44	gene	gene	NOUN
cana-550	164	45	is	be	AUX
cana-550	164	46	either	either	CCONJ
cana-550	164	47	1	1	NUM
cana-550	164	48	or	or	CCONJ
cana-550	164	49	0	0	NUM
cana-550	164	50	,	,	PUNCT
cana-550	164	51	when	when	SCONJ
cana-550	164	52	mutated	mutate	VERB
cana-550	164	53	it	it	PRON
cana-550	164	54	will	will	AUX
cana-550	164	55	become	become	VERB
cana-550	164	56	the	the	DET
cana-550	164	57	latter	latter	ADJ
cana-550	164	58	(	(	PUNCT
cana-550	164	59	or	or	CCONJ
cana-550	164	60	1	1	NUM
cana-550	164	61	)	)	PUNCT
cana-550	164	62	.	.	PUNCT
cana-550	165	1	from	from	ADP
cana-550	165	2	a	a	DET
cana-550	165	3	methodology	methodology	NOUN
cana-550	165	4	standpoint	standpoint	NOUN
cana-550	165	5	,	,	PUNCT
cana-550	165	6	ga	ga	PROPN
cana-550	165	7	operates	operate	VERB
cana-550	165	8	as	as	SCONJ
cana-550	165	9	follows	follow	VERB
cana-550	165	10	:	:	PUNCT
cana-550	165	11	in	in	ADP
cana-550	165	12	the	the	DET
cana-550	165	13	present	present	ADJ
cana-550	165	14	generation	generation	NOUN
cana-550	165	15	t	t	PROPN
cana-550	165	16	,	,	PUNCT
cana-550	165	17	p(t	p(t	NOUN
cana-550	165	18	)	)	PUNCT
cana-550	165	19	represents	represent	VERB
cana-550	165	20	the	the	DET
cana-550	165	21	parents	parent	NOUN
cana-550	165	22	and	and	CCONJ
cana-550	165	23	c(t	c(t	PROPN
cana-550	165	24	)	)	PUNCT
cana-550	165	25	represents	represent	VERB
cana-550	165	26	the	the	DET
cana-550	165	27	offspring	offspring	NOUN
cana-550	165	28	;	;	PUNCT
cana-550	165	29	the	the	DET
cana-550	165	30	detailed	detailed	ADJ
cana-550	165	31	implementation	implementation	NOUN
cana-550	165	32	of	of	ADP
cana-550	165	33	ga	ga	PROPN
cana-550	165	34	is	be	AUX
cana-550	165	35	explained	explain	VERB
cana-550	165	36	in	in	ADP
cana-550	165	37	algorithm	algorithm	NOUN
cana-550	165	38	1	1	NUM
cana-550	165	39	.	.	PUNCT
cana-550	166	1	figure	figure	NOUN
cana-550	166	2	2	2	NUM
cana-550	166	3	:	:	PUNCT
cana-550	166	4	caswideresnet	caswideresnet	NOUN
cana-550	166	5	architecture	architecture	NOUN
cana-550	166	6	algorithm	algorithm	NOUN
cana-550	166	7	1	1	NUM
cana-550	166	8	:	:	PUNCT
cana-550	166	9	caswideresnet	caswideresnet	NOUN
cana-550	166	10	input	input	NOUN
cana-550	166	11	:	:	PUNCT
cana-550	166	12	•	•	NUM
cana-550	166	13	preprocessed	preprocesse	VERB
cana-550	166	14	eeg	eeg	NOUN
cana-550	166	15	signals	signal	NOUN
cana-550	166	16	from	from	ADP
cana-550	166	17	sleep	sleep	NOUN
cana-550	166	18	apnea	apnea	NOUN
cana-550	166	19	patients	patient	NOUN
cana-550	166	20	•	•	ADP
cana-550	166	21	label	label	NOUN
cana-550	166	22	encoder	encoder	NOUN
cana-550	166	23	for	for	ADP
cana-550	166	24	normalization	normalization	NOUN
cana-550	166	25	•	•	NUM
cana-550	166	26	tokenizer	tokenizer	NOUN
cana-550	166	27	for	for	ADP
cana-550	166	28	word	word	NOUN
cana-550	166	29	-	-	PUNCT
cana-550	166	30	to	to	ADP
cana-550	166	31	-	-	PUNCT
cana-550	166	32	sequence	sequence	NOUN
cana-550	166	33	conversion	conversion	NOUN
cana-550	166	34	•	•	NOUN
cana-550	166	35	transition	transition	NOUN
cana-550	166	36	matrix	matrix	NOUN
cana-550	166	37	u	u	NOUN
cana-550	166	38	for	for	ADP
cana-550	166	39	network	network	NOUN
cana-550	166	40	structure	structure	NOUN
cana-550	166	41	optimization	optimization	NOUN
cana-550	166	42	steps	step	NOUN
cana-550	166	43	:	:	PUNCT
cana-550	166	44	algorithm	algorithm	NOUN
cana-550	166	45	:	:	PUNCT
cana-550	166	46	1	1	X
cana-550	166	47	.	.	X
cana-550	166	48	initialize	initialize	VERB
cana-550	166	49	the	the	DET
cana-550	166	50	caswideresnet	caswideresnet	NOUN
cana-550	166	51	model	model	NOUN
cana-550	166	52	with	with	ADP
cana-550	166	53	a	a	DET
cana-550	166	54	modified	modify	VERB
cana-550	166	55	resnet	resnet	NOUN
cana-550	166	56	architecture	architecture	NOUN
cana-550	166	57	suitable	suitable	ADJ
cana-550	166	58	for	for	ADP
cana-550	166	59	sleep	sleep	NOUN
cana-550	166	60	apnea	apnea	NOUN
cana-550	166	61	classification	classification	NOUN
cana-550	166	62	.	.	PUNCT
cana-550	167	1	communications	communication	NOUN
cana-550	167	2	on	on	ADP
cana-550	167	3	applied	apply	VERB
cana-550	167	4	nonlinear	nonlinear	ADJ
cana-550	167	5	analysis	analysis	NOUN
cana-550	167	6	issn	issn	NOUN
cana-550	167	7	:	:	PUNCT
cana-550	167	8	1074	1074	NUM
cana-550	167	9	-	-	PUNCT
cana-550	167	10	133x	133x	NUM
cana-550	167	11	vol	vol	NOUN
cana-550	167	12	31	31	NUM
cana-550	167	13	no	no	NOUN
cana-550	167	14	.	.	NOUN
cana-550	167	15	2	2	NUM
cana-550	167	16	(	(	PUNCT
cana-550	167	17	2024	2024	NUM
cana-550	167	18	)	)	PUNCT
cana-550	167	19	279	279	NUM
cana-550	167	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	167	21	ω(u	ω(u	NUM
cana-550	167	22	)	)	PUNCT
cana-550	167	23	=	=	SYM
cana-550	168	1	1	1	NUM
cana-550	168	2	−	−	NOUN
cana-550	168	3	∑	∑	PUNCT
cana-550	168	4	uk	uk	PROPN
cana-550	168	5	n	n	PROPN
cana-550	168	6	k=1	k=1	NOUN
cana-550	168	7	n	n	PROPN
cana-550	168	8	2	2	NUM
cana-550	168	9	.	.	PUNCT
cana-550	169	1	preprocess	preprocess	VERB
cana-550	169	2	the	the	DET
cana-550	169	3	input	input	NOUN
cana-550	169	4	eeg	eeg	NOUN
cana-550	169	5	signals	signal	NOUN
cana-550	169	6	using	use	VERB
cana-550	169	7	the	the	DET
cana-550	169	8	label	label	NOUN
cana-550	169	9	encoder	encoder	NOUN
cana-550	169	10	and	and	CCONJ
cana-550	169	11	tokenizer	tokenizer	NOUN
cana-550	169	12	.	.	PUNCT
cana-550	170	1	3	3	X
cana-550	170	2	.	.	X
cana-550	170	3	apply	apply	VERB
cana-550	170	4	tf	tf	PROPN
cana-550	170	5	-	-	PUNCT
cana-550	170	6	idf	idf	PROPN
cana-550	170	7	transformation	transformation	NOUN
cana-550	170	8	to	to	ADP
cana-550	170	9	the	the	DET
cana-550	170	10	tokenized	tokenized	ADJ
cana-550	170	11	data	datum	NOUN
cana-550	170	12	to	to	PART
cana-550	170	13	obtain	obtain	VERB
cana-550	170	14	word	word	NOUN
cana-550	170	15	scores	score	NOUN
cana-550	170	16	.	.	PUNCT
cana-550	171	1	a	a	DET
cana-550	171	2	=	=	X
cana-550	171	3	r	r	NOUN
cana-550	171	4	∑	∑	PUNCT
cana-550	171	5	−z1	−z1	VERB
cana-550	171	6	minmax	minmax	X
cana-550	171	7	1	1	NUM
cana-550	171	8	4	4	NUM
cana-550	171	9	.	.	PUNCT
cana-550	171	10	train	train	VERB
cana-550	171	11	the	the	DET
cana-550	171	12	caswideresnet	caswideresnet	NOUN
cana-550	171	13	model	model	NOUN
cana-550	171	14	using	use	VERB
cana-550	171	15	the	the	DET
cana-550	171	16	preprocessed	preprocesse	VERB
cana-550	171	17	eeg	eeg	NOUN
cana-550	171	18	data	datum	NOUN
cana-550	171	19	and	and	CCONJ
cana-550	171	20	the	the	DET
cana-550	171	21	fitness	fitness	NOUN
cana-550	171	22	function	function	NOUN
cana-550	171	23	(	(	PUNCT
cana-550	171	24	equation	equation	NOUN
cana-550	171	25	9	9	NUM
cana-550	171	26	)	)	PUNCT
cana-550	171	27	tailored	tailor	VERB
cana-550	171	28	for	for	ADP
cana-550	171	29	sleep	sleep	NOUN
cana-550	171	30	apnea	apnea	VERB
cana-550	171	31	classification	classification	NOUN
cana-550	171	32	.	.	PUNCT
cana-550	172	1	optimize	optimize	VERB
cana-550	172	2	the	the	DET
cana-550	172	3	network	network	NOUN
cana-550	172	4	architecture	architecture	NOUN
cana-550	172	5	using	use	VERB
cana-550	172	6	a	a	DET
cana-550	172	7	genetic	genetic	ADJ
cana-550	172	8	algorithm	algorithm	NOUN
cana-550	172	9	(	(	PUNCT
cana-550	172	10	ga	ga	PROPN
cana-550	172	11	)	)	PUNCT
cana-550	172	12	with	with	ADP
cana-550	172	13	the	the	DET
cana-550	172	14	following	follow	VERB
cana-550	172	15	steps	step	NOUN
cana-550	172	16	:	:	PUNCT
cana-550	172	17	•	•	NOUN
cana-550	172	18	generate	generate	VERB
cana-550	172	19	an	an	DET
cana-550	172	20	initial	initial	ADJ
cana-550	172	21	population	population	NOUN
cana-550	172	22	of	of	ADP
cana-550	172	23	network	network	NOUN
cana-550	172	24	structures	structure	NOUN
cana-550	172	25	(	(	PUNCT
cana-550	172	26	u	u	NOUN
cana-550	172	27	)	)	PUNCT
cana-550	172	28	based	base	VERB
cana-550	172	29	on	on	ADP
cana-550	172	30	mutation	mutation	NOUN
cana-550	172	31	rate	rate	NOUN
cana-550	172	32	and	and	CCONJ
cana-550	172	33	population	population	NOUN
cana-550	172	34	size	size	NOUN
cana-550	172	35	.	.	PUNCT
cana-550	173	1	r	r	NOUN
cana-550	173	2	=	=	SYM
cana-550	173	3	1−r	1−r	PROPN
cana-550	173	4	z2	z2	PROPN
cana-550	173	5	max−z2	max−z2	PROPN
cana-550	173	6	min	min	PROPN
cana-550	173	7	•	•	NUM
cana-550	173	8	evaluate	evaluate	VERB
cana-550	173	9	the	the	DET
cana-550	173	10	fitness	fitness	NOUN
cana-550	173	11	of	of	ADP
cana-550	173	12	each	each	DET
cana-550	173	13	network	network	NOUN
cana-550	173	14	structure	structure	NOUN
cana-550	173	15	using	use	VERB
cana-550	173	16	the	the	DET
cana-550	173	17	fitness	fitness	NOUN
cana-550	173	18	function	function	NOUN
cana-550	173	19	(	(	PUNCT
cana-550	173	20	equation	equation	NOUN
cana-550	173	21	9	9	NUM
cana-550	173	22	)	)	PUNCT
cana-550	173	23	specific	specific	ADJ
cana-550	173	24	to	to	PART
cana-550	173	25	sleep	sleep	VERB
cana-550	173	26	apnea	apnea	VERB
cana-550	173	27	classification	classification	NOUN
cana-550	173	28	.	.	PUNCT
cana-550	174	1	•	•	NUM
cana-550	174	2	select	select	ADJ
cana-550	174	3	parent	parent	NOUN
cana-550	174	4	structures	structure	NOUN
cana-550	174	5	(	(	PUNCT
cana-550	174	6	𝑃(𝑡	𝑃(𝑡	NUM
cana-550	174	7	)	)	PUNCT
cana-550	174	8	)	)	PUNCT
cana-550	174	9	based	base	VERB
cana-550	174	10	on	on	ADP
cana-550	174	11	fitness	fitness	NOUN
cana-550	174	12	scores	score	NOUN
cana-550	174	13	and	and	CCONJ
cana-550	174	14	apply	apply	VERB
cana-550	174	15	crossover	crossover	NOUN
cana-550	174	16	and	and	CCONJ
cana-550	174	17	mutation	mutation	NOUN
cana-550	174	18	to	to	PART
cana-550	174	19	create	create	VERB
cana-550	174	20	child	child	NOUN
cana-550	174	21	structures(𝐶(𝑡	structures(𝐶(𝑡	ADJ
cana-550	174	22	)	)	PUNCT
cana-550	174	23	)	)	PUNCT
cana-550	174	24	.	.	PUNCT
cana-550	175	1	output	output	NOUN
cana-550	175	2	:	:	PUNCT
cana-550	175	3	•	•	NUM
cana-550	175	4	trained	train	VERB
cana-550	175	5	caswideresnet	caswideresnet	NOUN
cana-550	175	6	model	model	NOUN
cana-550	175	7	parameters	parameter	NOUN
cana-550	175	8	•	•	CCONJ
cana-550	175	9	optimized	optimize	VERB
cana-550	175	10	network	network	NOUN
cana-550	175	11	architecture	architecture	NOUN
cana-550	175	12	(	(	PUNCT
cana-550	175	13	u	u	NOUN
cana-550	175	14	)	)	PUNCT
cana-550	175	15	iv	iv	NOUN
cana-550	175	16	.	.	NOUN
cana-550	175	17	results	result	NOUN
cana-550	175	18	and	and	CCONJ
cana-550	175	19	discussion	discussion	VERB
cana-550	175	20	the	the	DET
cana-550	175	21	“	"	PUNCT
cana-550	175	22	results	result	NOUN
cana-550	175	23	and	and	CCONJ
cana-550	175	24	discussion	discussion	NOUN
cana-550	175	25	”	"	PUNCT
cana-550	175	26	section	section	NOUN
cana-550	175	27	of	of	ADP
cana-550	175	28	a	a	DET
cana-550	175	29	research	research	NOUN
cana-550	175	30	paper	paper	NOUN
cana-550	175	31	or	or	CCONJ
cana-550	175	32	project	project	NOUN
cana-550	175	33	report	report	NOUN
cana-550	175	34	typically	typically	ADV
cana-550	175	35	presents	present	VERB
cana-550	175	36	and	and	CCONJ
cana-550	175	37	analyzes	analyze	VERB
cana-550	175	38	the	the	DET
cana-550	175	39	outcomes	outcome	NOUN
cana-550	175	40	of	of	ADP
cana-550	175	41	the	the	DET
cana-550	175	42	study	study	NOUN
cana-550	175	43	or	or	CCONJ
cana-550	175	44	experiment	experiment	NOUN
cana-550	175	45	.	.	PUNCT
cana-550	176	1	it	it	PRON
cana-550	176	2	serves	serve	VERB
cana-550	176	3	as	as	ADP
cana-550	176	4	the	the	DET
cana-550	176	5	core	core	NOUN
cana-550	176	6	of	of	ADP
cana-550	176	7	the	the	DET
cana-550	176	8	document	document	NOUN
cana-550	176	9	where	where	SCONJ
cana-550	176	10	findings	finding	NOUN
cana-550	176	11	are	be	AUX
cana-550	176	12	interpreted	interpret	VERB
cana-550	176	13	,	,	PUNCT
cana-550	176	14	compared	compare	VERB
cana-550	176	15	with	with	ADP
cana-550	176	16	existing	exist	VERB
cana-550	176	17	literature	literature	NOUN
cana-550	176	18	,	,	PUNCT
cana-550	176	19	and	and	CCONJ
cana-550	176	20	implications	implication	NOUN
cana-550	176	21	are	be	AUX
cana-550	176	22	discussed	discuss	VERB
cana-550	176	23	.	.	PUNCT
cana-550	177	1	this	this	DET
cana-550	177	2	section	section	NOUN
cana-550	177	3	is	be	AUX
cana-550	177	4	crucial	crucial	ADJ
cana-550	177	5	for	for	ADP
cana-550	177	6	understanding	understand	VERB
cana-550	177	7	the	the	DET
cana-550	177	8	significance	significance	NOUN
cana-550	177	9	of	of	ADP
cana-550	177	10	the	the	DET
cana-550	177	11	research	research	NOUN
cana-550	177	12	and	and	CCONJ
cana-550	177	13	its	its	PRON
cana-550	177	14	potential	potential	ADJ
cana-550	177	15	impact	impact	NOUN
cana-550	177	16	on	on	ADP
cana-550	177	17	the	the	DET
cana-550	177	18	field	field	NOUN
cana-550	177	19	.	.	PUNCT
cana-550	178	1	4.1	4.1	NUM
cana-550	178	2	performance	performance	NOUN
cana-550	178	3	evaluation	evaluation	NOUN
cana-550	178	4	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-550	178	5	=	=	PUNCT
cana-550	178	6	(	(	PUNCT
cana-550	178	7	𝑇𝑃	𝑇𝑃	PROPN
cana-550	178	8	+	+	CCONJ
cana-550	178	9	𝑇𝑁	𝑇𝑁	PROPN
cana-550	178	10	)	)	PUNCT
cana-550	178	11	(	(	PUNCT
cana-550	178	12	𝑇𝑃	𝑇𝑃	NOUN
cana-550	178	13	+	+	CCONJ
cana-550	178	14	𝐹𝑃	𝐹𝑃	PROPN
cana-550	178	15	+	+	CCONJ
cana-550	178	16	𝑇𝑁	𝑇𝑁	PROPN
cana-550	178	17	+	+	CCONJ
cana-550	178	18	𝐹𝑁	𝐹𝑁	PROPN
cana-550	178	19	)	)	PUNCT
cana-550	178	20	----------(19	----------(19	ADJ
cana-550	178	21	)	)	PUNCT
cana-550	178	22	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-550	178	23	=	=	SYM
cana-550	178	24	𝑇𝑃	𝑇𝑃	PROPN
cana-550	178	25	𝑇𝑃	𝑇𝑃	PROPN
cana-550	178	26	+	+	CCONJ
cana-550	178	27	𝐹𝑃	𝐹𝑃	PROPN
cana-550	178	28	-----------(20	-----------(20	PUNCT
cana-550	178	29	)	)	PUNCT
cana-550	178	30	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-550	178	31	=	=	SYM
cana-550	178	32	𝑇𝑃	𝑇𝑃	PROPN
cana-550	178	33	𝑇𝑃	𝑇𝑃	PROPN
cana-550	178	34	+	+	CCONJ
cana-550	178	35	𝐹𝑁	𝐹𝑁	PROPN
cana-550	178	36	-------------(21	-------------(21	ADJ
cana-550	178	37	)	)	PUNCT
cana-550	178	38	𝐹1	𝐹1	PROPN
cana-550	178	39	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	NOUN
cana-550	178	40	=	=	SYM
cana-550	178	41	2	2	NUM
cana-550	178	42	∗	∗	NOUN
cana-550	178	43	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-550	178	44	∗	∗	NOUN
cana-550	178	45	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-550	178	46	/	/	PUNCT
cana-550	178	47	(	(	PUNCT
cana-550	178	48	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-550	178	49	+	+	CCONJ
cana-550	178	50	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-550	178	51	)	)	PUNCT
cana-550	178	52	--------(22	--------(22	NOUN
cana-550	178	53	)	)	PUNCT
cana-550	178	54	table	table	NOUN
cana-550	178	55	2	2	NUM
cana-550	178	56	:	:	PUNCT
cana-550	178	57	classification	classification	NOUN
cana-550	178	58	performance	performance	NOUN
cana-550	178	59	metrics	metric	NOUN
cana-550	178	60	comparison	comparison	NOUN
cana-550	178	61	algorithm	algorithm	NOUN
cana-550	178	62	accuracy	accuracy	NOUN
cana-550	178	63	precision	precision	NOUN
cana-550	178	64	recall	recall	VERB
cana-550	178	65	f	f	NOUN
cana-550	178	66	-	-	PUNCT
cana-550	178	67	measure	measure	NOUN
cana-550	178	68	existing	exist	VERB
cana-550	178	69	methods	method	NOUN
cana-550	178	70	densenet	densenet	NOUN
cana-550	178	71	96.21	96.21	NUM
cana-550	178	72	92.65	92.65	NUM
cana-550	178	73	94.01	94.01	NUM
cana-550	178	74	94.23	94.23	NUM
cana-550	178	75	vgg-16	vgg-16	SYM
cana-550	178	76	97.35	97.35	NUM
cana-550	178	77	93.87	93.87	NUM
cana-550	178	78	95.10	95.10	NUM
cana-550	178	79	95.07	95.07	NUM
cana-550	178	80	resnet	resnet	NOUN
cana-550	178	81	98.11	98.11	NUM
cana-550	178	82	95.32	95.32	NUM
cana-550	178	83	96.75	96.75	NUM
cana-550	178	84	97.14	97.14	NUM
cana-550	178	85	proposed	propose	VERB
cana-550	178	86	methods	method	NOUN
cana-550	178	87	caswideresnet	caswideresnet	NOUN
cana-550	178	88	99.62	99.62	NUM
cana-550	178	89	97.11	97.11	NUM
cana-550	178	90	97.84	97.84	NUM
cana-550	178	91	98.21	98.21	NUM
cana-550	178	92	communications	communication	NOUN
cana-550	178	93	on	on	ADP
cana-550	178	94	applied	apply	VERB
cana-550	178	95	nonlinear	nonlinear	ADJ
cana-550	178	96	analysis	analysis	NOUN
cana-550	178	97	issn	issn	NOUN
cana-550	178	98	:	:	PUNCT
cana-550	178	99	1074	1074	NUM
cana-550	178	100	-	-	PUNCT
cana-550	178	101	133x	133x	NUM
cana-550	178	102	vol	vol	NOUN
cana-550	178	103	31	31	NUM
cana-550	178	104	no	no	NOUN
cana-550	178	105	.	.	NOUN
cana-550	178	106	2	2	NUM
cana-550	178	107	(	(	PUNCT
cana-550	178	108	2024	2024	NUM
cana-550	178	109	)	)	PUNCT
cana-550	178	110	280	280	NUM
cana-550	178	111	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	178	112	the	the	DET
cana-550	178	113	table	table	NOUN
cana-550	178	114	2	2	NUM
cana-550	178	115	presents	present	NOUN
cana-550	178	116	performance	performance	NOUN
cana-550	178	117	metrics	metric	NOUN
cana-550	178	118	for	for	ADP
cana-550	178	119	existing	exist	VERB
cana-550	178	120	methods	method	NOUN
cana-550	178	121	(	(	PUNCT
cana-550	178	122	densenet	densenet	NOUN
cana-550	178	123	,	,	PUNCT
cana-550	178	124	vgg-16	vgg-16	NOUN
cana-550	178	125	,	,	PUNCT
cana-550	178	126	resnet	resnet	NOUN
cana-550	178	127	)	)	PUNCT
cana-550	178	128	and	and	CCONJ
cana-550	178	129	a	a	DET
cana-550	178	130	proposed	propose	VERB
cana-550	178	131	method	method	NOUN
cana-550	178	132	(	(	PUNCT
cana-550	178	133	caswideresnet	caswideresnet	NOUN
cana-550	178	134	)	)	PUNCT
cana-550	178	135	across	across	ADP
cana-550	178	136	various	various	ADJ
cana-550	178	137	evaluation	evaluation	NOUN
cana-550	178	138	criteria	criterion	NOUN
cana-550	178	139	.	.	PUNCT
cana-550	179	1	firstly	firstly	ADV
cana-550	179	2	,	,	PUNCT
cana-550	179	3	in	in	ADP
cana-550	179	4	terms	term	NOUN
cana-550	179	5	of	of	ADP
cana-550	179	6	accuracy	accuracy	NOUN
cana-550	179	7	,	,	PUNCT
cana-550	179	8	caswideresnet	caswideresnet	NOUN
cana-550	179	9	outperforms	outperform	VERB
cana-550	179	10	all	all	DET
cana-550	179	11	existing	exist	VERB
cana-550	179	12	methods	method	NOUN
cana-550	179	13	with	with	ADP
cana-550	179	14	an	an	DET
cana-550	179	15	accuracy	accuracy	NOUN
cana-550	179	16	of	of	ADP
cana-550	179	17	99.62	99.62	NUM
cana-550	179	18	%	%	NOUN
cana-550	179	19	,	,	PUNCT
cana-550	179	20	showcasing	showcase	VERB
cana-550	179	21	its	its	PRON
cana-550	179	22	superior	superior	ADJ
cana-550	179	23	classification	classification	NOUN
cana-550	179	24	capability	capability	NOUN
cana-550	179	25	.	.	PUNCT
cana-550	180	1	when	when	SCONJ
cana-550	180	2	considering	consider	VERB
cana-550	180	3	precision	precision	NOUN
cana-550	180	4	,	,	PUNCT
cana-550	180	5	which	which	PRON
cana-550	180	6	measures	measure	VERB
cana-550	180	7	the	the	DET
cana-550	180	8	ratio	ratio	NOUN
cana-550	180	9	of	of	ADP
cana-550	180	10	correctly	correctly	ADV
cana-550	180	11	predicted	predict	VERB
cana-550	180	12	positive	positive	ADJ
cana-550	180	13	instances	instance	NOUN
cana-550	180	14	,	,	PUNCT
cana-550	180	15	caswideresnet	caswideresnet	NOUN
cana-550	180	16	also	also	ADV
cana-550	180	17	exhibits	exhibit	VERB
cana-550	180	18	the	the	DET
cana-550	180	19	highest	high	ADJ
cana-550	180	20	precision	precision	NOUN
cana-550	180	21	at	at	ADP
cana-550	180	22	97.11	97.11	NUM
cana-550	180	23	%	%	NOUN
cana-550	180	24	.	.	PUNCT
cana-550	181	1	furthermore	furthermore	ADV
cana-550	181	2	,	,	PUNCT
cana-550	181	3	in	in	ADP
cana-550	181	4	terms	term	NOUN
cana-550	181	5	of	of	ADP
cana-550	181	6	recall	recall	NOUN
cana-550	181	7	(	(	PUNCT
cana-550	181	8	also	also	ADV
cana-550	181	9	known	know	VERB
cana-550	181	10	as	as	ADP
cana-550	181	11	sensitivity	sensitivity	NOUN
cana-550	181	12	)	)	PUNCT
cana-550	181	13	,	,	PUNCT
cana-550	181	14	which	which	PRON
cana-550	181	15	indicates	indicate	VERB
cana-550	181	16	the	the	DET
cana-550	181	17	proportion	proportion	NOUN
cana-550	181	18	of	of	ADP
cana-550	181	19	actual	actual	ADJ
cana-550	181	20	positive	positive	ADJ
cana-550	181	21	instances	instance	NOUN
cana-550	181	22	correctly	correctly	ADV
cana-550	181	23	identified	identify	VERB
cana-550	181	24	,	,	PUNCT
cana-550	181	25	caswideresnet	caswideresnet	NOUN
cana-550	181	26	maintains	maintain	VERB
cana-550	181	27	a	a	DET
cana-550	181	28	high	high	ADJ
cana-550	181	29	value	value	NOUN
cana-550	181	30	of	of	ADP
cana-550	181	31	97.84	97.84	NUM
cana-550	181	32	%	%	NOUN
cana-550	181	33	,	,	PUNCT
cana-550	181	34	highlighting	highlight	VERB
cana-550	181	35	its	its	PRON
cana-550	181	36	ability	ability	NOUN
cana-550	181	37	to	to	PART
cana-550	181	38	capture	capture	VERB
cana-550	181	39	most	most	ADV
cana-550	181	40	positive	positive	ADJ
cana-550	181	41	instances	instance	NOUN
cana-550	181	42	.	.	PUNCT
cana-550	182	1	finally	finally	ADV
cana-550	182	2	,	,	PUNCT
cana-550	182	3	the	the	DET
cana-550	182	4	f	f	NOUN
cana-550	182	5	-	-	PUNCT
cana-550	182	6	measure	measure	NOUN
cana-550	182	7	,	,	PUNCT
cana-550	182	8	which	which	PRON
cana-550	182	9	harmonizes	harmonize	VERB
cana-550	182	10	precision	precision	NOUN
cana-550	182	11	and	and	CCONJ
cana-550	182	12	recall	recall	NOUN
cana-550	182	13	,	,	PUNCT
cana-550	182	14	demonstrates	demonstrate	VERB
cana-550	182	15	caswideresnet	caswideresnet	NOUN
cana-550	182	16	's	's	PART
cana-550	182	17	robust	robust	ADJ
cana-550	182	18	performance	performance	NOUN
cana-550	182	19	with	with	ADP
cana-550	182	20	an	an	DET
cana-550	182	21	f	f	NOUN
cana-550	182	22	-	-	PUNCT
cana-550	182	23	measure	measure	NOUN
cana-550	182	24	of	of	ADP
cana-550	182	25	98.21	98.21	NUM
cana-550	182	26	%	%	NOUN
cana-550	182	27	,	,	PUNCT
cana-550	182	28	further	far	ADV
cana-550	182	29	underscoring	underscore	VERB
cana-550	182	30	its	its	PRON
cana-550	182	31	effectiveness	effectiveness	NOUN
cana-550	182	32	in	in	ADP
cana-550	182	33	classification	classification	NOUN
cana-550	182	34	tasks	task	NOUN
cana-550	182	35	compared	compare	VERB
cana-550	182	36	to	to	ADP
cana-550	182	37	the	the	DET
cana-550	182	38	existing	exist	VERB
cana-550	182	39	methods	method	NOUN
cana-550	182	40	.	.	PUNCT
cana-550	183	1	figure	figure	VERB
cana-550	183	2	3	3	NUM
cana-550	183	3	:	:	PUNCT
cana-550	183	4	accuracy	accuracy	NOUN
cana-550	183	5	comparison	comparison	NOUN
cana-550	183	6	chart	chart	VERB
cana-550	183	7	a	a	DET
cana-550	183	8	chart	chart	NOUN
cana-550	183	9	comparing	compare	VERB
cana-550	183	10	accuracy	accuracy	NOUN
cana-550	183	11	is	be	AUX
cana-550	183	12	shown	show	VERB
cana-550	183	13	in	in	ADP
cana-550	183	14	figure	figure	NOUN
cana-550	183	15	3	3	NUM
cana-550	183	16	.	.	PUNCT
cana-550	184	1	on	on	ADP
cana-550	184	2	one	one	NUM
cana-550	184	3	side	side	NOUN
cana-550	184	4	,	,	PUNCT
cana-550	184	5	can	can	AUX
cana-550	184	6	see	see	VERB
cana-550	184	7	algorithms	algorithm	NOUN
cana-550	184	8	,	,	PUNCT
cana-550	184	9	and	and	CCONJ
cana-550	184	10	on	on	ADP
cana-550	184	11	the	the	DET
cana-550	184	12	other	other	ADJ
cana-550	184	13	,	,	PUNCT
cana-550	184	14	can	can	AUX
cana-550	184	15	see	see	VERB
cana-550	184	16	scores	score	NOUN
cana-550	184	17	for	for	ADP
cana-550	184	18	accuracy	accuracy	NOUN
cana-550	184	19	.	.	PUNCT
cana-550	185	1	figure	figure	VERB
cana-550	185	2	4	4	NUM
cana-550	185	3	:	:	PUNCT
cana-550	185	4	precision	precision	NOUN
cana-550	185	5	values	value	NOUN
cana-550	185	6	comparison	comparison	NOUN
cana-550	185	7	chart	chart	NOUN
cana-550	185	8	communications	communication	NOUN
cana-550	185	9	on	on	ADP
cana-550	185	10	applied	apply	VERB
cana-550	185	11	nonlinear	nonlinear	ADJ
cana-550	185	12	analysis	analysis	NOUN
cana-550	185	13	issn	issn	NOUN
cana-550	185	14	:	:	PUNCT
cana-550	185	15	1074	1074	NUM
cana-550	185	16	-	-	PUNCT
cana-550	185	17	133x	133x	NUM
cana-550	185	18	vol	vol	NOUN
cana-550	185	19	31	31	NUM
cana-550	185	20	no	no	NOUN
cana-550	185	21	.	.	NOUN
cana-550	185	22	2	2	NUM
cana-550	185	23	(	(	PUNCT
cana-550	185	24	2024	2024	NUM
cana-550	185	25	)	)	PUNCT
cana-550	185	26	281	281	NUM
cana-550	185	27	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	185	28	figure	figure	NOUN
cana-550	185	29	4	4	NUM
cana-550	185	30	displays	display	VERB
cana-550	185	31	a	a	DET
cana-550	185	32	chart	chart	NOUN
cana-550	185	33	comparing	compare	VERB
cana-550	185	34	accuracy	accuracy	NOUN
cana-550	185	35	values	value	NOUN
cana-550	185	36	.	.	PUNCT
cana-550	186	1	algorithms	algorithm	NOUN
cana-550	186	2	are	be	AUX
cana-550	186	3	shown	show	VERB
cana-550	186	4	on	on	ADP
cana-550	186	5	the	the	DET
cana-550	186	6	xaxis	xaxis	NOUN
cana-550	186	7	,	,	PUNCT
cana-550	186	8	while	while	SCONJ
cana-550	186	9	accuracy	accuracy	NOUN
cana-550	186	10	values	value	NOUN
cana-550	186	11	are	be	AUX
cana-550	186	12	shown	show	VERB
cana-550	186	13	on	on	ADP
cana-550	186	14	the	the	DET
cana-550	186	15	y	y	NOUN
cana-550	186	16	-	-	PUNCT
cana-550	186	17	axis	axis	NOUN
cana-550	186	18	.	.	PUNCT
cana-550	187	1	figure	figure	NOUN
cana-550	187	2	5	5	NUM
cana-550	187	3	:	:	PUNCT
cana-550	187	4	recall	recall	VERB
cana-550	187	5	comparison	comparison	PROPN
cana-550	187	6	chart	chart	PROPN
cana-550	187	7	recall	recall	PROPN
cana-550	187	8	comparison	comparison	NOUN
cana-550	187	9	table	table	NOUN
cana-550	187	10	is	be	AUX
cana-550	187	11	shown	show	VERB
cana-550	187	12	in	in	ADP
cana-550	187	13	picture	picture	NOUN
cana-550	187	14	5	5	NUM
cana-550	187	15	.	.	PUNCT
cana-550	188	1	recall	recall	NOUN
cana-550	188	2	values	value	NOUN
cana-550	188	3	are	be	AUX
cana-550	188	4	shown	show	VERB
cana-550	188	5	on	on	ADP
cana-550	188	6	the	the	DET
cana-550	188	7	y	y	NOUN
cana-550	188	8	-	-	PUNCT
cana-550	188	9	axis	axis	NOUN
cana-550	188	10	and	and	CCONJ
cana-550	188	11	algorithms	algorithm	NOUN
cana-550	188	12	are	be	AUX
cana-550	188	13	shown	show	VERB
cana-550	188	14	on	on	ADP
cana-550	188	15	the	the	DET
cana-550	188	16	x	x	NOUN
cana-550	188	17	-	-	NOUN
cana-550	188	18	axis	axis	ADJ
cana-550	188	19	.	.	PUNCT
cana-550	189	1	figure	figure	NOUN
cana-550	189	2	6	6	NUM
cana-550	189	3	:	:	PUNCT
cana-550	189	4	f	f	X
cana-550	189	5	-	-	PUNCT
cana-550	189	6	measure	measure	NOUN
cana-550	189	7	value	value	NOUN
cana-550	189	8	comparison	comparison	NOUN
cana-550	189	9	chart	chart	NOUN
cana-550	189	10	figure	figure	VERB
cana-550	189	11	6	6	NUM
cana-550	189	12	displays	display	VERB
cana-550	189	13	a	a	DET
cana-550	189	14	chart	chart	NOUN
cana-550	189	15	comparing	compare	VERB
cana-550	189	16	f	f	ADJ
cana-550	189	17	-	-	PUNCT
cana-550	189	18	measure	measure	NOUN
cana-550	189	19	values	value	NOUN
cana-550	189	20	.	.	PUNCT
cana-550	190	1	on	on	ADP
cana-550	190	2	one	one	NUM
cana-550	190	3	side	side	NOUN
cana-550	190	4	,	,	PUNCT
cana-550	190	5	we	we	PRON
cana-550	190	6	have	have	VERB
cana-550	190	7	algorithms	algorithm	NOUN
cana-550	190	8	,	,	PUNCT
cana-550	190	9	and	and	CCONJ
cana-550	190	10	on	on	ADP
cana-550	190	11	the	the	DET
cana-550	190	12	other	other	ADJ
cana-550	190	13	,	,	PUNCT
cana-550	190	14	we	we	PRON
cana-550	190	15	have	have	VERB
cana-550	190	16	the	the	DET
cana-550	190	17	f	f	NUM
cana-550	190	18	-	-	PUNCT
cana-550	190	19	measure	measure	NOUN
cana-550	190	20	value	value	NOUN
cana-550	190	21	.	.	PUNCT
cana-550	191	1	v.	v.	ADP
cana-550	191	2	conclusion	conclusion	NOUN
cana-550	191	3	in	in	ADP
cana-550	191	4	conclusion	conclusion	NOUN
cana-550	191	5	,	,	PUNCT
cana-550	191	6	our	our	PRON
cana-550	191	7	study	study	NOUN
cana-550	191	8	presents	present	VERB
cana-550	191	9	a	a	DET
cana-550	191	10	novel	novel	ADJ
cana-550	191	11	and	and	CCONJ
cana-550	191	12	effective	effective	ADJ
cana-550	191	13	approach	approach	NOUN
cana-550	191	14	for	for	ADP
cana-550	191	15	sleep	sleep	NOUN
cana-550	191	16	apnea	apnea	VERB
cana-550	191	17	classification	classification	NOUN
cana-550	191	18	and	and	CCONJ
cana-550	191	19	prediction	prediction	NOUN
cana-550	191	20	using	use	VERB
cana-550	191	21	the	the	DET
cana-550	191	22	caswideresnet	caswideresnet	NOUN
cana-550	191	23	algorithm	algorithm	NOUN
cana-550	191	24	.	.	PUNCT
cana-550	192	1	through	through	ADP
cana-550	192	2	the	the	DET
cana-550	192	3	integration	integration	NOUN
cana-550	192	4	of	of	ADP
cana-550	192	5	z	z	NOUN
cana-550	192	6	-	-	PUNCT
cana-550	192	7	score	score	NOUN
cana-550	192	8	normalization	normalization	NOUN
cana-550	192	9	for	for	ADP
cana-550	192	10	data	data	NOUN
cana-550	192	11	standardization	standardization	NOUN
cana-550	192	12	,	,	PUNCT
cana-550	192	13	improved	improve	VERB
cana-550	192	14	pan	pan	ADJ
cana-550	192	15	-	-	ADJ
cana-550	192	16	tompkins	tompkin	NOUN
cana-550	192	17	algorithm	algorithm	NOUN
cana-550	192	18	for	for	ADP
cana-550	192	19	feature	feature	NOUN
cana-550	192	20	selection	selection	NOUN
cana-550	192	21	,	,	PUNCT
cana-550	192	22	and	and	CCONJ
cana-550	192	23	the	the	DET
cana-550	192	24	deep	deep	ADJ
cana-550	192	25	learning	learning	NOUN
cana-550	192	26	capabilities	capability	NOUN
cana-550	192	27	of	of	ADP
cana-550	192	28	caswideresnet	caswideresnet	NOUN
cana-550	192	29	,	,	PUNCT
cana-550	192	30	we	we	PRON
cana-550	192	31	aimed	aim	VERB
cana-550	192	32	to	to	PART
cana-550	192	33	enhance	enhance	VERB
cana-550	192	34	the	the	DET
cana-550	192	35	accuracy	accuracy	NOUN
cana-550	192	36	and	and	CCONJ
cana-550	192	37	reliability	reliability	NOUN
cana-550	192	38	of	of	ADP
cana-550	192	39	sleep	sleep	NOUN
cana-550	192	40	apnea	apnea	NOUN
cana-550	192	41	detection	detection	NOUN
cana-550	192	42	and	and	CCONJ
cana-550	192	43	prediction	prediction	NOUN
cana-550	192	44	.	.	PUNCT
cana-550	193	1	our	our	PRON
cana-550	193	2	results	result	NOUN
cana-550	193	3	on	on	ADP
cana-550	193	4	a	a	DET
cana-550	193	5	diverse	diverse	ADJ
cana-550	193	6	communications	communication	NOUN
cana-550	193	7	on	on	ADP
cana-550	193	8	applied	apply	VERB
cana-550	193	9	nonlinear	nonlinear	ADJ
cana-550	193	10	analysis	analysis	NOUN
cana-550	193	11	issn	issn	NOUN
cana-550	193	12	:	:	PUNCT
cana-550	193	13	1074	1074	NUM
cana-550	193	14	-	-	PUNCT
cana-550	193	15	133x	133x	NUM
cana-550	193	16	vol	vol	NOUN
cana-550	193	17	31	31	NUM
cana-550	193	18	no	no	NOUN
cana-550	193	19	.	.	NOUN
cana-550	193	20	2	2	NUM
cana-550	193	21	(	(	PUNCT
cana-550	193	22	2024	2024	NUM
cana-550	193	23	)	)	PUNCT
cana-550	193	24	282	282	NUM
cana-550	193	25	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	193	26	dataset	dataset	NOUN
cana-550	193	27	affirm	affirm	NOUN
cana-550	193	28	the	the	DET
cana-550	193	29	effectiveness	effectiveness	NOUN
cana-550	193	30	of	of	ADP
cana-550	193	31	these	these	DET
cana-550	193	32	methodologies	methodology	NOUN
cana-550	193	33	,	,	PUNCT
cana-550	193	34	showcasing	showcase	VERB
cana-550	193	35	improved	improve	VERB
cana-550	193	36	data	datum	NOUN
cana-550	193	37	quality	quality	NOUN
cana-550	193	38	with	with	ADP
cana-550	193	39	z	z	NOUN
cana-550	193	40	-	-	PUNCT
cana-550	193	41	score	score	NOUN
cana-550	193	42	normalization	normalization	NOUN
cana-550	193	43	and	and	CCONJ
cana-550	193	44	the	the	DET
cana-550	193	45	identification	identification	NOUN
cana-550	193	46	of	of	ADP
cana-550	193	47	relevant	relevant	ADJ
cana-550	193	48	features	feature	NOUN
cana-550	193	49	crucial	crucial	ADJ
cana-550	193	50	for	for	ADP
cana-550	193	51	accurate	accurate	ADJ
cana-550	193	52	classification	classification	NOUN
cana-550	193	53	and	and	CCONJ
cana-550	193	54	prediction	prediction	NOUN
cana-550	193	55	.	.	PUNCT
cana-550	194	1	firstly	firstly	ADV
cana-550	194	2	,	,	PUNCT
cana-550	194	3	in	in	ADP
cana-550	194	4	terms	term	NOUN
cana-550	194	5	of	of	ADP
cana-550	194	6	accuracy	accuracy	NOUN
cana-550	194	7	,	,	PUNCT
cana-550	194	8	caswideresnet	caswideresnet	NOUN
cana-550	194	9	outperforms	outperform	VERB
cana-550	194	10	all	all	DET
cana-550	194	11	existing	exist	VERB
cana-550	194	12	methods	method	NOUN
cana-550	194	13	with	with	ADP
cana-550	194	14	an	an	DET
cana-550	194	15	accuracy	accuracy	NOUN
cana-550	194	16	of	of	ADP
cana-550	194	17	99.62	99.62	NUM
cana-550	194	18	%	%	NOUN
cana-550	194	19	,	,	PUNCT
cana-550	194	20	showcasing	showcase	VERB
cana-550	194	21	its	its	PRON
cana-550	194	22	superior	superior	ADJ
cana-550	194	23	classification	classification	NOUN
cana-550	194	24	capability	capability	NOUN
cana-550	194	25	.	.	PUNCT
cana-550	195	1	this	this	DET
cana-550	195	2	study	study	NOUN
cana-550	195	3	contributes	contribute	VERB
cana-550	195	4	to	to	ADP
cana-550	195	5	advancing	advance	VERB
cana-550	195	6	the	the	DET
cana-550	195	7	field	field	NOUN
cana-550	195	8	of	of	ADP
cana-550	195	9	sleep	sleep	NOUN
cana-550	195	10	disorder	disorder	NOUN
cana-550	195	11	diagnosis	diagnosis	NOUN
cana-550	195	12	and	and	CCONJ
cana-550	195	13	highlights	highlight	NOUN
cana-550	195	14	the	the	DET
cana-550	195	15	potential	potential	NOUN
cana-550	195	16	of	of	ADP
cana-550	195	17	advanced	advanced	ADJ
cana-550	195	18	algorithms	algorithm	NOUN
cana-550	195	19	in	in	ADP
cana-550	195	20	improving	improve	VERB
cana-550	195	21	patient	patient	ADJ
cana-550	195	22	outcomes	outcome	NOUN
cana-550	195	23	and	and	CCONJ
cana-550	195	24	quality	quality	NOUN
cana-550	195	25	of	of	ADP
cana-550	195	26	life	life	NOUN
cana-550	195	27	through	through	ADP
cana-550	195	28	timely	timely	ADJ
cana-550	195	29	and	and	CCONJ
cana-550	195	30	accurate	accurate	ADJ
cana-550	195	31	sleep	sleep	NOUN
cana-550	195	32	apnea	apnea	NOUN
cana-550	195	33	detection	detection	NOUN
cana-550	195	34	.	.	PUNCT
cana-550	196	1	future	future	ADJ
cana-550	196	2	research	research	NOUN
cana-550	196	3	can	can	AUX
cana-550	196	4	further	far	ADV
cana-550	196	5	explore	explore	VERB
cana-550	196	6	optimization	optimization	NOUN
cana-550	196	7	strategies	strategy	NOUN
cana-550	196	8	and	and	CCONJ
cana-550	196	9	real	real	ADJ
cana-550	196	10	-	-	PUNCT
cana-550	196	11	time	time	NOUN
cana-550	196	12	implementation	implementation	NOUN
cana-550	196	13	of	of	ADP
cana-550	196	14	these	these	DET
cana-550	196	15	algorithms	algorithm	NOUN
cana-550	196	16	in	in	ADP
cana-550	196	17	clinical	clinical	ADJ
cana-550	196	18	settings	setting	NOUN
cana-550	196	19	to	to	PART
cana-550	196	20	translate	translate	VERB
cana-550	196	21	these	these	DET
cana-550	196	22	findings	finding	NOUN
cana-550	196	23	into	into	ADP
cana-550	196	24	practical	practical	ADJ
cana-550	196	25	healthcare	healthcare	NOUN
cana-550	196	26	solutions	solution	NOUN
cana-550	196	27	.	.	PUNCT
cana-550	197	1	reference	reference	NOUN
cana-550	197	2	[	[	X
cana-550	197	3	1	1	NUM
cana-550	197	4	]	]	PUNCT
cana-550	197	5	ahmed	ahmed	PROPN
cana-550	197	6	,	,	PUNCT
cana-550	197	7	s.	s.	PROPN
cana-550	197	8	,	,	PUNCT
cana-550	197	9	hasani	hasani	PROPN
cana-550	197	10	,	,	PUNCT
cana-550	197	11	s.	s.	PROPN
cana-550	197	12	,	,	PUNCT
cana-550	197	13	koone	koone	NOUN
cana-550	197	14	,	,	PUNCT
cana-550	197	15	m.	m.	NOUN
cana-550	197	16	,	,	PUNCT
cana-550	197	17	thirumuruganathan	thirumuruganathan	PROPN
cana-550	197	18	,	,	PUNCT
cana-550	197	19	s.	s.	PROPN
cana-550	197	20	,	,	PUNCT
cana-550	197	21	diaz	diaz	PROPN
cana-550	197	22	-	-	PUNCT
cana-550	197	23	abad	abad	PROPN
cana-550	197	24	,	,	PUNCT
cana-550	197	25	m.	m.	NOUN
cana-550	197	26	,	,	PUNCT
cana-550	197	27	mitchell	mitchell	PROPN
cana-550	197	28	,	,	PUNCT
cana-550	197	29	r.	r.	PROPN
cana-550	197	30	,	,	PUNCT
cana-550	197	31	…	…	PUNCT
cana-550	197	32	das	das	PROPN
cana-550	197	33	,	,	PUNCT
cana-550	197	34	g.	g.	PROPN
cana-550	197	35	(	(	PUNCT
cana-550	197	36	2018	2018	NUM
cana-550	197	37	)	)	PUNCT
cana-550	197	38	.	.	PUNCT
cana-550	198	1	an	an	DET
cana-550	198	2	empirical	empirical	ADJ
cana-550	198	3	study	study	NOUN
cana-550	198	4	of	of	ADP
cana-550	198	5	questionnaires	questionnaire	NOUN
cana-550	198	6	for	for	ADP
cana-550	198	7	the	the	DET
cana-550	198	8	diagnosis	diagnosis	NOUN
cana-550	198	9	of	of	ADP
cana-550	198	10	pediatric	pediatric	ADJ
cana-550	198	11	obstructive	obstructive	ADJ
cana-550	198	12	sleep	sleep	NOUN
cana-550	198	13	apnea	apnea	NOUN
cana-550	198	14	.	.	PUNCT
cana-550	199	1	2018	2018	NUM
cana-550	199	2	40th	40th	ADJ
cana-550	199	3	annual	annual	ADJ
cana-550	199	4	international	international	ADJ
cana-550	199	5	conference	conference	NOUN
cana-550	199	6	of	of	ADP
cana-550	199	7	the	the	DET
cana-550	199	8	ieee	ieee	NOUN
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cana-550	199	10	in	in	ADP
cana-550	199	11	medicine	medicine	NOUN
cana-550	199	12	and	and	CCONJ
cana-550	199	13	biology	biology	NOUN
cana-550	199	14	society	society	NOUN
cana-550	199	15	(	(	PUNCT
cana-550	199	16	embc	embc	PROPN
cana-550	199	17	)	)	PUNCT
cana-550	199	18	.	.	PUNCT
cana-550	200	1	doi:10.1109	doi:10.1109	VERB
cana-550	200	2	/	/	SYM
cana-550	200	3	embc.2018.8513389	embc.2018.8513389	PROPN
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cana-550	200	5	2	2	NUM
cana-550	200	6	]	]	X
cana-550	200	7	alimardani	alimardani	ADJ
cana-550	200	8	,	,	PUNCT
cana-550	200	9	m.	m.	NOUN
cana-550	200	10	,	,	PUNCT
cana-550	200	11	&	&	CCONJ
cana-550	200	12	de	de	PROPN
cana-550	200	13	moor	moor	PROPN
cana-550	200	14	,	,	PUNCT
cana-550	200	15	g.	g.	PROPN
cana-550	200	16	(	(	PUNCT
cana-550	200	17	2021	2021	NUM
cana-550	200	18	)	)	PUNCT
cana-550	200	19	.	.	PUNCT
cana-550	201	1	automatic	automatic	ADJ
cana-550	201	2	classification	classification	NOUN
cana-550	201	3	of	of	ADP
cana-550	201	4	sleep	sleep	NOUN
cana-550	201	5	apnea	apnea	NOUN
cana-550	201	6	type	type	NOUN
cana-550	201	7	and	and	CCONJ
cana-550	201	8	severity	severity	NOUN
cana-550	201	9	using	use	VERB
cana-550	201	10	eeg	eeg	NOUN
cana-550	201	11	signals	signal	NOUN
cana-550	201	12	.	.	PUNCT
cana-550	202	1	in	in	ADP
cana-550	202	2	biodevices	biodevice	NOUN
cana-550	202	3	(	(	PUNCT
cana-550	202	4	pp	pp	ADJ
cana-550	202	5	.	.	PUNCT
cana-550	202	6	121	121	NUM
cana-550	202	7	-	-	SYM
cana-550	202	8	128	128	NUM
cana-550	202	9	)	)	PUNCT
cana-550	202	10	.	.	PUNCT
cana-550	203	1	[	[	X
cana-550	203	2	3	3	NUM
cana-550	203	3	]	]	X
cana-550	203	4	chyad	chyad	NOUN
cana-550	203	5	,	,	PUNCT
cana-550	203	6	m.	m.	PROPN
cana-550	203	7	h.	h.	PROPN
cana-550	203	8	,	,	PUNCT
cana-550	203	9	gharghan	gharghan	PROPN
cana-550	203	10	,	,	PUNCT
cana-550	203	11	s.	s.	PROPN
cana-550	203	12	k.	k.	PROPN
cana-550	203	13	,	,	PUNCT
cana-550	203	14	&	&	CCONJ
cana-550	203	15	hamood	hamood	PROPN
cana-550	203	16	,	,	PUNCT
cana-550	203	17	h.	h.	PROPN
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cana-550	203	19	(	(	PUNCT
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cana-550	203	21	,	,	PUNCT
cana-550	203	22	march	march	PROPN
cana-550	203	23	)	)	PUNCT
cana-550	203	24	.	.	PUNCT
cana-550	204	1	a	a	DET
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cana-550	204	4	detection	detection	NOUN
cana-550	204	5	and	and	CCONJ
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cana-550	204	7	methods	method	NOUN
cana-550	204	8	for	for	ADP
cana-550	204	9	sleep	sleep	NOUN
cana-550	204	10	apnea	apnea	NOUN
cana-550	204	11	.	.	PUNCT
cana-550	205	1	in	in	ADP
cana-550	205	2	iop	iop	PROPN
cana-550	205	3	conference	conference	NOUN
cana-550	205	4	series	series	NOUN
cana-550	205	5	:	:	PUNCT
cana-550	205	6	materials	material	NOUN
cana-550	205	7	science	science	NOUN
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cana-550	205	9	engineering	engineering	NOUN
cana-550	205	10	(	(	PUNCT
cana-550	205	11	vol	vol	NOUN
cana-550	205	12	.	.	PROPN
cana-550	205	13	745	745	NUM
cana-550	205	14	,	,	PUNCT
cana-550	205	15	no	no	INTJ
cana-550	205	16	.	.	NOUN
cana-550	205	17	1	1	NUM
cana-550	205	18	,	,	PUNCT
cana-550	205	19	p.	p.	NOUN
cana-550	205	20	012102	012102	NUM
cana-550	205	21	)	)	PUNCT
cana-550	205	22	.	.	PUNCT
cana-550	206	1	iop	iop	NOUN
cana-550	206	2	publishing	publishing	NOUN
cana-550	206	3	.	.	PUNCT
cana-550	207	1	[	[	X
cana-550	207	2	4	4	NUM
cana-550	207	3	]	]	X
cana-550	207	4	dong	dong	PROPN
cana-550	207	5	,	,	PUNCT
cana-550	207	6	q.	q.	PROPN
cana-550	207	7	,	,	PUNCT
cana-550	207	8	jiraraksopakun	jiraraksopakun	PROPN
cana-550	207	9	,	,	PUNCT
cana-550	207	10	y.	y.	PROPN
cana-550	207	11	,	,	PUNCT
cana-550	207	12	&	&	CCONJ
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cana-550	207	14	,	,	PUNCT
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cana-550	207	16	(	(	PUNCT
cana-550	207	17	2021	2021	NUM
cana-550	207	18	)	)	PUNCT
cana-550	207	19	.	.	PUNCT
cana-550	208	1	convolutional	convolutional	ADJ
cana-550	208	2	neural	neural	ADJ
cana-550	208	3	network	network	NOUN
cana-550	208	4	-	-	PUNCT
cana-550	208	5	based	base	VERB
cana-550	208	6	obstructive	obstructive	ADJ
cana-550	208	7	sleep	sleep	NOUN
cana-550	208	8	apnea	apnea	NOUN
cana-550	208	9	identification	identification	NOUN
cana-550	208	10	.	.	PUNCT
cana-550	209	1	2021	2021	NUM
cana-550	209	2	ieee	ieee	PROPN
cana-550	209	3	6th	6th	ADJ
cana-550	209	4	international	international	ADJ
cana-550	209	5	conference	conference	NOUN
cana-550	209	6	on	on	ADP
cana-550	209	7	computer	computer	NOUN
cana-550	209	8	and	and	CCONJ
cana-550	209	9	communication	communication	NOUN
cana-550	209	10	systems	system	NOUN
cana-550	209	11	(	(	PUNCT
cana-550	209	12	icccs	icccs	PROPN
cana-550	209	13	)	)	PUNCT
cana-550	209	14	.	.	PUNCT
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cana-550	210	2	/	/	SYM
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cana-550	211	2	5	5	NUM
cana-550	211	3	]	]	X
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cana-550	211	5	,	,	PUNCT
cana-550	211	6	s.	s.	PROPN
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cana-550	211	11	h.	h.	PROPN
cana-550	211	12	,	,	PUNCT
cana-550	211	13	al	al	PROPN
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cana-550	211	16	,	,	PUNCT
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cana-550	211	19	,	,	PUNCT
cana-550	211	20	&	&	CCONJ
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cana-550	211	22	,	,	PUNCT
cana-550	211	23	s.	s.	PROPN
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cana-550	212	7	for	for	ADP
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cana-550	212	9	sleep	sleep	NOUN
cana-550	212	10	apnea	apnea	PROPN
cana-550	212	11	prediction	prediction	NOUN
cana-550	212	12	.	.	PUNCT
cana-550	213	1	in	in	ADP
cana-550	213	2	2018	2018	NUM
cana-550	213	3	international	international	ADJ
cana-550	213	4	conference	conference	NOUN
cana-550	213	5	on	on	ADP
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cana-550	213	10	engineering	engineering	NOUN
cana-550	213	11	(	(	PUNCT
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cana-550	214	2	-	-	SYM
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cana-550	214	5	.	.	PUNCT
cana-550	215	1	ieee	ieee	PROPN
cana-550	215	2	.	.	PUNCT
cana-550	216	1	[	[	X
cana-550	216	2	6	6	NUM
cana-550	216	3	]	]	PUNCT
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cana-550	216	5	,	,	PUNCT
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cana-550	216	7	,	,	PUNCT
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cana-550	216	9	,	,	PUNCT
cana-550	216	10	j.	j.	PROPN
cana-550	216	11	s.	s.	PROPN
cana-550	216	12	,	,	PUNCT
cana-550	216	13	dallora	dallora	PROPN
cana-550	216	14	,	,	PUNCT
cana-550	216	15	a.	a.	PROPN
cana-550	216	16	l.	l.	PROPN
cana-550	216	17	,	,	PUNCT
cana-550	216	18	saleem	saleem	PROPN
cana-550	216	19	,	,	PUNCT
cana-550	216	20	m.	m.	NOUN
cana-550	216	21	a.	a.	PROPN
cana-550	216	22	,	,	PUNCT
cana-550	216	23	&	&	CCONJ
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cana-550	216	25	,	,	PUNCT
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cana-550	216	27	(	(	PUNCT
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cana-550	216	29	)	)	PUNCT
cana-550	216	30	.	.	PUNCT
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cana-550	217	13	accurate	accurate	ADJ
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cana-550	217	15	apnea	apnea	NOUN
cana-550	217	16	detection	detection	NOUN
cana-550	217	17	using	use	VERB
cana-550	217	18	electronic	electronic	ADJ
cana-550	217	19	health	health	NOUN
cana-550	217	20	data	datum	NOUN
cana-550	217	21	.	.	PUNCT
cana-550	218	1	international	international	ADJ
cana-550	218	2	journal	journal	PROPN
cana-550	218	3	of	of	ADP
cana-550	218	4	computational	computational	ADJ
cana-550	218	5	intelligence	intelligence	NOUN
cana-550	218	6	systems	system	NOUN
cana-550	218	7	,	,	PUNCT
cana-550	218	8	16(1	16(1	NUM
cana-550	218	9	)	)	PUNCT
cana-550	218	10	,	,	PUNCT
cana-550	218	11	188	188	NUM
cana-550	218	12	.	.	PUNCT
cana-550	219	1	[	[	X
cana-550	219	2	7	7	NUM
cana-550	219	3	]	]	X
cana-550	219	4	johnson	johnson	PROPN
cana-550	219	5	,	,	PUNCT
cana-550	219	6	d.	d.	PROPN
cana-550	219	7	a.	a.	PROPN
cana-550	219	8	,	,	PUNCT
cana-550	219	9	sofer	sofer	PROPN
cana-550	219	10	,	,	PUNCT
cana-550	219	11	t.	t.	PROPN
cana-550	219	12	,	,	PUNCT
cana-550	219	13	guo	guo	PROPN
cana-550	219	14	,	,	PUNCT
cana-550	219	15	n.	n.	PROPN
cana-550	219	16	,	,	PUNCT
cana-550	219	17	wilson	wilson	PROPN
cana-550	219	18	,	,	PUNCT
cana-550	219	19	j.	j.	PROPN
cana-550	219	20	,	,	PUNCT
cana-550	219	21	&	&	CCONJ
cana-550	219	22	redline	redline	PROPN
cana-550	219	23	,	,	PUNCT
cana-550	219	24	s.	s.	PROPN
cana-550	219	25	(	(	PUNCT
cana-550	219	26	2020	2020	NUM
cana-550	219	27	)	)	PUNCT
cana-550	219	28	.	.	PUNCT
cana-550	220	1	a	a	DET
cana-550	220	2	sleep	sleep	NOUN
cana-550	220	3	apnea	apnea	NOUN
cana-550	220	4	prediction	prediction	NOUN
cana-550	220	5	model	model	NOUN
cana-550	220	6	developed	develop	VERB
cana-550	220	7	for	for	ADP
cana-550	220	8	african	african	ADJ
cana-550	220	9	americans	americans	PROPN
cana-550	220	10	:	:	PUNCT
cana-550	220	11	the	the	DET
cana-550	220	12	jackson	jackson	PROPN
cana-550	220	13	heart	heart	PROPN
cana-550	220	14	sleep	sleep	PROPN
cana-550	220	15	study	study	PROPN
cana-550	220	16	.	.	PUNCT
cana-550	221	1	journal	journal	NOUN
cana-550	221	2	of	of	ADP
cana-550	221	3	clinical	clinical	ADJ
cana-550	221	4	sleep	sleep	NOUN
cana-550	221	5	medicine	medicine	NOUN
cana-550	221	6	,	,	PUNCT
cana-550	221	7	16(7	16(7	NUM
cana-550	221	8	)	)	PUNCT
cana-550	221	9	,	,	PUNCT
cana-550	221	10	1171	1171	NUM
cana-550	221	11	-	-	SYM
cana-550	221	12	1178	1178	NUM
cana-550	221	13	.	.	PUNCT
cana-550	222	1	[	[	X
cana-550	222	2	8	8	NUM
cana-550	222	3	]	]	X
cana-550	222	4	learning	learning	NOUN
cana-550	222	5	,	,	PUNCT
cana-550	222	6	m.	m.	PROPN
cana-550	222	7	u.	u.	PROPN
cana-550	222	8	s.	s.	PROPN
cana-550	222	9	m.	m.	PROPN
cana-550	222	10	(	(	PUNCT
cana-550	222	11	2020	2020	NUM
cana-550	222	12	)	)	PUNCT
cana-550	222	13	.	.	PUNCT
cana-550	223	1	obstructive	obstructive	ADJ
cana-550	223	2	sleep	sleep	PROPN
cana-550	223	3	apnea	apnea	PROPN
cana-550	223	4	:	:	PUNCT
cana-550	223	5	a	a	DET
cana-550	223	6	prediction	prediction	NOUN
cana-550	223	7	model	model	NOUN
cana-550	223	8	using	use	VERB
cana-550	223	9	supervised	supervised	ADJ
cana-550	223	10	machine	machine	NOUN
cana-550	223	11	learning	learning	NOUN
cana-550	223	12	method	method	NOUN
cana-550	223	13	.	.	PUNCT
cana-550	224	1	the	the	DET
cana-550	224	2	importance	importance	NOUN
cana-550	224	3	of	of	ADP
cana-550	224	4	health	health	NOUN
cana-550	224	5	informatics	informatic	NOUN
cana-550	224	6	in	in	ADP
cana-550	224	7	public	public	ADJ
cana-550	224	8	health	health	NOUN
cana-550	224	9	during	during	ADP
cana-550	224	10	a	a	DET
cana-550	224	11	pandemic	pandemic	ADJ
cana-550	224	12	,	,	PUNCT
cana-550	224	13	272	272	NUM
cana-550	224	14	,	,	PUNCT
cana-550	224	15	387	387	NUM
cana-550	224	16	.	.	PUNCT
cana-550	225	1	[	[	X
cana-550	225	2	9	9	NUM
cana-550	225	3	]	]	SYM
cana-550	225	4	mahismita	mahismita	NOUN
cana-550	225	5	,	,	PUNCT
cana-550	225	6	p.	p.	PROPN
cana-550	225	7	,	,	PUNCT
cana-550	225	8	chandra	chandra	PROPN
cana-550	225	9	,	,	PUNCT
cana-550	225	10	o.	o.	PROPN
cana-550	225	11	u.	u.	PROPN
cana-550	225	12	,	,	PUNCT
cana-550	225	13	dipti	dipti	PROPN
cana-550	225	14	,	,	PUNCT
cana-550	225	15	g.	g.	PROPN
cana-550	225	16	,	,	PUNCT
cana-550	225	17	anshul	anshul	PROPN
cana-550	225	18	,	,	PUNCT
cana-550	225	19	j.	j.	PROPN
cana-550	225	20	,	,	PUNCT
cana-550	225	21	shrabani	shrabani	PROPN
cana-550	225	22	,	,	PUNCT
cana-550	225	23	p.	p.	NOUN
cana-550	225	24	,	,	PUNCT
cana-550	225	25	baboo	baboo	PROPN
cana-550	225	26	,	,	PUNCT
cana-550	225	27	s.	s.	PROPN
cana-550	225	28	r.	r.	PROPN
cana-550	225	29	,	,	PUNCT
cana-550	225	30	&	&	CCONJ
cana-550	225	31	sameer	sameer	PROPN
cana-550	225	32	,	,	PUNCT
cana-550	225	33	v.	v.	PROPN
cana-550	225	34	(	(	PUNCT
cana-550	225	35	2019	2019	NUM
cana-550	225	36	)	)	PUNCT
cana-550	225	37	.	.	PUNCT
cana-550	226	1	utility	utility	NOUN
cana-550	226	2	of	of	ADP
cana-550	226	3	combination	combination	NOUN
cana-550	226	4	of	of	ADP
cana-550	226	5	sleep	sleep	NOUN
cana-550	226	6	questionnaires	questionnaire	NOUN
cana-550	226	7	in	in	ADP
cana-550	226	8	predicting	predict	VERB
cana-550	226	9	obstructive	obstructive	ADJ
cana-550	226	10	sleep	sleep	NOUN
cana-550	226	11	apnea	apnea	NOUN
cana-550	226	12	and	and	CCONJ
cana-550	226	13	its	its	PRON
cana-550	226	14	correlation	correlation	NOUN
cana-550	226	15	with	with	ADP
cana-550	226	16	polysomnography	polysomnography	NOUN
cana-550	226	17	.	.	PUNCT
cana-550	227	1	indian	indian	PROPN
cana-550	227	2	j	j	PROPN
cana-550	227	3	sleep	sleep	PROPN
cana-550	227	4	med	me	VERB
cana-550	227	5	,	,	PUNCT
cana-550	227	6	14	14	NUM
cana-550	227	7	,	,	PUNCT
cana-550	227	8	61	61	NUM
cana-550	227	9	-	-	SYM
cana-550	227	10	6	6	NUM
cana-550	227	11	.	.	PUNCT
cana-550	228	1	[	[	X
cana-550	228	2	10	10	NUM
cana-550	228	3	]	]	X
cana-550	228	4	manoochehri	manoochehri	NOUN
cana-550	228	5	,	,	PUNCT
cana-550	228	6	z.	z.	PROPN
cana-550	228	7	,	,	PUNCT
cana-550	228	8	rezaei	rezaei	PROPN
cana-550	228	9	,	,	PUNCT
cana-550	228	10	m.	m.	NOUN
cana-550	228	11	,	,	PUNCT
cana-550	228	12	salari	salari	ADJ
cana-550	228	13	,	,	PUNCT
cana-550	228	14	n.	n.	NOUN
cana-550	228	15	,	,	PUNCT
cana-550	228	16	khazaie	khazaie	PROPN
cana-550	228	17	,	,	PUNCT
cana-550	228	18	h.	h.	PROPN
cana-550	228	19	,	,	PUNCT
cana-550	228	20	&	&	CCONJ
cana-550	228	21	manoochehri	manoochehri	PROPN
cana-550	228	22	,	,	PUNCT
cana-550	228	23	s.	s.	PROPN
cana-550	228	24	(	(	PUNCT
cana-550	228	25	2018	2018	NUM
cana-550	228	26	)	)	PUNCT
cana-550	228	27	.	.	PUNCT
cana-550	229	1	the	the	DET
cana-550	229	2	prediction	prediction	NOUN
cana-550	229	3	of	of	ADP
cana-550	229	4	obstructive	obstructive	ADJ
cana-550	229	5	sleep	sleep	NOUN
cana-550	229	6	apnea	apnea	NOUN
cana-550	229	7	using	use	VERB
cana-550	229	8	data	datum	NOUN
cana-550	229	9	mining	mining	NOUN
cana-550	229	10	approaches	approach	NOUN
cana-550	229	11	.	.	PUNCT
cana-550	230	1	archives	archive	NOUN
cana-550	230	2	of	of	ADP
cana-550	230	3	iranian	iranian	ADJ
cana-550	230	4	medicine	medicine	NOUN
cana-550	230	5	,	,	PUNCT
cana-550	230	6	21(10	21(10	PROPN
cana-550	230	7	)	)	PUNCT
cana-550	230	8	,	,	PUNCT
cana-550	230	9	460	460	NUM
cana-550	230	10	-	-	SYM
cana-550	230	11	465	465	NUM
cana-550	230	12	.	.	PUNCT
cana-550	231	1	[	[	X
cana-550	231	2	11	11	NUM
cana-550	231	3	]	]	X
cana-550	231	4	mazzotti	mazzotti	PROPN
cana-550	231	5	,	,	PUNCT
cana-550	231	6	d.	d.	PROPN
cana-550	231	7	r.	r.	PROPN
cana-550	231	8	,	,	PUNCT
cana-550	231	9	keenan	keenan	PROPN
cana-550	231	10	,	,	PUNCT
cana-550	231	11	b.	b.	PROPN
cana-550	231	12	t.	t.	PROPN
cana-550	231	13	,	,	PUNCT
cana-550	231	14	lim	lim	PROPN
cana-550	231	15	,	,	PUNCT
cana-550	231	16	d.	d.	PROPN
cana-550	231	17	c.	c.	PROPN
cana-550	231	18	,	,	PUNCT
cana-550	231	19	gottlieb	gottlieb	PROPN
cana-550	231	20	,	,	PUNCT
cana-550	231	21	d.	d.	PROPN
cana-550	231	22	j.	j.	PROPN
cana-550	231	23	,	,	PUNCT
cana-550	231	24	kim	kim	PROPN
cana-550	231	25	,	,	PUNCT
cana-550	231	26	j.	j.	PROPN
cana-550	231	27	,	,	PUNCT
cana-550	231	28	&	&	CCONJ
cana-550	231	29	pack	pack	PROPN
cana-550	231	30	,	,	PUNCT
cana-550	231	31	a.	a.	NOUN
cana-550	231	32	i.	i.	PROPN
cana-550	231	33	(	(	PUNCT
cana-550	231	34	2019	2019	NUM
cana-550	231	35	)	)	PUNCT
cana-550	231	36	.	.	PUNCT
cana-550	232	1	symptom	symptom	NOUN
cana-550	232	2	subtypes	subtype	NOUN
cana-550	232	3	of	of	ADP
cana-550	232	4	obstructive	obstructive	ADJ
cana-550	232	5	sleep	sleep	NOUN
cana-550	232	6	apnea	apnea	NOUN
cana-550	232	7	predict	predict	VERB
cana-550	232	8	incidence	incidence	NOUN
cana-550	232	9	of	of	ADP
cana-550	232	10	cardiovascular	cardiovascular	ADJ
cana-550	232	11	outcomes	outcome	NOUN
cana-550	232	12	.	.	PUNCT
cana-550	233	1	american	american	ADJ
cana-550	233	2	journal	journal	PROPN
cana-550	233	3	of	of	ADP
cana-550	233	4	respiratory	respiratory	ADJ
cana-550	233	5	and	and	CCONJ
cana-550	233	6	critical	critical	ADJ
cana-550	233	7	care	care	NOUN
cana-550	233	8	medicine	medicine	NOUN
cana-550	233	9	,	,	PUNCT
cana-550	233	10	200(4	200(4	NUM
cana-550	233	11	)	)	PUNCT
cana-550	233	12	,	,	PUNCT
cana-550	233	13	493	493	NUM
cana-550	233	14	-	-	SYM
cana-550	233	15	506	506	NUM
cana-550	233	16	.	.	PUNCT
cana-550	234	1	[	[	X
cana-550	234	2	12	12	NUM
cana-550	234	3	]	]	X
cana-550	234	4	mencar	mencar	NOUN
cana-550	234	5	,	,	PUNCT
cana-550	234	6	c.	c.	NOUN
cana-550	234	7	,	,	PUNCT
cana-550	234	8	gallo	gallo	PROPN
cana-550	234	9	,	,	PUNCT
cana-550	234	10	c.	c.	PROPN
cana-550	234	11	,	,	PUNCT
cana-550	234	12	mantero	mantero	NOUN
cana-550	234	13	,	,	PUNCT
cana-550	234	14	m.	m.	NOUN
cana-550	234	15	,	,	PUNCT
cana-550	234	16	tarsia	tarsia	NOUN
cana-550	234	17	,	,	PUNCT
cana-550	234	18	p.	p.	PROPN
cana-550	234	19	,	,	PUNCT
cana-550	234	20	carpagnano	carpagnano	PROPN
cana-550	234	21	,	,	PUNCT
cana-550	234	22	g.	g.	PROPN
cana-550	234	23	e.	e.	PROPN
cana-550	234	24	,	,	PUNCT
cana-550	234	25	foschino	foschino	PROPN
cana-550	234	26	barbaro	barbaro	NOUN
cana-550	234	27	,	,	PUNCT
cana-550	234	28	m.	m.	NOUN
cana-550	234	29	p.	p.	PROPN
cana-550	234	30	,	,	PUNCT
cana-550	234	31	&	&	CCONJ
cana-550	234	32	lacedonia	lacedonia	PROPN
cana-550	234	33	,	,	PUNCT
cana-550	234	34	d.	d.	PROPN
cana-550	234	35	(	(	PUNCT
cana-550	234	36	2020	2020	NUM
cana-550	234	37	)	)	PUNCT
cana-550	234	38	.	.	PUNCT
cana-550	235	1	application	application	NOUN
cana-550	235	2	of	of	ADP
cana-550	235	3	machine	machine	NOUN
cana-550	235	4	learning	learn	VERB
cana-550	235	5	to	to	PART
cana-550	235	6	predict	predict	VERB
cana-550	235	7	obstructive	obstructive	ADJ
cana-550	235	8	sleep	sleep	NOUN
cana-550	235	9	apnea	apnea	PROPN
cana-550	235	10	syndrome	syndrome	NOUN
cana-550	235	11	severity	severity	NOUN
cana-550	235	12	.	.	PUNCT
cana-550	236	1	health	health	NOUN
cana-550	236	2	informatics	informatics	PROPN
cana-550	236	3	journal	journal	PROPN
cana-550	236	4	,	,	PUNCT
cana-550	236	5	26(1	26(1	NUM
cana-550	236	6	)	)	PUNCT
cana-550	236	7	,	,	PUNCT
cana-550	236	8	298	298	NUM
cana-550	236	9	-	-	SYM
cana-550	236	10	317	317	NUM
cana-550	236	11	.	.	PUNCT
cana-550	237	1	[	[	X
cana-550	237	2	13	13	NUM
cana-550	237	3	]	]	PUNCT
cana-550	237	4	mubeen	mubeen	NOUN
cana-550	237	5	,	,	PUNCT
cana-550	237	6	n.	n.	PROPN
cana-550	237	7	,	,	PUNCT
cana-550	237	8	basha	basha	PROPN
cana-550	237	9	,	,	PUNCT
cana-550	237	10	s.	s.	PROPN
cana-550	237	11	f.	f.	PROPN
cana-550	237	12	,	,	PUNCT
cana-550	237	13	&	&	CCONJ
cana-550	237	14	women	women	PROPN
cana-550	237	15	,	,	PUNCT
cana-550	237	16	j.	j.	PROPN
cana-550	237	17	n.	n.	PROPN
cana-550	237	18	t.	t.	PROPN
cana-550	237	19	u.	u.	PROPN
cana-550	237	20	a.	a.	PROPN
cana-550	237	21	(	(	PUNCT
cana-550	237	22	2022	2022	NUM
cana-550	237	23	)	)	PUNCT
cana-550	237	24	.	.	PUNCT
cana-550	238	1	deep	deep	ADJ
cana-550	238	2	learning	learning	NOUN
cana-550	238	3	of	of	ADP
cana-550	238	4	facial	facial	ADJ
cana-550	238	5	depth	depth	NOUN
cana-550	238	6	maps	map	NOUN
cana-550	238	7	for	for	ADP
cana-550	238	8	obstructive	obstructive	ADJ
cana-550	238	9	sleep	sleep	NOUN
cana-550	238	10	apnea	apnea	PROPN
cana-550	238	11	prediction	prediction	NOUN
cana-550	238	12	.	.	PUNCT
cana-550	239	1	journal	journal	NOUN
cana-550	239	2	of	of	ADP
cana-550	239	3	engineering	engineering	NOUN
cana-550	239	4	sciences	science	NOUN
cana-550	239	5	,	,	PUNCT
cana-550	239	6	13(12	13(12	NUM
cana-550	239	7	)	)	PUNCT
cana-550	239	8	.	.	PUNCT
cana-550	240	1	communications	communication	NOUN
cana-550	240	2	on	on	ADP
cana-550	240	3	applied	apply	VERB
cana-550	240	4	nonlinear	nonlinear	ADJ
cana-550	240	5	analysis	analysis	NOUN
cana-550	240	6	issn	issn	NOUN
cana-550	240	7	:	:	PUNCT
cana-550	240	8	1074	1074	NUM
cana-550	240	9	-	-	PUNCT
cana-550	240	10	133x	133x	NUM
cana-550	240	11	vol	vol	NOUN
cana-550	240	12	31	31	NUM
cana-550	240	13	no	no	NOUN
cana-550	240	14	.	.	NOUN
cana-550	240	15	2	2	NUM
cana-550	240	16	(	(	PUNCT
cana-550	240	17	2024	2024	NUM
cana-550	240	18	)	)	PUNCT
cana-550	240	19	283	283	NUM
cana-550	240	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-550	241	1	[	[	X
cana-550	241	2	14	14	NUM
cana-550	241	3	]	]	X
cana-550	241	4	onargan	onargan	NOUN
cana-550	241	5	,	,	PUNCT
cana-550	241	6	a.	a.	NOUN
cana-550	241	7	,	,	PUNCT
cana-550	241	8	gavcar	gavcar	NOUN
cana-550	241	9	,	,	PUNCT
cana-550	241	10	b.	b.	PROPN
cana-550	241	11	,	,	PUNCT
cana-550	241	12	çalışkan	çalışkan	PROPN
cana-550	241	13	,	,	PUNCT
cana-550	241	14	g.	g.	PROPN
cana-550	241	15	,	,	PUNCT
cana-550	241	16	&	&	CCONJ
cana-550	241	17	akan	akan	PROPN
cana-550	241	18	,	,	PUNCT
cana-550	241	19	a.	a.	NOUN
cana-550	241	20	(	(	PUNCT
cana-550	241	21	2021	2021	NUM
cana-550	241	22	,	,	PUNCT
cana-550	241	23	november	november	PROPN
cana-550	241	24	)	)	PUNCT
cana-550	241	25	.	.	PUNCT
cana-550	242	1	prediction	prediction	NOUN
cana-550	242	2	of	of	ADP
cana-550	242	3	sleep	sleep	NOUN
cana-550	242	4	apnea	apnea	NOUN
cana-550	242	5	using	use	VERB
cana-550	242	6	eeg	eeg	NOUN
cana-550	242	7	signals	signal	NOUN
cana-550	242	8	and	and	CCONJ
cana-550	242	9	machine	machine	NOUN
cana-550	242	10	learning	learn	VERB
cana-550	242	11	algorithms	algorithm	NOUN
cana-550	242	12	.	.	PUNCT
cana-550	243	1	in	in	ADP
cana-550	243	2	2021	2021	NUM
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cana-550	243	6	(	(	PUNCT
cana-550	243	7	tiptekno	tiptekno	PROPN
cana-550	243	8	)	)	PUNCT
cana-550	243	9	(	(	PUNCT
cana-550	243	10	pp	pp	X
cana-550	243	11	.	.	PUNCT
cana-550	244	1	1	1	NUM
cana-550	244	2	-	-	SYM
cana-550	244	3	4	4	NUM
cana-550	244	4	)	)	PUNCT
cana-550	244	5	.	.	PUNCT
cana-550	245	1	ieee	ieee	NOUN
cana-550	245	2	.	.	PUNCT
cana-550	246	1	[	[	X
cana-550	246	2	15	15	NUM
cana-550	246	3	]	]	X
cana-550	246	4	parekh	parekh	PROPN
cana-550	246	5	,	,	PUNCT
cana-550	246	6	a.	a.	PROPN
cana-550	246	7	,	,	PUNCT
cana-550	246	8	tolbert	tolbert	PROPN
cana-550	246	9	,	,	PUNCT
cana-550	246	10	t.	t.	PROPN
cana-550	246	11	m.	m.	PROPN
cana-550	246	12	,	,	PUNCT
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cana-550	246	14	,	,	PUNCT
cana-550	246	15	a.	a.	NOUN
cana-550	246	16	m.	m.	NOUN
cana-550	246	17	,	,	PUNCT
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cana-550	246	19	-	-	PROPN
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cana-550	246	21	,	,	PUNCT
cana-550	246	22	j.	j.	PROPN
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cana-550	246	24	osorio	osorio	PROPN
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cana-550	246	26	r.	r.	PROPN
cana-550	246	27	s.	s.	PROPN
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cana-550	246	29	treml	treml	PROPN
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cana-550	246	32	,	,	PUNCT
cana-550	246	33	...	...	PUNCT
cana-550	246	34	&	&	CCONJ
cana-550	246	35	rapoport	rapoport	PROPN
cana-550	246	36	,	,	PUNCT
cana-550	246	37	d.	d.	PROPN
cana-550	246	38	m.	m.	PROPN
cana-550	246	39	(	(	PUNCT
cana-550	246	40	2021	2021	NUM
cana-550	246	41	)	)	PUNCT
cana-550	246	42	.	.	PUNCT
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cana-550	247	3	apnea	apnea	VERB
cana-550	247	4	one	one	NUM
cana-550	247	5	breath	breath	NOUN
cana-550	247	6	at	at	ADP
cana-550	247	7	a	a	DET
cana-550	247	8	time	time	NOUN
cana-550	247	9	:	:	PUNCT
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cana-550	247	12	approach	approach	NOUN
cana-550	247	13	for	for	ADP
cana-550	247	14	separating	separate	VERB
cana-550	247	15	obstructive	obstructive	ADV
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cana-550	247	17	central	central	ADJ
cana-550	247	18	sleep	sleep	NOUN
cana-550	247	19	-	-	PUNCT
cana-550	247	20	disordered	disordered	ADJ
cana-550	247	21	breathing	breathing	NOUN
cana-550	247	22	.	.	PUNCT
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cana-550	248	2	journal	journal	PROPN
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cana-550	248	4	respiratory	respiratory	ADJ
cana-550	248	5	and	and	CCONJ
cana-550	248	6	critical	critical	ADJ
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cana-550	248	8	medicine	medicine	NOUN
cana-550	248	9	,	,	PUNCT
cana-550	248	10	204(12	204(12	NUM
cana-550	248	11	)	)	PUNCT
cana-550	248	12	,	,	PUNCT
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cana-550	248	14	-	-	SYM
cana-550	248	15	1462	1462	NUM
cana-550	248	16	.	.	PUNCT
cana-550	249	1	[	[	X
cana-550	249	2	16	16	NUM
cana-550	249	3	]	]	X
cana-550	249	4	phan	phan	PROPN
cana-550	249	5	,	,	PUNCT
cana-550	249	6	h.	h.	PROPN
cana-550	249	7	,	,	PUNCT
cana-550	249	8	andreotti	andreotti	PROPN
cana-550	249	9	,	,	PUNCT
cana-550	249	10	f.	f.	PROPN
cana-550	249	11	,	,	PUNCT
cana-550	249	12	cooray	cooray	VERB
cana-550	249	13	,	,	PUNCT
cana-550	249	14	n.	n.	NOUN
cana-550	249	15	,	,	PUNCT
cana-550	249	16	chén	chén	NOUN
cana-550	249	17	,	,	PUNCT
cana-550	249	18	o.	o.	NOUN
cana-550	249	19	y.	y.	PROPN
cana-550	249	20	,	,	PUNCT
cana-550	249	21	&	&	CCONJ
cana-550	249	22	de	de	X
cana-550	249	23	vos	vos	PROPN
cana-550	249	24	,	,	PUNCT
cana-550	249	25	m.	m.	NOUN
cana-550	249	26	(	(	PUNCT
cana-550	249	27	2018	2018	NUM
cana-550	249	28	)	)	PUNCT
cana-550	249	29	.	.	PUNCT
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cana-550	250	2	classification	classification	NOUN
cana-550	250	3	and	and	CCONJ
cana-550	250	4	prediction	prediction	NOUN
cana-550	250	5	cnn	cnn	PROPN
cana-550	250	6	framework	framework	NOUN
cana-550	250	7	for	for	ADP
cana-550	250	8	automatic	automatic	ADJ
cana-550	250	9	sleep	sleep	NOUN
cana-550	250	10	stage	stage	NOUN
cana-550	250	11	classification	classification	NOUN
cana-550	250	12	.	.	PUNCT
cana-550	251	1	ieee	ieee	NOUN
cana-550	251	2	transactions	transaction	NOUN
cana-550	251	3	on	on	ADP
cana-550	251	4	biomedical	biomedical	ADJ
cana-550	251	5	engineering	engineering	NOUN
cana-550	251	6	,	,	PUNCT
cana-550	251	7	66(5	66(5	PROPN
cana-550	251	8	)	)	PUNCT
cana-550	251	9	,	,	PUNCT
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cana-550	251	11	-	-	SYM
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cana-550	251	13	.	.	PUNCT
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cana-550	252	2	17	17	NUM
cana-550	252	3	]	]	SYM
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cana-550	252	5	,	,	PUNCT
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cana-550	252	7	,	,	PUNCT
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cana-550	252	9	,	,	PUNCT
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cana-550	252	18	)	)	PUNCT
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cana-550	253	6	to	to	PART
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cana-550	253	9	to	to	PART
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cana-550	253	12	:	:	PUNCT
cana-550	253	13	a	a	DET
cana-550	253	14	systematic	systematic	ADJ
cana-550	253	15	review	review	NOUN
cana-550	253	16	.	.	PUNCT
cana-550	254	1	computer	computer	NOUN
cana-550	254	2	methods	method	NOUN
cana-550	254	3	and	and	CCONJ
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cana-550	254	5	in	in	ADP
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cana-550	254	7	,	,	PUNCT
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cana-550	254	9	,	,	PUNCT
cana-550	254	10	265–274	265–274	NUM
cana-550	254	11	.	.	PUNCT
cana-550	255	1	doi:10.1016	doi:10.1016	PROPN
cana-550	255	2	/	/	SYM
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cana-550	256	5	,	,	PUNCT
cana-550	256	6	h.	h.	PROPN
cana-550	256	7	,	,	PUNCT
cana-550	256	8	tripathy	tripathy	PROPN
cana-550	256	9	,	,	PUNCT
cana-550	256	10	r.	r.	PROPN
cana-550	256	11	k.	k.	PROPN
cana-550	256	12	,	,	PUNCT
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cana-550	256	14	pachori	pachori	PROPN
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cana-550	257	7	beat	beat	NOUN
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cana-550	257	17	singular	singular	NOUN
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cana-550	258	6	,	,	PUNCT
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cana-550	258	8	.	.	PUNCT
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cana-550	262	21	.	.	PUNCT
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cana-550	263	8	,	,	PUNCT
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cana-550	264	3	]	]	X
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cana-550	264	6	x.	x.	PROPN
cana-550	264	7	,	,	PUNCT
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cana-550	264	9	,	,	PUNCT
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cana-550	264	21	,	,	PUNCT
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cana-550	265	13	.	.	PUNCT
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cana-550	266	5	)	)	PUNCT
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