id	sid	tid	token	lemma	pos
globalce-125	1	1	j	j	PROPN
globalce-125	1	2	global	global	ADJ
globalce-125	1	3	clinical	clinical	ADJ
globalce-125	1	4	engineering	engineering	NOUN
globalce-125	1	5	vol.5	vol.5	ADJ
globalce-125	1	6	issue	issue	NOUN
globalce-125	1	7	1	1	NUM
globalce-125	1	8	:	:	SYM
globalce-125	1	9	2022	2022	NUM
globalce-125	1	10	8	8	NUM
globalce-125	1	11	received	receive	VERB
globalce-125	1	12	march	march	PROPN
globalce-125	1	13	26	26	NUM
globalce-125	1	14	,	,	PUNCT
globalce-125	1	15	2021	2021	NUM
globalce-125	1	16	,	,	PUNCT
globalce-125	1	17	accepted	accept	VERB
globalce-125	1	18	april	april	PROPN
globalce-125	1	19	21	21	NUM
globalce-125	1	20	,	,	PUNCT
globalce-125	1	21	2022	2022	NUM
globalce-125	1	22	,	,	PUNCT
globalce-125	1	23	date	date	NOUN
globalce-125	1	24	of	of	ADP
globalce-125	1	25	publication	publication	NOUN
globalce-125	1	26	may	may	AUX
globalce-125	1	27	16	16	NUM
globalce-125	1	28	,	,	PUNCT
globalce-125	1	29	2022	2022	NUM
globalce-125	1	30	comparison	comparison	NOUN
globalce-125	1	31	of	of	ADP
globalce-125	1	32	automatic	automatic	ADJ
globalce-125	1	33	sleep	sleep	NOUN
globalce-125	1	34	stage	stage	NOUN
globalce-125	1	35	classification	classification	NOUN
globalce-125	1	36	methods	method	NOUN
globalce-125	1	37	for	for	ADP
globalce-125	1	38	clinical	clinical	ADJ
globalce-125	1	39	use	use	NOUN
globalce-125	1	40	by	by	ADP
globalce-125	1	41	alexei	alexei	PROPN
globalce-125	1	42	labrada	labrada	PROPN
globalce-125	1	43	,	,	PUNCT
globalce-125	1	44	elsa	elsa	NOUN
globalce-125	1	45	santos	santos	PROPN
globalce-125	1	46	febles	feble	NOUN
globalce-125	1	47	,	,	PUNCT
globalce-125	1	48	josé	josé	PROPN
globalce-125	1	49	manuel	manuel	PROPN
globalce-125	1	50	antelo	antelo	VERB
globalce-125	1	51	cuban	cuban	ADJ
globalce-125	1	52	neuroscience	neuroscience	NOUN
globalce-125	1	53	center	center	NOUN
globalce-125	1	54	(	(	PUNCT
globalce-125	1	55	cneuro	cneuro	PROPN
globalce-125	1	56	)	)	PUNCT
globalce-125	1	57	,	,	PUNCT
globalce-125	1	58	cuba	cuba	PROPN
globalce-125	1	59	abstract	abstract	ADJ
globalce-125	1	60	sleep	sleep	NOUN
globalce-125	1	61	stage	stage	NOUN
globalce-125	1	62	scoring	scoring	NOUN
globalce-125	1	63	is	be	AUX
globalce-125	1	64	necessary	necessary	ADJ
globalce-125	1	65	for	for	ADP
globalce-125	1	66	diagnosing	diagnose	VERB
globalce-125	1	67	several	several	ADJ
globalce-125	1	68	sleep	sleep	NOUN
globalce-125	1	69	disorders	disorder	NOUN
globalce-125	1	70	.	.	PUNCT
globalce-125	2	1	however	however	ADV
globalce-125	2	2	,	,	PUNCT
globalce-125	2	3	it	it	PRON
globalce-125	2	4	is	be	AUX
globalce-125	2	5	an	an	DET
globalce-125	2	6	intensive	intensive	ADJ
globalce-125	2	7	and	and	CCONJ
globalce-125	2	8	repetitive	repetitive	ADJ
globalce-125	2	9	task	task	NOUN
globalce-125	2	10	and	and	CCONJ
globalce-125	2	11	a	a	DET
globalce-125	2	12	vital	vital	ADJ
globalce-125	2	13	automation	automation	NOUN
globalce-125	2	14	candidate	candidate	NOUN
globalce-125	2	15	.	.	PUNCT
globalce-125	3	1	this	this	DET
globalce-125	3	2	work	work	NOUN
globalce-125	3	3	seeks	seek	VERB
globalce-125	3	4	to	to	PART
globalce-125	3	5	evaluate	evaluate	VERB
globalce-125	3	6	different	different	ADJ
globalce-125	3	7	kinds	kind	NOUN
globalce-125	3	8	of	of	ADP
globalce-125	3	9	machine	machine	NOUN
globalce-125	3	10	learning	learning	NOUN
globalce-125	3	11	based	base	VERB
globalce-125	3	12	classification	classification	NOUN
globalce-125	3	13	algorithms	algorithm	NOUN
globalce-125	3	14	available	available	ADJ
globalce-125	3	15	in	in	ADP
globalce-125	3	16	the	the	DET
globalce-125	3	17	scientific	scientific	ADJ
globalce-125	3	18	literature	literature	NOUN
globalce-125	3	19	to	to	PART
globalce-125	3	20	determine	determine	VERB
globalce-125	3	21	which	which	DET
globalce-125	3	22	one	one	PRON
globalce-125	3	23	fits	fit	VERB
globalce-125	3	24	better	well	ADJ
globalce-125	3	25	the	the	DET
globalce-125	3	26	clinical	clinical	ADJ
globalce-125	3	27	practice	practice	NOUN
globalce-125	3	28	requirements	requirement	NOUN
globalce-125	3	29	.	.	PUNCT
globalce-125	4	1	the	the	DET
globalce-125	4	2	comparison	comparison	NOUN
globalce-125	4	3	is	be	AUX
globalce-125	4	4	made	make	VERB
globalce-125	4	5	with	with	ADP
globalce-125	4	6	a	a	DET
globalce-125	4	7	predefined	predefine	VERB
globalce-125	4	8	experimental	experimental	ADJ
globalce-125	4	9	design	design	NOUN
globalce-125	4	10	,	,	PUNCT
globalce-125	4	11	using	use	VERB
globalce-125	4	12	electroencephalography	electroencephalography	NOUN
globalce-125	4	13	,	,	PUNCT
globalce-125	4	14	electrooculography	electrooculography	NOUN
globalce-125	4	15	,	,	PUNCT
globalce-125	4	16	and	and	CCONJ
globalce-125	4	17	electromyography	electromyography	NOUN
globalce-125	4	18	signals	signal	NOUN
globalce-125	4	19	from	from	ADP
globalce-125	4	20	the	the	DET
globalce-125	4	21	polysomnographic	polysomnographic	ADJ
globalce-125	4	22	records	record	NOUN
globalce-125	4	23	of	of	ADP
globalce-125	4	24	the	the	DET
globalce-125	4	25	sleep	sleep	NOUN
globalce-125	4	26	-	-	PUNCT
globalce-125	4	27	edfx	edfx	PROPN
globalce-125	4	28	dataset	dataset	NOUN
globalce-125	4	29	.	.	PUNCT
globalce-125	5	1	the	the	DET
globalce-125	5	2	comparison	comparison	NOUN
globalce-125	5	3	considers	consider	VERB
globalce-125	5	4	the	the	DET
globalce-125	5	5	accuracy	accuracy	NOUN
globalce-125	5	6	and	and	CCONJ
globalce-125	5	7	speed	speed	NOUN
globalce-125	5	8	of	of	ADP
globalce-125	5	9	algorithms	algorithm	NOUN
globalce-125	5	10	based	base	VERB
globalce-125	5	11	on	on	ADP
globalce-125	5	12	linear	linear	PROPN
globalce-125	5	13	discriminate	discriminate	VERB
globalce-125	5	14	analysis	analysis	NOUN
globalce-125	5	15	,	,	PUNCT
globalce-125	5	16	support	support	NOUN
globalce-125	5	17	vector	vector	NOUN
globalce-125	5	18	machines	machine	NOUN
globalce-125	5	19	,	,	PUNCT
globalce-125	5	20	random	random	ADJ
globalce-125	5	21	forests	forest	NOUN
globalce-125	5	22	,	,	PUNCT
globalce-125	5	23	and	and	CCONJ
globalce-125	5	24	artificial	artificial	ADJ
globalce-125	5	25	neural	neural	ADJ
globalce-125	5	26	networks	network	NOUN
globalce-125	5	27	.	.	PUNCT
globalce-125	6	1	the	the	DET
globalce-125	6	2	latter	latter	ADJ
globalce-125	6	3	group	group	NOUN
globalce-125	6	4	includes	include	VERB
globalce-125	6	5	the	the	DET
globalce-125	6	6	deep	deep	ADJ
globalce-125	6	7	neural	neural	ADJ
globalce-125	6	8	networks	network	NOUN
globalce-125	6	9	deapfeaturenet	deapfeaturenet	NOUN
globalce-125	6	10	,	,	PUNCT
globalce-125	6	11	based	base	VERB
globalce-125	6	12	on	on	ADP
globalce-125	6	13	convolutional	convolutional	ADJ
globalce-125	6	14	neural	neural	ADJ
globalce-125	6	15	networks	network	NOUN
globalce-125	6	16	,	,	PUNCT
globalce-125	6	17	and	and	CCONJ
globalce-125	6	18	deepsleepnet	deepsleepnet	NOUN
globalce-125	6	19	,	,	PUNCT
globalce-125	6	20	additionally	additionally	ADV
globalce-125	6	21	based	base	VERB
globalce-125	6	22	on	on	ADP
globalce-125	6	23	recurrent	recurrent	ADJ
globalce-125	6	24	neural	neural	ADJ
globalce-125	6	25	networks	network	NOUN
globalce-125	6	26	.	.	PUNCT
globalce-125	7	1	it	it	PRON
globalce-125	7	2	is	be	AUX
globalce-125	7	3	determined	determine	VERB
globalce-125	7	4	that	that	SCONJ
globalce-125	7	5	several	several	ADJ
globalce-125	7	6	of	of	ADP
globalce-125	7	7	the	the	DET
globalce-125	7	8	tested	test	VERB
globalce-125	7	9	algorithms	algorithm	NOUN
globalce-125	7	10	boast	boast	VERB
globalce-125	7	11	high	high	ADJ
globalce-125	7	12	accuracy	accuracy	NOUN
globalce-125	7	13	levels	level	NOUN
globalce-125	7	14	(	(	PUNCT
globalce-125	7	15	85	85	NUM
globalce-125	7	16	%	%	NOUN
globalce-125	7	17	)	)	PUNCT
globalce-125	7	18	.	.	PUNCT
globalce-125	8	1	from	from	ADP
globalce-125	8	2	them	they	PRON
globalce-125	8	3	,	,	PUNCT
globalce-125	8	4	deepsleepnet	deepsleepnet	NOUN
globalce-125	8	5	is	be	AUX
globalce-125	8	6	chosen	choose	VERB
globalce-125	8	7	as	as	ADP
globalce-125	8	8	the	the	DET
globalce-125	8	9	fittest	fit	ADJ
globalce-125	8	10	due	due	ADP
globalce-125	8	11	to	to	ADP
globalce-125	8	12	its	its	PRON
globalce-125	8	13	considerable	considerable	ADJ
globalce-125	8	14	advantage	advantage	NOUN
globalce-125	8	15	in	in	ADP
globalce-125	8	16	execution	execution	NOUN
globalce-125	8	17	time	time	NOUN
globalce-125	8	18	.	.	PUNCT
globalce-125	9	1	nevertheless	nevertheless	ADV
globalce-125	9	2	,	,	PUNCT
globalce-125	9	3	the	the	DET
globalce-125	9	4	final	final	ADJ
globalce-125	9	5	result	result	NOUN
globalce-125	9	6	should	should	AUX
globalce-125	9	7	always	always	ADV
globalce-125	9	8	be	be	AUX
globalce-125	9	9	reviewed	review	VERB
globalce-125	9	10	by	by	ADP
globalce-125	9	11	the	the	DET
globalce-125	9	12	experts	expert	NOUN
globalce-125	9	13	.	.	PUNCT
globalce-125	10	1	keywords	keyword	NOUN
globalce-125	10	2	–	–	PUNCT
globalce-125	10	3	polysomnography	polysomnography	NOUN
globalce-125	10	4	,	,	PUNCT
globalce-125	10	5	sleep	sleep	NOUN
globalce-125	10	6	stage	stage	NOUN
globalce-125	10	7	scoring	scoring	NOUN
globalce-125	10	8	,	,	PUNCT
globalce-125	10	9	machine	machine	NOUN
globalce-125	10	10	learning	learning	NOUN
globalce-125	10	11	,	,	PUNCT
globalce-125	10	12	deep	deep	ADJ
globalce-125	10	13	learning	learning	NOUN
globalce-125	10	14	,	,	PUNCT
globalce-125	10	15	signal	signal	ADJ
globalce-125	10	16	processing	processing	NOUN
globalce-125	10	17	.	.	PUNCT
globalce-125	11	1	copyright	copyright	NOUN
globalce-125	11	2	©	©	PROPN
globalce-125	11	3	2021	2021	NUM
globalce-125	11	4	.	.	PUNCT
globalce-125	12	1	this	this	PRON
globalce-125	12	2	is	be	AUX
globalce-125	12	3	an	an	DET
globalce-125	12	4	open	open	ADJ
globalce-125	12	5	-	-	PUNCT
globalce-125	12	6	access	access	NOUN
globalce-125	12	7	article	article	NOUN
globalce-125	12	8	distributed	distribute	VERB
globalce-125	12	9	under	under	ADP
globalce-125	12	10	the	the	DET
globalce-125	12	11	terms	term	NOUN
globalce-125	12	12	of	of	ADP
globalce-125	12	13	the	the	DET
globalce-125	12	14	creative	creative	ADJ
globalce-125	12	15	commons	common	NOUN
globalce-125	12	16	attribution	attribution	NOUN
globalce-125	12	17	license	license	NOUN
globalce-125	12	18	(	(	PUNCT
globalce-125	12	19	cc	cc	NOUN
globalce-125	12	20	by	by	ADV
globalce-125	12	21	):	):	PUNCT
globalce-125	12	22	creative	creative	ADJ
globalce-125	12	23	commons	common	NOUN
globalce-125	12	24	attribution	attribution	NOUN
globalce-125	12	25	4.0	4.0	NUM
globalce-125	12	26	international	international	NOUN
globalce-125	12	27	cc	cc	NOUN
globalce-125	12	28	by	by	ADP
globalce-125	12	29	4.0	4.0	NUM
globalce-125	12	30	.	.	PUNCT
globalce-125	13	1	the	the	DET
globalce-125	13	2	use	use	NOUN
globalce-125	13	3	,	,	PUNCT
globalce-125	13	4	distribution	distribution	NOUN
globalce-125	13	5	or	or	CCONJ
globalce-125	13	6	reproduction	reproduction	NOUN
globalce-125	13	7	in	in	ADP
globalce-125	13	8	other	other	ADJ
globalce-125	13	9	forums	forum	NOUN
globalce-125	13	10	is	be	AUX
globalce-125	13	11	permitted	permit	VERB
globalce-125	13	12	,	,	PUNCT
globalce-125	13	13	provided	provide	VERB
globalce-125	13	14	the	the	DET
globalce-125	13	15	original	original	ADJ
globalce-125	13	16	author(s	author(s	NOUN
globalce-125	13	17	)	)	PUNCT
globalce-125	13	18	and	and	CCONJ
globalce-125	13	19	the	the	DET
globalce-125	13	20	copyright	copyright	NOUN
globalce-125	13	21	owner(s	owner(s	NOUN
globalce-125	13	22	)	)	PUNCT
globalce-125	13	23	are	be	AUX
globalce-125	13	24	credited	credit	VERB
globalce-125	13	25	and	and	CCONJ
globalce-125	13	26	that	that	SCONJ
globalce-125	13	27	the	the	DET
globalce-125	13	28	original	original	ADJ
globalce-125	13	29	publication	publication	NOUN
globalce-125	13	30	in	in	ADP
globalce-125	13	31	this	this	DET
globalce-125	13	32	journal	journal	NOUN
globalce-125	13	33	is	be	AUX
globalce-125	13	34	cited	cite	VERB
globalce-125	13	35	,	,	PUNCT
globalce-125	13	36	in	in	ADP
globalce-125	13	37	accordance	accordance	NOUN
globalce-125	13	38	with	with	ADP
globalce-125	13	39	accepted	accept	VERB
globalce-125	13	40	academic	academic	ADJ
globalce-125	13	41	practice	practice	NOUN
globalce-125	13	42	.	.	PUNCT
globalce-125	14	1	no	no	DET
globalce-125	14	2	use	use	NOUN
globalce-125	14	3	,	,	PUNCT
globalce-125	14	4	distribution	distribution	NOUN
globalce-125	14	5	or	or	CCONJ
globalce-125	14	6	reproduction	reproduction	NOUN
globalce-125	14	7	is	be	AUX
globalce-125	14	8	permitted	permit	VERB
globalce-125	14	9	which	which	PRON
globalce-125	14	10	does	do	AUX
globalce-125	14	11	not	not	PART
globalce-125	14	12	comply	comply	VERB
globalce-125	14	13	with	with	ADP
globalce-125	14	14	these	these	DET
globalce-125	14	15	terms	term	NOUN
globalce-125	14	16	.	.	PUNCT
globalce-125	15	1	introduction	introduction	NOUN
globalce-125	15	2	sleep	sleep	NOUN
globalce-125	15	3	stage	stage	NOUN
globalce-125	15	4	scoring	scoring	NOUN
globalce-125	15	5	is	be	AUX
globalce-125	15	6	necessary	necessary	ADJ
globalce-125	15	7	for	for	ADP
globalce-125	15	8	diagnosing	diagnose	VERB
globalce-125	15	9	several	several	ADJ
globalce-125	15	10	sleep	sleep	NOUN
globalce-125	15	11	disorders	disorder	NOUN
globalce-125	15	12	,	,	PUNCT
globalce-125	15	13	including	include	VERB
globalce-125	15	14	insomnia	insomnia	NOUN
globalce-125	15	15	,	,	PUNCT
globalce-125	15	16	sleep	sleep	NOUN
globalce-125	15	17	apnea	apnea	NOUN
globalce-125	15	18	,	,	PUNCT
globalce-125	15	19	narcolepsy	narcolepsy	NOUN
globalce-125	15	20	,	,	PUNCT
globalce-125	15	21	and	and	CCONJ
globalce-125	15	22	hypersomnia	hypersomnia	NOUN
globalce-125	15	23	.	.	PUNCT
globalce-125	16	1	according	accord	VERB
globalce-125	16	2	to	to	ADP
globalce-125	16	3	the	the	DET
globalce-125	16	4	american	american	PROPN
globalce-125	16	5	academy	academy	PROPN
globalce-125	16	6	of	of	ADP
globalce-125	16	7	sleep	sleep	NOUN
globalce-125	16	8	medicine	medicine	NOUN
globalce-125	16	9	(	(	PUNCT
globalce-125	16	10	aasm	aasm	NOUN
globalce-125	16	11	)	)	PUNCT
globalce-125	16	12	,	,	PUNCT
globalce-125	16	13	this	this	DET
globalce-125	16	14	operation	operation	NOUN
globalce-125	16	15	entails	entail	VERB
globalce-125	16	16	the	the	DET
globalce-125	16	17	division	division	NOUN
globalce-125	16	18	of	of	ADP
globalce-125	16	19	a	a	DET
globalce-125	16	20	polysomnographic	polysomnographic	ADJ
globalce-125	16	21	record	record	NOUN
globalce-125	16	22	(	(	PUNCT
globalce-125	16	23	psg	psg	PROPN
globalce-125	16	24	)	)	PUNCT
globalce-125	16	25	in	in	ADP
globalce-125	16	26	consecutive	consecutive	ADJ
globalce-125	16	27	30	30	NUM
globalce-125	16	28	-	-	PUNCT
globalce-125	16	29	second	second	NOUN
globalce-125	16	30	windows	window	NOUN
globalce-125	16	31	,	,	PUNCT
globalce-125	16	32	called	call	VERB
globalce-125	16	33	epochs	epoch	NOUN
globalce-125	16	34	.	.	PUNCT
globalce-125	17	1	each	each	DET
globalce-125	17	2	epoch	epoch	NOUN
globalce-125	17	3	has	have	VERB
globalce-125	17	4	to	to	PART
globalce-125	17	5	be	be	AUX
globalce-125	17	6	classified	classify	VERB
globalce-125	17	7	as	as	ADP
globalce-125	17	8	wakefulness	wakefulness	NOUN
globalce-125	17	9	(	(	PUNCT
globalce-125	17	10	w	w	NOUN
globalce-125	17	11	)	)	PUNCT
globalce-125	17	12	,	,	PUNCT
globalce-125	17	13	rem	rem	X
globalce-125	17	14	sleep	sleep	NOUN
globalce-125	17	15	(	(	PUNCT
globalce-125	17	16	r	r	NOUN
globalce-125	17	17	)	)	PUNCT
globalce-125	17	18	,	,	PUNCT
globalce-125	17	19	or	or	CCONJ
globalce-125	17	20	one	one	NUM
globalce-125	17	21	of	of	ADP
globalce-125	17	22	three	three	NUM
globalce-125	17	23	non	non	ADJ
globalce-125	17	24	-	-	ADJ
globalce-125	17	25	rem	rem	VERB
globalce-125	17	26	sleep	sleep	NOUN
globalce-125	17	27	stages	stage	NOUN
globalce-125	17	28	:	:	PUNCT
globalce-125	17	29	n1	n1	NOUN
globalce-125	17	30	,	,	PUNCT
globalce-125	17	31	n2	n2	ADJ
globalce-125	17	32	,	,	PUNCT
globalce-125	17	33	or	or	CCONJ
globalce-125	17	34	n3	n3	NOUN
globalce-125	17	35	.	.	PROPN
globalce-125	17	36	*	*	PUNCT
globalce-125	17	37	additionally	additionally	ADV
globalce-125	17	38	,	,	PUNCT
globalce-125	17	39	aasm	aasm	NOUN
globalce-125	17	40	defines	define	VERB
globalce-125	17	41	the	the	DET
globalce-125	17	42	rules	rule	NOUN
globalce-125	17	43	that	that	PRON
globalce-125	17	44	have	have	VERB
globalce-125	17	45	to	to	PART
globalce-125	17	46	be	be	AUX
globalce-125	17	47	followed	follow	VERB
globalce-125	17	48	to	to	PART
globalce-125	17	49	perform	perform	VERB
globalce-125	17	50	the	the	DET
globalce-125	17	51	scoring	scoring	NOUN
globalce-125	17	52	based	base	VERB
globalce-125	17	53	on	on	ADP
globalce-125	17	54	the	the	DET
globalce-125	17	55	visual	visual	ADJ
globalce-125	17	56	examination	examination	NOUN
globalce-125	17	57	of	of	ADP
globalce-125	17	58	each	each	DET
globalce-125	17	59	epoch	epoch	NOUN
globalce-125	17	60	of	of	ADP
globalce-125	17	61	the	the	DET
globalce-125	17	62	psg	psg	PROPN
globalce-125	17	63	record	record	NOUN
globalce-125	17	64	.	.	PUNCT
globalce-125	18	1	a	a	DET
globalce-125	18	2	psg	psg	PROPN
globalce-125	18	3	record	record	NOUN
globalce-125	18	4	shows	show	VERB
globalce-125	18	5	the	the	DET
globalce-125	18	6	behavior	behavior	NOUN
globalce-125	18	7	throughout	throughout	ADP
globalce-125	18	8	the	the	DET
globalce-125	18	9	time	time	NOUN
globalce-125	18	10	of	of	ADP
globalce-125	18	11	various	various	ADJ
globalce-125	18	12	electrophysiological	electrophysiological	ADJ
globalce-125	18	13	signals	signal	NOUN
globalce-125	18	14	.	.	PUNCT
globalce-125	19	1	the	the	DET
globalce-125	19	2	three	three	NUM
globalce-125	19	3	most	most	ADJ
globalce-125	19	4	http://www.globalce.org	http://www.globalce.org	PUNCT
globalce-125	19	5	http://globalce.org	http://globalce.org	PROPN
globalce-125	19	6	http://globalce.org	http://globalce.org	PROPN
globalce-125	19	7	9	9	NUM
globalce-125	19	8	j	j	PROPN
globalce-125	19	9	global	global	ADJ
globalce-125	19	10	clinical	clinical	ADJ
globalce-125	19	11	engineering	engineering	NOUN
globalce-125	19	12	vol.5	vol.5	ADJ
globalce-125	19	13	issue	issue	NOUN
globalce-125	19	14	1	1	NUM
globalce-125	19	15	:	:	SYM
globalce-125	19	16	2022	2022	NUM
globalce-125	19	17	labrada	labrada	NOUN
globalce-125	19	18	,	,	PUNCT
globalce-125	19	19	febles	feble	NOUN
globalce-125	19	20	,	,	PUNCT
globalce-125	19	21	antelo	antelo	ADV
globalce-125	19	22	:	:	PUNCT
globalce-125	19	23	comparison	comparison	NOUN
globalce-125	19	24	of	of	ADP
globalce-125	19	25	automatic	automatic	ADJ
globalce-125	19	26	sleep	sleep	NOUN
globalce-125	19	27	stage	stage	NOUN
globalce-125	19	28	classification	classification	NOUN
globalce-125	19	29	methods	method	NOUN
globalce-125	19	30	for	for	ADP
globalce-125	19	31	clinical	clinical	ADJ
globalce-125	19	32	use	use	NOUN
globalce-125	19	33	important	important	ADJ
globalce-125	19	34	signals	signal	NOUN
globalce-125	19	35	are	be	AUX
globalce-125	19	36	(	(	PUNCT
globalce-125	19	37	1	1	X
globalce-125	19	38	)	)	PUNCT
globalce-125	19	39	electrical	electrical	ADJ
globalce-125	19	40	activity	activity	NOUN
globalce-125	19	41	in	in	ADP
globalce-125	19	42	the	the	DET
globalce-125	19	43	cerebral	cerebral	ADJ
globalce-125	19	44	cortex	cortex	NOUN
globalce-125	19	45	,	,	PUNCT
globalce-125	19	46	measured	measure	VERB
globalce-125	19	47	using	use	VERB
globalce-125	19	48	electroencephalography	electroencephalography	NOUN
globalce-125	19	49	(	(	PUNCT
globalce-125	19	50	eeg	eeg	NOUN
globalce-125	19	51	)	)	PUNCT
globalce-125	19	52	;	;	PUNCT
globalce-125	19	53	(	(	PUNCT
globalce-125	19	54	2	2	X
globalce-125	19	55	)	)	PUNCT
globalce-125	19	56	in	in	ADP
globalce-125	19	57	the	the	DET
globalce-125	19	58	face	face	NOUN
globalce-125	19	59	muscles	muscle	NOUN
globalce-125	19	60	,	,	PUNCT
globalce-125	19	61	using	use	VERB
globalce-125	19	62	electromyography	electromyography	NOUN
globalce-125	19	63	(	(	PUNCT
globalce-125	19	64	emg	emg	NOUN
globalce-125	19	65	)	)	PUNCT
globalce-125	19	66	;	;	PUNCT
globalce-125	19	67	and	and	CCONJ
globalce-125	19	68	(	(	PUNCT
globalce-125	19	69	3	3	X
globalce-125	19	70	)	)	PUNCT
globalce-125	19	71	the	the	DET
globalce-125	19	72	eye	eye	NOUN
globalce-125	19	73	movements	movement	NOUN
globalce-125	19	74	,	,	PUNCT
globalce-125	19	75	using	use	VERB
globalce-125	19	76	electrooculography	electrooculography	NOUN
globalce-125	19	77	(	(	PUNCT
globalce-125	19	78	eog	eog	PROPN
globalce-125	19	79	)	)	PUNCT
globalce-125	19	80	.	.	PUNCT
globalce-125	20	1	it	it	PRON
globalce-125	20	2	may	may	AUX
globalce-125	20	3	also	also	ADV
globalce-125	20	4	include	include	VERB
globalce-125	20	5	the	the	DET
globalce-125	20	6	cardiac	cardiac	ADJ
globalce-125	20	7	activity	activity	NOUN
globalce-125	20	8	or	or	CCONJ
globalce-125	20	9	electrocardiogram	electrocardiogram	NOUN
globalce-125	20	10	(	(	PUNCT
globalce-125	20	11	ecg	ecg	PROPN
globalce-125	20	12	)	)	PUNCT
globalce-125	20	13	,	,	PUNCT
globalce-125	20	14	the	the	DET
globalce-125	20	15	respiratory	respiratory	ADJ
globalce-125	20	16	activity	activity	NOUN
globalce-125	20	17	,	,	PUNCT
globalce-125	20	18	and	and	CCONJ
globalce-125	20	19	the	the	DET
globalce-125	20	20	body	body	NOUN
globalce-125	20	21	movements	movement	NOUN
globalce-125	20	22	.	.	PUNCT
globalce-125	21	1	the	the	DET
globalce-125	21	2	scoring	scoring	NOUN
globalce-125	21	3	rules	rule	NOUN
globalce-125	21	4	rely	rely	VERB
globalce-125	21	5	on	on	ADP
globalce-125	21	6	identifying	identify	VERB
globalce-125	21	7	various	various	ADJ
globalce-125	21	8	patterns	pattern	NOUN
globalce-125	21	9	in	in	ADP
globalce-125	21	10	the	the	DET
globalce-125	21	11	signals	signal	NOUN
globalce-125	21	12	,	,	PUNCT
globalce-125	21	13	including	include	VERB
globalce-125	21	14	the	the	DET
globalce-125	21	15	alpha	alpha	NOUN
globalce-125	21	16	,	,	PUNCT
globalce-125	21	17	beta	beta	NOUN
globalce-125	21	18	,	,	PUNCT
globalce-125	21	19	theta	theta	NOUN
globalce-125	21	20	,	,	PUNCT
globalce-125	21	21	and	and	CCONJ
globalce-125	21	22	delta	delta	NOUN
globalce-125	21	23	activity	activity	NOUN
globalce-125	21	24	,	,	PUNCT
globalce-125	21	25	k	k	PROPN
globalce-125	21	26	complexes	complex	NOUN
globalce-125	21	27	,	,	PUNCT
globalce-125	21	28	spindles	spindle	NOUN
globalce-125	21	29	,	,	PUNCT
globalce-125	21	30	rem	rem	X
globalce-125	21	31	,	,	PUNCT
globalce-125	21	32	and	and	CCONJ
globalce-125	21	33	sem	sem	NOUN
globalce-125	21	34	.	.	PUNCT
globalce-125	22	1	*	*	PUNCT
globalce-125	22	2	*	*	PUNCT
globalce-125	22	3	table	table	NOUN
globalce-125	22	4	1	1	NUM
globalce-125	22	5	summarizes	summarize	NOUN
globalce-125	22	6	some	some	PRON
globalce-125	22	7	of	of	ADP
globalce-125	22	8	these	these	DET
globalce-125	22	9	patterns	pattern	NOUN
globalce-125	22	10	.	.	PUNCT
globalce-125	23	1	table	table	NOUN
globalce-125	23	2	1	1	NUM
globalce-125	23	3	.	.	PUNCT
globalce-125	23	4	common	common	ADJ
globalce-125	23	5	patterns	pattern	NOUN
globalce-125	23	6	in	in	ADP
globalce-125	23	7	polysomnographic	polysomnographic	ADJ
globalce-125	23	8	signals	signal	NOUN
globalce-125	23	9	pattern	pattern	NOUN
globalce-125	23	10	stage	stage	NOUN
globalce-125	23	11	signal	signal	NOUN
globalce-125	23	12	frequency	frequency	NOUN
globalce-125	23	13	morphology	morphology	NOUN
globalce-125	23	14	alpha	alpha	NOUN
globalce-125	23	15	activity	activity	PROPN
globalce-125	23	16	w	w	NOUN
globalce-125	23	17	,	,	PUNCT
globalce-125	23	18	n1	n1	PROPN
globalce-125	23	19	eeg	eeg	X
globalce-125	23	20	8	8	NUM
globalce-125	23	21	13	13	NUM
globalce-125	23	22	hz	hz	VERB
globalce-125	23	23	beta	beta	ADJ
globalce-125	23	24	activity	activity	NOUN
globalce-125	23	25	w	w	NOUN
globalce-125	23	26	,	,	PUNCT
globalce-125	23	27	n1	n1	NOUN
globalce-125	23	28	,	,	PUNCT
globalce-125	23	29	r	r	NOUN
globalce-125	23	30	eeg	eeg	PROPN
globalce-125	23	31	14	14	NUM
globalce-125	23	32	30	30	NUM
globalce-125	23	33	hz	hz	VERB
globalce-125	23	34	theta	theta	NOUN
globalce-125	23	35	activity	activity	NOUN
globalce-125	23	36	nrem	nrem	NOUN
globalce-125	23	37	,	,	PUNCT
globalce-125	23	38	r	r	NOUN
globalce-125	23	39	eeg	eeg	PROPN
globalce-125	23	40	4	4	NUM
globalce-125	23	41	8	8	NUM
globalce-125	23	42	hz	hz	VERB
globalce-125	23	43	delta	delta	NOUN
globalce-125	23	44	activity	activity	NOUN
globalce-125	23	45	n3	n3	NOUN
globalce-125	23	46	,	,	PUNCT
globalce-125	23	47	r	r	NOUN
globalce-125	23	48	eeg	eeg	PROPN
globalce-125	23	49	0.5	0.5	NUM
globalce-125	23	50	4	4	NUM
globalce-125	23	51	hz	hz	VERB
globalce-125	23	52	spindle	spindle	PROPN
globalce-125	23	53	n2	n2	NOUN
globalce-125	23	54	,	,	PUNCT
globalce-125	23	55	n3	n3	NOUN
globalce-125	23	56	eeg	eeg	PROPN
globalce-125	23	57	12	12	NUM
globalce-125	23	58	14	14	NUM
globalce-125	23	59	hz	hz	VERB
globalce-125	23	60	k	k	PROPN
globalce-125	23	61	complex	complex	ADJ
globalce-125	23	62	n2	n2	NOUN
globalce-125	23	63	,	,	PUNCT
globalce-125	23	64	n3	n3	NOUN
globalce-125	23	65	eeg	eeg	PROPN
globalce-125	23	66	0.5	0.5	NUM
globalce-125	23	67	1.5	1.5	NUM
globalce-125	23	68	hz	hz	VERB
globalce-125	23	69	biphasic	biphasic	ADJ
globalce-125	23	70	high	high	ADJ
globalce-125	23	71	amplitude	amplitude	NOUN
globalce-125	23	72	peak	peak	NOUN
globalce-125	23	73	slow	slow	ADJ
globalce-125	23	74	waves	wave	NOUN
globalce-125	23	75	n3	n3	PROPN
globalce-125	23	76	eeg	eeg	PROPN
globalce-125	23	77	0.5	0.5	NUM
globalce-125	23	78	2	2	NUM
globalce-125	23	79	hz	hz	VERB
globalce-125	23	80	high	high	ADJ
globalce-125	23	81	amplitude	amplitude	NOUN
globalce-125	23	82	waves	wave	NOUN
globalce-125	23	83	eeg	eeg	NOUN
globalce-125	23	84	=	=	SYM
globalce-125	23	85	electroencephalography	electroencephalography	NOUN
globalce-125	23	86	.	.	PUNCT
globalce-125	24	1	the	the	DET
globalce-125	24	2	psg	psg	PROPN
globalce-125	24	3	records	record	NOUN
globalce-125	24	4	may	may	AUX
globalce-125	24	5	last	last	VERB
globalce-125	24	6	for	for	ADP
globalce-125	24	7	8	8	NUM
globalce-125	24	8	hours	hour	NOUN
globalce-125	24	9	,	,	PUNCT
globalce-125	24	10	so	so	CCONJ
globalce-125	24	11	the	the	DET
globalce-125	24	12	number	number	NOUN
globalce-125	24	13	of	of	ADP
globalce-125	24	14	epochs	epoch	NOUN
globalce-125	24	15	is	be	AUX
globalce-125	24	16	close	close	ADJ
globalce-125	24	17	to	to	ADP
globalce-125	24	18	a	a	DET
globalce-125	24	19	thousand	thousand	NUM
globalce-125	24	20	.	.	PUNCT
globalce-125	25	1	therefore	therefore	ADV
globalce-125	25	2	,	,	PUNCT
globalce-125	25	3	the	the	DET
globalce-125	25	4	scoring	scoring	NOUN
globalce-125	25	5	process	process	NOUN
globalce-125	25	6	is	be	AUX
globalce-125	25	7	intensive	intensive	ADJ
globalce-125	25	8	,	,	PUNCT
globalce-125	25	9	repetitive	repetitive	ADJ
globalce-125	25	10	,	,	PUNCT
globalce-125	25	11	and	and	CCONJ
globalce-125	25	12	prone	prone	ADJ
globalce-125	25	13	to	to	ADP
globalce-125	25	14	errors	error	NOUN
globalce-125	25	15	.	.	PUNCT
globalce-125	26	1	the	the	DET
globalce-125	26	2	scientific	scientific	ADJ
globalce-125	26	3	literature	literature	NOUN
globalce-125	26	4	describes	describe	VERB
globalce-125	26	5	many	many	ADJ
globalce-125	26	6	algorithms	algorithm	NOUN
globalce-125	26	7	that	that	PRON
globalce-125	26	8	allow	allow	VERB
globalce-125	26	9	the	the	DET
globalce-125	26	10	automation	automation	NOUN
globalce-125	26	11	of	of	ADP
globalce-125	26	12	the	the	DET
globalce-125	26	13	process	process	NOUN
globalce-125	26	14	by	by	ADP
globalce-125	26	15	using	use	VERB
globalce-125	26	16	various	various	ADJ
globalce-125	26	17	machine	machine	NOUN
globalce-125	26	18	learning	learn	VERB
globalce-125	26	19	techniques	technique	NOUN
globalce-125	26	20	.	.	PUNCT
globalce-125	27	1	however	however	ADV
globalce-125	27	2	,	,	PUNCT
globalce-125	27	3	the	the	DET
globalce-125	27	4	low	low	ADJ
globalce-125	27	5	inter	inter	ADJ
globalce-125	27	6	-	-	ADJ
globalce-125	27	7	scorer	scorer	ADJ
globalce-125	27	8	agreement	agreement	NOUN
globalce-125	27	9	level,1,2	level,1,2	PROPN
globalce-125	27	10	among	among	ADP
globalce-125	27	11	other	other	ADJ
globalce-125	27	12	limitations	limitation	NOUN
globalce-125	27	13	,	,	PUNCT
globalce-125	27	14	has	have	AUX
globalce-125	27	15	limited	limit	VERB
globalce-125	27	16	the	the	DET
globalce-125	27	17	accuracy	accuracy	NOUN
globalce-125	27	18	of	of	ADP
globalce-125	27	19	the	the	DET
globalce-125	27	20	algorithms	algorithm	NOUN
globalce-125	27	21	and	and	CCONJ
globalce-125	27	22	,	,	PUNCT
globalce-125	27	23	hence	hence	ADV
globalce-125	27	24	,	,	PUNCT
globalce-125	27	25	the	the	DET
globalce-125	27	26	reach	reach	NOUN
globalce-125	27	27	of	of	ADP
globalce-125	27	28	the	the	DET
globalce-125	27	29	automation	automation	NOUN
globalce-125	27	30	process	process	NOUN
globalce-125	27	31	.	.	PUNCT
globalce-125	28	1	for	for	ADP
globalce-125	28	2	instance	instance	NOUN
globalce-125	28	3	,	,	PUNCT
globalce-125	28	4	fraiwan	fraiwan	PROPN
globalce-125	28	5	et	et	PROPN
globalce-125	28	6	al	al	PROPN
globalce-125	28	7	.	.	PROPN
globalce-125	28	8	3	3	NUM
globalce-125	28	9	use	use	VERB
globalce-125	28	10	the	the	DET
globalce-125	28	11	continuous	continuous	ADJ
globalce-125	28	12	wavelet	wavelet	NOUN
globalce-125	28	13	transform	transform	NOUN
globalce-125	28	14	of	of	ADP
globalce-125	28	15	the	the	DET
globalce-125	28	16	eeg	eeg	NOUN
globalce-125	28	17	signals	signal	NOUN
globalce-125	28	18	as	as	ADP
globalce-125	28	19	features	feature	NOUN
globalce-125	28	20	and	and	CCONJ
globalce-125	28	21	a	a	DET
globalce-125	28	22	linear	linear	ADJ
globalce-125	28	23	discriminant	discriminant	ADJ
globalce-125	28	24	analysis	analysis	NOUN
globalce-125	28	25	(	(	PUNCT
globalce-125	28	26	lda	lda	PROPN
globalce-125	28	27	)	)	PUNCT
globalce-125	28	28	based	base	VERB
globalce-125	28	29	classifier	classifier	NOUN
globalce-125	28	30	.	.	PUNCT
globalce-125	29	1	as	as	ADP
globalce-125	29	2	a	a	DET
globalce-125	29	3	result	result	NOUN
globalce-125	29	4	,	,	PUNCT
globalce-125	29	5	they	they	PRON
globalce-125	29	6	reach	reach	VERB
globalce-125	29	7	an	an	DET
globalce-125	29	8	84	84	NUM
globalce-125	29	9	%	%	NOUN
globalce-125	29	10	accuracy	accuracy	NOUN
globalce-125	29	11	level	level	NOUN
globalce-125	29	12	with	with	ADP
globalce-125	29	13	the	the	DET
globalce-125	29	14	mit	mit	VERB
globalce-125	29	15	-	-	PUNCT
globalce-125	29	16	bih4,5	bih4,5	NOUN
globalce-125	29	17	dataset	dataset	NOUN
globalce-125	29	18	records	record	NOUN
globalce-125	29	19	.	.	PUNCT
globalce-125	30	1	susmakova	susmakova	PROPN
globalce-125	30	2	&	&	CCONJ
globalce-125	30	3	krakovska6	krakovska6	PROPN
globalce-125	30	4	also	also	ADV
globalce-125	30	5	use	use	VERB
globalce-125	30	6	an	an	DET
globalce-125	30	7	lda	lda	NOUN
globalce-125	30	8	-	-	PUNCT
globalce-125	30	9	based	base	VERB
globalce-125	30	10	classifier	classifier	NOUN
globalce-125	30	11	,	,	PUNCT
globalce-125	30	12	but	but	CCONJ
globalce-125	30	13	their	their	PRON
globalce-125	30	14	algorithm	algorithm	NOUN
globalce-125	30	15	extracts	extract	VERB
globalce-125	30	16	a	a	DET
globalce-125	30	17	wider	wide	ADJ
globalce-125	30	18	variety	variety	NOUN
globalce-125	30	19	of	of	ADP
globalce-125	30	20	features	feature	NOUN
globalce-125	30	21	from	from	ADP
globalce-125	30	22	different	different	ADJ
globalce-125	30	23	signals	signal	NOUN
globalce-125	30	24	.	.	PUNCT
globalce-125	31	1	furthermore	furthermore	ADV
globalce-125	31	2	,	,	PUNCT
globalce-125	31	3	they	they	PRON
globalce-125	31	4	prove	prove	VERB
globalce-125	31	5	the	the	DET
globalce-125	31	6	importance	importance	NOUN
globalce-125	31	7	of	of	ADP
globalce-125	31	8	the	the	DET
globalce-125	31	9	information	information	NOUN
globalce-125	31	10	contained	contain	VERB
globalce-125	31	11	within	within	ADP
globalce-125	31	12	the	the	DET
globalce-125	31	13	eog	eog	PROPN
globalce-125	31	14	and	and	CCONJ
globalce-125	31	15	emg	emg	NOUN
globalce-125	31	16	signals	signal	NOUN
globalce-125	31	17	to	to	PART
globalce-125	31	18	discriminate	discriminate	VERB
globalce-125	31	19	some	some	PRON
globalce-125	31	20	of	of	ADP
globalce-125	31	21	the	the	DET
globalce-125	31	22	stages	stage	NOUN
globalce-125	31	23	.	.	PUNCT
globalce-125	32	1	koley	koley	PROPN
globalce-125	32	2	&	&	CCONJ
globalce-125	32	3	dey7	dey7	PROPN
globalce-125	32	4	evaluate	evaluate	VERB
globalce-125	32	5	the	the	DET
globalce-125	32	6	performance	performance	NOUN
globalce-125	32	7	of	of	ADP
globalce-125	32	8	a	a	DET
globalce-125	32	9	support	support	NOUN
globalce-125	32	10	vector	vector	NOUN
globalce-125	32	11	machine	machine	NOUN
globalce-125	32	12	(	(	PUNCT
globalce-125	32	13	svm	svm	PROPN
globalce-125	32	14	)	)	PUNCT
globalce-125	32	15	based	base	VERB
globalce-125	32	16	classifier	classifier	NOUN
globalce-125	32	17	with	with	ADP
globalce-125	32	18	different	different	ADJ
globalce-125	32	19	combinations	combination	NOUN
globalce-125	32	20	of	of	ADP
globalce-125	32	21	features	feature	NOUN
globalce-125	32	22	.	.	PUNCT
globalce-125	33	1	their	their	PRON
globalce-125	33	2	algorithm	algorithm	NOUN
globalce-125	33	3	has	have	VERB
globalce-125	33	4	an	an	DET
globalce-125	33	5	89	89	NUM
globalce-125	33	6	%	%	NOUN
globalce-125	33	7	accuracy	accuracy	NOUN
globalce-125	33	8	on	on	ADP
globalce-125	33	9	their	their	PRON
globalce-125	33	10	own	own	ADJ
globalce-125	33	11	dataset	dataset	NOUN
globalce-125	33	12	,	,	PUNCT
globalce-125	33	13	close	close	ADJ
globalce-125	33	14	to	to	ADP
globalce-125	33	15	the	the	DET
globalce-125	33	16	inter	inter	ADJ
globalce-125	33	17	-	-	ADJ
globalce-125	33	18	scorer	scorer	ADJ
globalce-125	33	19	agreement	agreement	NOUN
globalce-125	33	20	level	level	NOUN
globalce-125	33	21	.	.	PUNCT
globalce-125	34	1	aboalayon	aboalayon	NOUN
globalce-125	34	2	et	et	PROPN
globalce-125	34	3	al.8	al.8	PROPN
globalce-125	34	4	also	also	ADV
globalce-125	34	5	use	use	VERB
globalce-125	34	6	an	an	DET
globalce-125	34	7	svm	svm	ADJ
globalce-125	34	8	classifier	classifier	NOUN
globalce-125	34	9	,	,	PUNCT
globalce-125	34	10	reaching	reach	VERB
globalce-125	34	11	a	a	DET
globalce-125	34	12	92.5	92.5	NUM
globalce-125	34	13	%	%	NOUN
globalce-125	34	14	accuracy	accuracy	NOUN
globalce-125	34	15	on	on	ADP
globalce-125	34	16	records	record	NOUN
globalce-125	34	17	from	from	ADP
globalce-125	34	18	the	the	DET
globalce-125	34	19	sleep	sleep	NOUN
globalce-125	34	20	-	-	PUNCT
globalce-125	34	21	edf5,9	edf5,9	NOUN
globalce-125	34	22	dataset	dataset	NOUN
globalce-125	34	23	.	.	PUNCT
globalce-125	35	1	set	set	VERB
globalce-125	35	2	et	et	PROPN
globalce-125	35	3	al	al	PROPN
globalce-125	35	4	.	.	PROPN
globalce-125	36	1	10	10	NUM
globalce-125	36	2	compare	compare	VERB
globalce-125	36	3	the	the	DET
globalce-125	36	4	performance	performance	NOUN
globalce-125	36	5	of	of	ADP
globalce-125	36	6	different	different	ADJ
globalce-125	36	7	classifiers	classifier	NOUN
globalce-125	36	8	,	,	PUNCT
globalce-125	36	9	including	include	VERB
globalce-125	36	10	decision	decision	NOUN
globalce-125	36	11	trees	tree	NOUN
globalce-125	36	12	(	(	PUNCT
globalce-125	36	13	dt	dt	PROPN
globalce-125	36	14	)	)	PUNCT
globalce-125	36	15	,	,	PUNCT
globalce-125	36	16	random	random	ADJ
globalce-125	36	17	forests	forest	NOUN
globalce-125	36	18	(	(	PUNCT
globalce-125	36	19	rf	rf	NOUN
globalce-125	36	20	)	)	PUNCT
globalce-125	36	21	,	,	PUNCT
globalce-125	36	22	svm	svm	PROPN
globalce-125	36	23	,	,	PUNCT
globalce-125	36	24	and	and	CCONJ
globalce-125	36	25	artificial	artificial	ADJ
globalce-125	36	26	neural	neural	ADJ
globalce-125	36	27	networks	network	NOUN
globalce-125	36	28	(	(	PUNCT
globalce-125	36	29	ann	ann	PROPN
globalce-125	36	30	)	)	PUNCT
globalce-125	36	31	.	.	PUNCT
globalce-125	37	1	moreover	moreover	ADV
globalce-125	37	2	,	,	PUNCT
globalce-125	37	3	they	they	PRON
globalce-125	37	4	employ	employ	VERB
globalce-125	37	5	various	various	ADJ
globalce-125	37	6	feature	feature	NOUN
globalce-125	37	7	extraction	extraction	NOUN
globalce-125	37	8	techniques	technique	NOUN
globalce-125	37	9	,	,	PUNCT
globalce-125	37	10	counting	count	VERB
globalce-125	37	11	the	the	DET
globalce-125	37	12	discrete	discrete	ADJ
globalce-125	37	13	wavelet	wavelet	NOUN
globalce-125	37	14	transform	transform	NOUN
globalce-125	37	15	(	(	PUNCT
globalce-125	37	16	dwt	dwt	NOUN
globalce-125	37	17	)	)	PUNCT
globalce-125	37	18	.	.	PUNCT
globalce-125	38	1	as	as	ADP
globalce-125	38	2	a	a	DET
globalce-125	38	3	result	result	NOUN
globalce-125	38	4	,	,	PUNCT
globalce-125	38	5	they	they	PRON
globalce-125	38	6	determine	determine	VERB
globalce-125	38	7	that	that	SCONJ
globalce-125	38	8	the	the	DET
globalce-125	38	9	rf	rf	NOUN
globalce-125	38	10	obtains	obtain	VERB
globalce-125	38	11	the	the	DET
globalce-125	38	12	best	good	ADJ
globalce-125	38	13	results	result	NOUN
globalce-125	38	14	,	,	PUNCT
globalce-125	38	15	reaching	reach	VERB
globalce-125	38	16	a	a	DET
globalce-125	38	17	97	97	NUM
globalce-125	38	18	%	%	NOUN
globalce-125	38	19	accuracy	accuracy	NOUN
globalce-125	38	20	with	with	ADP
globalce-125	38	21	their	their	PRON
globalce-125	38	22	own	own	ADJ
globalce-125	38	23	records	record	NOUN
globalce-125	38	24	.	.	PUNCT
globalce-125	39	1	finally	finally	ADV
globalce-125	39	2	,	,	PUNCT
globalce-125	39	3	aboalayon	aboalayon	VERB
globalce-125	39	4	et	et	PROPN
globalce-125	39	5	al.11	al.11	PROPN
globalce-125	39	6	compare	compare	VERB
globalce-125	39	7	the	the	DET
globalce-125	39	8	dt	dt	PROPN
globalce-125	39	9	,	,	PUNCT
globalce-125	39	10	svm	svm	PROPN
globalce-125	39	11	,	,	PUNCT
globalce-125	39	12	ann	ann	PROPN
globalce-125	39	13	,	,	PUNCT
globalce-125	39	14	k	k	PROPN
globalce-125	39	15	-	-	PUNCT
globalce-125	39	16	nearest	near	ADJ
globalce-125	39	17	neighbors	neighbor	NOUN
globalce-125	39	18	,	,	PUNCT
globalce-125	39	19	naive	naive	ADJ
globalce-125	39	20	bayes	bayes	NOUN
globalce-125	39	21	(	(	PUNCT
globalce-125	39	22	nb	nb	NOUN
globalce-125	39	23	)	)	PUNCT
globalce-125	39	24	,	,	PUNCT
globalce-125	39	25	and	and	CCONJ
globalce-125	39	26	lda	lda	PROPN
globalce-125	39	27	classifiers	classifier	NOUN
globalce-125	39	28	.	.	PUNCT
globalce-125	40	1	in	in	ADP
globalce-125	40	2	their	their	PRON
globalce-125	40	3	work	work	NOUN
globalce-125	40	4	,	,	PUNCT
globalce-125	40	5	the	the	DET
globalce-125	40	6	dt	dt	PROPN
globalce-125	40	7	classifier	classifier	NOUN
globalce-125	40	8	obtained	obtain	VERB
globalce-125	40	9	the	the	DET
globalce-125	40	10	best	good	ADJ
globalce-125	40	11	results	result	NOUN
globalce-125	40	12	with	with	ADP
globalce-125	40	13	a	a	DET
globalce-125	40	14	93	93	NUM
globalce-125	40	15	%	%	NOUN
globalce-125	40	16	accuracy	accuracy	NOUN
globalce-125	40	17	on	on	ADP
globalce-125	40	18	records	record	NOUN
globalce-125	40	19	from	from	ADP
globalce-125	40	20	the	the	DET
globalce-125	40	21	sleep	sleep	NOUN
globalce-125	40	22	-	-	PUNCT
globalce-125	40	23	edf	edf	PROPN
globalce-125	40	24	dataset	dataset	NOUN
globalce-125	40	25	.	.	PUNCT
globalce-125	41	1	finally	finally	ADV
globalce-125	41	2	,	,	PUNCT
globalce-125	41	3	the	the	DET
globalce-125	41	4	deep	deep	ADJ
globalce-125	41	5	learning	learning	NOUN
globalce-125	41	6	techniques	technique	NOUN
globalce-125	41	7	also	also	ADV
globalce-125	41	8	have	have	AUX
globalce-125	41	9	gained	gain	VERB
globalce-125	41	10	a	a	DET
globalce-125	41	11	foothold	foothold	NOUN
globalce-125	41	12	in	in	ADP
globalce-125	41	13	sleep	sleep	NOUN
globalce-125	41	14	stage	stage	NOUN
globalce-125	41	15	scoring	scoring	NOUN
globalce-125	41	16	.	.	PUNCT
globalce-125	42	1	for	for	ADP
globalce-125	42	2	example	example	NOUN
globalce-125	42	3	,	,	PUNCT
globalce-125	42	4	zhang	zhang	PROPN
globalce-125	42	5	et	et	PROPN
globalce-125	42	6	al.12	al.12	VERB
globalce-125	42	7	propose	propose	ADJ
globalce-125	42	8	using	use	VERB
globalce-125	42	9	a	a	DET
globalce-125	42	10	recurrent	recurrent	ADJ
globalce-125	42	11	neural	neural	ADJ
globalce-125	42	12	network	network	NOUN
globalce-125	42	13	(	(	PUNCT
globalce-125	42	14	rnn	rnn	PROPN
globalce-125	42	15	)	)	PUNCT
globalce-125	42	16	as	as	ADP
globalce-125	42	17	a	a	DET
globalce-125	42	18	classifier	classifier	NOUN
globalce-125	42	19	but	but	CCONJ
globalce-125	42	20	using	use	VERB
globalce-125	42	21	conventional	conventional	ADJ
globalce-125	42	22	feature	feature	NOUN
globalce-125	42	23	extraction	extraction	NOUN
globalce-125	42	24	methods	method	NOUN
globalce-125	42	25	.	.	PUNCT
globalce-125	43	1	their	their	PRON
globalce-125	43	2	algorithm	algorithm	NOUN
globalce-125	43	3	reaches	reach	VERB
globalce-125	43	4	80.25	80.25	NUM
globalce-125	43	5	%	%	NOUN
globalce-125	43	6	accuracy	accuracy	NOUN
globalce-125	43	7	on	on	ADP
globalce-125	43	8	the	the	DET
globalce-125	43	9	shhs5	shhs5	ADJ
globalce-125	43	10	dataset	dataset	NOUN
globalce-125	43	11	records	record	NOUN
globalce-125	43	12	.	.	PUNCT
globalce-125	44	1	alternatively	alternatively	ADV
globalce-125	44	2	,	,	PUNCT
globalce-125	44	3	yildirim	yildirim	PROPN
globalce-125	44	4	et	et	PROPN
globalce-125	44	5	al.13	al.13	PROPN
globalce-125	44	6	present	present	VERB
globalce-125	44	7	a	a	DET
globalce-125	44	8	convolution	convolution	NOUN
globalce-125	44	9	neural	neural	ADJ
globalce-125	44	10	network	network	NOUN
globalce-125	44	11	-	-	PUNCT
globalce-125	44	12	based	base	VERB
globalce-125	44	13	algorithm	algorithm	NOUN
globalce-125	44	14	that	that	PRON
globalce-125	44	15	uses	use	VERB
globalce-125	44	16	convolutional	convolutional	ADJ
globalce-125	44	17	layers	layer	NOUN
globalce-125	44	18	for	for	ADP
globalce-125	44	19	feature	feature	NOUN
globalce-125	44	20	extraction	extraction	NOUN
globalce-125	44	21	,	,	PUNCT
globalce-125	44	22	with	with	ADP
globalce-125	44	23	a	a	DET
globalce-125	44	24	91	91	NUM
globalce-125	44	25	%	%	NOUN
globalce-125	44	26	accuracy	accuracy	NOUN
globalce-125	44	27	on	on	ADP
globalce-125	44	28	sleep	sleep	NOUN
globalce-125	44	29	-	-	PUNCT
globalce-125	44	30	edf	edf	PROPN
globalce-125	44	31	records	record	NOUN
globalce-125	44	32	.	.	PUNCT
globalce-125	45	1	additionally	additionally	ADV
globalce-125	45	2	,	,	PUNCT
globalce-125	45	3	supratak	supratak	NOUN
globalce-125	45	4	et	et	PROPN
globalce-125	45	5	al.14	al.14	PROPN
globalce-125	45	6	use	use	VERB
globalce-125	45	7	a	a	DET
globalce-125	45	8	convolutional	convolutional	ADJ
globalce-125	45	9	neural	neural	ADJ
globalce-125	45	10	networks	network	NOUN
globalce-125	45	11	(	(	PUNCT
globalce-125	45	12	cnn	cnn	PROPN
globalce-125	45	13	)	)	PUNCT
globalce-125	45	14	combined	combine	VERB
globalce-125	45	15	with	with	ADP
globalce-125	45	16	an	an	DET
globalce-125	45	17	rnn	rnn	NOUN
globalce-125	45	18	,	,	PUNCT
globalce-125	45	19	reaching	reach	VERB
globalce-125	45	20	an	an	DET
globalce-125	45	21	82	82	NUM
globalce-125	45	22	%	%	NOUN
globalce-125	45	23	accuracy	accuracy	NOUN
globalce-125	45	24	on	on	ADP
globalce-125	45	25	the	the	DET
globalce-125	45	26	same	same	ADJ
globalce-125	45	27	records	record	NOUN
globalce-125	45	28	.	.	PUNCT
globalce-125	46	1	the	the	DET
globalce-125	46	2	goal	goal	NOUN
globalce-125	46	3	of	of	ADP
globalce-125	46	4	this	this	DET
globalce-125	46	5	work	work	NOUN
globalce-125	46	6	is	be	AUX
globalce-125	46	7	to	to	PART
globalce-125	46	8	select	select	VERB
globalce-125	46	9	a	a	DET
globalce-125	46	10	sleep	sleep	NOUN
globalce-125	46	11	stage	stage	NOUN
globalce-125	46	12	scoring	scoring	NOUN
globalce-125	46	13	algorithm	algorithm	NOUN
globalce-125	46	14	to	to	PART
globalce-125	46	15	facilitate	facilitate	VERB
globalce-125	46	16	the	the	DET
globalce-125	46	17	work	work	NOUN
globalce-125	46	18	of	of	ADP
globalce-125	46	19	the	the	DET
globalce-125	46	20	experts	expert	NOUN
globalce-125	46	21	.	.	PUNCT
globalce-125	47	1	furthermore	furthermore	ADV
globalce-125	47	2	,	,	PUNCT
globalce-125	47	3	the	the	DET
globalce-125	47	4	algorithm	algorithm	NOUN
globalce-125	47	5	should	should	AUX
globalce-125	47	6	be	be	AUX
globalce-125	47	7	included	include	VERB
globalce-125	47	8	in	in	ADP
globalce-125	47	9	a	a	DET
globalce-125	47	10	software	software	NOUN
globalce-125	47	11	system	system	NOUN
globalce-125	47	12	j	j	PROPN
globalce-125	47	13	global	global	ADJ
globalce-125	47	14	clinical	clinical	ADJ
globalce-125	47	15	engineering	engineering	NOUN
globalce-125	47	16	vol.5	vol.5	ADJ
globalce-125	47	17	issue	issue	NOUN
globalce-125	47	18	1	1	NUM
globalce-125	47	19	:	:	SYM
globalce-125	47	20	2022	2022	NUM
globalce-125	47	21	10	10	NUM
globalce-125	47	22	labrada	labrada	NOUN
globalce-125	47	23	,	,	PUNCT
globalce-125	47	24	febles	feble	NOUN
globalce-125	47	25	,	,	PUNCT
globalce-125	47	26	antelo	antelo	ADV
globalce-125	47	27	:	:	PUNCT
globalce-125	47	28	comparison	comparison	NOUN
globalce-125	47	29	of	of	ADP
globalce-125	47	30	automatic	automatic	ADJ
globalce-125	47	31	sleep	sleep	NOUN
globalce-125	47	32	stage	stage	NOUN
globalce-125	47	33	classification	classification	NOUN
globalce-125	47	34	methods	method	NOUN
globalce-125	47	35	for	for	ADP
globalce-125	47	36	clinical	clinical	ADJ
globalce-125	47	37	use	use	NOUN
globalce-125	47	38	for	for	ADP
globalce-125	47	39	the	the	DET
globalce-125	47	40	clinical	clinical	ADJ
globalce-125	47	41	analysis	analysis	NOUN
globalce-125	47	42	of	of	ADP
globalce-125	47	43	polysomnographic	polysomnographic	ADJ
globalce-125	47	44	records	record	NOUN
globalce-125	47	45	.	.	PUNCT
globalce-125	48	1	therefore	therefore	ADV
globalce-125	48	2	,	,	PUNCT
globalce-125	48	3	the	the	DET
globalce-125	48	4	selection	selection	NOUN
globalce-125	48	5	should	should	AUX
globalce-125	48	6	be	be	AUX
globalce-125	48	7	based	base	VERB
globalce-125	48	8	on	on	ADP
globalce-125	48	9	the	the	DET
globalce-125	48	10	accuracy	accuracy	NOUN
globalce-125	48	11	of	of	ADP
globalce-125	48	12	the	the	DET
globalce-125	48	13	predictions	prediction	NOUN
globalce-125	48	14	and	and	CCONJ
globalce-125	48	15	consider	consider	VERB
globalce-125	48	16	execution	execution	NOUN
globalce-125	48	17	time	time	NOUN
globalce-125	48	18	and	and	CCONJ
globalce-125	48	19	the	the	DET
globalce-125	48	20	general	general	ADJ
globalce-125	48	21	availability	availability	NOUN
globalce-125	48	22	of	of	ADP
globalce-125	48	23	the	the	DET
globalce-125	48	24	input	input	NOUN
globalce-125	48	25	data	datum	NOUN
globalce-125	48	26	.	.	PUNCT
globalce-125	49	1	with	with	ADP
globalce-125	49	2	that	that	PRON
globalce-125	49	3	in	in	ADP
globalce-125	49	4	mind	mind	NOUN
globalce-125	49	5	,	,	PUNCT
globalce-125	49	6	the	the	DET
globalce-125	49	7	performance	performance	NOUN
globalce-125	49	8	of	of	ADP
globalce-125	49	9	several	several	ADJ
globalce-125	49	10	algorithms	algorithm	NOUN
globalce-125	49	11	from	from	ADP
globalce-125	49	12	the	the	DET
globalce-125	49	13	scientific	scientific	ADJ
globalce-125	49	14	literature	literature	NOUN
globalce-125	49	15	will	will	AUX
globalce-125	49	16	be	be	AUX
globalce-125	49	17	compared	compare	VERB
globalce-125	49	18	using	use	VERB
globalce-125	49	19	the	the	DET
globalce-125	49	20	same	same	ADJ
globalce-125	49	21	records	record	NOUN
globalce-125	49	22	and	and	CCONJ
globalce-125	49	23	in	in	ADP
globalce-125	49	24	similar	similar	ADJ
globalce-125	49	25	conditions	condition	NOUN
globalce-125	49	26	.	.	PUNCT
globalce-125	50	1	materials	material	NOUN
globalce-125	50	2	the	the	DET
globalce-125	50	3	work	work	NOUN
globalce-125	50	4	uses	use	VERB
globalce-125	50	5	psg	psg	NOUN
globalce-125	50	6	records	record	NOUN
globalce-125	50	7	from	from	ADP
globalce-125	50	8	the	the	DET
globalce-125	50	9	sleep	sleep	NOUN
globalce-125	50	10	cassette	cassette	NOUN
globalce-125	50	11	dataset	dataset	NOUN
globalce-125	50	12	belonging	belong	VERB
globalce-125	50	13	to	to	ADP
globalce-125	50	14	sleep	sleep	NOUN
globalce-125	50	15	-	-	PUNCT
globalce-125	50	16	edfx.5,9	edfx.5,9	NOUN
globalce-125	50	17	the	the	DET
globalce-125	50	18	dataset	dataset	NOUN
globalce-125	50	19	has	have	VERB
globalce-125	50	20	153	153	NUM
globalce-125	50	21	subjects	subject	NOUN
globalce-125	50	22	between	between	ADP
globalce-125	50	23	25	25	NUM
globalce-125	50	24	and	and	CCONJ
globalce-125	50	25	101	101	NUM
globalce-125	50	26	years	year	NOUN
globalce-125	50	27	old	old	ADJ
globalce-125	50	28	and	and	CCONJ
globalce-125	50	29	was	be	AUX
globalce-125	50	30	scored	score	VERB
globalce-125	50	31	by	by	ADP
globalce-125	50	32	several	several	ADJ
globalce-125	50	33	experts	expert	NOUN
globalce-125	50	34	following	follow	VERB
globalce-125	50	35	the	the	DET
globalce-125	50	36	rechtschaffen	rechtschaffen	NOUN
globalce-125	50	37	and	and	CCONJ
globalce-125	50	38	kales	kale	NOUN
globalce-125	50	39	(	(	PUNCT
globalce-125	50	40	r	r	NOUN
globalce-125	50	41	&	&	CCONJ
globalce-125	50	42	k)15	k)15	NOUN
globalce-125	50	43	rules	rule	NOUN
globalce-125	50	44	.	.	PUNCT
globalce-125	51	1	the	the	DET
globalce-125	51	2	records	record	NOUN
globalce-125	51	3	include	include	VERB
globalce-125	51	4	two	two	NUM
globalce-125	51	5	eeg	eeg	NOUN
globalce-125	51	6	and	and	CCONJ
globalce-125	51	7	one	one	NUM
globalce-125	51	8	eog	eog	PROPN
globalce-125	51	9	signal	signal	NOUN
globalce-125	51	10	,	,	PUNCT
globalce-125	51	11	samples	sample	NOUN
globalce-125	51	12	at	at	ADP
globalce-125	51	13	100	100	NUM
globalce-125	51	14	hz	hz	NOUN
globalce-125	51	15	,	,	PUNCT
globalce-125	51	16	and	and	CCONJ
globalce-125	51	17	one	one	NUM
globalce-125	51	18	emg	emg	NOUN
globalce-125	51	19	signal	signal	NOUN
globalce-125	51	20	at	at	ADP
globalce-125	51	21	1	1	NUM
globalce-125	51	22	hz	hz	NOUN
globalce-125	51	23	.	.	PUNCT
globalce-125	52	1	both	both	PRON
globalce-125	52	2	eog	eog	PROPN
globalce-125	52	3	and	and	CCONJ
globalce-125	52	4	emg	emg	NOUN
globalce-125	52	5	signals	signal	NOUN
globalce-125	52	6	are	be	AUX
globalce-125	52	7	considered	consider	VERB
globalce-125	52	8	in	in	ADP
globalce-125	52	9	this	this	DET
globalce-125	52	10	work	work	NOUN
globalce-125	52	11	,	,	PUNCT
globalce-125	52	12	but	but	CCONJ
globalce-125	52	13	only	only	ADV
globalce-125	52	14	the	the	DET
globalce-125	52	15	fpz	fpz	NOUN
globalce-125	52	16	-	-	PUNCT
globalce-125	52	17	cz	cz	NOUN
globalce-125	52	18	channel	channel	NOUN
globalce-125	52	19	is	be	AUX
globalce-125	52	20	used	use	VERB
globalce-125	52	21	from	from	ADP
globalce-125	52	22	the	the	DET
globalce-125	52	23	eeg	eeg	NOUN
globalce-125	52	24	signals	signal	NOUN
globalce-125	52	25	.	.	PUNCT
globalce-125	53	1	that	that	DET
globalce-125	53	2	way	way	NOUN
globalce-125	53	3	,	,	PUNCT
globalce-125	53	4	all	all	DET
globalce-125	53	5	the	the	DET
globalce-125	53	6	implemented	implement	VERB
globalce-125	53	7	algorithms	algorithm	NOUN
globalce-125	53	8	depend	depend	VERB
globalce-125	53	9	only	only	ADV
globalce-125	53	10	on	on	ADP
globalce-125	53	11	the	the	DET
globalce-125	53	12	minimum	minimum	ADJ
globalce-125	53	13	parameters	parameter	NOUN
globalce-125	53	14	of	of	ADP
globalce-125	53	15	any	any	DET
globalce-125	53	16	psg	psg	NOUN
globalce-125	53	17	record.1	record.1	NOUN
globalce-125	53	18	the	the	DET
globalce-125	53	19	dataset	dataset	NOUN
globalce-125	53	20	is	be	AUX
globalce-125	53	21	split	split	VERB
globalce-125	53	22	into	into	ADP
globalce-125	53	23	two	two	NUM
globalce-125	53	24	parts	part	NOUN
globalce-125	53	25	of	of	ADP
globalce-125	53	26	approximately	approximately	ADV
globalce-125	53	27	the	the	DET
globalce-125	53	28	same	same	ADJ
globalce-125	53	29	number	number	NOUN
globalce-125	53	30	of	of	ADP
globalce-125	53	31	records	record	NOUN
globalce-125	53	32	.	.	PUNCT
globalce-125	54	1	the	the	DET
globalce-125	54	2	first	first	ADJ
globalce-125	54	3	half	half	NOUN
globalce-125	54	4	contains	contain	VERB
globalce-125	54	5	the	the	DET
globalce-125	54	6	subjects	subject	NOUN
globalce-125	54	7	with	with	ADP
globalce-125	54	8	identifications	identification	NOUN
globalce-125	54	9	00	00	PUNCT
globalce-125	54	10	through	through	ADP
globalce-125	54	11	38	38	NUM
globalce-125	54	12	and	and	CCONJ
globalce-125	54	13	is	be	AUX
globalce-125	54	14	reserved	reserve	VERB
globalce-125	54	15	for	for	ADP
globalce-125	54	16	training	train	VERB
globalce-125	54	17	the	the	DET
globalce-125	54	18	scoring	scoring	NOUN
globalce-125	54	19	algorithms	algorithm	NOUN
globalce-125	54	20	.	.	PUNCT
globalce-125	55	1	the	the	DET
globalce-125	55	2	second	second	ADJ
globalce-125	55	3	one	one	NOUN
globalce-125	55	4	,	,	PUNCT
globalce-125	55	5	with	with	ADP
globalce-125	55	6	subjects	subject	NOUN
globalce-125	55	7	40	40	NUM
globalce-125	55	8	through	through	ADP
globalce-125	55	9	82	82	NUM
globalce-125	55	10	,	,	PUNCT
globalce-125	55	11	is	be	AUX
globalce-125	55	12	used	use	VERB
globalce-125	55	13	to	to	PART
globalce-125	55	14	evaluate	evaluate	VERB
globalce-125	55	15	and	and	CCONJ
globalce-125	55	16	compare	compare	VERB
globalce-125	55	17	the	the	DET
globalce-125	55	18	performance	performance	NOUN
globalce-125	55	19	of	of	ADP
globalce-125	55	20	said	say	VERB
globalce-125	55	21	algorithms	algorithm	NOUN
globalce-125	55	22	.	.	PUNCT
globalce-125	56	1	methods	method	NOUN
globalce-125	56	2	the	the	DET
globalce-125	56	3	analyzed	analyze	VERB
globalce-125	56	4	algorithms	algorithm	NOUN
globalce-125	56	5	’	'	PUNCT
globalce-125	56	6	execution	execution	NOUN
globalce-125	56	7	time	time	NOUN
globalce-125	56	8	can	can	AUX
globalce-125	56	9	be	be	AUX
globalce-125	56	10	split	split	VERB
globalce-125	56	11	into	into	ADP
globalce-125	56	12	three	three	NUM
globalce-125	56	13	main	main	ADJ
globalce-125	56	14	phases	phase	NOUN
globalce-125	56	15	:	:	PUNCT
globalce-125	56	16	data	datum	NOUN
globalce-125	56	17	preprocessing	preprocessing	NOUN
globalce-125	56	18	,	,	PUNCT
globalce-125	56	19	feature	feature	NOUN
globalce-125	56	20	extraction	extraction	NOUN
globalce-125	56	21	,	,	PUNCT
globalce-125	56	22	and	and	CCONJ
globalce-125	56	23	classification	classification	NOUN
globalce-125	56	24	.	.	PUNCT
globalce-125	57	1	the	the	DET
globalce-125	57	2	preprocessing	preprocessing	NOUN
globalce-125	57	3	and	and	CCONJ
globalce-125	57	4	feature	feature	NOUN
globalce-125	57	5	extraction	extraction	NOUN
globalce-125	57	6	phases	phase	NOUN
globalce-125	57	7	are	be	AUX
globalce-125	57	8	implemented	implement	VERB
globalce-125	57	9	in	in	ADP
globalce-125	57	10	the	the	DET
globalce-125	57	11	python	python	NOUN
globalce-125	57	12	and	and	CCONJ
globalce-125	57	13	c	c	NOUN
globalce-125	57	14	#	#	NOUN
globalce-125	57	15	programming	programming	NOUN
globalce-125	57	16	languages	language	NOUN
globalce-125	57	17	.	.	PUNCT
globalce-125	58	1	for	for	ADP
globalce-125	58	2	the	the	DET
globalce-125	58	3	classification	classification	NOUN
globalce-125	58	4	,	,	PUNCT
globalce-125	58	5	the	the	DET
globalce-125	58	6	work	work	NOUN
globalce-125	58	7	additionally	additionally	ADV
globalce-125	58	8	employs	employ	VERB
globalce-125	58	9	the	the	DET
globalce-125	58	10	weka	weka	PROPN
globalce-125	58	11	software	software	NOUN
globalce-125	58	12	system16,17	system16,17	VERB
globalce-125	58	13	from	from	ADP
globalce-125	58	14	the	the	DET
globalce-125	58	15	university	university	NOUN
globalce-125	58	16	of	of	ADP
globalce-125	58	17	waikato	waikato	PROPN
globalce-125	58	18	,	,	PUNCT
globalce-125	58	19	new	new	PROPN
globalce-125	58	20	zealand	zealand	PROPN
globalce-125	58	21	.	.	PUNCT
globalce-125	59	1	preprocessing	preprocesse	VERB
globalce-125	59	2	the	the	DET
globalce-125	59	3	goal	goal	NOUN
globalce-125	59	4	of	of	ADP
globalce-125	59	5	the	the	DET
globalce-125	59	6	preprocessing	preprocessing	NOUN
globalce-125	59	7	phase	phase	NOUN
globalce-125	59	8	is	be	AUX
globalce-125	59	9	to	to	PART
globalce-125	59	10	prepare	prepare	VERB
globalce-125	59	11	the	the	DET
globalce-125	59	12	data	datum	NOUN
globalce-125	59	13	for	for	ADP
globalce-125	59	14	the	the	DET
globalce-125	59	15	feature	feature	NOUN
globalce-125	59	16	extraction	extraction	NOUN
globalce-125	59	17	phase	phase	NOUN
globalce-125	59	18	.	.	PUNCT
globalce-125	60	1	to	to	PART
globalce-125	60	2	achieve	achieve	VERB
globalce-125	60	3	it	it	PRON
globalce-125	60	4	,	,	PUNCT
globalce-125	60	5	all	all	DET
globalce-125	60	6	signals	signal	NOUN
globalce-125	60	7	are	be	AUX
globalce-125	60	8	uniformly	uniformly	ADV
globalce-125	60	9	sampled	sample	VERB
globalce-125	60	10	at	at	ADP
globalce-125	60	11	100	100	NUM
globalce-125	60	12	hz	hz	NOUN
globalce-125	60	13	,	,	PUNCT
globalce-125	60	14	and	and	CCONJ
globalce-125	60	15	no	no	DET
globalce-125	60	16	digital	digital	ADJ
globalce-125	60	17	filtering	filtering	NOUN
globalce-125	60	18	is	be	AUX
globalce-125	60	19	applied	apply	VERB
globalce-125	60	20	beyond	beyond	ADP
globalce-125	60	21	what	what	PRON
globalce-125	60	22	is	be	AUX
globalce-125	60	23	already	already	ADV
globalce-125	60	24	included	include	VERB
globalce-125	60	25	in	in	ADP
globalce-125	60	26	the	the	DET
globalce-125	60	27	dataset	dataset	NOUN
globalce-125	60	28	:	:	PUNCT
globalce-125	60	29	0.5	0.5	NUM
globalce-125	60	30	to	to	PART
globalce-125	60	31	100	100	NUM
globalce-125	60	32	hz	hz	NOUN
globalce-125	60	33	range	range	NOUN
globalce-125	60	34	for	for	ADP
globalce-125	60	35	eeg	eeg	PROPN
globalce-125	60	36	and	and	CCONJ
globalce-125	60	37	eog	eog	PROPN
globalce-125	60	38	and	and	CCONJ
globalce-125	60	39	0.7	0.7	NUM
globalce-125	60	40	to	to	PART
globalce-125	60	41	16	16	NUM
globalce-125	60	42	hz	hz	NOUN
globalce-125	60	43	,	,	PUNCT
globalce-125	60	44	for	for	ADP
globalce-125	60	45	emg	emg	NOUN
globalce-125	60	46	.	.	PUNCT
globalce-125	61	1	the	the	DET
globalce-125	61	2	records	record	NOUN
globalce-125	61	3	are	be	AUX
globalce-125	61	4	segmented	segment	VERB
globalce-125	61	5	in	in	ADP
globalce-125	61	6	30	30	NUM
globalce-125	61	7	-	-	PUNCT
globalce-125	61	8	second	second	NOUN
globalce-125	61	9	windows	window	NOUN
globalce-125	61	10	that	that	PRON
globalce-125	61	11	match	match	VERB
globalce-125	61	12	the	the	DET
globalce-125	61	13	epochs	epoch	NOUN
globalce-125	61	14	that	that	PRON
globalce-125	61	15	will	will	AUX
globalce-125	61	16	be	be	AUX
globalce-125	61	17	classified	classify	VERB
globalce-125	61	18	later	later	ADV
globalce-125	61	19	.	.	PUNCT
globalce-125	62	1	also	also	ADV
globalce-125	62	2	,	,	PUNCT
globalce-125	62	3	the	the	DET
globalce-125	62	4	third	third	ADJ
globalce-125	62	5	and	and	CCONJ
globalce-125	62	6	fourth	fourth	ADJ
globalce-125	62	7	non	non	ADJ
globalce-125	62	8	-	-	ADJ
globalce-125	62	9	rem	rem	VERB
globalce-125	62	10	sleep	sleep	NOUN
globalce-125	62	11	stages	stage	NOUN
globalce-125	62	12	from	from	ADP
globalce-125	62	13	r	r	NOUN
globalce-125	62	14	&	&	CCONJ
globalce-125	62	15	k	k	PROPN
globalce-125	62	16	are	be	AUX
globalce-125	62	17	combined	combine	VERB
globalce-125	62	18	into	into	ADP
globalce-125	62	19	one	one	NUM
globalce-125	62	20	slow	slow	ADJ
globalce-125	62	21	wave	wave	NOUN
globalce-125	62	22	sleep	sleep	NOUN
globalce-125	62	23	or	or	CCONJ
globalce-125	62	24	n3	n3	VERB
globalce-125	62	25	stage1,7	stage1,7	PROPN
globalce-125	62	26	to	to	PART
globalce-125	62	27	fit	fit	VERB
globalce-125	62	28	better	well	ADJ
globalce-125	62	29	the	the	DET
globalce-125	62	30	aasm	aasm	NOUN
globalce-125	62	31	stages	stage	NOUN
globalce-125	62	32	.	.	PUNCT
globalce-125	63	1	additionally	additionally	ADV
globalce-125	63	2	,	,	PUNCT
globalce-125	63	3	the	the	DET
globalce-125	63	4	unknown	unknown	ADJ
globalce-125	63	5	or	or	CCONJ
globalce-125	63	6	invalid	invalid	ADJ
globalce-125	63	7	sleep	sleep	NOUN
globalce-125	63	8	stages	stage	NOUN
globalce-125	63	9	are	be	AUX
globalce-125	63	10	excluded	exclude	VERB
globalce-125	63	11	from	from	ADP
globalce-125	63	12	consideration	consideration	NOUN
globalce-125	63	13	.	.	PUNCT
globalce-125	64	1	the	the	DET
globalce-125	64	2	wake	wake	NOUN
globalce-125	64	3	stages	stage	NOUN
globalce-125	64	4	before	before	ADP
globalce-125	64	5	the	the	DET
globalce-125	64	6	first	first	ADJ
globalce-125	64	7	and	and	CCONJ
globalce-125	64	8	posterior	posterior	ADJ
globalce-125	64	9	to	to	ADP
globalce-125	64	10	the	the	DET
globalce-125	64	11	last	last	ADJ
globalce-125	64	12	sleep	sleep	NOUN
globalce-125	64	13	stages	stage	NOUN
globalce-125	64	14	are	be	AUX
globalce-125	64	15	also	also	ADV
globalce-125	64	16	excluded	exclude	VERB
globalce-125	64	17	from	from	ADP
globalce-125	64	18	the	the	DET
globalce-125	64	19	training	training	NOUN
globalce-125	64	20	dataset	dataset	NOUN
globalce-125	64	21	records	record	NOUN
globalce-125	64	22	.	.	PUNCT
globalce-125	65	1	the	the	DET
globalce-125	65	2	latter	latter	ADJ
globalce-125	65	3	operation	operation	NOUN
globalce-125	65	4	reduces	reduce	VERB
globalce-125	65	5	the	the	DET
globalce-125	65	6	disparities	disparity	NOUN
globalce-125	65	7	in	in	ADP
globalce-125	65	8	the	the	DET
globalce-125	65	9	amounts	amount	NOUN
globalce-125	65	10	of	of	ADP
globalce-125	65	11	epochs	epoch	NOUN
globalce-125	65	12	classified	classify	VERB
globalce-125	65	13	with	with	ADP
globalce-125	65	14	each	each	DET
globalce-125	65	15	sleep	sleep	NOUN
globalce-125	65	16	stage	stage	NOUN
globalce-125	65	17	.	.	PUNCT
globalce-125	66	1	besides	besides	SCONJ
globalce-125	66	2	,	,	PUNCT
globalce-125	66	3	more	more	ADV
globalce-125	66	4	importantly	importantly	ADV
globalce-125	66	5	,	,	PUNCT
globalce-125	66	6	for	for	ADP
globalce-125	66	7	the	the	DET
globalce-125	66	8	rnn	rnn	NOUN
globalce-125	66	9	classifiers	classifier	NOUN
globalce-125	66	10	,	,	PUNCT
globalce-125	66	11	it	it	PRON
globalce-125	66	12	does	do	AUX
globalce-125	66	13	not	not	PART
globalce-125	66	14	affect	affect	VERB
globalce-125	66	15	the	the	DET
globalce-125	66	16	continuity	continuity	NOUN
globalce-125	66	17	of	of	ADP
globalce-125	66	18	a	a	DET
globalce-125	66	19	record	record	NOUN
globalce-125	66	20	’s	’s	PART
globalce-125	66	21	epochs	epoch	NOUN
globalce-125	66	22	.	.	PUNCT
globalce-125	67	1	feature	feature	NOUN
globalce-125	67	2	extraction	extraction	NOUN
globalce-125	67	3	the	the	DET
globalce-125	67	4	feature	feature	NOUN
globalce-125	67	5	extraction	extraction	NOUN
globalce-125	67	6	phase	phase	NOUN
globalce-125	67	7	obtains	obtain	VERB
globalce-125	67	8	descriptive	descriptive	ADJ
globalce-125	67	9	values	value	NOUN
globalce-125	67	10	that	that	PRON
globalce-125	67	11	reflect	reflect	VERB
globalce-125	67	12	the	the	DET
globalce-125	67	13	information	information	NOUN
globalce-125	67	14	inside	inside	ADP
globalce-125	67	15	the	the	DET
globalce-125	67	16	relevant	relevant	ADJ
globalce-125	67	17	signals	signal	NOUN
globalce-125	67	18	for	for	ADP
globalce-125	67	19	the	the	DET
globalce-125	67	20	classification	classification	NOUN
globalce-125	67	21	process	process	NOUN
globalce-125	67	22	.	.	PUNCT
globalce-125	68	1	the	the	DET
globalce-125	68	2	values	value	NOUN
globalce-125	68	3	or	or	CCONJ
globalce-125	68	4	features	feature	NOUN
globalce-125	68	5	used	use	VERB
globalce-125	68	6	in	in	ADP
globalce-125	68	7	this	this	DET
globalce-125	68	8	work	work	NOUN
globalce-125	68	9	are	be	AUX
globalce-125	68	10	obtained	obtain	VERB
globalce-125	68	11	by	by	ADP
globalce-125	68	12	analyzing	analyze	VERB
globalce-125	68	13	the	the	DET
globalce-125	68	14	signals	signal	NOUN
globalce-125	68	15	in	in	ADP
globalce-125	68	16	each	each	DET
globalce-125	68	17	epoch	epoch	NOUN
globalce-125	68	18	in	in	ADP
globalce-125	68	19	the	the	DET
globalce-125	68	20	time	time	NOUN
globalce-125	68	21	domain	domain	NOUN
globalce-125	68	22	,	,	PUNCT
globalce-125	68	23	frequency	frequency	NOUN
globalce-125	68	24	domain	domain	NOUN
globalce-125	68	25	,	,	PUNCT
globalce-125	68	26	time	time	NOUN
globalce-125	68	27	-	-	PUNCT
globalce-125	68	28	frequency	frequency	NOUN
globalce-125	68	29	domain	domain	NOUN
globalce-125	68	30	,	,	PUNCT
globalce-125	68	31	and	and	CCONJ
globalce-125	68	32	other	other	ADJ
globalce-125	68	33	nonlinear	nonlinear	ADJ
globalce-125	68	34	means	mean	NOUN
globalce-125	68	35	.	.	PUNCT
globalce-125	69	1	descriptive	descriptive	ADJ
globalce-125	69	2	statistics	statistic	NOUN
globalce-125	69	3	these	these	DET
globalce-125	69	4	features	feature	NOUN
globalce-125	69	5	are	be	AUX
globalce-125	69	6	obtained	obtain	VERB
globalce-125	69	7	by	by	ADP
globalce-125	69	8	computing	compute	VERB
globalce-125	69	9	descriptive	descriptive	ADJ
globalce-125	69	10	statistics	statistic	NOUN
globalce-125	69	11	from	from	ADP
globalce-125	69	12	the	the	DET
globalce-125	69	13	signal	signal	NOUN
globalce-125	69	14	’s	’s	PART
globalce-125	69	15	samples	sample	NOUN
globalce-125	69	16	.	.	PUNCT
globalce-125	70	1	the	the	DET
globalce-125	70	2	mean	mean	ADJ
globalce-125	70	3	,	,	PUNCT
globalce-125	70	4	variance	variance	NOUN
globalce-125	70	5	,	,	PUNCT
globalce-125	70	6	kurtosis	kurtosis	NOUN
globalce-125	70	7	,	,	PUNCT
globalce-125	70	8	skewness	skewness	NOUN
globalce-125	70	9	,	,	PUNCT
globalce-125	70	10	and	and	CCONJ
globalce-125	70	11	75th	75th	ADJ
globalce-125	70	12	percentile	percentile	NOUN
globalce-125	70	13	have	have	AUX
globalce-125	70	14	been	be	AUX
globalce-125	70	15	employed	employ	VERB
globalce-125	70	16	in	in	ADP
globalce-125	70	17	this	this	DET
globalce-125	70	18	work	work	NOUN
globalce-125	70	19	.	.	PUNCT
globalce-125	71	1	entropy	entropy	PROPN
globalce-125	71	2	entropy	entropy	PROPN
globalce-125	71	3	is	be	AUX
globalce-125	71	4	a	a	DET
globalce-125	71	5	measure	measure	NOUN
globalce-125	71	6	of	of	ADP
globalce-125	71	7	the	the	DET
globalce-125	71	8	irregularity	irregularity	NOUN
globalce-125	71	9	of	of	ADP
globalce-125	71	10	a	a	DET
globalce-125	71	11	signal	signal	NOUN
globalce-125	71	12	in	in	ADP
globalce-125	71	13	the	the	DET
globalce-125	71	14	time	time	NOUN
globalce-125	71	15	domain.18	domain.18	ADJ
globalce-125	71	16	equation	equation	NOUN
globalce-125	71	17	1	1	NUM
globalce-125	71	18	shows	show	VERB
globalce-125	71	19	the	the	DET
globalce-125	71	20	formula	formula	NOUN
globalce-125	71	21	proposed	propose	VERB
globalce-125	71	22	by	by	ADP
globalce-125	71	23	shannon	shannon	PROPN
globalce-125	71	24	for	for	ADP
globalce-125	71	25	this	this	DET
globalce-125	71	26	measure	measure	NOUN
globalce-125	71	27	:	:	PUNCT
globalce-125	71	28	where	where	SCONJ
globalce-125	71	29	p(x_i	p(x_i	PROPN
globalce-125	71	30	)	)	PUNCT
globalce-125	71	31	is	be	AUX
globalce-125	71	32	the	the	DET
globalce-125	71	33	probability	probability	NOUN
globalce-125	71	34	of	of	ADP
globalce-125	71	35	a	a	DET
globalce-125	71	36	signal	signal	ADJ
globalce-125	71	37	sample	sample	NOUN
globalce-125	71	38	having	have	VERB
globalce-125	71	39	the	the	DET
globalce-125	71	40	value	value	NOUN
globalce-125	71	41	x_i	x_i	PUNCT
globalce-125	71	42	.	.	PUNCT
globalce-125	72	1	other	other	ADJ
globalce-125	72	2	estimation	estimation	NOUN
globalce-125	72	3	methods	method	NOUN
globalce-125	72	4	,	,	PUNCT
globalce-125	72	5	including	include	VERB
globalce-125	72	6	the	the	DET
globalce-125	72	7	approximate	approximate	ADJ
globalce-125	72	8	entropy	entropy	NOUN
globalce-125	72	9	,	,	PUNCT
globalce-125	72	10	are	be	AUX
globalce-125	72	11	displayed	display	VERB
globalce-125	72	12	in	in	ADP
globalce-125	72	13	equation	equation	NOUN
globalce-125	72	14	2	2	NUM
globalce-125	72	15	.	.	PUNCT
globalce-125	73	1	the	the	DET
globalce-125	73	2	values	value	NOUN
globalce-125	73	3	of	of	ADP
globalce-125	73	4	ϕ	ϕ	NOUN
globalce-125	73	5	can	can	AUX
globalce-125	73	6	be	be	AUX
globalce-125	73	7	obtained	obtain	VERB
globalce-125	73	8	using	use	VERB
globalce-125	73	9	an	an	DET
globalce-125	73	10	algorithm	algorithm	NOUN
globalce-125	73	11	that	that	PRON
globalce-125	73	12	represents	represent	VERB
globalce-125	73	13	the	the	DET
globalce-125	73	14	signal	signal	NOUN
globalce-125	73	15	in	in	ADP
globalce-125	73	16	the	the	DET
globalce-125	73	17	phase	phase	NOUN
globalce-125	73	18	domain	domain	NOUN
globalce-125	73	19	xi={xi	xi={xi	PROPN
globalce-125	73	20	,	,	PUNCT
globalce-125	73	21	 	 	SPACE
globalce-125	73	22	x(i+1	x(i+1	PUNCT
globalce-125	73	23	)	)	PUNCT
globalce-125	73	24	,	,	PUNCT
globalce-125	73	25	 	 	SPACE
globalce-125	73	26	...	...	PUNCT
globalce-125	73	27	,	,	PUNCT
globalce-125	73	28	 	 	SPACE
globalce-125	73	29	x(i+(m-1	x(i+(m-1	PROPN
globalce-125	73	30	)	)	PUNCT
globalce-125	73	31	)	)	PUNCT
globalce-125	73	32	}	}	PUNCT
globalce-125	73	33	and	and	CCONJ
globalce-125	73	34	calculates	calculate	VERB
globalce-125	73	35	the	the	DET
globalce-125	73	36	distance	distance	NOUN
globalce-125	73	37	between	between	ADP
globalce-125	73	38	those	those	DET
globalce-125	73	39	patterns	pattern	NOUN
globalce-125	73	40	using	use	VERB
globalce-125	73	41	the	the	DET
globalce-125	73	42	l1	l1	PROPN
globalce-125	73	43	norm	norm	NOUN
globalce-125	73	44	.	.	PUNCT
globalce-125	74	1	then	then	ADV
globalce-125	74	2	,	,	PUNCT
globalce-125	74	3	(	(	PUNCT
globalce-125	74	4	1	1	X
globalce-125	74	5	)	)	PUNCT
globalce-125	74	6	(	(	PUNCT
globalce-125	74	7	2	2	X
globalce-125	74	8	)	)	PUNCT
globalce-125	74	9	11	11	NUM
globalce-125	74	10	j	j	PROPN
globalce-125	74	11	global	global	ADJ
globalce-125	74	12	clinical	clinical	ADJ
globalce-125	74	13	engineering	engineering	NOUN
globalce-125	74	14	vol.5	vol.5	ADJ
globalce-125	74	15	issue	issue	NOUN
globalce-125	74	16	1	1	NUM
globalce-125	74	17	:	:	SYM
globalce-125	74	18	2022	2022	NUM
globalce-125	74	19	labrada	labrada	NOUN
globalce-125	74	20	,	,	PUNCT
globalce-125	74	21	febles	feble	NOUN
globalce-125	74	22	,	,	PUNCT
globalce-125	74	23	antelo	antelo	ADV
globalce-125	74	24	:	:	PUNCT
globalce-125	74	25	comparison	comparison	NOUN
globalce-125	74	26	of	of	ADP
globalce-125	74	27	automatic	automatic	ADJ
globalce-125	74	28	sleep	sleep	NOUN
globalce-125	74	29	stage	stage	NOUN
globalce-125	74	30	classification	classification	NOUN
globalce-125	74	31	methods	method	NOUN
globalce-125	74	32	for	for	ADP
globalce-125	74	33	clinical	clinical	ADJ
globalce-125	74	34	use	use	NOUN
globalce-125	74	35	where	where	SCONJ
globalce-125	74	36	is	be	AUX
globalce-125	74	37	the	the	DET
globalce-125	74	38	amount	amount	NOUN
globalce-125	74	39	of	of	ADP
globalce-125	74	40	xj	xj	PROPN
globalce-125	74	41	patterns	pattern	NOUN
globalce-125	74	42	that	that	PRON
globalce-125	74	43	satisfy	satisfy	VERB
globalce-125	74	44	∥xi	∥xi	PROPN
globalce-125	74	45	-	-	PUNCT
globalce-125	74	46	xj	xj	PROPN
globalce-125	74	47	∥1≤r	∥1≤r	NOUN
globalce-125	74	48	.	.	PUNCT
globalce-125	75	1	in	in	ADP
globalce-125	75	2	this	this	DET
globalce-125	75	3	work	work	NOUN
globalce-125	75	4	,	,	PUNCT
globalce-125	75	5	the	the	DET
globalce-125	75	6	pattern	pattern	NOUN
globalce-125	75	7	length	length	NOUN
globalce-125	75	8	(	(	PUNCT
globalce-125	75	9	m	m	NOUN
globalce-125	75	10	)	)	PUNCT
globalce-125	75	11	is	be	AUX
globalce-125	75	12	2	2	NUM
globalce-125	75	13	and	and	CCONJ
globalce-125	75	14	r	r	NOUN
globalce-125	75	15	is	be	AUX
globalce-125	75	16	the	the	DET
globalce-125	75	17	standard	standard	ADJ
globalce-125	75	18	deviation	deviation	NOUN
globalce-125	75	19	of	of	ADP
globalce-125	75	20	the	the	DET
globalce-125	75	21	signal	signal	NOUN
globalce-125	75	22	in	in	ADP
globalce-125	75	23	the	the	DET
globalce-125	75	24	epoch	epoch	NOUN
globalce-125	75	25	,	,	PUNCT
globalce-125	75	26	multiplied	multiply	VERB
globalce-125	75	27	by	by	ADP
globalce-125	75	28	0.1	0.1	NUM
globalce-125	75	29	,	,	PUNCT
globalce-125	75	30	as	as	SCONJ
globalce-125	75	31	estimated	estimate	VERB
globalce-125	75	32	in.18	in.18	PROPN
globalce-125	75	33	largest	large	ADJ
globalce-125	75	34	lyapunov	lyapunov	ADJ
globalce-125	75	35	exponent	exponent	NOUN
globalce-125	75	36	the	the	DET
globalce-125	75	37	largest	large	ADJ
globalce-125	75	38	lyapunov	lyapunov	ADJ
globalce-125	75	39	exponent	exponent	NOUN
globalce-125	75	40	(	(	PUNCT
globalce-125	75	41	lle	lle	PROPN
globalce-125	75	42	)	)	PUNCT
globalce-125	75	43	indicates	indicate	VERB
globalce-125	75	44	how	how	SCONJ
globalce-125	75	45	unpredictable	unpredictable	ADJ
globalce-125	75	46	a	a	DET
globalce-125	75	47	signal	signal	NOUN
globalce-125	75	48	is	be	AUX
globalce-125	75	49	.	.	PUNCT
globalce-125	76	1	it	it	PRON
globalce-125	76	2	has	have	AUX
globalce-125	76	3	been	be	AUX
globalce-125	76	4	demonstrated	demonstrate	VERB
globalce-125	76	5	that	that	SCONJ
globalce-125	76	6	it	it	PRON
globalce-125	76	7	can	can	AUX
globalce-125	76	8	help	help	VERB
globalce-125	76	9	discriminate	discriminate	VERB
globalce-125	76	10	the	the	DET
globalce-125	76	11	n1	n1	ADJ
globalce-125	76	12	and	and	CCONJ
globalce-125	76	13	n2	n2	ADJ
globalce-125	76	14	stages.7	stages.7	NOUN
globalce-125	76	15	the	the	DET
globalce-125	76	16	algorithm	algorithm	NOUN
globalce-125	76	17	proposed	propose	VERB
globalce-125	77	1	by19	by19	PROPN
globalce-125	77	2	allows	allow	VERB
globalce-125	77	3	estimating	estimate	VERB
globalce-125	77	4	lle	lle	NOUN
globalce-125	77	5	by	by	ADP
globalce-125	77	6	calculating	calculate	VERB
globalce-125	77	7	the	the	DET
globalce-125	77	8	distances	distance	NOUN
globalce-125	77	9	between	between	ADP
globalce-125	77	10	the	the	DET
globalce-125	77	11	most	most	ADV
globalce-125	77	12	similar	similar	ADJ
globalce-125	77	13	trajectories	trajectory	NOUN
globalce-125	77	14	,	,	PUNCT
globalce-125	77	15	which	which	PRON
globalce-125	77	16	are	be	AUX
globalce-125	77	17	also	also	ADV
globalce-125	77	18	distant	distant	ADJ
globalce-125	77	19	in	in	ADP
globalce-125	77	20	the	the	DET
globalce-125	77	21	time	time	NOUN
globalce-125	77	22	domain	domain	NOUN
globalce-125	77	23	.	.	PUNCT
globalce-125	78	1	equation	equation	NOUN
globalce-125	78	2	4	4	NUM
globalce-125	78	3	describes	describe	VERB
globalce-125	78	4	this	this	DET
globalce-125	78	5	distance	distance	NOUN
globalce-125	78	6	,	,	PUNCT
globalce-125	78	7	where	where	SCONJ
globalce-125	78	8	τ	τ	PROPN
globalce-125	78	9	is	be	AUX
globalce-125	78	10	the	the	DET
globalce-125	78	11	threshold	threshold	NOUN
globalce-125	78	12	in	in	ADP
globalce-125	78	13	time	time	NOUN
globalce-125	78	14	domain	domain	NOUN
globalce-125	78	15	and	and	CCONJ
globalce-125	78	16	xi={xi	xi={xi	PROPN
globalce-125	78	17	,	,	PUNCT
globalce-125	78	18	 	 	SPACE
globalce-125	78	19	x(i+j	x(i+j	PROPN
globalce-125	78	20	)	)	PUNCT
globalce-125	78	21	,	,	PUNCT
globalce-125	78	22	 	 	SPACE
globalce-125	78	23	...	...	PUNCT
globalce-125	78	24	,	,	PUNCT
globalce-125	78	25	 	 	SPACE
globalce-125	78	26	x(i+(m-1)j	x(i+(m-1)j	NOUN
globalce-125	78	27	)	)	PUNCT
globalce-125	78	28	}	}	PUNCT
globalce-125	78	29	is	be	AUX
globalce-125	78	30	a	a	DET
globalce-125	78	31	trajectory	trajectory	NOUN
globalce-125	78	32	in	in	ADP
globalce-125	78	33	phase	phase	NOUN
globalce-125	78	34	domain	domain	NOUN
globalce-125	78	35	.	.	PUNCT
globalce-125	79	1	once	once	SCONJ
globalce-125	79	2	the	the	DET
globalce-125	79	3	distances	distance	NOUN
globalce-125	79	4	have	have	AUX
globalce-125	79	5	been	be	AUX
globalce-125	79	6	calculated	calculate	VERB
globalce-125	79	7	,	,	PUNCT
globalce-125	79	8	the	the	DET
globalce-125	79	9	lle	lle	NOUN
globalce-125	79	10	can	can	AUX
globalce-125	79	11	be	be	AUX
globalce-125	79	12	obtained	obtain	VERB
globalce-125	79	13	using	use	VERB
globalce-125	79	14	linear	linear	ADJ
globalce-125	79	15	regression	regression	NOUN
globalce-125	79	16	with	with	ADP
globalce-125	79	17	equation	equation	NOUN
globalce-125	79	18	5	5	NUM
globalce-125	79	19	.	.	PUNCT
globalce-125	80	1	in	in	ADP
globalce-125	80	2	our	our	PRON
globalce-125	80	3	work	work	NOUN
globalce-125	80	4	we	we	PRON
globalce-125	80	5	use	use	VERB
globalce-125	80	6	the	the	DET
globalce-125	80	7	values	value	NOUN
globalce-125	80	8	10	10	NUM
globalce-125	80	9	and	and	CCONJ
globalce-125	80	10	7	7	NUM
globalce-125	80	11	for	for	ADP
globalce-125	80	12	m	m	PROPN
globalce-125	80	13	and	and	CCONJ
globalce-125	80	14	j	j	PROPN
globalce-125	80	15	,	,	PUNCT
globalce-125	80	16	respectively	respectively	ADV
globalce-125	80	17	,	,	PUNCT
globalce-125	80	18	while	while	SCONJ
globalce-125	80	19	τ	τ	PROPN
globalce-125	80	20	is	be	AUX
globalce-125	80	21	the	the	DET
globalce-125	80	22	mean	mean	ADJ
globalce-125	80	23	period	period	NOUN
globalce-125	80	24	of	of	ADP
globalce-125	80	25	the	the	DET
globalce-125	80	26	signal	signal	NOUN
globalce-125	80	27	(	(	PUNCT
globalce-125	80	28	mnf-1	mnf-1	NUM
globalce-125	80	29	)	)	PUNCT
globalce-125	80	30	.	.	PUNCT
globalce-125	81	1	fractal	fractal	PROPN
globalce-125	81	2	dimension	dimension	NOUN
globalce-125	81	3	the	the	DET
globalce-125	81	4	fractal	fractal	ADJ
globalce-125	81	5	dimension	dimension	NOUN
globalce-125	81	6	estimates	estimate	VERB
globalce-125	81	7	the	the	DET
globalce-125	81	8	fractional	fractional	ADJ
globalce-125	81	9	dimensions	dimension	NOUN
globalce-125	81	10	of	of	ADP
globalce-125	81	11	the	the	DET
globalce-125	81	12	geometric	geometric	ADJ
globalce-125	81	13	shape	shape	NOUN
globalce-125	81	14	of	of	ADP
globalce-125	81	15	a	a	DET
globalce-125	81	16	signal	signal	NOUN
globalce-125	81	17	in	in	ADP
globalce-125	81	18	the	the	DET
globalce-125	81	19	time	time	NOUN
globalce-125	81	20	domain.18	domain.18	VERB
globalce-125	81	21	this	this	DET
globalce-125	81	22	measure	measure	NOUN
globalce-125	81	23	is	be	AUX
globalce-125	81	24	especially	especially	ADV
globalce-125	81	25	useful	useful	ADJ
globalce-125	81	26	for	for	ADP
globalce-125	81	27	recognizing	recognize	VERB
globalce-125	81	28	the	the	DET
globalce-125	81	29	n3	n3	NOUN
globalce-125	81	30	stage.7	stage.7	PROPN
globalce-125	81	31	the	the	DET
globalce-125	81	32	higuchi	higuchi	PROPN
globalce-125	81	33	algorithm	algorithm	PROPN
globalce-125	81	34	calculates	calculate	VERB
globalce-125	81	35	the	the	DET
globalce-125	81	36	fractal	fractal	ADJ
globalce-125	81	37	dimension	dimension	NOUN
globalce-125	81	38	as	as	ADP
globalce-125	81	39	the	the	DET
globalce-125	81	40	slope	slope	NOUN
globalce-125	81	41	of	of	ADP
globalce-125	81	42	the	the	DET
globalce-125	81	43	mean	mean	ADJ
globalce-125	81	44	squares	square	NOUN
globalce-125	81	45	fit	fit	ADJ
globalce-125	81	46	of	of	ADP
globalce-125	81	47	the	the	DET
globalce-125	81	48	values	value	NOUN
globalce-125	81	49	of	of	ADP
globalce-125	81	50	log(l(k	log(l(k	NOUN
globalce-125	81	51	)	)	PUNCT
globalce-125	81	52	)	)	PUNCT
globalce-125	81	53	against	against	ADP
globalce-125	81	54	log(1	log(1	NOUN
globalce-125	81	55	/	/	SYM
globalce-125	82	1	k	k	NOUN
globalce-125	82	2	)	)	PUNCT
globalce-125	82	3	for	for	ADP
globalce-125	82	4	k	k	PROPN
globalce-125	82	5	between	between	ADP
globalce-125	82	6	1	1	NUM
globalce-125	82	7	and	and	CCONJ
globalce-125	82	8	kmax	kmax	NOUN
globalce-125	82	9	.	.	PUNCT
globalce-125	83	1	the	the	DET
globalce-125	83	2	values	value	NOUN
globalce-125	83	3	of	of	ADP
globalce-125	83	4	l(k	l(k	PROPN
globalce-125	83	5	)	)	PUNCT
globalce-125	83	6	are	be	AUX
globalce-125	83	7	calculated	calculate	VERB
globalce-125	83	8	using	use	VERB
globalce-125	83	9	the	the	DET
globalce-125	83	10	equation	equation	NOUN
globalce-125	83	11	6	6	NUM
globalce-125	83	12	:	:	PUNCT
globalce-125	83	13	where	where	SCONJ
globalce-125	83	14	lm(k	lm(k	PUNCT
globalce-125	83	15	)	)	PUNCT
globalce-125	83	16	is	be	AUX
globalce-125	83	17	the	the	DET
globalce-125	83	18	mean	mean	ADJ
globalce-125	83	19	length	length	NOUN
globalce-125	83	20	of	of	ADP
globalce-125	83	21	the	the	DET
globalce-125	83	22	sequence	sequence	NOUN
globalce-125	83	23	calculated	calculate	VERB
globalce-125	83	24	with	with	ADP
globalce-125	83	25	equation	equation	NOUN
globalce-125	83	26	7	7	NUM
globalce-125	83	27	:	:	PUNCT
globalce-125	83	28	in	in	ADP
globalce-125	83	29	this	this	DET
globalce-125	83	30	work	work	NOUN
globalce-125	83	31	we	we	PRON
globalce-125	83	32	use	use	VERB
globalce-125	83	33	the	the	DET
globalce-125	83	34	value	value	NOUN
globalce-125	83	35	40	40	NUM
globalce-125	83	36	for	for	ADP
globalce-125	83	37	kmax	kmax	NOUN
globalce-125	83	38	,	,	PUNCT
globalce-125	83	39	that	that	PRON
globalce-125	83	40	was	be	AUX
globalce-125	83	41	estimated	estimate	VERB
globalce-125	83	42	in.18	in.18	ADJ
globalce-125	83	43	discrete	discrete	ADJ
globalce-125	83	44	fourier	fourier	NOUN
globalce-125	83	45	transform	transform	VERB
globalce-125	83	46	the	the	DET
globalce-125	83	47	fast	fast	ADJ
globalce-125	83	48	fourier	fourier	NOUN
globalce-125	83	49	transform	transform	NOUN
globalce-125	83	50	(	(	PUNCT
globalce-125	83	51	fft	fft	PROPN
globalce-125	83	52	)	)	PUNCT
globalce-125	83	53	algorithm	algorithm	NOUN
globalce-125	83	54	efficiently	efficiently	ADV
globalce-125	83	55	estimates	estimate	VERB
globalce-125	83	56	the	the	DET
globalce-125	83	57	frequency	frequency	NOUN
globalce-125	83	58	spectrum	spectrum	NOUN
globalce-125	83	59	.	.	PUNCT
globalce-125	84	1	the	the	DET
globalce-125	84	2	spectrum	spectrum	NOUN
globalce-125	84	3	can	can	AUX
globalce-125	84	4	be	be	AUX
globalce-125	84	5	used	use	VERB
globalce-125	84	6	to	to	PART
globalce-125	84	7	obtain	obtain	VERB
globalce-125	84	8	the	the	DET
globalce-125	84	9	mean	mean	ADJ
globalce-125	84	10	frequency	frequency	NOUN
globalce-125	84	11	of	of	ADP
globalce-125	84	12	the	the	DET
globalce-125	84	13	signal	signal	NOUN
globalce-125	84	14	,	,	PUNCT
globalce-125	84	15	the	the	DET
globalce-125	84	16	spectral	spectral	ADJ
globalce-125	84	17	entropy	entropy	NOUN
globalce-125	84	18	,	,	PUNCT
globalce-125	84	19	and	and	CCONJ
globalce-125	84	20	the	the	DET
globalce-125	84	21	relative	relative	ADJ
globalce-125	84	22	spectral	spectral	ADJ
globalce-125	84	23	density	density	NOUN
globalce-125	84	24	of	of	ADP
globalce-125	84	25	the	the	DET
globalce-125	84	26	relevant	relevant	ADJ
globalce-125	84	27	frequency	frequency	NOUN
globalce-125	84	28	bands	band	NOUN
globalce-125	84	29	(	(	PUNCT
globalce-125	84	30	table	table	NOUN
globalce-125	84	31	1	1	NUM
globalce-125	84	32	)	)	PUNCT
globalce-125	84	33	.	.	PUNCT
globalce-125	85	1	the	the	DET
globalce-125	85	2	mean	mean	ADJ
globalce-125	85	3	frequency	frequency	NOUN
globalce-125	85	4	can	can	AUX
globalce-125	85	5	be	be	AUX
globalce-125	85	6	calculated	calculate	VERB
globalce-125	85	7	using	use	VERB
globalce-125	85	8	equation	equation	NOUN
globalce-125	85	9	8	8	NUM
globalce-125	85	10	:	:	PUNCT
globalce-125	85	11	where	where	SCONJ
globalce-125	85	12	m	m	VERB
globalce-125	85	13	in	in	ADP
globalce-125	85	14	the	the	DET
globalce-125	85	15	amount	amount	NOUN
globalce-125	85	16	of	of	ADP
globalce-125	85	17	frequency	frequency	NOUN
globalce-125	85	18	bins	bin	NOUN
globalce-125	85	19	,	,	PUNCT
globalce-125	85	20	fi	fi	NOUN
globalce-125	85	21	are	be	AUX
globalce-125	85	22	the	the	DET
globalce-125	85	23	frequency	frequency	NOUN
globalce-125	85	24	values	value	NOUN
globalce-125	85	25	and	and	CCONJ
globalce-125	85	26	p	p	NOUN
globalce-125	85	27	is	be	AUX
globalce-125	85	28	the	the	DET
globalce-125	85	29	normalized	normalize	VERB
globalce-125	85	30	spectral	spectral	ADJ
globalce-125	85	31	frequency	frequency	NOUN
globalce-125	85	32	(	(	PUNCT
globalce-125	85	33	∑pi=1).20	∑pi=1).20	PROPN
globalce-125	85	34	similarly	similarly	ADV
globalce-125	85	35	,	,	PUNCT
globalce-125	85	36	the	the	DET
globalce-125	85	37	spectral	spectral	ADJ
globalce-125	85	38	entropy	entropy	NOUN
globalce-125	85	39	of	of	ADP
globalce-125	85	40	a	a	DET
globalce-125	85	41	frequency	frequency	NOUN
globalce-125	85	42	band	band	NOUN
globalce-125	85	43	can	can	AUX
globalce-125	85	44	be	be	AUX
globalce-125	85	45	obtained	obtain	VERB
globalce-125	85	46	from	from	ADP
globalce-125	85	47	equation	equation	NOUN
globalce-125	85	48	9	9	NUM
globalce-125	85	49	:	:	PUNCT
globalce-125	85	50	where	where	SCONJ
globalce-125	85	51	fl	fl	NOUN
globalce-125	85	52	and	and	CCONJ
globalce-125	85	53	fh	fh	PROPN
globalce-125	85	54	are	be	AUX
globalce-125	85	55	the	the	DET
globalce-125	85	56	minimum	minimum	ADJ
globalce-125	85	57	and	and	CCONJ
globalce-125	85	58	maximum	maximum	ADJ
globalce-125	85	59	frequencies	frequency	NOUN
globalce-125	85	60	,	,	PUNCT
globalce-125	85	61	respectively	respectively	ADV
globalce-125	85	62	and	and	CCONJ
globalce-125	85	63	nf	nf	NOUN
globalce-125	85	64	is	be	AUX
globalce-125	85	65	the	the	DET
globalce-125	85	66	amount	amount	NOUN
globalce-125	85	67	of	of	ADP
globalce-125	85	68	frequency	frequency	NOUN
globalce-125	85	69	bins	bin	NOUN
globalce-125	85	70	in	in	ADP
globalce-125	85	71	the	the	DET
globalce-125	85	72	range	range	NOUN
globalce-125	86	1	[	[	X
globalce-125	86	2	fl	fl	NOUN
globalce-125	86	3	,	,	PUNCT
globalce-125	86	4	fh].18	fh].18	ADJ
globalce-125	86	5	high	high	ADJ
globalce-125	86	6	order	order	NOUN
globalce-125	86	7	spectra	spectra	NOUN
globalce-125	86	8	the	the	DET
globalce-125	86	9	high	high	ADJ
globalce-125	86	10	order	order	NOUN
globalce-125	86	11	spectra	spectra	ADJ
globalce-125	86	12	analysis	analysis	NOUN
globalce-125	86	13	can	can	AUX
globalce-125	86	14	extract	extract	VERB
globalce-125	86	15	features	feature	NOUN
globalce-125	86	16	related	relate	VERB
globalce-125	86	17	to	to	ADP
globalce-125	86	18	third	third	ADJ
globalce-125	86	19	-	-	PUNCT
globalce-125	86	20	order	order	NOUN
globalce-125	86	21	statistics	statistic	NOUN
globalce-125	86	22	of	of	ADP
globalce-125	86	23	a	a	DET
globalce-125	86	24	signal.21	signal.21	NOUN
globalce-125	86	25	before	before	ADP
globalce-125	86	26	calculating	calculate	VERB
globalce-125	86	27	the	the	DET
globalce-125	86	28	features	feature	NOUN
globalce-125	86	29	,	,	PUNCT
globalce-125	86	30	the	the	DET
globalce-125	86	31	bispectrum	bispectrum	NOUN
globalce-125	86	32	has	have	VERB
globalce-125	86	33	to	to	PART
globalce-125	86	34	be	be	AUX
globalce-125	86	35	estimated	estimate	VERB
globalce-125	86	36	using	use	VERB
globalce-125	86	37	equation	equation	NOUN
globalce-125	86	38	10	10	NUM
globalce-125	86	39	,	,	PUNCT
globalce-125	86	40	(	(	PUNCT
globalce-125	86	41	3	3	X
globalce-125	86	42	)	)	PUNCT
globalce-125	86	43	(	(	PUNCT
globalce-125	86	44	4	4	NUM
globalce-125	86	45	)	)	PUNCT
globalce-125	86	46	(	(	PUNCT
globalce-125	86	47	5	5	NUM
globalce-125	86	48	)	)	PUNCT
globalce-125	86	49	(	(	PUNCT
globalce-125	86	50	6	6	NUM
globalce-125	86	51	)	)	PUNCT
globalce-125	86	52	(	(	PUNCT
globalce-125	86	53	7	7	NUM
globalce-125	86	54	)	)	PUNCT
globalce-125	86	55	(	(	PUNCT
globalce-125	86	56	8)	8)	NUM
globalce-125	86	57	(	(	PUNCT
globalce-125	86	58	9	9	NUM
globalce-125	86	59	)	)	PUNCT
globalce-125	86	60	j	j	NOUN
globalce-125	86	61	global	global	ADJ
globalce-125	86	62	clinical	clinical	ADJ
globalce-125	86	63	engineering	engineering	NOUN
globalce-125	86	64	vol.5	vol.5	ADJ
globalce-125	86	65	issue	issue	NOUN
globalce-125	86	66	1	1	NUM
globalce-125	86	67	:	:	SYM
globalce-125	86	68	2022	2022	NUM
globalce-125	86	69	12	12	NUM
globalce-125	86	70	labrada	labrada	NOUN
globalce-125	86	71	,	,	PUNCT
globalce-125	86	72	febles	feble	NOUN
globalce-125	86	73	,	,	PUNCT
globalce-125	86	74	antelo	antelo	ADV
globalce-125	86	75	:	:	PUNCT
globalce-125	86	76	comparison	comparison	NOUN
globalce-125	86	77	of	of	ADP
globalce-125	86	78	automatic	automatic	ADJ
globalce-125	86	79	sleep	sleep	NOUN
globalce-125	86	80	stage	stage	NOUN
globalce-125	86	81	classification	classification	NOUN
globalce-125	86	82	methods	method	NOUN
globalce-125	86	83	for	for	ADP
globalce-125	86	84	clinical	clinical	ADJ
globalce-125	86	85	use	use	NOUN
globalce-125	86	86	where	where	SCONJ
globalce-125	86	87	xi	xi	PROPN
globalce-125	86	88	is	be	AUX
globalce-125	86	89	the	the	DET
globalce-125	86	90	short	short	ADJ
globalce-125	86	91	-	-	PUNCT
globalce-125	86	92	time	time	NOUN
globalce-125	86	93	fourier	fourier	NOUN
globalce-125	86	94	transform	transform	NOUN
globalce-125	86	95	(	(	PUNCT
globalce-125	86	96	stft	stft	NOUN
globalce-125	86	97	)	)	PUNCT
globalce-125	86	98	of	of	ADP
globalce-125	86	99	the	the	DET
globalce-125	86	100	signal	signal	NOUN
globalce-125	86	101	on	on	ADP
globalce-125	86	102	the	the	DET
globalce-125	86	103	i	i	PROPN
globalce-125	86	104	-	-	PUNCT
globalce-125	86	105	th	th	X
globalce-125	86	106	window	window	NOUN
globalce-125	86	107	and	and	CCONJ
globalce-125	86	108	w	w	NOUN
globalce-125	86	109	is	be	AUX
globalce-125	86	110	the	the	DET
globalce-125	86	111	number	number	NOUN
globalce-125	86	112	of	of	ADP
globalce-125	86	113	windows	window	NOUN
globalce-125	86	114	.	.	PUNCT
globalce-125	87	1	the	the	DET
globalce-125	87	2	stft	stft	NOUN
globalce-125	87	3	in	in	ADP
globalce-125	87	4	a	a	DET
globalce-125	87	5	vicinity	vicinity	NOUN
globalce-125	87	6	of	of	ADP
globalce-125	87	7	xi	xi	PROPN
globalce-125	87	8	is	be	AUX
globalce-125	87	9	the	the	DET
globalce-125	87	10	fft	fft	NOUN
globalce-125	87	11	of	of	ADP
globalce-125	87	12	the	the	DET
globalce-125	87	13	product	product	NOUN
globalce-125	87	14	of	of	ADP
globalce-125	87	15	the	the	DET
globalce-125	87	16	signal	signal	NOUN
globalce-125	87	17	and	and	CCONJ
globalce-125	87	18	a	a	DET
globalce-125	87	19	window	window	NOUN
globalce-125	87	20	function	function	NOUN
globalce-125	87	21	centered	center	VERB
globalce-125	87	22	on	on	ADP
globalce-125	87	23	xi	xi	PROPN
globalce-125	87	24	.	.	PROPN
globalce-125	87	25	22	22	NUM
globalce-125	87	26	in	in	ADP
globalce-125	87	27	our	our	PRON
globalce-125	87	28	work	work	NOUN
globalce-125	87	29	,	,	PUNCT
globalce-125	87	30	we	we	PRON
globalce-125	87	31	use	use	VERB
globalce-125	87	32	2	2	NUM
globalce-125	87	33	seconds	second	NOUN
globalce-125	87	34	long	long	ADJ
globalce-125	87	35	haan	haan	PROPN
globalce-125	87	36	windows	window	NOUN
globalce-125	87	37	,	,	PUNCT
globalce-125	87	38	with	with	ADP
globalce-125	87	39	1	1	NUM
globalce-125	87	40	second	second	ADJ
globalce-125	87	41	(	(	PUNCT
globalce-125	87	42	50	50	NUM
globalce-125	87	43	%	%	NOUN
globalce-125	87	44	)	)	PUNCT
globalce-125	87	45	of	of	ADP
globalce-125	87	46	overlap	overlap	NOUN
globalce-125	87	47	between	between	ADP
globalce-125	87	48	consecutive	consecutive	ADJ
globalce-125	87	49	windows	window	NOUN
globalce-125	87	50	.	.	PUNCT
globalce-125	88	1	the	the	DET
globalce-125	88	2	bispectrum	bispectrum	NOUN
globalce-125	88	3	is	be	AUX
globalce-125	88	4	symmetric	symmetric	ADJ
globalce-125	88	5	in	in	ADP
globalce-125	88	6	both	both	DET
globalce-125	88	7	axes	axis	NOUN
globalce-125	88	8	,	,	PUNCT
globalce-125	88	9	so	so	CCONJ
globalce-125	88	10	its	its	PRON
globalce-125	88	11	domain	domain	NOUN
globalce-125	88	12	of	of	ADP
globalce-125	88	13	interest	interest	NOUN
globalce-125	88	14	is	be	AUX
globalce-125	88	15	defined	define	VERB
globalce-125	88	16	in	in	ADP
globalce-125	88	17	the	the	DET
globalce-125	88	18	expression	expression	NOUN
globalce-125	88	19	11	11	NUM
globalce-125	88	20	.	.	PUNCT
globalce-125	89	1	once	once	SCONJ
globalce-125	89	2	the	the	DET
globalce-125	89	3	bispectrum	bispectrum	NOUN
globalce-125	89	4	is	be	AUX
globalce-125	89	5	calculated	calculate	VERB
globalce-125	89	6	,	,	PUNCT
globalce-125	89	7	it	it	PRON
globalce-125	89	8	is	be	AUX
globalce-125	89	9	possible	possible	ADJ
globalce-125	89	10	to	to	PART
globalce-125	89	11	calculate	calculate	VERB
globalce-125	89	12	its	its	PRON
globalce-125	89	13	mean	mean	ADJ
globalce-125	89	14	amplitude	amplitude	NOUN
globalce-125	89	15	,	,	PUNCT
globalce-125	89	16	the	the	DET
globalce-125	89	17	normalized	normalize	VERB
globalce-125	89	18	bispectral	bispectral	ADJ
globalce-125	89	19	entropy	entropy	NOUN
globalce-125	89	20	(	(	PUNCT
globalce-125	89	21	equation	equation	NOUN
globalce-125	89	22	12	12	NUM
globalce-125	89	23	)	)	PUNCT
globalce-125	89	24	,	,	PUNCT
globalce-125	89	25	its	its	PRON
globalce-125	89	26	logarithmic	logarithmic	ADJ
globalce-125	89	27	sum	sum	NOUN
globalce-125	89	28	(	(	PUNCT
globalce-125	89	29	equation	equation	NOUN
globalce-125	89	30	13	13	NUM
globalce-125	89	31	)	)	PUNCT
globalce-125	89	32	and	and	CCONJ
globalce-125	89	33	its	its	PRON
globalce-125	89	34	mean	mean	ADJ
globalce-125	89	35	frequency	frequency	NOUN
globalce-125	89	36	(	(	PUNCT
globalce-125	89	37	equation	equation	NOUN
globalce-125	89	38	14	14	NUM
globalce-125	89	39	):	):	PUNCT
globalce-125	89	40	wavelet	wavelet	NOUN
globalce-125	89	41	transform	transform	VERB
globalce-125	89	42	the	the	DET
globalce-125	89	43	wavelet	wavelet	NOUN
globalce-125	89	44	transforms	transform	VERB
globalce-125	89	45	translate	translate	VERB
globalce-125	89	46	a	a	DET
globalce-125	89	47	signal	signal	NOUN
globalce-125	89	48	into	into	ADP
globalce-125	89	49	the	the	DET
globalce-125	89	50	time	time	NOUN
globalce-125	89	51	-	-	PUNCT
globalce-125	89	52	frequency	frequency	NOUN
globalce-125	89	53	domain	domain	NOUN
globalce-125	89	54	.	.	PUNCT
globalce-125	90	1	the	the	DET
globalce-125	90	2	transformation	transformation	NOUN
globalce-125	90	3	approximates	approximate	VERB
globalce-125	90	4	the	the	DET
globalce-125	90	5	signal	signal	NOUN
globalce-125	90	6	inside	inside	ADP
globalce-125	90	7	a	a	DET
globalce-125	90	8	time	time	NOUN
globalce-125	90	9	window	window	NOUN
globalce-125	90	10	by	by	ADP
globalce-125	90	11	a	a	DET
globalce-125	90	12	wavelet	wavelet	NOUN
globalce-125	90	13	base	base	NOUN
globalce-125	90	14	(	(	PUNCT
globalce-125	90	15	ψ	ψ	NOUN
globalce-125	90	16	)	)	PUNCT
globalce-125	90	17	using	use	VERB
globalce-125	90	18	different	different	ADJ
globalce-125	90	19	time	time	NOUN
globalce-125	90	20	scales.22	scales.22	NOUN
globalce-125	90	21	the	the	DET
globalce-125	90	22	scale	scale	NOUN
globalce-125	90	23	factors	factor	NOUN
globalce-125	90	24	are	be	AUX
globalce-125	90	25	inversely	inversely	ADV
globalce-125	90	26	proportional	proportional	ADJ
globalce-125	90	27	to	to	ADP
globalce-125	90	28	the	the	DET
globalce-125	90	29	frequency	frequency	NOUN
globalce-125	90	30	of	of	ADP
globalce-125	90	31	the	the	DET
globalce-125	90	32	wavelet	wavelet	NOUN
globalce-125	90	33	base	base	NOUN
globalce-125	90	34	,	,	PUNCT
globalce-125	90	35	as	as	SCONJ
globalce-125	90	36	stated	state	VERB
globalce-125	90	37	in	in	ADP
globalce-125	90	38	equation	equation	NOUN
globalce-125	90	39	15	15	NUM
globalce-125	90	40	,	,	PUNCT
globalce-125	90	41	where	where	SCONJ
globalce-125	90	42	ts	ts	ADV
globalce-125	90	43	is	be	AUX
globalce-125	90	44	the	the	DET
globalce-125	90	45	sampling	sampling	NOUN
globalce-125	90	46	period	period	NOUN
globalce-125	90	47	and	and	CCONJ
globalce-125	90	48	fψ	fψ	NOUN
globalce-125	90	49	is	be	AUX
globalce-125	90	50	the	the	DET
globalce-125	90	51	mean	mean	ADJ
globalce-125	90	52	frequency	frequency	NOUN
globalce-125	90	53	of	of	ADP
globalce-125	90	54	the	the	DET
globalce-125	90	55	wavelet	wavelet	NOUN
globalce-125	90	56	base	base	NOUN
globalce-125	90	57	(	(	PUNCT
globalce-125	90	58	3	3	NUM
globalce-125	90	59	)	)	PUNCT
globalce-125	90	60	.	.	PUNCT
globalce-125	91	1	the	the	DET
globalce-125	91	2	dwt	dwt	NOUN
globalce-125	91	3	decomposes	decompose	VERB
globalce-125	91	4	the	the	DET
globalce-125	91	5	signal	signal	NOUN
globalce-125	91	6	in	in	ADP
globalce-125	91	7	two	two	NUM
globalce-125	91	8	coefficient	coefficient	NOUN
globalce-125	91	9	vectors	vector	NOUN
globalce-125	91	10	with	with	ADP
globalce-125	91	11	n/2	n/2	NOUN
globalce-125	91	12	values	value	NOUN
globalce-125	91	13	,	,	PUNCT
globalce-125	91	14	satisfying	satisfy	VERB
globalce-125	91	15	where	where	SCONJ
globalce-125	91	16	hψ	hψ	PRON
globalce-125	91	17	and	and	CCONJ
globalce-125	91	18	gψ	gψ	NOUN
globalce-125	91	19	are	be	AUX
globalce-125	91	20	dual	dual	ADJ
globalce-125	91	21	filters	filter	NOUN
globalce-125	91	22	with	with	ADP
globalce-125	91	23	sub	sub	ADJ
globalce-125	91	24	-	-	ADJ
globalce-125	91	25	sampling	sample	VERB
globalce-125	91	26	,	,	PUNCT
globalce-125	91	27	related	relate	VERB
globalce-125	91	28	to	to	ADP
globalce-125	91	29	the	the	DET
globalce-125	91	30	wavelet	wavelet	NOUN
globalce-125	91	31	base.22	base.22	VERB
globalce-125	91	32	the	the	DET
globalce-125	91	33	a1	a1	NOUN
globalce-125	91	34	vector	vector	NOUN
globalce-125	91	35	contains	contain	VERB
globalce-125	91	36	an	an	DET
globalce-125	91	37	approximation	approximation	NOUN
globalce-125	91	38	of	of	ADP
globalce-125	91	39	the	the	DET
globalce-125	91	40	original	original	ADJ
globalce-125	91	41	signal	signal	NOUN
globalce-125	91	42	in	in	ADP
globalce-125	91	43	the	the	DET
globalce-125	91	44	frequency	frequency	NOUN
globalce-125	91	45	range	range	NOUN
globalce-125	92	1	[	[	X
globalce-125	92	2	0,1/4	0,1/4	X
globalce-125	92	3	fs	fs	X
globalce-125	92	4	]	]	X
globalce-125	92	5	,	,	PUNCT
globalce-125	92	6	while	while	SCONJ
globalce-125	92	7	d1	d1	PROPN
globalce-125	92	8	is	be	AUX
globalce-125	92	9	a	a	DET
globalce-125	92	10	detail	detail	NOUN
globalce-125	92	11	vector	vector	NOUN
globalce-125	92	12	in	in	ADP
globalce-125	92	13	the	the	DET
globalce-125	92	14	frequency	frequency	NOUN
globalce-125	92	15	range	range	NOUN
globalce-125	93	1	[	[	X
globalce-125	93	2	1/4	1/4	NUM
globalce-125	93	3	fs,1/2	fs,1/2	NOUN
globalce-125	93	4	fs	fs	X
globalce-125	93	5	]	]	PUNCT
globalce-125	93	6	,	,	PUNCT
globalce-125	93	7	where	where	SCONJ
globalce-125	93	8	fs	fs	PROPN
globalce-125	93	9	is	be	AUX
globalce-125	93	10	the	the	DET
globalce-125	93	11	sampling	sample	VERB
globalce-125	93	12	frequency.10	frequency.10	NOUN
globalce-125	93	13	the	the	DET
globalce-125	93	14	dwt	dwt	NOUN
globalce-125	93	15	can	can	AUX
globalce-125	93	16	be	be	AUX
globalce-125	93	17	computed	compute	VERB
globalce-125	93	18	again	again	ADV
globalce-125	93	19	from	from	ADP
globalce-125	93	20	vector	vector	NOUN
globalce-125	93	21	a1	a1	NOUN
globalce-125	93	22	,	,	PUNCT
globalce-125	93	23	in	in	ADP
globalce-125	93	24	order	order	NOUN
globalce-125	93	25	to	to	PART
globalce-125	93	26	obtain	obtain	VERB
globalce-125	93	27	the	the	DET
globalce-125	93	28	vectors	vector	NOUN
globalce-125	93	29	a2	a2	PROPN
globalce-125	93	30	and	and	CCONJ
globalce-125	93	31	d2	d2	PROPN
globalce-125	93	32	with	with	ADP
globalce-125	93	33	frequency	frequency	NOUN
globalce-125	93	34	ranges	range	NOUN
globalce-125	94	1	[	[	X
globalce-125	94	2	0,1/8	0,1/8	NOUN
globalce-125	94	3	fs	fs	X
globalce-125	94	4	]	]	PUNCT
globalce-125	94	5	and	and	CCONJ
globalce-125	94	6	[	[	X
globalce-125	94	7	1/8	1/8	NUM
globalce-125	94	8	fs,1/4	fs,1/4	NOUN
globalce-125	94	9	fs	fs	X
globalce-125	94	10	]	]	PUNCT
globalce-125	94	11	,	,	PUNCT
globalce-125	94	12	respectively	respectively	ADV
globalce-125	94	13	.	.	PUNCT
globalce-125	95	1	thus	thus	ADV
globalce-125	95	2	,	,	PUNCT
globalce-125	95	3	successively	successively	ADV
globalce-125	95	4	,	,	PUNCT
globalce-125	95	5	the	the	DET
globalce-125	95	6	signal	signal	NOUN
globalce-125	95	7	can	can	AUX
globalce-125	95	8	be	be	AUX
globalce-125	95	9	decomposed	decompose	VERB
globalce-125	95	10	in	in	ADP
globalce-125	95	11	l	l	NOUN
globalce-125	95	12	levels	level	NOUN
globalce-125	95	13	,	,	PUNCT
globalce-125	95	14	after	after	ADP
globalce-125	95	15	which	which	PRON
globalce-125	95	16	the	the	DET
globalce-125	95	17	vectors	vector	NOUN
globalce-125	95	18	d1,d2,	d1,d2,	PROPN
globalce-125	95	19	...	...	PUNCT
globalce-125	95	20	,dl	,dl	PROPN
globalce-125	95	21	,	,	PUNCT
globalce-125	95	22	al	al	PROPN
globalce-125	95	23	belong	belong	VERB
globalce-125	95	24	to	to	ADP
globalce-125	95	25	different	different	ADJ
globalce-125	95	26	frequency	frequency	NOUN
globalce-125	95	27	bands	band	NOUN
globalce-125	95	28	.	.	PUNCT
globalce-125	96	1	the	the	DET
globalce-125	96	2	entropy	entropy	NOUN
globalce-125	96	3	of	of	ADP
globalce-125	96	4	each	each	DET
globalce-125	96	5	relevant	relevant	ADJ
globalce-125	96	6	frequency	frequency	NOUN
globalce-125	96	7	band	band	NOUN
globalce-125	96	8	(	(	PUNCT
globalce-125	96	9	table	table	NOUN
globalce-125	96	10	1	1	NUM
globalce-125	96	11	)	)	PUNCT
globalce-125	96	12	along	along	ADP
globalce-125	96	13	the	the	DET
globalce-125	96	14	epoch	epoch	NOUN
globalce-125	96	15	in	in	ADP
globalce-125	96	16	question	question	NOUN
globalce-125	96	17	can	can	AUX
globalce-125	96	18	be	be	AUX
globalce-125	96	19	calculated	calculate	VERB
globalce-125	96	20	from	from	ADP
globalce-125	96	21	the	the	DET
globalce-125	96	22	transform	transform	NOUN
globalce-125	96	23	.	.	PUNCT
globalce-125	97	1	we	we	PRON
globalce-125	97	2	use	use	VERB
globalce-125	97	3	the	the	DET
globalce-125	97	4	daubechies	daubechie	NOUN
globalce-125	97	5	function	function	VERB
globalce-125	97	6	(	(	PUNCT
globalce-125	97	7	db1	db1	NOUN
globalce-125	97	8	)	)	PUNCT
globalce-125	97	9	as	as	ADP
globalce-125	97	10	the	the	DET
globalce-125	97	11	wavelet	wavelet	NOUN
globalce-125	97	12	base	base	NOUN
globalce-125	97	13	for	for	ADP
globalce-125	97	14	the	the	DET
globalce-125	97	15	eog	eog	PROPN
globalce-125	97	16	signals	signal	NOUN
globalce-125	97	17	and	and	CCONJ
globalce-125	97	18	the	the	DET
globalce-125	97	19	reverse	reverse	ADJ
globalce-125	97	20	biorthogonal	biorthogonal	ADJ
globalce-125	97	21	function	function	NOUN
globalce-125	97	22	(	(	PUNCT
globalce-125	97	23	rbio3.3	rbio3.3	ADJ
globalce-125	97	24	)	)	PUNCT
globalce-125	97	25	for	for	ADP
globalce-125	97	26	the	the	DET
globalce-125	97	27	eeg	eeg	NOUN
globalce-125	97	28	signals	signal	NOUN
globalce-125	97	29	.	.	PUNCT
globalce-125	98	1	given	give	VERB
globalce-125	98	2	the	the	DET
globalce-125	98	3	100	100	NUM
globalce-125	98	4	hz	hz	VERB
globalce-125	98	5	sampling	sample	VERB
globalce-125	98	6	frequency	frequency	NOUN
globalce-125	98	7	of	of	ADP
globalce-125	98	8	the	the	DET
globalce-125	98	9	signals	signal	NOUN
globalce-125	98	10	,	,	PUNCT
globalce-125	98	11	once	once	SCONJ
globalce-125	98	12	they	they	PRON
globalce-125	98	13	are	be	AUX
globalce-125	98	14	decomposed	decompose	VERB
globalce-125	98	15	into	into	ADP
globalce-125	98	16	5	5	NUM
globalce-125	98	17	levels	level	NOUN
globalce-125	98	18	,	,	PUNCT
globalce-125	98	19	the	the	DET
globalce-125	98	20	frequencies	frequency	NOUN
globalce-125	98	21	of	of	ADP
globalce-125	98	22	the	the	DET
globalce-125	98	23	coefficient	coefficient	NOUN
globalce-125	98	24	vectors	vector	NOUN
globalce-125	98	25	approximately	approximately	ADV
globalce-125	98	26	match	match	VERB
globalce-125	98	27	the	the	DET
globalce-125	98	28	frequency	frequency	NOUN
globalce-125	98	29	bands	band	NOUN
globalce-125	98	30	in	in	ADP
globalce-125	98	31	table	table	NOUN
globalce-125	98	32	1	1	NUM
globalce-125	98	33	.	.	PUNCT
globalce-125	99	1	classification	classification	VERB
globalce-125	99	2	the	the	DET
globalce-125	99	3	classification	classification	NOUN
globalce-125	99	4	phase	phase	NOUN
globalce-125	99	5	is	be	AUX
globalce-125	99	6	responsible	responsible	ADJ
globalce-125	99	7	for	for	ADP
globalce-125	99	8	assigning	assign	VERB
globalce-125	99	9	a	a	DET
globalce-125	99	10	sleep	sleep	NOUN
globalce-125	99	11	stage	stage	NOUN
globalce-125	99	12	to	to	ADP
globalce-125	99	13	each	each	DET
globalce-125	99	14	epoch	epoch	NOUN
globalce-125	99	15	contingent	contingent	NOUN
globalce-125	99	16	on	on	ADP
globalce-125	99	17	the	the	DET
globalce-125	99	18	features	feature	NOUN
globalce-125	99	19	extracted	extract	VERB
globalce-125	99	20	from	from	ADP
globalce-125	99	21	it	it	PRON
globalce-125	99	22	.	.	PUNCT
globalce-125	100	1	in	in	ADP
globalce-125	100	2	our	our	PRON
globalce-125	100	3	work	work	NOUN
globalce-125	100	4	,	,	PUNCT
globalce-125	100	5	we	we	PRON
globalce-125	100	6	use	use	VERB
globalce-125	100	7	classifiers	classifier	NOUN
globalce-125	100	8	based	base	VERB
globalce-125	100	9	on	on	ADP
globalce-125	100	10	linear	linear	ADJ
globalce-125	100	11	discriminate	discriminate	VERB
globalce-125	100	12	analysis,3	analysis,3	NOUN
globalce-125	100	13	svms,23	svms,23	PROPN
globalce-125	100	14	rf,23,24	rf,23,24	PROPN
globalce-125	100	15	ann	ann	PROPN
globalce-125	100	16	,	,	PUNCT
globalce-125	100	17	and	and	CCONJ
globalce-125	100	18	nb.23	nb.23	PROPN
globalce-125	100	19	several	several	ADJ
globalce-125	100	20	kinds	kind	NOUN
globalce-125	100	21	of	of	ADP
globalce-125	100	22	neural	neural	ADJ
globalce-125	100	23	networks	network	NOUN
globalce-125	100	24	have	have	AUX
globalce-125	100	25	been	be	AUX
globalce-125	100	26	analyzed	analyze	VERB
globalce-125	100	27	,	,	PUNCT
globalce-125	100	28	including	include	VERB
globalce-125	100	29	multilayer	multilayer	ADJ
globalce-125	100	30	perceptrons	perceptron	NOUN
globalce-125	100	31	(	(	PUNCT
globalce-125	100	32	mlp),10,25	mlp),10,25	PROPN
globalce-125	100	33	cnn	cnn	PROPN
globalce-125	100	34	,	,	PUNCT
globalce-125	100	35	and	and	CCONJ
globalce-125	100	36	rnn	rnn	PROPN
globalce-125	100	37	.	.	PUNCT
globalce-125	101	1	specifically	specifically	ADV
globalce-125	101	2	,	,	PUNCT
globalce-125	101	3	we	we	PRON
globalce-125	101	4	have	have	AUX
globalce-125	101	5	tested	test	VERB
globalce-125	101	6	the	the	DET
globalce-125	101	7	networks	network	NOUN
globalce-125	101	8	deepfeaturenet	deepfeaturenet	PROPN
globalce-125	101	9	(	(	PUNCT
globalce-125	101	10	dfn	dfn	NOUN
globalce-125	101	11	)	)	PUNCT
globalce-125	101	12	and	and	CCONJ
globalce-125	101	13	deepsleepnet	deepsleepnet	NOUN
globalce-125	101	14	(	(	PUNCT
globalce-125	101	15	dsn),14	dsn),14	ADV
globalce-125	101	16	implemented	implement	VERB
globalce-125	101	17	on	on	ADP
globalce-125	101	18	python	python	NOUN
globalce-125	101	19	using	use	VERB
globalce-125	101	20	tensorflow	tensorflow	NOUN
globalce-125	101	21	.	.	PUNCT
globalce-125	102	1	the	the	DET
globalce-125	102	2	former	former	ADJ
globalce-125	102	3	is	be	AUX
globalce-125	102	4	a	a	DET
globalce-125	102	5	cnn	cnn	NOUN
globalce-125	102	6	,	,	PUNCT
globalce-125	102	7	while	while	SCONJ
globalce-125	102	8	the	the	DET
globalce-125	102	9	latter	latter	NOUN
globalce-125	102	10	is	be	AUX
globalce-125	102	11	a	a	DET
globalce-125	102	12	hybrid	hybrid	ADJ
globalce-125	102	13	network	network	NOUN
globalce-125	102	14	combining	combine	VERB
globalce-125	102	15	a	a	DET
globalce-125	102	16	cnn	cnn	NOUN
globalce-125	102	17	and	and	CCONJ
globalce-125	102	18	an	an	DET
globalce-125	102	19	rnn	rnn	NOUN
globalce-125	102	20	.	.	PUNCT
globalce-125	103	1	both	both	DET
globalce-125	103	2	algorithms	algorithm	NOUN
globalce-125	103	3	use	use	VERB
globalce-125	103	4	cnn	cnn	PROPN
globalce-125	103	5	for	for	ADP
globalce-125	103	6	feature	feature	NOUN
globalce-125	103	7	extraction	extraction	NOUN
globalce-125	103	8	,	,	PUNCT
globalce-125	103	9	so	so	SCONJ
globalce-125	103	10	they	they	PRON
globalce-125	103	11	do	do	AUX
globalce-125	103	12	not	not	PART
globalce-125	103	13	require	require	VERB
globalce-125	103	14	the	the	DET
globalce-125	103	15	methods	method	NOUN
globalce-125	103	16	described	describe	VERB
globalce-125	103	17	in	in	ADP
globalce-125	103	18	section	section	NOUN
globalce-125	103	19	feature	feature	NOUN
globalce-125	103	20	extraction	extraction	NOUN
globalce-125	103	21	.	.	PUNCT
globalce-125	104	1	the	the	DET
globalce-125	104	2	implementation	implementation	NOUN
globalce-125	104	3	proposed	propose	VERB
globalce-125	104	4	for	for	ADP
globalce-125	104	5	a	a	DET
globalce-125	104	6	single	single	ADJ
globalce-125	104	7	signal	signal	NOUN
globalce-125	104	8	has	have	AUX
globalce-125	104	9	been	be	AUX
globalce-125	104	10	expanded	expand	VERB
globalce-125	104	11	to	to	PART
globalce-125	104	12	process	process	VERB
globalce-125	104	13	the	the	DET
globalce-125	104	14	eog	eog	PROPN
globalce-125	104	15	,	,	PUNCT
globalce-125	104	16	emg	emg	NOUN
globalce-125	104	17	,	,	PUNCT
globalce-125	104	18	and	and	CCONJ
globalce-125	104	19	eeg	eeg	PROPN
globalce-125	104	20	signals.14	signals.14	PROPN
globalce-125	104	21	this	this	PRON
globalce-125	104	22	was	be	AUX
globalce-125	104	23	achieved	achieve	VERB
globalce-125	104	24	by	by	ADP
globalce-125	104	25	taking	take	VERB
globalce-125	104	26	advantage	advantage	NOUN
globalce-125	104	27	of	of	ADP
globalce-125	104	28	the	the	DET
globalce-125	104	29	(	(	PUNCT
globalce-125	104	30	10	10	NUM
globalce-125	104	31	)	)	PUNCT
globalce-125	104	32	(	(	PUNCT
globalce-125	104	33	11	11	NUM
globalce-125	104	34	)	)	PUNCT
globalce-125	104	35	(	(	PUNCT
globalce-125	104	36	12	12	NUM
globalce-125	104	37	)	)	PUNCT
globalce-125	104	38	(	(	PUNCT
globalce-125	104	39	13	13	NUM
globalce-125	104	40	)	)	PUNCT
globalce-125	104	41	(	(	PUNCT
globalce-125	104	42	14	14	NUM
globalce-125	104	43	)	)	PUNCT
globalce-125	104	44	(	(	PUNCT
globalce-125	104	45	15	15	NUM
globalce-125	104	46	)	)	PUNCT
globalce-125	104	47	(	(	PUNCT
globalce-125	104	48	16	16	NUM
globalce-125	104	49	)	)	PUNCT
globalce-125	104	50	13	13	NUM
globalce-125	104	51	j	j	PROPN
globalce-125	104	52	global	global	ADJ
globalce-125	104	53	clinical	clinical	ADJ
globalce-125	104	54	engineering	engineering	NOUN
globalce-125	104	55	vol.5	vol.5	ADJ
globalce-125	104	56	issue	issue	NOUN
globalce-125	104	57	1	1	NUM
globalce-125	104	58	:	:	SYM
globalce-125	104	59	2022	2022	NUM
globalce-125	104	60	labrada	labrada	NOUN
globalce-125	104	61	,	,	PUNCT
globalce-125	104	62	febles	feble	NOUN
globalce-125	104	63	,	,	PUNCT
globalce-125	104	64	antelo	antelo	ADV
globalce-125	104	65	:	:	PUNCT
globalce-125	104	66	comparison	comparison	NOUN
globalce-125	104	67	of	of	ADP
globalce-125	104	68	automatic	automatic	ADJ
globalce-125	104	69	sleep	sleep	NOUN
globalce-125	104	70	stage	stage	NOUN
globalce-125	104	71	classification	classification	NOUN
globalce-125	104	72	methods	method	NOUN
globalce-125	104	73	for	for	ADP
globalce-125	104	74	clinical	clinical	ADJ
globalce-125	104	75	use	use	NOUN
globalce-125	104	76	capacity	capacity	NOUN
globalce-125	104	77	of	of	ADP
globalce-125	104	78	cnn	cnn	PROPN
globalce-125	104	79	layers	layer	NOUN
globalce-125	104	80	to	to	PART
globalce-125	104	81	process	process	VERB
globalce-125	104	82	several	several	ADJ
globalce-125	104	83	input	input	NOUN
globalce-125	104	84	channels	channel	NOUN
globalce-125	104	85	and	and	CCONJ
globalce-125	104	86	by	by	ADP
globalce-125	104	87	increasing	increase	VERB
globalce-125	104	88	the	the	DET
globalce-125	104	89	size	size	NOUN
globalce-125	104	90	of	of	ADP
globalce-125	104	91	the	the	DET
globalce-125	104	92	filters	filter	NOUN
globalce-125	104	93	proportionally	proportionally	ADV
globalce-125	104	94	to	to	ADP
globalce-125	104	95	the	the	DET
globalce-125	104	96	number	number	NOUN
globalce-125	104	97	of	of	ADP
globalce-125	104	98	channels	channel	NOUN
globalce-125	104	99	.	.	PUNCT
globalce-125	105	1	the	the	DET
globalce-125	105	2	dfn	dfn	NOUN
globalce-125	105	3	network	network	NOUN
globalce-125	105	4	has	have	AUX
globalce-125	105	5	been	be	AUX
globalce-125	105	6	trained	train	VERB
globalce-125	105	7	with	with	ADP
globalce-125	105	8	75	75	NUM
globalce-125	105	9	epochs	epoch	NOUN
globalce-125	105	10	,	,	PUNCT
globalce-125	105	11	while	while	SCONJ
globalce-125	105	12	dsn	dsn	PROPN
globalce-125	105	13	has	have	AUX
globalce-125	105	14	required	require	VERB
globalce-125	105	15	25	25	NUM
globalce-125	105	16	more	more	ADJ
globalce-125	105	17	in	in	ADP
globalce-125	105	18	fine	fine	ADV
globalce-125	105	19	-	-	PUNCT
globalce-125	105	20	tuning	tuning	NOUN
globalce-125	105	21	.	.	PUNCT
globalce-125	106	1	the	the	DET
globalce-125	106	2	source	source	NOUN
globalce-125	106	3	code	code	NOUN
globalce-125	106	4	is	be	AUX
globalce-125	106	5	available	available	ADJ
globalce-125	106	6	at	at	ADP
globalce-125	106	7	https://	https://	PROPN
globalce-125	106	8	github.com/alabrada/deepsleepnet	github.com/alabrada/deepsleepnet	PROPN
globalce-125	106	9	.	.	PUNCT
globalce-125	107	1	for	for	ADP
globalce-125	107	2	the	the	DET
globalce-125	107	3	remaining	remain	VERB
globalce-125	107	4	classifiers	classifier	NOUN
globalce-125	107	5	,	,	PUNCT
globalce-125	107	6	it	it	PRON
globalce-125	107	7	has	have	AUX
globalce-125	107	8	been	be	AUX
globalce-125	107	9	used	use	VERB
globalce-125	107	10	the	the	DET
globalce-125	107	11	implementations	implementation	NOUN
globalce-125	107	12	available	available	ADJ
globalce-125	107	13	in	in	ADP
globalce-125	107	14	weka	weka	PROPN
globalce-125	107	15	,	,	PUNCT
globalce-125	107	16	using	use	VERB
globalce-125	107	17	their	their	PRON
globalce-125	107	18	respective	respective	ADJ
globalce-125	107	19	default	default	NOUN
globalce-125	107	20	parameters	parameter	NOUN
globalce-125	107	21	.	.	PUNCT
globalce-125	108	1	evaluation	evaluation	NOUN
globalce-125	108	2	the	the	DET
globalce-125	108	3	performance	performance	NOUN
globalce-125	108	4	of	of	ADP
globalce-125	108	5	each	each	DET
globalce-125	108	6	algorithm	algorithm	NOUN
globalce-125	108	7	has	have	AUX
globalce-125	108	8	been	be	AUX
globalce-125	108	9	analyzed	analyze	VERB
globalce-125	108	10	,	,	PUNCT
globalce-125	108	11	considering	consider	VERB
globalce-125	108	12	the	the	DET
globalce-125	108	13	accuracy	accuracy	NOUN
globalce-125	108	14	(	(	PUNCT
globalce-125	108	15	acc	acc	PROPN
globalce-125	108	16	)	)	PUNCT
globalce-125	108	17	and	and	CCONJ
globalce-125	108	18	cohen	cohen	PROPN
globalce-125	108	19	’s	’s	PART
globalce-125	108	20	kappa	kappa	PROPN
globalce-125	108	21	coefficient	coefficient	PROPN
globalce-125	108	22	.	.	PUNCT
globalce-125	109	1	additionally	additionally	ADV
globalce-125	109	2	,	,	PUNCT
globalce-125	109	3	the	the	DET
globalce-125	109	4	classification	classification	NOUN
globalce-125	109	5	performance	performance	NOUN
globalce-125	109	6	of	of	ADP
globalce-125	109	7	the	the	DET
globalce-125	109	8	individual	individual	ADJ
globalce-125	109	9	stages	stage	NOUN
globalce-125	109	10	is	be	AUX
globalce-125	109	11	considered	consider	VERB
globalce-125	109	12	using	use	VERB
globalce-125	109	13	the	the	DET
globalce-125	109	14	precision	precision	NOUN
globalce-125	109	15	(	(	PUNCT
globalce-125	109	16	pr	pr	NOUN
globalce-125	109	17	)	)	PUNCT
globalce-125	109	18	and	and	CCONJ
globalce-125	109	19	recall	recall	NOUN
globalce-125	109	20	(	(	PUNCT
globalce-125	109	21	re	re	NOUN
globalce-125	109	22	)	)	PUNCT
globalce-125	109	23	metrics	metric	NOUN
globalce-125	109	24	.	.	PUNCT
globalce-125	110	1	results	result	VERB
globalce-125	110	2	the	the	DET
globalce-125	110	3	classification	classification	NOUN
globalce-125	110	4	algorithms	algorithm	NOUN
globalce-125	110	5	have	have	AUX
globalce-125	110	6	been	be	AUX
globalce-125	110	7	trained	train	VERB
globalce-125	110	8	with	with	ADP
globalce-125	110	9	the	the	DET
globalce-125	110	10	first	first	ADJ
globalce-125	110	11	half	half	NOUN
globalce-125	110	12	of	of	ADP
globalce-125	110	13	the	the	DET
globalce-125	110	14	psg	psg	PROPN
globalce-125	110	15	records	record	NOUN
globalce-125	110	16	of	of	ADP
globalce-125	110	17	the	the	DET
globalce-125	110	18	sleep	sleep	NOUN
globalce-125	110	19	cassette	cassette	NOUN
globalce-125	110	20	dataset	dataset	NOUN
globalce-125	110	21	.	.	PUNCT
globalce-125	111	1	the	the	DET
globalce-125	111	2	set	set	NOUN
globalce-125	111	3	has	have	VERB
globalce-125	111	4	76	76	NUM
globalce-125	111	5	records	record	NOUN
globalce-125	111	6	that	that	PRON
globalce-125	111	7	belong	belong	VERB
globalce-125	111	8	to	to	ADP
globalce-125	111	9	39	39	NUM
globalce-125	111	10	different	different	ADJ
globalce-125	111	11	subjects	subject	NOUN
globalce-125	111	12	with	with	ADP
globalce-125	111	13	identifiers	identifier	NOUN
globalce-125	111	14	00	00	PUNCT
globalce-125	111	15	through	through	ADP
globalce-125	111	16	38	38	NUM
globalce-125	111	17	.	.	PUNCT
globalce-125	111	18	table	table	NOUN
globalce-125	111	19	2	2	NUM
globalce-125	111	20	shows	show	VERB
globalce-125	111	21	the	the	DET
globalce-125	111	22	distribution	distribution	NOUN
globalce-125	111	23	of	of	ADP
globalce-125	111	24	the	the	DET
globalce-125	111	25	stages	stage	NOUN
globalce-125	111	26	assigned	assign	VERB
globalce-125	111	27	by	by	ADP
globalce-125	111	28	the	the	DET
globalce-125	111	29	experts	expert	NOUN
globalce-125	111	30	to	to	ADP
globalce-125	111	31	the	the	DET
globalce-125	111	32	74354	74354	NUM
globalce-125	111	33	epochs	epoch	NOUN
globalce-125	111	34	that	that	PRON
globalce-125	111	35	have	have	AUX
globalce-125	111	36	been	be	AUX
globalce-125	111	37	used	use	VERB
globalce-125	111	38	from	from	ADP
globalce-125	111	39	those	those	DET
globalce-125	111	40	records	record	NOUN
globalce-125	111	41	.	.	PUNCT
globalce-125	112	1	the	the	DET
globalce-125	112	2	10	10	NUM
globalce-125	112	3	-	-	ADJ
globalce-125	112	4	fold	fold	ADJ
globalce-125	112	5	cross	cross	ADJ
globalce-125	112	6	-	-	ADJ
globalce-125	112	7	validation	validation	ADJ
globalce-125	112	8	technique	technique	NOUN
globalce-125	112	9	has	have	AUX
globalce-125	112	10	been	be	AUX
globalce-125	112	11	used	use	VERB
globalce-125	112	12	to	to	PART
globalce-125	112	13	estimate	estimate	VERB
globalce-125	112	14	the	the	DET
globalce-125	112	15	hyper	hyper	NOUN
globalce-125	112	16	-	-	NOUN
globalce-125	112	17	parameters	parameter	NOUN
globalce-125	112	18	of	of	ADP
globalce-125	112	19	the	the	DET
globalce-125	112	20	models	model	NOUN
globalce-125	112	21	and	and	CCONJ
globalce-125	112	22	the	the	DET
globalce-125	112	23	validation	validation	NOUN
globalce-125	112	24	error	error	NOUN
globalce-125	112	25	.	.	PUNCT
globalce-125	113	1	table	table	NOUN
globalce-125	113	2	3	3	NUM
globalce-125	113	3	shows	show	VERB
globalce-125	113	4	the	the	DET
globalce-125	113	5	estimated	estimate	VERB
globalce-125	113	6	errors	error	NOUN
globalce-125	113	7	.	.	PUNCT
globalce-125	114	1	the	the	DET
globalce-125	114	2	trained	train	VERB
globalce-125	114	3	classifiers	classifier	NOUN
globalce-125	114	4	have	have	AUX
globalce-125	114	5	been	be	AUX
globalce-125	114	6	tested	test	VERB
globalce-125	114	7	using	use	VERB
globalce-125	114	8	the	the	DET
globalce-125	114	9	second	second	ADJ
globalce-125	114	10	half	half	NOUN
globalce-125	114	11	of	of	ADP
globalce-125	114	12	the	the	DET
globalce-125	114	13	sleep	sleep	NOUN
globalce-125	114	14	cassette	cassette	NOUN
globalce-125	114	15	dataset	dataset	NOUN
globalce-125	114	16	,	,	PUNCT
globalce-125	114	17	and	and	CCONJ
globalce-125	114	18	the	the	DET
globalce-125	114	19	results	result	NOUN
globalce-125	114	20	have	have	AUX
globalce-125	114	21	been	be	AUX
globalce-125	114	22	compared	compare	VERB
globalce-125	114	23	.	.	PUNCT
globalce-125	115	1	the	the	DET
globalce-125	115	2	set	set	NOUN
globalce-125	115	3	has	have	VERB
globalce-125	115	4	77	77	NUM
globalce-125	115	5	records	record	NOUN
globalce-125	115	6	that	that	PRON
globalce-125	115	7	belong	belong	VERB
globalce-125	115	8	to	to	ADP
globalce-125	115	9	39	39	NUM
globalce-125	115	10	subjects	subject	NOUN
globalce-125	115	11	with	with	ADP
globalce-125	115	12	identifiers	identifier	NOUN
globalce-125	115	13	40	40	NUM
globalce-125	115	14	through	through	ADP
globalce-125	115	15	82	82	NUM
globalce-125	115	16	.	.	PUNCT
globalce-125	116	1	a	a	DET
globalce-125	116	2	total	total	NOUN
globalce-125	116	3	of	of	ADP
globalce-125	116	4	68.8	68.8	NUM
globalce-125	116	5	%	%	NOUN
globalce-125	116	6	of	of	ADP
globalce-125	116	7	the	the	DET
globalce-125	116	8	208349	208349	NUM
globalce-125	116	9	epochs	epoch	NOUN
globalce-125	116	10	belong	belong	VERB
globalce-125	116	11	to	to	ADP
globalce-125	116	12	the	the	DET
globalce-125	116	13	wake	wake	NOUN
globalce-125	116	14	stage	stage	NOUN
globalce-125	116	15	.	.	PUNCT
globalce-125	117	1	table	table	NOUN
globalce-125	117	2	2	2	NUM
globalce-125	117	3	.	.	X
globalce-125	117	4	sleep	sleep	NOUN
globalce-125	117	5	stage	stage	NOUN
globalce-125	117	6	distribution	distribution	NOUN
globalce-125	117	7	of	of	ADP
globalce-125	117	8	the	the	DET
globalce-125	117	9	analyzed	analyze	VERB
globalce-125	117	10	epochs	epoch	NOUN
globalce-125	117	11	stage	stage	NOUN
globalce-125	117	12	training	training	NOUN
globalce-125	117	13	testing	testing	NOUN
globalce-125	117	14	(	(	PUNCT
globalce-125	117	15	partial	partial	ADJ
globalce-125	117	16	)	)	PUNCT
globalce-125	117	17	testing	testing	NOUN
globalce-125	117	18	(	(	PUNCT
globalce-125	117	19	full	full	ADJ
globalce-125	117	20	)	)	PUNCT
globalce-125	117	21	count	count	NOUN
globalce-125	117	22	percent	percent	NOUN
globalce-125	117	23	count	count	NOUN
globalce-125	117	24	percent	percent	NOUN
globalce-125	117	25	count	count	NOUN
globalce-125	117	26	percent	percent	NOUN
globalce-125	117	27	w	w	PROPN
globalce-125	117	28	14884	14884	NUM
globalce-125	117	29	20.0	20.0	NUM
globalce-125	117	30	33410	33410	NUM
globalce-125	117	31	33.9	33.9	NUM
globalce-125	117	32	143265	143265	NUM
globalce-125	117	33	68.8	68.8	NUM
globalce-125	117	34	n1	n1	NOUN
globalce-125	117	35	7536	7536	NUM
globalce-125	117	36	10.1	10.1	NUM
globalce-125	117	37	14013	14013	NUM
globalce-125	117	38	14.2	14.2	NUM
globalce-125	117	39	14013	14013	NUM
globalce-125	117	40	6.7	6.7	NUM
globalce-125	117	41	n2	n2	NOUN
globalce-125	117	42	30143	30143	NUM
globalce-125	118	1	40.5	40.5	NUM
globalce-125	118	2	33906	33906	NUM
globalce-125	118	3	34.4	34.4	NUM
globalce-125	118	4	33906	33906	NUM
globalce-125	118	5	16.3	16.3	NUM
globalce-125	118	6	n3	n3	VERB
globalce-125	118	7	7954	7954	NUM
globalce-125	118	8	10.7	10.7	NUM
globalce-125	118	9	5104	5104	NUM
globalce-125	118	10	5.2	5.2	NUM
globalce-125	118	11	5104	5104	NUM
globalce-125	118	12	2.4	2.4	NUM
globalce-125	118	13	r	r	NOUN
globalce-125	118	14	13837	13837	NUM
globalce-125	118	15	18.6	18.6	NUM
globalce-125	118	16	12062	12062	NUM
globalce-125	118	17	12.2	12.2	NUM
globalce-125	118	18	12062	12062	NUM
globalce-125	118	19	5.8	5.8	NUM
globalce-125	118	20	total	total	NOUN
globalce-125	118	21	74354	74354	NUM
globalce-125	118	22	100.0	100.0	NUM
globalce-125	118	23	98495	98495	NUM
globalce-125	118	24	100.0	100.0	NUM
globalce-125	118	25	208349	208349	NUM
globalce-125	118	26	100.0	100.0	NUM
globalce-125	118	27	table	table	NOUN
globalce-125	118	28	3	3	NUM
globalce-125	118	29	.	.	PUNCT
globalce-125	118	30	validation	validation	NOUN
globalce-125	118	31	error	error	NOUN
globalce-125	118	32	using	use	VERB
globalce-125	118	33	the	the	DET
globalce-125	118	34	training	training	NOUN
globalce-125	118	35	records	record	NOUN
globalce-125	118	36	type	type	VERB
globalce-125	118	37	acc	acc	PROPN
globalce-125	118	38	kappa	kappa	PROPN
globalce-125	118	39	pr	pr	PROPN
globalce-125	118	40	re	re	PROPN
globalce-125	118	41	w	w	PROPN
globalce-125	118	42	n1	n1	ADJ
globalce-125	118	43	n2	n2	NOUN
globalce-125	118	44	n3	n3	NOUN
globalce-125	118	45	r	r	PROPN
globalce-125	118	46	w	w	PROPN
globalce-125	118	47	n1	n1	PROPN
globalce-125	118	48	n2	n2	NOUN
globalce-125	118	49	n3	n3	PROPN
globalce-125	118	50	r	r	PROPN
globalce-125	118	51	lda	lda	PROPN
globalce-125	118	52	77.29	77.29	NUM
globalce-125	118	53	0.6882	0.6882	NUM
globalce-125	118	54	0.902	0.902	NUM
globalce-125	118	55	0.438	0.438	NUM
globalce-125	118	56	0.775	0.775	NUM
globalce-125	118	57	0.817	0.817	NUM
globalce-125	118	58	0.785	0.785	NUM
globalce-125	118	59	0.804	0.804	NUM
globalce-125	118	60	0.398	0.398	NUM
globalce-125	118	61	0.869	0.869	NUM
globalce-125	118	62	0.843	0.843	NUM
globalce-125	118	63	0.695	0.695	NUM
globalce-125	118	64	nb	nb	NOUN
globalce-125	118	65	64.79	64.79	NUM
globalce-125	118	66	0.5324	0.5324	NUM
globalce-125	118	67	0.748	0.748	NUM
globalce-125	118	68	0.320	0.320	NUM
globalce-125	118	69	0.738	0.738	NUM
globalce-125	118	70	0.507	0.507	NUM
globalce-125	118	71	0.659	0.659	NUM
globalce-125	118	72	0.689	0.689	NUM
globalce-125	118	73	0.249	0.249	NUM
globalce-125	118	74	0.668	0.668	NUM
globalce-125	118	75	0.925	0.925	NUM
globalce-125	118	76	0.619	0.619	NUM
globalce-125	118	77	rf	rf	VERB
globalce-125	118	78	83.09	83.09	NUM
globalce-125	118	79	0.7674	0.7674	NUM
globalce-125	118	80	0.868	0.868	NUM
globalce-125	118	81	0.623	0.623	NUM
globalce-125	118	82	0.830	0.830	NUM
globalce-125	118	83	0.896	0.896	NUM
globalce-125	118	84	0.822	0.822	NUM
globalce-125	118	85	0.904	0.904	NUM
globalce-125	118	86	0.365	0.365	NUM
globalce-125	118	87	0.906	0.906	NUM
globalce-125	118	88	0.863	0.863	NUM
globalce-125	118	89	0.825	0.825	NUM
globalce-125	118	90	svm	svm	VERB
globalce-125	118	91	79.49	79.49	NUM
globalce-125	118	92	0.7155	0.7155	NUM
globalce-125	118	93	0.858	0.858	NUM
globalce-125	118	94	0.501	0.501	NUM
globalce-125	118	95	0.788	0.788	NUM
globalce-125	118	96	0.872	0.872	NUM
globalce-125	118	97	0.787	0.787	NUM
globalce-125	118	98	0.867	0.867	NUM
globalce-125	118	99	0.286	0.286	NUM
globalce-125	118	100	0.894	0.894	NUM
globalce-125	118	101	0.848	0.848	NUM
globalce-125	118	102	0.745	0.745	NUM
globalce-125	118	103	mlp	mlp	NOUN
globalce-125	118	104	80.60	80.60	NUM
globalce-125	118	105	0.7334	0.7334	NUM
globalce-125	118	106	0.883	0.883	NUM
globalce-125	118	107	0.515	0.515	NUM
globalce-125	118	108	0.808	0.808	NUM
globalce-125	118	109	0.867	0.867	NUM
globalce-125	118	110	0.790	0.790	NUM
globalce-125	118	111	0.874	0.874	NUM
globalce-125	118	112	0.342	0.342	NUM
globalce-125	118	113	0.885	0.885	NUM
globalce-125	118	114	0.838	0.838	NUM
globalce-125	118	115	0.794	0.794	NUM
globalce-125	118	116	dfn	dfn	NOUN
globalce-125	118	117	74.27	74.27	NUM
globalce-125	118	118	0.6630	0.6630	NUM
globalce-125	118	119	0.969	0.969	NUM
globalce-125	118	120	0.287	0.287	NUM
globalce-125	118	121	0.883	0.883	NUM
globalce-125	118	122	0.652	0.652	NUM
globalce-125	118	123	0.822	0.822	NUM
globalce-125	118	124	0.789	0.789	NUM
globalce-125	118	125	0.692	0.692	NUM
globalce-125	118	126	0.721	0.721	NUM
globalce-125	118	127	0.912	0.912	NUM
globalce-125	118	128	0.658	0.658	NUM
globalce-125	118	129	dsn	dsn	PROPN
globalce-125	118	130	78.10	78.10	NUM
globalce-125	118	131	0.7055	0.7055	NUM
globalce-125	118	132	0.906	0.906	NUM
globalce-125	118	133	0.326	0.326	NUM
globalce-125	118	134	0.854	0.854	NUM
globalce-125	118	135	0.756	0.756	NUM
globalce-125	118	136	0.911	0.911	NUM
globalce-125	118	137	0.901	0.901	NUM
globalce-125	118	138	0.427	0.427	NUM
globalce-125	118	139	0.812	0.812	NUM
globalce-125	118	140	0.726	0.726	NUM
globalce-125	118	141	0.817	0.817	NUM
globalce-125	118	142	avg	avg	NOUN
globalce-125	118	143	76.80	76.80	NUM
globalce-125	118	144	0.6865	0.6865	NUM
globalce-125	118	145	0.876	0.876	NUM
globalce-125	118	146	0.430	0.430	NUM
globalce-125	118	147	0.811	0.811	NUM
globalce-125	118	148	0.767	0.767	NUM
globalce-125	118	149	0.797	0.797	NUM
globalce-125	118	150	0.833	0.833	NUM
globalce-125	118	151	0.394	0.394	NUM
globalce-125	118	152	0.822	0.822	NUM
globalce-125	118	153	0.851	0.851	NUM
globalce-125	118	154	0.736	0.736	NUM
globalce-125	118	155	https://github.com/alabrada/deepsleepnet	https://github.com/alabrada/deepsleepnet	PROPN
globalce-125	118	156	https://github.com/alabrada/deepsleepnet	https://github.com/alabrada/deepsleepnet	PROPN
globalce-125	118	157	j	j	PROPN
globalce-125	118	158	global	global	ADJ
globalce-125	118	159	clinical	clinical	ADJ
globalce-125	118	160	engineering	engineering	NOUN
globalce-125	118	161	vol.5	vol.5	ADJ
globalce-125	118	162	issue	issue	NOUN
globalce-125	118	163	1	1	NUM
globalce-125	118	164	:	:	SYM
globalce-125	118	165	2022	2022	NUM
globalce-125	118	166	14	14	NUM
globalce-125	118	167	labrada	labrada	NOUN
globalce-125	118	168	,	,	PUNCT
globalce-125	118	169	febles	feble	NOUN
globalce-125	118	170	,	,	PUNCT
globalce-125	118	171	antelo	antelo	ADV
globalce-125	118	172	:	:	PUNCT
globalce-125	118	173	comparison	comparison	NOUN
globalce-125	118	174	of	of	ADP
globalce-125	118	175	automatic	automatic	ADJ
globalce-125	118	176	sleep	sleep	NOUN
globalce-125	118	177	stage	stage	NOUN
globalce-125	118	178	classification	classification	NOUN
globalce-125	118	179	methods	method	NOUN
globalce-125	118	180	for	for	ADP
globalce-125	118	181	clinical	clinical	ADJ
globalce-125	118	182	use	use	NOUN
globalce-125	118	183	following	follow	VERB
globalce-125	118	184	the	the	DET
globalce-125	118	185	procedure	procedure	NOUN
globalce-125	118	186	that	that	PRON
globalce-125	118	187	has	have	AUX
globalce-125	118	188	been	be	AUX
globalce-125	118	189	described	describe	VERB
globalce-125	118	190	in	in	ADP
globalce-125	118	191	section	section	NOUN
globalce-125	118	192	preprocessing	preprocessing	NOUN
globalce-125	118	193	,	,	PUNCT
globalce-125	118	194	the	the	DET
globalce-125	118	195	disparity	disparity	NOUN
globalce-125	118	196	between	between	ADP
globalce-125	118	197	stages	stage	NOUN
globalce-125	118	198	can	can	AUX
globalce-125	118	199	be	be	AUX
globalce-125	118	200	decreased	decrease	VERB
globalce-125	118	201	by	by	ADP
globalce-125	118	202	reducing	reduce	VERB
globalce-125	118	203	this	this	DET
globalce-125	118	204	quantity	quantity	NOUN
globalce-125	118	205	to	to	ADP
globalce-125	118	206	the	the	DET
globalce-125	118	207	33.9	33.9	NUM
globalce-125	118	208	%	%	NOUN
globalce-125	118	209	.	.	PUNCT
globalce-125	119	1	table	table	NOUN
globalce-125	119	2	4	4	NUM
globalce-125	119	3	shows	show	VERB
globalce-125	119	4	a	a	DET
globalce-125	119	5	performance	performance	NOUN
globalce-125	119	6	comparison	comparison	NOUN
globalce-125	119	7	between	between	ADP
globalce-125	119	8	the	the	DET
globalce-125	119	9	algorithms	algorithm	NOUN
globalce-125	119	10	using	use	VERB
globalce-125	119	11	only	only	ADV
globalce-125	119	12	the	the	DET
globalce-125	119	13	selected	select	VERB
globalce-125	119	14	epochs	epoch	NOUN
globalce-125	119	15	,	,	PUNCT
globalce-125	119	16	while	while	SCONJ
globalce-125	119	17	table	table	NOUN
globalce-125	119	18	5	5	NUM
globalce-125	119	19	shows	show	VERB
globalce-125	119	20	the	the	DET
globalce-125	119	21	same	same	ADJ
globalce-125	119	22	comparison	comparison	NOUN
globalce-125	119	23	,	,	PUNCT
globalce-125	119	24	but	but	CCONJ
globalce-125	119	25	with	with	ADP
globalce-125	119	26	all	all	DET
globalce-125	119	27	the	the	DET
globalce-125	119	28	epochs	epoch	NOUN
globalce-125	119	29	.	.	PUNCT
globalce-125	120	1	finally	finally	ADV
globalce-125	120	2	,	,	PUNCT
globalce-125	120	3	table	table	NOUN
globalce-125	120	4	6	6	NUM
globalce-125	120	5	compares	compare	VERB
globalce-125	120	6	the	the	DET
globalce-125	120	7	execution	execution	NOUN
globalce-125	120	8	time	time	NOUN
globalce-125	120	9	of	of	ADP
globalce-125	120	10	the	the	DET
globalce-125	120	11	algorithms	algorithm	NOUN
globalce-125	120	12	while	while	SCONJ
globalce-125	120	13	classifying	classify	VERB
globalce-125	120	14	the	the	DET
globalce-125	120	15	whole	whole	ADJ
globalce-125	120	16	test	test	NOUN
globalce-125	120	17	dataset	dataset	VERB
globalce-125	120	18	.	.	PUNCT
globalce-125	121	1	the	the	DET
globalce-125	121	2	execution	execution	NOUN
globalce-125	121	3	time	time	NOUN
globalce-125	121	4	of	of	ADP
globalce-125	121	5	the	the	DET
globalce-125	121	6	algorithms	algorithm	NOUN
globalce-125	121	7	that	that	PRON
globalce-125	121	8	use	use	VERB
globalce-125	121	9	classifiers	classifier	NOUN
globalce-125	121	10	implemented	implement	VERB
globalce-125	121	11	in	in	ADP
globalce-125	121	12	weka	weka	PROPN
globalce-125	121	13	is	be	AUX
globalce-125	121	14	further	far	ADV
globalce-125	121	15	split	split	VERB
globalce-125	121	16	into	into	ADP
globalce-125	121	17	the	the	DET
globalce-125	121	18	feature	feature	NOUN
globalce-125	121	19	extraction	extraction	NOUN
globalce-125	121	20	and	and	CCONJ
globalce-125	121	21	classification	classification	NOUN
globalce-125	121	22	phases	phase	NOUN
globalce-125	121	23	.	.	PUNCT
globalce-125	122	1	the	the	DET
globalce-125	122	2	data	datum	NOUN
globalce-125	122	3	has	have	AUX
globalce-125	122	4	been	be	AUX
globalce-125	122	5	collected	collect	VERB
globalce-125	122	6	in	in	ADP
globalce-125	122	7	a	a	DET
globalce-125	122	8	personal	personal	ADJ
globalce-125	122	9	computer	computer	NOUN
globalce-125	122	10	with	with	ADP
globalce-125	122	11	an	an	DET
globalce-125	122	12	intel	intel	PROPN
globalce-125	122	13	core	core	NOUN
globalce-125	122	14	i5	i5	PROPN
globalce-125	122	15	-	-	PUNCT
globalce-125	122	16	4570	4570	NUM
globalce-125	122	17	processor	processor	NOUN
globalce-125	122	18	(	(	PUNCT
globalce-125	122	19	cpu	cpu	PROPN
globalce-125	122	20	)	)	PUNCT
globalce-125	122	21	,	,	PUNCT
globalce-125	122	22	16	16	NUM
globalce-125	122	23	gb	gb	NOUN
globalce-125	122	24	of	of	ADP
globalce-125	122	25	ddr3	ddr3	PROPN
globalce-125	122	26	-	-	PUNCT
globalce-125	122	27	1600	1600	NUM
globalce-125	122	28	memory	memory	NOUN
globalce-125	122	29	(	(	PUNCT
globalce-125	122	30	ram	ram	NOUN
globalce-125	122	31	)	)	PUNCT
globalce-125	122	32	,	,	PUNCT
globalce-125	122	33	and	and	CCONJ
globalce-125	122	34	executed	execute	VERB
globalce-125	122	35	in	in	ADP
globalce-125	122	36	microsoft	microsoft	PROPN
globalce-125	122	37	.net	.net	PROPN
globalce-125	122	38	framework	framework	PROPN
globalce-125	122	39	.	.	PUNCT
globalce-125	123	1	discussion	discussion	NOUN
globalce-125	123	2	the	the	DET
globalce-125	123	3	results	result	NOUN
globalce-125	123	4	show	show	VERB
globalce-125	123	5	that	that	SCONJ
globalce-125	123	6	the	the	DET
globalce-125	123	7	test	test	NOUN
globalce-125	123	8	error	error	NOUN
globalce-125	123	9	is	be	AUX
globalce-125	123	10	less	less	ADJ
globalce-125	123	11	than	than	ADP
globalce-125	123	12	the	the	DET
globalce-125	123	13	validation	validation	NOUN
globalce-125	123	14	error	error	NOUN
globalce-125	123	15	when	when	SCONJ
globalce-125	123	16	using	use	VERB
globalce-125	123	17	the	the	DET
globalce-125	123	18	full	full	ADJ
globalce-125	123	19	records	record	NOUN
globalce-125	123	20	,	,	PUNCT
globalce-125	123	21	but	but	CCONJ
globalce-125	123	22	it	it	PRON
globalce-125	123	23	is	be	AUX
globalce-125	123	24	greater	great	ADJ
globalce-125	123	25	when	when	SCONJ
globalce-125	123	26	using	use	VERB
globalce-125	123	27	the	the	DET
globalce-125	123	28	selected	select	VERB
globalce-125	123	29	subset	subset	NOUN
globalce-125	123	30	of	of	ADP
globalce-125	123	31	the	the	DET
globalce-125	123	32	epochs	epoch	NOUN
globalce-125	123	33	.	.	PUNCT
globalce-125	124	1	this	this	DET
globalce-125	124	2	apparent	apparent	ADJ
globalce-125	124	3	discrepancy	discrepancy	NOUN
globalce-125	124	4	can	can	AUX
globalce-125	124	5	be	be	AUX
globalce-125	124	6	explained	explain	VERB
globalce-125	124	7	due	due	ADP
globalce-125	124	8	to	to	ADP
globalce-125	124	9	the	the	DET
globalce-125	124	10	previously	previously	ADV
globalce-125	124	11	mentioned	mention	VERB
globalce-125	124	12	high	high	ADJ
globalce-125	124	13	proportion	proportion	NOUN
globalce-125	124	14	of	of	ADP
globalce-125	124	15	epochs	epoch	NOUN
globalce-125	124	16	classified	classify	VERB
globalce-125	124	17	with	with	ADP
globalce-125	124	18	wake	wake	VERB
globalce-125	124	19	stages	stage	NOUN
globalce-125	124	20	.	.	PUNCT
globalce-125	125	1	every	every	DET
globalce-125	125	2	one	one	NUM
globalce-125	125	3	of	of	ADP
globalce-125	125	4	the	the	DET
globalce-125	125	5	analyzed	analyze	VERB
globalce-125	125	6	algorithms	algorithms	NOUN
globalce-125	125	7	obtains	obtain	VERB
globalce-125	125	8	relatively	relatively	ADV
globalce-125	125	9	high	high	ADJ
globalce-125	125	10	precision	precision	NOUN
globalce-125	125	11	and	and	CCONJ
globalce-125	125	12	recall	recall	NOUN
globalce-125	125	13	results	result	NOUN
globalce-125	125	14	classifying	classify	VERB
globalce-125	125	15	this	this	DET
globalce-125	125	16	stage	stage	NOUN
globalce-125	125	17	.	.	PUNCT
globalce-125	126	1	in	in	ADP
globalce-125	126	2	contrast	contrast	NOUN
globalce-125	126	3	,	,	PUNCT
globalce-125	126	4	all	all	DET
globalce-125	126	5	algorithms	algorithm	NOUN
globalce-125	126	6	attain	attain	VERB
globalce-125	126	7	poor	poor	ADJ
globalce-125	126	8	precision	precision	NOUN
globalce-125	126	9	and	and	CCONJ
globalce-125	126	10	recall	recall	NOUN
globalce-125	126	11	results	result	NOUN
globalce-125	126	12	that	that	PRON
globalce-125	126	13	classify	classify	VERB
globalce-125	126	14	the	the	DET
globalce-125	126	15	n1	n1	ADJ
globalce-125	126	16	stage	stage	NOUN
globalce-125	126	17	in	in	ADP
globalce-125	126	18	absolute	absolute	ADJ
globalce-125	126	19	and	and	CCONJ
globalce-125	126	20	relative	relative	ADJ
globalce-125	126	21	terms	term	NOUN
globalce-125	126	22	.	.	PUNCT
globalce-125	127	1	this	this	DET
globalce-125	127	2	behavior	behavior	NOUN
globalce-125	127	3	is	be	AUX
globalce-125	127	4	consistent	consistent	ADJ
globalce-125	127	5	with	with	ADP
globalce-125	127	6	other	other	ADJ
globalce-125	127	7	studies	study	NOUN
globalce-125	127	8	from	from	ADP
globalce-125	127	9	the	the	DET
globalce-125	127	10	scientific	scientific	ADJ
globalce-125	127	11	literature,24	literature,24	NOUN
globalce-125	127	12	especially	especially	ADV
globalce-125	127	13	those	those	DET
globalce-125	127	14	table	table	NOUN
globalce-125	127	15	4	4	NUM
globalce-125	127	16	.	.	PUNCT
globalce-125	127	17	performance	performance	NOUN
globalce-125	127	18	comparison	comparison	NOUN
globalce-125	127	19	of	of	ADP
globalce-125	127	20	the	the	DET
globalce-125	127	21	classifiers	classifier	NOUN
globalce-125	127	22	using	use	VERB
globalce-125	127	23	the	the	DET
globalce-125	127	24	partial	partial	ADJ
globalce-125	127	25	test	test	NOUN
globalce-125	127	26	dataset	dataset	NOUN
globalce-125	127	27	type	type	NOUN
globalce-125	127	28	acc	acc	PROPN
globalce-125	127	29	kappa	kappa	PROPN
globalce-125	127	30	pr	pr	PROPN
globalce-125	127	31	re	re	PROPN
globalce-125	127	32	w	w	PROPN
globalce-125	127	33	n1	n1	ADJ
globalce-125	127	34	n2	n2	NOUN
globalce-125	127	35	n3	n3	NOUN
globalce-125	127	36	r	r	PROPN
globalce-125	127	37	w	w	PROPN
globalce-125	127	38	n1	n1	PROPN
globalce-125	127	39	n2	n2	NOUN
globalce-125	127	40	n3	n3	PROPN
globalce-125	127	41	r	r	PROPN
globalce-125	127	42	lda	lda	PROPN
globalce-125	127	43	69.43	69.43	NUM
globalce-125	127	44	0.5776	0.5776	NUM
globalce-125	127	45	0.911	0.911	NUM
globalce-125	127	46	0.385	0.385	NUM
globalce-125	127	47	0.664	0.664	NUM
globalce-125	127	48	0.465	0.465	NUM
globalce-125	127	49	0.723	0.723	NUM
globalce-125	127	50	0.759	0.759	NUM
globalce-125	127	51	0.279	0.279	NUM
globalce-125	127	52	0.840	0.840	NUM
globalce-125	127	53	0.752	0.752	NUM
globalce-125	127	54	0.563	0.563	NUM
globalce-125	127	55	nb	nb	NOUN
globalce-125	127	56	55.09	55.09	NUM
globalce-125	127	57	0.4109	0.4109	NUM
globalce-125	127	58	0.841	0.841	NUM
globalce-125	127	59	0.329	0.329	NUM
globalce-125	127	60	0.594	0.594	NUM
globalce-125	127	61	0.241	0.241	NUM
globalce-125	127	62	0.555	0.555	NUM
globalce-125	127	63	0.604	0.604	NUM
globalce-125	127	64	0.231	0.231	NUM
globalce-125	127	65	0.582	0.582	NUM
globalce-125	127	66	0.954	0.954	NUM
globalce-125	127	67	0.515	0.515	NUM
globalce-125	127	68	rf	rf	NUM
globalce-125	127	69	73.98	73.98	NUM
globalce-125	127	70	0.6335	0.6335	NUM
globalce-125	127	71	0.858	0.858	NUM
globalce-125	127	72	0.504	0.504	NUM
globalce-125	127	73	0.692	0.692	NUM
globalce-125	127	74	0.637	0.637	NUM
globalce-125	127	75	0.737	0.737	NUM
globalce-125	127	76	0.853	0.853	NUM
globalce-125	127	77	0.183	0.183	NUM
globalce-125	127	78	0.887	0.887	NUM
globalce-125	127	79	0.756	0.756	NUM
globalce-125	127	80	0.652	0.652	NUM
globalce-125	127	81	svm	svm	PROPN
globalce-125	127	82	72.93	72.93	NUM
globalce-125	127	83	0.6213	0.6213	NUM
globalce-125	127	84	0.866	0.866	NUM
globalce-125	127	85	0.433	0.433	NUM
globalce-125	127	86	0.697	0.697	NUM
globalce-125	127	87	0.591	0.591	NUM
globalce-125	127	88	0.718	0.718	NUM
globalce-125	127	89	0.842	0.842	NUM
globalce-125	127	90	0.215	0.215	NUM
globalce-125	127	91	0.863	0.863	NUM
globalce-125	127	92	0.774	0.774	NUM
globalce-125	127	93	0.619	0.619	NUM
globalce-125	127	94	mlp	mlp	NOUN
globalce-125	127	95	71.22	71.22	NUM
globalce-125	127	96	0.6009	0.6009	NUM
globalce-125	127	97	0.817	0.817	NUM
globalce-125	127	98	0.399	0.399	NUM
globalce-125	127	99	0.724	0.724	NUM
globalce-125	127	100	0.558	0.558	NUM
globalce-125	127	101	0.682	0.682	NUM
globalce-125	127	102	0.856	0.856	NUM
globalce-125	127	103	0.244	0.244	NUM
globalce-125	127	104	0.784	0.784	NUM
globalce-125	127	105	0.770	0.770	NUM
globalce-125	127	106	0.634	0.634	NUM
globalce-125	127	107	dfn	dfn	NOUN
globalce-125	127	108	67.78	67.78	NUM
globalce-125	127	109	0.5670	0.5670	NUM
globalce-125	127	110	0.968	0.968	NUM
globalce-125	127	111	0.303	0.303	NUM
globalce-125	127	112	0.743	0.743	NUM
globalce-125	127	113	0.517	0.517	NUM
globalce-125	127	114	0.898	0.898	NUM
globalce-125	127	115	0.697	0.697	NUM
globalce-125	127	116	0.640	0.640	NUM
globalce-125	127	117	0.734	0.734	NUM
globalce-125	127	118	0.776	0.776	NUM
globalce-125	127	119	0.454	0.454	NUM
globalce-125	127	120	dsn	dsn	PROPN
globalce-125	127	121	73.88	73.88	NUM
globalce-125	127	122	0.6308	0.6308	NUM
globalce-125	127	123	0.864	0.864	NUM
globalce-125	127	124	0.347	0.347	NUM
globalce-125	127	125	0.772	0.772	NUM
globalce-125	127	126	0.812	0.812	NUM
globalce-125	127	127	0.959	0.959	NUM
globalce-125	127	128	0.894	0.894	NUM
globalce-125	127	129	0.419	0.419	NUM
globalce-125	127	130	0.744	0.744	NUM
globalce-125	127	131	0.553	0.553	NUM
globalce-125	127	132	0.675	0.675	NUM
globalce-125	127	133	avg	avg	NOUN
globalce-125	127	134	69.19	69.19	NUM
globalce-125	127	135	0.5774	0.5774	NUM
globalce-125	127	136	0.875	0.875	NUM
globalce-125	127	137	0.386	0.386	NUM
globalce-125	127	138	0.698	0.698	NUM
globalce-125	127	139	0.546	0.546	NUM
globalce-125	127	140	0.753	0.753	NUM
globalce-125	127	141	0.786	0.786	NUM
globalce-125	127	142	0.316	0.316	NUM
globalce-125	127	143	0.776	0.776	NUM
globalce-125	127	144	0.762	0.762	NUM
globalce-125	127	145	0.587	0.587	NUM
globalce-125	127	146	table	table	NOUN
globalce-125	127	147	5	5	NUM
globalce-125	127	148	.	.	PUNCT
globalce-125	127	149	performance	performance	NOUN
globalce-125	127	150	comparison	comparison	NOUN
globalce-125	127	151	of	of	ADP
globalce-125	127	152	the	the	DET
globalce-125	127	153	classifiers	classifier	NOUN
globalce-125	127	154	using	use	VERB
globalce-125	127	155	the	the	DET
globalce-125	127	156	full	full	ADJ
globalce-125	127	157	test	test	NOUN
globalce-125	127	158	dataset	dataset	NOUN
globalce-125	127	159	type	type	NOUN
globalce-125	127	160	acc	acc	PROPN
globalce-125	127	161	kappa	kappa	PROPN
globalce-125	127	162	pr	pr	PROPN
globalce-125	127	163	re	re	PROPN
globalce-125	127	164	w	w	PROPN
globalce-125	127	165	n1	n1	ADJ
globalce-125	127	166	n2	n2	NOUN
globalce-125	127	167	n3	n3	NOUN
globalce-125	127	168	r	r	PROPN
globalce-125	127	169	w	w	PROPN
globalce-125	127	170	n1	n1	PROPN
globalce-125	127	171	n2	n2	NOUN
globalce-125	127	172	n3	n3	PROPN
globalce-125	127	173	r	r	PROPN
globalce-125	127	174	lda	lda	PROPN
globalce-125	127	175	83.45	83.45	NUM
globalce-125	127	176	0.6804	0.6804	NUM
globalce-125	127	177	0.981	0.981	NUM
globalce-125	127	178	0.340	0.340	NUM
globalce-125	127	179	0.644	0.644	NUM
globalce-125	127	180	0.429	0.429	NUM
globalce-125	127	181	0.655	0.655	NUM
globalce-125	127	182	0.913	0.913	NUM
globalce-125	127	183	0.279	0.279	NUM
globalce-125	127	184	0.840	0.840	NUM
globalce-125	127	185	0.752	0.752	NUM
globalce-125	127	186	0.563	0.563	NUM
globalce-125	127	187	nb	nb	NOUN
globalce-125	127	188	69.02	69.02	NUM
globalce-125	127	189	0.4682	0.4682	NUM
globalce-125	127	190	0.966	0.966	NUM
globalce-125	127	191	0.222	0.222	NUM
globalce-125	127	192	0.504	0.504	NUM
globalce-125	127	193	0.197	0.197	NUM
globalce-125	127	194	0.380	0.380	NUM
globalce-125	127	195	0.766	0.766	NUM
globalce-125	127	196	0.231	0.231	NUM
globalce-125	127	197	0.582	0.582	NUM
globalce-125	127	198	0.954	0.954	NUM
globalce-125	127	199	0.515	0.515	NUM
globalce-125	127	200	rf	rf	NUM
globalce-125	127	201	86.43	86.43	NUM
globalce-125	127	202	0.7263	0.7263	NUM
globalce-125	127	203	0.966	0.966	NUM
globalce-125	127	204	0.466	0.466	NUM
globalce-125	127	205	0.666	0.666	NUM
globalce-125	127	206	0.622	0.622	NUM
globalce-125	127	207	0.711	0.711	NUM
globalce-125	127	208	0.947	0.947	NUM
globalce-125	127	209	0.183	0.183	NUM
globalce-125	127	210	0.887	0.887	NUM
globalce-125	127	211	0.756	0.756	NUM
globalce-125	127	212	0.652	0.652	NUM
globalce-125	127	213	svm	svm	PROPN
globalce-125	127	214	85.73	85.73	NUM
globalce-125	127	215	0.7147	0.7147	NUM
globalce-125	127	216	0.969	0.969	NUM
globalce-125	127	217	0.382	0.382	NUM
globalce-125	127	218	0.679	0.679	NUM
globalce-125	127	219	0.563	0.563	NUM
globalce-125	127	220	0.675	0.675	NUM
globalce-125	127	221	0.942	0.942	NUM
globalce-125	127	222	0.215	0.215	NUM
globalce-125	127	223	0.863	0.863	NUM
globalce-125	127	224	0.774	0.774	NUM
globalce-125	127	225	0.619	0.619	NUM
globalce-125	127	226	mlp	mlp	NOUN
globalce-125	127	227	85.10	85.10	NUM
globalce-125	127	228	0.699	0.699	NUM
globalce-125	127	229	0.955	0.955	NUM
globalce-125	127	230	0.347	0.347	NUM
globalce-125	127	231	0.709	0.709	NUM
globalce-125	127	232	0.532	0.532	NUM
globalce-125	127	233	0.666	0.666	NUM
globalce-125	127	234	0.947	0.947	NUM
globalce-125	127	235	0.244	0.244	NUM
globalce-125	127	236	0.784	0.784	NUM
globalce-125	127	237	0.770	0.770	NUM
globalce-125	127	238	0.634	0.634	NUM
globalce-125	127	239	dfn	dfn	NOUN
globalce-125	127	240	80.14	80.14	NUM
globalce-125	127	241	0.6366	0.6366	NUM
globalce-125	127	242	0.991	0.991	NUM
globalce-125	127	243	0.270	0.270	NUM
globalce-125	127	244	0.687	0.687	NUM
globalce-125	127	245	0.415	0.415	NUM
globalce-125	127	246	0.879	0.879	NUM
globalce-125	127	247	0.862	0.862	NUM
globalce-125	127	248	0.579	0.579	NUM
globalce-125	127	249	0.774	0.774	NUM
globalce-125	127	250	0.772	0.772	NUM
globalce-125	127	251	0.432	0.432	NUM
globalce-125	127	252	dsn	dsn	PROPN
globalce-125	127	253	85.30	85.30	NUM
globalce-125	127	254	0.6973	0.6973	NUM
globalce-125	127	255	0.953	0.953	NUM
globalce-125	127	256	0.318	0.318	NUM
globalce-125	127	257	0.773	0.773	NUM
globalce-125	127	258	0.812	0.812	NUM
globalce-125	127	259	0.967	0.967	NUM
globalce-125	127	260	0.970	0.970	NUM
globalce-125	127	261	0.537	0.537	NUM
globalce-125	127	262	0.688	0.688	NUM
globalce-125	127	263	0.442	0.442	NUM
globalce-125	127	264	0.474	0.474	NUM
globalce-125	127	265	avg	avg	NOUN
globalce-125	127	266	82.17	82.17	NUM
globalce-125	127	267	0.6604	0.6604	NUM
globalce-125	127	268	0.969	0.969	NUM
globalce-125	127	269	0.335	0.335	NUM
globalce-125	127	270	0.666	0.666	NUM
globalce-125	127	271	0.510	0.510	NUM
globalce-125	127	272	0.705	0.705	NUM
globalce-125	127	273	0.908	0.908	NUM
globalce-125	127	274	0.324	0.324	NUM
globalce-125	127	275	0.774	0.774	NUM
globalce-125	127	276	0.746	0.746	NUM
globalce-125	127	277	0.556	0.556	NUM
globalce-125	127	278	15	15	NUM
globalce-125	127	279	j	j	PROPN
globalce-125	127	280	global	global	ADJ
globalce-125	127	281	clinical	clinical	ADJ
globalce-125	127	282	engineering	engineering	NOUN
globalce-125	127	283	vol.5	vol.5	ADJ
globalce-125	127	284	issue	issue	NOUN
globalce-125	127	285	1	1	NUM
globalce-125	127	286	:	:	SYM
globalce-125	127	287	2022	2022	NUM
globalce-125	127	288	labrada	labrada	NOUN
globalce-125	127	289	,	,	PUNCT
globalce-125	127	290	febles	feble	NOUN
globalce-125	127	291	,	,	PUNCT
globalce-125	127	292	antelo	antelo	ADV
globalce-125	127	293	:	:	PUNCT
globalce-125	127	294	comparison	comparison	NOUN
globalce-125	127	295	of	of	ADP
globalce-125	127	296	automatic	automatic	ADJ
globalce-125	127	297	sleep	sleep	NOUN
globalce-125	127	298	stage	stage	NOUN
globalce-125	127	299	classification	classification	NOUN
globalce-125	127	300	methods	method	NOUN
globalce-125	127	301	for	for	ADP
globalce-125	127	302	clinical	clinical	ADJ
globalce-125	127	303	use	use	NOUN
globalce-125	127	304	using	use	VERB
globalce-125	127	305	the	the	DET
globalce-125	127	306	sleep	sleep	NOUN
globalce-125	127	307	-	-	PUNCT
globalce-125	127	308	edfx	edfx	NOUN
globalce-125	127	309	dataset.13,14,26–28	dataset.13,14,26–28	VERB
globalce-125	127	310	the	the	DET
globalce-125	127	311	dfn	dfn	NOUN
globalce-125	127	312	and	and	CCONJ
globalce-125	127	313	dsn	dsn	PROPN
globalce-125	127	314	algorithms	algorithm	NOUN
globalce-125	127	315	reach	reach	VERB
globalce-125	127	316	around	around	ADV
globalce-125	127	317	20	20	NUM
globalce-125	127	318	%	%	NOUN
globalce-125	127	319	higher	high	ADJ
globalce-125	127	320	recall	recall	NOUN
globalce-125	127	321	measures	measure	NOUN
globalce-125	127	322	for	for	ADP
globalce-125	127	323	this	this	DET
globalce-125	127	324	stage	stage	NOUN
globalce-125	127	325	,	,	PUNCT
globalce-125	127	326	but	but	CCONJ
globalce-125	127	327	its	its	PRON
globalce-125	127	328	influence	influence	NOUN
globalce-125	127	329	is	be	AUX
globalce-125	127	330	mitigated	mitigate	VERB
globalce-125	127	331	by	by	ADP
globalce-125	127	332	lower	low	ADJ
globalce-125	127	333	values	value	NOUN
globalce-125	127	334	in	in	ADP
globalce-125	127	335	other	other	ADJ
globalce-125	127	336	stages	stage	NOUN
globalce-125	127	337	.	.	PUNCT
globalce-125	128	1	the	the	DET
globalce-125	128	2	low	low	ADJ
globalce-125	128	3	classification	classification	NOUN
globalce-125	128	4	accuracy	accuracy	NOUN
globalce-125	128	5	of	of	ADP
globalce-125	128	6	the	the	DET
globalce-125	128	7	n1	n1	ADJ
globalce-125	128	8	stage	stage	NOUN
globalce-125	128	9	can	can	AUX
globalce-125	128	10	affect	affect	VERB
globalce-125	128	11	the	the	DET
globalce-125	128	12	result	result	NOUN
globalce-125	128	13	of	of	ADP
globalce-125	128	14	the	the	DET
globalce-125	128	15	sleep	sleep	NOUN
globalce-125	128	16	quality	quality	NOUN
globalce-125	128	17	analysis,29	analysis,29	NOUN
globalce-125	128	18	which	which	PRON
globalce-125	128	19	makes	make	VERB
globalce-125	128	20	the	the	DET
globalce-125	128	21	algorithms	algorithm	NOUN
globalce-125	128	22	unsuitable	unsuitable	ADJ
globalce-125	128	23	for	for	ADP
globalce-125	128	24	standalone	standalone	ADJ
globalce-125	128	25	usage	usage	NOUN
globalce-125	128	26	and	and	CCONJ
globalce-125	128	27	,	,	PUNCT
globalce-125	128	28	thus	thus	ADV
globalce-125	128	29	,	,	PUNCT
globalce-125	128	30	require	require	VERB
globalce-125	128	31	the	the	DET
globalce-125	128	32	intervention	intervention	NOUN
globalce-125	128	33	of	of	ADP
globalce-125	128	34	the	the	DET
globalce-125	128	35	experts	expert	NOUN
globalce-125	128	36	.	.	PUNCT
globalce-125	129	1	from	from	ADP
globalce-125	129	2	the	the	DET
globalce-125	129	3	first	first	ADJ
globalce-125	129	4	five	five	NUM
globalce-125	129	5	algorithms	algorithm	NOUN
globalce-125	129	6	,	,	PUNCT
globalce-125	129	7	the	the	DET
globalce-125	129	8	ones	one	NOUN
globalce-125	129	9	using	use	VERB
globalce-125	129	10	more	more	ADJ
globalce-125	129	11	conventional	conventional	ADJ
globalce-125	129	12	strategies	strategy	NOUN
globalce-125	129	13	,	,	PUNCT
globalce-125	129	14	the	the	DET
globalce-125	129	15	rf	rf	NOUN
globalce-125	129	16	-	-	PUNCT
globalce-125	129	17	based	base	VERB
globalce-125	129	18	classifier	classifier	NOUN
globalce-125	129	19	obtains	obtain	VERB
globalce-125	129	20	the	the	DET
globalce-125	129	21	best	good	ADJ
globalce-125	129	22	results	result	NOUN
globalce-125	129	23	.	.	PUNCT
globalce-125	130	1	this	this	PRON
globalce-125	130	2	confirms	confirm	VERB
globalce-125	130	3	the	the	DET
globalce-125	130	4	conclusions	conclusion	NOUN
globalce-125	130	5	that	that	PRON
globalce-125	130	6	were	be	AUX
globalce-125	130	7	reached	reach	VERB
globalce-125	130	8	by	by	ADP
globalce-125	130	9	previous	previous	ADJ
globalce-125	130	10	studies.10,30	studies.10,30	NOUN
globalce-125	130	11	furthermore	furthermore	ADV
globalce-125	130	12	,	,	PUNCT
globalce-125	130	13	svm	svm	PROPN
globalce-125	130	14	,	,	PUNCT
globalce-125	130	15	mlp	mlp	NOUN
globalce-125	130	16	,	,	PUNCT
globalce-125	130	17	and	and	CCONJ
globalce-125	130	18	lda	lda	PROPN
globalce-125	130	19	also	also	ADV
globalce-125	130	20	obtain	obtain	VERB
globalce-125	130	21	satisfactory	satisfactory	ADJ
globalce-125	130	22	results	result	NOUN
globalce-125	130	23	according	accord	VERB
globalce-125	130	24	to	to	ADP
globalce-125	130	25	both	both	DET
globalce-125	130	26	performance	performance	NOUN
globalce-125	130	27	metrics	metric	NOUN
globalce-125	130	28	.	.	PUNCT
globalce-125	131	1	from	from	ADP
globalce-125	131	2	the	the	DET
globalce-125	131	3	two	two	NUM
globalce-125	131	4	last	last	ADJ
globalce-125	131	5	algorithms	algorithm	NOUN
globalce-125	131	6	based	base	VERB
globalce-125	131	7	on	on	ADP
globalce-125	131	8	deep	deep	ADJ
globalce-125	131	9	learning	learning	NOUN
globalce-125	131	10	,	,	PUNCT
globalce-125	131	11	dsn	dsn	PROPN
globalce-125	131	12	reaches	reach	VERB
globalce-125	131	13	superior	superior	ADJ
globalce-125	131	14	results	result	NOUN
globalce-125	131	15	in	in	ADP
globalce-125	131	16	all	all	DET
globalce-125	131	17	metrics	metric	NOUN
globalce-125	131	18	other	other	ADJ
globalce-125	131	19	than	than	ADP
globalce-125	131	20	dfn	dfn	NOUN
globalce-125	131	21	.	.	PUNCT
globalce-125	132	1	however	however	ADV
globalce-125	132	2	,	,	PUNCT
globalce-125	132	3	during	during	ADP
globalce-125	132	4	validation	validation	NOUN
globalce-125	132	5	,	,	PUNCT
globalce-125	132	6	our	our	PRON
globalce-125	132	7	implementation	implementation	NOUN
globalce-125	132	8	of	of	ADP
globalce-125	132	9	dsn	dsn	PROPN
globalce-125	132	10	is	be	AUX
globalce-125	132	11	4	4	NUM
globalce-125	132	12	%	%	NOUN
globalce-125	132	13	lower	low	ADJ
globalce-125	132	14	in	in	ADP
globalce-125	132	15	accuracy	accuracy	NOUN
globalce-125	132	16	and	and	CCONJ
globalce-125	132	17	6	6	NUM
globalce-125	132	18	%	%	NOUN
globalce-125	132	19	lower	low	ADJ
globalce-125	132	20	in	in	ADP
globalce-125	132	21	kappa	kappa	ADJ
globalce-125	132	22	score	score	NOUN
globalce-125	132	23	than	than	ADP
globalce-125	132	24	the	the	DET
globalce-125	132	25	one	one	NOUN
globalce-125	132	26	reported	report	VERB
globalce-125	132	27	by	by	ADP
globalce-125	132	28	supratak	supratak	PROPN
globalce-125	132	29	et	et	PROPN
globalce-125	132	30	al.14	al.14	PROPN
globalce-125	132	31	with	with	ADP
globalce-125	132	32	the	the	DET
globalce-125	132	33	same	same	ADJ
globalce-125	132	34	dataset	dataset	NOUN
globalce-125	132	35	,	,	PUNCT
globalce-125	132	36	but	but	CCONJ
globalce-125	132	37	using	use	VERB
globalce-125	132	38	different	different	ADJ
globalce-125	132	39	hyper	hyper	NOUN
globalce-125	132	40	-	-	NOUN
globalce-125	132	41	parameters	parameter	NOUN
globalce-125	132	42	and	and	CCONJ
globalce-125	132	43	half	half	NOUN
globalce-125	132	44	of	of	ADP
globalce-125	132	45	the	the	DET
globalce-125	132	46	psg	psg	PROPN
globalce-125	132	47	records	record	NOUN
globalce-125	132	48	.	.	PUNCT
globalce-125	133	1	regarding	regard	VERB
globalce-125	133	2	the	the	DET
globalce-125	133	3	traditional	traditional	ADJ
globalce-125	133	4	algorithms	algorithm	NOUN
globalce-125	133	5	,	,	PUNCT
globalce-125	133	6	the	the	DET
globalce-125	133	7	accuracy	accuracy	NOUN
globalce-125	133	8	of	of	ADP
globalce-125	133	9	dsn	dsn	PROPN
globalce-125	133	10	classifying	classify	VERB
globalce-125	133	11	the	the	DET
globalce-125	133	12	test	test	NOUN
globalce-125	133	13	dataset	dataset	NOUN
globalce-125	133	14	is	be	AUX
globalce-125	133	15	equivalent	equivalent	ADJ
globalce-125	133	16	to	to	ADP
globalce-125	133	17	the	the	DET
globalce-125	133	18	accuracy	accuracy	NOUN
globalce-125	133	19	of	of	ADP
globalce-125	133	20	rf	rf	NOUN
globalce-125	133	21	within	within	ADP
globalce-125	133	22	1	1	NUM
globalce-125	133	23	%	%	NOUN
globalce-125	133	24	.	.	PUNCT
globalce-125	134	1	considering	consider	VERB
globalce-125	134	2	that	that	SCONJ
globalce-125	134	3	several	several	ADJ
globalce-125	134	4	of	of	ADP
globalce-125	134	5	the	the	DET
globalce-125	134	6	algorithms	algorithm	NOUN
globalce-125	134	7	reach	reach	VERB
globalce-125	134	8	similar	similar	ADJ
globalce-125	134	9	accuracy	accuracy	NOUN
globalce-125	134	10	levels	level	NOUN
globalce-125	134	11	,	,	PUNCT
globalce-125	134	12	their	their	PRON
globalce-125	134	13	execution	execution	NOUN
globalce-125	134	14	times	time	NOUN
globalce-125	134	15	are	be	AUX
globalce-125	134	16	used	use	VERB
globalce-125	134	17	as	as	ADP
globalce-125	134	18	tie	tie	NOUN
globalce-125	134	19	-	-	PUNCT
globalce-125	134	20	breakers	breaker	NOUN
globalce-125	134	21	.	.	PUNCT
globalce-125	135	1	the	the	DET
globalce-125	135	2	results	result	NOUN
globalce-125	135	3	in	in	ADP
globalce-125	135	4	table	table	NOUN
globalce-125	135	5	6	6	NUM
globalce-125	135	6	prove	prove	VERB
globalce-125	135	7	that	that	SCONJ
globalce-125	135	8	,	,	PUNCT
globalce-125	135	9	from	from	ADP
globalce-125	135	10	the	the	DET
globalce-125	135	11	analyzed	analyze	VERB
globalce-125	135	12	algorithms	algorithm	NOUN
globalce-125	135	13	,	,	PUNCT
globalce-125	135	14	the	the	DET
globalce-125	135	15	ones	one	NOUN
globalce-125	135	16	based	base	VERB
globalce-125	135	17	on	on	ADP
globalce-125	135	18	deep	deep	ADJ
globalce-125	135	19	learning	learning	NOUN
globalce-125	135	20	require	require	VERB
globalce-125	135	21	a	a	DET
globalce-125	135	22	significantly	significantly	ADV
globalce-125	135	23	lower	low	ADJ
globalce-125	135	24	amount	amount	NOUN
globalce-125	135	25	of	of	ADP
globalce-125	135	26	time	time	NOUN
globalce-125	135	27	to	to	PART
globalce-125	135	28	identify	identify	VERB
globalce-125	135	29	the	the	DET
globalce-125	135	30	sleep	sleep	NOUN
globalce-125	135	31	stages	stage	NOUN
globalce-125	135	32	of	of	ADP
globalce-125	135	33	a	a	DET
globalce-125	135	34	psg	psg	NOUN
globalce-125	135	35	record	record	NOUN
globalce-125	135	36	.	.	PUNCT
globalce-125	136	1	conclusions	conclusion	NOUN
globalce-125	136	2	as	as	ADP
globalce-125	136	3	part	part	NOUN
globalce-125	136	4	of	of	ADP
globalce-125	136	5	our	our	PRON
globalce-125	136	6	work	work	NOUN
globalce-125	136	7	,	,	PUNCT
globalce-125	136	8	we	we	PRON
globalce-125	136	9	have	have	AUX
globalce-125	136	10	compared	compare	VERB
globalce-125	136	11	the	the	DET
globalce-125	136	12	performance	performance	NOUN
globalce-125	136	13	of	of	ADP
globalce-125	136	14	a	a	DET
globalce-125	136	15	wide	wide	ADJ
globalce-125	136	16	range	range	NOUN
globalce-125	136	17	of	of	ADP
globalce-125	136	18	sleep	sleep	NOUN
globalce-125	136	19	stage	stage	NOUN
globalce-125	136	20	scoring	score	VERB
globalce-125	136	21	algorithms	algorithm	NOUN
globalce-125	136	22	available	available	ADJ
globalce-125	136	23	in	in	ADP
globalce-125	136	24	the	the	DET
globalce-125	136	25	scientific	scientific	ADJ
globalce-125	136	26	literature	literature	NOUN
globalce-125	136	27	to	to	PART
globalce-125	136	28	find	find	VERB
globalce-125	136	29	the	the	DET
globalce-125	136	30	one	one	NOUN
globalce-125	136	31	that	that	PRON
globalce-125	136	32	better	well	ADJ
globalce-125	136	33	matches	match	VERB
globalce-125	136	34	clinical	clinical	ADJ
globalce-125	136	35	use	use	NOUN
globalce-125	136	36	requirements	requirement	NOUN
globalce-125	136	37	.	.	PUNCT
globalce-125	137	1	with	with	ADP
globalce-125	137	2	that	that	PRON
globalce-125	137	3	in	in	ADP
globalce-125	137	4	mind	mind	NOUN
globalce-125	137	5	,	,	PUNCT
globalce-125	137	6	accuracy	accuracy	NOUN
globalce-125	137	7	and	and	CCONJ
globalce-125	137	8	speed	speed	NOUN
globalce-125	137	9	are	be	AUX
globalce-125	137	10	used	use	VERB
globalce-125	137	11	as	as	ADP
globalce-125	137	12	the	the	DET
globalce-125	137	13	selection	selection	NOUN
globalce-125	137	14	criteria	criterion	NOUN
globalce-125	137	15	for	for	ADP
globalce-125	137	16	the	the	DET
globalce-125	137	17	comparison	comparison	NOUN
globalce-125	137	18	.	.	PUNCT
globalce-125	138	1	the	the	DET
globalce-125	138	2	results	result	NOUN
globalce-125	138	3	prove	prove	VERB
globalce-125	138	4	that	that	SCONJ
globalce-125	138	5	the	the	DET
globalce-125	138	6	rf	rf	NOUN
globalce-125	138	7	,	,	PUNCT
globalce-125	138	8	svm	svm	PROPN
globalce-125	138	9	,	,	PUNCT
globalce-125	138	10	mlp	mlp	NOUN
globalce-125	138	11	,	,	PUNCT
globalce-125	138	12	and	and	CCONJ
globalce-125	138	13	dsn	dsn	PROPN
globalce-125	138	14	algorithms	algorithm	NOUN
globalce-125	138	15	reach	reach	VERB
globalce-125	138	16	the	the	DET
globalce-125	138	17	greater	great	ADJ
globalce-125	138	18	accuracy	accuracy	NOUN
globalce-125	138	19	levels	level	NOUN
globalce-125	138	20	while	while	SCONJ
globalce-125	138	21	classifying	classify	VERB
globalce-125	138	22	,	,	PUNCT
globalce-125	138	23	exceeding	exceed	VERB
globalce-125	138	24	85	85	NUM
globalce-125	138	25	%	%	NOUN
globalce-125	138	26	in	in	ADP
globalce-125	138	27	this	this	DET
globalce-125	138	28	metric	metric	NOUN
globalce-125	138	29	and	and	CCONJ
globalce-125	138	30	0.69	0.69	NUM
globalce-125	138	31	in	in	ADP
globalce-125	138	32	cohen	cohen	PROPN
globalce-125	138	33	’s	’s	PART
globalce-125	138	34	kappa	kappa	PROPN
globalce-125	138	35	.	.	PUNCT
globalce-125	139	1	moreover	moreover	ADV
globalce-125	139	2	,	,	PUNCT
globalce-125	139	3	from	from	ADP
globalce-125	139	4	them	they	PRON
globalce-125	139	5	,	,	PUNCT
globalce-125	139	6	dsn	dsn	PROPN
globalce-125	139	7	is	be	AUX
globalce-125	139	8	significantly	significantly	ADV
globalce-125	139	9	faster	fast	ADV
globalce-125	139	10	,	,	PUNCT
globalce-125	139	11	requiring	require	VERB
globalce-125	139	12	less	less	ADJ
globalce-125	139	13	than	than	ADP
globalce-125	139	14	30	30	NUM
globalce-125	139	15	seconds	second	NOUN
globalce-125	139	16	to	to	PART
globalce-125	139	17	score	score	VERB
globalce-125	139	18	a	a	DET
globalce-125	139	19	record	record	NOUN
globalce-125	139	20	’s	’s	PART
globalce-125	139	21	epochs	epoch	NOUN
globalce-125	139	22	on	on	ADP
globalce-125	139	23	average	average	ADJ
globalce-125	139	24	.	.	PUNCT
globalce-125	140	1	the	the	DET
globalce-125	140	2	combination	combination	NOUN
globalce-125	140	3	of	of	ADP
globalce-125	140	4	both	both	DET
globalce-125	140	5	criteria	criterion	NOUN
globalce-125	140	6	determines	determine	VERB
globalce-125	140	7	that	that	SCONJ
globalce-125	140	8	dsn	dsn	PROPN
globalce-125	140	9	is	be	AUX
globalce-125	140	10	the	the	DET
globalce-125	140	11	most	most	ADV
globalce-125	140	12	appropriate	appropriate	ADJ
globalce-125	140	13	sleep	sleep	NOUN
globalce-125	140	14	stage	stage	NOUN
globalce-125	140	15	scoring	score	VERB
globalce-125	140	16	algorithms	algorithm	NOUN
globalce-125	140	17	for	for	ADP
globalce-125	140	18	the	the	DET
globalce-125	140	19	context	context	NOUN
globalce-125	140	20	of	of	ADP
globalce-125	140	21	the	the	DET
globalce-125	140	22	clinical	clinical	ADJ
globalce-125	140	23	practice	practice	NOUN
globalce-125	140	24	,	,	PUNCT
globalce-125	140	25	from	from	ADP
globalce-125	140	26	the	the	DET
globalce-125	140	27	set	set	NOUN
globalce-125	140	28	of	of	ADP
globalce-125	140	29	candidates	candidate	NOUN
globalce-125	140	30	taken	take	VERB
globalce-125	140	31	into	into	ADP
globalce-125	140	32	consideration	consideration	NOUN
globalce-125	140	33	.	.	PUNCT
globalce-125	141	1	nevertheless	nevertheless	ADV
globalce-125	141	2	,	,	PUNCT
globalce-125	141	3	the	the	DET
globalce-125	141	4	algorithms	algorithm	NOUN
globalce-125	141	5	are	be	AUX
globalce-125	141	6	much	much	ADV
globalce-125	141	7	less	less	ADV
globalce-125	141	8	accurate	accurate	ADJ
globalce-125	141	9	in	in	ADP
globalce-125	141	10	classifying	classify	VERB
globalce-125	141	11	the	the	DET
globalce-125	141	12	n1	n1	ADJ
globalce-125	141	13	stage	stage	NOUN
globalce-125	141	14	,	,	PUNCT
globalce-125	141	15	so	so	CCONJ
globalce-125	141	16	the	the	DET
globalce-125	141	17	experts	expert	NOUN
globalce-125	141	18	should	should	AUX
globalce-125	141	19	review	review	VERB
globalce-125	141	20	the	the	DET
globalce-125	141	21	sleep	sleep	NOUN
globalce-125	141	22	stage	stage	NOUN
globalce-125	141	23	scoring	scoring	NOUN
globalce-125	141	24	performed	perform	VERB
globalce-125	141	25	by	by	ADP
globalce-125	141	26	dsn	dsn	PROPN
globalce-125	141	27	.	.	PUNCT
globalce-125	142	1	references	reference	NOUN
globalce-125	142	2	1	1	NUM
globalce-125	142	3	.	.	PUNCT
globalce-125	143	1	malhotra	malhotra	PROPN
globalce-125	143	2	rk	rk	PROPN
globalce-125	143	3	,	,	PUNCT
globalce-125	143	4	avidan	avidan	PROPN
globalce-125	143	5	ay	ay	PROPN
globalce-125	143	6	.	.	PUNCT
globalce-125	143	7	atlas	atlas	PROPN
globalce-125	143	8	of	of	ADP
globalce-125	143	9	sleep	sleep	NOUN
globalce-125	143	10	medicine	medicine	NOUN
globalce-125	143	11	.	.	PUNCT
globalce-125	144	1	in	in	ADP
globalce-125	144	2	:	:	PUNCT
globalce-125	144	3	2nd	2nd	ADJ
globalce-125	144	4	ed	ed	NOUN
globalce-125	144	5	.	.	PUNCT
globalce-125	144	6	elsevier	elsevier	PROPN
globalce-125	144	7	;	;	PUNCT
globalce-125	144	8	2014	2014	NUM
globalce-125	144	9	.	.	PUNCT
globalce-125	145	1	pp	pp	ADJ
globalce-125	145	2	.	.	PUNCT
globalce-125	146	1	77–99	77–99	NUM
globalce-125	146	2	.	.	PUNCT
globalce-125	147	1	2	2	X
globalce-125	147	2	.	.	X
globalce-125	147	3	daker	daker	NOUN
globalce-125	147	4	-	-	PUNCT
globalce-125	147	5	hopfe	hopfe	PROPN
globalce-125	147	6	h	h	NOUN
globalce-125	147	7	,	,	PUNCT
globalce-125	147	8	anderer	anderer	PROPN
globalce-125	147	9	p	p	NOUN
globalce-125	147	10	,	,	PUNCT
globalce-125	147	11	zeitlhofer	zeitlhofer	PROPN
globalce-125	147	12	j	j	PROPN
globalce-125	147	13	,	,	PUNCT
globalce-125	147	14	boeck	boeck	PROPN
globalce-125	147	15	m	m	PROPN
globalce-125	147	16	,	,	PUNCT
globalce-125	147	17	dorn	dorn	PROPN
globalce-125	147	18	h	h	PROPN
globalce-125	147	19	,	,	PUNCT
globalce-125	147	20	gruber	gruber	PROPN
globalce-125	147	21	g	g	PROPN
globalce-125	147	22	,	,	PUNCT
globalce-125	147	23	et	et	PROPN
globalce-125	147	24	al	al	PROPN
globalce-125	147	25	.	.	PROPN
globalce-125	148	1	interrater	interrater	ADJ
globalce-125	148	2	reliability	reliability	NOUN
globalce-125	148	3	for	for	ADP
globalce-125	148	4	sleep	sleep	NOUN
globalce-125	148	5	scoring	score	VERB
globalce-125	148	6	according	accord	VERB
globalce-125	148	7	to	to	ADP
globalce-125	148	8	the	the	DET
globalce-125	148	9	rechtschaffen	rechtschaffen	NOUN
globalce-125	148	10	&	&	CCONJ
globalce-125	148	11	kales	kale	NOUN
globalce-125	148	12	and	and	CCONJ
globalce-125	148	13	the	the	DET
globalce-125	148	14	new	new	ADJ
globalce-125	148	15	aasm	aasm	NOUN
globalce-125	148	16	standard	standard	NOUN
globalce-125	148	17	.	.	PUNCT
globalce-125	149	1	j	j	PROPN
globalce-125	149	2	sleep	sleep	NOUN
globalce-125	149	3	res	re	NOUN
globalce-125	149	4	.	.	PUNCT
globalce-125	150	1	2009;78–84	2009;78–84	NOUN
globalce-125	150	2	.	.	PUNCT
globalce-125	151	1	https://doi	https://doi	PROPN
globalce-125	151	2	.	.	PUNCT
globalce-125	151	3	org/10.1111	org/10.1111	PROPN
globalce-125	151	4	/	/	SYM
globalce-125	151	5	j.1365	j.1365	NOUN
globalce-125	151	6	-	-	PUNCT
globalce-125	151	7	2869.2008.00700.x	2869.2008.00700.x	NUM
globalce-125	151	8	3	3	NUM
globalce-125	151	9	.	.	PUNCT
globalce-125	151	10	fraiwan	fraiwan	PROPN
globalce-125	151	11	l	l	PROPN
globalce-125	151	12	,	,	PUNCT
globalce-125	151	13	lweesy	lweesy	ADJ
globalce-125	151	14	k	k	NOUN
globalce-125	151	15	,	,	PUNCT
globalce-125	151	16	khasawneh	khasawneh	PROPN
globalce-125	151	17	n	n	CCONJ
globalce-125	151	18	,	,	PUNCT
globalce-125	151	19	fraiwan	fraiwan	PROPN
globalce-125	151	20	m	m	PROPN
globalce-125	151	21	,	,	PUNCT
globalce-125	151	22	wenz	wenz	PROPN
globalce-125	151	23	h	h	PROPN
globalce-125	151	24	,	,	PUNCT
globalce-125	151	25	dickhaus	dickhaus	PROPN
globalce-125	151	26	h.	h.	PROPN
globalce-125	151	27	classification	classification	NOUN
globalce-125	151	28	of	of	ADP
globalce-125	151	29	sleep	sleep	NOUN
globalce-125	151	30	stages	stage	NOUN
globalce-125	151	31	using	use	VERB
globalce-125	151	32	multiwavelet	multiwavelet	PROPN
globalce-125	151	33	time	time	NOUN
globalce-125	151	34	frequency	frequency	PROPN
globalce-125	151	35	entropy	entropy	NOUN
globalce-125	151	36	and	and	CCONJ
globalce-125	151	37	lda	lda	PROPN
globalce-125	151	38	.	.	PUNCT
globalce-125	152	1	methods	method	NOUN
globalce-125	152	2	of	of	ADP
globalce-125	152	3	information	information	NOUN
globalce-125	152	4	in	in	ADP
globalce-125	152	5	medicine	medicine	NOUN
globalce-125	152	6	.	.	PUNCT
globalce-125	153	1	2010	2010	NUM
globalce-125	153	2	jan;49:230–7	jan;49:230–7	NOUN
globalce-125	153	3	.	.	PUNCT
globalce-125	154	1	https://	https://	PROPN
globalce-125	154	2	doi.org/10.3414/me09-01-0054	doi.org/10.3414/me09-01-0054	VERB
globalce-125	154	3	4	4	NUM
globalce-125	154	4	.	.	PUNCT
globalce-125	154	5	ichimaru	ichimaru	PROPN
globalce-125	154	6	y	y	PROPN
globalce-125	154	7	,	,	PUNCT
globalce-125	154	8	moody	moody	PROPN
globalce-125	154	9	gb	gb	NOUN
globalce-125	154	10	.	.	PUNCT
globalce-125	155	1	development	development	NOUN
globalce-125	155	2	of	of	ADP
globalce-125	155	3	the	the	DET
globalce-125	155	4	polysomnographic	polysomnographic	ADJ
globalce-125	155	5	database	database	NOUN
globalce-125	155	6	on	on	ADP
globalce-125	155	7	cd	cd	PROPN
globalce-125	155	8	-	-	PUNCT
globalce-125	155	9	rom	rom	PROPN
globalce-125	155	10	.	.	PUNCT
globalce-125	156	1	psychiatry	psychiatry	NOUN
globalce-125	156	2	and	and	CCONJ
globalce-125	156	3	clinical	clinical	ADJ
globalce-125	156	4	neurosciences	neuroscience	NOUN
globalce-125	156	5	.	.	PUNCT
globalce-125	157	1	1999;53:175–7	1999;53:175–7	NUM
globalce-125	157	2	.	.	PUNCT
globalce-125	158	1	https://doi	https://doi	PROPN
globalce-125	158	2	.	.	PUNCT
globalce-125	158	3	org/10.1046	org/10.1046	PROPN
globalce-125	158	4	/	/	SYM
globalce-125	158	5	j.1440	j.1440	PROPN
globalce-125	158	6	-	-	PUNCT
globalce-125	158	7	1819.1999.00527.x	1819.1999.00527.x	NOUN
globalce-125	158	8	5	5	NUM
globalce-125	158	9	.	.	PUNCT
globalce-125	158	10	goldberger	goldberger	PROPN
globalce-125	158	11	al	al	PROPN
globalce-125	158	12	,	,	PUNCT
globalce-125	158	13	amaral	amaral	PROPN
globalce-125	158	14	lan	lan	PROPN
globalce-125	158	15	,	,	PUNCT
globalce-125	158	16	glass	glass	PROPN
globalce-125	158	17	l	l	NOUN
globalce-125	158	18	,	,	PUNCT
globalce-125	158	19	hausdorff	hausdorff	PROPN
globalce-125	158	20	jm	jm	PROPN
globalce-125	158	21	,	,	PUNCT
globalce-125	158	22	ivanov	ivanov	PROPN
globalce-125	158	23	pc	pc	PROPN
globalce-125	158	24	,	,	PUNCT
globalce-125	158	25	mark	mark	PROPN
globalce-125	158	26	rg	rg	PROPN
globalce-125	158	27	,	,	PUNCT
globalce-125	158	28	et	et	PROPN
globalce-125	158	29	al	al	PROPN
globalce-125	158	30	.	.	PROPN
globalce-125	158	31	physiobank	physiobank	PROPN
globalce-125	158	32	,	,	PUNCT
globalce-125	158	33	physiotoolkit	physiotoolkit	NOUN
globalce-125	158	34	,	,	PUNCT
globalce-125	158	35	and	and	CCONJ
globalce-125	158	36	physionet	physionet	NOUN
globalce-125	158	37	:	:	PUNCT
globalce-125	159	1	components	component	NOUN
globalce-125	159	2	of	of	ADP
globalce-125	159	3	a	a	DET
globalce-125	159	4	new	new	ADJ
globalce-125	159	5	research	research	NOUN
globalce-125	159	6	resource	resource	NOUN
globalce-125	159	7	for	for	ADP
globalce-125	159	8	complex	complex	ADJ
globalce-125	159	9	physiologic	physiologic	ADJ
globalce-125	159	10	signals	signal	NOUN
globalce-125	159	11	.	.	PUNCT
globalce-125	160	1	circulation	circulation	NOUN
globalce-125	160	2	.	.	PUNCT
globalce-125	161	1	2000	2000	NUM
globalce-125	161	2	jun	jun	PROPN
globalce-125	161	3	13;101(23	13;101(23	NOUN
globalce-125	161	4	)	)	PUNCT
globalce-125	161	5	.	.	PUNCT
globalce-125	162	1	https://doi.org/10.1161/01	https://doi.org/10.1161/01	NOUN
globalce-125	162	2	.	.	PUNCT
globalce-125	163	1	cir.101.23.e215	cir.101.23.e215	NOUN
globalce-125	163	2	table	table	NOUN
globalce-125	163	3	6	6	NUM
globalce-125	163	4	.	.	PUNCT
globalce-125	163	5	comparison	comparison	NOUN
globalce-125	163	6	of	of	ADP
globalce-125	163	7	the	the	DET
globalce-125	163	8	execution	execution	NOUN
globalce-125	163	9	time	time	NOUN
globalce-125	163	10	of	of	ADP
globalce-125	163	11	the	the	DET
globalce-125	163	12	algorithms	algorithms	NOUN
globalce-125	163	13	type	type	NOUN
globalce-125	163	14	time	time	NOUN
globalce-125	163	15	extraction	extraction	NOUN
globalce-125	163	16	classification	classification	NOUN
globalce-125	163	17	total	total	NOUN
globalce-125	163	18	average	average	NOUN
globalce-125	163	19	per	per	ADP
globalce-125	163	20	record	record	NOUN
globalce-125	163	21	lda	lda	PROPN
globalce-125	163	22	54758.69	54758.69	NUM
globalce-125	163	23	s	s	PART
globalce-125	163	24	6.08	6.08	NUM
globalce-125	163	25	s	s	NOUN
globalce-125	163	26	54764.77	54764.77	NUM
globalce-125	163	27	s	s	PROPN
globalce-125	163	28	711.23	711.23	NUM
globalce-125	163	29	s	s	NOUN
globalce-125	163	30	nb	nb	NOUN
globalce-125	163	31	54758.69	54758.69	NUM
globalce-125	163	32	s	s	NOUN
globalce-125	163	33	5.07	5.07	NUM
globalce-125	163	34	s	s	NOUN
globalce-125	163	35	54763.76	54763.76	NUM
globalce-125	163	36	s	s	NOUN
globalce-125	163	37	711.22	711.22	NUM
globalce-125	163	38	s	s	PART
globalce-125	163	39	rf	rf	NUM
globalce-125	163	40	54758.69	54758.69	NUM
globalce-125	163	41	s	s	NOUN
globalce-125	163	42	10.97	10.97	NUM
globalce-125	163	43	s	s	PROPN
globalce-125	163	44	54769.66	54769.66	NUM
globalce-125	163	45	s	s	PART
globalce-125	163	46	711.29	711.29	NUM
globalce-125	163	47	s	s	NOUN
globalce-125	163	48	svm	svm	NOUN
globalce-125	163	49	54758.69	54758.69	NUM
globalce-125	163	50	s	s	PART
globalce-125	163	51	1.41	1.41	NUM
globalce-125	163	52	s	s	NOUN
globalce-125	163	53	54760.10	54760.10	NUM
globalce-125	163	54	s	s	PART
globalce-125	163	55	711.17	711.17	NUM
globalce-125	163	56	s	s	PART
globalce-125	163	57	mlp	mlp	NOUN
globalce-125	163	58	54758.69	54758.69	NUM
globalce-125	163	59	s	s	PART
globalce-125	163	60	2.64	2.64	NUM
globalce-125	163	61	s	s	NOUN
globalce-125	163	62	54761.33	54761.33	NUM
globalce-125	163	63	s	s	PART
globalce-125	163	64	711.19	711.19	NUM
globalce-125	163	65	s	s	NOUN
globalce-125	163	66	dfn	dfn	NOUN
globalce-125	163	67	766.55	766.55	NUM
globalce-125	163	68	s	s	NOUN
globalce-125	163	69	9.66	9.66	NUM
globalce-125	163	70	s	s	NOUN
globalce-125	163	71	dsn	dsn	PROPN
globalce-125	163	72	1695.68	1695.68	NUM
globalce-125	163	73	s	s	NOUN
globalce-125	163	74	22.02	22.02	NUM
globalce-125	163	75	s	s	NOUN
globalce-125	163	76	https://doi.org/10.1111/j.1365-2869.2008.00700.x	https://doi.org/10.1111/j.1365-2869.2008.00700.x	NOUN
globalce-125	163	77	https://doi.org/10.1111/j.1365-2869.2008.00700.x	https://doi.org/10.1111/j.1365-2869.2008.00700.x	VERB
globalce-125	164	1	https://doi.org/10.3414/me09-01-0054	https://doi.org/10.3414/me09-01-0054	PROPN
globalce-125	165	1	https://doi.org/10.3414/me09-01-0054	https://doi.org/10.3414/me09-01-0054	INTJ
globalce-125	166	1	https://doi.org/10.1046/j.1440-1819.1999.00527.x	https://doi.org/10.1046/j.1440-1819.1999.00527.x	NOUN
globalce-125	166	2	https://doi.org/10.1046/j.1440-1819.1999.00527.x	https://doi.org/10.1046/j.1440-1819.1999.00527.x	NOUN
globalce-125	166	3	https://doi.org/10.1161/01.cir.101.23.e215	https://doi.org/10.1161/01.cir.101.23.e215	AUX
globalce-125	166	4	https://doi.org/10.1161/01.cir.101.23.e215	https://doi.org/10.1161/01.cir.101.23.e215	PROPN
globalce-125	166	5	j	j	PROPN
globalce-125	166	6	global	global	ADJ
globalce-125	166	7	clinical	clinical	ADJ
globalce-125	166	8	engineering	engineering	NOUN
globalce-125	166	9	vol.5	vol.5	ADJ
globalce-125	166	10	issue	issue	NOUN
globalce-125	166	11	1	1	NUM
globalce-125	166	12	:	:	SYM
globalce-125	166	13	2022	2022	NUM
globalce-125	166	14	16	16	NUM
globalce-125	166	15	labrada	labrada	NOUN
globalce-125	166	16	,	,	PUNCT
globalce-125	166	17	febles	feble	NOUN
globalce-125	166	18	,	,	PUNCT
globalce-125	166	19	antelo	antelo	ADV
globalce-125	166	20	:	:	PUNCT
globalce-125	166	21	comparison	comparison	NOUN
globalce-125	166	22	of	of	ADP
globalce-125	166	23	automatic	automatic	ADJ
globalce-125	166	24	sleep	sleep	NOUN
globalce-125	166	25	stage	stage	NOUN
globalce-125	166	26	classification	classification	NOUN
globalce-125	166	27	methods	method	NOUN
globalce-125	166	28	for	for	ADP
globalce-125	166	29	clinical	clinical	ADJ
globalce-125	166	30	use	use	NOUN
globalce-125	166	31	6	6	NUM
globalce-125	166	32	.	.	PUNCT
globalce-125	167	1	susmakova	susmakova	X
globalce-125	168	1	k	k	NOUN
globalce-125	168	2	,	,	PUNCT
globalce-125	168	3	krakovska	krakovska	ADJ
globalce-125	168	4	a.	a.	NOUN
globalce-125	168	5	discrimination	discrimination	NOUN
globalce-125	168	6	ability	ability	NOUN
globalce-125	168	7	of	of	ADP
globalce-125	168	8	individual	individual	ADJ
globalce-125	168	9	measures	measure	NOUN
globalce-125	168	10	used	use	VERB
globalce-125	168	11	in	in	ADP
globalce-125	168	12	sleep	sleep	NOUN
globalce-125	168	13	stages	stage	NOUN
globalce-125	168	14	classification	classification	NOUN
globalce-125	168	15	.	.	PUNCT
globalce-125	169	1	artificial	artificial	ADJ
globalce-125	169	2	intelligence	intelligence	NOUN
globalce-125	169	3	in	in	ADP
globalce-125	169	4	medicine	medicine	NOUN
globalce-125	169	5	.	.	PUNCT
globalce-125	170	1	2008	2008	NUM
globalce-125	170	2	nov;44(3):261	nov;44(3):261	NUM
globalce-125	170	3	–	–	PUNCT
globalce-125	170	4	77	77	NUM
globalce-125	170	5	.	.	PUNCT
globalce-125	171	1	https://doi.org/10.1016/j.artmed.2008.07.005	https://doi.org/10.1016/j.artmed.2008.07.005	VERB
globalce-125	171	2	7	7	NUM
globalce-125	171	3	.	.	X
globalce-125	171	4	koley	koley	PROPN
globalce-125	171	5	b	b	PROPN
globalce-125	171	6	,	,	PUNCT
globalce-125	171	7	dey	dey	PROPN
globalce-125	171	8	d.	d.	PROPN
globalce-125	171	9	an	an	DET
globalce-125	171	10	ensemble	ensemble	ADJ
globalce-125	171	11	system	system	NOUN
globalce-125	171	12	for	for	ADP
globalce-125	171	13	automatic	automatic	ADJ
globalce-125	171	14	sleep	sleep	NOUN
globalce-125	171	15	stage	stage	NOUN
globalce-125	171	16	classification	classification	NOUN
globalce-125	171	17	using	use	VERB
globalce-125	171	18	single	single	ADJ
globalce-125	171	19	channel	channel	NOUN
globalce-125	171	20	eeg	eeg	NOUN
globalce-125	171	21	signal	signal	NOUN
globalce-125	171	22	.	.	PUNCT
globalce-125	172	1	computers	computer	NOUN
globalce-125	172	2	in	in	ADP
globalce-125	172	3	biology	biology	NOUN
globalce-125	172	4	and	and	CCONJ
globalce-125	172	5	medicine	medicine	NOUN
globalce-125	172	6	.	.	PUNCT
globalce-125	173	1	2012;42(12):1186–95	2012;42(12):1186–95	NUM
globalce-125	173	2	.	.	PUNCT
globalce-125	174	1	https://doi.org/10.1016/j.compbiomed.2012.09.012	https://doi.org/10.1016/j.compbiomed.2012.09.012	ADJ
globalce-125	174	2	8	8	NUM
globalce-125	174	3	.	.	PUNCT
globalce-125	175	1	aboalayon	aboalayon	PROPN
globalce-125	175	2	k	k	NOUN
globalce-125	175	3	,	,	PUNCT
globalce-125	175	4	ocbagabir	ocbagabir	ADJ
globalce-125	175	5	h	h	NOUN
globalce-125	175	6	,	,	PUNCT
globalce-125	175	7	faezipour	faezipour	NOUN
globalce-125	175	8	m.	m.	NOUN
globalce-125	175	9	efficient	efficient	ADJ
globalce-125	175	10	sleep	sleep	NOUN
globalce-125	175	11	stage	stage	NOUN
globalce-125	175	12	classification	classification	NOUN
globalce-125	175	13	based	base	VERB
globalce-125	175	14	on	on	ADP
globalce-125	175	15	eeg	eeg	NOUN
globalce-125	175	16	signals	signal	NOUN
globalce-125	175	17	.	.	PUNCT
globalce-125	176	1	in	in	ADP
globalce-125	176	2	:	:	PUNCT
globalce-125	176	3	applications	application	NOUN
globalce-125	176	4	and	and	CCONJ
globalce-125	176	5	technology	technology	NOUN
globalce-125	176	6	conference	conference	NOUN
globalce-125	176	7	.	.	PUNCT
globalce-125	176	8	2014	2014	NUM
globalce-125	176	9	.	.	PUNCT
globalce-125	177	1	https://doi	https://doi	PROPN
globalce-125	177	2	.	.	PUNCT
globalce-125	177	3	org/10.1109	org/10.1109	PROPN
globalce-125	177	4	/	/	SYM
globalce-125	177	5	lisat.2014.6845193	lisat.2014.6845193	PROPN
globalce-125	177	6	9	9	NUM
globalce-125	177	7	.	.	PUNCT
globalce-125	178	1	kemp	kemp	PROPN
globalce-125	178	2	b	b	PROPN
globalce-125	178	3	,	,	PUNCT
globalce-125	178	4	zwinderman	zwinderman	NOUN
globalce-125	178	5	ah	ah	INTJ
globalce-125	178	6	,	,	PUNCT
globalce-125	178	7	tuk	tuk	PROPN
globalce-125	178	8	b	b	PROPN
globalce-125	178	9	,	,	PUNCT
globalce-125	178	10	kamphuisen	kamphuisen	PROPN
globalce-125	178	11	hac	hac	PROPN
globalce-125	178	12	,	,	PUNCT
globalce-125	178	13	oberye	oberye	PROPN
globalce-125	178	14	jjl	jjl	PROPN
globalce-125	178	15	.	.	PUNCT
globalce-125	179	1	analysis	analysis	NOUN
globalce-125	179	2	of	of	ADP
globalce-125	179	3	a	a	DET
globalce-125	179	4	sleep	sleep	NOUN
globalce-125	179	5	-	-	PUNCT
globalce-125	179	6	dependent	dependent	ADJ
globalce-125	179	7	neuronal	neuronal	ADJ
globalce-125	179	8	feedback	feedback	NOUN
globalce-125	179	9	loop	loop	NOUN
globalce-125	179	10	:	:	PUNCT
globalce-125	179	11	the	the	DET
globalce-125	179	12	slow	slow	ADJ
globalce-125	179	13	-	-	PUNCT
globalce-125	179	14	wave	wave	NOUN
globalce-125	179	15	microcontinuity	microcontinuity	NOUN
globalce-125	179	16	of	of	ADP
globalce-125	179	17	the	the	DET
globalce-125	179	18	eeg	eeg	PROPN
globalce-125	179	19	.	.	PUNCT
globalce-125	180	1	ieee	ieee	NOUN
globalce-125	180	2	transactions	transaction	NOUN
globalce-125	180	3	on	on	ADP
globalce-125	180	4	biomedical	biomedical	ADJ
globalce-125	180	5	engineering	engineering	NOUN
globalce-125	180	6	.	.	PUNCT
globalce-125	181	1	2000;47(9):1185–94	2000;47(9):1185–94	NOUN
globalce-125	181	2	.	.	PUNCT
globalce-125	182	1	https://doi.org/10.1109/10.867928	https://doi.org/10.1109/10.867928	PROPN
globalce-125	182	2	10	10	NUM
globalce-125	182	3	.	.	PUNCT
globalce-125	183	1	sen	sen	PROPN
globalce-125	183	2	b	b	PROPN
globalce-125	183	3	,	,	PUNCT
globalce-125	183	4	peker	peker	PROPN
globalce-125	183	5	m	m	PROPN
globalce-125	183	6	,	,	PUNCT
globalce-125	183	7	cavusoglu	cavusoglu	NOUN
globalce-125	183	8	a	a	PRON
globalce-125	183	9	,	,	PUNCT
globalce-125	183	10	celebi	celebi	NOUN
globalce-125	183	11	fv	fv	NOUN
globalce-125	183	12	.	.	PUNCT
globalce-125	184	1	a	a	DET
globalce-125	184	2	comparative	comparative	ADJ
globalce-125	184	3	study	study	NOUN
globalce-125	184	4	on	on	ADP
globalce-125	184	5	classification	classification	NOUN
globalce-125	184	6	of	of	ADP
globalce-125	184	7	sleep	sleep	NOUN
globalce-125	184	8	stage	stage	NOUN
globalce-125	184	9	based	base	VERB
globalce-125	184	10	on	on	ADP
globalce-125	184	11	eeg	eeg	NOUN
globalce-125	184	12	signals	signal	NOUN
globalce-125	184	13	using	use	VERB
globalce-125	184	14	feature	feature	NOUN
globalce-125	184	15	selection	selection	NOUN
globalce-125	184	16	and	and	CCONJ
globalce-125	184	17	classification	classification	NOUN
globalce-125	184	18	algorithms	algorithm	NOUN
globalce-125	184	19	.	.	PUNCT
globalce-125	185	1	j	j	PROPN
globalce-125	185	2	med	med	PROPN
globalce-125	185	3	syst	syst	PROPN
globalce-125	185	4	.	.	PUNCT
globalce-125	185	5	2014	2014	NUM
globalce-125	185	6	;	;	PUNCT
globalce-125	185	7	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
globalce-125	185	8	s10916	s10916	PROPN
globalce-125	185	9	-	-	PUNCT
globalce-125	185	10	014	014	NUM
globalce-125	185	11	-	-	PUNCT
globalce-125	185	12	0018	0018	NUM
globalce-125	185	13	-	-	SYM
globalce-125	185	14	0	0	NUM
globalce-125	185	15	11	11	NUM
globalce-125	185	16	.	.	PUNCT
globalce-125	186	1	aboalayon	aboalayon	PROPN
globalce-125	186	2	k	k	PROPN
globalce-125	186	3	,	,	PUNCT
globalce-125	186	4	faezipour	faezipour	PROPN
globalce-125	186	5	m	m	PROPN
globalce-125	186	6	,	,	PUNCT
globalce-125	186	7	almuhammadi	almuhammadi	PROPN
globalce-125	186	8	w	w	PROPN
globalce-125	186	9	,	,	PUNCT
globalce-125	186	10	moslehpour	moslehpour	PROPN
globalce-125	186	11	s.	s.	PROPN
globalce-125	186	12	sleep	sleep	PROPN
globalce-125	186	13	stage	stage	NOUN
globalce-125	186	14	classification	classification	NOUN
globalce-125	186	15	using	use	VERB
globalce-125	186	16	eeg	eeg	PROPN
globalce-125	186	17	signal	signal	NOUN
globalce-125	186	18	analysis	analysis	NOUN
globalce-125	186	19	:	:	PUNCT
globalce-125	186	20	a	a	DET
globalce-125	186	21	comprehensive	comprehensive	ADJ
globalce-125	186	22	survey	survey	NOUN
globalce-125	186	23	and	and	CCONJ
globalce-125	186	24	new	new	ADJ
globalce-125	186	25	investigation	investigation	NOUN
globalce-125	186	26	.	.	PUNCT
globalce-125	187	1	entropy	entropy	PROPN
globalce-125	187	2	.	.	PUNCT
globalce-125	188	1	2016	2016	NUM
globalce-125	188	2	aug;18	aug;18	NOUN
globalce-125	188	3	.	.	PUNCT
globalce-125	189	1	https://doi.org/10.3390/e18090272	https://doi.org/10.3390/e18090272	NOUN
globalce-125	189	2	12	12	NUM
globalce-125	189	3	.	.	PUNCT
globalce-125	190	1	zhang	zhang	PROPN
globalce-125	190	2	y	y	PROPN
globalce-125	190	3	,	,	PUNCT
globalce-125	190	4	yang	yang	PROPN
globalce-125	190	5	z	z	PROPN
globalce-125	190	6	,	,	PUNCT
globalce-125	190	7	lan	lan	PROPN
globalce-125	190	8	k	k	PROPN
globalce-125	190	9	,	,	PUNCT
globalce-125	190	10	liu	liu	PROPN
globalce-125	190	11	x	x	PROPN
globalce-125	190	12	,	,	PUNCT
globalce-125	190	13	zhang	zhang	PROPN
globalce-125	190	14	z	z	PROPN
globalce-125	190	15	,	,	PUNCT
globalce-125	190	16	li	li	PROPN
globalce-125	190	17	p	p	PROPN
globalce-125	190	18	,	,	PUNCT
globalce-125	190	19	et	et	PROPN
globalce-125	190	20	al	al	PROPN
globalce-125	190	21	.	.	PROPN
globalce-125	191	1	sleep	sleep	PROPN
globalce-125	191	2	stage	stage	NOUN
globalce-125	191	3	classification	classification	NOUN
globalce-125	191	4	using	use	VERB
globalce-125	191	5	bidirectional	bidirectional	ADJ
globalce-125	191	6	lstm	lstm	NOUN
globalce-125	191	7	in	in	ADP
globalce-125	191	8	wearable	wearable	ADJ
globalce-125	191	9	multi	multi	ADJ
globalce-125	191	10	-	-	ADJ
globalce-125	191	11	sensor	sensor	ADJ
globalce-125	191	12	systems	system	NOUN
globalce-125	191	13	[	[	X
globalce-125	191	14	internet	internet	NOUN
globalce-125	191	15	]	]	PUNCT
globalce-125	191	16	.	.	PUNCT
globalce-125	192	1	2019	2019	NUM
globalce-125	192	2	.	.	PUNCT
globalce-125	193	1	available	available	ADJ
globalce-125	193	2	from	from	ADP
globalce-125	193	3	:	:	PUNCT
globalce-125	193	4	https://arxiv.org/abs/1909.11141	https://arxiv.org/abs/1909.11141	PROPN
globalce-125	193	5	13	13	NUM
globalce-125	193	6	.	.	PUNCT
globalce-125	194	1	yildirim	yildirim	PROPN
globalce-125	194	2	o	o	PROPN
globalce-125	194	3	,	,	PUNCT
globalce-125	194	4	baloglu	baloglu	PROPN
globalce-125	194	5	ub	ub	PROPN
globalce-125	194	6	,	,	PUNCT
globalce-125	194	7	acharya	acharya	PROPN
globalce-125	195	1	ur	ur	VERB
globalce-125	195	2	.	.	PUNCT
globalce-125	196	1	a	a	DET
globalce-125	196	2	deep	deep	ADJ
globalce-125	196	3	learning	learning	NOUN
globalce-125	196	4	model	model	NOUN
globalce-125	196	5	for	for	ADP
globalce-125	196	6	automated	automate	VERB
globalce-125	196	7	sleep	sleep	NOUN
globalce-125	196	8	stages	stage	VERB
globalce-125	196	9	classification	classification	NOUN
globalce-125	196	10	using	use	VERB
globalce-125	196	11	psg	psg	NOUN
globalce-125	196	12	signals	signal	NOUN
globalce-125	196	13	.	.	PUNCT
globalce-125	197	1	int	int	PROPN
globalce-125	198	1	j	j	PROPN
globalce-125	198	2	environ	environ	PROPN
globalce-125	198	3	res	res	PROPN
globalce-125	198	4	public	public	PROPN
globalce-125	198	5	helth	helth	PROPN
globalce-125	198	6	.	.	PUNCT
globalce-125	199	1	2019	2019	NUM
globalce-125	199	2	;	;	PUNCT
globalce-125	199	3	https://doi.org/10.3390/ijerph16040599	https://doi.org/10.3390/ijerph16040599	NOUN
globalce-125	199	4	14	14	NUM
globalce-125	199	5	.	.	PUNCT
globalce-125	200	1	supratak	supratak	PROPN
globalce-125	200	2	a	a	PRON
globalce-125	200	3	,	,	PUNCT
globalce-125	200	4	dong	dong	PROPN
globalce-125	200	5	h	h	PROPN
globalce-125	200	6	,	,	PUNCT
globalce-125	200	7	wu	wu	PROPN
globalce-125	200	8	c	c	PROPN
globalce-125	200	9	,	,	PUNCT
globalce-125	200	10	guo	guo	PROPN
globalce-125	200	11	y.	y.	PROPN
globalce-125	200	12	deepsleepnet	deepsleepnet	PROPN
globalce-125	200	13	:	:	PUNCT
globalce-125	200	14	a	a	DET
globalce-125	200	15	model	model	NOUN
globalce-125	200	16	for	for	ADP
globalce-125	200	17	automatic	automatic	ADJ
globalce-125	200	18	sleep	sleep	NOUN
globalce-125	200	19	stage	stage	NOUN
globalce-125	200	20	scoring	scoring	NOUN
globalce-125	200	21	based	base	VERB
globalce-125	200	22	on	on	ADP
globalce-125	200	23	raw	raw	ADJ
globalce-125	200	24	single	single	ADJ
globalce-125	200	25	-	-	PUNCT
globalce-125	200	26	channel	channel	NOUN
globalce-125	200	27	eeg	eeg	NOUN
globalce-125	200	28	.	.	PUNCT
globalce-125	201	1	ieee	ieee	NOUN
globalce-125	201	2	transactions	transaction	NOUN
globalce-125	201	3	on	on	ADP
globalce-125	201	4	neural	neural	ADJ
globalce-125	201	5	systems	system	NOUN
globalce-125	201	6	and	and	CCONJ
globalce-125	201	7	rehabilitation	rehabilitation	NOUN
globalce-125	201	8	engineering	engineering	NOUN
globalce-125	201	9	.	.	PUNCT
globalce-125	202	1	2017	2017	NUM
globalce-125	202	2	;	;	PUNCT
globalce-125	202	3	https://	https://	PROPN
globalce-125	202	4	doi.org/10.1109/tnsre.2017.2721116	doi.org/10.1109/tnsre.2017.2721116	PROPN
globalce-125	202	5	15	15	NUM
globalce-125	202	6	.	.	PUNCT
globalce-125	203	1	rechstaffen	rechstaffen	VERB
globalce-125	203	2	a	a	PRON
globalce-125	203	3	,	,	PUNCT
globalce-125	203	4	kales	kales	PROPN
globalce-125	203	5	a.	a.	NOUN
globalce-125	203	6	a	a	DET
globalce-125	203	7	manual	manual	NOUN
globalce-125	203	8	of	of	ADP
globalce-125	203	9	standardized	standardized	ADJ
globalce-125	203	10	terminology	terminology	NOUN
globalce-125	203	11	,	,	PUNCT
globalce-125	203	12	techniques	technique	NOUN
globalce-125	203	13	and	and	CCONJ
globalce-125	203	14	scoring	scoring	NOUN
globalce-125	203	15	system	system	NOUN
globalce-125	203	16	for	for	ADP
globalce-125	203	17	sleep	sleep	NOUN
globalce-125	203	18	stages	stage	NOUN
globalce-125	203	19	of	of	ADP
globalce-125	203	20	human	human	ADJ
globalce-125	203	21	subjects	subject	NOUN
globalce-125	203	22	.	.	PUNCT
globalce-125	204	1	in	in	ADP
globalce-125	204	2	:	:	PUNCT
globalce-125	204	3	a	a	DET
globalce-125	204	4	manual	manual	NOUN
globalce-125	204	5	of	of	ADP
globalce-125	204	6	standardized	standardized	ADJ
globalce-125	204	7	terminology	terminology	NOUN
globalce-125	204	8	.	.	PUNCT
globalce-125	205	1	los	los	PROPN
globalce-125	205	2	angeles	angeles	PROPN
globalce-125	205	3	,	,	PUNCT
globalce-125	205	4	california	california	PROPN
globalce-125	205	5	:	:	PUNCT
globalce-125	205	6	university	university	NOUN
globalce-125	205	7	of	of	ADP
globalce-125	205	8	california	california	PROPN
globalce-125	205	9	;	;	PUNCT
globalce-125	205	10	1986	1986	NUM
globalce-125	205	11	.	.	PUNCT
globalce-125	206	1	16	16	NUM
globalce-125	206	2	.	.	PUNCT
globalce-125	207	1	frank	frank	PROPN
globalce-125	207	2	e	e	PROPN
globalce-125	207	3	,	,	PUNCT
globalce-125	207	4	hall	hall	PROPN
globalce-125	207	5	ma	ma	PROPN
globalce-125	207	6	,	,	PUNCT
globalce-125	207	7	holmes	holmes	PROPN
globalce-125	207	8	g	g	PROPN
globalce-125	207	9	,	,	PUNCT
globalce-125	207	10	kirkby	kirkby	NOUN
globalce-125	207	11	r	r	NOUN
globalce-125	207	12	,	,	PUNCT
globalce-125	207	13	pfahringer	pfahringer	NOUN
globalce-125	207	14	b	b	NOUN
globalce-125	207	15	,	,	PUNCT
globalce-125	207	16	witten	witten	PROPN
globalce-125	207	17	ih	ih	PRON
globalce-125	207	18	.	.	PUNCT
globalce-125	208	1	weka	weka	PROPN
globalce-125	208	2	:	:	PUNCT
globalce-125	208	3	a	a	DET
globalce-125	208	4	machine	machine	NOUN
globalce-125	208	5	learning	learn	VERB
globalce-125	208	6	workbench	workbench	NOUN
globalce-125	208	7	for	for	ADP
globalce-125	208	8	data	datum	NOUN
globalce-125	208	9	mining	mining	NOUN
globalce-125	208	10	.	.	PUNCT
globalce-125	209	1	in	in	ADP
globalce-125	209	2	:	:	PUNCT
globalce-125	209	3	data	datum	NOUN
globalce-125	209	4	mining	mining	NOUN
globalce-125	209	5	and	and	CCONJ
globalce-125	209	6	knowledge	knowledge	NOUN
globalce-125	209	7	discovery	discovery	PROPN
globalce-125	209	8	handbook	handbook	PROPN
globalce-125	209	9	:	:	PUNCT
globalce-125	209	10	a	a	DET
globalce-125	209	11	complete	complete	ADJ
globalce-125	209	12	guide	guide	NOUN
globalce-125	209	13	for	for	ADP
globalce-125	209	14	practitioners	practitioner	NOUN
globalce-125	209	15	and	and	CCONJ
globalce-125	209	16	researchers	researcher	NOUN
globalce-125	209	17	[	[	X
globalce-125	209	18	internet	internet	NOUN
globalce-125	209	19	]	]	PUNCT
globalce-125	209	20	.	.	PUNCT
globalce-125	210	1	berlin	berlin	ADJ
globalce-125	210	2	:	:	PUNCT
globalce-125	210	3	springer	springer	NOUN
globalce-125	210	4	;	;	PUNCT
globalce-125	210	5	2005	2005	NUM
globalce-125	210	6	.	.	PUNCT
globalce-125	211	1	pp	pp	ADV
globalce-125	211	2	.	.	PUNCT
globalce-125	212	1	1305–14	1305–14	PROPN
globalce-125	212	2	.	.	PUNCT
globalce-125	213	1	available	available	ADJ
globalce-125	213	2	from	from	ADP
globalce-125	213	3	:	:	PUNCT
globalce-125	213	4	http://researchcommons	http://researchcommon	NOUN
globalce-125	213	5	.	.	PUNCT
globalce-125	214	1	waikato.ac.nz/handle/10289/1497	waikato.ac.nz/handle/10289/1497	NUM
globalce-125	214	2	17	17	NUM
globalce-125	214	3	.	.	PUNCT
globalce-125	215	1	hall	hall	PROPN
globalce-125	215	2	m	m	PROPN
globalce-125	215	3	,	,	PUNCT
globalce-125	215	4	frank	frank	PROPN
globalce-125	215	5	e	e	PROPN
globalce-125	215	6	,	,	PUNCT
globalce-125	215	7	holmes	holmes	PROPN
globalce-125	215	8	g	g	PROPN
globalce-125	215	9	,	,	PUNCT
globalce-125	215	10	pfahringer	pfahringer	NOUN
globalce-125	215	11	b	b	PROPN
globalce-125	215	12	,	,	PUNCT
globalce-125	215	13	reutemann	reutemann	PROPN
globalce-125	215	14	p	p	X
globalce-125	215	15	,	,	PUNCT
globalce-125	215	16	witten	witten	PROPN
globalce-125	215	17	ih	ih	PRON
globalce-125	215	18	.	.	PUNCT
globalce-125	216	1	the	the	DET
globalce-125	216	2	weka	weka	PROPN
globalce-125	216	3	data	data	PROPN
globalce-125	216	4	mining	mining	NOUN
globalce-125	216	5	software	software	NOUN
globalce-125	216	6	:	:	PUNCT
globalce-125	216	7	an	an	DET
globalce-125	216	8	update	update	NOUN
globalce-125	216	9	.	.	PUNCT
globalce-125	217	1	sigkdd	sigkdd	VERB
globalce-125	217	2	explorations	exploration	NOUN
globalce-125	217	3	.	.	PUNCT
globalce-125	218	1	2009;11(1):10–8	2009;11(1):10–8	X
globalce-125	218	2	.	.	PUNCT
globalce-125	219	1	https://doi	https://doi	PROPN
globalce-125	219	2	.	.	PUNCT
globalce-125	220	1	org/10.1145/1656274.1656278	org/10.1145/1656274.1656278	PROPN
globalce-125	220	2	18	18	NUM
globalce-125	220	3	.	.	PUNCT
globalce-125	221	1	sabeti	sabeti	PROPN
globalce-125	221	2	m	m	PROPN
globalce-125	221	3	,	,	PUNCT
globalce-125	221	4	katebi	katebi	PROPN
globalce-125	221	5	s	s	PROPN
globalce-125	221	6	,	,	PUNCT
globalce-125	221	7	boostani	boostani	PROPN
globalce-125	221	8	r.	r.	PROPN
globalce-125	221	9	entropy	entropy	PROPN
globalce-125	221	10	and	and	CCONJ
globalce-125	221	11	complexity	complexity	NOUN
globalce-125	221	12	measures	measure	NOUN
globalce-125	221	13	for	for	ADP
globalce-125	221	14	eeg	eeg	NOUN
globalce-125	221	15	signal	signal	NOUN
globalce-125	221	16	classification	classification	NOUN
globalce-125	221	17	of	of	ADP
globalce-125	221	18	schizophrenic	schizophrenic	ADJ
globalce-125	221	19	and	and	CCONJ
globalce-125	221	20	control	control	VERB
globalce-125	221	21	participants	participant	NOUN
globalce-125	221	22	.	.	PUNCT
globalce-125	222	1	artificial	artificial	ADJ
globalce-125	222	2	intelligence	intelligence	NOUN
globalce-125	222	3	in	in	ADP
globalce-125	222	4	medicine	medicine	NOUN
globalce-125	222	5	.	.	PUNCT
globalce-125	223	1	2009	2009	NUM
globalce-125	223	2	nov;47(3):263–74	nov;47(3):263–74	PROPN
globalce-125	223	3	.	.	PUNCT
globalce-125	224	1	https://doi	https://doi	PROPN
globalce-125	224	2	.	.	PUNCT
globalce-125	225	1	org/10.1016	org/10.1016	PROPN
globalce-125	225	2	/	/	SYM
globalce-125	225	3	j.artmed.2009.03.003	j.artmed.2009.03.003	PROPN
globalce-125	225	4	19	19	NUM
globalce-125	225	5	.	.	PUNCT
globalce-125	225	6	rosenstein	rosenstein	PROPN
globalce-125	225	7	mt	mt	PROPN
globalce-125	225	8	,	,	PUNCT
globalce-125	225	9	collins	collins	PROPN
globalce-125	225	10	jj	jj	PROPN
globalce-125	225	11	,	,	PUNCT
globalce-125	225	12	luca	luca	PROPN
globalce-125	225	13	cjd	cjd	PROPN
globalce-125	225	14	.	.	PUNCT
globalce-125	226	1	a	a	DET
globalce-125	226	2	practical	practical	ADJ
globalce-125	226	3	method	method	NOUN
globalce-125	226	4	for	for	ADP
globalce-125	226	5	calculating	calculate	VERB
globalce-125	226	6	largest	large	ADJ
globalce-125	226	7	lyapunov	lyapunov	ADJ
globalce-125	226	8	exponents	exponent	NOUN
globalce-125	226	9	from	from	ADP
globalce-125	226	10	small	small	ADJ
globalce-125	226	11	data	datum	NOUN
globalce-125	226	12	sets	set	NOUN
globalce-125	226	13	.	.	PUNCT
globalce-125	227	1	physica	physica	NOUN
globalce-125	227	2	d	d	NOUN
globalce-125	227	3	:	:	PUNCT
globalce-125	227	4	nonlinear	nonlinear	ADJ
globalce-125	227	5	phenomena	phenomenon	NOUN
globalce-125	227	6	.	.	PUNCT
globalce-125	228	1	1993	1993	NUM
globalce-125	228	2	jun;65(1	jun;65(1	NOUN
globalce-125	228	3	-	-	PUNCT
globalce-125	228	4	2):117–34	2):117–34	PROPN
globalce-125	228	5	.	.	PUNCT
globalce-125	229	1	https://doi	https://doi	PROPN
globalce-125	229	2	.	.	PUNCT
globalce-125	229	3	org/10.1016/0167	org/10.1016/0167	PROPN
globalce-125	229	4	-	-	PUNCT
globalce-125	229	5	2789(93)90009	2789(93)90009	NUM
globalce-125	229	6	-	-	PUNCT
globalce-125	229	7	p	p	NOUN
globalce-125	229	8	20	20	NUM
globalce-125	229	9	.	.	PUNCT
globalce-125	230	1	phinyomark	phinyomark	PROPN
globalce-125	230	2	a	a	DET
globalce-125	230	3	,	,	PUNCT
globalce-125	230	4	thongpanja	thongpanja	PROPN
globalce-125	230	5	s	s	PROPN
globalce-125	230	6	,	,	PUNCT
globalce-125	230	7	hu	hu	PROPN
globalce-125	230	8	h	h	PROPN
globalce-125	230	9	,	,	PUNCT
globalce-125	230	10	phukpattaranont	phukpattaranont	NOUN
globalce-125	230	11	p	p	NOUN
globalce-125	230	12	,	,	PUNCT
globalce-125	230	13	limsakul	limsakul	PROPN
globalce-125	230	14	c.	c.	PROPN
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globalce-125	230	16	usefullness	usefullness	NOUN
globalce-125	230	17	of	of	ADP
globalce-125	230	18	mean	mean	ADJ
globalce-125	230	19	and	and	CCONJ
globalce-125	230	20	median	median	ADJ
globalce-125	230	21	frequencies	frequency	NOUN
globalce-125	230	22	in	in	ADP
globalce-125	230	23	electromiography	electromiography	NOUN
globalce-125	230	24	analysis	analysis	NOUN
globalce-125	230	25	,	,	PUNCT
globalce-125	230	26	computational	computational	ADJ
globalce-125	230	27	intelligence	intelligence	NOUN
globalce-125	230	28	in	in	ADP
globalce-125	230	29	electromiography	electromiography	NOUN
globalce-125	230	30	analysis	analysis	NOUN
globalce-125	230	31	a	a	DET
globalce-125	230	32	perspective	perspective	NOUN
globalce-125	230	33	on	on	ADP
globalce-125	230	34	current	current	ADJ
globalce-125	230	35	applications	application	NOUN
globalce-125	230	36	and	and	CCONJ
globalce-125	230	37	future	future	ADJ
globalce-125	230	38	challenges	challenge	NOUN
globalce-125	230	39	.	.	PUNCT
globalce-125	231	1	in	in	ADP
globalce-125	231	2	intechopen	intechopen	ADJ
globalce-125	231	3	;	;	PUNCT
globalce-125	231	4	2012	2012	NUM
globalce-125	231	5	.	.	PUNCT
globalce-125	232	1	https://doi.org/10.5772/50639	https://doi.org/10.5772/50639	PROPN
globalce-125	232	2	21	21	NUM
globalce-125	232	3	.	.	PUNCT
globalce-125	233	1	acharya	acharya	PROPN
globalce-125	233	2	r	r	PROPN
globalce-125	233	3	,	,	PUNCT
globalce-125	233	4	chua	chua	PROPN
globalce-125	233	5	ec	ec	PROPN
globalce-125	233	6	-	-	PUNCT
globalce-125	233	7	p	p	PROPN
globalce-125	233	8	,	,	PUNCT
globalce-125	233	9	chua	chua	PROPN
globalce-125	233	10	kc	kc	PROPN
globalce-125	233	11	,	,	PUNCT
globalce-125	233	12	min	min	PROPN
globalce-125	233	13	lc	lc	PROPN
globalce-125	233	14	,	,	PUNCT
globalce-125	233	15	tamura	tamura	NOUN
globalce-125	233	16	t.	t.	NOUN
globalce-125	233	17	analysis	analysis	NOUN
globalce-125	233	18	and	and	CCONJ
globalce-125	233	19	automatic	automatic	ADJ
globalce-125	233	20	identification	identification	NOUN
globalce-125	233	21	of	of	ADP
globalce-125	233	22	sleep	sleep	NOUN
globalce-125	233	23	stages	stage	NOUN
globalce-125	233	24	using	use	VERB
globalce-125	233	25	higher	high	ADJ
globalce-125	233	26	order	order	NOUN
globalce-125	233	27	spectra	spectra	PROPN
globalce-125	233	28	.	.	PUNCT
globalce-125	233	29	international	international	PROPN
globalce-125	233	30	journal	journal	PROPN
globalce-125	233	31	of	of	ADP
globalce-125	233	32	neural	neural	ADJ
globalce-125	233	33	systems	system	NOUN
globalce-125	233	34	.	.	PUNCT
globalce-125	234	1	2010	2010	NUM
globalce-125	234	2	nov;20(6):509–21	nov;20(6):509–21	PROPN
globalce-125	234	3	.	.	PUNCT
globalce-125	235	1	https://doi	https://doi	X
globalce-125	235	2	.	.	PUNCT
globalce-125	235	3	org/10.1142	org/10.1142	PROPN
globalce-125	235	4	/	/	SYM
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globalce-125	235	6	22	22	NUM
globalce-125	235	7	.	.	PUNCT
globalce-125	236	1	stark	stark	PROPN
globalce-125	236	2	h	h	PROPN
globalce-125	236	3	-	-	PUNCT
globalce-125	236	4	g.	g.	NOUN
globalce-125	236	5	wavelets	wavelet	NOUN
globalce-125	236	6	and	and	CCONJ
globalce-125	236	7	signal	signal	VERB
globalce-125	236	8	processing	processing	NOUN
globalce-125	236	9	:	:	PUNCT
globalce-125	236	10	an	an	DET
globalce-125	236	11	application	application	NOUN
globalce-125	236	12	-	-	PUNCT
globalce-125	236	13	based	base	VERB
globalce-125	236	14	introduction	introduction	NOUN
globalce-125	236	15	.	.	PUNCT
globalce-125	237	1	springer	springer	NOUN
globalce-125	237	2	;	;	PUNCT
globalce-125	237	3	2005	2005	NUM
globalce-125	237	4	.	.	PUNCT
globalce-125	238	1	https://	https://	NOUN
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globalce-125	238	3	23	23	NUM
globalce-125	238	4	.	.	PUNCT
globalce-125	239	1	tzimourta	tzimourta	PROPN
globalce-125	239	2	kd	kd	PROPN
globalce-125	239	3	,	,	PUNCT
globalce-125	239	4	tsilimbaris	tsilimbaris	VERB
globalce-125	239	5	a	a	PRON
globalce-125	239	6	,	,	PUNCT
globalce-125	239	7	tzioukalia	tzioukalia	PROPN
globalce-125	239	8	k	k	NOUN
globalce-125	239	9	,	,	PUNCT
globalce-125	239	10	tzallas	tzalla	NOUN
globalce-125	239	11	at	at	ADP
globalce-125	239	12	,	,	PUNCT
globalce-125	239	13	tsipouras	tsipouras	PROPN
globalce-125	239	14	mg	mg	PROPN
globalce-125	239	15	,	,	PUNCT
globalce-125	239	16	astrakas	astrakas	PROPN
globalce-125	239	17	lg	lg	PROPN
globalce-125	239	18	,	,	PUNCT
globalce-125	239	19	et	et	PROPN
globalce-125	239	20	al	al	PROPN
globalce-125	239	21	.	.	PROPN
globalce-125	239	22	eeg	eeg	PROPN
globalce-125	239	23	-	-	PUNCT
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globalce-125	239	26	sleep	sleep	NOUN
globalce-125	239	27	stage	stage	NOUN
globalce-125	239	28	classification	classification	NOUN
globalce-125	239	29	.	.	PUNCT
globalce-125	240	1	biomedical	biomedical	ADJ
globalce-125	240	2	journal	journal	PROPN
globalce-125	240	3	of	of	ADP
globalce-125	240	4	scientific	scientific	PROPN
globalce-125	240	5	&	&	CCONJ
globalce-125	240	6	technical	technical	ADJ
globalce-125	240	7	research	research	NOUN
globalce-125	240	8	.	.	PUNCT
globalce-125	241	1	2018;7(4):6032–7	2018;7(4):6032–7	X
globalce-125	241	2	.	.	PUNCT
globalce-125	242	1	https://	https://	NOUN
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globalce-125	242	4	https://doi.org/10.1016/j.compbiomed.2012.09.012	https://doi.org/10.1016/j.compbiomed.2012.09.012	PRON
globalce-125	242	5	https://doi.org/10.1109/lisat.2014.6845193	https://doi.org/10.1109/lisat.2014.6845193	PROPN
globalce-125	242	6	https://doi.org/10.1109/lisat.2014.6845193	https://doi.org/10.1109/lisat.2014.6845193	PROPN
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globalce-125	242	8	https://doi.org/10.1007/s10916-014-0018-0	https://doi.org/10.1007/s10916-014-0018-0	PROPN
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globalce-125	242	10	https://doi.org/10.3390/e18090272	https://doi.org/10.3390/e18090272	PROPN
globalce-125	242	11	https://arxiv.org/abs/1909.11141	https://arxiv.org/abs/1909.11141	VERB
globalce-125	242	12	https://doi.org/10.3390/ijerph16040599	https://doi.org/10.3390/ijerph16040599	NOUN
globalce-125	243	1	https://doi.org/10.1109/tnsre.2017.2721116	https://doi.org/10.1109/tnsre.2017.2721116	PROPN
globalce-125	243	2	https://doi.org/10.1109/tnsre.2017.2721116	https://doi.org/10.1109/tnsre.2017.2721116	PROPN
globalce-125	243	3	http://researchcommons.waikato.ac.nz/handle/10289/1497	http://researchcommons.waikato.ac.nz/handle/10289/1497	NUM
globalce-125	243	4	http://researchcommons.waikato.ac.nz/handle/10289/1497	http://researchcommons.waikato.ac.nz/handle/10289/1497	NUM
globalce-125	243	5	https://doi.org/10.1145/1656274.1656278	https://doi.org/10.1145/1656274.1656278	NOUN
globalce-125	243	6	https://doi.org/10.1145/1656274.1656278	https://doi.org/10.1145/1656274.1656278	NOUN
globalce-125	243	7	https://doi.org/10.1016/j.artmed.2009.03.003	https://doi.org/10.1016/j.artmed.2009.03.003	NOUN
globalce-125	243	8	https://doi.org/10.1016/j.artmed.2009.03.003	https://doi.org/10.1016/j.artmed.2009.03.003	NOUN
globalce-125	243	9	https://doi.org/10.1016/0167-2789(93)90009-p	https://doi.org/10.1016/0167-2789(93)90009-p	NOUN
globalce-125	243	10	https://doi.org/10.1016/0167-2789(93)90009-p	https://doi.org/10.1016/0167-2789(93)90009-p	NOUN
globalce-125	243	11	https://doi.org/10.5772/50639	https://doi.org/10.5772/50639	NOUN
globalce-125	243	12	https://doi.org/10.1142/s0129065710002589	https://doi.org/10.1142/s0129065710002589	NUM
globalce-125	243	13	https://doi.org/10.1142/s0129065710002589	https://doi.org/10.1142/s0129065710002589	NUM
globalce-125	243	14	https://doi.org/10.1007/3-540-27481-2	https://doi.org/10.1007/3-540-27481-2	PROPN
globalce-125	243	15	https://doi.org/10.1007/3-540-27481-2	https://doi.org/10.1007/3-540-27481-2	PROPN
globalce-125	243	16	https://doi.org/10.26717/bjstr.2018.07.001535	https://doi.org/10.26717/bjstr.2018.07.001535	PROPN
globalce-125	243	17	https://doi.org/10.26717/bjstr.2018.07.001535	https://doi.org/10.26717/bjstr.2018.07.001535	PROPN
globalce-125	243	18	17	17	NUM
globalce-125	243	19	j	j	PROPN
globalce-125	243	20	global	global	ADJ
globalce-125	243	21	clinical	clinical	ADJ
globalce-125	243	22	engineering	engineering	NOUN
globalce-125	243	23	vol.5	vol.5	ADJ
globalce-125	243	24	issue	issue	NOUN
globalce-125	243	25	1	1	NUM
globalce-125	243	26	:	:	SYM
globalce-125	243	27	2022	2022	NUM
globalce-125	243	28	labrada	labrada	NOUN
globalce-125	243	29	,	,	PUNCT
globalce-125	243	30	febles	feble	NOUN
globalce-125	243	31	,	,	PUNCT
globalce-125	243	32	antelo	antelo	ADV
globalce-125	243	33	:	:	PUNCT
globalce-125	243	34	comparison	comparison	NOUN
globalce-125	243	35	of	of	ADP
globalce-125	243	36	automatic	automatic	ADJ
globalce-125	243	37	sleep	sleep	NOUN
globalce-125	243	38	stage	stage	NOUN
globalce-125	243	39	classification	classification	NOUN
globalce-125	243	40	methods	method	NOUN
globalce-125	243	41	for	for	ADP
globalce-125	243	42	clinical	clinical	ADJ
globalce-125	243	43	use	use	NOUN
globalce-125	243	44	24	24	NUM
globalce-125	243	45	.	.	PUNCT
globalce-125	244	1	fraiwan	fraiwan	PROPN
globalce-125	244	2	l	l	PROPN
globalce-125	244	3	,	,	PUNCT
globalce-125	244	4	lweesy	lweesy	ADJ
globalce-125	244	5	k	k	NOUN
globalce-125	244	6	,	,	PUNCT
globalce-125	244	7	khasawneh	khasawneh	PROPN
globalce-125	244	8	n	n	PROPN
globalce-125	244	9	,	,	PUNCT
globalce-125	244	10	wenz	wenz	PROPN
globalce-125	244	11	h	h	PROPN
globalce-125	244	12	,	,	PUNCT
globalce-125	244	13	dickhaus	dickhaus	PROPN
globalce-125	244	14	h.	h.	PROPN
globalce-125	244	15	automated	automate	VERB
globalce-125	244	16	sleep	sleep	NOUN
globalce-125	244	17	stage	stage	NOUN
globalce-125	244	18	identification	identification	NOUN
globalce-125	244	19	system	system	NOUN
globalce-125	244	20	based	base	VERB
globalce-125	244	21	on	on	ADP
globalce-125	244	22	time	time	NOUN
globalce-125	244	23	–	–	PUNCT
globalce-125	244	24	frequency	frequency	NOUN
globalce-125	244	25	analysis	analysis	NOUN
globalce-125	244	26	of	of	ADP
globalce-125	244	27	a	a	DET
globalce-125	244	28	single	single	ADJ
globalce-125	244	29	eeg	eeg	NOUN
globalce-125	244	30	channel	channel	NOUN
globalce-125	244	31	and	and	CCONJ
globalce-125	244	32	random	random	ADJ
globalce-125	244	33	forest	forest	NOUN
globalce-125	244	34	classifier	classifier	NOUN
globalce-125	244	35	.	.	PUNCT
globalce-125	245	1	computer	computer	NOUN
globalce-125	245	2	methods	method	NOUN
globalce-125	245	3	and	and	CCONJ
globalce-125	245	4	programs	program	NOUN
globalce-125	245	5	in	in	ADP
globalce-125	245	6	biomedicine	biomedicine	NOUN
globalce-125	245	7	.	.	PUNCT
globalce-125	246	1	2012;108:10–9	2012;108:10–9	X
globalce-125	246	2	.	.	PUNCT
globalce-125	247	1	https://	https://	PROPN
globalce-125	247	2	doi.org/10.1016/j.cmpb.2011.11.005	doi.org/10.1016/j.cmpb.2011.11.005	VERB
globalce-125	247	3	25	25	NUM
globalce-125	247	4	.	.	PUNCT
globalce-125	248	1	ronzhina	ronzhina	PROPN
globalce-125	248	2	m	m	PROPN
globalce-125	248	3	,	,	PUNCT
globalce-125	248	4	janousek	janousek	PROPN
globalce-125	248	5	o	o	NOUN
globalce-125	248	6	,	,	PUNCT
globalce-125	248	7	kolarova	kolarova	PROPN
globalce-125	248	8	j	j	PROPN
globalce-125	248	9	,	,	PUNCT
globalce-125	248	10	novakova	novakova	PROPN
globalce-125	248	11	m	m	PROPN
globalce-125	248	12	,	,	PUNCT
globalce-125	248	13	honzik	honzik	VERB
globalce-125	248	14	p	p	NOUN
globalce-125	248	15	,	,	PUNCT
globalce-125	248	16	provaznik	provaznik	PROPN
globalce-125	248	17	i.	i.	PROPN
globalce-125	248	18	sleep	sleep	VERB
globalce-125	248	19	scoring	score	VERB
globalce-125	248	20	using	use	VERB
globalce-125	248	21	artificial	artificial	ADJ
globalce-125	248	22	neural	neural	ADJ
globalce-125	248	23	networks	network	NOUN
globalce-125	248	24	.	.	PUNCT
globalce-125	249	1	sleep	sleep	VERB
globalce-125	249	2	medicine	medicine	NOUN
globalce-125	249	3	reviews	review	NOUN
globalce-125	249	4	.	.	PUNCT
globalce-125	250	1	2012;16(3):251–63	2012;16(3):251–63	X
globalce-125	250	2	.	.	PUNCT
globalce-125	250	3	https://doi.org/10.1016/j.smrv.2011.06.003	https://doi.org/10.1016/j.smrv.2011.06.003	NOUN
globalce-125	250	4	26	26	NUM
globalce-125	250	5	.	.	PUNCT
globalce-125	251	1	dong	dong	PROPN
globalce-125	251	2	h	h	PROPN
globalce-125	251	3	,	,	PUNCT
globalce-125	251	4	supratak	supratak	PROPN
globalce-125	251	5	a	a	X
globalce-125	251	6	,	,	PUNCT
globalce-125	251	7	pan	pan	PROPN
globalce-125	251	8	w	w	PROPN
globalce-125	251	9	,	,	PUNCT
globalce-125	251	10	wu	wu	PROPN
globalce-125	251	11	c	c	PROPN
globalce-125	251	12	,	,	PUNCT
globalce-125	251	13	matthews	matthews	PROPN
globalce-125	251	14	pm	pm	PROPN
globalce-125	251	15	,	,	PUNCT
globalce-125	251	16	guo	guo	PROPN
globalce-125	251	17	y.	y.	PROPN
globalce-125	251	18	mixed	mix	VERB
globalce-125	251	19	neural	neural	ADJ
globalce-125	251	20	network	network	NOUN
globalce-125	251	21	approach	approach	NOUN
globalce-125	251	22	for	for	ADP
globalce-125	251	23	temporal	temporal	ADJ
globalce-125	251	24	sleep	sleep	NOUN
globalce-125	251	25	stage	stage	NOUN
globalce-125	251	26	classification	classification	NOUN
globalce-125	251	27	.	.	PUNCT
globalce-125	252	1	ieee	ieee	NOUN
globalce-125	252	2	transactions	transaction	NOUN
globalce-125	252	3	on	on	ADP
globalce-125	252	4	neural	neural	ADJ
globalce-125	252	5	systems	system	NOUN
globalce-125	252	6	and	and	CCONJ
globalce-125	252	7	rehabilitation	rehabilitation	NOUN
globalce-125	252	8	engineering	engineering	NOUN
globalce-125	252	9	.	.	PUNCT
globalce-125	253	1	2018	2018	NUM
globalce-125	253	2	;	;	PUNCT
globalce-125	253	3	https://	https://	PROPN
globalce-125	253	4	doi.org/10.1109/tnsre.2017.2733220	doi.org/10.1109/tnsre.2017.2733220	PROPN
globalce-125	253	5	27	27	NUM
globalce-125	253	6	.	.	PUNCT
globalce-125	254	1	koushik	koushik	PROPN
globalce-125	254	2	a	a	PROPN
globalce-125	254	3	,	,	PUNCT
globalce-125	254	4	amores	amores	PROPN
globalce-125	254	5	j	j	PROPN
globalce-125	254	6	,	,	PUNCT
globalce-125	254	7	maes	maes	PROPN
globalce-125	254	8	p.	p.	PROPN
globalce-125	255	1	real	real	ADJ
globalce-125	255	2	-	-	PUNCT
globalce-125	255	3	time	time	NOUN
globalce-125	255	4	sleep	sleep	NOUN
globalce-125	255	5	staging	stage	VERB
globalce-125	255	6	using	use	VERB
globalce-125	255	7	deep	deep	ADJ
globalce-125	255	8	learning	learning	NOUN
globalce-125	255	9	on	on	ADP
globalce-125	255	10	a	a	DET
globalce-125	255	11	smartphone	smartphone	NOUN
globalce-125	255	12	for	for	ADP
globalce-125	255	13	a	a	DET
globalce-125	255	14	wearable	wearable	ADJ
globalce-125	255	15	eeg	eeg	NOUN
globalce-125	255	16	.	.	PUNCT
globalce-125	256	1	corr	corr	PROPN
globalce-125	257	1	[	[	X
globalce-125	257	2	internet	internet	NOUN
globalce-125	257	3	]	]	PUNCT
globalce-125	257	4	.	.	PUNCT
globalce-125	258	1	2018;abs/1811.10111	2018;abs/1811.10111	NUM
globalce-125	258	2	.	.	PUNCT
globalce-125	258	3	available	available	ADJ
globalce-125	258	4	from	from	ADP
globalce-125	258	5	:	:	PUNCT
globalce-125	258	6	http://arxiv.org/abs/1811.10111	http://arxiv.org/abs/1811.10111	PROPN
globalce-125	258	7	28	28	NUM
globalce-125	258	8	.	.	PUNCT
globalce-125	259	1	mousavi	mousavi	PROPN
globalce-125	259	2	s	s	PROPN
globalce-125	259	3	,	,	PUNCT
globalce-125	259	4	afghah	afghah	PROPN
globalce-125	259	5	f	f	PROPN
globalce-125	259	6	,	,	PUNCT
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globalce-125	259	9	.	.	PROPN
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globalce-125	259	11	:	:	PUNCT
globalce-125	259	12	automated	automate	VERB
globalce-125	259	13	sleep	sleep	NOUN
globalce-125	259	14	stage	stage	NOUN
globalce-125	259	15	scoring	score	VERB
globalce-125	259	16	with	with	ADP
globalce-125	259	17	sequence	sequence	NOUN
globalce-125	259	18	to	to	AUX
globalce-125	259	19	sequence	sequence	NOUN
globalce-125	259	20	deep	deep	ADJ
globalce-125	259	21	learning	learning	NOUN
globalce-125	259	22	approach	approach	NOUN
globalce-125	259	23	.	.	PUNCT
globalce-125	260	1	pławiak	pławiak	PROPN
globalce-125	260	2	p	p	NOUN
globalce-125	260	3	,	,	PUNCT
globalce-125	260	4	editor	editor	NOUN
globalce-125	260	5	.	.	PUNCT
globalce-125	261	1	plos	plos	PROPN
globalce-125	261	2	one	one	NUM
globalce-125	262	1	[	[	X
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globalce-125	262	3	]	]	PUNCT
globalce-125	262	4	.	.	PROPN
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globalce-125	263	2	may;14(5	may;14(5	PROPN
globalce-125	263	3	)	)	PUNCT
globalce-125	263	4	.	.	PUNCT
globalce-125	264	1	available	available	ADJ
globalce-125	264	2	from	from	ADP
globalce-125	264	3	:	:	PUNCT
globalce-125	264	4	http://	http://	PROPN
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globalce-125	264	7	.	.	PUNCT
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globalce-125	265	2	f	f	PROPN
globalce-125	265	3	,	,	PUNCT
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globalce-125	265	5	ss	ss	PROPN
globalce-125	265	6	,	,	PUNCT
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globalce-125	265	8	-	-	PUNCT
globalce-125	265	9	dias	dias	ADJ
globalce-125	265	10	f	f	NOUN
globalce-125	265	11	,	,	PUNCT
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globalce-125	265	13	-	-	PUNCT
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globalce-125	265	15	ag	ag	PROPN
globalce-125	265	16	,	,	PUNCT
globalce-125	265	17	penzel	penzel	ADJ
globalce-125	265	18	t.	t.	PROPN
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globalce-125	265	20	review	review	NOUN
globalce-125	265	21	of	of	ADP
globalce-125	265	22	approaches	approach	NOUN
globalce-125	265	23	for	for	ADP
globalce-125	265	24	sleep	sleep	NOUN
globalce-125	265	25	quality	quality	NOUN
globalce-125	265	26	analysis	analysis	NOUN
globalce-125	265	27	.	.	PUNCT
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globalce-125	266	2	access	access	NOUN
globalce-125	266	3	.	.	PUNCT
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globalce-125	267	2	.	.	PUNCT
globalce-125	268	1	https://doi	https://doi	PROPN
globalce-125	268	2	.	.	PUNCT
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globalce-125	268	4	/	/	SYM
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globalce-125	268	7	.	.	PUNCT
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globalce-125	269	3	,	,	PUNCT
globalce-125	269	4	karimzadeh	karimzadeh	PROPN
globalce-125	269	5	f	f	PROPN
globalce-125	269	6	,	,	PUNCT
globalce-125	269	7	torabi	torabi	NOUN
globalce-125	269	8	-	-	PUNCT
globalce-125	269	9	nami	nami	NOUN
globalce-125	269	10	m.	m.	NOUN
globalce-125	269	11	a	a	DET
globalce-125	269	12	comparative	comparative	ADJ
globalce-125	269	13	review	review	NOUN
globalce-125	269	14	on	on	ADP
globalce-125	269	15	sleep	sleep	NOUN
globalce-125	269	16	stage	stage	NOUN
globalce-125	269	17	classification	classification	NOUN
globalce-125	269	18	methods	method	NOUN
globalce-125	269	19	in	in	ADP
globalce-125	269	20	patients	patient	NOUN
globalce-125	269	21	and	and	CCONJ
globalce-125	269	22	healthy	healthy	ADJ
globalce-125	269	23	individuals	individual	NOUN
globalce-125	269	24	.	.	PUNCT
globalce-125	270	1	hal	hal	PROPN
globalce-125	270	2	.	.	PROPN
globalce-125	270	3	2017	2017	NUM
globalce-125	270	4	mar;140:77–91	mar;140:77–91	PROPN
globalce-125	270	5	.	.	PUNCT
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globalce-125	271	2	https://doi.org/10.1016/j.cmpb.2011.11.005	https://doi.org/10.1016/j.cmpb.2011.11.005	PROPN
globalce-125	271	3	https://doi.org/10.1016/j.cmpb.2011.11.005	https://doi.org/10.1016/j.cmpb.2011.11.005	PROPN
globalce-125	271	4	https://doi.org/10.1016/j.smrv.2011.06.003	https://doi.org/10.1016/j.smrv.2011.06.003	NUM
globalce-125	271	5	https://doi.org/10.1109/tnsre.2017.2733220	https://doi.org/10.1109/tnsre.2017.2733220	PROPN
globalce-125	271	6	https://doi.org/10.1109/tnsre.2017.2733220	https://doi.org/10.1109/tnsre.2017.2733220	PROPN
globalce-125	271	7	http://arxiv.org/abs/1811.10111	http://arxiv.org/abs/1811.10111	NOUN
globalce-125	271	8	http://dx.doi.org/10.1371/journal.pone.0216456	http://dx.doi.org/10.1371/journal.pone.0216456	PROPN
globalce-125	271	9	http://dx.doi.org/10.1371/journal.pone.0216456	http://dx.doi.org/10.1371/journal.pone.0216456	PROPN
globalce-125	271	10	https://doi.org/10.1109/access.2019.2900345	https://doi.org/10.1109/access.2019.2900345	PROPN
globalce-125	271	11	https://doi.org/10.1109/access.2019.2900345	https://doi.org/10.1109/access.2019.2900345	PROPN
globalce-125	271	12	https://doi.org/10.1016/j.cmpb.2016.12.004	https://doi.org/10.1016/j.cmpb.2016.12.004	PROPN