id	sid	tid	token	lemma	pos
fcis-31263	1	1	frontiers	frontier	NOUN
fcis-31263	1	2	in	in	ADP
fcis-31263	1	3	computing	computing	NOUN
fcis-31263	1	4	and	and	CCONJ
fcis-31263	1	5	intelligent	intelligent	ADJ
fcis-31263	1	6	systems	system	NOUN
fcis-31263	1	7	issn	issn	VERB
fcis-31263	1	8	:	:	PUNCT
fcis-31263	1	9	2832	2832	NUM
fcis-31263	1	10	-	-	SYM
fcis-31263	1	11	6024	6024	NUM
fcis-31263	1	12	|	|	NOUN
fcis-31263	1	13	vol	vol	NOUN
fcis-31263	1	14	.	.	PROPN
fcis-31263	2	1	12	12	NUM
fcis-31263	2	2	,	,	PUNCT
fcis-31263	2	3	no	no	INTJ
fcis-31263	2	4	.	.	NOUN
fcis-31263	2	5	3	3	NUM
fcis-31263	2	6	,	,	PUNCT
fcis-31263	2	7	2025	2025	NUM
fcis-31263	2	8	97	97	NUM
fcis-31263	2	9	adhd	adhd	NOUN
fcis-31263	2	10	-	-	PUNCT
fcis-31263	2	11	conformer	conformer	NOUN
fcis-31263	2	12	:	:	PUNCT
fcis-31263	2	13	eeg	eeg	NOUN
fcis-31263	2	14	-	-	PUNCT
fcis-31263	2	15	based	base	VERB
fcis-31263	2	16	classification	classification	NOUN
fcis-31263	2	17	and	and	CCONJ
fcis-31263	2	18	detection	detection	NOUN
fcis-31263	2	19	of	of	ADP
fcis-31263	2	20	adhd	adhd	NOUN
fcis-31263	2	21	junming	junme	VERB
fcis-31263	2	22	bai	bai	PROPN
fcis-31263	2	23	,	,	PUNCT
fcis-31263	2	24	bingxu	bingxu	PROPN
fcis-31263	2	25	hou	hou	PROPN
fcis-31263	2	26	,	,	PUNCT
fcis-31263	2	27	jiansheng	jiansheng	PROPN
fcis-31263	2	28	wu	wu	PROPN
fcis-31263	2	29	science	science	PROPN
fcis-31263	2	30	and	and	CCONJ
fcis-31263	2	31	technology	technology	PROPN
fcis-31263	2	32	liaoning	liaoning	PROPN
fcis-31263	2	33	university	university	PROPN
fcis-31263	2	34	,	,	PUNCT
fcis-31263	2	35	anshan	anshan	PROPN
fcis-31263	2	36	,	,	PUNCT
fcis-31263	2	37	liaoning	liaoning	PROPN
fcis-31263	2	38	,	,	PUNCT
fcis-31263	2	39	china	china	PROPN
fcis-31263	2	40	abstract	abstract	NOUN
fcis-31263	2	41	:	:	PUNCT
fcis-31263	2	42	attention	attention	NOUN
fcis-31263	2	43	deficit	deficit	NOUN
fcis-31263	2	44	hyperactivity	hyperactivity	NOUN
fcis-31263	2	45	disorder	disorder	NOUN
fcis-31263	2	46	(	(	PUNCT
fcis-31263	2	47	adhd	adhd	NOUN
fcis-31263	2	48	)	)	PUNCT
fcis-31263	2	49	is	be	AUX
fcis-31263	2	50	one	one	NUM
fcis-31263	2	51	of	of	ADP
fcis-31263	2	52	the	the	DET
fcis-31263	2	53	most	most	ADV
fcis-31263	2	54	prevalent	prevalent	ADJ
fcis-31263	2	55	neurodevelopmental	neurodevelopmental	ADJ
fcis-31263	2	56	disorders	disorder	NOUN
fcis-31263	2	57	among	among	ADP
fcis-31263	2	58	children	child	NOUN
fcis-31263	2	59	,	,	PUNCT
fcis-31263	2	60	often	often	ADV
fcis-31263	2	61	leading	lead	VERB
fcis-31263	2	62	to	to	ADP
fcis-31263	2	63	cognitive	cognitive	ADJ
fcis-31263	2	64	,	,	PUNCT
fcis-31263	2	65	emotional	emotional	ADJ
fcis-31263	2	66	,	,	PUNCT
fcis-31263	2	67	and	and	CCONJ
fcis-31263	2	68	social	social	ADJ
fcis-31263	2	69	impairments	impairment	NOUN
fcis-31263	2	70	.	.	PUNCT
fcis-31263	3	1	traditional	traditional	ADJ
fcis-31263	3	2	diagnostic	diagnostic	ADJ
fcis-31263	3	3	methods	method	NOUN
fcis-31263	3	4	rely	rely	VERB
fcis-31263	3	5	heavily	heavily	ADV
fcis-31263	3	6	on	on	ADP
fcis-31263	3	7	behavioral	behavioral	ADJ
fcis-31263	3	8	observation	observation	NOUN
fcis-31263	3	9	and	and	CCONJ
fcis-31263	3	10	subjective	subjective	ADJ
fcis-31263	3	11	questionnaires	questionnaire	NOUN
fcis-31263	3	12	,	,	PUNCT
fcis-31263	3	13	lacking	lack	VERB
fcis-31263	3	14	objective	objective	ADJ
fcis-31263	3	15	physiological	physiological	ADJ
fcis-31263	3	16	indicators	indicator	NOUN
fcis-31263	3	17	.	.	PUNCT
fcis-31263	4	1	this	this	DET
fcis-31263	4	2	study	study	NOUN
fcis-31263	4	3	proposes	propose	VERB
fcis-31263	4	4	a	a	DET
fcis-31263	4	5	novel	novel	NOUN
fcis-31263	4	6	braincomputer	braincomputer	NOUN
fcis-31263	4	7	interface	interface	NOUN
fcis-31263	4	8	(	(	PUNCT
fcis-31263	4	9	bci	bci	PROPN
fcis-31263	4	10	)	)	PUNCT
fcis-31263	4	11	assisted	assist	VERB
fcis-31263	4	12	diagnostic	diagnostic	ADJ
fcis-31263	4	13	method	method	NOUN
fcis-31263	4	14	based	base	VERB
fcis-31263	4	15	on	on	ADP
fcis-31263	4	16	eeg	eeg	PROPN
fcis-31263	4	17	signal	signal	NOUN
fcis-31263	4	18	classification	classification	NOUN
fcis-31263	4	19	using	use	VERB
fcis-31263	4	20	a	a	DET
fcis-31263	4	21	deep	deep	ADJ
fcis-31263	4	22	learning	learn	VERB
fcis-31263	4	23	hybrid	hybrid	ADJ
fcis-31263	4	24	model	model	NOUN
fcis-31263	4	25	named	name	VERB
fcis-31263	4	26	adhd	adhd	NOUN
fcis-31263	4	27	-	-	PUNCT
fcis-31263	4	28	conformer	conformer	NOUN
fcis-31263	4	29	.	.	PUNCT
fcis-31263	5	1	the	the	DET
fcis-31263	5	2	model	model	NOUN
fcis-31263	5	3	combines	combine	VERB
fcis-31263	5	4	convolutional	convolutional	ADJ
fcis-31263	5	5	neural	neural	ADJ
fcis-31263	5	6	networks	network	NOUN
fcis-31263	5	7	(	(	PUNCT
fcis-31263	5	8	cnns	cnns	PROPN
fcis-31263	5	9	)	)	PUNCT
fcis-31263	5	10	for	for	ADP
fcis-31263	5	11	local	local	ADJ
fcis-31263	5	12	feature	feature	NOUN
fcis-31263	5	13	extraction	extraction	NOUN
fcis-31263	5	14	and	and	CCONJ
fcis-31263	5	15	transformer	transformer	NOUN
fcis-31263	5	16	-	-	PUNCT
fcis-31263	5	17	based	base	VERB
fcis-31263	5	18	architectures	architecture	NOUN
fcis-31263	5	19	for	for	ADP
fcis-31263	5	20	capturing	capture	VERB
fcis-31263	5	21	global	global	ADJ
fcis-31263	5	22	temporal	temporal	ADJ
fcis-31263	5	23	dependencies	dependency	NOUN
fcis-31263	5	24	.	.	PUNCT
fcis-31263	6	1	experiments	experiment	NOUN
fcis-31263	6	2	on	on	ADP
fcis-31263	6	3	open	open	ADJ
fcis-31263	6	4	-	-	PUNCT
fcis-31263	6	5	source	source	NOUN
fcis-31263	6	6	datasets	dataset	NOUN
fcis-31263	6	7	demonstrate	demonstrate	VERB
fcis-31263	6	8	that	that	SCONJ
fcis-31263	6	9	our	our	PRON
fcis-31263	6	10	approach	approach	NOUN
fcis-31263	6	11	achieves	achieve	VERB
fcis-31263	6	12	superior	superior	ADJ
fcis-31263	6	13	classification	classification	NOUN
fcis-31263	6	14	performance	performance	NOUN
fcis-31263	6	15	,	,	PUNCT
fcis-31263	6	16	with	with	ADP
fcis-31263	6	17	accuracy	accuracy	NOUN
fcis-31263	6	18	reaching	reach	VERB
fcis-31263	6	19	99.01	99.01	NUM
fcis-31263	6	20	%	%	NOUN
fcis-31263	6	21	,	,	PUNCT
fcis-31263	6	22	thus	thus	ADV
fcis-31263	6	23	proving	prove	VERB
fcis-31263	6	24	the	the	DET
fcis-31263	6	25	feasibility	feasibility	NOUN
fcis-31263	6	26	of	of	ADP
fcis-31263	6	27	deep	deep	ADJ
fcis-31263	6	28	learning	learning	NOUN
fcis-31263	6	29	-	-	PUNCT
fcis-31263	6	30	assisted	assist	VERB
fcis-31263	6	31	adhd	adhd	NOUN
fcis-31263	6	32	diagnosis	diagnosis	NOUN
fcis-31263	6	33	.	.	PUNCT
fcis-31263	7	1	keywords	keyword	NOUN
fcis-31263	7	2	:	:	PUNCT
fcis-31263	7	3	adhd	adhd	NOUN
fcis-31263	7	4	;	;	PUNCT
fcis-31263	7	5	brain	brain	NOUN
fcis-31263	7	6	-	-	PUNCT
fcis-31263	7	7	computer	computer	NOUN
fcis-31263	7	8	interface	interface	NOUN
fcis-31263	7	9	;	;	PUNCT
fcis-31263	7	10	eeg	eeg	NOUN
fcis-31263	7	11	;	;	PUNCT
fcis-31263	7	12	deep	deep	ADJ
fcis-31263	7	13	learning	learning	NOUN
fcis-31263	7	14	;	;	PUNCT
fcis-31263	7	15	conformer	conformer	PROPN
fcis-31263	7	16	;	;	PUNCT
fcis-31263	7	17	cnn	cnn	PROPN
fcis-31263	7	18	;	;	PUNCT
fcis-31263	7	19	transformer	transformer	NOUN
fcis-31263	7	20	.	.	PUNCT
fcis-31263	8	1	1	1	X
fcis-31263	8	2	.	.	X
fcis-31263	8	3	introduction	introduction	NOUN
fcis-31263	8	4	adhd	adhd	NOUN
fcis-31263	8	5	affects	affect	VERB
fcis-31263	8	6	approximately	approximately	ADV
fcis-31263	8	7	5–7	5–7	NUM
fcis-31263	8	8	%	%	NOUN
fcis-31263	8	9	of	of	ADP
fcis-31263	8	10	children	child	NOUN
fcis-31263	8	11	globally	globally	ADV
fcis-31263	8	12	and	and	CCONJ
fcis-31263	8	13	remains	remain	VERB
fcis-31263	8	14	one	one	NUM
fcis-31263	8	15	of	of	ADP
fcis-31263	8	16	the	the	DET
fcis-31263	8	17	leading	lead	VERB
fcis-31263	8	18	causes	cause	NOUN
fcis-31263	8	19	of	of	ADP
fcis-31263	8	20	academic	academic	ADJ
fcis-31263	8	21	failure	failure	NOUN
fcis-31263	8	22	,	,	PUNCT
fcis-31263	8	23	behavioral	behavioral	ADJ
fcis-31263	8	24	issues	issue	NOUN
fcis-31263	8	25	,	,	PUNCT
fcis-31263	8	26	and	and	CCONJ
fcis-31263	8	27	social	social	ADJ
fcis-31263	8	28	dysfunction	dysfunction	NOUN
fcis-31263	8	29	.	.	PUNCT
fcis-31263	9	1	current	current	ADJ
fcis-31263	9	2	clinical	clinical	ADJ
fcis-31263	9	3	diagnosis	diagnosis	NOUN
fcis-31263	9	4	is	be	AUX
fcis-31263	9	5	based	base	VERB
fcis-31263	9	6	on	on	ADP
fcis-31263	9	7	interviews	interview	NOUN
fcis-31263	9	8	and	and	CCONJ
fcis-31263	9	9	questionnaires	questionnaire	NOUN
fcis-31263	9	10	,	,	PUNCT
fcis-31263	9	11	which	which	PRON
fcis-31263	9	12	are	be	AUX
fcis-31263	9	13	highly	highly	ADV
fcis-31263	9	14	subjective	subjective	ADJ
fcis-31263	9	15	and	and	CCONJ
fcis-31263	9	16	prone	prone	ADJ
fcis-31263	9	17	to	to	ADP
fcis-31263	9	18	misdiagnosis	misdiagnosis	NOUN
fcis-31263	9	19	.	.	PUNCT
fcis-31263	10	1	given	give	VERB
fcis-31263	10	2	the	the	DET
fcis-31263	10	3	overlap	overlap	NOUN
fcis-31263	10	4	of	of	ADP
fcis-31263	10	5	adhd	adhd	NOUN
fcis-31263	10	6	symptoms	symptom	NOUN
fcis-31263	10	7	with	with	ADP
fcis-31263	10	8	other	other	ADJ
fcis-31263	10	9	neurological	neurological	ADJ
fcis-31263	10	10	disorders	disorder	NOUN
fcis-31263	10	11	,	,	PUNCT
fcis-31263	10	12	an	an	DET
fcis-31263	10	13	urgent	urgent	ADJ
fcis-31263	10	14	need	need	NOUN
fcis-31263	10	15	arises	arise	VERB
fcis-31263	10	16	for	for	ADP
fcis-31263	10	17	objective	objective	NOUN
fcis-31263	10	18	,	,	PUNCT
fcis-31263	10	19	biomarkerbased	biomarkerbase	VERB
fcis-31263	10	20	diagnostic	diagnostic	ADJ
fcis-31263	10	21	systems	system	NOUN
fcis-31263	10	22	.	.	PUNCT
fcis-31263	11	1	eeg	eeg	PROPN
fcis-31263	11	2	(	(	PUNCT
fcis-31263	11	3	electroencephalography	electroencephalography	NOUN
fcis-31263	11	4	)	)	PUNCT
fcis-31263	11	5	signals	signal	NOUN
fcis-31263	11	6	,	,	PUNCT
fcis-31263	11	7	as	as	ADP
fcis-31263	11	8	direct	direct	ADJ
fcis-31263	11	9	reflections	reflection	NOUN
fcis-31263	11	10	of	of	ADP
fcis-31263	11	11	neuronal	neuronal	ADJ
fcis-31263	11	12	activity	activity	NOUN
fcis-31263	11	13	,	,	PUNCT
fcis-31263	11	14	provide	provide	VERB
fcis-31263	11	15	a	a	DET
fcis-31263	11	16	promising	promising	ADJ
fcis-31263	11	17	alternative	alternative	NOUN
fcis-31263	11	18	.	.	PUNCT
fcis-31263	12	1	the	the	DET
fcis-31263	12	2	advent	advent	NOUN
fcis-31263	12	3	of	of	ADP
fcis-31263	12	4	brain	brain	NOUN
fcis-31263	12	5	-	-	PUNCT
fcis-31263	12	6	computer	computer	NOUN
fcis-31263	12	7	interface	interface	NOUN
fcis-31263	12	8	(	(	PUNCT
fcis-31263	12	9	bci	bci	NOUN
fcis-31263	12	10	)	)	PUNCT
fcis-31263	12	11	technology	technology	NOUN
fcis-31263	12	12	enables	enable	VERB
fcis-31263	12	13	non	non	ADJ
fcis-31263	12	14	-	-	ADJ
fcis-31263	12	15	invasive	invasive	ADJ
fcis-31263	12	16	brain	brain	NOUN
fcis-31263	12	17	activity	activity	NOUN
fcis-31263	12	18	monitoring	monitoring	NOUN
fcis-31263	12	19	,	,	PUNCT
fcis-31263	12	20	paving	pave	VERB
fcis-31263	12	21	the	the	DET
fcis-31263	12	22	way	way	NOUN
fcis-31263	12	23	for	for	ADP
fcis-31263	12	24	automated	automated	ADJ
fcis-31263	12	25	,	,	PUNCT
fcis-31263	12	26	physiological	physiological	ADJ
fcis-31263	12	27	signal	signal	NOUN
fcis-31263	12	28	-	-	PUNCT
fcis-31263	12	29	based	base	VERB
fcis-31263	12	30	adhd	adhd	NOUN
fcis-31263	12	31	diagnosis	diagnosis	NOUN
fcis-31263	12	32	.	.	PUNCT
fcis-31263	13	1	this	this	DET
fcis-31263	13	2	study	study	NOUN
fcis-31263	13	3	presents	present	VERB
fcis-31263	13	4	an	an	DET
fcis-31263	13	5	innovative	innovative	ADJ
fcis-31263	13	6	deep	deep	ADJ
fcis-31263	13	7	learning	learning	NOUN
fcis-31263	13	8	approach	approach	NOUN
fcis-31263	13	9	that	that	PRON
fcis-31263	13	10	enhances	enhance	VERB
fcis-31263	13	11	both	both	CCONJ
fcis-31263	13	12	the	the	DET
fcis-31263	13	13	accuracy	accuracy	NOUN
fcis-31263	13	14	and	and	CCONJ
fcis-31263	13	15	generalization	generalization	NOUN
fcis-31263	13	16	of	of	ADP
fcis-31263	13	17	adhd	adhd	NOUN
fcis-31263	13	18	classification	classification	NOUN
fcis-31263	13	19	from	from	ADP
fcis-31263	13	20	eeg	eeg	PROPN
fcis-31263	13	21	data	datum	NOUN
fcis-31263	13	22	.	.	PUNCT
fcis-31263	14	1	2	2	X
fcis-31263	14	2	.	.	X
fcis-31263	14	3	related	relate	VERB
fcis-31263	14	4	work	work	NOUN
fcis-31263	14	5	previous	previous	ADJ
fcis-31263	14	6	studies	study	NOUN
fcis-31263	14	7	have	have	AUX
fcis-31263	14	8	employed	employ	VERB
fcis-31263	14	9	various	various	ADJ
fcis-31263	14	10	deep	deep	ADJ
fcis-31263	14	11	learning	learning	NOUN
fcis-31263	14	12	models	model	NOUN
fcis-31263	14	13	,	,	PUNCT
fcis-31263	14	14	such	such	ADJ
fcis-31263	14	15	as	as	ADP
fcis-31263	14	16	adhd	adhd	NOUN
fcis-31263	14	17	-	-	PUNCT
fcis-31263	14	18	net	net	NOUN
fcis-31263	14	19	,	,	PUNCT
fcis-31263	14	20	which	which	PRON
fcis-31263	14	21	leverages	leverage	VERB
fcis-31263	14	22	depthwise	depthwise	NOUN
fcis-31263	14	23	separable	separable	ADJ
fcis-31263	14	24	convolutions	convolution	NOUN
fcis-31263	14	25	and	and	CCONJ
fcis-31263	14	26	lstm	lstm	NOUN
fcis-31263	14	27	networks	network	NOUN
fcis-31263	14	28	.	.	PUNCT
fcis-31263	15	1	however	however	ADV
fcis-31263	15	2	,	,	PUNCT
fcis-31263	15	3	lstm	lstm	NOUN
fcis-31263	15	4	struggles	struggle	VERB
fcis-31263	15	5	with	with	ADP
fcis-31263	15	6	long	long	ADJ
fcis-31263	15	7	-	-	PUNCT
fcis-31263	15	8	term	term	NOUN
fcis-31263	15	9	dependency	dependency	NOUN
fcis-31263	15	10	modeling	modeling	NOUN
fcis-31263	15	11	and	and	CCONJ
fcis-31263	15	12	introduces	introduce	VERB
fcis-31263	15	13	heavy	heavy	ADJ
fcis-31263	15	14	computational	computational	ADJ
fcis-31263	15	15	overhead	overhead	NOUN
fcis-31263	15	16	.	.	PUNCT
fcis-31263	16	1	in	in	ADP
fcis-31263	16	2	contrast	contrast	NOUN
fcis-31263	16	3	,	,	PUNCT
fcis-31263	16	4	the	the	DET
fcis-31263	16	5	conformer	conformer	NOUN
fcis-31263	16	6	architecture	architecture	NOUN
fcis-31263	16	7	,	,	PUNCT
fcis-31263	16	8	which	which	PRON
fcis-31263	16	9	fuses	fuse	VERB
fcis-31263	16	10	cnn	cnn	PROPN
fcis-31263	16	11	and	and	CCONJ
fcis-31263	16	12	transformer	transformer	NOUN
fcis-31263	16	13	modules	module	NOUN
fcis-31263	16	14	,	,	PUNCT
fcis-31263	16	15	offers	offer	VERB
fcis-31263	16	16	improved	improve	VERB
fcis-31263	16	17	feature	feature	NOUN
fcis-31263	16	18	representation	representation	NOUN
fcis-31263	16	19	and	and	CCONJ
fcis-31263	16	20	computational	computational	ADJ
fcis-31263	16	21	efficiency	efficiency	NOUN
fcis-31263	16	22	.	.	PUNCT
fcis-31263	17	1	3	3	X
fcis-31263	17	2	.	.	X
fcis-31263	17	3	materials	material	NOUN
fcis-31263	17	4	and	and	CCONJ
fcis-31263	17	5	methods	method	NOUN
fcis-31263	17	6	3.1	3.1	NUM
fcis-31263	17	7	.	.	PUNCT
fcis-31263	18	1	datasets	dataset	NOUN
fcis-31263	18	2	two	two	NUM
fcis-31263	18	3	publicly	publicly	ADV
fcis-31263	18	4	available	available	ADJ
fcis-31263	18	5	eeg	eeg	NOUN
fcis-31263	18	6	datasets	dataset	NOUN
fcis-31263	18	7	were	be	AUX
fcis-31263	18	8	used	use	VERB
fcis-31263	18	9	:	:	PUNCT
fcis-31263	18	10	ieee	ieee	PROPN
fcis-31263	18	11	dataport	dataport	NOUN
fcis-31263	18	12	adhd	adhd	NOUN
fcis-31263	18	13	/	/	SYM
fcis-31263	18	14	control	control	NOUN
fcis-31263	18	15	dataset	dataset	NOUN
fcis-31263	18	16	:	:	PUNCT
fcis-31263	18	17	144	144	NUM
fcis-31263	18	18	participants	participant	NOUN
fcis-31263	18	19	with	with	ADP
fcis-31263	18	20	56	56	NUM
fcis-31263	18	21	-	-	PUNCT
fcis-31263	18	22	channel	channel	NOUN
fcis-31263	18	23	eeg	eeg	NOUN
fcis-31263	18	24	signals	signal	NOUN
fcis-31263	18	25	(	(	PUNCT
fcis-31263	18	26	including	include	VERB
fcis-31263	18	27	adhd	adhd	NOUN
fcis-31263	18	28	,	,	PUNCT
fcis-31263	18	29	add	add	VERB
fcis-31263	18	30	,	,	PUNCT
fcis-31263	18	31	and	and	CCONJ
fcis-31263	18	32	healthy	healthy	ADJ
fcis-31263	18	33	control	control	NOUN
fcis-31263	18	34	groups	group	NOUN
fcis-31263	18	35	)	)	PUNCT
fcis-31263	18	36	.	.	PUNCT
fcis-31263	19	1	deep	deep	ADJ
fcis-31263	19	2	learning	learn	VERB
fcis-31263	19	3	eeg	eeg	NOUN
fcis-31263	19	4	dataset	dataset	NOUN
fcis-31263	19	5	:	:	PUNCT
fcis-31263	19	6	covers	cover	VERB
fcis-31263	19	7	multiple	multiple	ADJ
fcis-31263	19	8	cognitive	cognitive	ADJ
fcis-31263	19	9	tasks	task	NOUN
fcis-31263	19	10	with	with	ADP
fcis-31263	19	11	64	64	NUM
fcis-31263	19	12	-	-	PUNCT
fcis-31263	19	13	channel	channel	NOUN
fcis-31263	19	14	eeg	eeg	NOUN
fcis-31263	19	15	recordings	recording	NOUN
fcis-31263	19	16	.	.	PUNCT
fcis-31263	20	1	preprocessing	preprocesse	VERB
fcis-31263	20	2	included	include	VERB
fcis-31263	20	3	bandpass	bandpass	NOUN
fcis-31263	20	4	filtering	filtering	NOUN
fcis-31263	20	5	(	(	PUNCT
fcis-31263	20	6	4–30hz	4–30hz	NOUN
fcis-31263	20	7	)	)	PUNCT
fcis-31263	20	8	,	,	PUNCT
fcis-31263	20	9	zscore	zscore	NOUN
fcis-31263	20	10	normalization	normalization	NOUN
fcis-31263	20	11	,	,	PUNCT
fcis-31263	20	12	and	and	CCONJ
fcis-31263	20	13	time	time	NOUN
fcis-31263	20	14	-	-	PUNCT
fcis-31263	20	15	window	window	NOUN
fcis-31263	20	16	alignment	alignment	NOUN
fcis-31263	20	17	(	(	PUNCT
fcis-31263	20	18	padding	padding	NOUN
fcis-31263	20	19	/	/	SYM
fcis-31263	20	20	cropping	cropping	NOUN
fcis-31263	20	21	to	to	ADP
fcis-31263	20	22	385	385	NUM
fcis-31263	20	23	time	time	NOUN
fcis-31263	20	24	points	point	NOUN
fcis-31263	20	25	)	)	PUNCT
fcis-31263	20	26	.	.	PUNCT
fcis-31263	21	1	a	a	DET
fcis-31263	21	2	5	5	NUM
fcis-31263	21	3	-	-	ADJ
fcis-31263	21	4	fold	fold	ADJ
fcis-31263	21	5	stratified	stratified	ADJ
fcis-31263	21	6	cross	cross	ADJ
fcis-31263	21	7	-	-	ADJ
fcis-31263	21	8	validation	validation	ADJ
fcis-31263	21	9	scheme	scheme	NOUN
fcis-31263	21	10	was	be	AUX
fcis-31263	21	11	adopted	adopt	VERB
fcis-31263	21	12	for	for	ADP
fcis-31263	21	13	robust	robust	ADJ
fcis-31263	21	14	evaluation	evaluation	NOUN
fcis-31263	21	15	.	.	PUNCT
fcis-31263	22	1	3.2	3.2	NUM
fcis-31263	22	2	.	.	PUNCT
fcis-31263	22	3	evaluation	evaluation	NOUN
fcis-31263	22	4	metrics	metric	NOUN
fcis-31263	22	5	we	we	PRON
fcis-31263	22	6	evaluated	evaluate	VERB
fcis-31263	22	7	the	the	DET
fcis-31263	22	8	model	model	NOUN
fcis-31263	22	9	performance	performance	NOUN
fcis-31263	22	10	using	use	VERB
fcis-31263	22	11	accuracy	accuracy	NOUN
fcis-31263	22	12	(	(	PUNCT
fcis-31263	22	13	acc	acc	PROPN
fcis-31263	22	14	)	)	PUNCT
fcis-31263	22	15	,	,	PUNCT
fcis-31263	22	16	recall	recall	NOUN
fcis-31263	22	17	,	,	PUNCT
fcis-31263	22	18	loss	loss	NOUN
fcis-31263	22	19	,	,	PUNCT
fcis-31263	22	20	and	and	CCONJ
fcis-31263	22	21	f1	f1	NOUN
fcis-31263	22	22	-	-	PUNCT
fcis-31263	22	23	score	score	NOUN
fcis-31263	22	24	.	.	PUNCT
fcis-31263	23	1	4	4	X
fcis-31263	23	2	.	.	NOUN
fcis-31263	23	3	model	model	NOUN
fcis-31263	23	4	architecture	architecture	NOUN
fcis-31263	23	5	figure	figure	NOUN
fcis-31263	23	6	1	1	NUM
fcis-31263	23	7	.	.	PUNCT
fcis-31263	23	8	adhd	adhd	NOUN
fcis-31263	23	9	-	-	PUNCT
fcis-31263	23	10	conformer	conformer	NOUN
fcis-31263	23	11	research	research	NOUN
fcis-31263	23	12	workflow	workflow	NOUN
fcis-31263	23	13	diagram	diagram	NOUN
fcis-31263	23	14	.	.	PUNCT
fcis-31263	24	1	98	98	NUM
fcis-31263	25	1	the	the	DET
fcis-31263	25	2	proposed	propose	VERB
fcis-31263	25	3	adhd	adhd	NOUN
fcis-31263	25	4	-	-	PUNCT
fcis-31263	25	5	conformer	conformer	NOUN
fcis-31263	25	6	is	be	AUX
fcis-31263	25	7	a	a	DET
fcis-31263	25	8	hybrid	hybrid	ADJ
fcis-31263	25	9	deep	deep	ADJ
fcis-31263	25	10	neural	neural	ADJ
fcis-31263	25	11	network	network	NOUN
fcis-31263	25	12	designed	design	VERB
fcis-31263	25	13	specifically	specifically	ADV
fcis-31263	25	14	for	for	ADP
fcis-31263	25	15	modeling	model	VERB
fcis-31263	25	16	the	the	DET
fcis-31263	25	17	spatiotemporal	spatiotemporal	ADJ
fcis-31263	25	18	characteristics	characteristic	NOUN
fcis-31263	25	19	of	of	ADP
fcis-31263	25	20	eeg	eeg	NOUN
fcis-31263	25	21	signals	signal	NOUN
fcis-31263	25	22	in	in	ADP
fcis-31263	25	23	the	the	DET
fcis-31263	25	24	context	context	NOUN
fcis-31263	25	25	of	of	ADP
fcis-31263	25	26	adhd	adhd	NOUN
fcis-31263	25	27	diagnosis	diagnosis	NOUN
fcis-31263	25	28	.	.	PUNCT
fcis-31263	26	1	the	the	DET
fcis-31263	26	2	architecture	architecture	NOUN
fcis-31263	26	3	integrates	integrate	VERB
fcis-31263	26	4	both	both	DET
fcis-31263	26	5	local	local	ADJ
fcis-31263	26	6	and	and	CCONJ
fcis-31263	26	7	global	global	ADJ
fcis-31263	26	8	feature	feature	NOUN
fcis-31263	26	9	extraction	extraction	NOUN
fcis-31263	26	10	mechanisms	mechanism	NOUN
fcis-31263	26	11	,	,	PUNCT
fcis-31263	26	12	consisting	consist	VERB
fcis-31263	26	13	of	of	ADP
fcis-31263	26	14	four	four	NUM
fcis-31263	26	15	main	main	ADJ
fcis-31263	26	16	components	component	NOUN
fcis-31263	26	17	:	:	PUNCT
fcis-31263	26	18	input	input	NOUN
fcis-31263	26	19	preprocessing	preprocessing	NOUN
fcis-31263	26	20	,	,	PUNCT
fcis-31263	26	21	local	local	ADJ
fcis-31263	26	22	feature	feature	NOUN
fcis-31263	26	23	extraction	extraction	NOUN
fcis-31263	26	24	(	(	PUNCT
fcis-31263	26	25	cnn	cnn	PROPN
fcis-31263	26	26	)	)	PUNCT
fcis-31263	26	27	,	,	PUNCT
fcis-31263	26	28	global	global	ADJ
fcis-31263	26	29	temporal	temporal	ADJ
fcis-31263	26	30	modeling	modeling	NOUN
fcis-31263	26	31	(	(	PUNCT
fcis-31263	26	32	transformer	transformer	NOUN
fcis-31263	26	33	)	)	PUNCT
fcis-31263	26	34	,	,	PUNCT
fcis-31263	26	35	and	and	CCONJ
fcis-31263	26	36	a	a	DET
fcis-31263	26	37	classification	classification	NOUN
fcis-31263	26	38	module	module	NOUN
fcis-31263	26	39	.	.	PUNCT
fcis-31263	27	1	the	the	DET
fcis-31263	27	2	overall	overall	ADJ
fcis-31263	27	3	structure	structure	NOUN
fcis-31263	27	4	is	be	AUX
fcis-31263	27	5	illustrated	illustrate	VERB
fcis-31263	27	6	in	in	ADP
fcis-31263	27	7	the	the	DET
fcis-31263	27	8	model	model	NOUN
fcis-31263	27	9	diagram	diagram	NOUN
fcis-31263	27	10	(	(	PUNCT
fcis-31263	27	11	figure	figure	NOUN
fcis-31263	27	12	to	to	PART
fcis-31263	27	13	be	be	AUX
fcis-31263	27	14	inserted)[3	inserted)[3	NOUN
fcis-31263	27	15	]	]	PUNCT
fcis-31263	27	16	.	.	PUNCT
fcis-31263	28	1	4.1	4.1	NUM
fcis-31263	28	2	.	.	PUNCT
fcis-31263	28	3	input	input	NOUN
fcis-31263	28	4	representation	representation	NOUN
fcis-31263	28	5	and	and	CCONJ
fcis-31263	28	6	preprocessing	preprocessing	NOUN
fcis-31263	28	7	figure	figure	NOUN
fcis-31263	28	8	2	2	NUM
fcis-31263	28	9	.	.	X
fcis-31263	28	10	eeg	eeg	PROPN
fcis-31263	28	11	data	datum	NOUN
fcis-31263	28	12	preprocessing	preprocesse	VERB
fcis-31263	28	13	workflow	workflow	NOUN
fcis-31263	28	14	.	.	PUNCT
fcis-31263	29	1	the	the	DET
fcis-31263	29	2	input	input	NOUN
fcis-31263	29	3	to	to	ADP
fcis-31263	29	4	the	the	DET
fcis-31263	29	5	model	model	NOUN
fcis-31263	29	6	is	be	AUX
fcis-31263	29	7	a	a	DET
fcis-31263	29	8	preprocessed	preprocesse	VERB
fcis-31263	29	9	eeg	eeg	NOUN
fcis-31263	29	10	tensor	tensor	NOUN
fcis-31263	29	11	with	with	ADP
fcis-31263	29	12	a	a	DET
fcis-31263	29	13	shape	shape	NOUN
fcis-31263	29	14	of	of	ADP
fcis-31263	29	15	[	[	X
fcis-31263	29	16	b,385,56	b,385,56	NOUN
fcis-31263	29	17	]	]	X
fcis-31263	29	18	,	,	PUNCT
fcis-31263	29	19	where	where	SCONJ
fcis-31263	29	20	b	b	NOUN
fcis-31263	29	21	is	be	AUX
fcis-31263	29	22	the	the	DET
fcis-31263	29	23	batch	batch	NOUN
fcis-31263	29	24	size	size	NOUN
fcis-31263	29	25	,	,	PUNCT
fcis-31263	29	26	385	385	NUM
fcis-31263	29	27	is	be	AUX
fcis-31263	29	28	the	the	DET
fcis-31263	29	29	number	number	NOUN
fcis-31263	29	30	of	of	ADP
fcis-31263	29	31	time	time	NOUN
fcis-31263	29	32	points	point	NOUN
fcis-31263	29	33	,	,	PUNCT
fcis-31263	29	34	and	and	CCONJ
fcis-31263	29	35	56	56	NUM
fcis-31263	29	36	represents	represent	VERB
fcis-31263	29	37	the	the	DET
fcis-31263	29	38	eeg	eeg	NOUN
fcis-31263	29	39	channels	channel	NOUN
fcis-31263	29	40	.	.	PUNCT
fcis-31263	30	1	to	to	PART
fcis-31263	30	2	prepare	prepare	VERB
fcis-31263	30	3	for	for	ADP
fcis-31263	30	4	convolutional	convolutional	ADJ
fcis-31263	30	5	and	and	CCONJ
fcis-31263	30	6	attention	attention	NOUN
fcis-31263	30	7	-	-	PUNCT
fcis-31263	30	8	based	base	VERB
fcis-31263	30	9	operations	operation	NOUN
fcis-31263	30	10	,	,	PUNCT
fcis-31263	30	11	the	the	DET
fcis-31263	30	12	signal	signal	NOUN
fcis-31263	30	13	is	be	AUX
fcis-31263	30	14	first	first	ADV
fcis-31263	30	15	segmented	segment	VERB
fcis-31263	30	16	into	into	ADP
fcis-31263	30	17	patches	patch	NOUN
fcis-31263	30	18	.	.	PUNCT
fcis-31263	31	1	each	each	DET
fcis-31263	31	2	patch	patch	NOUN
fcis-31263	31	3	consists	consist	VERB
fcis-31263	31	4	of	of	ADP
fcis-31263	31	5	25	25	NUM
fcis-31263	31	6	time	time	NOUN
fcis-31263	31	7	points	point	NOUN
fcis-31263	31	8	,	,	PUNCT
fcis-31263	31	9	resulting	result	VERB
fcis-31263	31	10	in	in	ADP
fcis-31263	31	11	39	39	NUM
fcis-31263	31	12	patches	patch	NOUN
fcis-31263	31	13	per	per	ADP
fcis-31263	31	14	trial	trial	NOUN
fcis-31263	31	15	,	,	PUNCT
fcis-31263	31	16	allowing	allow	VERB
fcis-31263	31	17	the	the	DET
fcis-31263	31	18	model	model	NOUN
fcis-31263	31	19	to	to	PART
fcis-31263	31	20	focus	focus	VERB
fcis-31263	31	21	on	on	ADP
fcis-31263	31	22	localized	localized	ADJ
fcis-31263	31	23	temporal	temporal	ADJ
fcis-31263	31	24	dynamics[2	dynamics[2	NOUN
fcis-31263	31	25	]	]	SYM
fcis-31263	31	26	.	.	PUNCT
fcis-31263	32	1	4.2	4.2	NUM
fcis-31263	32	2	.	.	PUNCT
fcis-31263	33	1	local	local	ADJ
fcis-31263	33	2	feature	feature	NOUN
fcis-31263	33	3	extraction	extraction	NOUN
fcis-31263	33	4	module	module	NOUN
fcis-31263	33	5	(	(	PUNCT
fcis-31263	33	6	cnn	cnn	PROPN
fcis-31263	33	7	)	)	PUNCT
fcis-31263	33	8	figure	figure	NOUN
fcis-31263	33	9	3	3	NUM
fcis-31263	33	10	.	.	PUNCT
fcis-31263	33	11	cnn	cnn	PROPN
fcis-31263	33	12	module	module	NOUN
fcis-31263	33	13	architecture	architecture	NOUN
fcis-31263	33	14	diagram	diagram	NOUN
fcis-31263	33	15	.	.	PUNCT
fcis-31263	34	1	this	this	DET
fcis-31263	34	2	module	module	NOUN
fcis-31263	34	3	employs	employ	VERB
fcis-31263	34	4	1d	1d	NUM
fcis-31263	34	5	convolutional	convolutional	ADJ
fcis-31263	34	6	neural	neural	ADJ
fcis-31263	34	7	networks	network	NOUN
fcis-31263	34	8	to	to	PART
fcis-31263	34	9	capture	capture	VERB
fcis-31263	34	10	localized	localized	ADJ
fcis-31263	34	11	frequency	frequency	NOUN
fcis-31263	34	12	-	-	PUNCT
fcis-31263	34	13	domain	domain	NOUN
fcis-31263	34	14	features	feature	NOUN
fcis-31263	34	15	of	of	ADP
fcis-31263	34	16	eeg	eeg	NOUN
fcis-31263	34	17	signals	signal	NOUN
fcis-31263	34	18	.	.	PUNCT
fcis-31263	35	1	it	it	PRON
fcis-31263	35	2	consists	consist	VERB
fcis-31263	35	3	of	of	ADP
fcis-31263	35	4	two	two	NUM
fcis-31263	35	5	primary	primary	ADJ
fcis-31263	35	6	layers	layer	NOUN
fcis-31263	35	7	:	:	PUNCT
fcis-31263	35	8	conv1d	conv1d	PROPN
fcis-31263	35	9	(	(	PUNCT
fcis-31263	35	10	kernel=7	kernel=7	PROPN
fcis-31263	35	11	,	,	PUNCT
fcis-31263	35	12	stride=3	stride=3	PROPN
fcis-31263	35	13	):	):	PUNCT
fcis-31263	35	14	extracts	extract	NOUN
fcis-31263	35	15	short	short	ADJ
fcis-31263	35	16	-	-	PUNCT
fcis-31263	35	17	term	term	NOUN
fcis-31263	35	18	temporal	temporal	ADJ
fcis-31263	35	19	features	feature	NOUN
fcis-31263	35	20	,	,	PUNCT
fcis-31263	35	21	such	such	ADJ
fcis-31263	35	22	as	as	ADP
fcis-31263	35	23	θ	θ	PROPN
fcis-31263	35	24	(	(	PUNCT
fcis-31263	35	25	4–8	4–8	NOUN
fcis-31263	35	26	hz	hz	NOUN
fcis-31263	35	27	)	)	PUNCT
fcis-31263	35	28	and	and	CCONJ
fcis-31263	35	29	α	α	PROPN
fcis-31263	35	30	(	(	PUNCT
fcis-31263	35	31	8–13	8–13	NOUN
fcis-31263	35	32	hz	hz	VERB
fcis-31263	35	33	)	)	PUNCT
fcis-31263	35	34	wave	wave	NOUN
fcis-31263	35	35	patterns	pattern	NOUN
fcis-31263	35	36	commonly	commonly	ADV
fcis-31263	35	37	observed	observe	VERB
fcis-31263	35	38	in	in	ADP
fcis-31263	35	39	adhd	adhd	NOUN
fcis-31263	35	40	.	.	PUNCT
fcis-31263	36	1	depthwise	depthwise	PROPN
fcis-31263	36	2	conv1d	conv1d	PROPN
fcis-31263	36	3	(	(	PUNCT
fcis-31263	36	4	kernel=3	kernel=3	PROPN
fcis-31263	36	5	):	):	PUNCT
fcis-31263	36	6	enhances	enhance	VERB
fcis-31263	36	7	channel	channel	NOUN
fcis-31263	36	8	-	-	PUNCT
fcis-31263	36	9	wise	wise	ADJ
fcis-31263	36	10	feature	feature	NOUN
fcis-31263	36	11	specialization	specialization	NOUN
fcis-31263	36	12	while	while	SCONJ
fcis-31263	36	13	reducing	reduce	VERB
fcis-31263	36	14	computational	computational	ADJ
fcis-31263	36	15	cost	cost	NOUN
fcis-31263	36	16	.	.	PUNCT
fcis-31263	37	1	to	to	PART
fcis-31263	37	2	improve	improve	VERB
fcis-31263	37	3	nonlinearity	nonlinearity	NOUN
fcis-31263	37	4	and	and	CCONJ
fcis-31263	37	5	gradient	gradient	NOUN
fcis-31263	37	6	flow	flow	NOUN
fcis-31263	37	7	,	,	PUNCT
fcis-31263	37	8	the	the	DET
fcis-31263	37	9	gaussian	gaussian	ADJ
fcis-31263	37	10	error	error	NOUN
fcis-31263	37	11	linear	linear	NOUN
fcis-31263	37	12	unit	unit	NOUN
fcis-31263	37	13	(	(	PUNCT
fcis-31263	37	14	gelu	gelu	NOUN
fcis-31263	37	15	)	)	PUNCT
fcis-31263	37	16	activation	activation	NOUN
fcis-31263	37	17	function	function	NOUN
fcis-31263	37	18	is	be	AUX
fcis-31263	37	19	applied	apply	VERB
fcis-31263	37	20	after	after	ADP
fcis-31263	37	21	convolution	convolution	NOUN
fcis-31263	37	22	.	.	PUNCT
fcis-31263	38	1	compared	compare	VERB
fcis-31263	38	2	to	to	ADP
fcis-31263	38	3	relu	relu	NOUN
fcis-31263	38	4	,	,	PUNCT
fcis-31263	38	5	gelu	gelu	PROPN
fcis-31263	38	6	offers	offer	VERB
fcis-31263	38	7	smoother	smooth	ADJ
fcis-31263	38	8	transitions	transition	NOUN
fcis-31263	38	9	and	and	CCONJ
fcis-31263	38	10	mitigates	mitigate	VERB
fcis-31263	38	11	the	the	DET
fcis-31263	38	12	"	"	PUNCT
fcis-31263	38	13	dying	die	VERB
fcis-31263	38	14	neuron	neuron	NOUN
fcis-31263	38	15	"	"	PUNCT
fcis-31263	38	16	problem	problem	NOUN
fcis-31263	38	17	,	,	PUNCT
fcis-31263	38	18	enhancing	enhance	VERB
fcis-31263	38	19	the	the	DET
fcis-31263	38	20	model	model	NOUN
fcis-31263	38	21	’s	’s	PART
fcis-31263	38	22	sensitivity	sensitivity	NOUN
fcis-31263	38	23	to	to	ADP
fcis-31263	38	24	subtle	subtle	ADJ
fcis-31263	38	25	eeg	eeg	NOUN
fcis-31263	38	26	variations	variation	NOUN
fcis-31263	38	27	.	.	PUNCT
fcis-31263	39	1	4.3	4.3	NUM
fcis-31263	39	2	.	.	PUNCT
fcis-31263	40	1	global	global	ADJ
fcis-31263	40	2	temporal	temporal	ADJ
fcis-31263	40	3	modeling	modeling	NOUN
fcis-31263	40	4	module	module	NOUN
fcis-31263	40	5	(	(	PUNCT
fcis-31263	40	6	transformer	transformer	NOUN
fcis-31263	40	7	)	)	PUNCT
fcis-31263	40	8	figure	figure	NOUN
fcis-31263	40	9	4	4	NUM
fcis-31263	40	10	.	.	PUNCT
fcis-31263	40	11	transformer	transformer	NOUN
fcis-31263	40	12	module	module	NOUN
fcis-31263	40	13	architecture	architecture	NOUN
fcis-31263	40	14	diagram	diagram	NOUN
fcis-31263	40	15	to	to	PART
fcis-31263	40	16	capture	capture	VERB
fcis-31263	40	17	long	long	ADJ
fcis-31263	40	18	-	-	PUNCT
fcis-31263	40	19	range	range	NOUN
fcis-31263	40	20	temporal	temporal	ADJ
fcis-31263	40	21	dependencies	dependency	NOUN
fcis-31263	40	22	in	in	ADP
fcis-31263	40	23	eeg	eeg	NOUN
fcis-31263	40	24	signals	signal	NOUN
fcis-31263	40	25	,	,	PUNCT
fcis-31263	40	26	the	the	DET
fcis-31263	40	27	model	model	NOUN
fcis-31263	40	28	incorporates	incorporate	VERB
fcis-31263	40	29	an	an	DET
fcis-31263	40	30	improved	improved	ADJ
fcis-31263	40	31	transformer	transformer	NOUN
fcis-31263	40	32	architecture	architecture	NOUN
fcis-31263	40	33	with	with	ADP
fcis-31263	40	34	the	the	DET
fcis-31263	40	35	following	follow	VERB
fcis-31263	40	36	components	component	NOUN
fcis-31263	40	37	:	:	PUNCT
fcis-31263	40	38	multi	multi	ADJ
fcis-31263	40	39	-	-	ADJ
fcis-31263	40	40	head	head	ADJ
fcis-31263	40	41	self	self	NOUN
fcis-31263	40	42	-	-	PUNCT
fcis-31263	40	43	attention	attention	NOUN
fcis-31263	40	44	(	(	PUNCT
fcis-31263	40	45	8	8	NUM
fcis-31263	40	46	heads	head	NOUN
fcis-31263	40	47	,	,	PUNCT
fcis-31263	40	48	d	d	PROPN
fcis-31263	40	49	d	d	PROPN
fcis-31263	40	50	32	32	NUM
fcis-31263	40	51	;	;	PUNCT
fcis-31263	40	52	learns	learn	VERB
fcis-31263	40	53	interactions	interaction	NOUN
fcis-31263	40	54	between	between	ADP
fcis-31263	40	55	eeg	eeg	NOUN
fcis-31263	40	56	channels	channel	NOUN
fcis-31263	40	57	and	and	CCONJ
fcis-31263	40	58	time	time	NOUN
fcis-31263	40	59	steps	step	NOUN
fcis-31263	40	60	in	in	ADP
fcis-31263	40	61	parallel	parallel	NOUN
fcis-31263	40	62	,	,	PUNCT
fcis-31263	40	63	enabling	enable	VERB
fcis-31263	40	64	rich	rich	ADJ
fcis-31263	40	65	contextual	contextual	ADJ
fcis-31263	40	66	modeling	modeling	NOUN
fcis-31263	40	67	.	.	PUNCT
fcis-31263	41	1	relative	relative	ADJ
fcis-31263	41	2	positional	positional	ADJ
fcis-31263	41	3	encoding	encoding	NOUN
fcis-31263	41	4	:	:	PUNCT
fcis-31263	41	5	enhances	enhance	VERB
fcis-31263	41	6	the	the	DET
fcis-31263	41	7	model	model	NOUN
fcis-31263	41	8	's	's	PART
fcis-31263	41	9	ability	ability	NOUN
fcis-31263	41	10	to	to	PART
fcis-31263	41	11	learn	learn	VERB
fcis-31263	41	12	sequence	sequence	NOUN
fcis-31263	41	13	order	order	NOUN
fcis-31263	41	14	relationships	relationship	NOUN
fcis-31263	41	15	,	,	PUNCT
fcis-31263	41	16	which	which	PRON
fcis-31263	41	17	is	be	AUX
fcis-31263	41	18	crucial	crucial	ADJ
fcis-31263	41	19	for	for	ADP
fcis-31263	41	20	handling	handle	VERB
fcis-31263	41	21	eeg	eeg	NOUN
fcis-31263	41	22	dynamics	dynamic	NOUN
fcis-31263	41	23	over	over	ADP
fcis-31263	41	24	time	time	NOUN
fcis-31263	41	25	.	.	PUNCT
fcis-31263	42	1	feedforward	feedforward	ADJ
fcis-31263	42	2	layers	layer	NOUN
fcis-31263	42	3	and	and	CCONJ
fcis-31263	42	4	residual	residual	ADJ
fcis-31263	42	5	connections	connection	NOUN
fcis-31263	42	6	:	:	PUNCT
fcis-31263	42	7	integrated	integrate	VERB
fcis-31263	42	8	with	with	ADP
fcis-31263	42	9	layer	layer	NOUN
fcis-31263	42	10	normalization	normalization	NOUN
fcis-31263	42	11	to	to	PART
fcis-31263	42	12	stabilize	stabilize	VERB
fcis-31263	42	13	training	training	NOUN
fcis-31263	42	14	and	and	CCONJ
fcis-31263	42	15	facilitate	facilitate	VERB
fcis-31263	42	16	deeper	deep	ADJ
fcis-31263	42	17	network	network	NOUN
fcis-31263	42	18	construction[4	construction[4	NOUN
fcis-31263	42	19	]	]	PUNCT
fcis-31263	42	20	.	.	PUNCT
fcis-31263	43	1	this	this	DET
fcis-31263	43	2	module	module	NOUN
fcis-31263	43	3	is	be	AUX
fcis-31263	43	4	particularly	particularly	ADV
fcis-31263	43	5	effective	effective	ADJ
fcis-31263	43	6	at	at	ADP
fcis-31263	43	7	modeling	model	VERB
fcis-31263	43	8	eeg	eeg	NOUN
fcis-31263	43	9	signal	signal	NOUN
fcis-31263	43	10	patterns	pattern	NOUN
fcis-31263	43	11	such	such	ADJ
fcis-31263	43	12	as	as	ADP
fcis-31263	43	13	cross	cross	ADJ
fcis-31263	43	14	-	-	ADJ
fcis-31263	43	15	frequency	frequency	ADJ
fcis-31263	43	16	interactions	interaction	NOUN
fcis-31263	43	17	(	(	PUNCT
fcis-31263	43	18	e.g.	e.g.	ADV
fcis-31263	43	19	,	,	PUNCT
fcis-31263	43	20	θ	θ	PROPN
fcis-31263	43	21	–	–	PUNCT
fcis-31263	43	22	β	β	X
fcis-31263	43	23	coupling	coupling	NOUN
fcis-31263	43	24	)	)	PUNCT
fcis-31263	43	25	,	,	PUNCT
fcis-31263	43	26	which	which	PRON
fcis-31263	43	27	are	be	AUX
fcis-31263	43	28	indicative	indicative	ADJ
fcis-31263	43	29	of	of	ADP
fcis-31263	43	30	adhd	adhd	NOUN
fcis-31263	43	31	-	-	PUNCT
fcis-31263	43	32	related	relate	VERB
fcis-31263	43	33	neural	neural	ADJ
fcis-31263	43	34	dynamics	dynamic	NOUN
fcis-31263	43	35	.	.	PUNCT
fcis-31263	44	1	4.4	4.4	NUM
fcis-31263	44	2	.	.	PUNCT
fcis-31263	45	1	feature	feature	NOUN
fcis-31263	45	2	fusion	fusion	NOUN
fcis-31263	45	3	and	and	CCONJ
fcis-31263	45	4	classification	classification	NOUN
fcis-31263	45	5	module	module	NOUN
fcis-31263	45	6	the	the	DET
fcis-31263	45	7	outputs	output	NOUN
fcis-31263	45	8	of	of	ADP
fcis-31263	45	9	the	the	DET
fcis-31263	45	10	cnn	cnn	PROPN
fcis-31263	45	11	and	and	CCONJ
fcis-31263	45	12	transformer	transformer	NOUN
fcis-31263	45	13	modules	module	NOUN
fcis-31263	45	14	are	be	AUX
fcis-31263	45	15	projected	project	VERB
fcis-31263	45	16	to	to	ADP
fcis-31263	45	17	the	the	DET
fcis-31263	45	18	same	same	ADJ
fcis-31263	45	19	dimension	dimension	NOUN
fcis-31263	45	20	and	and	CCONJ
fcis-31263	45	21	concatenated	concatenate	VERB
fcis-31263	45	22	.	.	PUNCT
fcis-31263	46	1	the	the	DET
fcis-31263	46	2	fused	fuse	VERB
fcis-31263	46	3	feature	feature	NOUN
fcis-31263	46	4	vector	vector	NOUN
fcis-31263	46	5	is	be	AUX
fcis-31263	46	6	then	then	ADV
fcis-31263	46	7	passed	pass	VERB
fcis-31263	46	8	through	through	ADP
fcis-31263	46	9	a	a	DET
fcis-31263	46	10	classification	classification	NOUN
fcis-31263	46	11	head	head	NOUN
fcis-31263	46	12	,	,	PUNCT
fcis-31263	46	13	which	which	PRON
fcis-31263	46	14	consists	consist	VERB
fcis-31263	46	15	of	of	ADP
fcis-31263	46	16	:	:	PUNCT
fcis-31263	46	17	feature	feature	NOUN
fcis-31263	46	18	concatenation	concatenation	NOUN
fcis-31263	46	19	,	,	PUNCT
fcis-31263	46	20	fully	fully	ADV
fcis-31263	46	21	connected	connected	ADJ
fcis-31263	46	22	layer	layer	NOUN
fcis-31263	46	23	.	.	PUNCT
fcis-31263	47	1	softmax	softmax	ADJ
fcis-31263	47	2	activation	activation	NOUN
fcis-31263	47	3	:	:	PUNCT
fcis-31263	47	4	outputs	output	VERB
fcis-31263	47	5	probabilities	probability	NOUN
fcis-31263	47	6	for	for	ADP
fcis-31263	47	7	the	the	DET
fcis-31263	47	8	three	three	NUM
fcis-31263	47	9	target	target	NOUN
fcis-31263	47	10	classes	class	NOUN
fcis-31263	47	11	:	:	PUNCT
fcis-31263	47	12	adhd	adhd	NOUN
fcis-31263	47	13	-	-	PUNCT
fcis-31263	47	14	inattentive	inattentive	ADJ
fcis-31263	47	15	(	(	PUNCT
fcis-31263	47	16	adhd	adhd	NOUN
fcis-31263	47	17	-	-	PUNCT
fcis-31263	47	18	i	i	NOUN
fcis-31263	47	19	)	)	PUNCT
fcis-31263	47	20	,	,	PUNCT
fcis-31263	47	21	adhdhyperactive	adhdhyperactive	ADJ
fcis-31263	47	22	/	/	SYM
fcis-31263	47	23	impulsive	impulsive	ADJ
fcis-31263	47	24	(	(	PUNCT
fcis-31263	47	25	adhd	adhd	NOUN
fcis-31263	47	26	-	-	PUNCT
fcis-31263	47	27	h	h	NOUN
fcis-31263	47	28	)	)	PUNCT
fcis-31263	47	29	,	,	PUNCT
fcis-31263	47	30	and	and	CCONJ
fcis-31263	47	31	control	control	NOUN
fcis-31263	47	32	.	.	PUNCT
fcis-31263	48	1	this	this	DET
fcis-31263	48	2	fusion	fusion	NOUN
fcis-31263	48	3	mechanism	mechanism	NOUN
fcis-31263	48	4	enables	enable	VERB
fcis-31263	48	5	the	the	DET
fcis-31263	48	6	model	model	NOUN
fcis-31263	48	7	to	to	PART
fcis-31263	48	8	integrate	integrate	VERB
fcis-31263	48	9	local	local	ADJ
fcis-31263	48	10	frequency	frequency	NOUN
fcis-31263	48	11	sensitivity	sensitivity	NOUN
fcis-31263	48	12	with	with	ADP
fcis-31263	48	13	global	global	ADJ
fcis-31263	48	14	temporal	temporal	ADJ
fcis-31263	48	15	coherence	coherence	NOUN
fcis-31263	48	16	,	,	PUNCT
fcis-31263	48	17	significantly	significantly	ADV
fcis-31263	48	18	improving	improve	VERB
fcis-31263	48	19	the	the	DET
fcis-31263	48	20	overall	overall	ADJ
fcis-31263	48	21	classification	classification	NOUN
fcis-31263	48	22	performance	performance	NOUN
fcis-31263	48	23	.	.	PUNCT
fcis-31263	49	1	99	99	NUM
fcis-31263	49	2	figure	figure	NOUN
fcis-31263	49	3	5	5	NUM
fcis-31263	49	4	.	.	PUNCT
fcis-31263	49	5	adhd	adhd	NOUN
fcis-31263	49	6	-	-	PUNCT
fcis-31263	49	7	conformer	conformer	NOUN
fcis-31263	49	8	model	model	NOUN
fcis-31263	49	9	architecture	architecture	NOUN
fcis-31263	49	10	diagram	diagram	NOUN
fcis-31263	49	11	.	.	PUNCT
fcis-31263	50	1	4.5	4.5	NUM
fcis-31263	50	2	.	.	PUNCT
fcis-31263	51	1	summary	summary	NOUN
fcis-31263	51	2	of	of	ADP
fcis-31263	51	3	model	model	NOUN
fcis-31263	51	4	advantages	advantage	NOUN
fcis-31263	51	5	local	local	ADJ
fcis-31263	51	6	–	–	PUNCT
fcis-31263	51	7	global	global	ADJ
fcis-31263	51	8	joint	joint	ADJ
fcis-31263	51	9	modeling	modeling	NOUN
fcis-31263	51	10	:	:	PUNCT
fcis-31263	51	11	cnns	cnns	PROPN
fcis-31263	51	12	capture	capture	VERB
fcis-31263	51	13	short	short	ADJ
fcis-31263	51	14	-	-	PUNCT
fcis-31263	51	15	term	term	NOUN
fcis-31263	51	16	variations	variation	NOUN
fcis-31263	51	17	,	,	PUNCT
fcis-31263	51	18	while	while	SCONJ
fcis-31263	51	19	transformers	transformer	NOUN
fcis-31263	51	20	model	model	VERB
fcis-31263	51	21	long	long	ADJ
fcis-31263	51	22	-	-	PUNCT
fcis-31263	51	23	term	term	NOUN
fcis-31263	51	24	dependencies	dependency	NOUN
fcis-31263	51	25	,	,	PUNCT
fcis-31263	51	26	providing	provide	VERB
fcis-31263	51	27	a	a	DET
fcis-31263	51	28	comprehensive	comprehensive	ADJ
fcis-31263	51	29	view	view	NOUN
fcis-31263	51	30	of	of	ADP
fcis-31263	51	31	eeg	eeg	NOUN
fcis-31263	51	32	features	feature	NOUN
fcis-31263	51	33	.	.	PUNCT
fcis-31263	52	1	lightweight	lightweight	ADJ
fcis-31263	52	2	and	and	CCONJ
fcis-31263	52	3	scalable	scalable	ADJ
fcis-31263	52	4	:	:	PUNCT
fcis-31263	52	5	the	the	DET
fcis-31263	52	6	use	use	NOUN
fcis-31263	52	7	of	of	ADP
fcis-31263	52	8	patching	patch	VERB
fcis-31263	52	9	and	and	CCONJ
fcis-31263	52	10	depthwise	depthwise	NOUN
fcis-31263	52	11	convolutions	convolution	NOUN
fcis-31263	52	12	reduces	reduce	VERB
fcis-31263	52	13	parameter	parameter	NOUN
fcis-31263	52	14	count	count	NOUN
fcis-31263	52	15	,	,	PUNCT
fcis-31263	52	16	making	make	VERB
fcis-31263	52	17	the	the	DET
fcis-31263	52	18	model	model	NOUN
fcis-31263	52	19	suitable	suitable	ADJ
fcis-31263	52	20	for	for	ADP
fcis-31263	52	21	deployment	deployment	NOUN
fcis-31263	52	22	on	on	ADP
fcis-31263	52	23	edge	edge	NOUN
fcis-31263	52	24	devices	device	NOUN
fcis-31263	52	25	and	and	CCONJ
fcis-31263	52	26	real	real	ADJ
fcis-31263	52	27	-	-	PUNCT
fcis-31263	52	28	time	time	NOUN
fcis-31263	52	29	applications	application	NOUN
fcis-31263	52	30	.	.	PUNCT
fcis-31263	53	1	generalization	generalization	NOUN
fcis-31263	53	2	across	across	ADP
fcis-31263	53	3	datasets	dataset	NOUN
fcis-31263	53	4	:	:	PUNCT
fcis-31263	53	5	the	the	DET
fcis-31263	53	6	architecture	architecture	NOUN
fcis-31263	53	7	adapts	adapt	VERB
fcis-31263	53	8	well	well	ADV
fcis-31263	53	9	to	to	ADP
fcis-31263	53	10	various	various	ADJ
fcis-31263	53	11	eeg	eeg	NOUN
fcis-31263	53	12	configurations	configuration	NOUN
fcis-31263	53	13	and	and	CCONJ
fcis-31263	53	14	tasks	task	NOUN
fcis-31263	53	15	,	,	PUNCT
fcis-31263	53	16	demonstrating	demonstrate	VERB
fcis-31263	53	17	strong	strong	ADJ
fcis-31263	53	18	cross	cross	ADJ
fcis-31263	53	19	-	-	ADJ
fcis-31263	53	20	dataset	dataset	ADJ
fcis-31263	53	21	performance	performance	NOUN
fcis-31263	53	22	and	and	CCONJ
fcis-31263	53	23	transferability	transferability	NOUN
fcis-31263	53	24	.	.	PUNCT
fcis-31263	54	1	5	5	X
fcis-31263	54	2	.	.	X
fcis-31263	54	3	innovations	innovation	NOUN
fcis-31263	54	4	multimodal	multimodal	NOUN
fcis-31263	54	5	fusion	fusion	NOUN
fcis-31263	54	6	architecture	architecture	NOUN
fcis-31263	54	7	:	:	PUNCT
fcis-31263	54	8	simultaneously	simultaneously	ADV
fcis-31263	54	9	captures	capture	VERB
fcis-31263	54	10	local	local	ADJ
fcis-31263	54	11	frequency	frequency	NOUN
fcis-31263	54	12	features	feature	NOUN
fcis-31263	54	13	and	and	CCONJ
fcis-31263	54	14	global	global	ADJ
fcis-31263	54	15	temporal	temporal	ADJ
fcis-31263	54	16	dynamics	dynamic	NOUN
fcis-31263	54	17	.	.	PUNCT
fcis-31263	55	1	gelu	gelu	ADJ
fcis-31263	55	2	activation	activation	NOUN
fcis-31263	55	3	:	:	PUNCT
fcis-31263	55	4	replaces	replace	VERB
fcis-31263	55	5	relu	relu	NOUN
fcis-31263	55	6	to	to	PART
fcis-31263	55	7	mitigate	mitigate	VERB
fcis-31263	55	8	dead	dead	ADJ
fcis-31263	55	9	neuron	neuron	NOUN
fcis-31263	55	10	problems	problem	NOUN
fcis-31263	55	11	and	and	CCONJ
fcis-31263	55	12	improve	improve	VERB
fcis-31263	55	13	training	train	VERB
fcis-31263	55	14	stability	stability	NOUN
fcis-31263	55	15	.	.	PUNCT
fcis-31263	56	1	cross	cross	ADJ
fcis-31263	56	2	-	-	ADJ
fcis-31263	56	3	dataset	dataset	ADJ
fcis-31263	56	4	generalization	generalization	NOUN
fcis-31263	56	5	:	:	PUNCT
fcis-31263	56	6	training	training	NOUN
fcis-31263	56	7	on	on	ADP
fcis-31263	56	8	diverse	diverse	ADJ
fcis-31263	56	9	datasets	dataset	NOUN
fcis-31263	56	10	improves	improve	VERB
fcis-31263	56	11	the	the	DET
fcis-31263	56	12	model	model	NOUN
fcis-31263	56	13	’s	’s	PART
fcis-31263	56	14	robustness	robustness	NOUN
fcis-31263	56	15	and	and	CCONJ
fcis-31263	56	16	diagnostic	diagnostic	ADJ
fcis-31263	56	17	reliability	reliability	NOUN
fcis-31263	56	18	.	.	PUNCT
fcis-31263	57	1	6	6	X
fcis-31263	57	2	.	.	X
fcis-31263	57	3	experimental	experimental	ADJ
fcis-31263	57	4	results	result	NOUN
fcis-31263	57	5	the	the	DET
fcis-31263	57	6	model	model	NOUN
fcis-31263	57	7	achieves	achieve	VERB
fcis-31263	57	8	stable	stable	ADJ
fcis-31263	57	9	performance	performance	NOUN
fcis-31263	57	10	on	on	ADP
fcis-31263	57	11	the	the	DET
fcis-31263	57	12	deep	deep	ADJ
fcis-31263	57	13	learning	learn	VERB
fcis-31263	57	14	eeg	eeg	NOUN
fcis-31263	57	15	dataset	dataset	VERB
fcis-31263	57	16	with	with	ADP
fcis-31263	57	17	99.01	99.01	NUM
fcis-31263	57	18	%	%	NOUN
fcis-31263	57	19	classification	classification	NOUN
fcis-31263	57	20	accuracy	accuracy	NOUN
fcis-31263	57	21	.	.	PUNCT
fcis-31263	58	1	metrics	metric	NOUN
fcis-31263	58	2	such	such	ADJ
fcis-31263	58	3	as	as	ADP
fcis-31263	58	4	recall	recall	NOUN
fcis-31263	58	5	and	and	CCONJ
fcis-31263	58	6	f1	f1	NOUN
fcis-31263	58	7	-	-	PUNCT
fcis-31263	58	8	score	score	NOUN
fcis-31263	58	9	exhibit	exhibit	NOUN
fcis-31263	58	10	consistent	consistent	ADJ
fcis-31263	58	11	improvement	improvement	NOUN
fcis-31263	58	12	across	across	ADP
fcis-31263	58	13	validation	validation	NOUN
fcis-31263	58	14	and	and	CCONJ
fcis-31263	58	15	test	test	NOUN
fcis-31263	58	16	sets	set	NOUN
fcis-31263	58	17	.	.	PUNCT
fcis-31263	59	1	loss	loss	NOUN
fcis-31263	59	2	curves	curve	NOUN
fcis-31263	59	3	show	show	NOUN
fcis-31263	59	4	convergence	convergence	NOUN
fcis-31263	59	5	,	,	PUNCT
fcis-31263	59	6	confirming	confirm	VERB
fcis-31263	59	7	model	model	NOUN
fcis-31263	59	8	effectiveness	effectiveness	NOUN
fcis-31263	59	9	.	.	PUNCT
fcis-31263	60	1	all	all	DET
fcis-31263	60	2	experiments	experiment	NOUN
fcis-31263	60	3	were	be	AUX
fcis-31263	60	4	conducted	conduct	VERB
fcis-31263	60	5	using	use	VERB
fcis-31263	60	6	pytorch	pytorch	NOUN
fcis-31263	60	7	1.11.3	1.11.3	PROPN
fcis-31263	60	8	on	on	ADP
fcis-31263	60	9	an	an	DET
fcis-31263	60	10	nvidia	nvidia	PROPN
fcis-31263	60	11	rtx	rtx	PROPN
fcis-31263	60	12	3090	3090	NUM
fcis-31263	60	13	gpu	gpu	NOUN
fcis-31263	60	14	,	,	PUNCT
fcis-31263	60	15	enabling	enable	VERB
fcis-31263	60	16	efficient	efficient	ADJ
fcis-31263	60	17	training	training	NOUN
fcis-31263	60	18	and	and	CCONJ
fcis-31263	60	19	deployment	deployment	NOUN
fcis-31263	60	20	.	.	PUNCT
fcis-31263	61	1	7	7	X
fcis-31263	61	2	.	.	X
fcis-31263	61	3	conclusion	conclusion	NOUN
fcis-31263	61	4	this	this	DET
fcis-31263	61	5	study	study	NOUN
fcis-31263	61	6	presents	present	VERB
fcis-31263	61	7	a	a	DET
fcis-31263	61	8	novel	novel	ADJ
fcis-31263	61	9	adhd	adhd	NOUN
fcis-31263	61	10	diagnosis	diagnosis	NOUN
fcis-31263	61	11	method	method	NOUN
fcis-31263	61	12	based	base	VERB
fcis-31263	61	13	on	on	ADP
fcis-31263	61	14	eeg	eeg	NOUN
fcis-31263	61	15	signals	signal	NOUN
fcis-31263	61	16	and	and	CCONJ
fcis-31263	61	17	a	a	DET
fcis-31263	61	18	hybrid	hybrid	ADJ
fcis-31263	61	19	conformer	conformer	NOUN
fcis-31263	61	20	architecture	architecture	NOUN
fcis-31263	61	21	.	.	PUNCT
fcis-31263	62	1	the	the	DET
fcis-31263	62	2	results	result	NOUN
fcis-31263	62	3	show	show	VERB
fcis-31263	62	4	significant	significant	ADJ
fcis-31263	62	5	improvements	improvement	NOUN
fcis-31263	62	6	in	in	ADP
fcis-31263	62	7	diagnostic	diagnostic	ADJ
fcis-31263	62	8	accuracy	accuracy	NOUN
fcis-31263	62	9	,	,	PUNCT
fcis-31263	62	10	model	model	NOUN
fcis-31263	62	11	robustness	robustness	NOUN
fcis-31263	62	12	,	,	PUNCT
fcis-31263	62	13	and	and	CCONJ
fcis-31263	62	14	training	training	NOUN
fcis-31263	62	15	convergence	convergence	NOUN
fcis-31263	62	16	.	.	PUNCT
fcis-31263	63	1	the	the	DET
fcis-31263	63	2	proposed	propose	VERB
fcis-31263	63	3	model	model	NOUN
fcis-31263	63	4	offers	offer	VERB
fcis-31263	63	5	a	a	DET
fcis-31263	63	6	powerful	powerful	ADJ
fcis-31263	63	7	,	,	PUNCT
fcis-31263	63	8	objective	objective	ADJ
fcis-31263	63	9	tool	tool	NOUN
fcis-31263	63	10	to	to	PART
fcis-31263	63	11	assist	assist	VERB
fcis-31263	63	12	clinicians	clinician	NOUN
fcis-31263	63	13	in	in	ADP
fcis-31263	63	14	diagnosing	diagnose	VERB
fcis-31263	63	15	adhd	adhd	NOUN
fcis-31263	63	16	.	.	PUNCT
fcis-31263	64	1	future	future	ADJ
fcis-31263	64	2	work	work	NOUN
fcis-31263	64	3	will	will	AUX
fcis-31263	64	4	explore	explore	VERB
fcis-31263	64	5	model	model	NOUN
fcis-31263	64	6	compression	compression	NOUN
fcis-31263	64	7	and	and	CCONJ
fcis-31263	64	8	real	real	ADJ
fcis-31263	64	9	-	-	PUNCT
fcis-31263	64	10	time	time	NOUN
fcis-31263	64	11	deployment	deployment	NOUN
fcis-31263	64	12	on	on	ADP
fcis-31263	64	13	portable	portable	ADJ
fcis-31263	64	14	bci	bci	ADJ
fcis-31263	64	15	devices	device	NOUN
fcis-31263	64	16	.	.	PUNCT
fcis-31263	65	1	acknowledgments	acknowledgment	NOUN
fcis-31263	65	2	this	this	DET
fcis-31263	65	3	work	work	NOUN
fcis-31263	65	4	was	be	AUX
fcis-31263	65	5	supported	support	VERB
fcis-31263	65	6	by	by	ADP
fcis-31263	65	7	the	the	DET
fcis-31263	65	8	innovation	innovation	NOUN
fcis-31263	65	9	and	and	CCONJ
fcis-31263	65	10	entrepreneurship	entrepreneurship	NOUN
fcis-31263	65	11	training	training	NOUN
fcis-31263	65	12	program	program	NOUN
fcis-31263	65	13	for	for	ADP
fcis-31263	65	14	college	college	NOUN
fcis-31263	65	15	students	student	NOUN
fcis-31263	65	16	of	of	ADP
fcis-31263	65	17	university	university	NOUN
fcis-31263	65	18	of	of	ADP
fcis-31263	65	19	science	science	NOUN
fcis-31263	65	20	and	and	CCONJ
fcis-31263	65	21	technology	technology	NOUN
fcis-31263	65	22	liaoning	liaoning	PROPN
fcis-31263	65	23	2024	2024	NUM
fcis-31263	65	24	.	.	PUNCT
fcis-31263	66	1	references	reference	NOUN
fcis-31263	66	2	[	[	X
fcis-31263	66	3	1	1	NUM
fcis-31263	66	4	]	]	X
fcis-31263	66	5	arns	arns	PROPN
fcis-31263	66	6	m	m	PROPN
fcis-31263	66	7	,	,	PUNCT
fcis-31263	66	8	conners	conners	PROPN
fcis-31263	66	9	c	c	PROPN
fcis-31263	66	10	k	k	PROPN
fcis-31263	66	11	,	,	PUNCT
fcis-31263	66	12	kraemer	kraemer	PROPN
fcis-31263	66	13	h	h	PROPN
fcis-31263	66	14	c.	c.	PROPN
fcis-31263	66	15	a	a	DET
fcis-31263	66	16	decade	decade	NOUN
fcis-31263	66	17	of	of	ADP
fcis-31263	66	18	eeg	eeg	NOUN
fcis-31263	66	19	theta	theta	NOUN
fcis-31263	66	20	/	/	SYM
fcis-31263	66	21	beta	beta	NOUN
fcis-31263	66	22	ratio	ratio	NOUN
fcis-31263	66	23	research	research	NOUN
fcis-31263	66	24	in	in	ADP
fcis-31263	66	25	adhd	adhd	NOUN
fcis-31263	66	26	:	:	PUNCT
fcis-31263	66	27	a	a	DET
fcis-31263	66	28	meta	meta	ADJ
fcis-31263	66	29	-	-	PUNCT
fcis-31263	66	30	analysis	analysis	NOUN
fcis-31263	66	31	.	.	PUNCT
fcis-31263	67	1	journal	journal	NOUN
fcis-31263	67	2	of	of	ADP
fcis-31263	67	3	attention	attention	NOUN
fcis-31263	67	4	disorders	disorder	NOUN
fcis-31263	67	5	,	,	PUNCT
fcis-31263	67	6	2013	2013	NUM
fcis-31263	67	7	,	,	PUNCT
fcis-31263	67	8	17(5	17(5	NUM
fcis-31263	67	9	):	):	PUNCT
fcis-31263	67	10	374–383	374–383	NUM
fcis-31263	67	11	.	.	PUNCT
fcis-31263	68	1	[	[	X
fcis-31263	68	2	2	2	NUM
fcis-31263	68	3	]	]	SYM
fcis-31263	68	4	li	li	PROPN
fcis-31263	68	5	y	y	PROPN
fcis-31263	68	6	,	,	PUNCT
fcis-31263	68	7	li	li	PROPN
fcis-31263	68	8	x	x	PROPN
fcis-31263	68	9	,	,	PUNCT
fcis-31263	68	10	zhang	zhang	PROPN
fcis-31263	68	11	q	q	PROPN
fcis-31263	68	12	,	,	PUNCT
fcis-31263	68	13	et	et	PROPN
fcis-31263	68	14	al	al	PROPN
fcis-31263	68	15	.	.	PROPN
fcis-31263	68	16	eeg	eeg	PROPN
fcis-31263	68	17	-	-	PUNCT
fcis-31263	68	18	based	base	VERB
fcis-31263	68	19	diagnosis	diagnosis	NOUN
fcis-31263	68	20	of	of	ADP
fcis-31263	68	21	adhd	adhd	NOUN
fcis-31263	68	22	using	use	VERB
fcis-31263	68	23	hybrid	hybrid	ADJ
fcis-31263	68	24	cnn	cnn	PROPN
fcis-31263	68	25	-	-	PUNCT
fcis-31263	68	26	lstm	lstm	PROPN
fcis-31263	68	27	model	model	NOUN
fcis-31263	68	28	.	.	PUNCT
fcis-31263	69	1	ieee	ieee	NOUN
fcis-31263	69	2	access	access	NOUN
fcis-31263	69	3	,	,	PUNCT
fcis-31263	69	4	2020	2020	NUM
fcis-31263	69	5	,	,	PUNCT
fcis-31263	69	6	8	8	NUM
fcis-31263	69	7	:	:	SYM
fcis-31263	69	8	108766–108774	108766–108774	NUM
fcis-31263	69	9	.	.	PUNCT
fcis-31263	70	1	[	[	X
fcis-31263	70	2	3	3	X
fcis-31263	70	3	]	]	X
fcis-31263	70	4	vaswani	vaswani	NOUN
fcis-31263	70	5	a	a	PRON
fcis-31263	70	6	,	,	PUNCT
fcis-31263	70	7	shazeer	shazeer	NOUN
fcis-31263	70	8	n	n	SYM
fcis-31263	70	9	,	,	PUNCT
fcis-31263	70	10	parmar	parmar	PROPN
fcis-31263	70	11	n	n	CCONJ
fcis-31263	70	12	,	,	PUNCT
fcis-31263	70	13	et	et	PROPN
fcis-31263	70	14	al	al	PROPN
fcis-31263	70	15	.	.	PUNCT
fcis-31263	70	16	attention	attention	NOUN
fcis-31263	70	17	is	be	AUX
fcis-31263	70	18	all	all	PRON
fcis-31263	70	19	you	you	PRON
fcis-31263	70	20	need	need	VERB
fcis-31263	70	21	.	.	PUNCT
fcis-31263	71	1	advances	advance	NOUN
fcis-31263	71	2	in	in	ADP
fcis-31263	71	3	neural	neural	ADJ
fcis-31263	71	4	information	information	NOUN
fcis-31263	71	5	processing	processing	NOUN
fcis-31263	71	6	systems	system	NOUN
fcis-31263	71	7	(	(	PUNCT
fcis-31263	71	8	neurips	neurip	NOUN
fcis-31263	71	9	)	)	PUNCT
fcis-31263	71	10	,	,	PUNCT
fcis-31263	71	11	2017	2017	NUM
fcis-31263	71	12	,	,	PUNCT
fcis-31263	71	13	30	30	NUM
fcis-31263	71	14	:	:	PUNCT
fcis-31263	71	15	5998–6008	5998–6008	NUM
fcis-31263	71	16	.	.	PUNCT