id	sid	tid	token	lemma	pos
ap-1791	1	1	acta	acta	PROPN
ap-1791	1	2	polytechnica	polytechnica	PROPN
ap-1791	1	3	acta	acta	PROPN
ap-1791	1	4	polytechnica	polytechnica	PROPN
ap-1791	1	5	53(2):94–97	53(2):94–97	NUM
ap-1791	1	6	,	,	PUNCT
ap-1791	1	7	2013	2013	NUM
ap-1791	1	8	©	©	PROPN
ap-1791	1	9	czech	czech	PROPN
ap-1791	1	10	technical	technical	PROPN
ap-1791	1	11	university	university	PROPN
ap-1791	1	12	in	in	ADP
ap-1791	1	13	prague	prague	PROPN
ap-1791	1	14	,	,	PUNCT
ap-1791	1	15	2013	2013	NUM
ap-1791	1	16	available	available	ADJ
ap-1791	1	17	online	online	ADV
ap-1791	1	18	at	at	ADP
ap-1791	1	19	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	PROPN
ap-1791	1	20	predictive	predictive	ADJ
ap-1791	1	21	models	model	NOUN
ap-1791	1	22	in	in	ADP
ap-1791	1	23	diagnosis	diagnosis	NOUN
ap-1791	1	24	of	of	ADP
ap-1791	1	25	alzheimer	alzheimer	PROPN
ap-1791	1	26	’s	’s	PART
ap-1791	1	27	disease	disease	NOUN
ap-1791	1	28	from	from	ADP
ap-1791	1	29	eeg	eeg	PROPN
ap-1791	1	30	lucie	lucie	PROPN
ap-1791	1	31	tylovaa,∗	tylovaa,∗	PROPN
ap-1791	1	32	,	,	PUNCT
ap-1791	1	33	jaromir	jaromir	PROPN
ap-1791	1	34	kukala	kukala	PROPN
ap-1791	1	35	,	,	PUNCT
ap-1791	1	36	oldrich	oldrich	PROPN
ap-1791	1	37	vysatab	vysatab	VERB
ap-1791	1	38	a	a	DET
ap-1791	1	39	faculty	faculty	NOUN
ap-1791	1	40	of	of	ADP
ap-1791	1	41	nuclear	nuclear	ADJ
ap-1791	1	42	sciences	science	NOUN
ap-1791	1	43	and	and	CCONJ
ap-1791	1	44	physical	physical	ADJ
ap-1791	1	45	engineering	engineering	NOUN
ap-1791	1	46	,	,	PUNCT
ap-1791	1	47	czech	czech	PROPN
ap-1791	1	48	technical	technical	PROPN
ap-1791	1	49	university	university	PROPN
ap-1791	1	50	in	in	ADP
ap-1791	1	51	prague	prague	PROPN
ap-1791	1	52	,	,	PUNCT
ap-1791	1	53	department	department	NOUN
ap-1791	1	54	of	of	ADP
ap-1791	1	55	software	software	NOUN
ap-1791	1	56	engineering	engineering	NOUN
ap-1791	1	57	in	in	ADP
ap-1791	1	58	economy	economy	NOUN
ap-1791	1	59	,	,	PUNCT
ap-1791	1	60	trojanova	trojanova	X
ap-1791	1	61	13	13	NUM
ap-1791	1	62	,	,	PUNCT
ap-1791	1	63	120	120	NUM
ap-1791	1	64	00	00	NUM
ap-1791	1	65	praha	praha	PROPN
ap-1791	1	66	2	2	NUM
ap-1791	1	67	,	,	PUNCT
ap-1791	1	68	czech	czech	PROPN
ap-1791	1	69	republic	republic	PROPN
ap-1791	1	70	b	b	PROPN
ap-1791	1	71	department	department	PROPN
ap-1791	1	72	of	of	ADP
ap-1791	1	73	computing	computing	NOUN
ap-1791	1	74	and	and	CCONJ
ap-1791	1	75	control	control	PROPN
ap-1791	1	76	engineering	engineering	NOUN
ap-1791	1	77	,	,	PUNCT
ap-1791	1	78	faculty	faculty	NOUN
ap-1791	1	79	of	of	ADP
ap-1791	1	80	chemical	chemical	PROPN
ap-1791	1	81	engineering	engineering	PROPN
ap-1791	1	82	,	,	PUNCT
ap-1791	1	83	institute	institute	NOUN
ap-1791	1	84	of	of	ADP
ap-1791	1	85	chemical	chemical	PROPN
ap-1791	1	86	technology	technology	NOUN
ap-1791	1	87	in	in	ADP
ap-1791	1	88	prague	prague	PROPN
ap-1791	1	89	∗	∗	NOUN
ap-1791	1	90	corresponding	correspond	VERB
ap-1791	1	91	author	author	NOUN
ap-1791	1	92	:	:	PUNCT
ap-1791	1	93	tylovluc@fjfi.cvut.cz	tylovluc@fjfi.cvut.cz	PART
ap-1791	1	94	abstract	abstract	NOUN
ap-1791	1	95	.	.	PUNCT
ap-1791	2	1	the	the	DET
ap-1791	2	2	fluctuation	fluctuation	NOUN
ap-1791	2	3	of	of	ADP
ap-1791	2	4	an	an	DET
ap-1791	2	5	eeg	eeg	NOUN
ap-1791	2	6	signal	signal	NOUN
ap-1791	2	7	is	be	AUX
ap-1791	2	8	a	a	DET
ap-1791	2	9	useful	useful	ADJ
ap-1791	2	10	symptom	symptom	NOUN
ap-1791	2	11	of	of	ADP
ap-1791	2	12	eeg	eeg	PROPN
ap-1791	2	13	quasi	quasi	NOUN
ap-1791	2	14	-	-	NOUN
ap-1791	2	15	stationarity	stationarity	NOUN
ap-1791	2	16	.	.	PUNCT
ap-1791	3	1	linear	linear	ADJ
ap-1791	3	2	predictive	predictive	ADJ
ap-1791	3	3	models	model	NOUN
ap-1791	3	4	of	of	ADP
ap-1791	3	5	three	three	NUM
ap-1791	3	6	types	type	NOUN
ap-1791	3	7	and	and	CCONJ
ap-1791	3	8	their	their	PRON
ap-1791	3	9	prediction	prediction	NOUN
ap-1791	3	10	error	error	NOUN
ap-1791	3	11	are	be	AUX
ap-1791	3	12	studied	study	VERB
ap-1791	3	13	via	via	ADP
ap-1791	3	14	traditional	traditional	ADJ
ap-1791	3	15	and	and	CCONJ
ap-1791	3	16	robust	robust	ADJ
ap-1791	3	17	measures	measure	NOUN
ap-1791	3	18	.	.	PUNCT
ap-1791	4	1	the	the	DET
ap-1791	4	2	resulting	result	VERB
ap-1791	4	3	eeg	eeg	NOUN
ap-1791	4	4	characteristics	characteristic	NOUN
ap-1791	4	5	are	be	AUX
ap-1791	4	6	applied	apply	VERB
ap-1791	4	7	to	to	ADP
ap-1791	4	8	the	the	DET
ap-1791	4	9	diagnosis	diagnosis	NOUN
ap-1791	4	10	of	of	ADP
ap-1791	4	11	alzehimer	alzehimer	NOUN
ap-1791	4	12	’s	’s	PART
ap-1791	4	13	disease	disease	NOUN
ap-1791	4	14	.	.	PUNCT
ap-1791	5	1	our	our	PRON
ap-1791	5	2	aim	aim	NOUN
ap-1791	5	3	is	be	AUX
ap-1791	5	4	to	to	PART
ap-1791	5	5	decide	decide	VERB
ap-1791	5	6	among	among	ADP
ap-1791	5	7	:	:	PUNCT
ap-1791	5	8	forward	forward	ADV
ap-1791	5	9	,	,	PUNCT
ap-1791	5	10	backward	backward	ADV
ap-1791	5	11	,	,	PUNCT
ap-1791	5	12	and	and	CCONJ
ap-1791	5	13	predictive	predictive	ADJ
ap-1791	5	14	models	model	NOUN
ap-1791	5	15	,	,	PUNCT
ap-1791	5	16	eeg	eeg	NOUN
ap-1791	5	17	channels	channel	NOUN
ap-1791	5	18	,	,	PUNCT
ap-1791	5	19	and	and	CCONJ
ap-1791	5	20	also	also	ADV
ap-1791	5	21	robust	robust	ADJ
ap-1791	5	22	and	and	CCONJ
ap-1791	5	23	non	non	ADJ
ap-1791	5	24	-	-	ADJ
ap-1791	5	25	robust	robust	ADJ
ap-1791	5	26	variability	variability	NOUN
ap-1791	5	27	measures	measure	NOUN
ap-1791	5	28	,	,	PUNCT
ap-1791	5	29	and	and	CCONJ
ap-1791	5	30	then	then	ADV
ap-1791	5	31	to	to	PART
ap-1791	5	32	find	find	VERB
ap-1791	5	33	statistically	statistically	ADV
ap-1791	5	34	significant	significant	ADJ
ap-1791	5	35	measures	measure	NOUN
ap-1791	5	36	for	for	ADP
ap-1791	5	37	use	use	NOUN
ap-1791	5	38	in	in	ADP
ap-1791	5	39	the	the	DET
ap-1791	5	40	diagnosis	diagnosis	NOUN
ap-1791	5	41	of	of	ADP
ap-1791	5	42	alzheimer	alzheimer	PROPN
ap-1791	5	43	’s	’s	PART
ap-1791	5	44	disease	disease	NOUN
ap-1791	5	45	from	from	ADP
ap-1791	5	46	eeg	eeg	PROPN
ap-1791	5	47	.	.	PUNCT
ap-1791	6	1	keywords	keyword	NOUN
ap-1791	6	2	:	:	PUNCT
ap-1791	6	3	alzheimer	alzheimer	PROPN
ap-1791	6	4	’s	’s	PART
ap-1791	6	5	disease	disease	NOUN
ap-1791	6	6	,	,	PUNCT
ap-1791	6	7	eeg	eeg	PROPN
ap-1791	6	8	,	,	PUNCT
ap-1791	6	9	linear	linear	ADJ
ap-1791	6	10	predictive	predictive	ADJ
ap-1791	6	11	model	model	NOUN
ap-1791	6	12	,	,	PUNCT
ap-1791	6	13	quasi	quasi	ADJ
ap-1791	6	14	-	-	NOUN
ap-1791	6	15	stationarity	stationarity	ADJ
ap-1791	6	16	,	,	PUNCT
ap-1791	6	17	robust	robust	ADJ
ap-1791	6	18	statistics	statistic	NOUN
ap-1791	6	19	,	,	PUNCT
ap-1791	6	20	multiple	multiple	ADJ
ap-1791	6	21	testing	testing	NOUN
ap-1791	6	22	,	,	PUNCT
ap-1791	6	23	fdr	fdr	PROPN
ap-1791	6	24	.	.	PROPN
ap-1791	6	25	1	1	NUM
ap-1791	6	26	.	.	X
ap-1791	6	27	introduction	introduction	NOUN
ap-1791	6	28	dementia	dementia	NOUN
ap-1791	6	29	is	be	AUX
ap-1791	6	30	a	a	DET
ap-1791	6	31	set	set	NOUN
ap-1791	6	32	of	of	ADP
ap-1791	6	33	clinical	clinical	ADJ
ap-1791	6	34	symptoms	symptom	NOUN
ap-1791	6	35	,	,	PUNCT
ap-1791	6	36	e.g.	e.g.	ADV
ap-1791	6	37	,	,	PUNCT
ap-1791	6	38	memory	memory	NOUN
ap-1791	6	39	loss	loss	NOUN
ap-1791	6	40	and	and	CCONJ
ap-1791	6	41	communicative	communicative	ADJ
ap-1791	6	42	difficulties	difficulty	NOUN
ap-1791	6	43	.	.	PUNCT
ap-1791	7	1	two	two	NUM
ap-1791	7	2	main	main	ADJ
ap-1791	7	3	categories	category	NOUN
ap-1791	7	4	are	be	AUX
ap-1791	7	5	cortical	cortical	ADJ
ap-1791	7	6	and	and	CCONJ
ap-1791	7	7	subcortical	subcortical	ADJ
ap-1791	7	8	dementias	dementia	NOUN
ap-1791	7	9	.	.	PUNCT
ap-1791	8	1	the	the	DET
ap-1791	8	2	most	most	ADV
ap-1791	8	3	important	important	ADJ
ap-1791	8	4	cortical	cortical	ADJ
ap-1791	8	5	dementia	dementia	NOUN
ap-1791	8	6	,	,	PUNCT
ap-1791	8	7	which	which	PRON
ap-1791	8	8	accounts	account	VERB
ap-1791	8	9	for	for	ADP
ap-1791	8	10	about	about	ADV
ap-1791	8	11	50	50	NUM
ap-1791	8	12	%	%	NOUN
ap-1791	8	13	of	of	ADP
ap-1791	8	14	the	the	DET
ap-1791	8	15	cases	case	NOUN
ap-1791	8	16	,	,	PUNCT
ap-1791	8	17	is	be	AUX
ap-1791	8	18	alzheimer	alzheimer	PROPN
ap-1791	8	19	’s	’s	PART
ap-1791	8	20	disease	disease	NOUN
ap-1791	8	21	.	.	PUNCT
ap-1791	9	1	in	in	ADP
ap-1791	9	2	patients	patient	NOUN
ap-1791	9	3	with	with	ADP
ap-1791	9	4	alzheimer	alzheimer	PROPN
ap-1791	9	5	’s	’s	PART
ap-1791	9	6	disease	disease	NOUN
ap-1791	9	7	,	,	PUNCT
ap-1791	9	8	brain	brain	NOUN
ap-1791	9	9	cells	cell	NOUN
ap-1791	9	10	die	die	VERB
ap-1791	9	11	quickly	quickly	ADV
ap-1791	9	12	and	and	CCONJ
ap-1791	9	13	the	the	DET
ap-1791	9	14	chemistry	chemistry	NOUN
ap-1791	9	15	and	and	CCONJ
ap-1791	9	16	structure	structure	NOUN
ap-1791	9	17	of	of	ADP
ap-1791	9	18	the	the	DET
ap-1791	9	19	brain	brain	NOUN
ap-1791	9	20	is	be	AUX
ap-1791	9	21	changed	change	VERB
ap-1791	9	22	.	.	PUNCT
ap-1791	10	1	eeg	eeg	PROPN
ap-1791	10	2	is	be	AUX
ap-1791	10	3	used	use	VERB
ap-1791	10	4	to	to	PART
ap-1791	10	5	study	study	VERB
ap-1791	10	6	and	and	CCONJ
ap-1791	10	7	detect	detect	VERB
ap-1791	10	8	abnormalities	abnormality	NOUN
ap-1791	10	9	caused	cause	VERB
ap-1791	10	10	by	by	ADP
ap-1791	10	11	dementia	dementia	NOUN
ap-1791	10	12	.	.	PUNCT
ap-1791	11	1	biological	biological	ADJ
ap-1791	11	2	rest	rest	NOUN
ap-1791	11	3	is	be	AUX
ap-1791	11	4	an	an	DET
ap-1791	11	5	endogenously	endogenously	ADV
ap-1791	11	6	dynamic	dynamic	ADJ
ap-1791	11	7	process	process	NOUN
ap-1791	11	8	.	.	PUNCT
ap-1791	12	1	transient	transient	ADJ
ap-1791	12	2	eeg	eeg	NOUN
ap-1791	12	3	events	event	NOUN
ap-1791	12	4	identify	identify	VERB
ap-1791	12	5	and	and	CCONJ
ap-1791	12	6	quantify	quantify	VERB
ap-1791	12	7	brain	brain	NOUN
ap-1791	12	8	electric	electric	ADJ
ap-1791	12	9	microstates	microstate	NOUN
ap-1791	12	10	as	as	ADP
ap-1791	12	11	time	time	NOUN
ap-1791	12	12	epochs	epoch	NOUN
ap-1791	12	13	with	with	ADP
ap-1791	12	14	a	a	DET
ap-1791	12	15	quasi	quasi	ADJ
ap-1791	12	16	-	-	ADJ
ap-1791	12	17	stable	stable	ADJ
ap-1791	12	18	field	field	NOUN
ap-1791	12	19	topography	topography	NOUN
ap-1791	13	1	[	[	X
ap-1791	13	2	1	1	NUM
ap-1791	13	3	]	]	PUNCT
ap-1791	13	4	.	.	PUNCT
ap-1791	14	1	we	we	PRON
ap-1791	14	2	can	can	AUX
ap-1791	14	3	assume	assume	VERB
ap-1791	14	4	better	well	ADJ
ap-1791	14	5	predictability	predictability	NOUN
ap-1791	14	6	inside	inside	ADP
ap-1791	14	7	microstates	microstate	NOUN
ap-1791	14	8	,	,	PUNCT
ap-1791	14	9	lower	low	ADJ
ap-1791	14	10	predictability	predictability	NOUN
ap-1791	14	11	during	during	ADP
ap-1791	14	12	changes	change	NOUN
ap-1791	14	13	between	between	ADP
ap-1791	14	14	microstates	microstate	NOUN
ap-1791	14	15	.	.	PUNCT
ap-1791	15	1	higher	high	ADJ
ap-1791	15	2	fluctuations	fluctuation	NOUN
ap-1791	15	3	of	of	ADP
ap-1791	15	4	eeg	eeg	NOUN
ap-1791	15	5	predictability	predictability	NOUN
ap-1791	15	6	may	may	AUX
ap-1791	15	7	be	be	AUX
ap-1791	15	8	connected	connect	VERB
ap-1791	15	9	with	with	ADP
ap-1791	15	10	higher	high	ADJ
ap-1791	15	11	frequency	frequency	NOUN
ap-1791	15	12	of	of	ADP
ap-1791	15	13	microstate	microstate	ADJ
ap-1791	15	14	changes	change	NOUN
ap-1791	15	15	.	.	PUNCT
ap-1791	16	1	falk	falk	NOUN
ap-1791	16	2	et	et	PROPN
ap-1791	16	3	al	al	PROPN
ap-1791	16	4	.	.	PUNCT
ap-1791	17	1	[	[	X
ap-1791	17	2	2	2	X
ap-1791	17	3	]	]	PUNCT
ap-1791	17	4	analysed	analyse	VERB
ap-1791	17	5	an	an	DET
ap-1791	17	6	eeg	eeg	NOUN
ap-1791	17	7	signal	signal	NOUN
ap-1791	17	8	via	via	ADP
ap-1791	17	9	its	its	PRON
ap-1791	17	10	envelope	envelope	NOUN
ap-1791	17	11	.	.	PUNCT
ap-1791	18	1	they	they	PRON
ap-1791	18	2	first	first	ADV
ap-1791	18	3	constructed	construct	VERB
ap-1791	18	4	the	the	DET
ap-1791	18	5	modulation	modulation	NOUN
ap-1791	18	6	spectrum	spectrum	NOUN
ap-1791	18	7	and	and	CCONJ
ap-1791	18	8	found	find	VERB
ap-1791	18	9	the	the	DET
ap-1791	18	10	region	region	NOUN
ap-1791	18	11	of	of	ADP
ap-1791	18	12	significant	significant	ADJ
ap-1791	18	13	spectral	spectral	ADJ
ap-1791	18	14	peaks	peak	NOUN
ap-1791	18	15	(	(	PUNCT
ap-1791	18	16	sp	sp	NOUN
ap-1791	18	17	)	)	PUNCT
ap-1791	18	18	.	.	PUNCT
ap-1791	19	1	this	this	DET
ap-1791	19	2	technique	technique	NOUN
ap-1791	19	3	achieves	achieve	VERB
ap-1791	19	4	accuracy	accuracy	NOUN
ap-1791	19	5	81.3	81.3	NUM
ap-1791	19	6	%	%	NOUN
ap-1791	19	7	with	with	ADP
ap-1791	19	8	sensitivity	sensitivity	NOUN
ap-1791	19	9	85.7	85.7	NUM
ap-1791	19	10	%	%	NOUN
ap-1791	19	11	and	and	CCONJ
ap-1791	19	12	specificity	specificity	NOUN
ap-1791	19	13	72.7	72.7	NUM
ap-1791	19	14	%	%	NOUN
ap-1791	19	15	.	.	PUNCT
ap-1791	20	1	after	after	ADP
ap-1791	20	2	the	the	DET
ap-1791	20	3	hilbert	hilbert	PROPN
ap-1791	20	4	transform	transform	NOUN
ap-1791	20	5	,	,	PUNCT
ap-1791	20	6	they	they	PRON
ap-1791	20	7	also	also	ADV
ap-1791	20	8	calculated	calculate	VERB
ap-1791	20	9	the	the	DET
ap-1791	20	10	percentage	percentage	NOUN
ap-1791	20	11	modulation	modulation	NOUN
ap-1791	20	12	energy	energy	NOUN
ap-1791	20	13	(	(	PUNCT
ap-1791	20	14	pme	pme	PROPN
ap-1791	20	15	)	)	PUNCT
ap-1791	20	16	with	with	ADP
ap-1791	20	17	better	well	ADJ
ap-1791	20	18	accuracy	accuracy	NOUN
ap-1791	20	19	90.6	90.6	NUM
ap-1791	20	20	%	%	NOUN
ap-1791	20	21	,	,	PUNCT
ap-1791	20	22	sensitivity	sensitivity	NOUN
ap-1791	20	23	90.5	90.5	NUM
ap-1791	20	24	%	%	NOUN
ap-1791	20	25	,	,	PUNCT
ap-1791	20	26	and	and	CCONJ
ap-1791	20	27	specificity	specificity	NOUN
ap-1791	20	28	90.9	90.9	NUM
ap-1791	20	29	%	%	NOUN
ap-1791	20	30	.	.	PUNCT
ap-1791	21	1	another	another	DET
ap-1791	21	2	approach	approach	NOUN
ap-1791	21	3	was	be	AUX
ap-1791	21	4	used	use	VERB
ap-1791	21	5	by	by	ADP
ap-1791	21	6	ahmadlou	ahmadlou	ADV
ap-1791	21	7	et	et	PROPN
ap-1791	21	8	al	al	PROPN
ap-1791	21	9	.	.	PUNCT
ap-1791	22	1	[	[	X
ap-1791	22	2	3	3	NUM
ap-1791	22	3	]	]	PUNCT
ap-1791	22	4	.	.	PUNCT
ap-1791	23	1	the	the	DET
ap-1791	23	2	first	first	ADJ
ap-1791	23	3	step	step	NOUN
ap-1791	23	4	in	in	ADP
ap-1791	23	5	their	their	PRON
ap-1791	23	6	approach	approach	NOUN
ap-1791	23	7	was	be	AUX
ap-1791	23	8	based	base	VERB
ap-1791	23	9	on	on	ADP
ap-1791	23	10	wavelet	wavelet	NOUN
ap-1791	23	11	decomposition	decomposition	NOUN
ap-1791	23	12	.	.	PUNCT
ap-1791	24	1	the	the	DET
ap-1791	24	2	resulting	result	VERB
ap-1791	24	3	patterns	pattern	NOUN
ap-1791	24	4	were	be	AUX
ap-1791	24	5	processed	process	VERB
ap-1791	24	6	by	by	ADP
ap-1791	24	7	the	the	DET
ap-1791	24	8	visibility	visibility	NOUN
ap-1791	24	9	graph	graph	NOUN
ap-1791	24	10	algorithm	algorithm	NOUN
ap-1791	24	11	(	(	PUNCT
ap-1791	24	12	vga	vga	NOUN
ap-1791	24	13	)	)	PUNCT
ap-1791	24	14	.	.	PUNCT
ap-1791	25	1	the	the	DET
ap-1791	25	2	power	power	NOUN
ap-1791	25	3	spectrum	spectrum	NOUN
ap-1791	25	4	of	of	ADP
ap-1791	25	5	the	the	DET
ap-1791	25	6	vga	vga	NOUN
ap-1791	25	7	structures	structure	NOUN
ap-1791	25	8	was	be	AUX
ap-1791	25	9	used	use	VERB
ap-1791	25	10	for	for	ADP
ap-1791	25	11	feature	feature	NOUN
ap-1791	25	12	extraction	extraction	NOUN
ap-1791	25	13	.	.	PUNCT
ap-1791	26	1	two	two	NUM
ap-1791	26	2	types	type	NOUN
ap-1791	26	3	of	of	ADP
ap-1791	26	4	classifier	classifier	NOUN
ap-1791	26	5	(	(	PUNCT
ap-1791	26	6	rbfnn	rbfnn	PROPN
ap-1791	26	7	,	,	PUNCT
ap-1791	26	8	pca	pca	NOUN
ap-1791	26	9	-	-	PUNCT
ap-1791	26	10	rbfnn	rbfnn	NOUN
ap-1791	26	11	)	)	PUNCT
ap-1791	26	12	were	be	AUX
ap-1791	26	13	used	use	VERB
ap-1791	26	14	for	for	ADP
ap-1791	26	15	the	the	DET
ap-1791	26	16	final	final	ADJ
ap-1791	26	17	decision	decision	NOUN
ap-1791	26	18	.	.	PUNCT
ap-1791	27	1	the	the	DET
ap-1791	27	2	accuracy	accuracy	NOUN
ap-1791	27	3	was	be	AUX
ap-1791	27	4	96.50	96.50	NUM
ap-1791	27	5	%	%	NOUN
ap-1791	27	6	with	with	ADP
ap-1791	27	7	sensitivity	sensitivity	NOUN
ap-1791	27	8	100	100	NUM
ap-1791	27	9	%	%	NOUN
ap-1791	27	10	and	and	CCONJ
ap-1791	27	11	specificity	specificity	NOUN
ap-1791	27	12	87.03	87.03	NUM
ap-1791	27	13	%	%	NOUN
ap-1791	27	14	in	in	ADP
ap-1791	27	15	the	the	DET
ap-1791	27	16	case	case	NOUN
ap-1791	27	17	of	of	ADP
ap-1791	27	18	rbfnn	rbfnn	NOUN
ap-1791	27	19	.	.	PUNCT
ap-1791	28	1	pca	pca	NOUN
ap-1791	28	2	-	-	PUNCT
ap-1791	28	3	rbfnn	rbfnn	PROPN
ap-1791	28	4	increased	increase	VERB
ap-1791	28	5	the	the	DET
ap-1791	28	6	accuracy	accuracy	NOUN
ap-1791	28	7	to	to	ADP
ap-1791	28	8	97.75	97.75	NUM
ap-1791	28	9	%	%	NOUN
ap-1791	28	10	with	with	ADP
ap-1791	28	11	sensitivity	sensitivity	NOUN
ap-1791	28	12	100	100	NUM
ap-1791	28	13	%	%	NOUN
ap-1791	28	14	and	and	CCONJ
ap-1791	28	15	specificity	specificity	NOUN
ap-1791	28	16	91.08	91.08	NUM
ap-1791	28	17	%	%	NOUN
ap-1791	28	18	.	.	PUNCT
ap-1791	29	1	2	2	X
ap-1791	29	2	.	.	NOUN
ap-1791	29	3	models	model	VERB
ap-1791	29	4	the	the	DET
ap-1791	29	5	main	main	ADJ
ap-1791	29	6	hypothesis	hypothesis	NOUN
ap-1791	29	7	of	of	ADP
ap-1791	29	8	this	this	DET
ap-1791	29	9	work	work	NOUN
ap-1791	29	10	is	be	AUX
ap-1791	29	11	that	that	SCONJ
ap-1791	29	12	predictability	predictability	NOUN
ap-1791	29	13	of	of	ADP
ap-1791	29	14	the	the	DET
ap-1791	29	15	brain	brain	NOUN
ap-1791	29	16	activity	activity	NOUN
ap-1791	29	17	differs	differ	VERB
ap-1791	29	18	between	between	ADP
ap-1791	29	19	groups	group	NOUN
ap-1791	29	20	of	of	ADP
ap-1791	29	21	patients	patient	NOUN
ap-1791	29	22	with	with	ADP
ap-1791	29	23	alzheimer	alzheimer	PROPN
ap-1791	29	24	’s	’s	PART
ap-1791	29	25	disease	disease	NOUN
ap-1791	29	26	(	(	PUNCT
ap-1791	29	27	ad	ad	NOUN
ap-1791	29	28	)	)	PUNCT
ap-1791	29	29	and	and	CCONJ
ap-1791	29	30	normal	normal	ADJ
ap-1791	29	31	controls	control	NOUN
ap-1791	29	32	(	(	PUNCT
ap-1791	29	33	cn	cn	NOUN
ap-1791	29	34	)	)	PUNCT
ap-1791	29	35	.	.	PUNCT
ap-1791	30	1	the	the	DET
ap-1791	30	2	activity	activity	NOUN
ap-1791	30	3	of	of	ADP
ap-1791	30	4	the	the	DET
ap-1791	30	5	human	human	ADJ
ap-1791	30	6	brain	brain	NOUN
ap-1791	30	7	is	be	AUX
ap-1791	30	8	measured	measure	VERB
ap-1791	30	9	via	via	ADP
ap-1791	30	10	multichannel	multichannel	PROPN
ap-1791	30	11	eeg	eeg	PROPN
ap-1791	30	12	,	,	PUNCT
ap-1791	30	13	which	which	PRON
ap-1791	30	14	produces	produce	VERB
ap-1791	30	15	a	a	DET
ap-1791	30	16	time	time	NOUN
ap-1791	30	17	series	series	NOUN
ap-1791	30	18	.	.	PUNCT
ap-1791	31	1	on	on	ADP
ap-1791	31	2	the	the	DET
ap-1791	31	3	basis	basis	NOUN
ap-1791	31	4	of	of	ADP
ap-1791	31	5	the	the	DET
ap-1791	31	6	quasi	quasi	NOUN
ap-1791	31	7	-	-	NOUN
ap-1791	31	8	stationarity	stationarity	NOUN
ap-1791	31	9	of	of	ADP
ap-1791	31	10	the	the	DET
ap-1791	31	11	eeg	eeg	NOUN
ap-1791	31	12	signal	signal	NOUN
ap-1791	31	13	,	,	PUNCT
ap-1791	31	14	the	the	DET
ap-1791	31	15	time	time	NOUN
ap-1791	31	16	series	series	NOUN
ap-1791	31	17	were	be	AUX
ap-1791	31	18	decomposed	decompose	VERB
ap-1791	31	19	into	into	ADP
ap-1791	31	20	non	non	ADJ
ap-1791	31	21	-	-	ADJ
ap-1791	31	22	overlapping	overlapping	ADJ
ap-1791	31	23	segments	segment	NOUN
ap-1791	31	24	of	of	ADP
ap-1791	31	25	constant	constant	ADJ
ap-1791	31	26	length	length	NOUN
ap-1791	31	27	.	.	PUNCT
ap-1791	32	1	each	each	DET
ap-1791	32	2	segment	segment	NOUN
ap-1791	32	3	of	of	ADP
ap-1791	32	4	a	a	DET
ap-1791	32	5	given	give	VERB
ap-1791	32	6	eeg	eeg	NOUN
ap-1791	32	7	channel	channel	NOUN
ap-1791	32	8	and	and	CCONJ
ap-1791	32	9	of	of	ADP
ap-1791	32	10	each	each	DET
ap-1791	32	11	patient	patient	NOUN
ap-1791	32	12	produced	produce	VERB
ap-1791	32	13	a	a	DET
ap-1791	32	14	short	short	ADJ
ap-1791	32	15	time	time	NOUN
ap-1791	32	16	series	series	NOUN
ap-1791	32	17	,	,	PUNCT
ap-1791	32	18	the	the	DET
ap-1791	32	19	properties	property	NOUN
ap-1791	32	20	of	of	ADP
ap-1791	32	21	which	which	PRON
ap-1791	32	22	were	be	AUX
ap-1791	32	23	studied	study	VERB
ap-1791	32	24	via	via	ADP
ap-1791	32	25	linear	linear	ADJ
ap-1791	32	26	autoregressive	autoregressive	ADJ
ap-1791	32	27	models	model	NOUN
ap-1791	32	28	of	of	ADP
ap-1791	32	29	three	three	NUM
ap-1791	32	30	types	type	NOUN
ap-1791	32	31	.	.	PUNCT
ap-1791	33	1	2.1	2.1	NUM
ap-1791	33	2	.	.	PUNCT
ap-1791	33	3	predictive	predictive	ADJ
ap-1791	33	4	model	model	NOUN
ap-1791	33	5	let	let	VERB
ap-1791	33	6	m	m	PRON
ap-1791	33	7	be	be	AUX
ap-1791	33	8	the	the	DET
ap-1791	33	9	length	length	NOUN
ap-1791	33	10	of	of	ADP
ap-1791	33	11	a	a	DET
ap-1791	33	12	segment	segment	NOUN
ap-1791	33	13	.	.	PUNCT
ap-1791	34	1	let	let	VERB
ap-1791	34	2	n	n	PRON
ap-1791	34	3	be	be	AUX
ap-1791	34	4	the	the	DET
ap-1791	34	5	model	model	NOUN
ap-1791	34	6	size	size	NOUN
ap-1791	34	7	as	as	ADP
ap-1791	34	8	a	a	DET
ap-1791	34	9	number	number	NOUN
ap-1791	34	10	of	of	ADP
ap-1791	34	11	parameters	parameter	NOUN
ap-1791	34	12	.	.	PUNCT
ap-1791	35	1	let	let	VERB
ap-1791	35	2	x1	x1	NUM
ap-1791	35	3	,	,	PUNCT
ap-1791	35	4	.	.	PUNCT
ap-1791	35	5	.	.	PUNCT
ap-1791	36	1	.	.	PUNCT
ap-1791	37	1	,	,	PUNCT
ap-1791	37	2	xm	xm	PROPN
ap-1791	37	3	be	be	AUX
ap-1791	37	4	an	an	DET
ap-1791	37	5	eeg	eeg	NOUN
ap-1791	37	6	[	[	X
ap-1791	37	7	4	4	NUM
ap-1791	37	8	]	]	PUNCT
ap-1791	37	9	data	datum	NOUN
ap-1791	37	10	segment	segment	NOUN
ap-1791	37	11	.	.	PUNCT
ap-1791	38	1	the	the	DET
ap-1791	38	2	linear	linear	ADJ
ap-1791	38	3	predictive	predictive	ADJ
ap-1791	38	4	model	model	NOUN
ap-1791	38	5	has	have	VERB
ap-1791	38	6	the	the	DET
ap-1791	38	7	form	form	NOUN
ap-1791	38	8	xk	xk	PUNCT
ap-1791	39	1	=	=	PUNCT
ap-1791	39	2	n∑	n∑	PROPN
ap-1791	39	3	i=1	i=1	PRON
ap-1791	39	4	aixk−i	aixk−i	X
ap-1791	40	1	+	+	CCONJ
ap-1791	40	2	ek	ek	ADJ
ap-1791	40	3	,	,	PUNCT
ap-1791	40	4	,	,	PUNCT
ap-1791	40	5	(	(	PUNCT
ap-1791	40	6	1	1	X
ap-1791	40	7	)	)	PUNCT
ap-1791	40	8	for	for	ADP
ap-1791	40	9	k	k	PROPN
ap-1791	40	10	=	=	SYM
ap-1791	40	11	n+1	n+1	PROPN
ap-1791	40	12	,	,	PUNCT
ap-1791	40	13	.	.	PUNCT
ap-1791	40	14	.	.	PUNCT
ap-1791	41	1	.	.	PUNCT
ap-1791	42	1	,	,	PUNCT
ap-1791	42	2	m	m	PROPN
ap-1791	42	3	,	,	PUNCT
ap-1791	42	4	where	where	SCONJ
ap-1791	42	5	ek	ek	PROPN
ap-1791	42	6	is	be	AUX
ap-1791	42	7	the	the	DET
ap-1791	42	8	model	model	NOUN
ap-1791	42	9	error	error	NOUN
ap-1791	42	10	in	in	ADP
ap-1791	42	11	the	the	DET
ap-1791	42	12	k	k	PROPN
ap-1791	42	13	-	-	PUNCT
ap-1791	42	14	th	th	VERB
ap-1791	42	15	measurement	measurement	NOUN
ap-1791	42	16	and	and	CCONJ
ap-1791	42	17	ai	ai	NOUN
ap-1791	42	18	is	be	AUX
ap-1791	42	19	the	the	DET
ap-1791	42	20	model	model	NOUN
ap-1791	42	21	parameter	parameter	NOUN
ap-1791	42	22	for	for	ADP
ap-1791	42	23	i	i	PROPN
ap-1791	42	24	=	=	NOUN
ap-1791	42	25	1	1	NUM
ap-1791	42	26	,	,	PUNCT
ap-1791	42	27	.	.	PUNCT
ap-1791	42	28	.	.	PUNCT
ap-1791	43	1	.	.	PUNCT
ap-1791	44	1	,	,	PUNCT
ap-1791	44	2	n.	n.	NOUN
ap-1791	44	3	formula	formula	NOUN
ap-1791	44	4	(	(	PUNCT
ap-1791	44	5	1	1	X
ap-1791	44	6	)	)	PUNCT
ap-1791	44	7	represents	represent	VERB
ap-1791	44	8	the	the	DET
ap-1791	44	9	traditional	traditional	ADJ
ap-1791	44	10	ar	ar	NOUN
ap-1791	44	11	(	(	PUNCT
ap-1791	44	12	autoregressive	autoregressive	ADJ
ap-1791	44	13	)	)	PUNCT
ap-1791	44	14	model	model	NOUN
ap-1791	45	1	[	[	X
ap-1791	45	2	5	5	NUM
ap-1791	45	3	]	]	PUNCT
ap-1791	45	4	.	.	PUNCT
ap-1791	46	1	2.2	2.2	NUM
ap-1791	46	2	.	.	PUNCT
ap-1791	47	1	back	back	ADJ
ap-1791	47	2	-	-	PUNCT
ap-1791	47	3	predictive	predictive	NOUN
ap-1791	47	4	model	model	NOUN
ap-1791	47	5	the	the	DET
ap-1791	47	6	predictive	predictive	PROPN
ap-1791	47	7	ar	ar	PROPN
ap-1791	47	8	model	model	NOUN
ap-1791	47	9	(	(	PUNCT
ap-1791	47	10	1	1	X
ap-1791	47	11	)	)	PUNCT
ap-1791	47	12	can	can	AUX
ap-1791	47	13	also	also	ADV
ap-1791	47	14	be	be	AUX
ap-1791	47	15	used	use	VERB
ap-1791	47	16	in	in	ADP
ap-1791	47	17	the	the	DET
ap-1791	47	18	opposite	opposite	ADJ
ap-1791	47	19	time	time	NOUN
ap-1791	47	20	direction	direction	NOUN
ap-1791	47	21	.	.	PUNCT
ap-1791	48	1	the	the	DET
ap-1791	48	2	resulting	result	VERB
ap-1791	48	3	model	model	NOUN
ap-1791	48	4	is	be	AUX
ap-1791	48	5	xk	xk	PROPN
ap-1791	48	6	=	=	PROPN
ap-1791	48	7	n∑	n∑	PROPN
ap-1791	48	8	i=1	i=1	PROPN
ap-1791	49	1	aixk+i	aixk+i	PROPN
ap-1791	50	1	+	+	CCONJ
ap-1791	50	2	ek	ek	ADJ
ap-1791	50	3	,	,	PUNCT
ap-1791	50	4	(	(	PUNCT
ap-1791	50	5	2	2	NUM
ap-1791	50	6	)	)	PUNCT
ap-1791	50	7	94	94	NUM
ap-1791	51	1	http://ctn.cvut.cz/ap/	http://ctn.cvut.cz/ap/	ADJ
ap-1791	51	2	vol	vol	NOUN
ap-1791	51	3	.	.	PUNCT
ap-1791	52	1	53	53	NUM
ap-1791	52	2	no	no	NOUN
ap-1791	52	3	.	.	PUNCT
ap-1791	53	1	2/2013	2/2013	NUM
ap-1791	53	2	predictive	predictive	ADJ
ap-1791	53	3	models	model	NOUN
ap-1791	53	4	in	in	ADP
ap-1791	53	5	diagnosis	diagnosis	NOUN
ap-1791	53	6	of	of	ADP
ap-1791	53	7	alzheimer	alzheimer	PROPN
ap-1791	53	8	’s	’s	PART
ap-1791	53	9	disease	disease	NOUN
ap-1791	53	10	from	from	ADP
ap-1791	53	11	eeg	eeg	PROPN
ap-1791	53	12	ch	ch	NOUN
ap-1791	53	13	predictive	predictive	ADJ
ap-1791	53	14	back	back	ADJ
ap-1791	53	15	-	-	PUNCT
ap-1791	53	16	predictive	predictive	NOUN
ap-1791	53	17	symmetric	symmetric	ADJ
ap-1791	53	18	std	std	NOUN
ap-1791	53	19	mad1	mad1	PROPN
ap-1791	53	20	mad2	mad2	PROPN
ap-1791	53	21	std	std	NOUN
ap-1791	53	22	mad1	mad1	PROPN
ap-1791	53	23	mad2	mad2	PROPN
ap-1791	53	24	std	std	NOUN
ap-1791	53	25	mad1	mad1	PROPN
ap-1791	53	26	mad2	mad2	PROPN
ap-1791	53	27	1	1	NUM
ap-1791	53	28	0.1027	0.1027	NUM
ap-1791	53	29	0.0402	0.0402	NUM
ap-1791	53	30	0.0314	0.0314	NUM
ap-1791	53	31	0.0711	0.0711	NUM
ap-1791	53	32	0.0338	0.0338	NUM
ap-1791	53	33	0.0270	0.0270	NUM
ap-1791	53	34	0.0503	0.0503	NUM
ap-1791	53	35	0.0131	0.0131	NUM
ap-1791	53	36	0.0074	0.0074	NUM
ap-1791	53	37	2	2	NUM
ap-1791	53	38	0.0065	0.0065	NUM
ap-1791	53	39	0.0016	0.0016	NUM
ap-1791	53	40	6.52·10−4	6.52·10−4	NUM
ap-1791	53	41	0.0031	0.0031	NUM
ap-1791	53	42	0.0012	0.0012	NUM
ap-1791	53	43	5.06·10−4	5.06·10−4	NUM
ap-1791	53	44	0.0015	0.0015	NUM
ap-1791	53	45	2.16·10−4	2.16·10−4	NUM
ap-1791	53	46	6.00·10−5	6.00·10−5	NUM
ap-1791	53	47	3	3	NUM
ap-1791	53	48	0.0121	0.0121	NUM
ap-1791	53	49	0.0038	0.0038	NUM
ap-1791	53	50	0.0014	0.0014	NUM
ap-1791	53	51	0.0141	0.0141	NUM
ap-1791	53	52	0.0035	0.0035	NUM
ap-1791	53	53	0.0013	0.0013	NUM
ap-1791	53	54	0.0172	0.0172	NUM
ap-1791	53	55	0.0010	0.0010	NUM
ap-1791	53	56	2.24·10−4	2.24·10−4	NUM
ap-1791	53	57	4	4	NUM
ap-1791	53	58	0.1408	0.1408	NUM
ap-1791	53	59	0.0612	0.0612	NUM
ap-1791	53	60	0.0337	0.0337	NUM
ap-1791	53	61	0.1470	0.1470	NUM
ap-1791	53	62	0.0540	0.0540	NUM
ap-1791	54	1	0.0308	0.0308	NUM
ap-1791	54	2	0.0635	0.0635	NUM
ap-1791	54	3	0.0081	0.0081	NUM
ap-1791	54	4	0.0029	0.0029	NUM
ap-1791	54	5	5	5	NUM
ap-1791	54	6	0.2551	0.2551	NUM
ap-1791	54	7	0.1906	0.1906	NUM
ap-1791	54	8	0.1277	0.1277	NUM
ap-1791	54	9	0.2573	0.2573	NUM
ap-1791	54	10	0.1690	0.1690	NUM
ap-1791	54	11	0.1141	0.1141	NUM
ap-1791	54	12	0.2063	0.2063	NUM
ap-1791	54	13	0.0867	0.0867	NUM
ap-1791	54	14	0.0441	0.0441	NUM
ap-1791	54	15	6	6	NUM
ap-1791	54	16	0.0643	0.0643	NUM
ap-1791	54	17	0.0476	0.0476	NUM
ap-1791	54	18	0.0275	0.0275	NUM
ap-1791	54	19	0.0647	0.0647	NUM
ap-1791	54	20	0.0391	0.0391	NUM
ap-1791	54	21	0.0223	0.0223	NUM
ap-1791	54	22	0.0417	0.0417	NUM
ap-1791	54	23	0.0165	0.0165	NUM
ap-1791	54	24	0.0064	0.0064	NUM
ap-1791	54	25	7	7	NUM
ap-1791	54	26	0.0279	0.0279	NUM
ap-1791	54	27	0.0192	0.0192	NUM
ap-1791	54	28	0.0103	0.0103	NUM
ap-1791	54	29	0.0232	0.0232	NUM
ap-1791	54	30	0.0166	0.0166	NUM
ap-1791	54	31	0.0086	0.0086	NUM
ap-1791	54	32	0.0288	0.0288	NUM
ap-1791	54	33	0.0214	0.0214	NUM
ap-1791	54	34	0.0091	0.0091	NUM
ap-1791	54	35	8	8	NUM
ap-1791	54	36	0.0917	0.0917	NUM
ap-1791	54	37	0.1619	0.1619	NUM
ap-1791	54	38	0.1290	0.1290	NUM
ap-1791	54	39	0.0947	0.0947	NUM
ap-1791	54	40	0.1474	0.1474	NUM
ap-1791	55	1	0.1152	0.1152	NUM
ap-1791	55	2	0.0572	0.0572	NUM
ap-1791	55	3	0.0908	0.0908	NUM
ap-1791	55	4	0.0664	0.0664	NUM
ap-1791	55	5	9	9	NUM
ap-1791	55	6	0.1780	0.1780	NUM
ap-1791	55	7	0.2093	0.2093	NUM
ap-1791	55	8	0.1512	0.1512	NUM
ap-1791	55	9	0.1815	0.1815	NUM
ap-1791	56	1	0.1797	0.1797	NUM
ap-1791	56	2	0.1308	0.1308	NUM
ap-1791	56	3	0.1862	0.1862	NUM
ap-1791	56	4	0.0832	0.0832	NUM
ap-1791	56	5	0.0504	0.0504	NUM
ap-1791	56	6	10	10	NUM
ap-1791	56	7	0.6823	0.6823	NUM
ap-1791	56	8	0.8572	0.8572	NUM
ap-1791	56	9	0.8429	0.8429	NUM
ap-1791	56	10	0.7739	0.7739	NUM
ap-1791	56	11	0.8309	0.8309	NUM
ap-1791	56	12	0.8136	0.8136	NUM
ap-1791	56	13	0.6093	0.6093	NUM
ap-1791	56	14	0.6226	0.6226	NUM
ap-1791	56	15	0.5553	0.5553	NUM
ap-1791	56	16	11	11	NUM
ap-1791	56	17	0.2358	0.2358	NUM
ap-1791	56	18	0.1763	0.1763	NUM
ap-1791	57	1	0.1203	0.1203	NUM
ap-1791	57	2	0.2218	0.2218	NUM
ap-1791	57	3	0.1540	0.1540	NUM
ap-1791	57	4	0.1046	0.1046	NUM
ap-1791	57	5	0.1234	0.1234	NUM
ap-1791	57	6	0.0527	0.0527	NUM
ap-1791	57	7	0.0255	0.0255	NUM
ap-1791	57	8	12	12	NUM
ap-1791	57	9	0.0910	0.0910	NUM
ap-1791	57	10	0.0598	0.0598	NUM
ap-1791	57	11	0.0467	0.0467	NUM
ap-1791	57	12	0.0924	0.0924	NUM
ap-1791	57	13	0.0545	0.0545	NUM
ap-1791	57	14	0.0446	0.0446	NUM
ap-1791	57	15	0.0359	0.0359	NUM
ap-1791	57	16	0.0285	0.0285	NUM
ap-1791	57	17	0.0216	0.0216	NUM
ap-1791	57	18	13	13	NUM
ap-1791	57	19	0.1183	0.1183	NUM
ap-1791	57	20	0.2376	0.2376	NUM
ap-1791	57	21	0.1806	0.1806	NUM
ap-1791	57	22	0.0953	0.0953	NUM
ap-1791	57	23	0.2120	0.2120	NUM
ap-1791	57	24	0.1607	0.1607	NUM
ap-1791	57	25	0.0997	0.0997	NUM
ap-1791	57	26	0.1113	0.1113	NUM
ap-1791	57	27	0.0602	0.0602	NUM
ap-1791	57	28	14	14	NUM
ap-1791	57	29	0.1027	0.1027	NUM
ap-1791	57	30	0.1964	0.1964	NUM
ap-1791	57	31	0.1744	0.1744	NUM
ap-1791	57	32	0.1114	0.1114	NUM
ap-1791	57	33	0.1779	0.1779	NUM
ap-1791	57	34	0.1595	0.1595	NUM
ap-1791	57	35	0.0706	0.0706	NUM
ap-1791	57	36	0.0827	0.0827	NUM
ap-1791	57	37	0.0558	0.0558	NUM
ap-1791	58	1	15	15	NUM
ap-1791	58	2	0.2297	0.2297	NUM
ap-1791	58	3	0.2925	0.2925	NUM
ap-1791	58	4	0.2539	0.2539	NUM
ap-1791	58	5	0.2363	0.2363	NUM
ap-1791	58	6	0.2521	0.2521	NUM
ap-1791	58	7	0.2174	0.2174	NUM
ap-1791	58	8	0.1673	0.1673	NUM
ap-1791	58	9	0.1517	0.1517	NUM
ap-1791	58	10	0.0985	0.0985	NUM
ap-1791	58	11	16	16	NUM
ap-1791	58	12	0.4478	0.4478	NUM
ap-1791	58	13	0.5942	0.5942	NUM
ap-1791	58	14	0.5282	0.5282	NUM
ap-1791	58	15	0.4009	0.4009	NUM
ap-1791	58	16	0.5395	0.5395	NUM
ap-1791	58	17	0.4806	0.4806	NUM
ap-1791	58	18	0.3636	0.3636	NUM
ap-1791	58	19	0.3136	0.3136	NUM
ap-1791	58	20	0.2170	0.2170	NUM
ap-1791	58	21	17	17	NUM
ap-1791	58	22	0.0680	0.0680	NUM
ap-1791	58	23	0.1197	0.1197	NUM
ap-1791	58	24	0.1094	0.1094	NUM
ap-1791	58	25	0.0437	0.0437	NUM
ap-1791	58	26	0.1070	0.1070	NUM
ap-1791	58	27	0.0965	0.0965	NUM
ap-1791	58	28	0.0288	0.0288	NUM
ap-1791	58	29	0.0304	0.0304	NUM
ap-1791	58	30	0.0175	0.0175	NUM
ap-1791	58	31	18	18	NUM
ap-1791	58	32	0.0418	0.0418	NUM
ap-1791	58	33	0.0634	0.0634	NUM
ap-1791	58	34	0.0595	0.0595	NUM
ap-1791	58	35	0.0545	0.0545	NUM
ap-1791	58	36	0.0694	0.0694	NUM
ap-1791	58	37	0.0654	0.0654	NUM
ap-1791	58	38	0.0296	0.0296	NUM
ap-1791	58	39	0.0299	0.0299	NUM
ap-1791	58	40	0.0219	0.0219	NUM
ap-1791	58	41	19	19	NUM
ap-1791	58	42	0.2875	0.2875	NUM
ap-1791	58	43	0.3889	0.3889	NUM
ap-1791	58	44	0.3288	0.3288	NUM
ap-1791	58	45	0.2483	0.2483	NUM
ap-1791	58	46	0.3431	0.3431	NUM
ap-1791	58	47	0.2868	0.2868	NUM
ap-1791	58	48	0.1506	0.1506	NUM
ap-1791	58	49	0.1568	0.1568	NUM
ap-1791	58	50	0.1025	0.1025	NUM
ap-1791	58	51	table	table	NOUN
ap-1791	58	52	1	1	NUM
ap-1791	58	53	.	.	PUNCT
ap-1791	59	1	traditional	traditional	ADJ
ap-1791	59	2	fluctuation	fluctuation	NOUN
ap-1791	59	3	measures	measure	NOUN
ap-1791	59	4	.	.	PUNCT
ap-1791	60	1	where	where	SCONJ
ap-1791	60	2	ek	ek	PROPN
ap-1791	60	3	is	be	AUX
ap-1791	60	4	again	again	ADV
ap-1791	60	5	the	the	DET
ap-1791	60	6	model	model	NOUN
ap-1791	60	7	error	error	NOUN
ap-1791	60	8	,	,	PUNCT
ap-1791	60	9	but	but	CCONJ
ap-1791	60	10	for	for	ADP
ap-1791	60	11	k	k	PROPN
ap-1791	60	12	=	=	SYM
ap-1791	60	13	1	1	NUM
ap-1791	60	14	,	,	PUNCT
ap-1791	60	15	.	.	PUNCT
ap-1791	61	1	.	.	PUNCT
ap-1791	62	1	.	.	PUNCT
ap-1791	63	1	,	,	PUNCT
ap-1791	63	2	m−	m−	PROPN
ap-1791	63	3	n.	n.	PROPN
ap-1791	63	4	2.3	2.3	NUM
ap-1791	63	5	.	.	PUNCT
ap-1791	64	1	symmetric	symmetric	ADJ
ap-1791	64	2	model	model	NOUN
ap-1791	64	3	the	the	DET
ap-1791	64	4	third	third	ADJ
ap-1791	64	5	ar	ar	NOUN
ap-1791	64	6	model	model	NOUN
ap-1791	64	7	is	be	AUX
ap-1791	64	8	symmetric	symmetric	ADJ
ap-1791	64	9	,	,	PUNCT
ap-1791	64	10	and	and	CCONJ
ap-1791	64	11	thus	thus	ADV
ap-1791	64	12	with	with	ADP
ap-1791	64	13	lower	low	ADJ
ap-1791	64	14	prediction	prediction	NOUN
ap-1791	64	15	error	error	NOUN
ap-1791	64	16	for	for	ADP
ap-1791	64	17	smooth	smooth	ADJ
ap-1791	64	18	signals	signal	NOUN
ap-1791	64	19	.	.	PUNCT
ap-1791	65	1	supposing	suppose	VERB
ap-1791	65	2	n	n	NOUN
ap-1791	65	3	is	be	AUX
ap-1791	65	4	even	even	ADV
ap-1791	65	5	,	,	PUNCT
ap-1791	65	6	the	the	DET
ap-1791	65	7	adequate	adequate	ADJ
ap-1791	65	8	model	model	NOUN
ap-1791	65	9	is	be	AUX
ap-1791	65	10	xk	xk	PROPN
ap-1791	65	11	=	=	PROPN
ap-1791	65	12	n/2∑	n/2∑	VERB
ap-1791	65	13	i=1	i=1	PRON
ap-1791	66	1	aixk−i	aixk−i	X
ap-1791	66	2	+	+	NUM
ap-1791	66	3	n/2∑	n/2∑	NOUN
ap-1791	66	4	i=1	i=1	PROPN
ap-1791	66	5	an/2+ixk+i	an/2+ixk+i	PROPN
ap-1791	66	6	+	+	CCONJ
ap-1791	66	7	ek	ek	PROPN
ap-1791	66	8	,	,	PUNCT
ap-1791	66	9	(	(	PUNCT
ap-1791	66	10	3	3	X
ap-1791	66	11	)	)	PUNCT
ap-1791	66	12	where	where	SCONJ
ap-1791	66	13	ek	ek	PROPN
ap-1791	66	14	is	be	AUX
ap-1791	66	15	the	the	DET
ap-1791	66	16	model	model	NOUN
ap-1791	66	17	error	error	NOUN
ap-1791	66	18	for	for	ADP
ap-1791	66	19	k	k	NOUN
ap-1791	66	20	=	=	PUNCT
ap-1791	66	21	n/2	n/2	PROPN
ap-1791	67	1	+	+	CCONJ
ap-1791	67	2	1	1	NUM
ap-1791	67	3	,	,	PUNCT
ap-1791	67	4	.	.	PUNCT
ap-1791	67	5	.	.	PUNCT
ap-1791	68	1	.	.	PUNCT
ap-1791	69	1	,	,	PUNCT
ap-1791	69	2	m−	m−	PROPN
ap-1791	69	3	n/2	n/2	NUM
ap-1791	69	4	.	.	PUNCT
ap-1791	70	1	2.4	2.4	NUM
ap-1791	70	2	.	.	PUNCT
ap-1791	70	3	model	model	NOUN
ap-1791	70	4	error	error	NOUN
ap-1791	70	5	the	the	DET
ap-1791	70	6	three	three	NUM
ap-1791	70	7	ar	ar	NOUN
ap-1791	70	8	models	model	NOUN
ap-1791	70	9	above	above	ADV
ap-1791	70	10	are	be	AUX
ap-1791	70	11	easily	easily	ADV
ap-1791	70	12	comparable	comparable	ADJ
ap-1791	70	13	,	,	PUNCT
ap-1791	70	14	because	because	SCONJ
ap-1791	70	15	they	they	PRON
ap-1791	70	16	produce	produce	VERB
ap-1791	70	17	an	an	DET
ap-1791	70	18	overdetermined	overdetermined	ADJ
ap-1791	70	19	system	system	NOUN
ap-1791	70	20	of	of	ADP
ap-1791	70	21	m	m	PROPN
ap-1791	70	22	=	=	SYM
ap-1791	70	23	m−	m−	PROPN
ap-1791	70	24	n	n	PRON
ap-1791	70	25	linear	linear	ADJ
ap-1791	70	26	equations	equation	NOUN
ap-1791	70	27	for	for	ADP
ap-1791	70	28	n	n	NUM
ap-1791	70	29	unknown	unknown	ADJ
ap-1791	70	30	variables	variable	NOUN
ap-1791	70	31	a1	a1	NOUN
ap-1791	70	32	,	,	PUNCT
ap-1791	70	33	.	.	PUNCT
ap-1791	70	34	.	.	PUNCT
ap-1791	71	1	.	.	PUNCT
ap-1791	72	1	,	,	PUNCT
ap-1791	72	2	an	an	X
ap-1791	72	3	.	.	PUNCT
ap-1791	73	1	the	the	DET
ap-1791	73	2	unknown	unknown	ADJ
ap-1791	73	3	parameters	parameter	NOUN
ap-1791	73	4	a1	a1	VERB
ap-1791	73	5	,	,	PUNCT
ap-1791	73	6	.	.	PUNCT
ap-1791	73	7	.	.	PUNCT
ap-1791	74	1	.	.	PUNCT
ap-1791	75	1	,	,	PUNCT
ap-1791	75	2	an	an	PRON
ap-1791	75	3	were	be	AUX
ap-1791	75	4	estimated	estimate	VERB
ap-1791	75	5	by	by	ADP
ap-1791	75	6	the	the	DET
ap-1791	75	7	method	method	NOUN
ap-1791	75	8	of	of	ADP
ap-1791	75	9	least	least	ADJ
ap-1791	75	10	squares	square	NOUN
ap-1791	75	11	(	(	PUNCT
ap-1791	75	12	lsq	lsq	NOUN
ap-1791	75	13	)	)	PUNCT
ap-1791	76	1	[	[	X
ap-1791	76	2	6	6	NUM
ap-1791	76	3	]	]	PUNCT
ap-1791	76	4	and	and	CCONJ
ap-1791	76	5	the	the	DET
ap-1791	76	6	residues	residue	NOUN
ap-1791	76	7	r1	r1	NOUN
ap-1791	76	8	,	,	PUNCT
ap-1791	76	9	.	.	PUNCT
ap-1791	76	10	.	.	PUNCT
ap-1791	76	11	.	.	PUNCT
ap-1791	77	1	,	,	PUNCT
ap-1791	77	2	rm	rm	PROPN
ap-1791	77	3	are	be	AUX
ap-1791	77	4	determined	determine	VERB
ap-1791	77	5	as	as	ADP
ap-1791	77	6	the	the	DET
ap-1791	77	7	difference	difference	NOUN
ap-1791	77	8	between	between	ADP
ap-1791	77	9	an	an	DET
ap-1791	77	10	observed	observed	ADJ
ap-1791	77	11	value	value	NOUN
ap-1791	77	12	and	and	CCONJ
ap-1791	77	13	a	a	DET
ap-1791	77	14	predicted	predict	VERB
ap-1791	77	15	value	value	NOUN
ap-1791	77	16	.	.	PUNCT
ap-1791	78	1	the	the	DET
ap-1791	78	2	estimate	estimate	NOUN
ap-1791	78	3	of	of	ADP
ap-1791	78	4	the	the	DET
ap-1791	78	5	prediction	prediction	NOUN
ap-1791	78	6	error	error	NOUN
ap-1791	78	7	inside	inside	ADP
ap-1791	78	8	the	the	DET
ap-1791	78	9	given	give	VERB
ap-1791	78	10	segment	segment	NOUN
ap-1791	78	11	is	be	AUX
ap-1791	78	12	se	se	X
ap-1791	78	13	=	=	SYM
ap-1791	78	14	√∑m	√∑m	X
ap-1791	78	15	i=1	i=1	X
ap-1791	78	16	ri	ri	PROPN
ap-1791	78	17	2	2	NUM
ap-1791	78	18	m	m	NOUN
ap-1791	78	19	−	−	NOUN
ap-1791	78	20	n	n	NOUN
ap-1791	78	21	.	.	PUNCT
ap-1791	79	1	(	(	PUNCT
ap-1791	79	2	4	4	NUM
ap-1791	79	3	)	)	SYM
ap-1791	79	4	3	3	NUM
ap-1791	79	5	.	.	X
ap-1791	80	1	fluctuation	fluctuation	NOUN
ap-1791	80	2	of	of	ADP
ap-1791	80	3	the	the	DET
ap-1791	80	4	model	model	NOUN
ap-1791	80	5	error	error	NOUN
ap-1791	80	6	three	three	NUM
ap-1791	80	7	basic	basic	ADJ
ap-1791	80	8	characteristics	characteristic	NOUN
ap-1791	80	9	were	be	AUX
ap-1791	80	10	used	use	VERB
ap-1791	80	11	to	to	PART
ap-1791	80	12	characterize	characterize	VERB
ap-1791	80	13	eeg	eeg	NOUN
ap-1791	80	14	fluctuations	fluctuation	NOUN
ap-1791	80	15	:	:	PUNCT
ap-1791	80	16	the	the	DET
ap-1791	80	17	standard	standard	ADJ
ap-1791	80	18	deviation	deviation	NOUN
ap-1791	80	19	(	(	PUNCT
ap-1791	80	20	std	std	NOUN
ap-1791	80	21	)	)	PUNCT
ap-1791	80	22	,	,	PUNCT
ap-1791	80	23	the	the	DET
ap-1791	80	24	mean	mean	NOUN
ap-1791	80	25	of	of	ADP
ap-1791	80	26	the	the	DET
ap-1791	80	27	absolute	absolute	ADJ
ap-1791	80	28	differences	difference	NOUN
ap-1791	80	29	from	from	ADP
ap-1791	80	30	the	the	DET
ap-1791	80	31	mean	mean	ADJ
ap-1791	80	32	value	value	NOUN
ap-1791	80	33	(	(	PUNCT
ap-1791	80	34	mad1	mad1	PROPN
ap-1791	80	35	)	)	PUNCT
ap-1791	80	36	,	,	PUNCT
ap-1791	80	37	and	and	CCONJ
ap-1791	80	38	the	the	DET
ap-1791	80	39	mean	mean	NOUN
ap-1791	80	40	of	of	ADP
ap-1791	80	41	the	the	DET
ap-1791	80	42	absolute	absolute	ADJ
ap-1791	80	43	differences	difference	NOUN
ap-1791	80	44	from	from	ADP
ap-1791	80	45	the	the	DET
ap-1791	80	46	median	median	ADJ
ap-1791	80	47	value	value	NOUN
ap-1791	80	48	(	(	PUNCT
ap-1791	80	49	mad2	mad2	PROPN
ap-1791	80	50	)	)	PUNCT
ap-1791	80	51	.	.	PUNCT
ap-1791	81	1	however	however	ADV
ap-1791	81	2	,	,	PUNCT
ap-1791	81	3	these	these	DET
ap-1791	81	4	characteristics	characteristic	NOUN
ap-1791	81	5	are	be	AUX
ap-1791	81	6	excessively	excessively	ADV
ap-1791	81	7	sensitive	sensitive	ADJ
ap-1791	81	8	to	to	ADP
ap-1791	81	9	outlier	outlier	NOUN
ap-1791	81	10	values	value	NOUN
ap-1791	81	11	.	.	PUNCT
ap-1791	82	1	we	we	PRON
ap-1791	82	2	preferred	prefer	VERB
ap-1791	82	3	robust	robust	ADJ
ap-1791	82	4	measures	measure	NOUN
ap-1791	82	5	of	of	ADP
ap-1791	82	6	eeg	eeg	NOUN
ap-1791	82	7	fluctuations	fluctuation	NOUN
ap-1791	82	8	:	:	PUNCT
ap-1791	82	9	the	the	DET
ap-1791	82	10	median	median	NOUN
ap-1791	82	11	of	of	ADP
ap-1791	82	12	the	the	DET
ap-1791	82	13	absolute	absolute	ADJ
ap-1791	82	14	differences	difference	NOUN
ap-1791	82	15	from	from	ADP
ap-1791	82	16	the	the	DET
ap-1791	82	17	median	median	NOUN
ap-1791	82	18	(	(	PUNCT
ap-1791	82	19	mad3	mad3	NOUN
ap-1791	82	20	)	)	PUNCT
ap-1791	82	21	,	,	PUNCT
ap-1791	82	22	the	the	DET
ap-1791	82	23	interquartile	interquartile	ADJ
ap-1791	82	24	range	range	NOUN
ap-1791	82	25	(	(	PUNCT
ap-1791	82	26	iqr	iqr	NOUN
ap-1791	82	27	)	)	PUNCT
ap-1791	82	28	,	,	PUNCT
ap-1791	82	29	and	and	CCONJ
ap-1791	82	30	the	the	DET
ap-1791	82	31	first	first	ADJ
ap-1791	82	32	quartile	quartile	NOUN
ap-1791	82	33	of	of	ADP
ap-1791	82	34	the	the	DET
ap-1791	82	35	absolute	absolute	ADJ
ap-1791	82	36	mutual	mutual	ADJ
ap-1791	82	37	differences	difference	NOUN
ap-1791	82	38	(	(	PUNCT
ap-1791	82	39	med	med	ADJ
ap-1791	82	40	)	)	PUNCT
ap-1791	82	41	.	.	PUNCT
ap-1791	83	1	let	let	VERB
ap-1791	83	2	n	n	PRON
ap-1791	83	3	be	be	AUX
ap-1791	83	4	the	the	DET
ap-1791	83	5	number	number	NOUN
ap-1791	83	6	of	of	ADP
ap-1791	83	7	eeg	eeg	PROPN
ap-1791	83	8	signal	signal	NOUN
ap-1791	83	9	segments	segment	NOUN
ap-1791	83	10	.	.	PUNCT
ap-1791	84	1	let	let	VERB
ap-1791	84	2	s	s	PRON
ap-1791	84	3	=	=	PUNCT
ap-1791	84	4	(	(	PUNCT
ap-1791	84	5	s1	s1	PROPN
ap-1791	84	6	,	,	PUNCT
ap-1791	84	7	s2	s2	NOUN
ap-1791	84	8	,	,	PUNCT
ap-1791	84	9	.	.	PUNCT
ap-1791	84	10	.	.	PUNCT
ap-1791	85	1	.	.	PUNCT
ap-1791	86	1	,	,	PUNCT
ap-1791	86	2	sn	sn	PROPN
ap-1791	86	3	)	)	PUNCT
ap-1791	86	4	be	be	AUX
ap-1791	86	5	the	the	DET
ap-1791	86	6	vector	vector	NOUN
ap-1791	86	7	of	of	ADP
ap-1791	86	8	errors	error	NOUN
ap-1791	86	9	(	(	PUNCT
ap-1791	86	10	4	4	NUM
ap-1791	86	11	)	)	PUNCT
ap-1791	86	12	in	in	ADP
ap-1791	86	13	all	all	DET
ap-1791	86	14	segments	segment	NOUN
ap-1791	86	15	.	.	PUNCT
ap-1791	87	1	let	let	VERB
ap-1791	87	2	q1	q1	PROPN
ap-1791	87	3	,	,	PUNCT
ap-1791	87	4	q2	q2	PROPN
ap-1791	87	5	,	,	PUNCT
ap-1791	87	6	q3	q3	PROPN
ap-1791	87	7	,	,	PUNCT
ap-1791	87	8	e	e	X
ap-1791	87	9	be	be	VERB
ap-1791	87	10	the	the	DET
ap-1791	87	11	first	first	ADJ
ap-1791	87	12	,	,	PUNCT
ap-1791	87	13	the	the	DET
ap-1791	87	14	second	second	ADJ
ap-1791	87	15	,	,	PUNCT
ap-1791	87	16	and	and	CCONJ
ap-1791	87	17	the	the	DET
ap-1791	87	18	third	third	ADJ
ap-1791	87	19	quartile	quartile	NOUN
ap-1791	87	20	and	and	CCONJ
ap-1791	87	21	mean	mean	ADJ
ap-1791	87	22	value	value	NOUN
ap-1791	87	23	functions	function	NOUN
ap-1791	87	24	.	.	PUNCT
ap-1791	88	1	the	the	DET
ap-1791	88	2	fluctuation	fluctuation	NOUN
ap-1791	88	3	criteria	criterion	NOUN
ap-1791	88	4	are	be	AUX
ap-1791	88	5	defined	define	VERB
ap-1791	88	6	as	as	ADP
ap-1791	88	7	std	std	NOUN
ap-1791	88	8	=	=	SYM
ap-1791	88	9	(	(	PUNCT
ap-1791	88	10	e(s−	e(s−	PROPN
ap-1791	88	11	e(s))2)1/2	e(s))2)1/2	PROPN
ap-1791	88	12	,	,	PUNCT
ap-1791	88	13	(	(	PUNCT
ap-1791	88	14	5	5	X
ap-1791	88	15	)	)	PUNCT
ap-1791	88	16	mad1	mad1	NOUN
ap-1791	88	17	=	=	PUNCT
ap-1791	88	18	e(|s−	e(|s−	PROPN
ap-1791	88	19	e(s)|	e(s)|	NOUN
ap-1791	88	20	)	)	PUNCT
ap-1791	88	21	,	,	PUNCT
ap-1791	88	22	(	(	PUNCT
ap-1791	88	23	6	6	X
ap-1791	88	24	)	)	PUNCT
ap-1791	88	25	mad2	mad2	NOUN
ap-1791	88	26	=	=	SYM
ap-1791	88	27	e(|s−q2(s)|	e(|s−q2(s)|	NOUN
ap-1791	88	28	)	)	PUNCT
ap-1791	88	29	,	,	PUNCT
ap-1791	88	30	(	(	PUNCT
ap-1791	88	31	7	7	X
ap-1791	88	32	)	)	PUNCT
ap-1791	88	33	mad3	mad3	NOUN
ap-1791	88	34	=	=	PUNCT
ap-1791	88	35	q2(|s−q2(s)|	q2(|s−q2(s)|	NOUN
ap-1791	88	36	)	)	PUNCT
ap-1791	88	37	,	,	PUNCT
ap-1791	88	38	(	(	PUNCT
ap-1791	88	39	8)	8)	NUM
ap-1791	88	40	iqr	iqr	X
ap-1791	88	41	=	=	SYM
ap-1791	88	42	q3(s)−q1(s	q3(s)−q1(s	PROPN
ap-1791	88	43	)	)	PUNCT
ap-1791	88	44	,	,	PUNCT
ap-1791	88	45	(	(	PUNCT
ap-1791	88	46	9	9	X
ap-1791	88	47	)	)	PUNCT
ap-1791	88	48	med	med	NOUN
ap-1791	88	49	=	=	SYM
ap-1791	88	50	q1(|si	q1(|si	PROPN
ap-1791	88	51	−	−	NOUN
ap-1791	88	52	sj	sj	INTJ
ap-1791	88	53	|	|	NOUN
ap-1791	88	54	)	)	PUNCT
ap-1791	88	55	.	.	PUNCT
ap-1791	89	1	(	(	PUNCT
ap-1791	89	2	10	10	NUM
ap-1791	89	3	)	)	PUNCT
ap-1791	89	4	we	we	PRON
ap-1791	89	5	obtained	obtain	VERB
ap-1791	89	6	the	the	DET
ap-1791	89	7	std	std	NOUN
ap-1791	89	8	,	,	PUNCT
ap-1791	89	9	mad1	mad1	NOUN
ap-1791	89	10	,	,	PUNCT
ap-1791	89	11	mad2	mad2	PROPN
ap-1791	89	12	,	,	PUNCT
ap-1791	89	13	mad3	mad3	NOUN
ap-1791	89	14	,	,	PUNCT
ap-1791	89	15	iqr	iqr	PROPN
ap-1791	89	16	,	,	PUNCT
ap-1791	89	17	and	and	CCONJ
ap-1791	89	18	med	med	ADJ
ap-1791	89	19	values	value	NOUN
ap-1791	89	20	of	of	ADP
ap-1791	89	21	the	the	DET
ap-1791	89	22	model	model	NOUN
ap-1791	89	23	fluctuations	fluctuation	NOUN
ap-1791	89	24	of	of	ADP
ap-1791	89	25	each	each	DET
ap-1791	89	26	channel	channel	NOUN
ap-1791	89	27	for	for	ADP
ap-1791	89	28	all	all	DET
ap-1791	89	29	ad	ad	NOUN
ap-1791	89	30	and	and	CCONJ
ap-1791	89	31	cn	cn	PROPN
ap-1791	89	32	patients	patient	NOUN
ap-1791	89	33	.	.	PUNCT
ap-1791	90	1	the	the	DET
ap-1791	90	2	null	null	ADJ
ap-1791	90	3	hypothesis	hypothesis	NOUN
ap-1791	90	4	h0	h0	NOUN
ap-1791	90	5	:	:	PUNCT
ap-1791	90	6	µad	µad	PROPN
ap-1791	90	7	=	=	X
ap-1791	90	8	µcn	µcn	PROPN
ap-1791	90	9	was	be	AUX
ap-1791	90	10	tested	test	VERB
ap-1791	90	11	via	via	ADP
ap-1791	90	12	a	a	DET
ap-1791	90	13	two	two	NUM
ap-1791	90	14	-	-	PUNCT
ap-1791	90	15	sample	sample	NOUN
ap-1791	90	16	t	t	NOUN
ap-1791	90	17	-	-	PUNCT
ap-1791	90	18	test	test	NOUN
ap-1791	90	19	[	[	X
ap-1791	90	20	7	7	X
ap-1791	90	21	]	]	PUNCT
ap-1791	90	22	against	against	ADP
ap-1791	90	23	the	the	DET
ap-1791	90	24	alternative	alternative	NOUN
ap-1791	90	25	ha	ha	INTJ
ap-1791	90	26	:	:	PUNCT
ap-1791	90	27	µad	µad	PROPN
ap-1791	90	28	6=	6=	NUM
ap-1791	90	29	µcn	µcn	PROPN
ap-1791	90	30	.	.	PUNCT
ap-1791	91	1	here	here	ADV
ap-1791	91	2	,	,	PUNCT
ap-1791	91	3	µad	µad	ADV
ap-1791	91	4	=	=	SYM
ap-1791	91	5	e	e	PROPN
ap-1791	91	6	ln	ln	NOUN
ap-1791	91	7	fluctuation	fluctuation	NOUN
ap-1791	91	8	(	(	PUNCT
ap-1791	91	9	5–10	5–10	ADJ
ap-1791	91	10	)	)	PUNCT
ap-1791	91	11	for	for	ADP
ap-1791	91	12	ad	ad	NOUN
ap-1791	91	13	group	group	NOUN
ap-1791	91	14	and	and	CCONJ
ap-1791	91	15	µcn	µcn	NOUN
ap-1791	91	16	=	=	SYM
ap-1791	91	17	e	e	PROPN
ap-1791	91	18	ln	ln	NOUN
ap-1791	91	19	fluctuation	fluctuation	NOUN
ap-1791	91	20	(	(	PUNCT
ap-1791	91	21	5–10	5–10	ADJ
ap-1791	91	22	)	)	PUNCT
ap-1791	91	23	for	for	ADP
ap-1791	91	24	cn	cn	PROPN
ap-1791	91	25	group	group	PROPN
ap-1791	91	26	.	.	PUNCT
ap-1791	92	1	4	4	X
ap-1791	92	2	.	.	X
ap-1791	92	3	experimental	experimental	ADJ
ap-1791	92	4	part	part	NOUN
ap-1791	92	5	groups	group	NOUN
ap-1791	92	6	of	of	ADP
ap-1791	92	7	26	26	NUM
ap-1791	92	8	ad	ad	NOUN
ap-1791	92	9	and	and	CCONJ
ap-1791	92	10	139	139	NUM
ap-1791	92	11	cn	cn	PROPN
ap-1791	92	12	patients	patient	NOUN
ap-1791	92	13	were	be	AUX
ap-1791	92	14	used	use	VERB
ap-1791	92	15	for	for	ADP
ap-1791	92	16	testing	testing	NOUN
ap-1791	92	17	.	.	PUNCT
ap-1791	93	1	we	we	PRON
ap-1791	93	2	used	use	VERB
ap-1791	93	3	the	the	DET
ap-1791	93	4	international	international	ADJ
ap-1791	93	5	10–20	10–20	NUM
ap-1791	93	6	electrode	electrode	NOUN
ap-1791	93	7	system	system	NOUN
ap-1791	93	8	with	with	ADP
ap-1791	93	9	constant	constant	ADJ
ap-1791	93	10	sampling	sampling	NOUN
ap-1791	93	11	frequency	frequency	NOUN
ap-1791	93	12	200hz	200hz	NOUN
ap-1791	93	13	.	.	PUNCT
ap-1791	94	1	a	a	DET
ap-1791	94	2	predictive	predictive	ADJ
ap-1791	94	3	model	model	NOUN
ap-1791	94	4	(	(	PUNCT
ap-1791	94	5	1	1	NUM
ap-1791	94	6	)	)	PUNCT
ap-1791	94	7	,	,	PUNCT
ap-1791	94	8	a	a	DET
ap-1791	94	9	back	back	ADJ
ap-1791	94	10	-	-	PUNCT
ap-1791	94	11	predictive	predictive	ADJ
ap-1791	94	12	model	model	NOUN
ap-1791	94	13	(	(	PUNCT
ap-1791	94	14	2	2	NUM
ap-1791	94	15	)	)	PUNCT
ap-1791	94	16	,	,	PUNCT
ap-1791	94	17	and	and	CCONJ
ap-1791	94	18	a	a	DET
ap-1791	94	19	95	95	NUM
ap-1791	94	20	l.	l.	PROPN
ap-1791	94	21	tylova	tylova	PROPN
ap-1791	94	22	,	,	PUNCT
ap-1791	94	23	j.	j.	PROPN
ap-1791	94	24	kukal	kukal	PROPN
ap-1791	94	25	,	,	PUNCT
ap-1791	94	26	o.	o.	PROPN
ap-1791	94	27	vysata	vysata	PROPN
ap-1791	94	28	acta	acta	PROPN
ap-1791	94	29	polytechnica	polytechnica	PROPN
ap-1791	94	30	ch	ch	PROPN
ap-1791	94	31	predictive	predictive	ADJ
ap-1791	94	32	back	back	ADJ
ap-1791	94	33	-	-	PUNCT
ap-1791	94	34	predictive	predictive	NOUN
ap-1791	94	35	symmetric	symmetric	ADJ
ap-1791	94	36	std	std	NOUN
ap-1791	94	37	mad1	mad1	PROPN
ap-1791	94	38	mad2	mad2	PROPN
ap-1791	94	39	std	std	NOUN
ap-1791	94	40	mad1	mad1	PROPN
ap-1791	94	41	mad2	mad2	PROPN
ap-1791	94	42	std	std	NOUN
ap-1791	94	43	mad1	mad1	PROPN
ap-1791	94	44	mad2	mad2	PROPN
ap-1791	94	45	1	1	NUM
ap-1791	94	46	0.0029	0.0029	NUM
ap-1791	94	47	0.0265	0.0265	NUM
ap-1791	94	48	0.0018	0.0018	NUM
ap-1791	94	49	0.0035	0.0035	NUM
ap-1791	94	50	0.0236	0.0236	NUM
ap-1791	94	51	0.0021	0.0021	NUM
ap-1791	94	52	2.6·10−4	2.6·10−4	NUM
ap-1791	94	53	0.0025	0.0025	NUM
ap-1791	94	54	2.3·10−4	2.3·10−4	NUM
ap-1791	94	55	2	2	NUM
ap-1791	94	56	6.9·10−6	6.9·10−6	NUM
ap-1791	94	57	6.2·10−5	6.2·10−5	NUM
ap-1791	94	58	4.8·10−6	4.8·10−6	NUM
ap-1791	94	59	1.0·10−5	1.0·10−5	NUM
ap-1791	95	1	5.1·10−5	5.1·10−5	NUM
ap-1791	95	2	4.8·10−6	4.8·10−6	NUM
ap-1791	95	3	3.9·10−7	3.9·10−7	NUM
ap-1791	95	4	3.0·10−6	3.0·10−6	NUM
ap-1791	95	5	5.1·10−7	5.1·10−7	NUM
ap-1791	95	6	3	3	NUM
ap-1791	95	7	3.5·10−6	3.5·10−6	NUM
ap-1791	95	8	6.5·10−5	6.5·10−5	NUM
ap-1791	95	9	3.5·10−6	3.5·10−6	NUM
ap-1791	95	10	1.7·10−6	1.7·10−6	NUM
ap-1791	95	11	4.2·10−5	4.2·10−5	NUM
ap-1791	95	12	3.7·10−6	3.7·10−6	NUM
ap-1791	95	13	1.8·10−7	1.8·10−7	NUM
ap-1791	95	14	1.6·10−6	1.6·10−6	NUM
ap-1791	95	15	3.0·10−7	3.0·10−7	NUM
ap-1791	95	16	4	4	NUM
ap-1791	95	17	2.4·10−4	2.4·10−4	NUM
ap-1791	95	18	0.0019	0.0019	NUM
ap-1791	95	19	2.2·10−4	2.2·10−4	NUM
ap-1791	95	20	6.6·10−4	6.6·10−4	NUM
ap-1791	95	21	0.0026	0.0026	NUM
ap-1791	95	22	3.4·10−4	3.4·10−4	NUM
ap-1791	95	23	4.8·10−6	4.8·10−6	NUM
ap-1791	95	24	4.6·10−5	4.6·10−5	NUM
ap-1791	95	25	9.1·10−6	9.1·10−6	NUM
ap-1791	95	26	5	5	NUM
ap-1791	95	27	0.0017	0.0017	NUM
ap-1791	95	28	0.0124	0.0124	NUM
ap-1791	95	29	0.0022	0.0022	NUM
ap-1791	95	30	0.0038	0.0038	NUM
ap-1791	95	31	0.0170	0.0170	NUM
ap-1791	95	32	0.0025	0.0025	NUM
ap-1791	95	33	1.4·10−4	1.4·10−4	NUM
ap-1791	95	34	0.0015	0.0015	NUM
ap-1791	95	35	2.1·10−4	2.1·10−4	NUM
ap-1791	95	36	6	6	NUM
ap-1791	95	37	2.9·10−4	2.9·10−4	NUM
ap-1791	95	38	0.0047	0.0047	NUM
ap-1791	95	39	4.1·10−4	4.1·10−4	NUM
ap-1791	95	40	2.9·10−4	2.9·10−4	NUM
ap-1791	95	41	0.0039	0.0039	NUM
ap-1791	95	42	3.2·10−4	3.2·10−4	NUM
ap-1791	95	43	2.4·10−5	2.4·10−5	NUM
ap-1791	95	44	2.4·10−4	2.4·10−4	NUM
ap-1791	95	45	3.2·10−5	3.2·10−5	NUM
ap-1791	95	46	7	7	NUM
ap-1791	95	47	2.4·10−4	2.4·10−4	NUM
ap-1791	95	48	0.0025	0.0025	NUM
ap-1791	95	49	1.9·10−4	1.9·10−4	NUM
ap-1791	95	50	1.7·10−4	1.7·10−4	NUM
ap-1791	95	51	0.0019	0.0019	NUM
ap-1791	95	52	1.7·10−4	1.7·10−4	NUM
ap-1791	95	53	2.9·10−4	2.9·10−4	NUM
ap-1791	95	54	0.0014	0.0014	NUM
ap-1791	95	55	2.6·10−4	2.6·10−4	NUM
ap-1791	95	56	8	8	NUM
ap-1791	95	57	0.0478	0.0478	NUM
ap-1791	95	58	0.0787	0.0787	NUM
ap-1791	95	59	0.0390	0.0390	NUM
ap-1791	95	60	0.0495	0.0495	NUM
ap-1791	95	61	0.0679	0.0679	NUM
ap-1791	95	62	0.0406	0.0406	NUM
ap-1791	95	63	0.0174	0.0174	NUM
ap-1791	95	64	0.0384	0.0384	NUM
ap-1791	95	65	0.0204	0.0204	NUM
ap-1791	95	66	9	9	NUM
ap-1791	95	67	0.0159	0.0159	NUM
ap-1791	95	68	0.0490	0.0490	NUM
ap-1791	95	69	0.0127	0.0127	NUM
ap-1791	95	70	0.0130	0.0130	NUM
ap-1791	95	71	0.0387	0.0387	NUM
ap-1791	95	72	0.0123	0.0123	NUM
ap-1791	95	73	0.0013	0.0013	NUM
ap-1791	95	74	0.0066	0.0066	NUM
ap-1791	95	75	0.0023	0.0023	NUM
ap-1791	95	76	10	10	NUM
ap-1791	95	77	0.8614	0.8614	NUM
ap-1791	95	78	0.6785	0.6785	NUM
ap-1791	95	79	0.7914	0.7914	NUM
ap-1791	95	80	0.8522	0.8522	NUM
ap-1791	95	81	0.6462	0.6462	NUM
ap-1791	95	82	0.7958	0.7958	NUM
ap-1791	95	83	0.3281	0.3281	NUM
ap-1791	95	84	0.2948	0.2948	NUM
ap-1791	95	85	0.3613	0.3613	NUM
ap-1791	95	86	11	11	NUM
ap-1791	95	87	0.0038	0.0038	NUM
ap-1791	95	88	0.0227	0.0227	NUM
ap-1791	95	89	0.0034	0.0034	NUM
ap-1791	95	90	0.0021	0.0021	NUM
ap-1791	95	91	0.0151	0.0151	NUM
ap-1791	95	92	0.0031	0.0031	NUM
ap-1791	95	93	1.8·10−4	1.8·10−4	NUM
ap-1791	95	94	0.0015	0.0015	NUM
ap-1791	95	95	2.4·10−4	2.4·10−4	NUM
ap-1791	95	96	12	12	NUM
ap-1791	95	97	0.0054	0.0054	NUM
ap-1791	95	98	0.0182	0.0182	NUM
ap-1791	95	99	0.0082	0.0082	NUM
ap-1791	95	100	0.0066	0.0066	NUM
ap-1791	95	101	0.0201	0.0201	NUM
ap-1791	95	102	0.0121	0.0121	NUM
ap-1791	95	103	0.0051	0.0051	NUM
ap-1791	95	104	0.0100	0.0100	NUM
ap-1791	95	105	0.0083	0.0083	NUM
ap-1791	95	106	13	13	NUM
ap-1791	95	107	0.0177	0.0177	NUM
ap-1791	95	108	0.0722	0.0722	NUM
ap-1791	95	109	0.0212	0.0212	NUM
ap-1791	95	110	0.0201	0.0201	NUM
ap-1791	95	111	0.0730	0.0730	NUM
ap-1791	95	112	0.0219	0.0219	NUM
ap-1791	95	113	7.0·10−4	7.0·10−4	NUM
ap-1791	95	114	0.0085	0.0085	NUM
ap-1791	95	115	6.9·10−4	6.9·10−4	NUM
ap-1791	95	116	14	14	NUM
ap-1791	95	117	0.0713	0.0713	NUM
ap-1791	95	118	0.1341	0.1341	NUM
ap-1791	95	119	0.0873	0.0873	NUM
ap-1791	95	120	0.0676	0.0676	NUM
ap-1791	95	121	0.1056	0.1056	NUM
ap-1791	95	122	0.0885	0.0885	NUM
ap-1791	95	123	0.0040	0.0040	NUM
ap-1791	95	124	0.0180	0.0180	NUM
ap-1791	95	125	0.0053	0.0053	NUM
ap-1791	95	126	15	15	NUM
ap-1791	95	127	0.0877	0.0877	NUM
ap-1791	95	128	0.1351	0.1351	NUM
ap-1791	95	129	0.0791	0.0791	NUM
ap-1791	95	130	0.0581	0.0581	NUM
ap-1791	95	131	0.0994	0.0994	NUM
ap-1791	95	132	0.0631	0.0631	NUM
ap-1791	95	133	0.0028	0.0028	NUM
ap-1791	95	134	0.0139	0.0139	NUM
ap-1791	95	135	0.0050	0.0050	NUM
ap-1791	95	136	16	16	NUM
ap-1791	95	137	0.2547	0.2547	NUM
ap-1791	95	138	0.2882	0.2882	NUM
ap-1791	96	1	0.2583	0.2583	NUM
ap-1791	96	2	0.2338	0.2338	NUM
ap-1791	96	3	0.2464	0.2464	NUM
ap-1791	96	4	0.2512	0.2512	NUM
ap-1791	96	5	0.0131	0.0131	NUM
ap-1791	96	6	0.0368	0.0368	NUM
ap-1791	96	7	0.0195	0.0195	NUM
ap-1791	96	8	17	17	NUM
ap-1791	96	9	0.0307	0.0307	NUM
ap-1791	96	10	0.0740	0.0740	NUM
ap-1791	96	11	0.0359	0.0359	NUM
ap-1791	96	12	0.0277	0.0277	NUM
ap-1791	96	13	0.0676	0.0676	NUM
ap-1791	96	14	0.0338	0.0338	NUM
ap-1791	96	15	4.3·10−4	4.3·10−4	NUM
ap-1791	96	16	0.0038	0.0038	NUM
ap-1791	96	17	4.7·10−4	4.7·10−4	NUM
ap-1791	96	18	18	18	NUM
ap-1791	96	19	0.0511	0.0511	NUM
ap-1791	96	20	0.1400	0.1400	NUM
ap-1791	96	21	0.0317	0.0317	NUM
ap-1791	96	22	0.0451	0.0451	NUM
ap-1791	96	23	0.1313	0.1313	NUM
ap-1791	96	24	0.0375	0.0375	NUM
ap-1791	96	25	0.0032	0.0032	NUM
ap-1791	96	26	0.0257	0.0257	NUM
ap-1791	96	27	0.0033	0.0033	NUM
ap-1791	96	28	19	19	NUM
ap-1791	96	29	0.0491	0.0491	NUM
ap-1791	96	30	0.1666	0.1666	NUM
ap-1791	96	31	0.0492	0.0492	NUM
ap-1791	96	32	0.0448	0.0448	NUM
ap-1791	96	33	0.1625	0.1625	NUM
ap-1791	96	34	0.0439	0.0439	NUM
ap-1791	96	35	0.0017	0.0017	NUM
ap-1791	96	36	0.0253	0.0253	NUM
ap-1791	96	37	0.0021	0.0021	NUM
ap-1791	96	38	table	table	NOUN
ap-1791	96	39	2	2	NUM
ap-1791	96	40	.	.	PUNCT
ap-1791	96	41	robust	robust	ADJ
ap-1791	96	42	fluctuation	fluctuation	NOUN
ap-1791	96	43	measures	measure	NOUN
ap-1791	96	44	.	.	PUNCT
ap-1791	97	1	predictive	predictive	ADJ
ap-1791	97	2	back	back	ADJ
ap-1791	97	3	-	-	PUNCT
ap-1791	97	4	predictive	predictive	NOUN
ap-1791	97	5	symmetric	symmetric	ADJ
ap-1791	97	6	mad3	mad3	NOUN
ap-1791	97	7	3	3	NUM
ap-1791	97	8	3	3	NUM
ap-1791	97	9	2	2	NUM
ap-1791	97	10	,	,	PUNCT
ap-1791	97	11	3	3	NUM
ap-1791	97	12	,	,	PUNCT
ap-1791	97	13	4	4	NUM
ap-1791	97	14	iqr	iqr	NOUN
ap-1791	97	15	2	2	NUM
ap-1791	97	16	,	,	PUNCT
ap-1791	97	17	3	3	NUM
ap-1791	97	18	med	med	ADJ
ap-1791	97	19	2	2	NUM
ap-1791	97	20	,	,	PUNCT
ap-1791	97	21	3	3	NUM
ap-1791	97	22	2	2	NUM
ap-1791	97	23	,	,	PUNCT
ap-1791	97	24	3	3	NUM
ap-1791	97	25	2	2	NUM
ap-1791	97	26	,	,	PUNCT
ap-1791	97	27	3	3	NUM
ap-1791	97	28	table	table	NOUN
ap-1791	97	29	3	3	NUM
ap-1791	97	30	.	.	PUNCT
ap-1791	97	31	significant	significant	ADJ
ap-1791	97	32	channels	channel	NOUN
ap-1791	97	33	.	.	PUNCT
ap-1791	98	1	symmetric	symmetric	ADJ
ap-1791	98	2	model	model	NOUN
ap-1791	98	3	(	(	PUNCT
ap-1791	98	4	3	3	X
ap-1791	98	5	)	)	PUNCT
ap-1791	98	6	were	be	AUX
ap-1791	98	7	identified	identify	VERB
ap-1791	98	8	,	,	PUNCT
ap-1791	98	9	and	and	CCONJ
ap-1791	98	10	the	the	DET
ap-1791	98	11	model	model	NOUN
ap-1791	98	12	errors	error	NOUN
ap-1791	98	13	(	(	PUNCT
ap-1791	98	14	4	4	NUM
ap-1791	98	15	)	)	PUNCT
ap-1791	98	16	and	and	CCONJ
ap-1791	98	17	their	their	PRON
ap-1791	98	18	fluctuations	fluctuation	NOUN
ap-1791	98	19	were	be	AUX
ap-1791	98	20	studied	study	VERB
ap-1791	98	21	for	for	ADP
ap-1791	98	22	segment	segment	NOUN
ap-1791	98	23	length	length	NOUN
ap-1791	98	24	m	m	NOUN
ap-1791	98	25	=	=	SYM
ap-1791	98	26	150	150	NUM
ap-1791	98	27	and	and	CCONJ
ap-1791	98	28	model	model	NOUN
ap-1791	98	29	size	size	NOUN
ap-1791	98	30	n	n	NOUN
ap-1791	98	31	=	=	SYM
ap-1791	98	32	50	50	NUM
ap-1791	98	33	.	.	PUNCT
ap-1791	99	1	the	the	DET
ap-1791	99	2	number	number	NOUN
ap-1791	99	3	of	of	ADP
ap-1791	99	4	eeg	eeg	NOUN
ap-1791	99	5	segments	segment	NOUN
ap-1791	99	6	varied	vary	VERB
ap-1791	99	7	patient	patient	NOUN
ap-1791	99	8	-	-	PUNCT
ap-1791	99	9	by	by	ADP
ap-1791	99	10	-	-	PUNCT
ap-1791	99	11	patient	patient	NOUN
ap-1791	99	12	and	and	CCONJ
ap-1791	99	13	satistisfied	satistisfie	VERB
ap-1791	99	14	the	the	DET
ap-1791	99	15	inequality	inequality	NOUN
ap-1791	99	16	352	352	NUM
ap-1791	99	17	≤	≤	NUM
ap-1791	99	18	n	n	CCONJ
ap-1791	99	19	≤	≤	NOUN
ap-1791	99	20	762	762	NUM
ap-1791	99	21	.	.	PUNCT
ap-1791	100	1	the	the	DET
ap-1791	100	2	significance	significance	NOUN
ap-1791	100	3	level	level	NOUN
ap-1791	100	4	for	for	ADP
ap-1791	100	5	the	the	DET
ap-1791	100	6	testing	testing	NOUN
ap-1791	100	7	was	be	AUX
ap-1791	100	8	α	α	NOUN
ap-1791	100	9	=	=	NOUN
ap-1791	100	10	0.001	0.001	NUM
ap-1791	100	11	.	.	PUNCT
ap-1791	101	1	the	the	DET
ap-1791	101	2	hypotheses	hypothesis	NOUN
ap-1791	101	3	of	of	ADP
ap-1791	101	4	mean	mean	ADJ
ap-1791	101	5	equity	equity	NOUN
ap-1791	101	6	were	be	AUX
ap-1791	101	7	tested	test	VERB
ap-1791	101	8	on	on	ADP
ap-1791	101	9	19	19	NUM
ap-1791	101	10	eeg	eeg	NOUN
ap-1791	101	11	channels	channel	NOUN
ap-1791	101	12	,	,	PUNCT
ap-1791	101	13	three	three	NUM
ap-1791	101	14	predictive	predictive	ADJ
ap-1791	101	15	models	model	NOUN
ap-1791	101	16	,	,	PUNCT
ap-1791	101	17	and	and	CCONJ
ap-1791	101	18	six	six	NUM
ap-1791	101	19	fluctuation	fluctuation	NOUN
ap-1791	101	20	characteristics	characteristic	NOUN
ap-1791	101	21	.	.	PUNCT
ap-1791	102	1	this	this	PRON
ap-1791	102	2	is	be	AUX
ap-1791	102	3	a	a	DET
ap-1791	102	4	kind	kind	NOUN
ap-1791	102	5	of	of	ADP
ap-1791	102	6	multiple	multiple	ADJ
ap-1791	102	7	testing	testing	NOUN
ap-1791	102	8	,	,	PUNCT
ap-1791	102	9	with	with	ADP
ap-1791	102	10	342	342	NUM
ap-1791	102	11	potentially	potentially	ADV
ap-1791	102	12	dependent	dependent	ADJ
ap-1791	102	13	tests	test	NOUN
ap-1791	102	14	.	.	PUNCT
ap-1791	103	1	the	the	DET
ap-1791	103	2	standard	standard	ADJ
ap-1791	103	3	false	false	ADJ
ap-1791	103	4	discovery	discovery	NOUN
ap-1791	103	5	rate	rate	NOUN
ap-1791	103	6	(	(	PUNCT
ap-1791	103	7	fdr	fdr	PROPN
ap-1791	103	8	)	)	PUNCT
ap-1791	103	9	methodology	methodology	NOUN
ap-1791	103	10	[	[	X
ap-1791	103	11	8	8	NUM
ap-1791	103	12	]	]	PUNCT
ap-1791	103	13	was	be	AUX
ap-1791	103	14	used	use	VERB
ap-1791	103	15	to	to	PART
ap-1791	103	16	eliminate	eliminate	VERB
ap-1791	103	17	the	the	DET
ap-1791	103	18	acceptance	acceptance	NOUN
ap-1791	103	19	of	of	ADP
ap-1791	103	20	a	a	DET
ap-1791	103	21	false	false	ADJ
ap-1791	103	22	hypothesis	hypothesis	NOUN
ap-1791	103	23	.	.	PUNCT
ap-1791	104	1	the	the	DET
ap-1791	104	2	corrected	correct	VERB
ap-1791	104	3	critical	critical	ADJ
ap-1791	104	4	value	value	NOUN
ap-1791	104	5	was	be	AUX
ap-1791	104	6	determined	determine	VERB
ap-1791	104	7	as	as	ADP
ap-1791	104	8	αfdr	αfdr	ADJ
ap-1791	104	9	=	=	SYM
ap-1791	105	1	4.8347	4.8347	NUM
ap-1791	105	2	·	·	PUNCT
ap-1791	105	3	10−6	10−6	NUM
ap-1791	105	4	.	.	PUNCT
ap-1791	106	1	the	the	DET
ap-1791	106	2	t	t	PROPN
ap-1791	106	3	-	-	PUNCT
ap-1791	106	4	test	test	NOUN
ap-1791	106	5	results	result	NOUN
ap-1791	106	6	(	(	PUNCT
ap-1791	106	7	pvalue	pvalue	NOUN
ap-1791	106	8	)	)	PUNCT
ap-1791	106	9	for	for	ADP
ap-1791	106	10	traditional	traditional	ADJ
ap-1791	106	11	measures	measure	NOUN
ap-1791	106	12	are	be	AUX
ap-1791	106	13	included	include	VERB
ap-1791	106	14	in	in	ADP
ap-1791	106	15	tab	tab	NOUN
ap-1791	106	16	.	.	PUNCT
ap-1791	107	1	1	1	X
ap-1791	107	2	.	.	X
ap-1791	107	3	results	result	NOUN
ap-1791	107	4	for	for	ADP
ap-1791	107	5	robust	robust	ADJ
ap-1791	107	6	measures	measure	NOUN
ap-1791	107	7	are	be	AUX
ap-1791	107	8	collected	collect	VERB
ap-1791	107	9	in	in	ADP
ap-1791	107	10	tab	tab	NOUN
ap-1791	107	11	.	.	PUNCT
ap-1791	108	1	2	2	X
ap-1791	108	2	.	.	X
ap-1791	108	3	bold	bold	ADJ
ap-1791	108	4	font	font	NOUN
ap-1791	108	5	was	be	AUX
ap-1791	108	6	used	use	VERB
ap-1791	108	7	for	for	ADP
ap-1791	108	8	a	a	DET
ap-1791	108	9	pvalue	pvalue	NOUN
ap-1791	108	10	below	below	ADP
ap-1791	108	11	the	the	DET
ap-1791	108	12	critical	critical	ADJ
ap-1791	108	13	probability	probability	NOUN
ap-1791	108	14	αfdr	αfdr	ADJ
ap-1791	108	15	.	.	PUNCT
ap-1791	109	1	the	the	DET
ap-1791	109	2	null	null	ADJ
ap-1791	109	3	hypothesis	hypothesis	NOUN
ap-1791	109	4	was	be	AUX
ap-1791	109	5	rejected	reject	VERB
ap-1791	109	6	only	only	ADV
ap-1791	109	7	in	in	ADP
ap-1791	109	8	channels	channel	NOUN
ap-1791	109	9	2	2	NUM
ap-1791	109	10	,	,	PUNCT
ap-1791	109	11	3	3	NUM
ap-1791	109	12	,	,	PUNCT
ap-1791	109	13	4	4	NUM
ap-1791	109	14	,	,	PUNCT
ap-1791	109	15	which	which	PRON
ap-1791	109	16	correspond	correspond	VERB
ap-1791	109	17	to	to	ADP
ap-1791	109	18	the	the	DET
ap-1791	109	19	frontal	frontal	ADJ
ap-1791	109	20	domain	domain	NOUN
ap-1791	109	21	of	of	ADP
ap-1791	109	22	the	the	DET
ap-1791	109	23	human	human	ADJ
ap-1791	109	24	brain	brain	NOUN
ap-1791	109	25	.	.	PUNCT
ap-1791	110	1	only	only	ADV
ap-1791	110	2	three	three	NUM
ap-1791	110	3	robust	robust	ADJ
ap-1791	110	4	fluctuation	fluctuation	NOUN
ap-1791	110	5	characteristics	characteristic	NOUN
ap-1791	110	6	are	be	AUX
ap-1791	110	7	significant	significant	ADJ
ap-1791	110	8	:	:	PUNCT
ap-1791	110	9	ln	ln	ADJ
ap-1791	110	10	mad3	mad3	NOUN
ap-1791	110	11	,	,	PUNCT
ap-1791	110	12	ln	ln	PROPN
ap-1791	110	13	iqr	iqr	PROPN
ap-1791	110	14	,	,	PUNCT
ap-1791	110	15	and	and	CCONJ
ap-1791	110	16	ln	ln	ADJ
ap-1791	110	17	med	med	ADJ
ap-1791	110	18	.	.	PUNCT
ap-1791	111	1	the	the	DET
ap-1791	111	2	second	second	ADJ
ap-1791	111	3	channel	channel	NOUN
ap-1791	111	4	is	be	AUX
ap-1791	111	5	significant	significant	ADJ
ap-1791	111	6	only	only	ADV
ap-1791	111	7	for	for	ADP
ap-1791	111	8	ln	ln	ADJ
ap-1791	111	9	med	med	ADJ
ap-1791	111	10	or	or	CCONJ
ap-1791	111	11	symmetrical	symmetrical	ADJ
ap-1791	111	12	prediction	prediction	NOUN
ap-1791	111	13	.	.	PUNCT
ap-1791	112	1	the	the	DET
ap-1791	112	2	third	third	ADJ
ap-1791	112	3	channel	channel	NOUN
ap-1791	112	4	is	be	AUX
ap-1791	112	5	significant	significant	ADJ
ap-1791	112	6	only	only	ADV
ap-1791	112	7	for	for	ADP
ap-1791	112	8	ln	ln	ADJ
ap-1791	112	9	med	med	ADJ
ap-1791	112	10	,	,	PUNCT
ap-1791	112	11	ln	ln	ADJ
ap-1791	112	12	mad3	mad3	NOUN
ap-1791	112	13	or	or	CCONJ
ap-1791	112	14	symmetric	symmetric	ADJ
ap-1791	112	15	prediction	prediction	NOUN
ap-1791	112	16	.	.	PUNCT
ap-1791	113	1	the	the	DET
ap-1791	113	2	fourth	fourth	ADJ
ap-1791	113	3	channel	channel	NOUN
ap-1791	113	4	is	be	AUX
ap-1791	113	5	significant	significant	ADJ
ap-1791	113	6	only	only	ADV
ap-1791	113	7	for	for	ADP
ap-1791	113	8	ln	ln	ADJ
ap-1791	113	9	mad3	mad3	NOUN
ap-1791	113	10	together	together	ADV
ap-1791	113	11	with	with	ADP
ap-1791	113	12	symmetrical	symmetrical	ADJ
ap-1791	113	13	prediction	prediction	NOUN
ap-1791	113	14	.	.	PUNCT
ap-1791	114	1	tab	tab	NOUN
ap-1791	114	2	.	.	PUNCT
ap-1791	115	1	4	4	NUM
ap-1791	115	2	summarizes	summarize	VERB
ap-1791	115	3	the	the	DET
ap-1791	115	4	results	result	NOUN
ap-1791	115	5	.	.	PUNCT
ap-1791	116	1	the	the	DET
ap-1791	116	2	best	good	ADJ
ap-1791	116	3	pvalue	pvalue	NOUN
ap-1791	116	4	=	=	SYM
ap-1791	116	5	1.8885	1.8885	NUM
ap-1791	116	6	·	·	SYM
ap-1791	116	7	10−7	10−7	NUM
ap-1791	116	8	was	be	AUX
ap-1791	116	9	obtained	obtain	VERB
ap-1791	116	10	on	on	ADP
ap-1791	116	11	the	the	DET
ap-1791	116	12	third	third	ADJ
ap-1791	116	13	channel	channel	NOUN
ap-1791	116	14	for	for	ADP
ap-1791	116	15	the	the	DET
ap-1791	116	16	symmetric	symmetric	ADJ
ap-1791	116	17	model	model	NOUN
ap-1791	116	18	and	and	CCONJ
ap-1791	116	19	the	the	DET
ap-1791	116	20	ln	ln	ADJ
ap-1791	116	21	mad3	mad3	NOUN
ap-1791	116	22	criterion	criterion	NOUN
ap-1791	116	23	.	.	PUNCT
ap-1791	117	1	figure	figure	NOUN
ap-1791	117	2	1	1	NUM
ap-1791	117	3	shows	show	VERB
ap-1791	117	4	its	its	PRON
ap-1791	117	5	receiver	receiver	NOUN
ap-1791	117	6	operating	operate	VERB
ap-1791	117	7	characteristic	characteristic	NOUN
ap-1791	117	8	(	(	PUNCT
ap-1791	117	9	roc	roc	PROPN
ap-1791	117	10	)	)	PUNCT
ap-1791	117	11	curve	curve	NOUN
ap-1791	118	1	[	[	X
ap-1791	118	2	9	9	NUM
ap-1791	118	3	]	]	PUNCT
ap-1791	118	4	.	.	PUNCT
ap-1791	119	1	the	the	DET
ap-1791	119	2	area	area	NOUN
ap-1791	119	3	under	under	ADP
ap-1791	119	4	the	the	DET
ap-1791	119	5	curve	curve	NOUN
ap-1791	119	6	(	(	PUNCT
ap-1791	119	7	auc	auc	NOUN
ap-1791	119	8	)	)	PUNCT
ap-1791	119	9	is	be	AUX
ap-1791	119	10	0.77	0.77	NUM
ap-1791	119	11	,	,	PUNCT
ap-1791	119	12	which	which	PRON
ap-1791	119	13	evaluates	evaluate	VERB
ap-1791	119	14	the	the	DET
ap-1791	119	15	model	model	NOUN
ap-1791	119	16	as	as	ADP
ap-1791	119	17	good	good	ADJ
ap-1791	119	18	.	.	PUNCT
ap-1791	120	1	the	the	DET
ap-1791	120	2	boxplot	boxplot	NOUN
ap-1791	120	3	in	in	ADP
ap-1791	120	4	fig	fig	NOUN
ap-1791	120	5	.	.	PUNCT
ap-1791	121	1	2	2	NUM
ap-1791	121	2	displays	display	VERB
ap-1791	121	3	the	the	DET
ap-1791	121	4	differences	difference	NOUN
ap-1791	121	5	between	between	ADP
ap-1791	121	6	ad	ad	NOUN
ap-1791	121	7	and	and	CCONJ
ap-1791	121	8	cn	cn	PROPN
ap-1791	121	9	patients	patient	NOUN
ap-1791	121	10	.	.	PUNCT
ap-1791	122	1	5	5	X
ap-1791	122	2	.	.	X
ap-1791	122	3	discussion	discussion	NOUN
ap-1791	122	4	while	while	SCONJ
ap-1791	122	5	the	the	DET
ap-1791	122	6	autoregressive	autoregressive	ADJ
ap-1791	122	7	model	model	NOUN
ap-1791	122	8	is	be	AUX
ap-1791	122	9	linear	linear	ADJ
ap-1791	122	10	and	and	CCONJ
ap-1791	122	11	requires	require	VERB
ap-1791	122	12	a	a	DET
ap-1791	122	13	stationary	stationary	ADJ
ap-1791	122	14	signal	signal	NOUN
ap-1791	122	15	,	,	PUNCT
ap-1791	122	16	the	the	DET
ap-1791	122	17	higher	high	ADJ
ap-1791	122	18	fluctuation	fluctuation	NOUN
ap-1791	122	19	of	of	ADP
ap-1791	122	20	the	the	DET
ap-1791	122	21	model	model	NOUN
ap-1791	122	22	error	error	NOUN
ap-1791	122	23	in	in	ADP
ap-1791	122	24	alzheimer	alzheimer	PROPN
ap-1791	122	25	’s	’s	PART
ap-1791	122	26	subjects	subject	NOUN
ap-1791	122	27	may	may	AUX
ap-1791	122	28	reflect	reflect	VERB
ap-1791	122	29	a	a	DET
ap-1791	122	30	different	different	ADJ
ap-1791	122	31	structure	structure	NOUN
ap-1791	122	32	of	of	ADP
ap-1791	122	33	brain	brain	NOUN
ap-1791	122	34	microstates	microstate	NOUN
ap-1791	122	35	than	than	ADP
ap-1791	122	36	in	in	ADP
ap-1791	122	37	healthy	healthy	ADJ
ap-1791	122	38	subjects	subject	NOUN
ap-1791	122	39	.	.	PUNCT
ap-1791	123	1	it	it	PRON
ap-1791	123	2	may	may	AUX
ap-1791	123	3	reflect	reflect	VERB
ap-1791	123	4	alterations	alteration	NOUN
ap-1791	123	5	in	in	ADP
ap-1791	123	6	the	the	DET
ap-1791	123	7	brain	brain	NOUN
ap-1791	123	8	anatomical	anatomical	ADJ
ap-1791	123	9	cortical	cortical	ADJ
ap-1791	123	10	connectivity	connectivity	NOUN
ap-1791	123	11	in	in	ADP
ap-1791	123	12	resting	rest	VERB
ap-1791	123	13	-	-	PUNCT
ap-1791	123	14	state	state	NOUN
ap-1791	123	15	networks	network	NOUN
ap-1791	123	16	.	.	PUNCT
ap-1791	124	1	in	in	ADP
ap-1791	124	2	contrast	contrast	NOUN
ap-1791	124	3	to	to	ADP
ap-1791	124	4	applying	apply	VERB
ap-1791	124	5	robust	robust	ADJ
ap-1791	124	6	methods	method	NOUN
ap-1791	124	7	and	and	CCONJ
ap-1791	124	8	filters	filter	NOUN
ap-1791	124	9	,	,	PUNCT
ap-1791	124	10	the	the	DET
ap-1791	124	11	autoregressive	autoregressive	ADJ
ap-1791	124	12	linear	linear	NOUN
ap-1791	124	13	model	model	NOUN
ap-1791	124	14	offers	offer	VERB
ap-1791	124	15	a	a	DET
ap-1791	124	16	simple	simple	ADJ
ap-1791	124	17	and	and	CCONJ
ap-1791	124	18	traditional	traditional	ADJ
ap-1791	124	19	solution	solution	NOUN
ap-1791	124	20	that	that	PRON
ap-1791	124	21	provides	provide	VERB
ap-1791	124	22	results	result	NOUN
ap-1791	124	23	with	with	ADP
ap-1791	124	24	a	a	DET
ap-1791	124	25	sufficient	sufficient	ADJ
ap-1791	124	26	level	level	NOUN
ap-1791	124	27	of	of	ADP
ap-1791	124	28	significance	significance	NOUN
ap-1791	124	29	.	.	PUNCT
ap-1791	125	1	these	these	DET
ap-1791	125	2	results	result	NOUN
ap-1791	125	3	could	could	AUX
ap-1791	125	4	also	also	ADV
ap-1791	125	5	be	be	AUX
ap-1791	125	6	influenced	influence	VERB
ap-1791	125	7	by	by	ADP
ap-1791	125	8	the	the	DET
ap-1791	125	9	small	small	ADJ
ap-1791	125	10	group	group	NOUN
ap-1791	125	11	of	of	ADP
ap-1791	125	12	testing	testing	NOUN
ap-1791	125	13	data	datum	NOUN
ap-1791	125	14	.	.	PUNCT
ap-1791	126	1	96	96	NUM
ap-1791	126	2	vol	vol	NOUN
ap-1791	126	3	.	.	PUNCT
ap-1791	127	1	53	53	NUM
ap-1791	127	2	no	no	NOUN
ap-1791	127	3	.	.	PUNCT
ap-1791	128	1	2/2013	2/2013	NUM
ap-1791	128	2	predictive	predictive	ADJ
ap-1791	128	3	models	model	NOUN
ap-1791	128	4	in	in	ADP
ap-1791	128	5	diagnosis	diagnosis	NOUN
ap-1791	128	6	of	of	ADP
ap-1791	128	7	alzheimer	alzheimer	PROPN
ap-1791	128	8	’s	’s	PART
ap-1791	128	9	disease	disease	NOUN
ap-1791	128	10	from	from	ADP
ap-1791	128	11	eeg	eeg	PROPN
ap-1791	128	12	0	0	NUM
ap-1791	128	13	0.2	0.2	NUM
ap-1791	128	14	0.4	0.4	NUM
ap-1791	128	15	0.6	0.6	NUM
ap-1791	128	16	0.8	0.8	NUM
ap-1791	128	17	1	1	NUM
ap-1791	128	18	0	0	NUM
ap-1791	128	19	0.1	0.1	NUM
ap-1791	128	20	0.2	0.2	NUM
ap-1791	128	21	0.3	0.3	NUM
ap-1791	128	22	0.4	0.4	NUM
ap-1791	128	23	0.5	0.5	NUM
ap-1791	128	24	0.6	0.6	NUM
ap-1791	128	25	0.7	0.7	NUM
ap-1791	128	26	0.8	0.8	NUM
ap-1791	128	27	0.9	0.9	NUM
ap-1791	128	28	1	1	NUM
ap-1791	128	29	1	1	NUM
ap-1791	128	30	−	−	NOUN
ap-1791	128	31	sp	sp	ADP
ap-1791	128	32	se	se	X
ap-1791	128	33	figure	figure	NOUN
ap-1791	128	34	1	1	NUM
ap-1791	128	35	.	.	PUNCT
ap-1791	129	1	roc	roc	NOUN
ap-1791	129	2	for	for	ADP
ap-1791	129	3	ln	ln	ADJ
ap-1791	129	4	mad3	mad3	NOUN
ap-1791	129	5	6	6	NUM
ap-1791	129	6	.	.	PUNCT
ap-1791	129	7	conclusion	conclusion	NOUN
ap-1791	129	8	using	use	VERB
ap-1791	129	9	a	a	DET
ap-1791	129	10	symmetric	symmetric	ADJ
ap-1791	129	11	predictive	predictive	ADJ
ap-1791	129	12	model	model	NOUN
ap-1791	129	13	of	of	ADP
ap-1791	129	14	the	the	DET
ap-1791	129	15	eeg	eeg	PROPN
ap-1791	129	16	signal	signal	NOUN
ap-1791	129	17	and	and	CCONJ
ap-1791	129	18	mad3	mad3	NOUN
ap-1791	129	19	,	,	PUNCT
ap-1791	129	20	iqr	iqr	NOUN
ap-1791	129	21	,	,	PUNCT
ap-1791	129	22	and	and	CCONJ
ap-1791	129	23	med	med	ADJ
ap-1791	129	24	robust	robust	ADJ
ap-1791	129	25	measures	measure	NOUN
ap-1791	129	26	of	of	ADP
ap-1791	129	27	predictive	predictive	ADJ
ap-1791	129	28	error	error	NOUN
ap-1791	129	29	fluctuations	fluctuation	NOUN
ap-1791	129	30	,	,	PUNCT
ap-1791	129	31	we	we	PRON
ap-1791	129	32	recognize	recognize	VERB
ap-1791	129	33	significant	significant	ADJ
ap-1791	129	34	differences	difference	NOUN
ap-1791	129	35	between	between	ADP
ap-1791	129	36	ad	ad	NOUN
ap-1791	129	37	and	and	CCONJ
ap-1791	129	38	cn	cn	ADJ
ap-1791	129	39	groups	group	NOUN
ap-1791	129	40	in	in	ADP
ap-1791	129	41	the	the	DET
ap-1791	129	42	case	case	NOUN
ap-1791	129	43	of	of	ADP
ap-1791	129	44	frontal	frontal	ADJ
ap-1791	129	45	electrodes	electrode	NOUN
ap-1791	129	46	,	,	PUNCT
ap-1791	129	47	which	which	PRON
ap-1791	129	48	are	be	AUX
ap-1791	129	49	represented	represent	VERB
ap-1791	129	50	by	by	ADP
ap-1791	129	51	the	the	DET
ap-1791	129	52	second	second	ADJ
ap-1791	129	53	,	,	PUNCT
ap-1791	129	54	the	the	DET
ap-1791	129	55	third	third	ADJ
ap-1791	129	56	,	,	PUNCT
ap-1791	129	57	and	and	CCONJ
ap-1791	129	58	the	the	DET
ap-1791	129	59	fourth	fourth	ADJ
ap-1791	129	60	channel	channel	NOUN
ap-1791	129	61	of	of	ADP
ap-1791	129	62	eeg	eeg	PROPN
ap-1791	129	63	.	.	PUNCT
ap-1791	130	1	this	this	DET
ap-1791	130	2	result	result	NOUN
ap-1791	130	3	is	be	AUX
ap-1791	130	4	directly	directly	ADV
ap-1791	130	5	applicable	applicable	ADJ
ap-1791	130	6	to	to	ADP
ap-1791	130	7	the	the	DET
ap-1791	130	8	diagnosis	diagnosis	NOUN
ap-1791	130	9	of	of	ADP
ap-1791	130	10	alzheimer	alzheimer	PROPN
ap-1791	130	11	’s	’s	PART
ap-1791	130	12	disease	disease	NOUN
ap-1791	130	13	.	.	PUNCT
ap-1791	131	1	the	the	DET
ap-1791	131	2	accuracy	accuracy	NOUN
ap-1791	131	3	of	of	ADP
ap-1791	131	4	our	our	PRON
ap-1791	131	5	method	method	NOUN
ap-1791	131	6	is	be	AUX
ap-1791	131	7	63.64	63.64	NUM
ap-1791	131	8	%	%	NOUN
ap-1791	131	9	with	with	ADP
ap-1791	131	10	sensitivity	sensitivity	NOUN
ap-1791	131	11	84.62	84.62	NUM
ap-1791	131	12	%	%	NOUN
ap-1791	131	13	and	and	CCONJ
ap-1791	131	14	specificity	specificity	NOUN
ap-1791	131	15	59.71	59.71	NUM
ap-1791	131	16	%	%	NOUN
ap-1791	131	17	.	.	PUNCT
ap-1791	132	1	however	however	ADV
ap-1791	132	2	,	,	PUNCT
ap-1791	132	3	methods	method	NOUN
ap-1791	132	4	based	base	VERB
ap-1791	132	5	on	on	ADP
ap-1791	132	6	the	the	DET
ap-1791	132	7	modulation	modulation	NOUN
ap-1791	132	8	spectrum	spectrum	NOUN
ap-1791	132	9	and	and	CCONJ
ap-1791	132	10	the	the	DET
ap-1791	132	11	hilbert	hilbert	NOUN
ap-1791	132	12	transform	transform	NOUN
ap-1791	132	13	[	[	X
ap-1791	132	14	2	2	NUM
ap-1791	132	15	]	]	PUNCT
ap-1791	132	16	or	or	CCONJ
ap-1791	132	17	on	on	ADP
ap-1791	132	18	the	the	DET
ap-1791	132	19	visibility	visibility	NOUN
ap-1791	132	20	graph	graph	NOUN
ap-1791	132	21	algorithm	algorithm	NOUN
ap-1791	133	1	[	[	X
ap-1791	133	2	3	3	NUM
ap-1791	133	3	]	]	PUNCT
ap-1791	133	4	are	be	AUX
ap-1791	133	5	better	well	ADJ
ap-1791	133	6	in	in	ADP
ap-1791	133	7	accuracy	accuracy	NOUN
ap-1791	133	8	,	,	PUNCT
ap-1791	133	9	sensitivity	sensitivity	NOUN
ap-1791	133	10	,	,	PUNCT
ap-1791	133	11	and	and	CCONJ
ap-1791	133	12	specificity	specificity	NOUN
ap-1791	133	13	.	.	PUNCT
ap-1791	134	1	acknowledgements	acknowledgement	NOUN
ap-1791	134	2	this	this	DET
ap-1791	134	3	paper	paper	NOUN
ap-1791	134	4	was	be	AUX
ap-1791	134	5	created	create	VERB
ap-1791	134	6	with	with	ADP
ap-1791	134	7	support	support	NOUN
ap-1791	134	8	from	from	ADP
ap-1791	134	9	ctu	ctu	NOUN
ap-1791	134	10	in	in	ADP
ap-1791	134	11	prague	prague	PROPN
ap-1791	134	12	grant	grant	PROPN
ap-1791	134	13	sgs11/165	sgs11/165	PROPN
ap-1791	134	14	/	/	SYM
ap-1791	134	15	ohk4/3t/14	ohk4/3t/14	PROPN
ap-1791	134	16	.	.	PUNCT
ap-1791	135	1	references	reference	NOUN
ap-1791	135	2	[	[	X
ap-1791	135	3	1	1	NUM
ap-1791	135	4	]	]	PUNCT
ap-1791	135	5	musso	musso	PROPN
ap-1791	135	6	,	,	PUNCT
ap-1791	135	7	f.	f.	PROPN
ap-1791	135	8	,	,	PUNCT
ap-1791	135	9	brinkmeyer	brinkmeyer	PROPN
ap-1791	135	10	,	,	PUNCT
ap-1791	135	11	j.	j.	PROPN
ap-1791	135	12	,	,	PUNCT
ap-1791	135	13	mobascher	mobascher	PROPN
ap-1791	135	14	,	,	PUNCT
ap-1791	135	15	a.	a.	NOUN
ap-1791	135	16	,	,	PUNCT
ap-1791	135	17	warbrick	warbrick	VERB
ap-1791	135	18	,	,	PUNCT
ap-1791	135	19	t.	t.	PROPN
ap-1791	135	20	,	,	PUNCT
ap-1791	135	21	winterer	winterer	NOUN
ap-1791	135	22	,	,	PUNCT
ap-1791	135	23	g.	g.	PROPN
ap-1791	135	24	,	,	PUNCT
ap-1791	135	25	spontaneous	spontaneous	ADJ
ap-1791	135	26	brain	brain	NOUN
ap-1791	135	27	activity	activity	NOUN
ap-1791	135	28	and	and	CCONJ
ap-1791	135	29	eeg	eeg	NOUN
ap-1791	135	30	−7.5	−7.5	NOUN
ap-1791	135	31	−7	−7	NOUN
ap-1791	136	1	−6.5	−6.5	PROPN
ap-1791	136	2	−6	−6	PROPN
ap-1791	137	1	−5.5	−5.5	PROPN
ap-1791	137	2	−5	−5	ADV
ap-1791	138	1	−4.5	−4.5	PROPN
ap-1791	138	2	−4	−4	X
ap-1791	139	1	−3.5	−3.5	PROPN
ap-1791	139	2	ad	ad	NOUN
ap-1791	139	3	cn	cn	PROPN
ap-1791	140	1	ln	ln	PROPN
ap-1791	140	2	m	m	PROPN
ap-1791	140	3	a	a	DET
ap-1791	140	4	d	d	NUM
ap-1791	140	5	3	3	NUM
ap-1791	140	6	figure	figure	NOUN
ap-1791	140	7	2	2	NUM
ap-1791	140	8	.	.	X
ap-1791	141	1	boxplot	boxplot	NOUN
ap-1791	141	2	diagram	diagram	NOUN
ap-1791	141	3	for	for	ADP
ap-1791	141	4	ln	ln	ADJ
ap-1791	141	5	mad3	mad3	NOUN
ap-1791	141	6	microstates	microstate	NOUN
ap-1791	141	7	.	.	PUNCT
ap-1791	142	1	a	a	DET
ap-1791	142	2	novel	novel	ADJ
ap-1791	142	3	eeg	eeg	NOUN
ap-1791	142	4	/	/	SYM
ap-1791	142	5	fmri	fmri	NOUN
ap-1791	142	6	analysis	analysis	NOUN
ap-1791	142	7	approach	approach	NOUN
ap-1791	142	8	to	to	PART
ap-1791	142	9	explore	explore	VERB
ap-1791	142	10	resting	rest	VERB
ap-1791	142	11	-	-	PUNCT
ap-1791	142	12	state	state	NOUN
ap-1791	142	13	networks	network	NOUN
ap-1791	142	14	,	,	PUNCT
ap-1791	142	15	neuroimage	neuroimage	NOUN
ap-1791	142	16	,	,	PUNCT
ap-1791	142	17	vol.52	vol.52	NOUN
ap-1791	142	18	,	,	PUNCT
ap-1791	142	19	no.4	no.4	PROPN
ap-1791	142	20	,	,	PUNCT
ap-1791	142	21	2010	2010	NUM
ap-1791	142	22	,	,	PUNCT
ap-1791	142	23	pp	pp	ADJ
ap-1791	142	24	.	.	PUNCT
ap-1791	143	1	1149	1149	NUM
ap-1791	143	2	-	-	SYM
ap-1791	143	3	1161	1161	NUM
ap-1791	143	4	.	.	PUNCT
ap-1791	144	1	[	[	X
ap-1791	144	2	2	2	NUM
ap-1791	144	3	]	]	PUNCT
ap-1791	144	4	falk	falk	NOUN
ap-1791	144	5	,	,	PUNCT
ap-1791	144	6	t.	t.	PROPN
ap-1791	144	7	h.	h.	PROPN
ap-1791	144	8	,	,	PUNCT
ap-1791	144	9	et	et	PROPN
ap-1791	144	10	al	al	PROPN
ap-1791	144	11	.	.	PROPN
ap-1791	144	12	,	,	PUNCT
ap-1791	144	13	eeg	eeg	NOUN
ap-1791	144	14	amplitude	amplitude	NOUN
ap-1791	144	15	modulation	modulation	NOUN
ap-1791	144	16	analysis	analysis	NOUN
ap-1791	144	17	for	for	ADP
ap-1791	144	18	semiautomated	semiautomated	ADJ
ap-1791	144	19	diagnosis	diagnosis	NOUN
ap-1791	144	20	of	of	ADP
ap-1791	144	21	alzheimer	alzheimer	PROPN
ap-1791	144	22	’s	’s	PART
ap-1791	144	23	disease	disease	NOUN
ap-1791	144	24	,	,	PUNCT
ap-1791	144	25	eurasip	eurasip	PROPN
ap-1791	144	26	journal	journal	PROPN
ap-1791	144	27	on	on	ADP
ap-1791	144	28	advances	advance	NOUN
ap-1791	144	29	in	in	ADP
ap-1791	144	30	signal	signal	ADJ
ap-1791	144	31	processing	processing	NOUN
ap-1791	144	32	,	,	PUNCT
ap-1791	144	33	2012	2012	NUM
ap-1791	144	34	2012:192	2012:192	NOUN
ap-1791	144	35	.	.	PUNCT
ap-1791	145	1	[	[	X
ap-1791	145	2	3	3	NUM
ap-1791	145	3	]	]	PUNCT
ap-1791	145	4	ahmadlou	ahmadlou	ADJ
ap-1791	145	5	,	,	PUNCT
ap-1791	145	6	m.	m.	NOUN
ap-1791	145	7	,	,	PUNCT
ap-1791	145	8	adeli	adeli	NOUN
ap-1791	145	9	,	,	PUNCT
ap-1791	145	10	h.	h.	PROPN
ap-1791	145	11	,	,	PUNCT
ap-1791	145	12	adeli	adeli	PROPN
ap-1791	145	13	,	,	PUNCT
ap-1791	145	14	a.	a.	NOUN
ap-1791	145	15	,	,	PUNCT
ap-1791	145	16	new	new	ADJ
ap-1791	145	17	diagnostic	diagnostic	ADJ
ap-1791	145	18	eeg	eeg	NOUN
ap-1791	145	19	markers	marker	NOUN
ap-1791	145	20	of	of	ADP
ap-1791	145	21	the	the	DET
ap-1791	145	22	alzheimer	alzheimer	PROPN
ap-1791	145	23	’s	’s	PART
ap-1791	145	24	disease	disease	NOUN
ap-1791	145	25	using	use	VERB
ap-1791	145	26	visibility	visibility	NOUN
ap-1791	145	27	graph	graph	NOUN
ap-1791	145	28	,	,	PUNCT
ap-1791	145	29	eurasip	eurasip	NOUN
ap-1791	145	30	journal	journal	PROPN
ap-1791	145	31	on	on	ADP
ap-1791	145	32	advances	advance	NOUN
ap-1791	145	33	in	in	ADP
ap-1791	145	34	signal	signal	ADJ
ap-1791	145	35	processing	processing	NOUN
ap-1791	145	36	,	,	PUNCT
ap-1791	145	37	2010	2010	NUM
ap-1791	145	38	2010:177	2010:177	NOUN
ap-1791	145	39	.	.	PUNCT
ap-1791	146	1	[	[	X
ap-1791	146	2	4	4	NUM
ap-1791	146	3	]	]	X
ap-1791	146	4	niedermeyer	niedermeyer	NOUN
ap-1791	146	5	,	,	PUNCT
ap-1791	146	6	e.	e.	PROPN
ap-1791	146	7	,	,	PUNCT
ap-1791	146	8	lopes	lopes	PROPN
ap-1791	146	9	da	da	PROPN
ap-1791	146	10	silva	silva	PROPN
ap-1791	146	11	,	,	PUNCT
ap-1791	146	12	f.	f.	PROPN
ap-1791	146	13	,	,	PUNCT
ap-1791	146	14	electroencephalography	electroencephalography	NOUN
ap-1791	146	15	:	:	PUNCT
ap-1791	146	16	basic	basic	ADJ
ap-1791	146	17	principles	principle	NOUN
ap-1791	146	18	,	,	PUNCT
ap-1791	146	19	clinical	clinical	ADJ
ap-1791	146	20	applications	application	NOUN
ap-1791	146	21	,	,	PUNCT
ap-1791	146	22	and	and	CCONJ
ap-1791	146	23	related	related	ADJ
ap-1791	146	24	fields	field	NOUN
ap-1791	146	25	,	,	PUNCT
ap-1791	146	26	lippincott	lippincott	PROPN
ap-1791	146	27	williams	williams	PROPN
ap-1791	146	28	&	&	CCONJ
ap-1791	146	29	wilkins	wilkins	PROPN
ap-1791	146	30	,	,	PUNCT
ap-1791	146	31	2005	2005	NUM
ap-1791	146	32	.	.	PUNCT
ap-1791	147	1	[	[	X
ap-1791	147	2	5	5	NUM
ap-1791	147	3	]	]	PUNCT
ap-1791	147	4	priestley	priestley	NOUN
ap-1791	147	5	,	,	PUNCT
ap-1791	147	6	m.	m.	PROPN
ap-1791	147	7	b.	b.	PROPN
ap-1791	147	8	,	,	PUNCT
ap-1791	147	9	non	non	ADJ
ap-1791	147	10	-	-	ADJ
ap-1791	147	11	linear	linear	ADJ
ap-1791	147	12	and	and	CCONJ
ap-1791	147	13	non	non	ADJ
ap-1791	147	14	-	-	ADJ
ap-1791	147	15	stationary	stationary	ADJ
ap-1791	147	16	time	time	NOUN
ap-1791	147	17	series	series	PROPN
ap-1791	147	18	analysis	analysis	NOUN
ap-1791	147	19	,	,	PUNCT
ap-1791	147	20	academic	academic	ADJ
ap-1791	147	21	press	press	NOUN
ap-1791	147	22	,	,	PUNCT
ap-1791	147	23	1988	1988	NUM
ap-1791	147	24	.	.	PUNCT
ap-1791	148	1	[	[	X
ap-1791	148	2	6	6	NUM
ap-1791	148	3	]	]	PUNCT
ap-1791	148	4	björck	björck	NOUN
ap-1791	148	5	,	,	PUNCT
ap-1791	148	6	a.	a.	NOUN
ap-1791	148	7	,	,	PUNCT
ap-1791	148	8	numerical	numerical	ADJ
ap-1791	148	9	methods	method	NOUN
ap-1791	148	10	for	for	ADP
ap-1791	148	11	least	least	ADJ
ap-1791	148	12	squares	square	NOUN
ap-1791	148	13	problems	problem	NOUN
ap-1791	148	14	,	,	PUNCT
ap-1791	148	15	siam	siam	NOUN
ap-1791	148	16	,	,	PUNCT
ap-1791	148	17	1996	1996	NUM
ap-1791	148	18	.	.	PUNCT
ap-1791	149	1	[	[	X
ap-1791	149	2	7	7	X
ap-1791	149	3	]	]	X
ap-1791	149	4	meloun	meloun	ADJ
ap-1791	149	5	,	,	PUNCT
ap-1791	149	6	m.	m.	NOUN
ap-1791	149	7	,	,	PUNCT
ap-1791	149	8	militky	militky	PROPN
ap-1791	149	9	,	,	PUNCT
ap-1791	149	10	j.	j.	PROPN
ap-1791	149	11	,	,	PUNCT
ap-1791	149	12	the	the	DET
ap-1791	149	13	statistical	statistical	ADJ
ap-1791	149	14	analysis	analysis	NOUN
ap-1791	149	15	of	of	ADP
ap-1791	149	16	experimental	experimental	ADJ
ap-1791	149	17	data	datum	NOUN
ap-1791	149	18	,	,	PUNCT
ap-1791	149	19	academia	academia	NOUN
ap-1791	149	20	,	,	PUNCT
ap-1791	149	21	2004	2004	NUM
ap-1791	149	22	.	.	PUNCT
ap-1791	150	1	[	[	X
ap-1791	150	2	8	8	NUM
ap-1791	150	3	]	]	X
ap-1791	150	4	benjamini	benjamini	NOUN
ap-1791	150	5	,	,	PUNCT
ap-1791	150	6	y.	y.	PROPN
ap-1791	150	7	,	,	PUNCT
ap-1791	150	8	hochberg	hochberg	PROPN
ap-1791	150	9	,	,	PUNCT
ap-1791	150	10	y.	y.	PROPN
ap-1791	150	11	,	,	PUNCT
ap-1791	150	12	controlling	control	VERB
ap-1791	150	13	the	the	DET
ap-1791	150	14	false	false	ADJ
ap-1791	150	15	discovery	discovery	NOUN
ap-1791	150	16	rate	rate	NOUN
ap-1791	150	17	:	:	PUNCT
ap-1791	150	18	a	a	DET
ap-1791	150	19	practical	practical	ADJ
ap-1791	150	20	and	and	CCONJ
ap-1791	150	21	powerful	powerful	ADJ
ap-1791	150	22	approach	approach	NOUN
ap-1791	150	23	to	to	ADP
ap-1791	150	24	multiple	multiple	ADJ
ap-1791	150	25	testing	testing	NOUN
ap-1791	150	26	,	,	PUNCT
ap-1791	150	27	journal	journal	NOUN
ap-1791	150	28	of	of	ADP
ap-1791	150	29	the	the	DET
ap-1791	150	30	royal	royal	ADJ
ap-1791	150	31	statistical	statistical	ADJ
ap-1791	150	32	society	society	NOUN
ap-1791	150	33	,	,	PUNCT
ap-1791	150	34	vol.57	vol.57	NOUN
ap-1791	150	35	,	,	PUNCT
ap-1791	150	36	no.1	no.1	NUM
ap-1791	150	37	,	,	PUNCT
ap-1791	150	38	1995	1995	NUM
ap-1791	150	39	,	,	PUNCT
ap-1791	150	40	pp	pp	ADJ
ap-1791	150	41	.	.	PUNCT
ap-1791	151	1	289	289	NUM
ap-1791	151	2	-	-	SYM
ap-1791	151	3	300	300	NUM
ap-1791	151	4	.	.	PUNCT
ap-1791	152	1	[	[	X
ap-1791	152	2	9	9	NUM
ap-1791	152	3	]	]	SYM
ap-1791	152	4	fawcett	fawcett	PROPN
ap-1791	152	5	,	,	PUNCT
ap-1791	152	6	t.	t.	PROPN
ap-1791	152	7	,	,	PUNCT
ap-1791	152	8	an	an	DET
ap-1791	152	9	introduction	introduction	NOUN
ap-1791	152	10	to	to	ADP
ap-1791	152	11	roc	roc	PROPN
ap-1791	152	12	analysis	analysis	NOUN
ap-1791	152	13	,	,	PUNCT
ap-1791	152	14	pattern	pattern	NOUN
ap-1791	152	15	recognition	recognition	NOUN
ap-1791	152	16	letters	letter	NOUN
ap-1791	152	17	,	,	PUNCT
ap-1791	152	18	vol.27	vol.27	NOUN
ap-1791	152	19	,	,	PUNCT
ap-1791	152	20	no.8	no.8	PROPN
ap-1791	152	21	,	,	PUNCT
ap-1791	152	22	2006	2006	NUM
ap-1791	152	23	,	,	PUNCT
ap-1791	152	24	pp	pp	ADJ
ap-1791	152	25	.	.	PUNCT
ap-1791	153	1	861	861	NUM
ap-1791	153	2	-	-	SYM
ap-1791	153	3	874	874	NUM
ap-1791	153	4	.	.	PUNCT
ap-1791	154	1	97	97	NUM
ap-1791	154	2	acta	acta	PROPN
ap-1791	154	3	polytechnica	polytechnica	PROPN
ap-1791	154	4	53(2):94	53(2):94	PROPN
ap-1791	154	5	-	-	PROPN
ap-1791	154	6	-97	-97	PROPN
ap-1791	154	7	,	,	PUNCT
ap-1791	154	8	2013	2013	NUM
ap-1791	154	9	1	1	NUM
ap-1791	154	10	introduction	introduction	NOUN
ap-1791	154	11	2	2	NUM
ap-1791	154	12	models	model	NOUN
ap-1791	154	13	2.1	2.1	NUM
ap-1791	154	14	predictive	predictive	ADJ
ap-1791	154	15	model	model	NOUN
ap-1791	154	16	2.2	2.2	NUM
ap-1791	154	17	back	back	ADJ
ap-1791	154	18	-	-	PUNCT
ap-1791	154	19	predictive	predictive	NOUN
ap-1791	154	20	model	model	NOUN
ap-1791	154	21	2.3	2.3	NUM
ap-1791	154	22	symmetric	symmetric	ADJ
ap-1791	154	23	model	model	NOUN
ap-1791	154	24	2.4	2.4	NUM
ap-1791	154	25	model	model	NOUN
ap-1791	154	26	error	error	NOUN
ap-1791	154	27	3	3	NUM
ap-1791	154	28	fluctuation	fluctuation	NOUN
ap-1791	154	29	of	of	ADP
ap-1791	154	30	the	the	DET
ap-1791	154	31	model	model	NOUN
ap-1791	154	32	error	error	NOUN
ap-1791	154	33	4	4	NUM
ap-1791	154	34	experimental	experimental	ADJ
ap-1791	154	35	part	part	NOUN
ap-1791	154	36	5	5	NUM
ap-1791	154	37	discussion	discussion	NOUN
ap-1791	154	38	6	6	NUM
ap-1791	154	39	conclusion	conclusion	NOUN
ap-1791	154	40	acknowledgements	acknowledgement	NOUN
ap-1791	154	41	references	reference	NOUN