id	sid	tid	token	lemma	pos
fcis-1907	1	1	frontiers	frontier	NOUN
fcis-1907	1	2	in	in	ADP
fcis-1907	1	3	computing	computing	NOUN
fcis-1907	1	4	and	and	CCONJ
fcis-1907	1	5	intelligent	intelligent	ADJ
fcis-1907	1	6	systems	system	NOUN
fcis-1907	1	7	issn	issn	VERB
fcis-1907	1	8	:	:	PUNCT
fcis-1907	1	9	2832	2832	NUM
fcis-1907	1	10	-	-	SYM
fcis-1907	1	11	6024	6024	NUM
fcis-1907	1	12	|	|	NOUN
fcis-1907	1	13	vol	vol	NOUN
fcis-1907	1	14	.	.	PROPN
fcis-1907	2	1	1	1	NUM
fcis-1907	2	2	,	,	PUNCT
fcis-1907	2	3	no	no	INTJ
fcis-1907	2	4	.	.	NOUN
fcis-1907	2	5	3	3	NUM
fcis-1907	2	6	,	,	PUNCT
fcis-1907	2	7	2022	2022	NUM
fcis-1907	2	8	5	5	NUM
fcis-1907	2	9	review	review	NOUN
fcis-1907	2	10	of	of	ADP
fcis-1907	2	11	epileptic	epileptic	ADJ
fcis-1907	2	12	eeg	eeg	NOUN
fcis-1907	2	13	feature	feature	NOUN
fcis-1907	2	14	extraction	extraction	NOUN
fcis-1907	2	15	methods	method	NOUN
fcis-1907	2	16	yongqiang	yongqiang	PROPN
fcis-1907	2	17	yu	yu	PROPN
fcis-1907	2	18	school	school	PROPN
fcis-1907	2	19	of	of	ADP
fcis-1907	2	20	qingdao	qingdao	PROPN
fcis-1907	2	21	university	university	PROPN
fcis-1907	2	22	,	,	PUNCT
fcis-1907	2	23	qingdao	qingdao	PROPN
fcis-1907	2	24	,	,	PUNCT
fcis-1907	2	25	china	china	PROPN
fcis-1907	2	26	.	.	PUNCT
fcis-1907	3	1	abstract	abstract	ADJ
fcis-1907	3	2	:	:	PUNCT
fcis-1907	3	3	epilepsy	epilepsy	PROPN
fcis-1907	3	4	is	be	AUX
fcis-1907	3	5	a	a	DET
fcis-1907	3	6	typical	typical	ADJ
fcis-1907	3	7	non	non	ADJ
fcis-1907	3	8	-	-	ADJ
fcis-1907	3	9	contagious	contagious	ADJ
fcis-1907	3	10	chronic	chronic	ADJ
fcis-1907	3	11	disease	disease	NOUN
fcis-1907	3	12	of	of	ADP
fcis-1907	3	13	the	the	DET
fcis-1907	3	14	brain	brain	NOUN
fcis-1907	3	15	.	.	PUNCT
fcis-1907	4	1	electroencephalogram	electroencephalogram	PROPN
fcis-1907	4	2	(	(	PUNCT
fcis-1907	4	3	eeg	eeg	NOUN
fcis-1907	4	4	)	)	PUNCT
fcis-1907	4	5	is	be	AUX
fcis-1907	4	6	an	an	DET
fcis-1907	4	7	important	important	ADJ
fcis-1907	4	8	tool	tool	NOUN
fcis-1907	4	9	for	for	ADP
fcis-1907	4	10	clinical	clinical	ADJ
fcis-1907	4	11	epilepsy	epilepsy	NOUN
fcis-1907	4	12	diagnosis	diagnosis	NOUN
fcis-1907	4	13	,	,	PUNCT
fcis-1907	4	14	so	so	SCONJ
fcis-1907	4	15	the	the	DET
fcis-1907	4	16	use	use	NOUN
fcis-1907	4	17	of	of	ADP
fcis-1907	4	18	machine	machine	NOUN
fcis-1907	4	19	learning	learning	NOUN
fcis-1907	4	20	and	and	CCONJ
fcis-1907	4	21	deep	deep	ADJ
fcis-1907	4	22	learning	learning	NOUN
fcis-1907	4	23	models	model	NOUN
fcis-1907	4	24	to	to	PART
fcis-1907	4	25	diagnose	diagnose	VERB
fcis-1907	4	26	and	and	CCONJ
fcis-1907	4	27	treat	treat	VERB
fcis-1907	4	28	epilepsy	epilepsy	NOUN
fcis-1907	4	29	has	have	AUX
fcis-1907	4	30	become	become	VERB
fcis-1907	4	31	a	a	DET
fcis-1907	4	32	popular	popular	ADJ
fcis-1907	4	33	method	method	NOUN
fcis-1907	4	34	,	,	PUNCT
fcis-1907	4	35	of	of	ADP
fcis-1907	4	36	which	which	PRON
fcis-1907	4	37	epilepsy	epilepsy	NOUN
fcis-1907	4	38	eeg	eeg	NOUN
fcis-1907	4	39	feature	feature	NOUN
fcis-1907	4	40	extraction	extraction	NOUN
fcis-1907	4	41	is	be	AUX
fcis-1907	4	42	the	the	DET
fcis-1907	4	43	basis	basis	NOUN
fcis-1907	4	44	for	for	ADP
fcis-1907	4	45	establishing	establish	VERB
fcis-1907	4	46	a	a	DET
fcis-1907	4	47	model	model	NOUN
fcis-1907	4	48	.	.	PUNCT
fcis-1907	5	1	in	in	ADP
fcis-1907	5	2	this	this	DET
fcis-1907	5	3	paper	paper	NOUN
fcis-1907	5	4	,	,	PUNCT
fcis-1907	5	5	several	several	ADJ
fcis-1907	5	6	methods	method	NOUN
fcis-1907	5	7	of	of	ADP
fcis-1907	5	8	epilepsy	epilepsy	ADJ
fcis-1907	5	9	eeg	eeg	NOUN
fcis-1907	5	10	feature	feature	NOUN
fcis-1907	5	11	extraction	extraction	NOUN
fcis-1907	5	12	are	be	AUX
fcis-1907	5	13	summarized	summarize	VERB
fcis-1907	5	14	from	from	ADP
fcis-1907	5	15	four	four	NUM
fcis-1907	5	16	aspects	aspect	NOUN
fcis-1907	5	17	:	:	PUNCT
fcis-1907	5	18	time	time	NOUN
fcis-1907	5	19	domain	domain	NOUN
fcis-1907	5	20	analysis	analysis	NOUN
fcis-1907	5	21	,	,	PUNCT
fcis-1907	5	22	frequency	frequency	NOUN
fcis-1907	5	23	domain	domain	NOUN
fcis-1907	5	24	analysis	analysis	NOUN
fcis-1907	5	25	,	,	PUNCT
fcis-1907	5	26	time	time	NOUN
fcis-1907	5	27	frequency	frequency	NOUN
fcis-1907	5	28	analysis	analysis	NOUN
fcis-1907	5	29	and	and	CCONJ
fcis-1907	5	30	nonlinear	nonlinear	ADJ
fcis-1907	5	31	dynamics	dynamic	NOUN
fcis-1907	5	32	,	,	PUNCT
fcis-1907	5	33	and	and	CCONJ
fcis-1907	5	34	each	each	DET
fcis-1907	5	35	method	method	NOUN
fcis-1907	5	36	is	be	AUX
fcis-1907	5	37	systematically	systematically	ADV
fcis-1907	5	38	summarized	summarize	VERB
fcis-1907	5	39	.	.	PUNCT
fcis-1907	6	1	keywords	keyword	NOUN
fcis-1907	6	2	:	:	PUNCT
fcis-1907	6	3	epileptic	epileptic	ADJ
fcis-1907	6	4	eeg	eeg	NOUN
fcis-1907	6	5	;	;	PUNCT
fcis-1907	6	6	feature	feature	NOUN
fcis-1907	6	7	extraction	extraction	NOUN
fcis-1907	6	8	;	;	PUNCT
fcis-1907	6	9	frequency	frequency	NOUN
fcis-1907	6	10	domain	domain	NOUN
fcis-1907	6	11	;	;	PUNCT
fcis-1907	6	12	nonlinear	nonlinear	ADJ
fcis-1907	6	13	mechanics	mechanic	NOUN
fcis-1907	6	14	.	.	PUNCT
fcis-1907	7	1	1	1	X
fcis-1907	7	2	.	.	X
fcis-1907	7	3	introduction	introduction	NOUN
fcis-1907	7	4	eeg	eeg	PROPN
fcis-1907	7	5	signaling	signal	VERB
fcis-1907	7	6	is	be	AUX
fcis-1907	7	7	a	a	DET
fcis-1907	7	8	reflection	reflection	NOUN
fcis-1907	7	9	of	of	ADP
fcis-1907	7	10	the	the	DET
fcis-1907	7	11	overall	overall	ADJ
fcis-1907	7	12	effect	effect	NOUN
fcis-1907	7	13	of	of	ADP
fcis-1907	7	14	electrical	electrical	ADJ
fcis-1907	7	15	activity	activity	NOUN
fcis-1907	7	16	in	in	ADP
fcis-1907	7	17	nerve	nerve	NOUN
fcis-1907	7	18	cells	cell	NOUN
fcis-1907	7	19	in	in	ADP
fcis-1907	7	20	the	the	DET
fcis-1907	7	21	brain	brain	NOUN
fcis-1907	7	22	,	,	PUNCT
fcis-1907	7	23	and	and	CCONJ
fcis-1907	7	24	is	be	AUX
fcis-1907	7	25	a	a	DET
fcis-1907	7	26	kind	kind	NOUN
fcis-1907	7	27	of	of	ADP
fcis-1907	7	28	physiological	physiological	ADJ
fcis-1907	7	29	signal	signal	NOUN
fcis-1907	7	30	.	.	PUNCT
fcis-1907	8	1	eeg	eeg	PROPN
fcis-1907	8	2	is	be	AUX
fcis-1907	8	3	a	a	DET
fcis-1907	8	4	time	time	NOUN
fcis-1907	8	5	-	-	PUNCT
fcis-1907	8	6	varying	vary	VERB
fcis-1907	8	7	,	,	PUNCT
fcis-1907	8	8	non	non	ADJ
fcis-1907	8	9	-	-	ADJ
fcis-1907	8	10	stationary	stationary	ADJ
fcis-1907	8	11	signal	signal	NOUN
fcis-1907	8	12	with	with	ADP
fcis-1907	8	13	a	a	DET
fcis-1907	8	14	very	very	ADV
fcis-1907	8	15	weak	weak	ADJ
fcis-1907	8	16	amplitude	amplitude	NOUN
fcis-1907	8	17	,	,	PUNCT
fcis-1907	8	18	about	about	ADP
fcis-1907	8	19	50uv	50uv	ADJ
fcis-1907	8	20	.	.	PUNCT
fcis-1907	9	1	epilepsy	epilepsy	PROPN
fcis-1907	9	2	is	be	AUX
fcis-1907	9	3	a	a	DET
fcis-1907	9	4	non	non	ADJ
fcis-1907	9	5	-	-	ADJ
fcis-1907	9	6	contagious	contagious	ADJ
fcis-1907	9	7	chronic	chronic	ADJ
fcis-1907	9	8	disease	disease	NOUN
fcis-1907	9	9	of	of	ADP
fcis-1907	9	10	the	the	DET
fcis-1907	9	11	brain	brain	NOUN
fcis-1907	9	12	.	.	PUNCT
fcis-1907	10	1	according	accord	VERB
fcis-1907	10	2	to	to	ADP
fcis-1907	10	3	the	the	DET
fcis-1907	10	4	world	world	PROPN
fcis-1907	10	5	health	health	NOUN
fcis-1907	10	6	organization	organization	NOUN
fcis-1907	10	7	(	(	PUNCT
fcis-1907	10	8	data	datum	NOUN
fcis-1907	10	9	as	as	ADP
fcis-1907	10	10	of	of	ADP
fcis-1907	10	11	february	february	PROPN
fcis-1907	10	12	9	9	NUM
fcis-1907	10	13	,	,	PUNCT
fcis-1907	10	14	2022	2022	NUM
fcis-1907	10	15	)	)	PUNCT
fcis-1907	10	16	,	,	PUNCT
fcis-1907	10	17	epilepsy	epilepsy	NOUN
fcis-1907	10	18	affects	affect	VERB
fcis-1907	10	19	approximately	approximately	ADV
fcis-1907	10	20	65	65	NUM
fcis-1907	10	21	million	million	NUM
fcis-1907	10	22	people	people	NOUN
fcis-1907	10	23	worldwide	worldwide	ADV
fcis-1907	10	24	,	,	PUNCT
fcis-1907	10	25	as	as	ADV
fcis-1907	10	26	many	many	ADJ
fcis-1907	10	27	as	as	ADP
fcis-1907	10	28	10	10	NUM
fcis-1907	10	29	%	%	NOUN
fcis-1907	10	30	of	of	ADP
fcis-1907	10	31	people	people	NOUN
fcis-1907	10	32	experience	experience	VERB
fcis-1907	10	33	at	at	ADV
fcis-1907	10	34	least	least	ADV
fcis-1907	10	35	one	one	NUM
fcis-1907	10	36	seizure	seizure	NOUN
fcis-1907	10	37	in	in	ADP
fcis-1907	10	38	their	their	PRON
fcis-1907	10	39	lifetime	lifetime	NOUN
fcis-1907	10	40	,	,	PUNCT
fcis-1907	10	41	and	and	CCONJ
fcis-1907	10	42	at	at	ADP
fcis-1907	10	43	a	a	DET
fcis-1907	10	44	given	give	VERB
fcis-1907	10	45	time	time	NOUN
fcis-1907	10	46	,	,	PUNCT
fcis-1907	10	47	the	the	DET
fcis-1907	10	48	proportion	proportion	NOUN
fcis-1907	10	49	of	of	ADP
fcis-1907	10	50	the	the	DET
fcis-1907	10	51	general	general	ADJ
fcis-1907	10	52	population	population	NOUN
fcis-1907	10	53	with	with	ADP
fcis-1907	10	54	active	active	ADJ
fcis-1907	10	55	epilepsy	epilepsy	NOUN
fcis-1907	10	56	(	(	PUNCT
fcis-1907	10	57	i.e.	i.e.	X
fcis-1907	10	58	,	,	PUNCT
fcis-1907	10	59	persistent	persistent	ADJ
fcis-1907	10	60	seizures	seizure	NOUN
fcis-1907	10	61	or	or	CCONJ
fcis-1907	10	62	need	need	VERB
fcis-1907	10	63	treatment	treatment	NOUN
fcis-1907	10	64	)	)	PUNCT
fcis-1907	10	65	is	be	AUX
fcis-1907	10	66	estimated	estimate	VERB
fcis-1907	10	67	to	to	PART
fcis-1907	10	68	be	be	AUX
fcis-1907	10	69	4	4	NUM
fcis-1907	10	70	to	to	PART
fcis-1907	10	71	10	10	NUM
fcis-1907	10	72	per	per	ADP
fcis-1907	10	73	1000	1000	NUM
fcis-1907	10	74	people	people	NOUN
fcis-1907	10	75	.	.	PUNCT
fcis-1907	11	1	eeg	eeg	PROPN
fcis-1907	11	2	is	be	AUX
fcis-1907	11	3	one	one	NUM
fcis-1907	11	4	of	of	ADP
fcis-1907	11	5	the	the	DET
fcis-1907	11	6	most	most	ADV
fcis-1907	11	7	important	important	ADJ
fcis-1907	11	8	and	and	CCONJ
fcis-1907	11	9	accurate	accurate	ADJ
fcis-1907	11	10	tests	test	NOUN
fcis-1907	11	11	in	in	ADP
fcis-1907	11	12	the	the	DET
fcis-1907	11	13	field	field	NOUN
fcis-1907	11	14	of	of	ADP
fcis-1907	11	15	epilepsy	epilepsy	ADJ
fcis-1907	11	16	diagnosis	diagnosis	NOUN
fcis-1907	11	17	and	and	CCONJ
fcis-1907	11	18	treatment	treatment	NOUN
fcis-1907	11	19	,	,	PUNCT
fcis-1907	11	20	which	which	PRON
fcis-1907	11	21	can	can	AUX
fcis-1907	11	22	determine	determine	VERB
fcis-1907	11	23	whether	whether	SCONJ
fcis-1907	11	24	the	the	DET
fcis-1907	11	25	patient	patient	NOUN
fcis-1907	11	26	's	's	PART
fcis-1907	11	27	condition	condition	NOUN
fcis-1907	11	28	is	be	AUX
fcis-1907	11	29	a	a	DET
fcis-1907	11	30	seizure	seizure	NOUN
fcis-1907	11	31	through	through	ADP
fcis-1907	11	32	the	the	DET
fcis-1907	11	33	characteristics	characteristic	NOUN
fcis-1907	11	34	of	of	ADP
fcis-1907	11	35	the	the	DET
fcis-1907	11	36	eeg	eeg	NOUN
fcis-1907	11	37	,	,	PUNCT
fcis-1907	11	38	but	but	CCONJ
fcis-1907	11	39	also	also	ADV
fcis-1907	11	40	determine	determine	VERB
fcis-1907	11	41	the	the	DET
fcis-1907	11	42	type	type	NOUN
fcis-1907	11	43	of	of	ADP
fcis-1907	11	44	seizure	seizure	NOUN
fcis-1907	11	45	,	,	PUNCT
fcis-1907	11	46	judge	judge	VERB
fcis-1907	11	47	the	the	DET
fcis-1907	11	48	epilepsy	epilepsy	NOUN
fcis-1907	11	49	syndrome	syndrome	NOUN
fcis-1907	11	50	,	,	PUNCT
fcis-1907	11	51	and	and	CCONJ
fcis-1907	11	52	also	also	ADV
fcis-1907	11	53	help	help	VERB
fcis-1907	11	54	to	to	PART
fcis-1907	11	55	find	find	VERB
fcis-1907	11	56	the	the	DET
fcis-1907	11	57	predisposing	predispose	VERB
fcis-1907	11	58	factors	factor	NOUN
fcis-1907	11	59	of	of	ADP
fcis-1907	11	60	epilepsy	epilepsy	NOUN
fcis-1907	11	61	.	.	PUNCT
fcis-1907	12	1	when	when	SCONJ
fcis-1907	12	2	researchers	researcher	NOUN
fcis-1907	12	3	conduct	conduct	VERB
fcis-1907	12	4	relevant	relevant	ADJ
fcis-1907	12	5	research	research	NOUN
fcis-1907	12	6	on	on	ADP
fcis-1907	12	7	eeg	eeg	PROPN
fcis-1907	12	8	,	,	PUNCT
fcis-1907	12	9	they	they	PRON
fcis-1907	12	10	usually	usually	ADV
fcis-1907	12	11	preprocess	preprocess	VERB
fcis-1907	12	12	it	it	PRON
fcis-1907	12	13	first	first	ADV
fcis-1907	12	14	and	and	CCONJ
fcis-1907	12	15	extract	extract	VERB
fcis-1907	12	16	its	its	PRON
fcis-1907	12	17	features	feature	NOUN
fcis-1907	12	18	for	for	ADP
fcis-1907	12	19	model	model	NOUN
fcis-1907	12	20	training	training	NOUN
fcis-1907	12	21	.	.	PUNCT
fcis-1907	13	1	for	for	ADP
fcis-1907	13	2	eeg	eeg	NOUN
fcis-1907	13	3	signals	signal	NOUN
fcis-1907	13	4	,	,	PUNCT
fcis-1907	13	5	which	which	PRON
fcis-1907	13	6	are	be	AUX
fcis-1907	13	7	physiological	physiological	ADJ
fcis-1907	13	8	time	time	NOUN
fcis-1907	13	9	-	-	PUNCT
fcis-1907	13	10	domain	domain	NOUN
fcis-1907	13	11	signals	signal	NOUN
fcis-1907	13	12	,	,	PUNCT
fcis-1907	13	13	the	the	DET
fcis-1907	13	14	direction	direction	NOUN
fcis-1907	13	15	of	of	ADP
fcis-1907	13	16	extracting	extract	VERB
fcis-1907	13	17	their	their	PRON
fcis-1907	13	18	characteristics	characteristic	NOUN
fcis-1907	13	19	is	be	AUX
fcis-1907	13	20	roughly	roughly	ADV
fcis-1907	13	21	four	four	NUM
fcis-1907	13	22	kinds	kind	NOUN
fcis-1907	13	23	of	of	ADP
fcis-1907	13	24	timedomain	timedomain	ADJ
fcis-1907	13	25	analysis	analysis	NOUN
fcis-1907	13	26	,	,	PUNCT
fcis-1907	13	27	frequency	frequency	NOUN
fcis-1907	13	28	-	-	PUNCT
fcis-1907	13	29	domain	domain	NOUN
fcis-1907	13	30	analysis	analysis	NOUN
fcis-1907	13	31	,	,	PUNCT
fcis-1907	13	32	time	time	NOUN
fcis-1907	13	33	-	-	PUNCT
fcis-1907	13	34	frequency	frequency	NOUN
fcis-1907	13	35	analysis	analysis	NOUN
fcis-1907	13	36	,	,	PUNCT
fcis-1907	13	37	and	and	CCONJ
fcis-1907	13	38	nonlinear	nonlinear	ADJ
fcis-1907	13	39	dynamics	dynamic	NOUN
fcis-1907	13	40	.	.	PUNCT
fcis-1907	14	1	feature	feature	NOUN
fcis-1907	14	2	extraction	extraction	NOUN
fcis-1907	14	3	is	be	AUX
fcis-1907	14	4	part	part	NOUN
fcis-1907	14	5	of	of	ADP
fcis-1907	14	6	feature	feature	NOUN
fcis-1907	14	7	engineering	engineering	NOUN
fcis-1907	14	8	,	,	PUNCT
fcis-1907	14	9	and	and	CCONJ
fcis-1907	14	10	features	feature	NOUN
fcis-1907	14	11	are	be	AUX
fcis-1907	14	12	mined	mine	VERB
fcis-1907	14	13	and	and	CCONJ
fcis-1907	14	14	then	then	ADV
fcis-1907	14	15	put	put	VERB
fcis-1907	14	16	into	into	ADP
fcis-1907	14	17	machine	machine	NOUN
fcis-1907	14	18	learning	learning	NOUN
fcis-1907	14	19	or	or	CCONJ
fcis-1907	14	20	deep	deep	ADJ
fcis-1907	14	21	learning	learning	NOUN
fcis-1907	14	22	classifiers	classifier	NOUN
fcis-1907	14	23	.	.	PUNCT
fcis-1907	15	1	the	the	DET
fcis-1907	15	2	classification	classification	NOUN
fcis-1907	15	3	process	process	NOUN
fcis-1907	15	4	is	be	AUX
fcis-1907	15	5	shown	show	VERB
fcis-1907	15	6	in	in	ADP
fcis-1907	15	7	figure	figure	NOUN
fcis-1907	15	8	1	1	NUM
fcis-1907	15	9	.	.	PUNCT
fcis-1907	15	10	fig	fig	NOUN
fcis-1907	15	11	.	.	PUNCT
fcis-1907	16	1	1	1	NUM
fcis-1907	16	2	classification	classification	NOUN
fcis-1907	16	3	of	of	ADP
fcis-1907	16	4	epileptic	epileptic	ADJ
fcis-1907	16	5	electroencephalogram	electroencephalogram	NOUN
fcis-1907	16	6	2	2	NUM
fcis-1907	16	7	.	.	PUNCT
fcis-1907	16	8	feature	feature	NOUN
fcis-1907	16	9	extraction	extraction	NOUN
fcis-1907	16	10	method	method	NOUN
fcis-1907	16	11	2.1	2.1	NUM
fcis-1907	16	12	.	.	PUNCT
fcis-1907	16	13	time	time	NOUN
fcis-1907	16	14	-	-	PUNCT
fcis-1907	16	15	domain	domain	NOUN
fcis-1907	16	16	analysis	analysis	NOUN
fcis-1907	16	17	eeg	eeg	NOUN
fcis-1907	16	18	signals	signal	NOUN
fcis-1907	16	19	are	be	AUX
fcis-1907	16	20	essentially	essentially	ADV
fcis-1907	16	21	a	a	DET
fcis-1907	16	22	time	time	NOUN
fcis-1907	16	23	-	-	PUNCT
fcis-1907	16	24	series	series	NOUN
fcis-1907	16	25	signal	signal	NOUN
fcis-1907	16	26	,	,	PUNCT
fcis-1907	16	27	and	and	CCONJ
fcis-1907	16	28	time	time	NOUN
fcis-1907	16	29	domain	domain	NOUN
fcis-1907	16	30	analysis	analysis	NOUN
fcis-1907	16	31	focuses	focus	VERB
fcis-1907	16	32	on	on	ADP
fcis-1907	16	33	how	how	SCONJ
fcis-1907	16	34	the	the	DET
fcis-1907	16	35	eeg	eeg	NOUN
fcis-1907	16	36	voltage	voltage	NOUN
fcis-1907	16	37	amplitude	amplitude	NOUN
fcis-1907	16	38	changes	change	NOUN
fcis-1907	16	39	over	over	ADP
fcis-1907	16	40	time	time	NOUN
fcis-1907	16	41	.	.	PUNCT
fcis-1907	17	1	the	the	DET
fcis-1907	17	2	method	method	NOUN
fcis-1907	17	3	of	of	ADP
fcis-1907	17	4	time	time	NOUN
fcis-1907	17	5	domain	domain	NOUN
fcis-1907	17	6	analysis	analysis	NOUN
fcis-1907	17	7	mainly	mainly	ADV
fcis-1907	17	8	extracts	extract	VERB
fcis-1907	17	9	the	the	DET
fcis-1907	17	10	time	time	NOUN
fcis-1907	17	11	domain	domain	NOUN
fcis-1907	17	12	waveform	waveform	VERB
fcis-1907	17	13	characteristics	characteristic	NOUN
fcis-1907	17	14	of	of	ADP
fcis-1907	17	15	the	the	DET
fcis-1907	17	16	signal	signal	NOUN
fcis-1907	17	17	in	in	ADP
fcis-1907	17	18	the	the	DET
fcis-1907	17	19	time	time	NOUN
fcis-1907	17	20	domain	domain	NOUN
fcis-1907	17	21	,	,	PUNCT
fcis-1907	17	22	such	such	ADJ
fcis-1907	17	23	as	as	ADP
fcis-1907	17	24	waveform	waveform	VERB
fcis-1907	17	25	analysis	analysis	NOUN
fcis-1907	17	26	,	,	PUNCT
fcis-1907	17	27	analysis	analysis	NOUN
fcis-1907	17	28	of	of	ADP
fcis-1907	17	29	variance	variance	NOUN
fcis-1907	17	30	,	,	PUNCT
fcis-1907	17	31	amplitude	amplitude	NOUN
fcis-1907	17	32	peak	peak	NOUN
fcis-1907	17	33	detection	detection	NOUN
fcis-1907	17	34	,	,	PUNCT
fcis-1907	17	35	etc	etc	X
fcis-1907	17	36	.	.	X
fcis-1907	17	37	the	the	DET
fcis-1907	17	38	advantage	advantage	NOUN
fcis-1907	17	39	of	of	ADP
fcis-1907	17	40	time	time	NOUN
fcis-1907	17	41	domain	domain	NOUN
fcis-1907	17	42	analysis	analysis	NOUN
fcis-1907	17	43	is	be	AUX
fcis-1907	17	44	that	that	SCONJ
fcis-1907	17	45	the	the	DET
fcis-1907	17	46	physical	physical	ADJ
fcis-1907	17	47	meaning	meaning	NOUN
fcis-1907	17	48	is	be	AUX
fcis-1907	17	49	clear	clear	ADJ
fcis-1907	17	50	,	,	PUNCT
fcis-1907	17	51	with	with	ADP
fcis-1907	17	52	strong	strong	ADJ
fcis-1907	17	53	intuitiveness	intuitiveness	NOUN
fcis-1907	17	54	,	,	PUNCT
fcis-1907	17	55	simple	simple	ADJ
fcis-1907	17	56	and	and	CCONJ
fcis-1907	17	57	fast	fast	ADJ
fcis-1907	17	58	calculation	calculation	NOUN
fcis-1907	17	59	;	;	PUNCT
fcis-1907	17	60	the	the	DET
fcis-1907	17	61	disadvantage	disadvantage	NOUN
fcis-1907	17	62	is	be	AUX
fcis-1907	17	63	that	that	SCONJ
fcis-1907	17	64	time	time	NOUN
fcis-1907	17	65	domain	domain	NOUN
fcis-1907	17	66	analysis	analysis	NOUN
fcis-1907	17	67	is	be	AUX
fcis-1907	17	68	not	not	PART
fcis-1907	17	69	sufficient	sufficient	ADJ
fcis-1907	17	70	to	to	PART
fcis-1907	17	71	fully	fully	ADV
fcis-1907	17	72	reflect	reflect	VERB
fcis-1907	17	73	the	the	DET
fcis-1907	17	74	information	information	NOUN
fcis-1907	17	75	contained	contain	VERB
fcis-1907	17	76	in	in	ADP
fcis-1907	17	77	eeg	eeg	NOUN
fcis-1907	17	78	signals	signal	NOUN
fcis-1907	17	79	.	.	PUNCT
fcis-1907	18	1	in	in	ADP
fcis-1907	18	2	1982	1982	NUM
fcis-1907	18	3	,	,	PUNCT
fcis-1907	18	4	gotman	gotman	NOUN
fcis-1907	18	5	calculated	calculate	VERB
fcis-1907	18	6	and	and	CCONJ
fcis-1907	18	7	extracted	extract	VERB
fcis-1907	18	8	the	the	DET
fcis-1907	18	9	time	time	NOUN
fcis-1907	18	10	domain	domain	NOUN
fcis-1907	18	11	characteristics	characteristic	NOUN
fcis-1907	18	12	such	such	ADJ
fcis-1907	18	13	as	as	ADP
fcis-1907	18	14	peak	peak	NOUN
fcis-1907	18	15	amplitude	amplitude	NOUN
fcis-1907	18	16	,	,	PUNCT
fcis-1907	18	17	mean	mean	VERB
fcis-1907	18	18	duration	duration	NOUN
fcis-1907	18	19	,	,	PUNCT
fcis-1907	18	20	slope	slope	NOUN
fcis-1907	18	21	,	,	PUNCT
fcis-1907	18	22	and	and	CCONJ
fcis-1907	18	23	coefficient	coefficient	NOUN
fcis-1907	18	24	of	of	ADP
fcis-1907	18	25	variation	variation	NOUN
fcis-1907	18	26	of	of	ADP
fcis-1907	18	27	epileptic	epileptic	ADJ
fcis-1907	18	28	eeg	eeg	NOUN
fcis-1907	18	29	,	,	PUNCT
fcis-1907	18	30	and	and	CCONJ
fcis-1907	18	31	proposed	propose	VERB
fcis-1907	18	32	an	an	DET
fcis-1907	18	33	automatic	automatic	ADJ
fcis-1907	18	34	detection	detection	NOUN
fcis-1907	18	35	method	method	NOUN
fcis-1907	18	36	for	for	ADP
fcis-1907	18	37	epileptic	epileptic	ADJ
fcis-1907	18	38	seizures	seizure	NOUN
fcis-1907	18	39	based	base	VERB
fcis-1907	18	40	on	on	ADP
fcis-1907	18	41	eeg	eeg	NOUN
fcis-1907	18	42	signals	signal	NOUN
fcis-1907	18	43	.	.	PUNCT
fcis-1907	19	1	2.2	2.2	NUM
fcis-1907	19	2	.	.	PUNCT
fcis-1907	19	3	frequency	frequency	NOUN
fcis-1907	19	4	-	-	PUNCT
fcis-1907	19	5	domain	domain	NOUN
fcis-1907	19	6	analysis	analysis	NOUN
fcis-1907	19	7	.	.	PUNCT
fcis-1907	20	1	the	the	DET
fcis-1907	20	2	main	main	ADJ
fcis-1907	20	3	idea	idea	NOUN
fcis-1907	20	4	of	of	ADP
fcis-1907	20	5	the	the	DET
fcis-1907	20	6	frequency	frequency	NOUN
fcis-1907	20	7	domain	domain	NOUN
fcis-1907	20	8	analysis	analysis	NOUN
fcis-1907	20	9	method	method	NOUN
fcis-1907	20	10	is	be	AUX
fcis-1907	20	11	to	to	PART
fcis-1907	20	12	convert	convert	VERB
fcis-1907	20	13	the	the	DET
fcis-1907	20	14	eeg	eeg	NOUN
fcis-1907	20	15	signal	signal	NOUN
fcis-1907	20	16	from	from	ADP
fcis-1907	20	17	the	the	DET
fcis-1907	20	18	time	time	NOUN
fcis-1907	20	19	domain	domain	NOUN
fcis-1907	20	20	to	to	ADP
fcis-1907	20	21	the	the	DET
fcis-1907	20	22	frequency	frequency	NOUN
fcis-1907	20	23	domain	domain	NOUN
fcis-1907	20	24	through	through	ADP
fcis-1907	20	25	methods	method	NOUN
fcis-1907	20	26	such	such	ADJ
fcis-1907	20	27	as	as	ADP
fcis-1907	20	28	fourier	fouri	ADJ
fcis-1907	20	29	variation	variation	NOUN
fcis-1907	20	30	,	,	PUNCT
fcis-1907	20	31	and	and	CCONJ
fcis-1907	20	32	extract	extract	VERB
fcis-1907	20	33	the	the	DET
fcis-1907	20	34	frequency	frequency	NOUN
fcis-1907	20	35	domain	domain	NOUN
fcis-1907	20	36	characteristics	characteristic	NOUN
fcis-1907	20	37	.	.	PUNCT
fcis-1907	21	1	after	after	ADP
fcis-1907	21	2	the	the	DET
fcis-1907	21	3	frequency	frequency	NOUN
fcis-1907	21	4	domain	domain	NOUN
fcis-1907	21	5	transformation	transformation	NOUN
fcis-1907	21	6	,	,	PUNCT
fcis-1907	21	7	the	the	DET
fcis-1907	21	8	medical	medical	ADJ
fcis-1907	21	9	community	community	NOUN
fcis-1907	21	10	generally	generally	ADV
fcis-1907	21	11	believes	believe	VERB
fcis-1907	21	12	that	that	SCONJ
fcis-1907	21	13	there	there	PRON
fcis-1907	21	14	are	be	VERB
fcis-1907	21	15	at	at	ADV
fcis-1907	21	16	least	least	ADJ
fcis-1907	21	17	5	5	NUM
fcis-1907	21	18	different	different	ADJ
fcis-1907	21	19	brain	brain	NOUN
fcis-1907	21	20	waves	wave	NOUN
fcis-1907	21	21	in	in	ADP
fcis-1907	21	22	the	the	DET
fcis-1907	21	23	eeg	eeg	NOUN
fcis-1907	21	24	signals	signal	NOUN
fcis-1907	21	25	,	,	PUNCT
fcis-1907	21	26	which	which	PRON
fcis-1907	21	27	are	be	AUX
fcis-1907	21	28	arranged	arrange	VERB
fcis-1907	21	29	in	in	ADP
fcis-1907	21	30	order	order	NOUN
fcis-1907	21	31	of	of	ADP
fcis-1907	21	32	frequency	frequency	NOUN
fcis-1907	21	33	from	from	ADP
fcis-1907	21	34	low	low	ADJ
fcis-1907	21	35	to	to	ADP
fcis-1907	21	36	high	high	ADJ
fcis-1907	21	37	:	:	PUNCT
fcis-1907	21	38	delta(δ	delta(δ	PROPN
fcis-1907	21	39	)	)	PUNCT
fcis-1907	21	40	,	,	PUNCT
fcis-1907	21	41	theta(θ	theta(θ	PROPN
fcis-1907	21	42	)	)	PUNCT
fcis-1907	21	43	,	,	PUNCT
fcis-1907	21	44	alpha(α	alpha(α	ADP
fcis-1907	21	45	)	)	PUNCT
fcis-1907	21	46	,	,	PUNCT
fcis-1907	21	47	beta(β	beta(β	PROPN
fcis-1907	21	48	)	)	PUNCT
fcis-1907	21	49	,	,	PUNCT
fcis-1907	21	50	gamma(γ	gamma(γ	PROPN
fcis-1907	21	51	)	)	PUNCT
fcis-1907	21	52	,	,	PUNCT
fcis-1907	21	53	as	as	SCONJ
fcis-1907	21	54	shown	show	VERB
fcis-1907	21	55	in	in	ADP
fcis-1907	21	56	table	table	NOUN
fcis-1907	21	57	1	1	NUM
fcis-1907	21	58	.	.	PUNCT
fcis-1907	21	59	table	table	NOUN
fcis-1907	21	60	1	1	NUM
fcis-1907	21	61	.	.	PUNCT
fcis-1907	21	62	three	three	NUM
fcis-1907	21	63	scheme	scheme	NOUN
fcis-1907	21	64	comparing	compare	VERB
fcis-1907	21	65	brain	brain	NOUN
fcis-1907	21	66	wave	wave	NOUN
fcis-1907	21	67	frequency	frequency	NOUN
fcis-1907	21	68	(	(	PUNCT
fcis-1907	21	69	hz	hz	PROPN
fcis-1907	21	70	)	)	PUNCT
fcis-1907	21	71	voltage(μv	voltage(μv	NOUN
fcis-1907	21	72	)	)	PUNCT
fcis-1907	21	73	delta(δ	delta(δ	PROPN
fcis-1907	21	74	)	)	PUNCT
fcis-1907	21	75	1	1	NUM
fcis-1907	21	76	-	-	SYM
fcis-1907	21	77	4	4	NUM
fcis-1907	21	78	10	10	NUM
fcis-1907	21	79	-	-	SYM
fcis-1907	21	80	20	20	NUM
fcis-1907	21	81	theta(θ	theta(θ	PROPN
fcis-1907	21	82	)	)	PUNCT
fcis-1907	21	83	4	4	NUM
fcis-1907	21	84	-	-	SYM
fcis-1907	21	85	8	8	NUM
fcis-1907	21	86	20	20	NUM
fcis-1907	21	87	-	-	SYM
fcis-1907	21	88	150	150	NUM
fcis-1907	21	89	alpha(α	alpha(α	NOUN
fcis-1907	21	90	)	)	PUNCT
fcis-1907	21	91	8	8	NUM
fcis-1907	21	92	-	-	SYM
fcis-1907	21	93	12	12	NUM
fcis-1907	21	94	20	20	NUM
fcis-1907	21	95	-	-	SYM
fcis-1907	21	96	100	100	NUM
fcis-1907	21	97	beta(β	beta(β	NOUN
fcis-1907	21	98	)	)	PUNCT
fcis-1907	21	99	12	12	NUM
fcis-1907	21	100	-	-	SYM
fcis-1907	21	101	30	30	NUM
fcis-1907	21	102	5	5	NUM
fcis-1907	21	103	-	-	SYM
fcis-1907	21	104	20	20	NUM
fcis-1907	21	105	gamma(γ	gamma(γ	NOUN
fcis-1907	21	106	)	)	PUNCT
fcis-1907	21	107	30	30	NUM
fcis-1907	21	108	-	-	SYM
fcis-1907	21	109	50	50	NUM
fcis-1907	21	110	<	<	SYM
fcis-1907	21	111	2	2	NUM
fcis-1907	21	112	power	power	NOUN
fcis-1907	21	113	spectrum	spectrum	NOUN
fcis-1907	21	114	analysis	analysis	NOUN
fcis-1907	21	115	is	be	AUX
fcis-1907	21	116	a	a	DET
fcis-1907	21	117	common	common	ADJ
fcis-1907	21	118	frequency	frequency	NOUN
fcis-1907	21	119	domain	domain	NOUN
fcis-1907	21	120	analysis	analysis	NOUN
fcis-1907	21	121	method	method	NOUN
fcis-1907	21	122	,	,	PUNCT
fcis-1907	21	123	the	the	DET
fcis-1907	21	124	main	main	ADJ
fcis-1907	21	125	idea	idea	NOUN
fcis-1907	21	126	is	be	AUX
fcis-1907	21	127	to	to	PART
fcis-1907	21	128	calculate	calculate	VERB
fcis-1907	21	129	the	the	DET
fcis-1907	21	130	energy	energy	NOUN
fcis-1907	21	131	of	of	ADP
fcis-1907	21	132	the	the	DET
fcis-1907	21	133	signal	signal	NOUN
fcis-1907	21	134	in	in	ADP
fcis-1907	21	135	the	the	DET
fcis-1907	21	136	frequency	frequency	NOUN
fcis-1907	21	137	domain	domain	NOUN
fcis-1907	21	138	,	,	PUNCT
fcis-1907	21	139	and	and	CCONJ
fcis-1907	21	140	produce	produce	VERB
fcis-1907	21	141	a	a	DET
fcis-1907	21	142	power	power	NOUN
fcis-1907	21	143	spectrum	spectrum	NOUN
fcis-1907	21	144	that	that	PRON
fcis-1907	21	145	can	can	AUX
fcis-1907	21	146	reflect	reflect	VERB
fcis-1907	21	147	the	the	DET
fcis-1907	21	148	change	change	NOUN
fcis-1907	21	149	of	of	ADP
fcis-1907	21	150	signal	signal	ADJ
fcis-1907	21	151	power	power	NOUN
fcis-1907	21	152	with	with	ADP
fcis-1907	21	153	frequency	frequency	NOUN
fcis-1907	21	154	in	in	ADP
fcis-1907	21	155	the	the	DET
fcis-1907	21	156	unit	unit	NOUN
fcis-1907	21	157	frequency	frequency	NOUN
fcis-1907	21	158	band	band	NOUN
fcis-1907	21	159	.	.	PUNCT
fcis-1907	22	1	the	the	DET
fcis-1907	22	2	periodic	periodic	ADJ
fcis-1907	22	3	graph	graph	NOUN
fcis-1907	22	4	method	method	NOUN
fcis-1907	22	5	is	be	AUX
fcis-1907	22	6	a	a	DET
fcis-1907	22	7	common	common	ADJ
fcis-1907	22	8	way	way	NOUN
fcis-1907	22	9	of	of	ADP
fcis-1907	22	10	calculating	calculate	VERB
fcis-1907	22	11	the	the	DET
fcis-1907	22	12	power	power	NOUN
fcis-1907	22	13	spectral	spectral	ADJ
fcis-1907	22	14	density	density	NOUN
fcis-1907	22	15	,	,	PUNCT
fcis-1907	22	16	and	and	CCONJ
fcis-1907	22	17	the	the	DET
fcis-1907	22	18	calculation	calculation	NOUN
fcis-1907	22	19	formula	formula	NOUN
fcis-1907	22	20	for	for	ADP
fcis-1907	22	21	the	the	DET
fcis-1907	22	22	power	power	NOUN
fcis-1907	22	23	spectral	spectral	PROPN
fcis-1907	22	24	density	density	PROPN
fcis-1907	22	25	𝑃𝑆𝐷(𝑥	𝑃𝑆𝐷(𝑥	NUM
fcis-1907	22	26	)	)	PUNCT
fcis-1907	22	27	of	of	ADP
fcis-1907	22	28	the	the	DET
fcis-1907	22	29	eeg	eeg	PROPN
fcis-1907	22	30	signal	signal	NOUN
fcis-1907	22	31	𝑥(𝑛	𝑥(𝑛	PROPN
fcis-1907	22	32	)	)	PUNCT
fcis-1907	22	33	is	be	AUX
fcis-1907	22	34	𝑃𝑆𝐷(𝑥	𝑃𝑆𝐷(𝑥	NUM
fcis-1907	22	35	)	)	PUNCT
fcis-1907	23	1	=	=	NOUN
fcis-1907	23	2	𝑈2(𝑘)/𝑁	𝑈2(𝑘)/𝑁	NOUN
fcis-1907	23	3	,	,	PUNCT
fcis-1907	23	4	and	and	CCONJ
fcis-1907	23	5	𝑈(𝑘	𝑈(𝑘	NOUN
fcis-1907	23	6	)	)	PUNCT
fcis-1907	23	7	=	=	PUNCT
fcis-1907	23	8	∑	∑	PUNCT
fcis-1907	23	9	𝑥(𝑛)𝑊𝑁	𝑥(𝑛)𝑊𝑁	NUM
fcis-1907	23	10	𝑘𝑛𝑁−1	𝑘𝑛𝑁−1	PROPN
fcis-1907	23	11	𝑛=0	𝑛=0	PROPN
fcis-1907	23	12	,	,	PUNCT
fcis-1907	23	13	𝑁	𝑁	PROPN
fcis-1907	23	14	is	be	AUX
fcis-1907	23	15	the	the	DET
fcis-1907	23	16	period	period	NOUN
fcis-1907	23	17	of	of	ADP
fcis-1907	23	18	𝑈(𝑘	𝑈(𝑘	NOUN
fcis-1907	23	19	)	)	PUNCT
fcis-1907	23	20	,	,	PUNCT
fcis-1907	23	21	and	and	CCONJ
fcis-1907	23	22	𝑊𝑁	𝑊𝑁	PROPN
fcis-1907	23	23	=	=	SYM
fcis-1907	23	24	𝑒−𝑗2𝜋/𝑁	𝑒−𝑗2𝜋/𝑁	PROPN
fcis-1907	23	25	,	,	PUNCT
fcis-1907	23	26	𝑘	𝑘	X
fcis-1907	23	27	=	=	SYM
fcis-1907	23	28	0,1	0,1	NUM
fcis-1907	23	29	,	,	PUNCT
fcis-1907	23	30	…	…	PUNCT
fcis-1907	23	31	,	,	PUNCT
fcis-1907	23	32	𝑁	𝑁	PROPN
fcis-1907	23	33	−	−	NOUN
fcis-1907	23	34	1	1	NUM
fcis-1907	23	35	.	.	PUNCT
fcis-1907	24	1	wagh	wagh	PROPN
fcis-1907	24	2	et	et	PROPN
fcis-1907	24	3	al	al	PROPN
fcis-1907	24	4	.	.	PROPN
fcis-1907	24	5	extracted	extract	VERB
fcis-1907	24	6	the	the	DET
fcis-1907	24	7	power	power	NOUN
fcis-1907	24	8	spectral	spectral	ADJ
fcis-1907	24	9	density	density	NOUN
fcis-1907	24	10	characteristics	characteristic	NOUN
fcis-1907	24	11	of	of	ADP
fcis-1907	24	12	epilepsy	epilepsy	ADJ
fcis-1907	24	13	eeg	eeg	NOUN
fcis-1907	24	14	and	and	CCONJ
fcis-1907	24	15	put	put	VERB
fcis-1907	24	16	it	it	PRON
fcis-1907	24	17	into	into	ADP
fcis-1907	24	18	the	the	DET
fcis-1907	24	19	epilepsy	epilepsy	NOUN
fcis-1907	24	20	eeg	eeg	NOUN
fcis-1907	24	21	automatic	automatic	ADJ
fcis-1907	24	22	classification	classification	NOUN
fcis-1907	24	23	model	model	NOUN
fcis-1907	24	24	based	base	VERB
fcis-1907	24	25	on	on	ADP
fcis-1907	24	26	graph	graph	NOUN
fcis-1907	24	27	convolutional	convolutional	ADJ
fcis-1907	24	28	neural	neural	ADJ
fcis-1907	24	29	network	network	NOUN
fcis-1907	24	30	,	,	PUNCT
fcis-1907	24	31	and	and	CCONJ
fcis-1907	24	32	achieved	achieve	VERB
fcis-1907	24	33	good	good	ADJ
fcis-1907	24	34	results	result	NOUN
fcis-1907	24	35	.	.	PUNCT
fcis-1907	25	1	yunyuan	yunyuan	PROPN
fcis-1907	25	2	gao	gao	PROPN
fcis-1907	25	3	et	et	PROPN
fcis-1907	25	4	al	al	PROPN
fcis-1907	25	5	.	.	PROPN
fcis-1907	25	6	proposed	propose	VERB
fcis-1907	25	7	a	a	DET
fcis-1907	25	8	deep	deep	ADJ
fcis-1907	25	9	learning	learning	NOUN
fcis-1907	25	10	-	-	PUNCT
fcis-1907	25	11	based	base	VERB
fcis-1907	25	12	method	method	NOUN
fcis-1907	25	13	for	for	ADP
fcis-1907	25	14	classifying	classify	VERB
fcis-1907	25	15	epilepsy	epilepsy	NOUN
fcis-1907	25	16	eeg	eeg	NOUN
fcis-1907	25	17	signals	signal	NOUN
fcis-1907	25	18	.	.	PUNCT
fcis-1907	26	1	this	this	DET
fcis-1907	26	2	method	method	NOUN
fcis-1907	26	3	first	first	ADV
fcis-1907	26	4	6	6	NUM
fcis-1907	26	5	converts	convert	NOUN
fcis-1907	26	6	the	the	DET
fcis-1907	26	7	epilepsy	epilepsy	NOUN
fcis-1907	26	8	eeg	eeg	NOUN
fcis-1907	26	9	signal	signal	NOUN
fcis-1907	26	10	into	into	ADP
fcis-1907	26	11	a	a	DET
fcis-1907	26	12	power	power	NOUN
fcis-1907	26	13	spectrum	spectrum	NOUN
fcis-1907	26	14	density	density	NOUN
fcis-1907	26	15	energy	energy	NOUN
fcis-1907	26	16	map	map	NOUN
fcis-1907	26	17	(	(	PUNCT
fcis-1907	26	18	psdes	psde	NOUN
fcis-1907	26	19	)	)	PUNCT
fcis-1907	26	20	,	,	PUNCT
fcis-1907	26	21	then	then	ADV
fcis-1907	26	22	automatically	automatically	ADV
fcis-1907	26	23	extracts	extract	VERB
fcis-1907	26	24	features	feature	NOUN
fcis-1907	26	25	from	from	ADP
fcis-1907	26	26	psdes	psde	NOUN
fcis-1907	26	27	using	use	VERB
fcis-1907	26	28	deep	deep	ADJ
fcis-1907	26	29	convolutional	convolutional	ADJ
fcis-1907	26	30	neural	neural	ADJ
fcis-1907	26	31	networks	network	NOUN
fcis-1907	26	32	and	and	CCONJ
fcis-1907	26	33	transfer	transfer	NOUN
fcis-1907	26	34	learning	learning	NOUN
fcis-1907	26	35	,	,	PUNCT
fcis-1907	26	36	and	and	CCONJ
fcis-1907	26	37	finally	finally	ADV
fcis-1907	26	38	performs	perform	VERB
fcis-1907	26	39	epilepsy	epilepsy	ADJ
fcis-1907	26	40	classification	classification	NOUN
fcis-1907	26	41	.	.	PUNCT
fcis-1907	27	1	2.3	2.3	NUM
fcis-1907	27	2	.	.	PUNCT
fcis-1907	28	1	joint	joint	ADJ
fcis-1907	28	2	time	time	NOUN
fcis-1907	28	3	-	-	PUNCT
fcis-1907	28	4	frequency	frequency	NOUN
fcis-1907	28	5	domain	domain	NOUN
fcis-1907	28	6	analysis	analysis	NOUN
fcis-1907	28	7	.	.	PUNCT
fcis-1907	29	1	eeg	eeg	NOUN
fcis-1907	29	2	signals	signal	NOUN
fcis-1907	29	3	have	have	VERB
fcis-1907	29	4	the	the	DET
fcis-1907	29	5	characteristics	characteristic	NOUN
fcis-1907	29	6	of	of	ADP
fcis-1907	29	7	non	non	ADJ
fcis-1907	29	8	-	-	ADJ
fcis-1907	29	9	stationary	stationary	ADJ
fcis-1907	29	10	and	and	CCONJ
fcis-1907	29	11	randomness	randomness	NOUN
fcis-1907	29	12	,	,	PUNCT
fcis-1907	29	13	and	and	CCONJ
fcis-1907	29	14	the	the	DET
fcis-1907	29	15	fourier	fourier	NOUN
fcis-1907	29	16	transform	transform	NOUN
fcis-1907	29	17	can	can	AUX
fcis-1907	29	18	not	not	PART
fcis-1907	29	19	provide	provide	VERB
fcis-1907	29	20	eeg	eeg	NOUN
fcis-1907	29	21	information	information	NOUN
fcis-1907	29	22	in	in	ADP
fcis-1907	29	23	both	both	CCONJ
fcis-1907	29	24	the	the	DET
fcis-1907	29	25	time	time	NOUN
fcis-1907	29	26	domain	domain	NOUN
fcis-1907	29	27	and	and	CCONJ
fcis-1907	29	28	the	the	DET
fcis-1907	29	29	frequency	frequency	NOUN
fcis-1907	29	30	domain	domain	NOUN
fcis-1907	29	31	,	,	PUNCT
fcis-1907	29	32	so	so	SCONJ
fcis-1907	29	33	the	the	DET
fcis-1907	29	34	application	application	NOUN
fcis-1907	29	35	of	of	ADP
fcis-1907	29	36	frequency	frequency	NOUN
fcis-1907	29	37	domain	domain	NOUN
fcis-1907	29	38	analysis	analysis	NOUN
fcis-1907	29	39	methods	method	NOUN
fcis-1907	29	40	based	base	VERB
fcis-1907	29	41	on	on	ADP
fcis-1907	29	42	the	the	DET
fcis-1907	29	43	fourier	fourier	NOUN
fcis-1907	29	44	transform	transform	NOUN
fcis-1907	29	45	is	be	AUX
fcis-1907	29	46	limited	limited	ADJ
fcis-1907	29	47	.	.	PUNCT
fcis-1907	30	1	to	to	PART
fcis-1907	30	2	address	address	VERB
fcis-1907	30	3	this	this	DET
fcis-1907	30	4	drawback	drawback	NOUN
fcis-1907	30	5	,	,	PUNCT
fcis-1907	30	6	time	time	NOUN
fcis-1907	30	7	-	-	PUNCT
fcis-1907	30	8	frequency	frequency	NOUN
fcis-1907	30	9	analysis	analysis	NOUN
fcis-1907	30	10	was	be	AUX
fcis-1907	30	11	proposed	propose	VERB
fcis-1907	30	12	.	.	PUNCT
fcis-1907	31	1	the	the	DET
fcis-1907	31	2	time	time	NOUN
fcis-1907	31	3	-	-	PUNCT
fcis-1907	31	4	frequency	frequency	NOUN
fcis-1907	31	5	analysis	analysis	NOUN
fcis-1907	31	6	method	method	NOUN
fcis-1907	31	7	can	can	AUX
fcis-1907	31	8	accurately	accurately	ADV
fcis-1907	31	9	reflect	reflect	VERB
fcis-1907	31	10	the	the	DET
fcis-1907	31	11	local	local	ADJ
fcis-1907	31	12	time	time	NOUN
fcis-1907	31	13	-	-	PUNCT
fcis-1907	31	14	varying	vary	VERB
fcis-1907	31	15	frequency	frequency	NOUN
fcis-1907	31	16	characteristics	characteristic	NOUN
fcis-1907	31	17	of	of	ADP
fcis-1907	31	18	the	the	DET
fcis-1907	31	19	signal	signal	NOUN
fcis-1907	31	20	,	,	PUNCT
fcis-1907	31	21	map	map	VERB
fcis-1907	31	22	the	the	DET
fcis-1907	31	23	one	one	NUM
fcis-1907	31	24	-	-	PUNCT
fcis-1907	31	25	dimensional	dimensional	ADJ
fcis-1907	31	26	time	time	NOUN
fcis-1907	31	27	-	-	PUNCT
fcis-1907	31	28	domain	domain	NOUN
fcis-1907	31	29	signal	signal	NOUN
fcis-1907	31	30	to	to	ADP
fcis-1907	31	31	the	the	DET
fcis-1907	31	32	twodimensional	twodimensional	ADJ
fcis-1907	31	33	time	time	NOUN
fcis-1907	31	34	-	-	PUNCT
fcis-1907	31	35	frequency	frequency	NOUN
fcis-1907	31	36	plane	plane	NOUN
fcis-1907	31	37	,	,	PUNCT
fcis-1907	31	38	and	and	CCONJ
fcis-1907	31	39	describe	describe	VERB
fcis-1907	31	40	the	the	DET
fcis-1907	31	41	energy	energy	NOUN
fcis-1907	31	42	density	density	NOUN
fcis-1907	31	43	and	and	CCONJ
fcis-1907	31	44	intensity	intensity	NOUN
fcis-1907	31	45	of	of	ADP
fcis-1907	31	46	the	the	DET
fcis-1907	31	47	signal	signal	NOUN
fcis-1907	31	48	at	at	ADP
fcis-1907	31	49	different	different	ADJ
fcis-1907	31	50	times	time	NOUN
fcis-1907	31	51	and	and	CCONJ
fcis-1907	31	52	frequencies	frequency	NOUN
fcis-1907	31	53	by	by	ADP
fcis-1907	31	54	designing	design	VERB
fcis-1907	31	55	the	the	DET
fcis-1907	31	56	combined	combine	VERB
fcis-1907	31	57	function	function	NOUN
fcis-1907	31	58	of	of	ADP
fcis-1907	31	59	time	time	NOUN
fcis-1907	31	60	and	and	CCONJ
fcis-1907	31	61	frequency	frequency	NOUN
fcis-1907	31	62	.	.	PUNCT
fcis-1907	32	1	common	common	ADJ
fcis-1907	32	2	time	time	NOUN
fcis-1907	32	3	-	-	PUNCT
fcis-1907	32	4	frequency	frequency	NOUN
fcis-1907	32	5	analysis	analysis	NOUN
fcis-1907	32	6	methods	method	NOUN
fcis-1907	32	7	are	be	AUX
fcis-1907	32	8	short	short	ADJ
fcis-1907	32	9	-	-	PUNCT
fcis-1907	32	10	term	term	NOUN
fcis-1907	32	11	fourier	fourier	NOUN
fcis-1907	32	12	transform	transform	NOUN
fcis-1907	32	13	,	,	PUNCT
fcis-1907	32	14	wavelet	wavelet	NOUN
fcis-1907	32	15	variation	variation	NOUN
fcis-1907	32	16	,	,	PUNCT
fcis-1907	32	17	and	and	CCONJ
fcis-1907	32	18	wavelet	wavelet	NOUN
fcis-1907	32	19	packet	packet	NOUN
fcis-1907	32	20	transform	transform	NOUN
fcis-1907	32	21	.	.	PUNCT
fcis-1907	33	1	unlike	unlike	ADP
fcis-1907	33	2	stft	stft	NOUN
fcis-1907	33	3	,	,	PUNCT
fcis-1907	33	4	which	which	PRON
fcis-1907	33	5	natches	natche	VERB
fcis-1907	33	6	by	by	ADP
fcis-1907	33	7	windowing	windowe	VERB
fcis-1907	33	8	the	the	DET
fcis-1907	33	9	fourier	fourier	NOUN
fcis-1907	33	10	transform	transform	NOUN
fcis-1907	33	11	,	,	PUNCT
fcis-1907	33	12	wavelet	wavelet	NOUN
fcis-1907	33	13	analysis	analysis	NOUN
fcis-1907	33	14	directly	directly	ADV
fcis-1907	33	15	replaces	replace	VERB
fcis-1907	33	16	the	the	DET
fcis-1907	33	17	infinitely	infinitely	ADV
fcis-1907	33	18	long	long	ADJ
fcis-1907	33	19	trigonometric	trigonometric	ADJ
fcis-1907	33	20	function	function	NOUN
fcis-1907	33	21	basis	basis	NOUN
fcis-1907	33	22	of	of	ADP
fcis-1907	33	23	the	the	DET
fcis-1907	33	24	fourier	fourier	NOUN
fcis-1907	33	25	transform	transform	NOUN
fcis-1907	33	26	with	with	ADP
fcis-1907	33	27	a	a	DET
fcis-1907	33	28	finitely	finitely	ADV
fcis-1907	33	29	long	long	ADJ
fcis-1907	33	30	wavelet	wavelet	NOUN
fcis-1907	33	31	basis	basis	NOUN
fcis-1907	33	32	function	function	NOUN
fcis-1907	33	33	that	that	PRON
fcis-1907	33	34	decays	decay	VERB
fcis-1907	33	35	with	with	ADP
fcis-1907	33	36	frequency	frequency	NOUN
fcis-1907	33	37	,	,	PUNCT
fcis-1907	33	38	transforming	transform	VERB
fcis-1907	33	39	the	the	DET
fcis-1907	33	40	original	original	ADJ
fcis-1907	33	41	function	function	NOUN
fcis-1907	33	42	or	or	CCONJ
fcis-1907	33	43	signal	signal	NOUN
fcis-1907	33	44	from	from	ADP
fcis-1907	33	45	function	function	NOUN
fcis-1907	33	46	space	space	NOUN
fcis-1907	33	47	to	to	PART
fcis-1907	33	48	scale	scale	VERB
fcis-1907	33	49	and	and	CCONJ
fcis-1907	33	50	displacement	displacement	ADJ
fcis-1907	33	51	space	space	NOUN
fcis-1907	33	52	.	.	PUNCT
fcis-1907	34	1	the	the	DET
fcis-1907	34	2	discrete	discrete	ADJ
fcis-1907	34	3	wavelet	wavelet	NOUN
fcis-1907	34	4	transforms	transform	VERB
fcis-1907	34	5	of	of	ADP
fcis-1907	34	6	signal	signal	NOUN
fcis-1907	34	7	a	a	PRON
fcis-1907	34	8	can	can	AUX
fcis-1907	34	9	be	be	AUX
fcis-1907	34	10	defined	define	VERB
fcis-1907	34	11	as	as	ADP
fcis-1907	34	12	:	:	PUNCT
fcis-1907	34	13	𝑊𝑇𝑓(𝑗	𝑊𝑇𝑓(𝑗	PROPN
fcis-1907	34	14	,	,	PUNCT
fcis-1907	34	15	𝑘	𝑘	NOUN
fcis-1907	34	16	)	)	PUNCT
fcis-1907	34	17	=	=	SYM
fcis-1907	34	18	𝐶𝑊𝑇(2−𝑗	𝐶𝑊𝑇(2−𝑗	PROPN
fcis-1907	34	19	,	,	PUNCT
fcis-1907	34	20	𝑘2−𝑗	𝑘2−𝑗	PROPN
fcis-1907	34	21	)	)	PUNCT
fcis-1907	34	22	=	=	SYM
fcis-1907	35	1	∫	∫	PROPN
fcis-1907	35	2	𝑓(𝑡	𝑓(𝑡	PROPN
fcis-1907	35	3	)	)	PUNCT
fcis-1907	35	4	∗	∗	NOUN
fcis-1907	35	5	2	2	NUM
fcis-1907	36	1	𝑗	𝑗	NOUN
fcis-1907	36	2	2𝜓(2𝑗𝑡	2𝜓(2𝑗𝑡	NUM
fcis-1907	36	3	−	−	PUNCT
fcis-1907	37	1	𝑘)𝑑𝑡	𝑘)𝑑𝑡	PROPN
fcis-1907	37	2	∞	∞	PROPN
fcis-1907	37	3	−∞	−∞	ADP
fcis-1907	37	4	=	=	SYM
fcis-1907	37	5	∫	∫	PROPN
fcis-1907	37	6	𝑓(𝑡	𝑓(𝑡	PROPN
fcis-1907	37	7	)	)	PUNCT
fcis-1907	37	8	∗	∗	NOUN
fcis-1907	37	9	𝜓𝑗,𝑘(𝑡)𝑑𝑡	𝜓𝑗,𝑘(𝑡)𝑑𝑡	NOUN
fcis-1907	37	10	∞	∞	PROPN
fcis-1907	37	11	−∞	−∞	X
fcis-1907	37	12	=	=	SYM
fcis-1907	37	13	〈	〈	NOUN
fcis-1907	37	14	𝑓(𝑡),𝜓𝑗,𝑘(𝑡	𝑓(𝑡),𝜓𝑗,𝑘(𝑡	ADJ
fcis-1907	37	15	)	)	PUNCT
fcis-1907	37	16	〉	〉	NOUN
fcis-1907	37	17	(	(	PUNCT
fcis-1907	37	18	1	1	NUM
fcis-1907	37	19	)	)	PUNCT
fcis-1907	37	20	based	base	VERB
fcis-1907	37	21	on	on	ADP
fcis-1907	37	22	the	the	DET
fcis-1907	37	23	theory	theory	NOUN
fcis-1907	37	24	of	of	ADP
fcis-1907	37	25	wavelet	wavelet	NOUN
fcis-1907	37	26	analysis	analysis	NOUN
fcis-1907	37	27	,	,	PUNCT
fcis-1907	37	28	wavelet	wavelet	NOUN
fcis-1907	37	29	packet	packet	NOUN
fcis-1907	37	30	transform	transform	NOUN
fcis-1907	37	31	(	(	PUNCT
fcis-1907	37	32	wpt	wpt	PROPN
fcis-1907	37	33	)	)	PUNCT
fcis-1907	37	34	adaptively	adaptively	ADV
fcis-1907	37	35	selects	select	VERB
fcis-1907	37	36	the	the	DET
fcis-1907	37	37	best	good	ADJ
fcis-1907	37	38	basis	basis	NOUN
fcis-1907	37	39	function	function	NOUN
fcis-1907	37	40	according	accord	VERB
fcis-1907	37	41	to	to	ADP
fcis-1907	37	42	the	the	DET
fcis-1907	37	43	characteristics	characteristic	NOUN
fcis-1907	37	44	of	of	ADP
fcis-1907	37	45	the	the	DET
fcis-1907	37	46	analyzed	analyze	VERB
fcis-1907	37	47	signal	signal	NOUN
fcis-1907	37	48	and	and	CCONJ
fcis-1907	37	49	matches	match	VERB
fcis-1907	37	50	it	it	PRON
fcis-1907	37	51	to	to	ADP
fcis-1907	37	52	the	the	DET
fcis-1907	37	53	signal	signal	NOUN
fcis-1907	37	54	to	to	PART
fcis-1907	37	55	improve	improve	VERB
fcis-1907	37	56	the	the	DET
fcis-1907	37	57	analysis	analysis	NOUN
fcis-1907	37	58	ability	ability	NOUN
fcis-1907	37	59	of	of	ADP
fcis-1907	37	60	the	the	DET
fcis-1907	37	61	signal	signal	NOUN
fcis-1907	37	62	.	.	PUNCT
fcis-1907	38	1	the	the	DET
fcis-1907	38	2	wavelet	wavelet	NOUN
fcis-1907	38	3	transform	transform	VERB
fcis-1907	38	4	only	only	ADV
fcis-1907	38	5	further	far	ADV
fcis-1907	38	6	decomposes	decompose	VERB
fcis-1907	38	7	the	the	DET
fcis-1907	38	8	low	low	ADJ
fcis-1907	38	9	-	-	PUNCT
fcis-1907	38	10	frequency	frequency	NOUN
fcis-1907	38	11	part	part	NOUN
fcis-1907	38	12	of	of	ADP
fcis-1907	38	13	the	the	DET
fcis-1907	38	14	signal	signal	NOUN
fcis-1907	38	15	,	,	PUNCT
fcis-1907	38	16	while	while	SCONJ
fcis-1907	38	17	the	the	DET
fcis-1907	38	18	wpt	wpt	NOUN
fcis-1907	38	19	decomposes	decompose	VERB
fcis-1907	38	20	both	both	DET
fcis-1907	38	21	the	the	DET
fcis-1907	38	22	low	low	ADJ
fcis-1907	38	23	-	-	PUNCT
fcis-1907	38	24	frequency	frequency	NOUN
fcis-1907	38	25	part	part	NOUN
fcis-1907	38	26	of	of	ADP
fcis-1907	38	27	the	the	DET
fcis-1907	38	28	signal	signal	NOUN
fcis-1907	38	29	and	and	CCONJ
fcis-1907	38	30	the	the	DET
fcis-1907	38	31	highfrequency	highfrequency	NOUN
fcis-1907	38	32	part	part	NOUN
fcis-1907	38	33	of	of	ADP
fcis-1907	38	34	the	the	DET
fcis-1907	38	35	signal	signal	NOUN
fcis-1907	38	36	.	.	PUNCT
fcis-1907	39	1	the	the	DET
fcis-1907	39	2	decomposition	decomposition	NOUN
fcis-1907	39	3	process	process	NOUN
fcis-1907	39	4	of	of	ADP
fcis-1907	39	5	a	a	DET
fcis-1907	39	6	three	three	NUM
fcis-1907	39	7	-	-	PUNCT
fcis-1907	39	8	layer	layer	NOUN
fcis-1907	39	9	wavelet	wavelet	NOUN
fcis-1907	39	10	decomposition	decomposition	NOUN
fcis-1907	39	11	tree	tree	NOUN
fcis-1907	39	12	and	and	CCONJ
fcis-1907	39	13	a	a	DET
fcis-1907	39	14	wavelet	wavelet	NOUN
fcis-1907	39	15	packet	packet	NOUN
fcis-1907	39	16	decomposition	decomposition	NOUN
fcis-1907	39	17	tree	tree	NOUN
fcis-1907	39	18	is	be	AUX
fcis-1907	39	19	shown	show	VERB
fcis-1907	39	20	in	in	ADP
fcis-1907	39	21	figure	figure	NOUN
fcis-1907	39	22	2	2	NUM
fcis-1907	39	23	.	.	PUNCT
fcis-1907	40	1	s	s	PART
fcis-1907	40	2	is	be	AUX
fcis-1907	40	3	the	the	DET
fcis-1907	40	4	original	original	ADJ
fcis-1907	40	5	signal	signal	NOUN
fcis-1907	40	6	,	,	PUNCT
fcis-1907	40	7	a	a	PRON
fcis-1907	40	8	is	be	AUX
fcis-1907	40	9	the	the	DET
fcis-1907	40	10	low	low	ADJ
fcis-1907	40	11	-	-	PUNCT
fcis-1907	40	12	frequency	frequency	NOUN
fcis-1907	40	13	signal	signal	NOUN
fcis-1907	40	14	,	,	PUNCT
fcis-1907	40	15	and	and	CCONJ
fcis-1907	40	16	d	d	NOUN
fcis-1907	40	17	is	be	AUX
fcis-1907	40	18	the	the	DET
fcis-1907	40	19	highfrequency	highfrequency	NOUN
fcis-1907	40	20	signal	signal	NOUN
fcis-1907	40	21	,	,	PUNCT
fcis-1907	40	22	and	and	CCONJ
fcis-1907	40	23	the	the	DET
fcis-1907	40	24	number	number	NOUN
fcis-1907	40	25	of	of	ADP
fcis-1907	40	26	layers	layer	NOUN
fcis-1907	40	27	is	be	AUX
fcis-1907	40	28	numerically	numerically	ADV
fcis-1907	40	29	indicated	indicate	VERB
fcis-1907	40	30	.	.	PUNCT
fcis-1907	41	1	acharya	acharya	PROPN
fcis-1907	41	2	et	et	PROPN
fcis-1907	41	3	al	al	PROPN
fcis-1907	41	4	.	.	PROPN
fcis-1907	41	5	decompose	decompose	NOUN
fcis-1907	41	6	eeg	eeg	PROPN
fcis-1907	41	7	into	into	ADP
fcis-1907	41	8	subband	subband	NOUN
fcis-1907	41	9	signals	signal	NOUN
fcis-1907	41	10	through	through	ADP
fcis-1907	41	11	wft	wft	PROPN
fcis-1907	41	12	,	,	PUNCT
fcis-1907	41	13	and	and	CCONJ
fcis-1907	41	14	input	input	VERB
fcis-1907	41	15	the	the	DET
fcis-1907	41	16	higher	high	ADJ
fcis-1907	41	17	-	-	PUNCT
fcis-1907	41	18	order	order	NOUN
fcis-1907	41	19	accumulation	accumulation	NOUN
fcis-1907	41	20	of	of	ADP
fcis-1907	41	21	subband	subband	NOUN
fcis-1907	41	22	signals	signal	NOUN
fcis-1907	41	23	into	into	ADP
fcis-1907	41	24	the	the	DET
fcis-1907	41	25	model	model	NOUN
fcis-1907	41	26	as	as	SCONJ
fcis-1907	41	27	eeg	eeg	NOUN
fcis-1907	41	28	features	feature	NOUN
fcis-1907	41	29	to	to	PART
fcis-1907	41	30	complete	complete	VERB
fcis-1907	41	31	classification	classification	NOUN
fcis-1907	41	32	detection	detection	NOUN
fcis-1907	41	33	.	.	PUNCT
fcis-1907	42	1	in	in	ADP
fcis-1907	42	2	2007	2007	NUM
fcis-1907	42	3	,	,	PUNCT
fcis-1907	42	4	abdulhamit	abdulhamit	NOUN
fcis-1907	42	5	subasi	subasi	PROPN
fcis-1907	42	6	et	et	PROPN
fcis-1907	42	7	al	al	PROPN
fcis-1907	42	8	.	.	PROPN
fcis-1907	42	9	used	use	VERB
fcis-1907	42	10	the	the	DET
fcis-1907	42	11	discrete	discrete	ADJ
fcis-1907	42	12	wavelet	wavelet	NOUN
fcis-1907	42	13	transform	transform	NOUN
fcis-1907	42	14	to	to	PART
fcis-1907	42	15	decompose	decompose	VERB
fcis-1907	42	16	the	the	DET
fcis-1907	42	17	frequency	frequency	NOUN
fcis-1907	42	18	subband	subband	NOUN
fcis-1907	42	19	of	of	ADP
fcis-1907	42	20	eeg	eeg	NOUN
fcis-1907	42	21	signals	signal	NOUN
fcis-1907	42	22	.	.	PUNCT
fcis-1907	43	1	these	these	DET
fcis-1907	43	2	subband	subband	NOUN
fcis-1907	43	3	frequencies	frequency	NOUN
fcis-1907	43	4	are	be	AUX
fcis-1907	43	5	then	then	ADV
fcis-1907	43	6	used	use	VERB
fcis-1907	43	7	as	as	ADP
fcis-1907	43	8	inputs	input	NOUN
fcis-1907	43	9	to	to	ADP
fcis-1907	43	10	the	the	DET
fcis-1907	43	11	me	me	PROPN
fcis-1907	43	12	network	network	NOUN
fcis-1907	43	13	.	.	PUNCT
fcis-1907	44	1	fig	fig	NOUN
fcis-1907	44	2	.	.	PUNCT
fcis-1907	45	1	2	2	NUM
fcis-1907	45	2	diagram	diagram	NOUN
fcis-1907	45	3	of	of	ADP
fcis-1907	45	4	three	three	NUM
fcis-1907	45	5	-	-	PUNCT
fcis-1907	45	6	level	level	NOUN
fcis-1907	45	7	wavelet	wavelet	NOUN
fcis-1907	45	8	decomposition	decomposition	NOUN
fcis-1907	45	9	tree	tree	NOUN
fcis-1907	45	10	and	and	CCONJ
fcis-1907	45	11	wavelet	wavelet	NOUN
fcis-1907	45	12	packet	packet	NOUN
fcis-1907	45	13	decomposition	decomposition	NOUN
fcis-1907	45	14	tree	tree	NOUN
fcis-1907	45	15	2.4	2.4	NUM
fcis-1907	45	16	.	.	PUNCT
fcis-1907	46	1	nonlinear	nonlinear	ADJ
fcis-1907	46	2	dynamic	dynamic	ADJ
fcis-1907	46	3	analysis	analysis	NOUN
fcis-1907	46	4	.	.	PUNCT
fcis-1907	47	1	nonlinear	nonlinear	ADJ
fcis-1907	47	2	dynamical	dynamical	ADJ
fcis-1907	47	3	system	system	NOUN
fcis-1907	47	4	refers	refer	VERB
fcis-1907	47	5	to	to	ADP
fcis-1907	47	6	a	a	DET
fcis-1907	47	7	system	system	NOUN
fcis-1907	47	8	in	in	ADP
fcis-1907	47	9	which	which	PRON
fcis-1907	47	10	the	the	DET
fcis-1907	47	11	state	state	NOUN
fcis-1907	47	12	and	and	CCONJ
fcis-1907	47	13	output	output	NOUN
fcis-1907	47	14	variables	variable	NOUN
fcis-1907	47	15	of	of	ADP
fcis-1907	47	16	the	the	DET
fcis-1907	47	17	system	system	NOUN
fcis-1907	47	18	can	can	AUX
fcis-1907	47	19	not	not	PART
fcis-1907	47	20	be	be	AUX
fcis-1907	47	21	described	describe	VERB
fcis-1907	47	22	by	by	ADP
fcis-1907	47	23	linear	linear	PROPN
fcis-1907	47	24	relations	relation	NOUN
fcis-1907	47	25	under	under	ADP
fcis-1907	47	26	the	the	DET
fcis-1907	47	27	influence	influence	NOUN
fcis-1907	47	28	of	of	ADP
fcis-1907	47	29	external	external	ADJ
fcis-1907	47	30	conditions	condition	NOUN
fcis-1907	47	31	.	.	PUNCT
fcis-1907	48	1	in	in	ADP
fcis-1907	48	2	recent	recent	ADJ
fcis-1907	48	3	years	year	NOUN
fcis-1907	48	4	,	,	PUNCT
fcis-1907	48	5	a	a	DET
fcis-1907	48	6	growing	grow	VERB
fcis-1907	48	7	body	body	NOUN
fcis-1907	48	8	of	of	ADP
fcis-1907	48	9	research	research	NOUN
fcis-1907	48	10	has	have	AUX
fcis-1907	48	11	shown	show	VERB
fcis-1907	48	12	that	that	SCONJ
fcis-1907	48	13	the	the	DET
fcis-1907	48	14	brain	brain	NOUN
fcis-1907	48	15	is	be	AUX
fcis-1907	48	16	a	a	DET
fcis-1907	48	17	complex	complex	ADJ
fcis-1907	48	18	,	,	PUNCT
fcis-1907	48	19	nonlinear	nonlinear	ADJ
fcis-1907	48	20	chaotic	chaotic	ADJ
fcis-1907	48	21	system	system	NOUN
fcis-1907	48	22	in	in	ADP
fcis-1907	48	23	which	which	PRON
fcis-1907	48	24	eeg	eeg	NOUN
fcis-1907	48	25	signals	signal	NOUN
fcis-1907	48	26	can	can	AUX
fcis-1907	48	27	be	be	AUX
fcis-1907	48	28	seen	see	VERB
fcis-1907	48	29	as	as	ADP
fcis-1907	48	30	their	their	PRON
fcis-1907	48	31	output	output	NOUN
fcis-1907	48	32	.	.	PUNCT
fcis-1907	49	1	approximate	approximate	ADJ
fcis-1907	49	2	entropy	entropy	PROPN
fcis-1907	49	3	is	be	AUX
fcis-1907	49	4	a	a	DET
fcis-1907	49	5	nonlinear	nonlinear	ADJ
fcis-1907	49	6	kinetic	kinetic	ADJ
fcis-1907	49	7	indicator	indicator	NOUN
fcis-1907	49	8	used	use	VERB
fcis-1907	49	9	to	to	PART
fcis-1907	49	10	measure	measure	VERB
fcis-1907	49	11	the	the	DET
fcis-1907	49	12	regularity	regularity	NOUN
fcis-1907	49	13	and	and	CCONJ
fcis-1907	49	14	unpredictability	unpredictability	NOUN
fcis-1907	49	15	of	of	ADP
fcis-1907	49	16	time	time	NOUN
fcis-1907	49	17	-	-	PUNCT
fcis-1907	49	18	series	series	NOUN
fcis-1907	49	19	fluctuations	fluctuation	NOUN
fcis-1907	49	20	,	,	PUNCT
fcis-1907	49	21	proposed	propose	VERB
fcis-1907	49	22	by	by	ADP
fcis-1907	49	23	pincus	pincus	PROPN
fcis-1907	49	24	design	design	PROPN
fcis-1907	49	25	in	in	ADP
fcis-1907	49	26	1991	1991	NUM
fcis-1907	49	27	.	.	PUNCT
fcis-1907	50	1	it	it	PRON
fcis-1907	50	2	uses	use	VERB
fcis-1907	50	3	a	a	DET
fcis-1907	50	4	nonnegative	nonnegative	ADJ
fcis-1907	50	5	number	number	NOUN
fcis-1907	50	6	to	to	PART
fcis-1907	50	7	represent	represent	VERB
fcis-1907	50	8	the	the	DET
fcis-1907	50	9	complexity	complexity	NOUN
fcis-1907	50	10	of	of	ADP
fcis-1907	50	11	a	a	DET
fcis-1907	50	12	time	time	NOUN
fcis-1907	50	13	series	series	NOUN
fcis-1907	50	14	,	,	PUNCT
fcis-1907	50	15	reflecting	reflect	VERB
fcis-1907	50	16	the	the	DET
fcis-1907	50	17	likelihood	likelihood	NOUN
fcis-1907	50	18	that	that	SCONJ
fcis-1907	50	19	new	new	ADJ
fcis-1907	50	20	information	information	NOUN
fcis-1907	50	21	will	will	AUX
fcis-1907	50	22	occur	occur	VERB
fcis-1907	50	23	in	in	ADP
fcis-1907	50	24	the	the	DET
fcis-1907	50	25	time	time	NOUN
fcis-1907	50	26	series	series	NOUN
fcis-1907	50	27	,	,	PUNCT
fcis-1907	50	28	and	and	CCONJ
fcis-1907	50	29	the	the	DET
fcis-1907	50	30	more	more	ADV
fcis-1907	50	31	complex	complex	ADJ
fcis-1907	50	32	the	the	DET
fcis-1907	50	33	time	time	NOUN
fcis-1907	50	34	series	series	PROPN
fcis-1907	50	35	corresponds	correspond	VERB
fcis-1907	50	36	to	to	ADP
fcis-1907	50	37	the	the	PRON
fcis-1907	50	38	greater	great	ADJ
fcis-1907	50	39	the	the	DET
fcis-1907	50	40	approximate	approximate	ADJ
fcis-1907	50	41	entropy	entropy	NOUN
fcis-1907	50	42	.	.	PUNCT
fcis-1907	51	1	the	the	DET
fcis-1907	51	2	calculation	calculation	NOUN
fcis-1907	51	3	process	process	NOUN
fcis-1907	51	4	of	of	ADP
fcis-1907	51	5	approximate	approximate	ADJ
fcis-1907	51	6	entropy	entropy	NOUN
fcis-1907	51	7	is	be	AUX
fcis-1907	51	8	shown	show	VERB
fcis-1907	51	9	in	in	ADP
fcis-1907	51	10	equation	equation	NOUN
fcis-1907	51	11	(	(	PUNCT
fcis-1907	51	12	2	2	NUM
fcis-1907	51	13	)	)	PUNCT
fcis-1907	51	14	.	.	PUNCT
fcis-1907	52	1	𝐴𝑝𝐸𝑛	𝐴𝑝𝐸𝑛	NOUN
fcis-1907	52	2	=	=	PUNCT
fcis-1907	52	3	φ𝑚(𝑡	φ𝑚(𝑡	X
fcis-1907	52	4	)	)	PUNCT
fcis-1907	52	5	−	−	PROPN
fcis-1907	52	6	φ𝑚+1(𝑡	φ𝑚+1(𝑡	NOUN
fcis-1907	52	7	)	)	PUNCT
fcis-1907	52	8	(	(	PUNCT
fcis-1907	52	9	2	2	X
fcis-1907	52	10	)	)	PUNCT
fcis-1907	52	11	a	a	DET
fcis-1907	52	12	time	time	NOUN
fcis-1907	52	13	series	series	NOUN
fcis-1907	52	14	[	[	X
fcis-1907	52	15	𝑋(𝑖	𝑋(𝑖	PROPN
fcis-1907	52	16	)	)	PUNCT
fcis-1907	52	17	,	,	PUNCT
fcis-1907	52	18	𝑖	𝑖	NOUN
fcis-1907	52	19	=	=	SYM
fcis-1907	52	20	1,2	1,2	NUM
fcis-1907	52	21	,	,	PUNCT
fcis-1907	52	22	…	…	PUNCT
fcis-1907	52	23	,	,	PUNCT
fcis-1907	52	24	𝑛	𝑛	X
fcis-1907	52	25	]	]	PUNCT
fcis-1907	52	26	take	take	VERB
fcis-1907	52	27	𝑀	𝑀	PROPN
fcis-1907	52	28	as	as	ADP
fcis-1907	52	29	the	the	DET
fcis-1907	52	30	window	window	NOUN
fcis-1907	52	31	size	size	NOUN
fcis-1907	52	32	and	and	CCONJ
fcis-1907	52	33	divide	divide	NOUN
fcis-1907	52	34	𝑋(𝑖	𝑋(𝑖	PROPN
fcis-1907	52	35	)	)	PUNCT
fcis-1907	52	36	into	into	ADP
fcis-1907	52	37	𝑘	𝑘	PRON
fcis-1907	52	38	=	=	PUNCT
fcis-1907	52	39	𝑛	𝑛	DET
fcis-1907	52	40	−	−	NOUN
fcis-1907	52	41	𝑚	𝑚	NOUN
fcis-1907	52	42	+	+	CCONJ
fcis-1907	52	43	1	1	NUM
fcis-1907	52	44	sequences	sequence	NOUN
fcis-1907	52	45	.	.	PUNCT
fcis-1907	53	1	φ𝑚(𝑡	φ𝑚(𝑡	X
fcis-1907	53	2	)	)	PUNCT
fcis-1907	54	1	=	=	SYM
fcis-1907	54	2	1	1	NUM
fcis-1907	54	3	𝑛−𝑚+1	𝑛−𝑚+1	PROPN
fcis-1907	54	4	∑	∑	PUNCT
fcis-1907	54	5	𝑙𝑛𝐶𝑖	𝑙𝑛𝐶𝑖	PROPN
fcis-1907	54	6	𝑚(𝑡)𝑛−𝑚+1	𝑚(𝑡)𝑛−𝑚+1	VERB
fcis-1907	54	7	𝑖=1	𝑖=1	PROPN
fcis-1907	54	8	represents	represent	VERB
fcis-1907	54	9	the	the	DET
fcis-1907	54	10	logarithmic	logarithmic	ADJ
fcis-1907	54	11	mean	mean	NOUN
fcis-1907	54	12	of	of	ADP
fcis-1907	54	13	the	the	DET
fcis-1907	54	14	ratio	ratio	NOUN
fcis-1907	54	15	of	of	ADP
fcis-1907	54	16	the	the	DET
fcis-1907	54	17	distance	distance	NOUN
fcis-1907	54	18	between	between	ADP
fcis-1907	54	19	these	these	DET
fcis-1907	54	20	sequences	sequence	NOUN
fcis-1907	54	21	and	and	CCONJ
fcis-1907	54	22	all	all	PRON
fcis-1907	54	23	𝑘	𝑘	DET
fcis-1907	54	24	sequences	sequence	NOUN
fcis-1907	54	25	greater	great	ADJ
fcis-1907	54	26	than	than	ADP
fcis-1907	54	27	the	the	DET
fcis-1907	54	28	threshold	threshold	NOUN
fcis-1907	54	29	to	to	ADP
fcis-1907	54	30	the	the	DET
fcis-1907	54	31	total	total	ADJ
fcis-1907	54	32	number	number	NOUN
fcis-1907	54	33	.	.	PUNCT
fcis-1907	55	1	richman	richman	NOUN
fcis-1907	55	2	and	and	CCONJ
fcis-1907	55	3	moornan	moornan	PROPN
fcis-1907	55	4	found	find	VERB
fcis-1907	55	5	that	that	SCONJ
fcis-1907	55	6	approximate	approximate	ADJ
fcis-1907	55	7	entropy	entropy	PROPN
fcis-1907	55	8	lacked	lack	VERB
fcis-1907	55	9	relative	relative	ADJ
fcis-1907	55	10	consistency	consistency	NOUN
fcis-1907	55	11	and	and	CCONJ
fcis-1907	55	12	relied	rely	VERB
fcis-1907	55	13	heavily	heavily	ADV
fcis-1907	55	14	on	on	ADP
fcis-1907	55	15	record	record	NOUN
fcis-1907	55	16	length	length	NOUN
fcis-1907	55	17	,	,	PUNCT
fcis-1907	55	18	with	with	ADP
fcis-1907	55	19	lower	low	ADJ
fcis-1907	55	20	than	than	SCONJ
fcis-1907	55	21	expected	expect	VERB
fcis-1907	55	22	consistency	consistency	NOUN
fcis-1907	55	23	for	for	ADP
fcis-1907	55	24	short	short	ADJ
fcis-1907	55	25	records	record	NOUN
fcis-1907	55	26	.	.	PUNCT
fcis-1907	56	1	therefore	therefore	ADV
fcis-1907	56	2	,	,	PUNCT
fcis-1907	56	3	they	they	PRON
fcis-1907	56	4	proposed	propose	VERB
fcis-1907	56	5	sample	sample	NOUN
fcis-1907	56	6	entropy	entropy	NOUN
fcis-1907	56	7	based	base	VERB
fcis-1907	56	8	on	on	ADP
fcis-1907	56	9	approximate	approximate	ADJ
fcis-1907	56	10	entropy	entropy	NOUN
fcis-1907	56	11	as	as	ADP
fcis-1907	56	12	an	an	DET
fcis-1907	56	13	improved	improved	ADJ
fcis-1907	56	14	time	time	NOUN
fcis-1907	56	15	series	series	PROPN
fcis-1907	56	16	complexity	complexity	PROPN
fcis-1907	56	17	measurement	measurement	PROPN
fcis-1907	56	18	method	method	NOUN
fcis-1907	56	19	.	.	PUNCT
fcis-1907	57	1	sample	sample	NOUN
fcis-1907	57	2	entropy	entropy	PROPN
fcis-1907	57	3	has	have	VERB
fcis-1907	57	4	two	two	NUM
fcis-1907	57	5	advantages	advantage	NOUN
fcis-1907	57	6	over	over	ADP
fcis-1907	57	7	approximate	approximate	ADJ
fcis-1907	57	8	entropy	entropy	NOUN
fcis-1907	57	9	:	:	PUNCT
fcis-1907	57	10	the	the	DET
fcis-1907	57	11	calculation	calculation	NOUN
fcis-1907	57	12	of	of	ADP
fcis-1907	57	13	sample	sample	NOUN
fcis-1907	57	14	entropy	entropy	NOUN
fcis-1907	57	15	is	be	AUX
fcis-1907	57	16	independent	independent	ADJ
fcis-1907	57	17	of	of	ADP
fcis-1907	57	18	data	datum	NOUN
fcis-1907	57	19	length	length	NOUN
fcis-1907	57	20	and	and	CCONJ
fcis-1907	57	21	has	have	VERB
fcis-1907	57	22	better	well	ADJ
fcis-1907	57	23	consistency	consistency	NOUN
fcis-1907	57	24	,	,	PUNCT
fcis-1907	57	25	eliminating	eliminate	VERB
fcis-1907	57	26	self	self	NOUN
fcis-1907	57	27	-	-	PUNCT
fcis-1907	57	28	matching	matching	NOUN
fcis-1907	57	29	and	and	CCONJ
fcis-1907	57	30	the	the	DET
fcis-1907	57	31	algorithm	algorithm	NOUN
fcis-1907	57	32	is	be	AUX
fcis-1907	57	33	simpler	simple	ADJ
fcis-1907	57	34	,	,	PUNCT
fcis-1907	57	35	requiring	require	VERB
fcis-1907	57	36	only	only	ADV
fcis-1907	57	37	about	about	ADP
fcis-1907	57	38	half	half	DET
fcis-1907	57	39	the	the	DET
fcis-1907	57	40	time	time	NOUN
fcis-1907	57	41	to	to	PART
fcis-1907	57	42	calculate	calculate	VERB
fcis-1907	57	43	.	.	PUNCT
fcis-1907	58	1	the	the	PRON
fcis-1907	58	2	lower	low	ADJ
fcis-1907	58	3	the	the	DET
fcis-1907	58	4	value	value	NOUN
fcis-1907	58	5	of	of	ADP
fcis-1907	58	6	the	the	DET
fcis-1907	58	7	sample	sample	NOUN
fcis-1907	58	8	entropy	entropy	NOUN
fcis-1907	58	9	,	,	PUNCT
fcis-1907	58	10	the	the	PRON
fcis-1907	58	11	higher	high	ADJ
fcis-1907	58	12	the	the	DET
fcis-1907	58	13	sequence	sequence	NOUN
fcis-1907	58	14	selfsimilarity	selfsimilarity	NOUN
fcis-1907	58	15	;	;	PUNCT
fcis-1907	58	16	the	the	PRON
fcis-1907	58	17	larger	large	ADJ
fcis-1907	58	18	the	the	DET
fcis-1907	58	19	value	value	NOUN
fcis-1907	58	20	of	of	ADP
fcis-1907	58	21	the	the	DET
fcis-1907	58	22	sample	sample	NOUN
fcis-1907	58	23	entropy	entropy	NOUN
fcis-1907	58	24	,	,	PUNCT
fcis-1907	58	25	the	the	DET
fcis-1907	58	26	more	more	ADV
fcis-1907	58	27	complex	complex	ADJ
fcis-1907	58	28	the	the	DET
fcis-1907	58	29	sample	sample	NOUN
fcis-1907	58	30	sequence	sequence	NOUN
fcis-1907	58	31	.	.	PUNCT
fcis-1907	59	1	yuedong	yuedong	ADJ
fcis-1907	59	2	song	song	NOUN
fcis-1907	59	3	et	et	PROPN
fcis-1907	59	4	al	al	PROPN
fcis-1907	59	5	.	.	PROPN
fcis-1907	59	6	proposed	propose	VERB
fcis-1907	59	7	an	an	DET
fcis-1907	59	8	automatic	automatic	ADJ
fcis-1907	59	9	epilepsy	epilepsy	NOUN
fcis-1907	59	10	detection	detection	NOUN
fcis-1907	59	11	model	model	NOUN
fcis-1907	59	12	with	with	ADP
fcis-1907	59	13	approximate	approximate	ADJ
fcis-1907	59	14	entropy	entropy	NOUN
fcis-1907	59	15	and	and	CCONJ
fcis-1907	59	16	sample	sample	NOUN
fcis-1907	59	17	entropy	entropy	NOUN
fcis-1907	59	18	as	as	ADP
fcis-1907	59	19	the	the	DET
fcis-1907	59	20	characteristics	characteristic	NOUN
fcis-1907	59	21	of	of	ADP
fcis-1907	59	22	eeg	eeg	NOUN
fcis-1907	59	23	signals	signal	NOUN
fcis-1907	59	24	.	.	PUNCT
fcis-1907	60	1	3	3	X
fcis-1907	60	2	.	.	X
fcis-1907	60	3	summary	summary	NOUN
fcis-1907	60	4	epilepsy	epilepsy	NOUN
fcis-1907	60	5	eeg	eeg	PROPN
fcis-1907	60	6	research	research	NOUN
fcis-1907	60	7	has	have	AUX
fcis-1907	60	8	always	always	ADV
fcis-1907	60	9	been	be	AUX
fcis-1907	60	10	a	a	DET
fcis-1907	60	11	hot	hot	ADJ
fcis-1907	60	12	spot	spot	NOUN
fcis-1907	60	13	and	and	CCONJ
fcis-1907	60	14	difficulty	difficulty	NOUN
fcis-1907	60	15	in	in	ADP
fcis-1907	60	16	the	the	DET
fcis-1907	60	17	industry	industry	NOUN
fcis-1907	60	18	,	,	PUNCT
fcis-1907	60	19	because	because	SCONJ
fcis-1907	60	20	the	the	DET
fcis-1907	60	21	eeg	eeg	PROPN
fcis-1907	60	22	acquisition	acquisition	NOUN
fcis-1907	60	23	process	process	NOUN
fcis-1907	60	24	mostly	mostly	ADV
fcis-1907	60	25	uses	use	VERB
fcis-1907	60	26	non	non	ADJ
fcis-1907	60	27	-	-	ADJ
fcis-1907	60	28	invasive	invasive	ADJ
fcis-1907	60	29	acquisition	acquisition	NOUN
fcis-1907	60	30	methods	method	NOUN
fcis-1907	60	31	,	,	PUNCT
fcis-1907	60	32	and	and	CCONJ
fcis-1907	60	33	the	the	DET
fcis-1907	60	34	collection	collection	NOUN
fcis-1907	60	35	process	process	NOUN
fcis-1907	60	36	is	be	AUX
fcis-1907	60	37	susceptible	susceptible	ADJ
fcis-1907	60	38	to	to	PART
fcis-1907	60	39	interference	interference	VERB
fcis-1907	60	40	from	from	ADP
fcis-1907	60	41	the	the	DET
fcis-1907	60	42	external	external	ADJ
fcis-1907	60	43	environment	environment	NOUN
fcis-1907	60	44	,	,	PUNCT
fcis-1907	60	45	resulting	result	VERB
fcis-1907	60	46	in	in	ADP
fcis-1907	60	47	a	a	DET
fcis-1907	60	48	lot	lot	NOUN
fcis-1907	60	49	of	of	ADP
fcis-1907	60	50	noise	noise	NOUN
fcis-1907	60	51	collected	collect	VERB
fcis-1907	60	52	eeg	eeg	PROPN
fcis-1907	60	53	data	datum	NOUN
fcis-1907	60	54	,	,	PUNCT
fcis-1907	60	55	therefore	therefore	ADV
fcis-1907	60	56	,	,	PUNCT
fcis-1907	60	57	on	on	ADP
fcis-1907	60	58	the	the	DET
fcis-1907	60	59	basis	basis	NOUN
fcis-1907	60	60	of	of	ADP
fcis-1907	60	61	data	datum	NOUN
fcis-1907	60	62	preprocessing	preprocessing	NOUN
fcis-1907	60	63	,	,	PUNCT
fcis-1907	60	64	the	the	DET
fcis-1907	60	65	extraction	extraction	NOUN
fcis-1907	60	66	of	of	ADP
fcis-1907	60	67	eeg	eeg	NOUN
fcis-1907	60	68	features	feature	NOUN
fcis-1907	60	69	is	be	AUX
fcis-1907	60	70	particularly	particularly	ADV
fcis-1907	60	71	important	important	ADJ
fcis-1907	60	72	,	,	PUNCT
fcis-1907	60	73	only	only	ADV
fcis-1907	60	74	by	by	ADP
fcis-1907	60	75	mining	mine	VERB
fcis-1907	60	76	more	more	ADJ
fcis-1907	60	77	representative	representative	ADJ
fcis-1907	60	78	features	feature	NOUN
fcis-1907	60	79	,	,	PUNCT
fcis-1907	60	80	the	the	DET
fcis-1907	60	81	model	model	NOUN
fcis-1907	60	82	can	can	AUX
fcis-1907	60	83	produce	produce	VERB
fcis-1907	60	84	better	well	ADJ
fcis-1907	60	85	results	result	NOUN
fcis-1907	60	86	.	.	PUNCT
fcis-1907	61	1	in	in	ADP
fcis-1907	61	2	this	this	DET
fcis-1907	61	3	paper	paper	NOUN
fcis-1907	61	4	,	,	PUNCT
fcis-1907	61	5	the	the	DET
fcis-1907	61	6	four	four	NUM
fcis-1907	61	7	dimensions	dimension	NOUN
fcis-1907	61	8	of	of	ADP
fcis-1907	61	9	time	time	NOUN
fcis-1907	61	10	domain	domain	NOUN
fcis-1907	61	11	analysis	analysis	NOUN
fcis-1907	61	12	,	,	PUNCT
fcis-1907	61	13	frequency	frequency	NOUN
fcis-1907	61	14	domain	domain	NOUN
fcis-1907	61	15	analysis	analysis	NOUN
fcis-1907	61	16	,	,	PUNCT
fcis-1907	61	17	time	time	NOUN
fcis-1907	61	18	frequency	frequency	NOUN
fcis-1907	61	19	analysis	analysis	NOUN
fcis-1907	61	20	and	and	CCONJ
fcis-1907	61	21	nonlinear	nonlinear	ADJ
fcis-1907	61	22	kinetic	kinetic	ADJ
fcis-1907	61	23	analysis	analysis	NOUN
fcis-1907	61	24	are	be	AUX
fcis-1907	61	25	reviewed	review	VERB
fcis-1907	61	26	for	for	ADP
fcis-1907	61	27	feature	feature	NOUN
fcis-1907	61	28	extraction	extraction	NOUN
fcis-1907	61	29	,	,	PUNCT
fcis-1907	61	30	with	with	ADP
fcis-1907	61	31	the	the	DET
fcis-1907	61	32	purpose	purpose	NOUN
fcis-1907	61	33	of	of	ADP
fcis-1907	61	34	summarizing	summarize	VERB
fcis-1907	61	35	and	and	CCONJ
fcis-1907	61	36	prospecting	prospect	VERB
fcis-1907	61	37	the	the	DET
fcis-1907	61	38	research	research	NOUN
fcis-1907	61	39	content	content	NOUN
fcis-1907	61	40	and	and	CCONJ
fcis-1907	61	41	possibilities	possibility	NOUN
fcis-1907	61	42	of	of	ADP
fcis-1907	61	43	epilepsy	epilepsy	ADJ
fcis-1907	61	44	eeg	eeg	NOUN
fcis-1907	61	45	feature	feature	NOUN
fcis-1907	61	46	extraction	extraction	NOUN
fcis-1907	61	47	,	,	PUNCT
fcis-1907	61	48	and	and	CCONJ
fcis-1907	61	49	providing	provide	VERB
fcis-1907	61	50	new	new	ADJ
fcis-1907	61	51	ideas	idea	NOUN
fcis-1907	61	52	for	for	ADP
fcis-1907	61	53	clinical	clinical	ADJ
fcis-1907	61	54	epilepsy	epilepsy	NOUN
fcis-1907	61	55	diagnosis	diagnosis	NOUN
fcis-1907	61	56	and	and	CCONJ
fcis-1907	61	57	treatment	treatment	NOUN
fcis-1907	61	58	.	.	PUNCT
fcis-1907	62	1	references	reference	NOUN
fcis-1907	62	2	[	[	X
fcis-1907	62	3	1	1	NUM
fcis-1907	62	4	]	]	PUNCT
fcis-1907	62	5	information	information	NOUN
fcis-1907	62	6	on	on	ADP
fcis-1907	62	7	:	:	PUNCT
fcis-1907	62	8	{	{	PUNCT
fcis-1907	62	9	"	"	PUNCT
fcis-1907	62	10	https://www.who.int/zh/news-room/factsheets/detail/epilepsy	https://www.who.int/zh/news-room/factsheets/detail/epilepsy	PROPN
fcis-1907	62	11	"	"	PUNCT
fcis-1907	62	12	}	}	PUNCT
fcis-1907	62	13	.	.	PUNCT
fcis-1907	63	1	[	[	X
fcis-1907	63	2	2	2	NUM
fcis-1907	63	3	]	]	PUNCT
fcis-1907	63	4	gotman	gotman	NOUN
fcis-1907	63	5	j.	j.	PROPN
fcis-1907	63	6	automatic	automatic	PROPN
fcis-1907	63	7	recognition	recognition	NOUN
fcis-1907	63	8	of	of	ADP
fcis-1907	63	9	epileptic	epileptic	ADJ
fcis-1907	63	10	seizures	seizure	NOUN
fcis-1907	63	11	in	in	ADP
fcis-1907	63	12	the	the	DET
fcis-1907	63	13	eeg[j	eeg[j	NOUN
fcis-1907	63	14	]	]	PUNCT
fcis-1907	63	15	.	.	PUNCT
fcis-1907	64	1	electroencephalography	electroencephalography	NOUN
fcis-1907	64	2	and	and	CCONJ
fcis-1907	64	3	clinical	clinical	ADJ
fcis-1907	64	4	neurophysiology	neurophysiology	NOUN
fcis-1907	64	5	,	,	PUNCT
fcis-1907	64	6	1982	1982	NUM
fcis-1907	64	7	,	,	PUNCT
fcis-1907	64	8	54(5	54(5	NUM
fcis-1907	64	9	):	):	PUNCT
fcis-1907	64	10	530	530	NUM
fcis-1907	64	11	-	-	SYM
fcis-1907	64	12	540	540	NUM
fcis-1907	64	13	.	.	PUNCT
fcis-1907	65	1	[	[	X
fcis-1907	65	2	3	3	X
fcis-1907	65	3	]	]	X
fcis-1907	65	4	wagh	wagh	NOUN
fcis-1907	65	5	n	n	CCONJ
fcis-1907	65	6	,	,	PUNCT
fcis-1907	65	7	varatharajah	varatharajah	PROPN
fcis-1907	65	8	y.	y.	PROPN
fcis-1907	65	9	eeg	eeg	PROPN
fcis-1907	65	10	-	-	PUNCT
fcis-1907	65	11	gcnn	gcnn	NOUN
fcis-1907	65	12	:	:	PUNCT
fcis-1907	65	13	augmenting	augment	VERB
fcis-1907	65	14	electroencephalogram	electroencephalogram	NOUN
fcis-1907	65	15	-	-	PUNCT
fcis-1907	65	16	based	base	VERB
fcis-1907	65	17	neurological	neurological	ADJ
fcis-1907	65	18	disease	disease	NOUN
fcis-1907	65	19	diagnosis	diagnosis	NOUN
fcis-1907	65	20	using	use	VERB
fcis-1907	65	21	a	a	DET
fcis-1907	65	22	domain	domain	NOUN
fcis-1907	65	23	-	-	PUNCT
fcis-1907	65	24	guided	guide	VERB
fcis-1907	65	25	graph	graph	NOUN
fcis-1907	65	26	convolutional	convolutional	ADJ
fcis-1907	65	27	neural	neural	ADJ
fcis-1907	65	28	network[c	network[c	PROPN
fcis-1907	65	29	]	]	X
fcis-1907	65	30	.	.	PUNCT
fcis-1907	66	1	machine	machine	NOUN
fcis-1907	66	2	learning	learn	VERB
fcis-1907	66	3	for	for	ADP
fcis-1907	66	4	health	health	NOUN
fcis-1907	66	5	,	,	PUNCT
fcis-1907	66	6	2020	2020	NUM
fcis-1907	66	7	:	:	PUNCT
fcis-1907	66	8	367	367	NUM
fcis-1907	66	9	-	-	SYM
fcis-1907	66	10	378	378	NUM
fcis-1907	66	11	.	.	PUNCT
fcis-1907	67	1	https://www.who.int/zh/news-room/fact-sheets/detail/epilepsy	https://www.who.int/zh/news-room/fact-sheets/detail/epilepsy	PROPN
fcis-1907	67	2	https://www.who.int/zh/news-room/fact-sheets/detail/epilepsy	https://www.who.int/zh/news-room/fact-sheets/detail/epilepsy	PROPN
fcis-1907	67	3	7	7	NUM
fcis-1907	67	4	[	[	X
fcis-1907	67	5	4	4	X
fcis-1907	67	6	]	]	X
fcis-1907	67	7	gao	gao	PROPN
fcis-1907	67	8	y	y	PROPN
fcis-1907	67	9	,	,	PUNCT
fcis-1907	67	10	gao	gao	PROPN
fcis-1907	67	11	b	b	PROPN
fcis-1907	67	12	,	,	PUNCT
fcis-1907	67	13	chen	chen	PROPN
fcis-1907	67	14	q	q	PROPN
fcis-1907	67	15	,	,	PUNCT
fcis-1907	67	16	et	et	PROPN
fcis-1907	67	17	al	al	PROPN
fcis-1907	67	18	.	.	PUNCT
fcis-1907	68	1	deep	deep	ADJ
fcis-1907	68	2	convolutional	convolutional	ADJ
fcis-1907	68	3	neural	neural	ADJ
fcis-1907	68	4	network	network	NOUN
fcis-1907	68	5	-	-	PUNCT
fcis-1907	68	6	based	base	VERB
fcis-1907	68	7	epileptic	epileptic	ADJ
fcis-1907	68	8	electroencephalogram	electroencephalogram	NOUN
fcis-1907	68	9	(	(	PUNCT
fcis-1907	68	10	eeg	eeg	NOUN
fcis-1907	68	11	)	)	PUNCT
fcis-1907	68	12	signal	signal	NOUN
fcis-1907	68	13	classification[j	classification[j	PROPN
fcis-1907	68	14	]	]	PUNCT
fcis-1907	68	15	.	.	PUNCT
fcis-1907	69	1	frontiers	frontier	NOUN
fcis-1907	69	2	in	in	ADP
fcis-1907	69	3	neurology	neurology	NOUN
fcis-1907	69	4	,	,	PUNCT
fcis-1907	69	5	2020	2020	NUM
fcis-1907	69	6	,	,	PUNCT
fcis-1907	69	7	11	11	NUM
fcis-1907	69	8	:	:	SYM
fcis-1907	69	9	375	375	NUM
fcis-1907	69	10	.	.	PUNCT
fcis-1907	70	1	[	[	X
fcis-1907	70	2	5	5	NUM
fcis-1907	70	3	]	]	PUNCT
fcis-1907	70	4	acharya	acharya	NOUN
fcis-1907	70	5	u	u	PROPN
fcis-1907	70	6	r	r	PROPN
fcis-1907	70	7	,	,	PUNCT
fcis-1907	70	8	sree	sree	PROPN
fcis-1907	70	9	s	s	PROPN
fcis-1907	70	10	v	v	PROPN
fcis-1907	70	11	,	,	PUNCT
fcis-1907	70	12	suri	suri	PROPN
fcis-1907	70	13	j	j	PROPN
fcis-1907	70	14	s.	s.	PROPN
fcis-1907	70	15	automatic	automatic	ADJ
fcis-1907	70	16	detection	detection	NOUN
fcis-1907	70	17	of	of	ADP
fcis-1907	70	18	epileptic	epileptic	ADJ
fcis-1907	70	19	eeg	eeg	NOUN
fcis-1907	70	20	signals	signal	NOUN
fcis-1907	70	21	using	use	VERB
fcis-1907	70	22	higher	high	ADJ
fcis-1907	70	23	order	order	NOUN
fcis-1907	70	24	cumulant	cumulant	ADJ
fcis-1907	70	25	features[j	features[j	PROPN
fcis-1907	70	26	]	]	PUNCT
fcis-1907	70	27	.	.	PUNCT
fcis-1907	71	1	international	international	ADJ
fcis-1907	71	2	journal	journal	PROPN
fcis-1907	71	3	of	of	ADP
fcis-1907	71	4	neural	neural	ADJ
fcis-1907	71	5	systems	system	NOUN
fcis-1907	71	6	,	,	PUNCT
fcis-1907	71	7	2011	2011	NUM
fcis-1907	71	8	,	,	PUNCT
fcis-1907	71	9	21(05	21(05	NUM
fcis-1907	71	10	):	):	PUNCT
fcis-1907	71	11	403	403	NUM
fcis-1907	71	12	-	-	SYM
fcis-1907	71	13	414	414	NUM
fcis-1907	71	14	.	.	PUNCT
fcis-1907	72	1	[	[	X
fcis-1907	72	2	6	6	NUM
fcis-1907	72	3	]	]	X
fcis-1907	72	4	subasi	subasi	NOUN
fcis-1907	72	5	a.	a.	NOUN
fcis-1907	72	6	eeg	eeg	PROPN
fcis-1907	72	7	signal	signal	NOUN
fcis-1907	72	8	classification	classification	NOUN
fcis-1907	72	9	using	use	VERB
fcis-1907	72	10	wavelet	wavelet	NOUN
fcis-1907	72	11	feature	feature	NOUN
fcis-1907	72	12	extraction	extraction	NOUN
fcis-1907	72	13	and	and	CCONJ
fcis-1907	72	14	a	a	DET
fcis-1907	72	15	mixture	mixture	NOUN
fcis-1907	72	16	of	of	ADP
fcis-1907	72	17	expert	expert	NOUN
fcis-1907	72	18	model[j	model[j	PROPN
fcis-1907	72	19	]	]	PUNCT
fcis-1907	72	20	.	.	PUNCT
fcis-1907	73	1	expert	expert	NOUN
fcis-1907	73	2	systems	system	NOUN
fcis-1907	73	3	with	with	ADP
fcis-1907	73	4	applications	application	NOUN
fcis-1907	73	5	,	,	PUNCT
fcis-1907	73	6	2007	2007	NUM
fcis-1907	73	7	,	,	PUNCT
fcis-1907	73	8	32(4	32(4	NUM
fcis-1907	73	9	):	):	PUNCT
fcis-1907	73	10	1084	1084	NUM
fcis-1907	73	11	-	-	SYM
fcis-1907	73	12	1093	1093	NUM
fcis-1907	73	13	.	.	PUNCT
fcis-1907	74	1	[	[	X
fcis-1907	74	2	7	7	NUM
fcis-1907	74	3	]	]	X
fcis-1907	74	4	pincus	pincus	PROPN
fcis-1907	74	5	s	s	PROPN
fcis-1907	74	6	m.	m.	NOUN
fcis-1907	74	7	approximate	approximate	ADJ
fcis-1907	74	8	entropy	entropy	PROPN
fcis-1907	74	9	as	as	ADP
fcis-1907	74	10	a	a	DET
fcis-1907	74	11	measure	measure	NOUN
fcis-1907	74	12	of	of	ADP
fcis-1907	74	13	system	system	NOUN
fcis-1907	74	14	complexity[j	complexity[j	NOUN
fcis-1907	74	15	]	]	PUNCT
fcis-1907	74	16	.	.	PUNCT
fcis-1907	75	1	proceedings	proceeding	NOUN
fcis-1907	75	2	of	of	ADP
fcis-1907	75	3	the	the	DET
fcis-1907	75	4	national	national	PROPN
fcis-1907	75	5	academy	academy	PROPN
fcis-1907	75	6	of	of	ADP
fcis-1907	75	7	sciences	sciences	PROPN
fcis-1907	75	8	,	,	PUNCT
fcis-1907	75	9	1991	1991	NUM
fcis-1907	75	10	,	,	PUNCT
fcis-1907	75	11	88(6	88(6	NUM
fcis-1907	75	12	):	):	PUNCT
fcis-1907	75	13	2297	2297	NUM
fcis-1907	75	14	-	-	SYM
fcis-1907	75	15	2301	2301	NUM
fcis-1907	75	16	.	.	PUNCT
fcis-1907	76	1	[	[	X
fcis-1907	76	2	8	8	NUM
fcis-1907	76	3	]	]	X
fcis-1907	76	4	richman	richman	PROPN
fcis-1907	76	5	j	j	PROPN
fcis-1907	76	6	s	s	PROPN
fcis-1907	76	7	,	,	PUNCT
fcis-1907	76	8	moorman	moorman	PROPN
fcis-1907	76	9	j	j	PROPN
fcis-1907	76	10	r.	r.	PROPN
fcis-1907	76	11	physiological	physiological	PROPN
fcis-1907	76	12	time	time	NOUN
fcis-1907	76	13	-	-	PUNCT
fcis-1907	76	14	series	series	NOUN
fcis-1907	76	15	analysis	analysis	NOUN
fcis-1907	76	16	using	use	VERB
fcis-1907	76	17	approximate	approximate	ADJ
fcis-1907	76	18	entropy	entropy	NOUN
fcis-1907	76	19	and	and	CCONJ
fcis-1907	76	20	sample	sample	VERB
fcis-1907	76	21	entropy[j	entropy[j	PROPN
fcis-1907	76	22	]	]	PUNCT
fcis-1907	76	23	.	.	PUNCT
fcis-1907	77	1	american	american	PROPN
fcis-1907	77	2	journal	journal	PROPN
fcis-1907	77	3	of	of	ADP
fcis-1907	77	4	physiology	physiology	NOUN
fcis-1907	77	5	-	-	PUNCT
fcis-1907	77	6	heart	heart	NOUN
fcis-1907	77	7	and	and	CCONJ
fcis-1907	77	8	circulatory	circulatory	ADJ
fcis-1907	77	9	physiology	physiology	NOUN
fcis-1907	77	10	,	,	PUNCT
fcis-1907	77	11	2000	2000	NUM
fcis-1907	77	12	.	.	PUNCT
fcis-1907	78	1	[	[	X
fcis-1907	78	2	9	9	NUM
fcis-1907	78	3	]	]	PUNCT
fcis-1907	78	4	song	song	NOUN
fcis-1907	78	5	y	y	PROPN
fcis-1907	78	6	,	,	PUNCT
fcis-1907	78	7	crowcroft	crowcroft	PROPN
fcis-1907	78	8	j	j	PROPN
fcis-1907	78	9	,	,	PUNCT
fcis-1907	78	10	zhang	zhang	PROPN
fcis-1907	78	11	j.	j.	PROPN
fcis-1907	78	12	automatic	automatic	ADJ
fcis-1907	78	13	epileptic	epileptic	ADJ
fcis-1907	78	14	seizure	seizure	NOUN
fcis-1907	78	15	detection	detection	NOUN
fcis-1907	78	16	in	in	ADP
fcis-1907	78	17	eegs	eeg	NOUN
fcis-1907	78	18	based	base	VERB
fcis-1907	78	19	on	on	ADP
fcis-1907	78	20	optimized	optimize	VERB
fcis-1907	78	21	sample	sample	NOUN
fcis-1907	78	22	entropy	entropy	NOUN
fcis-1907	78	23	and	and	CCONJ
fcis-1907	78	24	extreme	extreme	ADJ
fcis-1907	78	25	learning	learning	NOUN
fcis-1907	78	26	machine[j	machine[j	PROPN
fcis-1907	78	27	]	]	PUNCT
fcis-1907	78	28	.	.	PUNCT
fcis-1907	79	1	journal	journal	PROPN
fcis-1907	79	2	of	of	ADP
fcis-1907	79	3	neuroscience	neuroscience	NOUN
fcis-1907	79	4	methods	method	NOUN
fcis-1907	79	5	,	,	PUNCT
fcis-1907	79	6	2012	2012	NUM
fcis-1907	79	7	,	,	PUNCT
fcis-1907	79	8	210(2	210(2	NUM
fcis-1907	79	9	):	):	PUNCT
fcis-1907	79	10	132	132	NUM
fcis-1907	79	11	-	-	SYM
fcis-1907	79	12	146	146	NUM
fcis-1907	79	13	.	.	PUNCT