id	sid	tid	token	lemma	pos
aiti-419	1	1	advances	advance	NOUN
aiti-419	1	2	in	in	ADP
aiti-419	1	3	technology	technology	NOUN
aiti-419	1	4	innovation	innovation	NOUN
aiti-419	1	5	,	,	PUNCT
aiti-419	1	6	vol	vol	NOUN
aiti-419	1	7	.	.	PROPN
aiti-419	2	1	2	2	NUM
aiti-419	2	2	,	,	PUNCT
aiti-419	2	3	no	no	INTJ
aiti-419	2	4	.	.	NOUN
aiti-419	2	5	3	3	NUM
aiti-419	2	6	,	,	PUNCT
aiti-419	2	7	2016	2016	NUM
aiti-419	2	8	,	,	PUNCT
aiti-419	2	9	pp	pp	ADV
aiti-419	2	10	.	.	PUNCT
aiti-419	3	1	89	89	NUM
aiti-419	3	2	94	94	NUM
aiti-419	3	3	89	89	NUM
aiti-419	3	4	biosignal	biosignal	NOUN
aiti-419	3	5	–	–	PUNCT
aiti-419	3	6	based	base	VERB
aiti-419	3	7	multimodal	multimodal	ADJ
aiti-419	3	8	biometric	biometric	ADJ
aiti-419	3	9	system	system	NOUN
aiti-419	3	10	kuk	kuk	PROPN
aiti-419	3	11	won	win	VERB
aiti-419	3	12	ko	ko	PROPN
aiti-419	3	13	and	and	CCONJ
aiti-419	3	14	sangjoon	sangjoon	PROPN
aiti-419	3	15	lee	lee	PROPN
aiti-419	3	16	*	*	PROPN
aiti-419	3	17	school	school	PROPN
aiti-419	3	18	of	of	ADP
aiti-419	3	19	mechanical	mechanical	ADJ
aiti-419	3	20	and	and	CCONJ
aiti-419	3	21	ict	ict	PROPN
aiti-419	3	22	convergence	convergence	NOUN
aiti-419	3	23	engineering	engineering	NOUN
aiti-419	3	24	,	,	PUNCT
aiti-419	3	25	sun	sun	PROPN
aiti-419	3	26	moon	moon	PROPN
aiti-419	3	27	university	university	PROPN
aiti-419	3	28	,	,	PUNCT
aiti-419	3	29	s.	s.	PROPN
aiti-419	3	30	korea	korea	PROPN
aiti-419	3	31	.	.	PUNCT
aiti-419	4	1	received	receive	VERB
aiti-419	4	2	02	02	NUM
aiti-419	4	3	may	may	PROPN
aiti-419	4	4	2016	2016	NUM
aiti-419	4	5	;	;	PUNCT
aiti-419	4	6	received	receive	VERB
aiti-419	4	7	in	in	ADP
aiti-419	4	8	revised	revise	VERB
aiti-419	4	9	form	form	NOUN
aiti-419	4	10	25	25	NUM
aiti-419	4	11	june	june	PROPN
aiti-419	4	12	2016	2016	NUM
aiti-419	4	13	;	;	PUNCT
aiti-419	4	14	accepted	accept	VERB
aiti-419	4	15	26	26	NUM
aiti-419	4	16	june	june	PROPN
aiti-419	4	17	2016	2016	NUM
aiti-419	4	18	abstract	abstract	ADV
aiti-419	4	19	this	this	DET
aiti-419	4	20	study	study	NOUN
aiti-419	4	21	concerns	concern	VERB
aiti-419	4	22	personal	personal	ADJ
aiti-419	4	23	identification	identification	NOUN
aiti-419	4	24	based	base	VERB
aiti-419	4	25	on	on	ADP
aiti-419	4	26	electrocardiogram	electrocardiogram	NOUN
aiti-419	4	27	(	(	PUNCT
aiti-419	4	28	ecg	ecg	PROPN
aiti-419	4	29	)	)	PUNCT
aiti-419	4	30	and	and	CCONJ
aiti-419	4	31	photoplethysmogram	photoplethysmogram	PROPN
aiti-419	4	32	(	(	PUNCT
aiti-419	4	33	ppg	ppg	ADJ
aiti-419	4	34	)	)	PUNCT
aiti-419	4	35	signals	signal	NOUN
aiti-419	4	36	.	.	PUNCT
aiti-419	5	1	we	we	PRON
aiti-419	5	2	manufactured	manufacture	VERB
aiti-419	5	3	a	a	DET
aiti-419	5	4	bio	bio	ADJ
aiti-419	5	5	-	-	PUNCT
aiti-419	5	6	signal	signal	ADJ
aiti-419	5	7	measurement	measurement	NOUN
aiti-419	5	8	system	system	NOUN
aiti-419	5	9	that	that	PRON
aiti-419	5	10	can	can	AUX
aiti-419	5	11	simultaneously	simultaneously	ADV
aiti-419	5	12	measure	measure	VERB
aiti-419	5	13	ecg	ecg	PROPN
aiti-419	5	14	and	and	CCONJ
aiti-419	5	15	ppg	ppg	PROPN
aiti-419	5	16	signals	signal	NOUN
aiti-419	5	17	,	,	PUNCT
aiti-419	5	18	using	use	VERB
aiti-419	5	19	which	which	PRON
aiti-419	5	20	three	three	NUM
aiti-419	5	21	channels	channel	NOUN
aiti-419	5	22	of	of	ADP
aiti-419	5	23	ecg	ecg	PROPN
aiti-419	5	24	signal	signal	NOUN
aiti-419	5	25	and	and	CCONJ
aiti-419	5	26	one	one	NUM
aiti-419	5	27	channel	channel	NOUN
aiti-419	5	28	of	of	ADP
aiti-419	5	29	ppg	ppg	PROPN
aiti-419	5	30	signal	signal	NOUN
aiti-419	5	31	were	be	AUX
aiti-419	5	32	acquired	acquire	VERB
aiti-419	5	33	from	from	ADP
aiti-419	5	34	the	the	DET
aiti-419	5	35	right	right	ADJ
aiti-419	5	36	-	-	PUNCT
aiti-419	5	37	hand	hand	NOUN
aiti-419	5	38	index	index	NOUN
aiti-419	5	39	finger	finger	NOUN
aiti-419	5	40	of	of	ADP
aiti-419	5	41	a	a	DET
aiti-419	5	42	total	total	NOUN
aiti-419	5	43	of	of	ADP
aiti-419	5	44	33	33	NUM
aiti-419	5	45	subsets	subset	NOUN
aiti-419	5	46	for	for	ADP
aiti-419	5	47	3	3	NUM
aiti-419	5	48	minutes	minute	NOUN
aiti-419	5	49	.	.	PUNCT
aiti-419	6	1	lead	lead	NOUN
aiti-419	6	2	-	-	PUNCT
aiti-419	6	3	i	i	PRON
aiti-419	6	4	signal	signal	NOUN
aiti-419	6	5	of	of	ADP
aiti-419	6	6	the	the	DET
aiti-419	6	7	three	three	NUM
aiti-419	6	8	-	-	PUNCT
aiti-419	6	9	channel	channel	NOUN
aiti-419	6	10	ecg	ecg	PROPN
aiti-419	6	11	signal	signal	NOUN
aiti-419	6	12	and	and	CCONJ
aiti-419	6	13	the	the	DET
aiti-419	6	14	one	one	NUM
aiti-419	6	15	-	-	PUNCT
aiti-419	6	16	channel	channel	NOUN
aiti-419	6	17	ppg	ppg	NOUN
aiti-419	6	18	signal	signal	NOUN
aiti-419	6	19	were	be	AUX
aiti-419	6	20	selected	select	VERB
aiti-419	6	21	for	for	ADP
aiti-419	6	22	recognition	recognition	NOUN
aiti-419	6	23	.	.	PUNCT
aiti-419	7	1	for	for	ADP
aiti-419	7	2	each	each	DET
aiti-419	7	3	subject	subject	NOUN
aiti-419	7	4	,	,	PUNCT
aiti-419	7	5	160	160	NUM
aiti-419	7	6	heartbeats	heartbeat	NOUN
aiti-419	7	7	were	be	AUX
aiti-419	7	8	automatically	automatically	ADV
aiti-419	7	9	separated	separate	VERB
aiti-419	7	10	from	from	ADP
aiti-419	7	11	the	the	DET
aiti-419	7	12	acquired	acquire	VERB
aiti-419	7	13	bio	bio	NOUN
aiti-419	7	14	-	-	PUNCT
aiti-419	7	15	signals	signal	NOUN
aiti-419	7	16	,	,	PUNCT
aiti-419	7	17	and	and	CCONJ
aiti-419	7	18	a	a	DET
aiti-419	7	19	total	total	NOUN
aiti-419	7	20	of	of	ADP
aiti-419	7	21	21	21	NUM
aiti-419	7	22	features	feature	NOUN
aiti-419	7	23	,	,	PUNCT
aiti-419	7	24	comprising	comprise	VERB
aiti-419	7	25	15	15	NUM
aiti-419	7	26	ecg	ecg	PROPN
aiti-419	7	27	features	feature	NOUN
aiti-419	7	28	,	,	PUNCT
aiti-419	7	29	4	4	NUM
aiti-419	7	30	ecg	ecg	PROPN
aiti-419	7	31	-	-	PUNCT
aiti-419	7	32	related	relate	VERB
aiti-419	7	33	ppg	ppg	NOUN
aiti-419	7	34	features	feature	NOUN
aiti-419	7	35	,	,	PUNCT
aiti-419	7	36	and	and	CCONJ
aiti-419	7	37	2	2	NUM
aiti-419	7	38	features	feature	NOUN
aiti-419	7	39	concerning	concern	VERB
aiti-419	7	40	ppg	ppg	NOUN
aiti-419	7	41	only	only	ADV
aiti-419	7	42	,	,	PUNCT
aiti-419	7	43	were	be	AUX
aiti-419	7	44	extracted	extract	VERB
aiti-419	7	45	from	from	ADP
aiti-419	7	46	each	each	DET
aiti-419	7	47	heartbeat	heartbeat	NOUN
aiti-419	7	48	.	.	PUNCT
aiti-419	8	1	letting	let	VERB
aiti-419	8	2	the	the	DET
aiti-419	8	3	21	21	NUM
aiti-419	8	4	features	feature	NOUN
aiti-419	8	5	form	form	VERB
aiti-419	8	6	a	a	DET
aiti-419	8	7	single	single	ADJ
aiti-419	8	8	data	data	NOUN
aiti-419	8	9	point	point	NOUN
aiti-419	8	10	,	,	PUNCT
aiti-419	8	11	heartbeat	heartbeat	NOUN
aiti-419	8	12	features	feature	NOUN
aiti-419	8	13	of	of	ADP
aiti-419	8	14	each	each	DET
aiti-419	8	15	subset	subset	NOUN
aiti-419	8	16	were	be	AUX
aiti-419	8	17	used	use	VERB
aiti-419	8	18	as	as	ADP
aiti-419	8	19	the	the	DET
aiti-419	8	20	training	training	NOUN
aiti-419	8	21	data	datum	NOUN
aiti-419	8	22	for	for	ADP
aiti-419	8	23	a	a	DET
aiti-419	8	24	support	support	NOUN
aiti-419	8	25	vector	vector	NOUN
aiti-419	8	26	machine	machine	NOUN
aiti-419	8	27	(	(	PUNCT
aiti-419	8	28	svm	svm	ADJ
aiti-419	8	29	)	)	PUNCT
aiti-419	8	30	classifier	classifier	NOUN
aiti-419	8	31	,	,	PUNCT
aiti-419	8	32	with	with	ADP
aiti-419	8	33	the	the	DET
aiti-419	8	34	number	number	NOUN
aiti-419	8	35	of	of	ADP
aiti-419	8	36	data	datum	NOUN
aiti-419	8	37	points	point	NOUN
aiti-419	8	38	being	be	AUX
aiti-419	8	39	adjusted	adjust	VERB
aiti-419	8	40	from	from	ADP
aiti-419	8	41	10	10	NUM
aiti-419	8	42	to	to	PART
aiti-419	8	43	80	80	NUM
aiti-419	8	44	,	,	PUNCT
aiti-419	8	45	and	and	CCONJ
aiti-419	8	46	the	the	DET
aiti-419	8	47	data	data	NOUN
aiti-419	8	48	points	point	NOUN
aiti-419	8	49	(	(	PUNCT
aiti-419	8	50	80	80	NUM
aiti-419	8	51	–	–	SYM
aiti-419	8	52	150	150	NUM
aiti-419	8	53	)	)	PUNCT
aiti-419	8	54	other	other	ADJ
aiti-419	8	55	than	than	ADP
aiti-419	8	56	the	the	DET
aiti-419	8	57	training	training	NOUN
aiti-419	8	58	data	datum	NOUN
aiti-419	8	59	were	be	AUX
aiti-419	8	60	used	use	VERB
aiti-419	8	61	as	as	ADP
aiti-419	8	62	the	the	DET
aiti-419	8	63	testing	testing	NOUN
aiti-419	8	64	data	datum	NOUN
aiti-419	8	65	,	,	PUNCT
aiti-419	8	66	in	in	ADP
aiti-419	8	67	order	order	NOUN
aiti-419	8	68	to	to	PART
aiti-419	8	69	investigate	investigate	VERB
aiti-419	8	70	the	the	DET
aiti-419	8	71	recognition	recognition	NOUN
aiti-419	8	72	performance	performance	NOUN
aiti-419	8	73	indices	index	NOUN
aiti-419	8	74	.	.	PUNCT
aiti-419	9	1	as	as	ADP
aiti-419	9	2	a	a	DET
aiti-419	9	3	result	result	NOUN
aiti-419	9	4	,	,	PUNCT
aiti-419	9	5	the	the	DET
aiti-419	9	6	proposed	propose	VERB
aiti-419	9	7	algorithm	algorithm	NOUN
aiti-419	9	8	showed	show	VERB
aiti-419	9	9	high	high	ADJ
aiti-419	9	10	recognition	recognition	NOUN
aiti-419	9	11	performance	performance	NOUN
aiti-419	9	12	of	of	ADP
aiti-419	9	13	99.28	99.28	NUM
aiti-419	9	14	%	%	NOUN
aiti-419	9	15	accuracy	accuracy	NOUN
aiti-419	9	16	,	,	PUNCT
aiti-419	9	17	0.88	0.88	NUM
aiti-419	9	18	%	%	NOUN
aiti-419	9	19	frr	frr	NOUN
aiti-419	9	20	,	,	PUNCT
aiti-419	9	21	0.85	0.85	NUM
aiti-419	9	22	%	%	NOUN
aiti-419	9	23	far	far	ADV
aiti-419	9	24	,	,	PUNCT
aiti-419	9	25	99.28	99.28	NUM
aiti-419	9	26	%	%	NOUN
aiti-419	9	27	sensitivity	sensitivity	NOUN
aiti-419	9	28	,	,	PUNCT
aiti-419	9	29	and	and	CCONJ
aiti-419	9	30	99.31	99.31	NUM
aiti-419	9	31	%	%	NOUN
aiti-419	9	32	specificity	specificity	NOUN
aiti-419	9	33	,	,	PUNCT
aiti-419	9	34	when	when	SCONJ
aiti-419	9	35	there	there	PRON
aiti-419	9	36	are	be	VERB
aiti-419	9	37	80	80	NUM
aiti-419	9	38	training	training	NOUN
aiti-419	9	39	data	datum	NOUN
aiti-419	9	40	points	point	NOUN
aiti-419	9	41	.	.	PUNCT
aiti-419	10	1	moreover	moreover	ADV
aiti-419	10	2	,	,	PUNCT
aiti-419	10	3	even	even	ADV
aiti-419	10	4	when	when	SCONJ
aiti-419	10	5	there	there	PRON
aiti-419	10	6	are	be	VERB
aiti-419	10	7	10	10	NUM
aiti-419	10	8	training	training	NOUN
aiti-419	10	9	data	datum	NOUN
aiti-419	10	10	points	point	NOUN
aiti-419	10	11	,	,	PUNCT
aiti-419	10	12	the	the	DET
aiti-419	10	13	proposed	propose	VERB
aiti-419	10	14	algorithm	algorithm	NOUN
aiti-419	10	15	showed	show	VERB
aiti-419	10	16	the	the	DET
aiti-419	10	17	performance	performance	NOUN
aiti-419	10	18	of	of	ADP
aiti-419	10	19	92.77	92.77	NUM
aiti-419	10	20	%	%	NOUN
aiti-419	10	21	accuracy	accuracy	NOUN
aiti-419	10	22	,	,	PUNCT
aiti-419	10	23	7.23	7.23	NUM
aiti-419	10	24	%	%	NOUN
aiti-419	10	25	frr	frr	NOUN
aiti-419	10	26	,	,	PUNCT
aiti-419	10	27	6.29	6.29	NUM
aiti-419	10	28	%	%	NOUN
aiti-419	10	29	far	far	ADV
aiti-419	10	30	,	,	PUNCT
aiti-419	10	31	92.77	92.77	NUM
aiti-419	10	32	%	%	NOUN
aiti-419	10	33	sensitivity	sensitivity	NOUN
aiti-419	10	34	,	,	PUNCT
aiti-419	10	35	and	and	CCONJ
aiti-419	10	36	93.21	93.21	NUM
aiti-419	10	37	%	%	NOUN
aiti-419	10	38	specificity	specificity	NOUN
aiti-419	10	39	,	,	PUNCT
aiti-419	10	40	which	which	PRON
aiti-419	10	41	can	can	AUX
aiti-419	10	42	be	be	AUX
aiti-419	10	43	evaluated	evaluate	VERB
aiti-419	10	44	as	as	ADP
aiti-419	10	45	an	an	DET
aiti-419	10	46	extremely	extremely	ADV
aiti-419	10	47	high	high	ADJ
aiti-419	10	48	recognition	recognition	NOUN
aiti-419	10	49	performance	performance	NOUN
aiti-419	10	50	considering	consider	VERB
aiti-419	10	51	that	that	SCONJ
aiti-419	10	52	there	there	PRON
aiti-419	10	53	was	be	VERB
aiti-419	10	54	a	a	DET
aiti-419	10	55	total	total	NOUN
aiti-419	10	56	of	of	ADP
aiti-419	10	57	4,950	4,950	NUM
aiti-419	10	58	testing	testing	NOUN
aiti-419	10	59	data	datum	NOUN
aiti-419	10	60	points	point	NOUN
aiti-419	10	61	.	.	PUNCT
aiti-419	11	1	keywords	keyword	NOUN
aiti-419	11	2	:	:	PUNCT
aiti-419	11	3	biometric	biometric	ADJ
aiti-419	11	4	,	,	PUNCT
aiti-419	11	5	pattern	pattern	NOUN
aiti-419	11	6	recognition	recognition	NOUN
aiti-419	11	7	,	,	PUNCT
aiti-419	11	8	personal	personal	ADJ
aiti-419	11	9	identification	identification	NOUN
aiti-419	11	10	1	1	NUM
aiti-419	11	11	.	.	PUNCT
aiti-419	12	1	introduction	introduction	NOUN
aiti-419	12	2	following	follow	VERB
aiti-419	12	3	the	the	DET
aiti-419	12	4	rapid	rapid	ADJ
aiti-419	12	5	recent	recent	ADJ
aiti-419	12	6	advances	advance	NOUN
aiti-419	12	7	in	in	ADP
aiti-419	12	8	information	information	NOUN
aiti-419	12	9	technology	technology	NOUN
aiti-419	12	10	(	(	PUNCT
aiti-419	12	11	it	it	PRON
aiti-419	12	12	)	)	PUNCT
aiti-419	12	13	,	,	PUNCT
aiti-419	12	14	the	the	DET
aiti-419	12	15	demand	demand	NOUN
aiti-419	12	16	for	for	ADP
aiti-419	12	17	biometric	biometric	ADJ
aiti-419	12	18	recognition	recognition	NOUN
aiti-419	12	19	technology	technology	NOUN
aiti-419	12	20	is	be	AUX
aiti-419	12	21	increasing	increase	VERB
aiti-419	12	22	for	for	ADP
aiti-419	12	23	the	the	DET
aiti-419	12	24	purpose	purpose	NOUN
aiti-419	12	25	of	of	ADP
aiti-419	12	26	information	information	NOUN
aiti-419	12	27	security	security	NOUN
aiti-419	12	28	and	and	CCONJ
aiti-419	12	29	the	the	DET
aiti-419	12	30	prevention	prevention	NOUN
aiti-419	12	31	of	of	ADP
aiti-419	12	32	privacy	privacy	NOUN
aiti-419	12	33	invasion	invasion	NOUN
aiti-419	12	34	.	.	PUNCT
aiti-419	13	1	fingerprints	fingerprint	NOUN
aiti-419	13	2	,	,	PUNCT
aiti-419	13	3	iris	iris	NOUN
aiti-419	13	4	,	,	PUNCT
aiti-419	13	5	facial	facial	ADJ
aiti-419	13	6	features	feature	NOUN
aiti-419	13	7	,	,	PUNCT
aiti-419	13	8	dorsal	dorsal	NOUN
aiti-419	13	9	metacarpal	metacarpal	NOUN
aiti-419	13	10	veins	vein	NOUN
aiti-419	13	11	of	of	ADP
aiti-419	13	12	the	the	DET
aiti-419	13	13	hand	hand	NOUN
aiti-419	13	14	,	,	PUNCT
aiti-419	13	15	or	or	CCONJ
aiti-419	13	16	gait	gait	NOUN
aiti-419	13	17	,	,	PUNCT
aiti-419	13	18	which	which	PRON
aiti-419	13	19	are	be	AUX
aiti-419	13	20	the	the	DET
aiti-419	13	21	intrinsic	intrinsic	ADJ
aiti-419	13	22	features	feature	NOUN
aiti-419	13	23	of	of	ADP
aiti-419	13	24	human	human	ADJ
aiti-419	13	25	body	body	NOUN
aiti-419	13	26	,	,	PUNCT
aiti-419	13	27	are	be	AUX
aiti-419	13	28	used	use	VERB
aiti-419	13	29	as	as	ADP
aiti-419	13	30	the	the	DET
aiti-419	13	31	main	main	ADJ
aiti-419	13	32	elements	element	NOUN
aiti-419	13	33	of	of	ADP
aiti-419	13	34	existing	exist	VERB
aiti-419	13	35	recognition	recognition	NOUN
aiti-419	13	36	systems	system	NOUN
aiti-419	13	37	.	.	PUNCT
aiti-419	14	1	biological	biological	ADJ
aiti-419	14	2	features	feature	NOUN
aiti-419	14	3	for	for	ADP
aiti-419	14	4	b	b	PROPN
aiti-419	14	5	iometric	iometric	NOUN
aiti-419	14	6	recognition	recognition	NOUN
aiti-419	14	7	can	can	AUX
aiti-419	14	8	be	be	AUX
aiti-419	14	9	selected	select	VERB
aiti-419	14	10	the	the	DET
aiti-419	14	11	characteristics	characteristic	NOUN
aiti-419	14	12	that	that	PRON
aiti-419	14	13	have	have	VERB
aiti-419	14	14	almost	almost	ADV
aiti-419	14	15	no	no	PRON
aiti-419	14	16	variation	variation	NOUN
aiti-419	14	17	with	with	ADP
aiti-419	14	18	time	time	NOUN
aiti-419	14	19	,	,	PUNCT
aiti-419	14	20	or	or	CCONJ
aiti-419	14	21	reflect	reflect	VERB
aiti-419	14	22	slow	slow	ADJ
aiti-419	14	23	variation	variation	NOUN
aiti-419	14	24	with	with	ADP
aiti-419	14	25	time	time	NOUN
aiti-419	14	26	.	.	PUNCT
aiti-419	15	1	this	this	DET
aiti-419	15	2	study	study	NOUN
aiti-419	15	3	introduces	introduce	VERB
aiti-419	15	4	a	a	DET
aiti-419	15	5	multimodal	multimodal	ADJ
aiti-419	15	6	biometric	biometric	ADJ
aiti-419	15	7	system	system	NOUN
aiti-419	15	8	and	and	CCONJ
aiti-419	15	9	algorithm	algorithm	NOUN
aiti-419	15	10	based	base	VERB
aiti-419	15	11	on	on	ADP
aiti-419	15	12	electrocardiogram	electrocardiogram	NOUN
aiti-419	15	13	(	(	PUNCT
aiti-419	15	14	ecg	ecg	PROPN
aiti-419	15	15	)	)	PUNCT
aiti-419	15	16	and	and	CCONJ
aiti-419	15	17	photoplethysmogram(ppg	photoplethysmogram(ppg	ADJ
aiti-419	15	18	)	)	PUNCT
aiti-419	15	19	signals	signal	NOUN
aiti-419	15	20	.	.	PUNCT
aiti-419	16	1	it	it	PRON
aiti-419	16	2	is	be	AUX
aiti-419	16	3	known	know	VERB
aiti-419	16	4	that	that	SCONJ
aiti-419	16	5	there	there	PRON
aiti-419	16	6	are	be	VERB
aiti-419	16	7	around	around	ADV
aiti-419	16	8	80,000	80,000	NUM
aiti-419	16	9	–	–	PUNCT
aiti-419	16	10	100,000	100,000	NUM
aiti-419	16	11	contractions	contraction	NOUN
aiti-419	16	12	in	in	ADP
aiti-419	16	13	a	a	DET
aiti-419	16	14	healthy	healthy	ADJ
aiti-419	16	15	heart	heart	NOUN
aiti-419	16	16	in	in	ADP
aiti-419	16	17	o	o	PROPN
aiti-419	16	18	rder	rder	NOUN
aiti-419	16	19	to	to	PART
aiti-419	16	20	circulate	circulate	VERB
aiti-419	16	21	the	the	DET
aiti-419	16	22	blood	blood	NOUN
aiti-419	16	23	in	in	ADP
aiti-419	16	24	at	at	ADP
aiti-419	16	25	ria	ria	PROPN
aiti-419	16	26	to	to	ADP
aiti-419	16	27	the	the	DET
aiti-419	16	28	vessels	vessel	NOUN
aiti-419	16	29	of	of	ADP
aiti-419	16	30	the	the	DET
aiti-419	16	31	entire	entire	ADJ
aiti-419	16	32	body	body	NOUN
aiti-419	16	33	,	,	PUNCT
aiti-419	16	34	within	within	ADP
aiti-419	16	35	0.1	0.1	NUM
aiti-419	16	36	%	%	NOUN
aiti-419	16	37	cases	case	NOUN
aiti-419	16	38	of	of	ADP
aiti-419	16	39	which	which	PRON
aiti-419	16	40	exh	exh	PROPN
aiti-419	16	41	ibit	ibit	VERB
aiti-419	16	42	abnormal	abnormal	ADJ
aiti-419	16	43	ecg	ecg	PROPN
aiti-419	16	44	waveforms	waveform	NOUN
aiti-419	16	45	.	.	PUNCT
aiti-419	17	1	moreover	moreover	ADV
aiti-419	17	2	,	,	PUNCT
aiti-419	17	3	ecg	ecg	PROPN
aiti-419	17	4	s	s	PART
aiti-419	17	5	ignals	ignal	NOUN
aiti-419	17	6	are	be	AUX
aiti-419	17	7	known	know	VERB
aiti-419	17	8	to	to	PART
aiti-419	17	9	be	be	AUX
aiti-419	17	10	regular	regular	ADJ
aiti-419	17	11	and	and	CCONJ
aiti-419	17	12	convenient	convenient	ADJ
aiti-419	17	13	for	for	ADP
aiti-419	17	14	pattern	pattern	NOUN
aiti-419	17	15	classification	classification	NOUN
aiti-419	17	16	compared	compare	VERB
aiti-419	17	17	to	to	ADP
aiti-419	17	18	other	other	ADJ
aiti-419	17	19	bio	bio	NOUN
aiti-419	17	20	-	-	PUNCT
aiti-419	17	21	signals	signal	NOUN
aiti-419	17	22	.	.	PUNCT
aiti-419	18	1	ppg	ppg	PROPN
aiti-419	18	2	signals	signal	NOUN
aiti-419	18	3	are	be	AUX
aiti-419	18	4	bio	bio	NOUN
aiti-419	18	5	-	-	PUNCT
aiti-419	18	6	signals	signal	NOUN
aiti-419	18	7	that	that	PRON
aiti-419	18	8	are	be	AUX
aiti-419	18	9	linked	link	VERB
aiti-419	18	10	with	with	ADP
aiti-419	18	11	ecg	ecg	PROPN
aiti-419	18	12	signals	signal	NOUN
aiti-419	18	13	,	,	PUNCT
aiti-419	18	14	and	and	CCONJ
aiti-419	18	15	also	also	ADV
aiti-419	18	16	represent	represent	VERB
aiti-419	18	17	the	the	DET
aiti-419	18	18	state	state	NOUN
aiti-419	18	19	of	of	ADP
aiti-419	18	20	b	b	PROPN
aiti-419	18	21	lood	lood	NOUN
aiti-419	18	22	vessels	vessel	NOUN
aiti-419	18	23	of	of	ADP
aiti-419	18	24	the	the	DET
aiti-419	18	25	subject	subject	NOUN
aiti-419	18	26	with	with	ADP
aiti-419	18	27	heart	heart	NOUN
aiti-419	18	28	contraction	contraction	NOUN
aiti-419	18	29	.	.	PUNCT
aiti-419	19	1	furthermore	furthermore	ADV
aiti-419	19	2	,	,	PUNCT
aiti-419	19	3	while	while	SCONJ
aiti-419	19	4	ecg	ecg	PROPN
aiti-419	19	5	and	and	CCONJ
aiti-419	19	6	ppg	ppg	ADJ
aiti-419	19	7	waveforms	waveform	NOUN
aiti-419	19	8	of	of	ADP
aiti-419	19	9	an	an	DET
aiti-419	19	10	indiv	indiv	ADJ
aiti-419	19	11	idual	idual	ADJ
aiti-419	19	12	subject	subject	NOUN
aiti-419	19	13	vary	vary	VERB
aiti-419	19	14	slightly	slightly	ADV
aiti-419	19	15	at	at	ADP
aiti-419	19	16	each	each	DET
aiti-419	19	17	time	time	NOUN
aiti-419	19	18	,	,	PUNCT
aiti-419	19	19	these	these	DET
aiti-419	19	20	signals	signal	NOUN
aiti-419	19	21	have	have	VERB
aiti-419	19	22	the	the	DET
aiti-419	19	23	characteristics	characteristic	NOUN
aiti-419	19	24	of	of	ADP
aiti-419	19	25	unchanging	unchanging	ADJ
aiti-419	19	26	overall	overall	ADJ
aiti-419	19	27	pattern	pattern	NOUN
aiti-419	19	28	.	.	PUNCT
aiti-419	20	1	the	the	DET
aiti-419	20	2	first	first	ADJ
aiti-419	20	3	study	study	NOUN
aiti-419	20	4	on	on	ADP
aiti-419	20	5	recognition	recognition	NOUN
aiti-419	20	6	systems	system	NOUN
aiti-419	20	7	based	base	VERB
aiti-419	20	8	on	on	ADP
aiti-419	20	9	bio	bio	NOUN
aiti-419	20	10	-	-	PUNCT
aiti-419	20	11	signals	signal	NOUN
aiti-419	20	12	was	be	AUX
aiti-419	20	13	introduced	introduce	VERB
aiti-419	20	14	by	by	ADP
aiti-419	20	15	lena	lena	PROPN
aiti-419	20	16	biel	biel	PROPN
aiti-419	21	1	[	[	X
aiti-419	21	2	1	1	X
aiti-419	21	3	]	]	PUNCT
aiti-419	21	4	in	in	ADP
aiti-419	21	5	2001	2001	NUM
aiti-419	21	6	,	,	PUNCT
aiti-419	21	7	followed	follow	VERB
aiti-419	21	8	by	by	ADP
aiti-419	21	9	few	few	ADJ
aiti-419	21	10	researchers	researcher	NOUN
aiti-419	21	11	around	around	ADP
aiti-419	21	12	the	the	DET
aiti-419	21	13	world	world	NOUN
aiti-419	21	14	.	.	PUNCT
aiti-419	22	1	john	john	PROPN
aiti-419	22	2	m.	m.	PROPN
aiti-419	22	3	irvine	irvine	PROPN
aiti-419	23	1	[	[	X
aiti-419	23	2	2	2	NUM
aiti-419	23	3	]	]	PUNCT
aiti-419	23	4	showed	show	VERB
aiti-419	23	5	the	the	DET
aiti-419	23	6	effectiveness	effectiveness	NOUN
aiti-419	23	7	of	of	ADP
aiti-419	23	8	ecg	ecg	PROPN
aiti-419	23	9	for	for	ADP
aiti-419	23	10	personal	personal	ADJ
aiti-419	23	11	identification	identification	NOUN
aiti-419	23	12	even	even	ADV
aiti-419	23	13	when	when	SCONJ
aiti-419	23	14	the	the	DET
aiti-419	23	15	heart	heart	NOUN
aiti-419	23	16	is	be	AUX
aiti-419	23	17	in	in	ADP
aiti-419	23	18	a	a	DET
aiti-419	23	19	stressed	stressed	ADJ
aiti-419	23	20	state	state	NOUN
aiti-419	23	21	(	(	PUNCT
aiti-419	23	22	excitement	excitement	NOUN
aiti-419	23	23	or	or	CCONJ
aiti-419	23	24	exercise	exercise	NOUN
aiti-419	23	25	)	)	PUNCT
aiti-419	23	26	.	.	PUNCT
aiti-419	24	1	in	in	ADP
aiti-419	24	2	addition	addition	NOUN
aiti-419	24	3	,	,	PUNCT
aiti-419	24	4	t.	t.	PROPN
aiti-419	24	5	w.	w.	PROPN
aiti-419	24	6	shen	shen	PROPN
aiti-419	25	1	[	[	X
aiti-419	25	2	3	3	NUM
aiti-419	25	3	]	]	PUNCT
aiti-419	25	4	,	,	PUNCT
aiti-419	25	5	steven	steven	PROPN
aiti-419	25	6	a.	a.	PROPN
aiti-419	25	7	israel	israel	PROPN
aiti-419	26	1	[	[	X
aiti-419	26	2	4	4	NUM
aiti-419	26	3	]	]	PUNCT
aiti-419	26	4	,	,	PUNCT
aiti-419	26	5	konstantinos	konstantinos	PROPN
aiti-419	26	6	n.	n.	PROPN
aiti-419	26	7	and	and	CCONJ
aiti-419	26	8	plataniotis[5	plataniotis[5	PROPN
aiti-419	26	9	]	]	PUNCT
aiti-419	26	10	introduced	introduce	VERB
aiti-419	26	11	personal	personal	ADJ
aiti-419	26	12	identification	identification	NOUN
aiti-419	26	13	algorithms	algorithm	NOUN
aiti-419	26	14	based	base	VERB
aiti-419	26	15	on	on	ADP
aiti-419	26	16	ecg	ecg	PROPN
aiti-419	26	17	.	.	PUNCT
aiti-419	27	1	the	the	DET
aiti-419	27	2	proposed	propose	VERB
aiti-419	27	3	algorithm	algorithm	NOUN
aiti-419	27	4	is	be	AUX
aiti-419	27	5	based	base	VERB
aiti-419	27	6	on	on	ADP
aiti-419	27	7	the	the	DET
aiti-419	27	8	detection	detection	NOUN
aiti-419	27	9	of	of	ADP
aiti-419	27	10	feature	feature	NOUN
aiti-419	27	11	points	point	NOUN
aiti-419	27	12	from	from	ADP
aiti-419	27	13	ecg	ecg	PROPN
aiti-419	27	14	and	and	CCONJ
aiti-419	27	15	ppg	ppg	PROPN
aiti-419	27	16	signals	signal	NOUN
aiti-419	27	17	obtained	obtain	VERB
aiti-419	27	18	simultaneously	simultaneously	ADV
aiti-419	27	19	,	,	PUNCT
aiti-419	27	20	and	and	CCONJ
aiti-419	27	21	a	a	DET
aiti-419	27	22	total	total	NOUN
aiti-419	27	23	of	of	ADP
aiti-419	27	24	21	21	NUM
aiti-419	27	25	features	feature	NOUN
aiti-419	27	26	are	be	AUX
aiti-419	27	27	automatically	automatically	ADV
aiti-419	27	28	ext	ext	NOUN
aiti-419	27	29	racted	racte	VERB
aiti-419	27	30	,	,	PUNCT
aiti-419	27	31	including	include	VERB
aiti-419	27	32	15	15	NUM
aiti-419	27	33	features	feature	NOUN
aiti-419	27	34	from	from	ADP
aiti-419	27	35	the	the	DET
aiti-419	27	36	ecg	ecg	PROPN
aiti-419	27	37	heartbeat	heartbeat	NOUN
aiti-419	27	38	signals	signal	NOUN
aiti-419	27	39	*	*	PUNCT
aiti-419	27	40	corresponding	correspond	VERB
aiti-419	27	41	author	author	NOUN
aiti-419	27	42	,	,	PUNCT
aiti-419	27	43	email	email	NOUN
aiti-419	27	44	:	:	PUNCT
aiti-419	27	45	mcp94lee@sunmoon.ac.kr	mcp94lee@sunmoon.ac.kr	X
aiti-419	27	46	advances	advance	NOUN
aiti-419	27	47	in	in	ADP
aiti-419	27	48	technology	technology	NOUN
aiti-419	27	49	innovation	innovation	NOUN
aiti-419	27	50	,	,	PUNCT
aiti-419	27	51	vol	vol	NOUN
aiti-419	27	52	.	.	PROPN
aiti-419	28	1	2	2	NUM
aiti-419	28	2	,	,	PUNCT
aiti-419	28	3	no	no	INTJ
aiti-419	28	4	.	.	NOUN
aiti-419	28	5	3	3	NUM
aiti-419	28	6	,	,	PUNCT
aiti-419	28	7	2016	2016	NUM
aiti-419	28	8	,	,	PUNCT
aiti-419	28	9	pp	pp	ADV
aiti-419	28	10	.	.	PUNCT
aiti-419	29	1	89	89	NUM
aiti-419	29	2	94	94	NUM
aiti-419	29	3	90	90	NUM
aiti-419	29	4	copyright	copyright	NOUN
aiti-419	29	5	©	©	PROPN
aiti-419	29	6	taeti	taeti	PROPN
aiti-419	29	7	separated	separate	VERB
aiti-419	29	8	from	from	ADP
aiti-419	29	9	the	the	DET
aiti-419	29	10	overall	overall	ADJ
aiti-419	29	11	ecg	ecg	PROPN
aiti-419	29	12	signal	signal	NOUN
aiti-419	29	13	,	,	PUNCT
aiti-419	29	14	and	and	CCONJ
aiti-419	29	15	6	6	NUM
aiti-419	29	16	features	feature	NOUN
aiti-419	29	17	from	from	ADP
aiti-419	29	18	ppg	ppg	PROPN
aiti-419	29	19	signal	signal	NOUN
aiti-419	29	20	,	,	PUNCT
aiti-419	29	21	in	in	ADP
aiti-419	29	22	order	order	NOUN
aiti-419	29	23	to	to	PART
aiti-419	29	24	promote	promote	VERB
aiti-419	29	25	the	the	DET
aiti-419	29	26	real	real	ADJ
aiti-419	29	27	-	-	PUNCT
aiti-419	29	28	t	t	NOUN
aiti-419	29	29	ime	ime	NOUN
aiti-419	29	30	operation	operation	NOUN
aiti-419	29	31	of	of	ADP
aiti-419	29	32	the	the	DET
aiti-419	29	33	recognition	recognition	NOUN
aiti-419	29	34	algorithm	algorithm	NOUN
aiti-419	29	35	.	.	PUNCT
aiti-419	30	1	the	the	DET
aiti-419	30	2	proposed	propose	VERB
aiti-419	30	3	algorithm	algorithm	NOUN
aiti-419	30	4	adopts	adopt	VERB
aiti-419	30	5	down	down	ADP
aiti-419	30	6	slope	slope	NOUN
aiti-419	30	7	trace	trace	NOUN
aiti-419	30	8	waveform	waveform	NOUN
aiti-419	30	9	(	(	PUNCT
aiti-419	30	10	dstw	dstw	NOUN
aiti-419	30	11	)	)	PUNCT
aiti-419	30	12	method	method	NOUN
aiti-419	31	1	[	[	X
aiti-419	31	2	6	6	NUM
aiti-419	31	3	]	]	PUNCT
aiti-419	31	4	,	,	PUNCT
aiti-419	31	5	which	which	PRON
aiti-419	31	6	shows	show	VERB
aiti-419	31	7	high	high	ADJ
aiti-419	31	8	peak	peak	NOUN
aiti-419	31	9	detection	detection	NOUN
aiti-419	31	10	rate	rate	NOUN
aiti-419	31	11	,	,	PUNCT
aiti-419	31	12	for	for	ADP
aiti-419	31	13	the	the	DET
aiti-419	31	14	detection	detection	NOUN
aiti-419	31	15	of	of	ADP
aiti-419	31	16	p	p	X
aiti-419	31	17	,	,	PUNCT
aiti-419	31	18	q	q	ADJ
aiti-419	31	19	,	,	PUNCT
aiti-419	31	20	r	r	NOUN
aiti-419	31	21	,	,	PUNCT
aiti-419	31	22	s	s	NOUN
aiti-419	31	23	,	,	PUNCT
aiti-419	31	24	and	and	CCONJ
aiti-419	31	25	t	t	NOUN
aiti-419	31	26	points	point	NOUN
aiti-419	31	27	of	of	ADP
aiti-419	31	28	the	the	DET
aiti-419	31	29	ecg	ecg	PROPN
aiti-419	31	30	signal	signal	NOUN
aiti-419	31	31	.	.	PUNCT
aiti-419	32	1	for	for	ADP
aiti-419	32	2	pattern	pattern	NOUN
aiti-419	32	3	recognition	recognition	NOUN
aiti-419	32	4	,	,	PUNCT
aiti-419	32	5	one	one	NUM
aiti-419	32	6	-	-	PUNCT
aiti-419	32	7	against	against	ADP
aiti-419	32	8	-	-	PUNCT
aiti-419	32	9	one	one	NUM
aiti-419	32	10	support	support	NOUN
aiti-419	32	11	vector	vector	NOUN
aiti-419	32	12	machine	machine	NOUN
aiti-419	32	13	(	(	PUNCT
aiti-419	32	14	svm	svm	ADJ
aiti-419	32	15	)	)	PUNCT
aiti-419	32	16	algorithm	algorithm	NOUN
aiti-419	32	17	was	be	AUX
aiti-419	32	18	used	use	VERB
aiti-419	32	19	,	,	PUNCT
aiti-419	32	20	which	which	PRON
aiti-419	32	21	shows	show	VERB
aiti-419	32	22	excellent	excellent	ADJ
aiti-419	32	23	recognition	recognition	NOUN
aiti-419	32	24	results	result	NOUN
aiti-419	32	25	in	in	ADP
aiti-419	32	26	various	various	ADJ
aiti-419	32	27	fields	field	NOUN
aiti-419	32	28	,	,	PUNCT
aiti-419	32	29	and	and	CCONJ
aiti-419	32	30	is	be	AUX
aiti-419	32	31	capable	capable	ADJ
aiti-419	32	32	of	of	ADP
aiti-419	32	33	multi	multi	ADJ
aiti-419	32	34	-	-	ADJ
aiti-419	32	35	class	class	ADJ
aiti-419	32	36	classification	classification	NOUN
aiti-419	32	37	.	.	PUNCT
aiti-419	33	1	2	2	X
aiti-419	33	2	.	.	X
aiti-419	33	3	method	method	PROPN
aiti-419	33	4	2.1	2.1	NUM
aiti-419	33	5	.	.	PUNCT
aiti-419	33	6	bio	bio	ADJ
aiti-419	33	7	-	-	PUNCT
aiti-419	33	8	signal	signal	ADJ
aiti-419	33	9	measurement	measurement	NOUN
aiti-419	33	10	system	system	NOUN
aiti-419	33	11	while	while	SCONJ
aiti-419	33	12	the	the	DET
aiti-419	33	13	previous	previous	ADJ
aiti-419	33	14	ecg	ecg	PROPN
aiti-419	33	15	recognition	recognition	NOUN
aiti-419	33	16	and	and	CCONJ
aiti-419	33	17	disease	disease	NOUN
aiti-419	33	18	detection	detection	NOUN
aiti-419	33	19	algorithms	algorithm	NOUN
aiti-419	33	20	can	can	AUX
aiti-419	33	21	be	be	AUX
aiti-419	33	22	assessed	assess	VERB
aiti-419	33	23	in	in	ADP
aiti-419	33	24	terms	term	NOUN
aiti-419	33	25	of	of	ADP
aiti-419	33	26	validity	validity	NOUN
aiti-419	33	27	by	by	ADP
aiti-419	33	28	using	use	VERB
aiti-419	33	29	existing	exist	VERB
aiti-419	33	30	public	public	ADJ
aiti-419	33	31	database	database	NOUN
aiti-419	33	32	files	file	NOUN
aiti-419	33	33	such	such	ADJ
aiti-419	33	34	as	as	ADP
aiti-419	33	35	mit	mit	PROPN
aiti-419	33	36	ecg	ecg	PROPN
aiti-419	33	37	database	database	NOUN
aiti-419	33	38	for	for	ADP
aiti-419	33	39	verification	verification	NOUN
aiti-419	33	40	,	,	PUNCT
aiti-419	33	41	there	there	PRON
aiti-419	33	42	is	be	VERB
aiti-419	33	43	no	no	DET
aiti-419	33	44	public	public	ADJ
aiti-419	33	45	database	database	NOUN
aiti-419	33	46	that	that	PRON
aiti-419	33	47	includes	include	VERB
aiti-419	33	48	a	a	DET
aiti-419	33	49	simultaneous	simultaneous	ADJ
aiti-419	33	50	measurement	measurement	NOUN
aiti-419	33	51	of	of	ADP
aiti-419	33	52	ppg	ppg	PROPN
aiti-419	33	53	s	s	PART
aiti-419	33	54	ignals	ignal	NOUN
aiti-419	33	55	linked	link	VERB
aiti-419	33	56	with	with	ADP
aiti-419	33	57	ecg	ecg	PROPN
aiti-419	33	58	signals	signal	NOUN
aiti-419	33	59	.	.	PUNCT
aiti-419	34	1	therefore	therefore	ADV
aiti-419	34	2	,	,	PUNCT
aiti-419	34	3	the	the	DET
aiti-419	34	4	hardware	hardware	NOUN
aiti-419	34	5	for	for	ADP
aiti-419	34	6	simultaneous	simultaneous	ADJ
aiti-419	34	7	measurement	measurement	NOUN
aiti-419	34	8	of	of	ADP
aiti-419	34	9	ecg	ecg	PROPN
aiti-419	34	10	and	and	CCONJ
aiti-419	34	11	ppg	ppg	PROPN
aiti-419	34	12	signals	signal	NOUN
aiti-419	34	13	was	be	AUX
aiti-419	34	14	manufactured	manufacture	VERB
aiti-419	34	15	for	for	ADP
aiti-419	34	16	the	the	DET
aiti-419	34	17	acquis	acquis	ADJ
aiti-419	34	18	ition	ition	NOUN
aiti-419	34	19	of	of	ADP
aiti-419	34	20	b	b	PROPN
aiti-419	34	21	io	io	NOUN
aiti-419	34	22	-	-	NOUN
aiti-419	34	23	signals	signal	NOUN
aiti-419	34	24	for	for	ADP
aiti-419	34	25	the	the	DET
aiti-419	34	26	recognition	recognition	NOUN
aiti-419	34	27	algorithm	algorithm	NOUN
aiti-419	34	28	in	in	ADP
aiti-419	34	29	this	this	DET
aiti-419	34	30	study	study	NOUN
aiti-419	34	31	.	.	PUNCT
aiti-419	35	1	fig	fig	NOUN
aiti-419	35	2	.	.	PUNCT
aiti-419	36	1	1	1	NUM
aiti-419	36	2	ecg	ecg	PROPN
aiti-419	36	3	and	and	CCONJ
aiti-419	36	4	ppg	ppg	PROPN
aiti-419	36	5	measurement	measurement	NOUN
aiti-419	36	6	system	system	NOUN
aiti-419	36	7	blockdiagram	blockdiagram	PROPN
aiti-419	36	8	fig	fig	NOUN
aiti-419	36	9	.	.	PUNCT
aiti-419	36	10	1	1	NUM
aiti-419	36	11	shows	show	VERB
aiti-419	36	12	the	the	DET
aiti-419	36	13	block	block	NOUN
aiti-419	36	14	diagram	diagram	NOUN
aiti-419	36	15	and	and	CCONJ
aiti-419	36	16	the	the	DET
aiti-419	36	17	photograph	photograph	NOUN
aiti-419	36	18	of	of	ADP
aiti-419	36	19	the	the	DET
aiti-419	36	20	manufactured	manufacture	VERB
aiti-419	36	21	ecg	ecg	PROPN
aiti-419	36	22	and	and	CCONJ
aiti-419	36	23	ppg	ppg	PROPN
aiti-419	36	24	measurement	measurement	NOUN
aiti-419	36	25	system	system	NOUN
aiti-419	36	26	hardware	hardware	NOUN
aiti-419	36	27	.	.	PUNCT
aiti-419	37	1	ecg	ecg	PROPN
aiti-419	37	2	was	be	AUX
aiti-419	37	3	measured	measure	VERB
aiti-419	37	4	in	in	ADP
aiti-419	37	5	three	three	NUM
aiti-419	37	6	channels	channel	NOUN
aiti-419	37	7	(	(	PUNCT
aiti-419	37	8	la	la	PROPN
aiti-419	37	9	-	-	PUNCT
aiti-419	37	10	ra	ra	PROPN
aiti-419	37	11	,	,	PUNCT
aiti-419	37	12	ll	ll	NOUN
aiti-419	37	13	-	-	PUNCT
aiti-419	37	14	la	la	NOUN
aiti-419	37	15	,	,	PUNCT
aiti-419	37	16	and	and	CCONJ
aiti-419	37	17	ra	ra	PROPN
aiti-419	37	18	-	-	PUNCT
aiti-419	37	19	ll	ll	NOUN
aiti-419	37	20	)	)	PUNCT
aiti-419	37	21	based	base	VERB
aiti-419	37	22	on	on	ADP
aiti-419	37	23	the	the	DET
aiti-419	37	24	willem	willem	NOUN
aiti-419	37	25	einthoven	einthoven	NOUN
aiti-419	37	26	triangle	triangle	NOUN
aiti-419	37	27	method	method	NOUN
aiti-419	37	28	.	.	PUNCT
aiti-419	38	1	moreover	moreover	ADV
aiti-419	38	2	,	,	PUNCT
aiti-419	38	3	low	low	ADJ
aiti-419	38	4	-	-	PUNCT
aiti-419	38	5	pass	pass	NOUN
aiti-419	38	6	filters	filter	NOUN
aiti-419	38	7	and	and	CCONJ
aiti-419	38	8	high	high	ADJ
aiti-419	38	9	-	-	PUNCT
aiti-419	38	10	pass	pass	NOUN
aiti-419	38	11	filters	filter	NOUN
aiti-419	38	12	with	with	ADP
aiti-419	38	13	cutoff	cutoff	NOUN
aiti-419	38	14	frequencies	frequency	NOUN
aiti-419	38	15	of	of	ADP
aiti-419	38	16	0.16hz	0.16hz	NOUN
aiti-419	38	17	and	and	CCONJ
aiti-419	38	18	160hz	160hz	NOUN
aiti-419	38	19	,	,	PUNCT
aiti-419	38	20	respectively	respectively	ADV
aiti-419	38	21	,	,	PUNCT
aiti-419	38	22	were	be	AUX
aiti-419	38	23	implemented	implement	VERB
aiti-419	38	24	in	in	ADP
aiti-419	38	25	hardware	hardware	NOUN
aiti-419	38	26	,	,	PUNCT
aiti-419	38	27	with	with	ADP
aiti-419	38	28	the	the	DET
aiti-419	38	29	total	total	ADJ
aiti-419	38	30	amplification	amplification	NOUN
aiti-419	38	31	gain	gain	NOUN
aiti-419	38	32	of	of	ADP
aiti-419	38	33	the	the	DET
aiti-419	38	34	ecg	ecg	PROPN
aiti-419	38	35	signal	signal	NOUN
aiti-419	38	36	being	be	AUX
aiti-419	38	37	1500	1500	NUM
aiti-419	38	38	,	,	PUNCT
aiti-419	38	39	as	as	SCONJ
aiti-419	38	40	shown	show	VERB
aiti-419	38	41	in	in	ADP
aiti-419	38	42	(	(	PUNCT
aiti-419	38	43	a	a	DET
aiti-419	38	44	-	-	PUNCT
aiti-419	38	45	b	b	NOUN
aiti-419	38	46	)	)	PUNCT
aiti-419	38	47	and	and	CCONJ
aiti-419	38	48	(	(	PUNCT
aiti-419	38	49	a	a	X
aiti-419	38	50	-	-	PUNCT
aiti-419	38	51	c	c	NOUN
aiti-419	38	52	)	)	PUNCT
aiti-419	38	53	of	of	ADP
aiti-419	38	54	fig	fig	NOUN
aiti-419	38	55	.	.	PUNCT
aiti-419	39	1	1	1	X
aiti-419	39	2	.	.	X
aiti-419	39	3	for	for	ADP
aiti-419	39	4	ppg	ppg	PROPN
aiti-419	39	5	measurement	measurement	NOUN
aiti-419	39	6	,	,	PUNCT
aiti-419	39	7	the	the	DET
aiti-419	39	8	output	output	NOUN
aiti-419	39	9	signal	signal	NOUN
aiti-419	39	10	from	from	ADP
aiti-419	39	11	the	the	DET
aiti-419	39	12	filter	filter	NOUN
aiti-419	39	13	and	and	CCONJ
aiti-419	39	14	the	the	DET
aiti-419	39	15	original	original	ADJ
aiti-419	39	16	signal	signal	NOUN
aiti-419	39	17	were	be	AUX
aiti-419	39	18	d	d	PRON
aiti-419	39	19	ifferentially	ifferentially	ADV
aiti-419	39	20	amplified	amplify	VERB
aiti-419	39	21	by	by	ADP
aiti-419	39	22	implementing	implement	VERB
aiti-419	39	23	a	a	DET
aiti-419	39	24	high	high	ADJ
aiti-419	39	25	-	-	PUNCT
aiti-419	39	26	pass	pass	NOUN
aiti-419	39	27	filter	filter	NOUN
aiti-419	39	28	with	with	ADP
aiti-419	39	29	cutoff	cutoff	NOUN
aiti-419	39	30	frequency	frequency	NOUN
aiti-419	39	31	of	of	ADP
aiti-419	39	32	0.1	0.1	NUM
aiti-419	39	33	hz	hz	VERB
aiti-419	39	34	in	in	ADP
aiti-419	39	35	o	o	PROPN
aiti-419	39	36	rder	rder	NOUN
aiti-419	39	37	to	to	PART
aiti-419	39	38	prevent	prevent	VERB
aiti-419	39	39	the	the	DET
aiti-419	39	40	saturation	saturation	NOUN
aiti-419	39	41	due	due	ADP
aiti-419	39	42	to	to	ADP
aiti-419	39	43	the	the	DET
aiti-419	39	44	dc	dc	PROPN
aiti-419	39	45	offset	offset	VERB
aiti-419	39	46	from	from	ADP
aiti-419	39	47	the	the	DET
aiti-419	39	48	light	light	ADJ
aiti-419	39	49	output	output	NOUN
aiti-419	39	50	during	during	ADP
aiti-419	39	51	amplification	amplification	NOUN
aiti-419	39	52	,	,	PUNCT
aiti-419	39	53	as	as	SCONJ
aiti-419	39	54	shown	show	VERB
aiti-419	39	55	in	in	ADP
aiti-419	39	56	the	the	DET
aiti-419	39	57	ppg	ppg	NOUN
aiti-419	39	58	measurement	measurement	NOUN
aiti-419	39	59	hardware	hardware	NOUN
aiti-419	39	60	in	in	ADP
aiti-419	39	61	fig	fig	NOUN
aiti-419	39	62	.	.	PUNCT
aiti-419	40	1	1	1	X
aiti-419	40	2	.	.	PUNCT
aiti-419	41	1	moreover	moreover	ADV
aiti-419	41	2	,	,	PUNCT
aiti-419	41	3	a	a	DET
aiti-419	41	4	band	band	NOUN
aiti-419	41	5	-	-	PUNCT
aiti-419	41	6	pass	pass	ADJ
aiti-419	41	7	filter	filter	NOUN
aiti-419	41	8	with	with	ADP
aiti-419	41	9	cutoff	cutoff	NOUN
aiti-419	41	10	frequencies	frequency	NOUN
aiti-419	41	11	of	of	ADP
aiti-419	41	12	0.1hz	0.1hz	NUM
aiti-419	41	13	and	and	CCONJ
aiti-419	41	14	8hz	8hz	ADJ
aiti-419	41	15	was	be	AUX
aiti-419	41	16	designed	design	VERB
aiti-419	41	17	and	and	CCONJ
aiti-419	41	18	implemented	implement	VERB
aiti-419	41	19	.	.	PUNCT
aiti-419	42	1	fig	fig	NOUN
aiti-419	42	2	.	.	PUNCT
aiti-419	43	1	2	2	NUM
aiti-419	43	2	shows	show	VERB
aiti-419	43	3	an	an	DET
aiti-419	43	4	actual	actual	ADJ
aiti-419	43	5	measured	measured	ADJ
aiti-419	43	6	signal	signal	NOUN
aiti-419	43	7	being	be	AUX
aiti-419	43	8	displayed	display	VERB
aiti-419	43	9	and	and	CCONJ
aiti-419	43	10	stored	store	VERB
aiti-419	43	11	on	on	ADP
aiti-419	43	12	pc	pc	NOUN
aiti-419	43	13	.	.	PUNCT
aiti-419	44	1	fig	fig	NOUN
aiti-419	44	2	.	.	PUNCT
aiti-419	45	1	2	2	NUM
aiti-419	45	2	measurement	measurement	NOUN
aiti-419	45	3	software	software	NOUN
aiti-419	45	4	2.2	2.2	NUM
aiti-419	45	5	.	.	PUNCT
aiti-419	46	1	peak	peak	NOUN
aiti-419	46	2	detection	detection	NOUN
aiti-419	46	3	from	from	ADP
aiti-419	46	4	ecg	ecg	PROPN
aiti-419	46	5	and	and	CCONJ
aiti-419	46	6	ppg	ppg	VERB
aiti-419	46	7	signals	signal	NOUN
aiti-419	46	8	through	through	ADP
aiti-419	46	9	dstw	dstw	NOUN
aiti-419	46	10	fig	fig	NOUN
aiti-419	46	11	.	.	PUNCT
aiti-419	47	1	3	3	NUM
aiti-419	47	2	dstw	dstw	NOUN
aiti-419	47	3	peak	peak	NOUN
aiti-419	47	4	detection	detection	NOUN
aiti-419	47	5	method[6	method[6	NOUN
aiti-419	47	6	]	]	X
aiti-419	47	7	peaks	peak	NOUN
aiti-419	47	8	are	be	AUX
aiti-419	47	9	detected	detect	VERB
aiti-419	47	10	from	from	ADP
aiti-419	47	11	the	the	DET
aiti-419	47	12	ecg	ecg	PROPN
aiti-419	47	13	signal	signal	NOUN
aiti-419	47	14	by	by	ADP
aiti-419	47	15	generating	generate	VERB
aiti-419	47	16	dstw	dstw	NOUN
aiti-419	47	17	,	,	PUNCT
aiti-419	47	18	as	as	SCONJ
aiti-419	47	19	shown	show	VERB
aiti-419	47	20	in	in	ADP
aiti-419	47	21	fig	fig	NOUN
aiti-419	47	22	.	.	PUNCT
aiti-419	48	1	3	3	NUM
aiti-419	48	2	,	,	PUNCT
aiti-419	48	3	in	in	ADP
aiti-419	48	4	order	order	NOUN
aiti-419	48	5	to	to	PART
aiti-419	48	6	firstly	firstly	ADV
aiti-419	48	7	detect	detect	VERB
aiti-419	48	8	the	the	DET
aiti-419	48	9	r	r	NOUN
aiti-419	48	10	peaks	peak	NOUN
aiti-419	48	11	in	in	ADP
aiti-419	48	12	ecg	ecg	PROPN
aiti-419	48	13	,	,	PUNCT
aiti-419	48	14	which	which	PRON
aiti-419	48	15	are	be	AUX
aiti-419	48	16	convenient	convenient	ADJ
aiti-419	48	17	to	to	PART
aiti-419	48	18	detect	detect	VERB
aiti-419	48	19	[	[	X
aiti-419	48	20	6	6	NUM
aiti-419	48	21	]	]	PUNCT
aiti-419	48	22	.	.	PUNCT
aiti-419	49	1	after	after	SCONJ
aiti-419	49	2	the	the	DET
aiti-419	49	3	r	r	NOUN
aiti-419	49	4	peak	peak	NOUN
aiti-419	49	5	is	be	AUX
aiti-419	49	6	detected	detect	VERB
aiti-419	49	7	as	as	SCONJ
aiti-419	49	8	shown	show	VERB
aiti-419	49	9	in	in	ADP
aiti-419	49	10	fig	fig	NOUN
aiti-419	49	11	.	.	PUNCT
aiti-419	50	1	4	4	NUM
aiti-419	50	2	,	,	PUNCT
aiti-419	50	3	q	q	NOUN
aiti-419	50	4	,	,	PUNCT
aiti-419	50	5	s	s	PROPN
aiti-419	50	6	,	,	PUNCT
aiti-419	50	7	p	p	X
aiti-419	50	8	,	,	PUNCT
aiti-419	50	9	t	t	PROPN
aiti-419	50	10	,	,	PUNCT
aiti-419	50	11	and	and	CCONJ
aiti-419	50	12	end	end	NOUN
aiti-419	50	13	of	of	ADP
aiti-419	50	14	t	t	PROPN
aiti-419	50	15	are	be	AUX
aiti-419	50	16	sequentially	sequentially	ADV
aiti-419	50	17	detected	detect	VERB
aiti-419	50	18	in	in	ADP
aiti-419	50	19	accordance	accordance	NOUN
aiti-419	50	20	with	with	ADP
aiti-419	50	21	a	a	DET
aiti-419	50	22	given	give	VERB
aiti-419	50	23	detection	detection	NOUN
aiti-419	50	24	rule	rule	NOUN
aiti-419	50	25	(	(	PUNCT
aiti-419	50	26	eqs	eqs	X
aiti-419	50	27	.	.	PROPN
aiti-419	50	28	15	15	NUM
aiti-419	50	29	)	)	PUNCT
aiti-419	50	30	.	.	PUNCT
aiti-419	51	1	fig	fig	NOUN
aiti-419	51	2	.	.	PUNCT
aiti-419	52	1	4	4	NUM
aiti-419	52	2	results	result	NOUN
aiti-419	52	3	from	from	ADP
aiti-419	52	4	the	the	DET
aiti-419	52	5	detection	detection	NOUN
aiti-419	52	6	of	of	ADP
aiti-419	52	7	fiducial	fiducial	ADJ
aiti-419	52	8	points	point	NOUN
aiti-419	52	9	from	from	ADP
aiti-419	52	10	ecg	ecg	PROPN
aiti-419	52	11	signal	signal	NOUN
aiti-419	52	12	(	(	PUNCT
aiti-419	52	13	p	p	X
aiti-419	52	14	,	,	PUNCT
aiti-419	52	15	q	q	ADJ
aiti-419	52	16	,	,	PUNCT
aiti-419	52	17	r	r	NOUN
aiti-419	52	18	,	,	PUNCT
aiti-419	52	19	s	s	PROPN
aiti-419	52	20	,	,	PUNCT
aiti-419	52	21	t	t	PROPN
aiti-419	52	22	,	,	PUNCT
aiti-419	52	23	te	te	PROPN
aiti-419	52	24	)	)	PUNCT
aiti-419	52	25	(	(	PUNCT
aiti-419	52	26	subject	subject	NOUN
aiti-419	52	27	4	4	NUM
aiti-419	52	28	)	)	PUNCT
aiti-419	52	29	advances	advance	NOUN
aiti-419	52	30	in	in	ADP
aiti-419	52	31	technology	technology	NOUN
aiti-419	52	32	innovation	innovation	NOUN
aiti-419	52	33	,	,	PUNCT
aiti-419	52	34	vol	vol	NOUN
aiti-419	52	35	.	.	PROPN
aiti-419	52	36	2	2	NUM
aiti-419	52	37	,	,	PUNCT
aiti-419	52	38	no	no	INTJ
aiti-419	52	39	.	.	NOUN
aiti-419	52	40	3	3	NUM
aiti-419	52	41	,	,	PUNCT
aiti-419	52	42	2016	2016	NUM
aiti-419	52	43	,	,	PUNCT
aiti-419	52	44	pp	pp	ADV
aiti-419	52	45	.	.	PUNCT
aiti-419	53	1	89	89	NUM
aiti-419	53	2	94	94	NUM
aiti-419	53	3	91	91	NUM
aiti-419	53	4	copyright	copyright	NOUN
aiti-419	53	5	©	©	PROPN
aiti-419	53	6	taeti	taeti	PROPN
aiti-419	53	7	fig	fig	NOUN
aiti-419	53	8	.	.	PUNCT
aiti-419	54	1	5	5	NUM
aiti-419	54	2	results	result	NOUN
aiti-419	54	3	from	from	ADP
aiti-419	54	4	the	the	DET
aiti-419	54	5	detection	detection	NOUN
aiti-419	54	6	of	of	ADP
aiti-419	54	7	ppg	ppg	ADJ
aiti-419	54	8	peaks	peak	NOUN
aiti-419	54	9	(	(	PUNCT
aiti-419	54	10	onset	onset	NOUN
aiti-419	54	11	,	,	PUNCT
aiti-419	54	12	peak	peak	NOUN
aiti-419	54	13	)	)	PUNCT
aiti-419	54	14	(	(	PUNCT
aiti-419	54	15	subject	subject	NOUN
aiti-419	54	16	4	4	NUM
aiti-419	54	17	)	)	PUNCT
aiti-419	54	18	the	the	DET
aiti-419	54	19	points	point	NOUN
aiti-419	54	20	to	to	PART
aiti-419	54	21	be	be	AUX
aiti-419	54	22	detected	detect	VERB
aiti-419	54	23	from	from	ADP
aiti-419	54	24	the	the	DET
aiti-419	54	25	ppg	ppg	NOUN
aiti-419	54	26	signal	signal	NOUN
aiti-419	54	27	were	be	AUX
aiti-419	54	28	selected	select	VERB
aiti-419	54	29	to	to	PART
aiti-419	54	30	be	be	AUX
aiti-419	54	31	the	the	DET
aiti-419	54	32	onset	onset	NOUN
aiti-419	54	33	points	point	NOUN
aiti-419	54	34	,	,	PUNCT
aiti-419	54	35	which	which	PRON
aiti-419	54	36	are	be	AUX
aiti-419	54	37	the	the	DET
aiti-419	54	38	initial	initial	ADJ
aiti-419	54	39	points	point	NOUN
aiti-419	54	40	,	,	PUNCT
aiti-419	54	41	and	and	CCONJ
aiti-419	54	42	ppg	ppg	PROPN
aiti-419	54	43	peaks	peak	NOUN
aiti-419	54	44	.	.	PUNCT
aiti-419	55	1	onset	onset	NOUN
aiti-419	55	2	peaks	peak	NOUN
aiti-419	55	3	are	be	AUX
aiti-419	55	4	used	use	VERB
aiti-419	55	5	to	to	PART
aiti-419	55	6	detect	detect	VERB
aiti-419	55	7	the	the	DET
aiti-419	55	8	fiducial	fiducial	ADJ
aiti-419	55	9	points	point	NOUN
aiti-419	55	10	in	in	ADP
aiti-419	55	11	accordance	accordance	NOUN
aiti-419	55	12	with	with	ADP
aiti-419	55	13	g	g	PROPN
aiti-419	55	14	iven	iven	PROPN
aiti-419	55	15	ru	ru	PROPN
aiti-419	55	16	les	les	X
aiti-419	55	17	(	(	PUNCT
aiti-419	55	18	eq	eq	NOUN
aiti-419	55	19	.	.	PROPN
aiti-419	55	20	6	6	NUM
aiti-419	55	21	)	)	PUNCT
aiti-419	55	22	,	,	PUNCT
aiti-419	55	23	after	after	SCONJ
aiti-419	55	24	the	the	DET
aiti-419	55	25	ppg	ppg	NOUN
aiti-419	55	26	peak	peak	NOUN
aiti-419	55	27	has	have	AUX
aiti-419	55	28	been	be	AUX
aiti-419	55	29	detected	detect	VERB
aiti-419	55	30	as	as	SCONJ
aiti-419	55	31	shown	show	VERB
aiti-419	55	32	in	in	ADP
aiti-419	55	33	fig	fig	NOUN
aiti-419	55	34	.	.	PUNCT
aiti-419	56	1	5	5	X
aiti-419	56	2	.	.	X
aiti-419	56	3			NOUN
aiti-419	56	4			PROPN
aiti-419	56	5			PROPN
aiti-419	56	6	q	q	PROPN
aiti-419	56	7	k	k	PROPN
aiti-419	56	8	index	index	PROPN
aiti-419	56	9	(	(	PUNCT
aiti-419	56	10	[	[	PUNCT
aiti-419	56	11	]	]	X
aiti-419	56	12	)	)	PUNCT
aiti-419	56	13	,	,	PUNCT
aiti-419	56	14	min	min	PROPN
aiti-419	56	15	arg	arg	NOUN
aiti-419	56	16	x	x	PUNCT
aiti-419	56	17	n	n	PROPN
aiti-419	56	18	for	for	PROPN
aiti-419	56	19			NOUN
aiti-419	56	20	r	r	X
aiti-419	56	21	k	k	PROPN
aiti-419	56	22	30	30	NUM
aiti-419	56	23	n	n	NOUN
aiti-419	56	24	r(k)	r(k)	NUM
aiti-419	56	25			NOUN
aiti-419	56	26			NOUN
aiti-419	56	27	(	(	PUNCT
aiti-419	56	28	1	1	NUM
aiti-419	56	29	)	)	PUNCT
aiti-419	56	30			NOUN
aiti-419	56	31			PUNCT
aiti-419	56	32			PROPN
aiti-419	56	33	s	s	PROPN
aiti-419	56	34	k	k	PROPN
aiti-419	56	35	index	index	PROPN
aiti-419	56	36	(	(	PUNCT
aiti-419	56	37	[	[	PUNCT
aiti-419	56	38	]	]	X
aiti-419	56	39	)	)	PUNCT
aiti-419	56	40	,	,	PUNCT
aiti-419	56	41	min	min	PROPN
aiti-419	56	42	arg	arg	NOUN
aiti-419	56	43	x	x	PUNCT
aiti-419	56	44	n	n	PROPN
aiti-419	56	45	for	for	PROPN
aiti-419	56	46			NOUN
aiti-419	56	47			SYM
aiti-419	56	48			NOUN
aiti-419	56	49	r	r	X
aiti-419	56	50	k	k	PROPN
aiti-419	57	1	n	n	CCONJ
aiti-419	57	2	r	r	NOUN
aiti-419	57	3	k	k	PROPN
aiti-419	57	4	30	30	PROPN
aiti-419	57	5			NOUN
aiti-419	57	6			PUNCT
aiti-419	57	7	(	(	PUNCT
aiti-419	57	8	2	2	X
aiti-419	57	9	)	)	PUNCT
aiti-419	57	10			NOUN
aiti-419	57	11			SYM
aiti-419	57	12			NOUN
aiti-419	58	1			PUNCT
aiti-419	58	2	p	p	PROPN
aiti-419	58	3	k	k	PROPN
aiti-419	58	4	index	index	PROPN
aiti-419	58	5	(	(	PUNCT
aiti-419	58	6	)	)	PUNCT
aiti-419	58	7	,	,	PUNCT
aiti-419	58	8	max	max	PROPN
aiti-419	58	9	arg	arg	NOUN
aiti-419	58	10	x	x	PUNCT
aiti-419	58	11	n	n	PROPN
aiti-419	58	12	for	for	PROPN
aiti-419	58	13			PROPN
aiti-419	58	14	q	q	PUNCT
aiti-419	59	1	k	k	NOUN
aiti-419	59	2	60	60	NUM
aiti-419	59	3	n	n	NOUN
aiti-419	59	4	q(k)	q(k)	NUM
aiti-419	59	5			NOUN
aiti-419	59	6			NOUN
aiti-419	59	7	(	(	PUNCT
aiti-419	59	8	3	3	NUM
aiti-419	59	9	)	)	PUNCT
aiti-419	59	10			NOUN
aiti-419	59	11			SYM
aiti-419	59	12			NOUN
aiti-419	59	13			X
aiti-419	59	14	t	t	PROPN
aiti-419	59	15	k	k	PROPN
aiti-419	59	16	index	index	PROPN
aiti-419	59	17	(	(	PUNCT
aiti-419	59	18	)	)	PUNCT
aiti-419	59	19	,	,	PUNCT
aiti-419	59	20	max	max	PROPN
aiti-419	59	21	arg	arg	NOUN
aiti-419	59	22	x	x	PUNCT
aiti-419	59	23	n	n	PROPN
aiti-419	59	24	for	for	PROPN
aiti-419	59	25			NOUN
aiti-419	59	26			SYM
aiti-419	59	27			NOUN
aiti-419	60	1	s	s	PROPN
aiti-419	61	1	k	k	PROPN
aiti-419	61	2	n	n	PROPN
aiti-419	61	3	s	s	PROPN
aiti-419	61	4	k	k	PROPN
aiti-419	61	5	100	100	PROPN
aiti-419	61	6			NOUN
aiti-419	61	7			PUNCT
aiti-419	61	8	(	(	PUNCT
aiti-419	61	9	4	4	X
aiti-419	61	10	)	)	PUNCT
aiti-419	61	11			NOUN
aiti-419	61	12			SYM
aiti-419	61	13			NOUN
aiti-419	61	14			X
aiti-419	62	1	k	k	PROPN
aiti-419	62	2	index	index	NOUN
aiti-419	62	3	(	(	PUNCT
aiti-419	62	4	)	)	PUNCT
aiti-419	62	5	,	,	PUNCT
aiti-419	62	6	end	end	VERB
aiti-419	62	7	min	min	PROPN
aiti-419	62	8	t	t	PROPN
aiti-419	62	9	arg	arg	NOUN
aiti-419	62	10	x	x	PUNCT
aiti-419	62	11	n	n	PROPN
aiti-419	62	12	for	for	PROPN
aiti-419	62	13			NOUN
aiti-419	62	14			SYM
aiti-419	62	15			NOUN
aiti-419	62	16	t	t	PUNCT
aiti-419	62	17	k	k	PROPN
aiti-419	62	18	n	n	PROPN
aiti-419	62	19	t	t	NOUN
aiti-419	62	20	k	k	PROPN
aiti-419	62	21	50	50	PROPN
aiti-419	62	22			NOUN
aiti-419	62	23			PUNCT
aiti-419	62	24	(	(	PUNCT
aiti-419	62	25	5	5	X
aiti-419	62	26	)	)	PUNCT
aiti-419	62	27			NOUN
aiti-419	62	28			SYM
aiti-419	62	29			NOUN
aiti-419	63	1			NOUN
aiti-419	63	2	onset	onset	PROPN
aiti-419	63	3	k	k	PROPN
aiti-419	63	4	index	index	PROPN
aiti-419	63	5	(	(	PUNCT
aiti-419	63	6	)	)	PUNCT
aiti-419	63	7	,	,	PUNCT
aiti-419	63	8	min	min	PROPN
aiti-419	63	9	arg	arg	NOUN
aiti-419	63	10	p	p	PROPN
aiti-419	63	11	n	n	PROPN
aiti-419	63	12	for	for	PROPN
aiti-419	63	13			NOUN
aiti-419	63	14			SYM
aiti-419	63	15			NOUN
aiti-419	63	16	k	k	NUM
aiti-419	63	17	100	100	NUM
aiti-419	63	18	n	n	NUM
aiti-419	63	19	k	k	PROPN
aiti-419	63	20	peak	peak	NOUN
aiti-419	63	21	peak	peak	PROPN
aiti-419	63	22	ppg	ppg	PROPN
aiti-419	63	23	ppg	ppg	PROPN
aiti-419	63	24			PROPN
aiti-419	63	25			NOUN
aiti-419	63	26	(	(	PUNCT
aiti-419	63	27	6	6	NUM
aiti-419	63	28	)	)	PUNCT
aiti-419	63	29	where	where	SCONJ
aiti-419	63	30	k	k	PROPN
aiti-419	63	31	denotes	denote	VERB
aiti-419	63	32	the	the	DET
aiti-419	63	33	indices	index	NOUN
aiti-419	63	34	of	of	ADP
aiti-419	63	35	each	each	DET
aiti-419	63	36	peak	peak	NOUN
aiti-419	63	37	from	from	ADP
aiti-419	63	38	one	one	NUM
aiti-419	63	39	to	to	ADP
aiti-419	63	40	m	m	PROPN
aiti-419	63	41	(	(	PUNCT
aiti-419	63	42	1≤k≤m	1≤k≤m	NUM
aiti-419	63	43	)	)	PUNCT
aiti-419	63	44	,	,	PUNCT
aiti-419	63	45	and	and	CCONJ
aiti-419	63	46	n	n	PRON
aiti-419	63	47	denotes	denote	VERB
aiti-419	63	48	the	the	DET
aiti-419	63	49	indices	index	NOUN
aiti-419	63	50	of	of	ADP
aiti-419	63	51	the	the	DET
aiti-419	63	52	sampled	sample	VERB
aiti-419	63	53	data	datum	NOUN
aiti-419	63	54	for	for	ADP
aiti-419	63	55	x(n	x(n	NOUN
aiti-419	63	56	)	)	PUNCT
aiti-419	63	57	and	and	CCONJ
aiti-419	63	58	p(n	p(n	PROPN
aiti-419	63	59	)	)	PUNCT
aiti-419	63	60	.	.	PUNCT
aiti-419	64	1	the	the	DET
aiti-419	64	2	actual	actual	ADJ
aiti-419	64	3	data	datum	NOUN
aiti-419	64	4	were	be	AUX
aiti-419	64	5	sampled	sample	VERB
aiti-419	64	6	at	at	ADP
aiti-419	64	7	250	250	NUM
aiti-419	64	8	hz	hz	NOUN
aiti-419	64	9	,	,	PUNCT
aiti-419	64	10	and	and	CCONJ
aiti-419	64	11	n=1	n=1	PROPN
aiti-419	64	12	implies	imply	VERB
aiti-419	64	13	4	4	NUM
aiti-419	64	14	ms	ms	PROPN
aiti-419	64	15	〖	〖	PROPN
aiti-419	64	16	(	(	PUNCT
aiti-419	64	17	t〗	t〗	PROPN
aiti-419	64	18	_	_	PUNCT
aiti-419	64	19	s=1	s=1	X
aiti-419	64	20	/	/	SYM
aiti-419	64	21	f_s	f_s	SYM
aiti-419	64	22	)	)	PUNCT
aiti-419	64	23	2.3	2.3	NUM
aiti-419	64	24	.	.	PUNCT
aiti-419	65	1	feature	feature	NOUN
aiti-419	65	2	extraction	extraction	NOUN
aiti-419	65	3	as	as	SCONJ
aiti-419	65	4	shown	show	VERB
aiti-419	65	5	in	in	ADP
aiti-419	65	6	fig	fig	NOUN
aiti-419	65	7	.	.	PUNCT
aiti-419	66	1	6	6	NUM
aiti-419	66	2	,	,	PUNCT
aiti-419	66	3	the	the	DET
aiti-419	66	4	features	feature	NOUN
aiti-419	66	5	for	for	ADP
aiti-419	66	6	b	b	PROPN
aiti-419	66	7	iometric	iometric	NOUN
aiti-419	66	8	recognition	recognition	NOUN
aiti-419	66	9	can	can	AUX
aiti-419	66	10	be	be	AUX
aiti-419	66	11	extracted	extract	VERB
aiti-419	66	12	by	by	ADP
aiti-419	66	13	detecting	detect	VERB
aiti-419	66	14	the	the	DET
aiti-419	66	15	six	six	NUM
aiti-419	66	16	types	type	NOUN
aiti-419	66	17	of	of	ADP
aiti-419	66	18	ecg	ecg	PROPN
aiti-419	66	19	peaks	peak	NOUN
aiti-419	66	20	and	and	CCONJ
aiti-419	66	21	the	the	DET
aiti-419	66	22	two	two	NUM
aiti-419	66	23	types	type	NOUN
aiti-419	66	24	of	of	ADP
aiti-419	66	25	ppg	ppg	ADJ
aiti-419	66	26	peaks	peak	NOUN
aiti-419	66	27	.	.	PUNCT
aiti-419	67	1	for	for	ADP
aiti-419	67	2	this	this	DET
aiti-419	67	3	algorithm	algorithm	NOUN
aiti-419	67	4	,	,	PUNCT
aiti-419	67	5	a	a	DET
aiti-419	67	6	total	total	NOUN
aiti-419	67	7	of	of	ADP
aiti-419	67	8	21	21	NUM
aiti-419	67	9	features	feature	NOUN
aiti-419	67	10	were	be	AUX
aiti-419	67	11	established	establish	VERB
aiti-419	67	12	by	by	ADP
aiti-419	67	13	extracting	extract	VERB
aiti-419	67	14	15	15	NUM
aiti-419	67	15	types	type	NOUN
aiti-419	67	16	of	of	ADP
aiti-419	67	17	ecg	ecg	PROPN
aiti-419	67	18	features	feature	NOUN
aiti-419	67	19	,	,	PUNCT
aiti-419	67	20	3	3	NUM
aiti-419	67	21	types	type	NOUN
aiti-419	67	22	of	of	ADP
aiti-419	67	23	ppg	ppg	NOUN
aiti-419	67	24	features	feature	NOUN
aiti-419	67	25	,	,	PUNCT
aiti-419	67	26	and	and	CCONJ
aiti-419	67	27	3	3	NUM
aiti-419	67	28	types	type	NOUN
aiti-419	67	29	of	of	ADP
aiti-419	67	30	features	feature	NOUN
aiti-419	67	31	relating	relate	VERB
aiti-419	67	32	to	to	ADP
aiti-419	67	33	both	both	DET
aiti-419	67	34	ecg	ecg	PROPN
aiti-419	67	35	and	and	CCONJ
aiti-419	67	36	ppg	ppg	NOUN
aiti-419	67	37	.	.	PUNCT
aiti-419	68	1	2.4	2.4	NUM
aiti-419	68	2	.	.	PUNCT
aiti-419	69	1	support	support	NOUN
aiti-419	69	2	vector	vector	NOUN
aiti-419	69	3	machine	machine	NOUN
aiti-419	69	4	for	for	ADP
aiti-419	69	5	classification	classification	NOUN
aiti-419	69	6	svm	svm	NOUN
aiti-419	69	7	is	be	AUX
aiti-419	69	8	a	a	DET
aiti-419	69	9	new	new	ADJ
aiti-419	69	10	genre	genre	NOUN
aiti-419	69	11	of	of	ADP
aiti-419	69	12	learning	learn	VERB
aiti-419	69	13	systems	system	NOUN
aiti-419	69	14	for	for	ADP
aiti-419	69	15	pattern	pattern	NOUN
aiti-419	69	16	recognition	recognition	NOUN
aiti-419	69	17	,	,	PUNCT
aiti-419	69	18	devised	devise	VERB
aiti-419	69	19	by	by	ADP
aiti-419	69	20	corters	corter	NOUN
aiti-419	69	21	and	and	CCONJ
aiti-419	69	22	vapnik	vapnik	X
aiti-419	70	1	[	[	X
aiti-419	70	2	7	7	NUM
aiti-419	70	3	]	]	PUNCT
aiti-419	70	4	.	.	PUNCT
aiti-419	71	1	while	while	SCONJ
aiti-419	71	2	svm	svm	PROPN
aiti-419	71	3	did	do	AUX
aiti-419	71	4	not	not	PART
aiti-419	71	5	receive	receive	VERB
aiti-419	71	6	much	much	ADJ
aiti-419	71	7	attention	attention	NOUN
aiti-419	71	8	initially	initially	ADV
aiti-419	71	9	,	,	PUNCT
aiti-419	71	10	it	it	PRON
aiti-419	71	11	is	be	AUX
aiti-419	71	12	recently	recently	ADV
aiti-419	71	13	being	be	AUX
aiti-419	71	14	used	use	VERB
aiti-419	71	15	in	in	ADP
aiti-419	71	16	various	various	ADJ
aiti-419	71	17	fields	field	NOUN
aiti-419	71	18	including	include	VERB
aiti-419	71	19	bio	bio	PROPN
aiti-419	71	20	informatics	informatics	PROPN
aiti-419	71	21	,	,	PUNCT
aiti-419	71	22	character	character	NOUN
aiti-419	71	23	recognition	recognition	NOUN
aiti-419	71	24	,	,	PUNCT
aiti-419	71	25	handwriting	handwriting	NOUN
aiti-419	71	26	recognition	recognition	NOUN
aiti-419	71	27	,	,	PUNCT
aiti-419	71	28	facial	facial	ADJ
aiti-419	71	29	recognition	recognition	NOUN
aiti-419	71	30	,	,	PUNCT
aiti-419	71	31	and	and	CCONJ
aiti-419	71	32	object	object	VERB
aiti-419	71	33	recognition	recognition	NOUN
aiti-419	71	34	,	,	PUNCT
aiti-419	71	35	and	and	CCONJ
aiti-419	71	36	is	be	AUX
aiti-419	71	37	widely	widely	ADV
aiti-419	71	38	used	use	VERB
aiti-419	71	39	for	for	ADP
aiti-419	71	40	supervised	supervised	ADJ
aiti-419	71	41	pattern	pattern	NOUN
aiti-419	71	42	recognition	recognition	NOUN
aiti-419	71	43	owing	owe	VERB
aiti-419	71	44	to	to	ADP
aiti-419	71	45	its	its	PRON
aiti-419	71	46	excellent	excellent	ADJ
aiti-419	71	47	performance	performance	NOUN
aiti-419	71	48	.	.	PUNCT
aiti-419	72	1	fig	fig	NOUN
aiti-419	72	2	.	.	PUNCT
aiti-419	73	1	6	6	NUM
aiti-419	73	2	extraction	extraction	NOUN
aiti-419	73	3	of	of	ADP
aiti-419	73	4	21	21	NUM
aiti-419	73	5	features	feature	NOUN
aiti-419	73	6	from	from	ADP
aiti-419	73	7	ecg	ecg	PROPN
aiti-419	73	8	and	and	CCONJ
aiti-419	73	9	ppg	ppg	NOUN
aiti-419	73	10	peak	peak	NOUN
aiti-419	73	11	detection	detection	NOUN
aiti-419	73	12	the	the	DET
aiti-419	73	13	train	train	NOUN
aiti-419	73	14	ing	ing	NOUN
aiti-419	73	15	and	and	CCONJ
aiti-419	73	16	classificat	classificat	NOUN
aiti-419	73	17	ion	ion	NOUN
aiti-419	73	18	algorithm	algorithm	NOUN
aiti-419	73	19	for	for	ADP
aiti-419	73	20	the	the	DET
aiti-419	73	21	proposed	propose	VERB
aiti-419	73	22	algorithm	algorithm	NOUN
aiti-419	73	23	was	be	AUX
aiti-419	73	24	based	base	VERB
aiti-419	73	25	on	on	ADP
aiti-419	73	26	one	one	NUM
aiti-419	73	27	-	-	PUNCT
aiti-419	73	28	against	against	ADP
aiti-419	73	29	-	-	PUNCT
aiti-419	73	30	one	one	NUM
aiti-419	73	31	multi	multi	ADJ
aiti-419	73	32	-	-	ADJ
aiti-419	73	33	class	class	ADJ
aiti-419	73	34	svm	svm	ADJ
aiti-419	73	35	algorithm	algorithm	NOUN
aiti-419	73	36	,	,	PUNCT
aiti-419	73	37	which	which	PRON
aiti-419	73	38	is	be	AUX
aiti-419	73	39	not	not	PART
aiti-419	73	40	affected	affect	VERB
aiti-419	73	41	by	by	ADP
aiti-419	73	42	the	the	DET
aiti-419	73	43	curse	curse	NOUN
aiti-419	73	44	of	of	ADP
aiti-419	73	45	dimensionality	dimensionality	NOUN
aiti-419	73	46	.	.	PUNCT
aiti-419	74	1	160	160	NUM
aiti-419	74	2	peaks	peak	NOUN
aiti-419	74	3	were	be	AUX
aiti-419	74	4	detected	detect	VERB
aiti-419	74	5	(	(	PUNCT
aiti-419	74	6	p	p	X
aiti-419	74	7	,	,	PUNCT
aiti-419	74	8	q	q	ADJ
aiti-419	74	9	,	,	PUNCT
aiti-419	74	10	r	r	NOUN
aiti-419	74	11	,	,	PUNCT
aiti-419	74	12	s	s	PROPN
aiti-419	74	13	,	,	PUNCT
aiti-419	74	14	t	t	PROPN
aiti-419	74	15	,	,	PUNCT
aiti-419	74	16	and	and	CCONJ
aiti-419	74	17	tend	tend	VERB
aiti-419	74	18	)	)	PUNCT
aiti-419	74	19	from	from	ADP
aiti-419	74	20	the	the	DET
aiti-419	74	21	ecg	ecg	PROPN
aiti-419	74	22	signals	signal	NOUN
aiti-419	74	23	simultaneously	simultaneously	ADV
aiti-419	74	24	acquired	acquire	VERB
aiti-419	74	25	from	from	ADP
aiti-419	74	26	each	each	PRON
aiti-419	74	27	of	of	ADP
aiti-419	74	28	the	the	DET
aiti-419	74	29	33	33	NUM
aiti-419	74	30	test	test	NOUN
aiti-419	74	31	subjects	subject	NOUN
aiti-419	74	32	,	,	PUNCT
aiti-419	74	33	and	and	CCONJ
aiti-419	74	34	,	,	PUNCT
aiti-419	74	35	likewise	likewise	ADV
aiti-419	74	36	,	,	PUNCT
aiti-419	74	37	160	160	NUM
aiti-419	74	38	peaks	peak	NOUN
aiti-419	74	39	(	(	PUNCT
aiti-419	74	40	onset	onset	NOUN
aiti-419	74	41	,	,	PUNCT
aiti-419	74	42	and	and	CCONJ
aiti-419	74	43	ppgpeak	ppgpeak	NOUN
aiti-419	74	44	)	)	PUNCT
aiti-419	74	45	were	be	AUX
aiti-419	74	46	detected	detect	VERB
aiti-419	74	47	from	from	ADP
aiti-419	74	48	the	the	DET
aiti-419	74	49	ppg	ppg	NOUN
aiti-419	74	50	signals	signal	NOUN
aiti-419	74	51	,	,	PUNCT
aiti-419	74	52	forming	form	VERB
aiti-419	74	53	a	a	DET
aiti-419	74	54	set	set	NOUN
aiti-419	74	55	of	of	ADP
aiti-419	74	56	21	21	NUM
aiti-419	74	57	features	feature	NOUN
aiti-419	74	58	for	for	ADP
aiti-419	74	59	each	each	DET
aiti-419	74	60	peak	peak	NOUN
aiti-419	74	61	.	.	PUNCT
aiti-419	75	1	from	from	ADP
aiti-419	75	2	each	each	PRON
aiti-419	75	3	of	of	ADP
aiti-419	75	4	the	the	DET
aiti-419	75	5	34	34	NUM
aiti-419	75	6	dataset	dataset	NOUN
aiti-419	75	7	files	file	NOUN
aiti-419	75	8	,	,	PUNCT
aiti-419	75	9	the	the	DET
aiti-419	75	10	first	first	ADJ
aiti-419	75	11	(	(	PUNCT
aiti-419	75	12	10	10	NUM
aiti-419	75	13	-	-	SYM
aiti-419	75	14	80	80	NUM
aiti-419	75	15	)	)	PUNCT
aiti-419	75	16	features	feature	NOUN
aiti-419	75	17	were	be	AUX
aiti-419	75	18	used	use	VERB
aiti-419	75	19	as	as	ADP
aiti-419	75	20	the	the	DET
aiti-419	75	21	training	training	NOUN
aiti-419	75	22	data	datum	NOUN
aiti-419	75	23	,	,	PUNCT
aiti-419	75	24	and	and	CCONJ
aiti-419	75	25	the	the	DET
aiti-419	75	26	other	other	ADJ
aiti-419	75	27	(	(	PUNCT
aiti-419	75	28	140	140	NUM
aiti-419	75	29	–	–	SYM
aiti-419	75	30	80	80	NUM
aiti-419	75	31	)	)	PUNCT
aiti-419	75	32	features	feature	NOUN
aiti-419	75	33	were	be	AUX
aiti-419	75	34	used	use	VERB
aiti-419	75	35	as	as	ADP
aiti-419	75	36	the	the	DET
aiti-419	75	37	testing	testing	NOUN
aiti-419	75	38	data	datum	NOUN
aiti-419	75	39	.	.	PUNCT
aiti-419	76	1	moreover	moreover	ADV
aiti-419	76	2	,	,	PUNCT
aiti-419	76	3	we	we	PRON
aiti-419	76	4	examined	examine	VERB
aiti-419	76	5	the	the	DET
aiti-419	76	6	difference	difference	NOUN
aiti-419	76	7	in	in	ADP
aiti-419	76	8	recognition	recognition	NOUN
aiti-419	76	9	rate	rate	NOUN
aiti-419	76	10	between	between	ADP
aiti-419	76	11	the	the	DET
aiti-419	76	12	case	case	NOUN
aiti-419	76	13	where	where	SCONJ
aiti-419	76	14	only	only	ADV
aiti-419	76	15	ecg	ecg	PROPN
aiti-419	76	16	features	feature	NOUN
aiti-419	76	17	are	be	AUX
aiti-419	76	18	considered	consider	VERB
aiti-419	76	19	,	,	PUNCT
aiti-419	76	20	and	and	CCONJ
aiti-419	76	21	the	the	DET
aiti-419	76	22	case	case	NOUN
aiti-419	76	23	where	where	SCONJ
aiti-419	76	24	both	both	CCONJ
aiti-419	76	25	ecg	ecg	PROPN
aiti-419	76	26	and	and	CCONJ
aiti-419	76	27	ppg	ppg	PROPN
aiti-419	76	28	features	feature	NOUN
aiti-419	76	29	are	be	AUX
aiti-419	76	30	considered	consider	VERB
aiti-419	76	31	.	.	PUNCT
aiti-419	77	1	3	3	X
aiti-419	77	2	.	.	NOUN
aiti-419	77	3	results	result	NOUN
aiti-419	77	4	and	and	CCONJ
aiti-419	77	5	discussion	discussion	NOUN
aiti-419	77	6	3.1	3.1	NUM
aiti-419	77	7	.	.	PUNCT
aiti-419	78	1	testing	testing	NOUN
aiti-419	78	2	method	method	NOUN
aiti-419	78	3	for	for	ADP
aiti-419	78	4	the	the	DET
aiti-419	78	5	experiment	experiment	NOUN
aiti-419	78	6	,	,	PUNCT
aiti-419	78	7	the	the	DET
aiti-419	78	8	testing	testing	NOUN
aiti-419	78	9	data	datum	NOUN
aiti-419	78	10	were	be	AUX
aiti-419	78	11	not	not	PART
aiti-419	78	12	provided	provide	VERB
aiti-419	78	13	with	with	ADP
aiti-419	78	14	any	any	DET
aiti-419	78	15	informat	informat	ADJ
aiti-419	78	16	ion	ion	NOUN
aiti-419	78	17	for	for	ADP
aiti-419	78	18	recognition	recognition	NOUN
aiti-419	78	19	,	,	PUNCT
aiti-419	78	20	and	and	CCONJ
aiti-419	78	21	the	the	DET
aiti-419	78	22	average	average	ADJ
aiti-419	78	23	and	and	CCONJ
aiti-419	78	24	standard	standard	ADJ
aiti-419	78	25	deviation	deviation	NOUN
aiti-419	78	26	of	of	ADP
aiti-419	78	27	the	the	DET
aiti-419	78	28	performance	performance	NOUN
aiti-419	78	29	evaluation	evaluation	NOUN
aiti-419	78	30	elements	element	NOUN
aiti-419	78	31	were	be	AUX
aiti-419	78	32	investigated	investigate	VERB
aiti-419	78	33	,	,	PUNCT
aiti-419	78	34	such	such	ADJ
aiti-419	78	35	as	as	ADP
aiti-419	78	36	accuracy	accuracy	NOUN
aiti-419	78	37	,	,	PUNCT
aiti-419	78	38	sensitivity	sensitivity	NOUN
aiti-419	78	39	,	,	PUNCT
aiti-419	78	40	specificity	specificity	NOUN
aiti-419	78	41	,	,	PUNCT
aiti-419	78	42	false	false	ADJ
aiti-419	78	43	reject	reject	NOUN
aiti-419	78	44	ion	ion	NOUN
aiti-419	78	45	rate	rate	NOUN
aiti-419	78	46	(	(	PUNCT
aiti-419	78	47	frr	frr	PROPN
aiti-419	78	48	)	)	PUNCT
aiti-419	78	49	,	,	PUNCT
aiti-419	78	50	and	and	CCONJ
aiti-419	78	51	false	false	ADJ
aiti-419	78	52	acceptance	acceptance	NOUN
aiti-419	78	53	rate	rate	NOUN
aiti-419	78	54	(	(	PUNCT
aiti-419	78	55	far	far	ADV
aiti-419	78	56	)	)	PUNCT
aiti-419	78	57	of	of	ADP
aiti-419	78	58	the	the	DET
aiti-419	78	59	result	result	NOUN
aiti-419	78	60	with	with	ADP
aiti-419	78	61	varying	vary	VERB
aiti-419	78	62	number	number	NOUN
aiti-419	78	63	of	of	ADP
aiti-419	78	64	training	training	NOUN
aiti-419	78	65	data	datum	NOUN
aiti-419	78	66	points	point	NOUN
aiti-419	78	67	.	.	PUNCT
aiti-419	79	1	the	the	DET
aiti-419	79	2	formulae	formulae	NOUN
aiti-419	79	3	for	for	ADP
aiti-419	79	4	frr	frr	NOUN
aiti-419	79	5	and	and	CCONJ
aiti-419	79	6	far	far	ADV
aiti-419	79	7	are	be	AUX
aiti-419	79	8	shown	show	VERB
aiti-419	79	9	in	in	ADP
aiti-419	79	10	eqs	eqs	PROPN
aiti-419	79	11	.	.	PROPN
aiti-419	79	12	13	13	NUM
aiti-419	79	13	and	and	CCONJ
aiti-419	79	14	14	14	NUM
aiti-419	79	15	,	,	PUNCT
aiti-419	79	16	respectively	respectively	ADV
aiti-419	79	17	.	.	PUNCT
aiti-419	80	1	for	for	ADP
aiti-419	80	2	biometric	biometric	ADJ
aiti-419	80	3	recognition	recognition	NOUN
aiti-419	80	4	systems	system	NOUN
aiti-419	80	5	,	,	PUNCT
aiti-419	80	6	it	it	PRON
aiti-419	80	7	is	be	AUX
aiti-419	80	8	common	common	ADJ
aiti-419	80	9	to	to	PART
aiti-419	80	10	measure	measure	VERB
aiti-419	80	11	the	the	DET
aiti-419	80	12	equal	equal	ADJ
aiti-419	80	13	error	error	NOUN
aiti-419	80	14	rate	rate	NOUN
aiti-419	80	15	(	(	PUNCT
aiti-419	80	16	err	err	NOUN
aiti-419	80	17	)	)	PUNCT
aiti-419	80	18	performance	performance	NOUN
aiti-419	80	19	index	index	NOUN
aiti-419	80	20	,	,	PUNCT
aiti-419	80	21	which	which	PRON
aiti-419	80	22	is	be	AUX
aiti-419	80	23	where	where	SCONJ
aiti-419	80	24	frr	frr	NOUN
aiti-419	80	25	and	and	CCONJ
aiti-419	80	26	far	far	ADJ
aiti-419	80	27	coincide	coincide	NOUN
aiti-419	80	28	,	,	PUNCT
aiti-419	80	29	and	and	CCONJ
aiti-419	80	30	this	this	PRON
aiti-419	80	31	was	be	AUX
aiti-419	80	32	achieved	achieve	VERB
aiti-419	80	33	by	by	ADP
aiti-419	80	34	analyzing	analyze	VERB
aiti-419	80	35	the	the	DET
aiti-419	80	36	frr	frr	NOUN
aiti-419	80	37	and	and	CCONJ
aiti-419	80	38	far	far	ADV
aiti-419	80	39	,	,	PUNCT
aiti-419	80	40	and	and	CCONJ
aiti-419	80	41	the	the	DET
aiti-419	80	42	resulting	result	VERB
aiti-419	80	43	err	err	NOUN
aiti-419	80	44	and	and	CCONJ
aiti-419	80	45	receiver	receiver	NOUN
aiti-419	80	46	operating	operate	VERB
aiti-419	80	47	characteristic	characteristic	NOUN
aiti-419	80	48	(	(	PUNCT
aiti-419	80	49	roc	roc	PROPN
aiti-419	80	50	)	)	PUNCT
aiti-419	80	51	curve	curve	NOUN
aiti-419	80	52	while	while	SCONJ
aiti-419	80	53	increasing	increase	VERB
aiti-419	80	54	the	the	DET
aiti-419	80	55	threshold	threshold	NOUN
aiti-419	80	56	value	value	NOUN
aiti-419	80	57	fo	fo	ADP
aiti-419	80	58	r	r	NOUN
aiti-419	80	59	the	the	DET
aiti-419	80	60	distance	distance	NOUN
aiti-419	80	61	measurement	measurement	NOUN
aiti-419	80	62	algorithm	algorithm	NOUN
aiti-419	80	63	for	for	ADP
aiti-419	80	64	the	the	DET
aiti-419	80	65	decision	decision	NOUN
aiti-419	80	66	of	of	ADP
aiti-419	80	67	recognition	recognition	NOUN
aiti-419	80	68	from	from	ADP
aiti-419	80	69	a	a	DET
aiti-419	80	70	lower	low	ADJ
aiti-419	80	71	value	value	NOUN
aiti-419	80	72	to	to	ADP
aiti-419	80	73	a	a	DET
aiti-419	80	74	higher	high	ADJ
aiti-419	80	75	value	value	NOUN
aiti-419	80	76	[	[	X
aiti-419	80	77	14	14	NUM
aiti-419	80	78	]	]	PUNCT
aiti-419	80	79	.	.	PUNCT
aiti-419	81	1	advances	advance	NOUN
aiti-419	81	2	in	in	ADP
aiti-419	81	3	technology	technology	NOUN
aiti-419	81	4	innovation	innovation	NOUN
aiti-419	81	5	,	,	PUNCT
aiti-419	81	6	vol	vol	NOUN
aiti-419	81	7	.	.	PROPN
aiti-419	82	1	2	2	NUM
aiti-419	82	2	,	,	PUNCT
aiti-419	82	3	no	no	INTJ
aiti-419	82	4	.	.	NOUN
aiti-419	82	5	3	3	NUM
aiti-419	82	6	,	,	PUNCT
aiti-419	82	7	2016	2016	NUM
aiti-419	82	8	,	,	PUNCT
aiti-419	82	9	pp	pp	ADV
aiti-419	82	10	.	.	PUNCT
aiti-419	83	1	89	89	NUM
aiti-419	83	2	94	94	NUM
aiti-419	83	3	92	92	NUM
aiti-419	83	4	copyright	copyright	NOUN
aiti-419	83	5	©	©	PROPN
aiti-419	83	6	taeti	taeti	PROPN
aiti-419	83	7	frr	frr	PROPN
aiti-419	83	8	=	=	PUNCT
aiti-419	84	1	𝑁𝑤	𝑁𝑤	ADP
aiti-419	84	2	𝑁𝑡	𝑁𝑡	PROPN
aiti-419	84	3	×	×	NOUN
aiti-419	84	4	100	100	NUM
aiti-419	84	5	(	(	PUNCT
aiti-419	84	6	7	7	NUM
aiti-419	84	7	)	)	PUNCT
aiti-419	84	8	far	far	ADV
aiti-419	84	9	=	=	SYM
aiti-419	84	10	tr−tn	tr−tn	NOUN
aiti-419	84	11	tr	tr	VERB
aiti-419	84	12	×	×	NOUN
aiti-419	84	13	100	100	NUM
aiti-419	84	14	(	(	PUNCT
aiti-419	84	15	8)	8)	NUM
aiti-419	84	16	where	where	SCONJ
aiti-419	84	17	nw	nw	PROPN
aiti-419	84	18	is	be	AUX
aiti-419	84	19	number	number	NOUN
aiti-419	84	20	of	of	ADP
aiti-419	84	21	wrong	wrong	ADJ
aiti-419	84	22	recognition	recognition	NOUN
aiti-419	84	23	,	,	PUNCT
aiti-419	84	24	nt	not	PART
aiti-419	84	25	is	be	AUX
aiti-419	84	26	number	number	NOUN
aiti-419	84	27	of	of	ADP
aiti-419	84	28	testing	test	VERB
aiti-419	84	29	data	datum	NOUN
aiti-419	84	30	for	for	ADP
aiti-419	84	31	target	target	NOUN
aiti-419	84	32	subject	subject	NOUN
aiti-419	84	33	,	,	PUNCT
aiti-419	84	34	tr	tr	VERB
aiti-419	84	35	is	be	AUX
aiti-419	84	36	total	total	ADJ
aiti-419	84	37	recognition	recognition	NOUN
aiti-419	84	38	number	number	NOUN
aiti-419	84	39	for	for	ADP
aiti-419	84	40	taget	taget	PROPN
aiti-419	84	41	subject	subject	NOUN
aiti-419	84	42	,	,	PUNCT
aiti-419	84	43	tn	tn	PROPN
aiti-419	84	44	is	be	AUX
aiti-419	84	45	testing	test	VERB
aiti-419	84	46	data	datum	NOUN
aiti-419	84	47	number	number	NOUN
aiti-419	84	48	.	.	PUNCT
aiti-419	85	1	moreover	moreover	ADV
aiti-419	85	2	,	,	PUNCT
aiti-419	85	3	the	the	DET
aiti-419	85	4	sensitivity	sensitivity	NOUN
aiti-419	85	5	and	and	CCONJ
aiti-419	85	6	specificity	specificity	NOUN
aiti-419	85	7	of	of	ADP
aiti-419	85	8	the	the	DET
aiti-419	85	9	proposed	propose	VERB
aiti-419	85	10	algorithm	algorithm	NOUN
aiti-419	85	11	were	be	AUX
aiti-419	85	12	investigated	investigate	VERB
aiti-419	85	13	using	use	VERB
aiti-419	85	14	the	the	DET
aiti-419	85	15	true	true	ADJ
aiti-419	85	16	positives	positive	NOUN
aiti-419	85	17	(	(	PUNCT
aiti-419	85	18	tp	tp	NOUN
aiti-419	85	19	)	)	PUNCT
aiti-419	85	20	,	,	PUNCT
aiti-419	85	21	the	the	DET
aiti-419	85	22	false	false	ADJ
aiti-419	85	23	positives	positive	NOUN
aiti-419	85	24	(	(	PUNCT
aiti-419	85	25	fp	fp	NOUN
aiti-419	85	26	)	)	PUNCT
aiti-419	85	27	,	,	PUNCT
aiti-419	85	28	and	and	CCONJ
aiti-419	85	29	the	the	DET
aiti-419	85	30	false	false	ADJ
aiti-419	85	31	negatives	negative	NOUN
aiti-419	85	32	(	(	PUNCT
aiti-419	85	33	fn	fn	NOUN
aiti-419	85	34	)	)	PUNCT
aiti-419	85	35	.	.	PUNCT
aiti-419	86	1	for	for	ADP
aiti-419	86	2	a	a	DET
aiti-419	86	3	biometric	biometric	ADJ
aiti-419	86	4	recognition	recognition	NOUN
aiti-419	86	5	algorithm	algorithm	NOUN
aiti-419	86	6	,	,	PUNCT
aiti-419	86	7	tp	tp	NOUN
aiti-419	86	8	,	,	PUNCT
aiti-419	86	9	fp	fp	X
aiti-419	86	10	,	,	PUNCT
aiti-419	86	11	and	and	CCONJ
aiti-419	86	12	fn	fn	NOUN
aiti-419	86	13	are	be	AUX
aiti-419	86	14	defined	define	VERB
aiti-419	86	15	as	as	ADP
aiti-419	86	16	follow	follow	NOUN
aiti-419	86	17	:	:	PUNCT
aiti-419	86	18			NOUN
aiti-419	86	19	tp	tp	NOUN
aiti-419	86	20	(	(	PUNCT
aiti-419	86	21	true	true	ADJ
aiti-419	86	22	positive	positive	ADJ
aiti-419	86	23	):	):	PUNCT
aiti-419	86	24	number	number	NOUN
aiti-419	86	25	of	of	ADP
aiti-419	86	26	accurately	accurately	ADV
aiti-419	86	27	recognized	recognize	VERB
aiti-419	86	28	test	test	NOUN
aiti-419	86	29	subjects	subject	NOUN
aiti-419	86	30	.	.	PUNCT
aiti-419	87	1			PROPN
aiti-419	87	2	fp	fp	PROPN
aiti-419	87	3	(	(	PUNCT
aiti-419	87	4	false	false	ADJ
aiti-419	87	5	positive	positive	ADJ
aiti-419	87	6	):	):	PUNCT
aiti-419	87	7	number	number	NOUN
aiti-419	87	8	of	of	ADP
aiti-419	87	9	falsely	falsely	ADV
aiti-419	87	10	recognized	recognize	VERB
aiti-419	87	11	test	test	NOUN
aiti-419	87	12	subjects	subject	NOUN
aiti-419	87	13	.	.	PUNCT
aiti-419	88	1	(	(	PUNCT
aiti-419	88	2	the	the	DET
aiti-419	88	3	number	number	NOUN
aiti-419	88	4	of	of	ADP
aiti-419	88	5	data	datum	NOUN
aiti-419	88	6	points	point	NOUN
aiti-419	88	7	classified	classify	VERB
aiti-419	88	8	as	as	ADP
aiti-419	88	9	the	the	DET
aiti-419	88	10	subject	subject	NOUN
aiti-419	88	11	in	in	ADP
aiti-419	88	12	question	question	NOUN
aiti-419	88	13	–	–	PUNCT
aiti-419	88	14	tp	tp	NOUN
aiti-419	88	15	)	)	PUNCT
aiti-419	88	16			NOUN
aiti-419	88	17	fn	fn	PROPN
aiti-419	88	18	(	(	PUNCT
aiti-419	88	19	false	false	ADJ
aiti-419	88	20	negative	negative	ADJ
aiti-419	88	21	):	):	PUNCT
aiti-419	88	22	the	the	DET
aiti-419	88	23	number	number	NOUN
aiti-419	88	24	of	of	ADP
aiti-419	88	25	subject	subject	ADJ
aiti-419	88	26	data	data	NOUN
aiti-419	88	27	points	point	NOUN
aiti-419	88	28	that	that	PRON
aiti-419	88	29	should	should	AUX
aiti-419	88	30	have	have	AUX
aiti-419	88	31	been	be	AUX
aiti-419	88	32	recognized	recognize	VERB
aiti-419	88	33	,	,	PUNCT
aiti-419	88	34	however	however	ADV
aiti-419	88	35	,	,	PUNCT
aiti-419	88	36	were	be	AUX
aiti-419	88	37	not	not	PART
aiti-419	88	38	recognized	recognize	VERB
aiti-419	88	39	.	.	PUNCT
aiti-419	89	1	(	(	PUNCT
aiti-419	89	2	the	the	DET
aiti-419	89	3	number	number	NOUN
aiti-419	89	4	of	of	ADP
aiti-419	89	5	testing	testing	NOUN
aiti-419	89	6	data	datum	NOUN
aiti-419	89	7	points	point	NOUN
aiti-419	89	8	from	from	ADP
aiti-419	89	9	each	each	DET
aiti-419	89	10	subject	subject	ADJ
aiti-419	89	11	-tp	-tp	NOUN
aiti-419	89	12	)	)	PUNCT
aiti-419	89	13	sensitivity	sensitivity	NOUN
aiti-419	89	14	and	and	CCONJ
aiti-419	89	15	specificity	specificity	NOUN
aiti-419	89	16	are	be	AUX
aiti-419	89	17	defined	define	VERB
aiti-419	89	18	by	by	ADP
aiti-419	89	19	eqs	eqs	PROPN
aiti-419	89	20	.	.	PROPN
aiti-419	89	21	9	9	NUM
aiti-419	89	22	and	and	CCONJ
aiti-419	89	23	10	10	NUM
aiti-419	89	24	below	below	ADV
aiti-419	89	25	,	,	PUNCT
aiti-419	89	26	respectively	respectively	ADV
aiti-419	89	27	.	.	PUNCT
aiti-419	90	1	sensitivity	sensitivity	NOUN
aiti-419	90	2	=	=	PUNCT
aiti-419	90	3	tp	tp	PART
aiti-419	90	4	tp+	tp+	VERB
aiti-419	90	5	fn	fn	PROPN
aiti-419	90	6	×	×	PROPN
aiti-419	90	7	100	100	NUM
aiti-419	90	8	(	(	PUNCT
aiti-419	90	9	9	9	NUM
aiti-419	90	10	)	)	PUNCT
aiti-419	90	11	specificity	specificity	NOUN
aiti-419	90	12	=	=	VERB
aiti-419	90	13	tp	tp	AUX
aiti-419	90	14	tp+	tp+	VERB
aiti-419	90	15	fp	fp	PRON
aiti-419	90	16	×	×	PROPN
aiti-419	90	17	100	100	NUM
aiti-419	90	18	(	(	PUNCT
aiti-419	90	19	10	10	NUM
aiti-419	90	20	)	)	SYM
aiti-419	90	21	3.2	3.2	NUM
aiti-419	90	22	testing	testing	NOUN
aiti-419	90	23	result	result	NOUN
aiti-419	90	24	table	table	NOUN
aiti-419	90	25	1	1	NUM
aiti-419	90	26	recognition	recognition	NOUN
aiti-419	90	27	performance	performance	NOUN
aiti-419	90	28	indices	indice	VERB
aiti-419	90	29	with	with	ADP
aiti-419	90	30	both	both	CCONJ
aiti-419	90	31	ecg	ecg	PROPN
aiti-419	90	32	and	and	CCONJ
aiti-419	90	33	ppg	ppg	PROPN
aiti-419	90	34	signals	signal	NOUN
aiti-419	90	35	used	use	VERB
aiti-419	90	36	ppg	ppg	NOUN
aiti-419	90	37	and	and	CCONJ
aiti-419	90	38	ecg	ecg	PROPN
aiti-419	90	39	features	feature	VERB
aiti-419	90	40	analysis	analysis	NOUN
aiti-419	90	41	and	and	CCONJ
aiti-419	90	42	multi	multi	ADJ
aiti-419	90	43	class	class	NOUN
aiti-419	90	44	classifier	classifier	NOUN
aiti-419	90	45	training	training	NOUN
aiti-419	90	46	number	number	NOUN
aiti-419	90	47	10	10	NUM
aiti-419	90	48	20	20	NUM
aiti-419	90	49	30	30	NUM
aiti-419	90	50	40	40	NUM
aiti-419	90	51	50	50	NUM
aiti-419	90	52	60	60	NUM
aiti-419	90	53	70	70	NUM
aiti-419	90	54	80	80	NUM
aiti-419	90	55	accuracy	accuracy	NOUN
aiti-419	90	56	(	(	PUNCT
aiti-419	90	57	%	%	INTJ
aiti-419	90	58	)	)	PUNCT
aiti-419	90	59	avr	avr	NOUN
aiti-419	91	1	92	92	NUM
aiti-419	91	2	95	95	NUM
aiti-419	91	3	96	96	NUM
aiti-419	91	4	97	97	NUM
aiti-419	91	5	97	97	NUM
aiti-419	91	6	98	98	NUM
aiti-419	91	7	99	99	NUM
aiti-419	91	8	99	99	NUM
aiti-419	91	9	std	std	NOUN
aiti-419	91	10	10	10	NUM
aiti-419	91	11	9.0	9.0	NUM
aiti-419	91	12	5.7	5.7	NUM
aiti-419	91	13	4.8	4.8	NUM
aiti-419	91	14	2.6	2.6	NUM
aiti-419	91	15	2.0	2.0	NUM
aiti-419	91	16	1.6	1.6	NUM
aiti-419	91	17	1.6	1.6	NUM
aiti-419	91	18	frr	frr	NOUN
aiti-419	91	19	(	(	PUNCT
aiti-419	91	20	%	%	NOUN
aiti-419	91	21	)	)	PUNCT
aiti-419	91	22	avr	avr	PROPN
aiti-419	91	23	7.2	7.2	NUM
aiti-419	91	24	4.7	4.7	NUM
aiti-419	91	25	3.1	3.1	NUM
aiti-419	91	26	2.4	2.4	NUM
aiti-419	91	27	2.6	2.6	NUM
aiti-419	91	28	1.2	1.2	NUM
aiti-419	91	29	0.8	0.8	NUM
aiti-419	91	30	0.8	0.8	NUM
aiti-419	91	31	std	std	NOUN
aiti-419	91	32	10	10	NUM
aiti-419	91	33	9.0	9.0	NUM
aiti-419	91	34	5.7	5.7	NUM
aiti-419	91	35	4.8	4.8	NUM
aiti-419	91	36	2.6	2.6	NUM
aiti-419	91	37	2.0	2.0	NUM
aiti-419	91	38	1.5	1.5	NUM
aiti-419	91	39	1.6	1.6	NUM
aiti-419	91	40	far	far	ADV
aiti-419	91	41	(	(	PUNCT
aiti-419	91	42	%	%	NOUN
aiti-419	91	43	)	)	PUNCT
aiti-419	91	44	avr	avr	NOUN
aiti-419	91	45	6.7	6.7	NUM
aiti-419	92	1	4.3	4.3	NUM
aiti-419	92	2	2.8	2.8	NUM
aiti-419	92	3	2.3	2.3	NUM
aiti-419	92	4	2.3	2.3	NUM
aiti-419	92	5	1.1	1.1	NUM
aiti-419	92	6	0.8	0.8	NUM
aiti-419	92	7	0.8	0.8	NUM
aiti-419	92	8	std	std	NOUN
aiti-419	92	9	7.8	7.8	NUM
aiti-419	92	10	6.8	6.8	NUM
aiti-419	92	11	4.9	4.9	NUM
aiti-419	92	12	3.6	3.6	NUM
aiti-419	92	13	2.8	2.8	NUM
aiti-419	92	14	2.0	2.0	NUM
aiti-419	92	15	1.3	1.3	NUM
aiti-419	92	16	1.5	1.5	NUM
aiti-419	92	17	sensitivity	sensitivity	NOUN
aiti-419	92	18	(	(	PUNCT
aiti-419	92	19	%	%	INTJ
aiti-419	92	20	)	)	PUNCT
aiti-419	92	21	avr	avr	PROPN
aiti-419	92	22	93	93	NUM
aiti-419	92	23	95	95	NUM
aiti-419	92	24	.	.	PUNCT
aiti-419	93	1	96	96	NUM
aiti-419	93	2	97	97	NUM
aiti-419	93	3	98	98	NUM
aiti-419	93	4	98	98	NUM
aiti-419	93	5	99	99	NUM
aiti-419	93	6	99	99	NUM
aiti-419	93	7	std	std	NOUN
aiti-419	93	8	10	10	NUM
aiti-419	93	9	9.0	9.0	NUM
aiti-419	93	10	5.7	5.7	NUM
aiti-419	93	11	4.8	4.8	NUM
aiti-419	93	12	2.6	2.6	NUM
aiti-419	93	13	2.0	2.0	NUM
aiti-419	93	14	1.6	1.6	NUM
aiti-419	93	15	1.6	1.6	NUM
aiti-419	93	16	specificity	specificity	NOUN
aiti-419	93	17	(	(	PUNCT
aiti-419	93	18	%	%	INTJ
aiti-419	93	19	)	)	PUNCT
aiti-419	93	20	avr	avr	NOUN
aiti-419	93	21	93	93	NUM
aiti-419	93	22	95	95	NUM
aiti-419	93	23	97	97	NUM
aiti-419	93	24	97	97	NUM
aiti-419	93	25	98	98	NUM
aiti-419	93	26	98	98	NUM
aiti-419	93	27	99	99	NUM
aiti-419	93	28	99	99	NUM
aiti-419	93	29	std	std	NOUN
aiti-419	93	30	7.8	7.8	NUM
aiti-419	93	31	6.8	6.8	NUM
aiti-419	93	32	4.9	4.9	NUM
aiti-419	93	33	3.6	3.6	NUM
aiti-419	93	34	2.8	2.8	NUM
aiti-419	93	35	2.0	2.0	NUM
aiti-419	93	36	1.4	1.4	NUM
aiti-419	93	37	1.5	1.5	NUM
aiti-419	93	38	fig	fig	NOUN
aiti-419	93	39	.	.	PUNCT
aiti-419	94	1	7	7	NUM
aiti-419	94	2	roc	roc	PROPN
aiti-419	94	3	curve	curve	NOUN
aiti-419	94	4	with	with	ADP
aiti-419	94	5	varying	vary	VERB
aiti-419	94	6	training	training	NOUN
aiti-419	94	7	data	datum	NOUN
aiti-419	94	8	size	size	NOUN
aiti-419	94	9	(	(	PUNCT
aiti-419	94	10	15	15	NUM
aiti-419	94	11	ecg	ecg	PROPN
aiti-419	94	12	features	feature	NOUN
aiti-419	94	13	used	use	VERB
aiti-419	94	14	only	only	ADV
aiti-419	94	15	)	)	PUNCT
aiti-419	94	16	fig	fig	NOUN
aiti-419	94	17	.	.	PUNCT
aiti-419	95	1	8	8	NUM
aiti-419	95	2	roc	roc	PROPN
aiti-419	95	3	curve	curve	NOUN
aiti-419	95	4	with	with	ADP
aiti-419	95	5	varying	vary	VERB
aiti-419	95	6	training	training	NOUN
aiti-419	95	7	data	datum	NOUN
aiti-419	95	8	size	size	NOUN
aiti-419	95	9	(	(	PUNCT
aiti-419	95	10	21	21	NUM
aiti-419	95	11	ecg	ecg	PROPN
aiti-419	95	12	and	and	CCONJ
aiti-419	95	13	ppg	ppg	PROPN
aiti-419	95	14	features	feature	NOUN
aiti-419	95	15	used	use	VERB
aiti-419	95	16	)	)	PUNCT
aiti-419	95	17	fig	fig	NOUN
aiti-419	95	18	.	.	PUNCT
aiti-419	96	1	7	7	NUM
aiti-419	96	2	shows	show	VERB
aiti-419	96	3	the	the	DET
aiti-419	96	4	performance	performance	NOUN
aiti-419	96	5	indices	index	NOUN
aiti-419	96	6	of	of	ADP
aiti-419	96	7	recognition	recognition	NOUN
aiti-419	96	8	using	use	VERB
aiti-419	96	9	a	a	DET
aiti-419	96	10	mult	mult	PROPN
aiti-419	96	11	i	i	PROPN
aiti-419	96	12	-	-	PUNCT
aiti-419	96	13	class	class	NOUN
aiti-419	96	14	svm	svm	NOUN
aiti-419	96	15	classifier	classifier	NOUN
aiti-419	96	16	with	with	ADP
aiti-419	96	17	15	15	NUM
aiti-419	96	18	ecg	ecg	PROPN
aiti-419	96	19	features	feature	NOUN
aiti-419	96	20	detected	detect	VERB
aiti-419	96	21	from	from	ADP
aiti-419	96	22	the	the	DET
aiti-419	96	23	actual	actual	ADJ
aiti-419	96	24	measurement	measurement	NOUN
aiti-419	96	25	data	datum	NOUN
aiti-419	96	26	from	from	ADP
aiti-419	96	27	33	33	NUM
aiti-419	96	28	test	test	NOUN
aiti-419	96	29	subjects	subject	NOUN
aiti-419	96	30	.	.	PUNCT
aiti-419	97	1	89.92	89.92	NUM
aiti-419	97	2	%	%	NOUN
aiti-419	97	3	accuracy	accuracy	NOUN
aiti-419	97	4	,	,	PUNCT
aiti-419	97	5	10.08	10.08	NUM
aiti-419	97	6	%	%	NOUN
aiti-419	97	7	frr	frr	NOUN
aiti-419	97	8	,	,	PUNCT
aiti-419	97	9	9.79	9.79	NUM
aiti-419	97	10	%	%	NOUN
aiti-419	97	11	far	far	ADV
aiti-419	97	12	,	,	PUNCT
aiti-419	97	13	89.92	89.92	NUM
aiti-419	97	14	%	%	NOUN
aiti-419	97	15	s	s	VERB
aiti-419	97	16	ens	ens	NOUN
aiti-419	97	17	it	it	PRON
aiti-419	97	18	iv	iv	VERB
aiti-419	97	19	ity	ity	NOUN
aiti-419	97	20	,	,	PUNCT
aiti-419	97	21	and	and	CCONJ
aiti-419	97	22	90	90	NUM
aiti-419	97	23	.	.	NOUN
aiti-419	98	1	21	21	NUM
aiti-419	98	2	%	%	NOUN
aiti-419	98	3	s	s	PART
aiti-419	98	4	pecific	pecific	ADJ
aiti-419	98	5	ity	ity	NOUN
aiti-419	98	6	were	be	AUX
aiti-419	98	7	observed	observe	VERB
aiti-419	98	8	when	when	SCONJ
aiti-419	98	9	the	the	DET
aiti-419	98	10	classifier	classifier	NOUN
aiti-419	98	11	is	be	AUX
aiti-419	98	12	trained	train	VERB
aiti-419	98	13	with	with	ADP
aiti-419	98	14	80	80	NUM
aiti-419	98	15	heartbeat	heartbeat	NOUN
aiti-419	98	16	data	datum	NOUN
aiti-419	98	17	obtained	obtain	VERB
aiti-419	98	18	from	from	ADP
aiti-419	98	19	the	the	DET
aiti-419	98	20	ecg	ecg	PROPN
aiti-419	98	21	s	s	PROPN
aiti-419	98	22	ignals	ignal	NOUN
aiti-419	98	23	advances	advance	VERB
aiti-419	98	24	in	in	ADP
aiti-419	98	25	technology	technology	NOUN
aiti-419	98	26	innovation	innovation	NOUN
aiti-419	98	27	,	,	PUNCT
aiti-419	98	28	vol	vol	NOUN
aiti-419	98	29	.	.	PROPN
aiti-419	99	1	2	2	NUM
aiti-419	99	2	,	,	PUNCT
aiti-419	99	3	no	no	INTJ
aiti-419	99	4	.	.	NOUN
aiti-419	99	5	3	3	NUM
aiti-419	99	6	,	,	PUNCT
aiti-419	99	7	2016	2016	NUM
aiti-419	99	8	,	,	PUNCT
aiti-419	99	9	pp	pp	ADV
aiti-419	99	10	.	.	PUNCT
aiti-419	100	1	89	89	NUM
aiti-419	100	2	94	94	NUM
aiti-419	100	3	93	93	NUM
aiti-419	100	4	copyright	copyright	NOUN
aiti-419	100	5	©	©	PROPN
aiti-419	100	6	taeti	taeti	PROPN
aiti-419	100	7	from	from	ADP
aiti-419	100	8	each	each	DET
aiti-419	100	9	subject	subject	NOUN
aiti-419	100	10	.	.	PUNCT
aiti-419	101	1	this	this	DET
aiti-419	101	2	result	result	NOUN
aiti-419	101	3	corresponds	correspond	VERB
aiti-419	101	4	to	to	ADP
aiti-419	101	5	the	the	DET
aiti-419	101	6	recognit	recognit	ADJ
aiti-419	101	7	ion	ion	NOUN
aiti-419	101	8	with	with	ADP
aiti-419	101	9	respect	respect	NOUN
aiti-419	101	10	to	to	ADP
aiti-419	101	11	2,640	2,640	NUM
aiti-419	101	12	tes	te	NOUN
aiti-419	101	13	t	t	PROPN
aiti-419	101	14	ing	ing	ADJ
aiti-419	101	15	heartbeat	heartbeat	NOUN
aiti-419	101	16	data	datum	NOUN
aiti-419	101	17	from	from	ADP
aiti-419	101	18	a	a	DET
aiti-419	101	19	total	total	NOUN
aiti-419	101	20	of	of	ADP
aiti-419	101	21	33	33	NUM
aiti-419	101	22	ecg	ecg	PROPN
aiti-419	101	23	signals	signal	NOUN
aiti-419	101	24	.	.	PUNCT
aiti-419	102	1	the	the	DET
aiti-419	102	2	proposed	propose	VERB
aiti-419	102	3	algorithm	algorithm	NOUN
aiti-419	102	4	was	be	AUX
aiti-419	102	5	tested	test	VERB
aiti-419	102	6	based	base	VERB
aiti-419	102	7	on	on	ADP
aiti-419	102	8	a	a	DET
aiti-419	102	9	total	total	NOUN
aiti-419	102	10	of	of	ADP
aiti-419	102	11	21	21	NUM
aiti-419	102	12	feature	feature	NOUN
aiti-419	102	13	points	point	NOUN
aiti-419	102	14	,	,	PUNCT
aiti-419	102	15	by	by	ADP
aiti-419	102	16	adding	add	VERB
aiti-419	102	17	the	the	DET
aiti-419	102	18	6	6	NUM
aiti-419	102	19	ppg	ppg	NOUN
aiti-419	102	20	feature	feature	NOUN
aiti-419	102	21	points	point	NOUN
aiti-419	102	22	measured	measure	VERB
aiti-419	102	23	simultaneously	simultaneously	ADV
aiti-419	102	24	from	from	ADP
aiti-419	102	25	the	the	DET
aiti-419	102	26	same	same	ADJ
aiti-419	102	27	subject	subject	NOUN
aiti-419	102	28	to	to	ADP
aiti-419	102	29	the	the	DET
aiti-419	102	30	15	15	NUM
aiti-419	102	31	ecg	ecg	PROPN
aiti-419	102	32	feature	feature	NOUN
aiti-419	102	33	points	point	NOUN
aiti-419	102	34	.	.	PUNCT
aiti-419	103	1	recognition	recognition	NOUN
aiti-419	103	2	performance	performance	NOUN
aiti-419	103	3	indices	index	NOUN
aiti-419	103	4	,	,	PUNCT
aiti-419	103	5	which	which	PRON
aiti-419	103	6	are	be	AUX
aiti-419	103	7	shown	show	VERB
aiti-419	103	8	in	in	ADP
aiti-419	103	9	table	table	NOUN
aiti-419	103	10	1	1	NUM
aiti-419	103	11	,	,	PUNCT
aiti-419	103	12	d	d	NOUN
aiti-419	103	13	isplayed	isplaye	VERB
aiti-419	103	14	the	the	DET
aiti-419	103	15	results	result	NOUN
aiti-419	103	16	of	of	ADP
aiti-419	103	17	99.28	99.28	NUM
aiti-419	103	18	%	%	NOUN
aiti-419	103	19	accuracy	accuracy	NOUN
aiti-419	103	20	,	,	PUNCT
aiti-419	103	21	0.88	0.88	NUM
aiti-419	103	22	%	%	NOUN
aiti-419	103	23	frr	frr	NOUN
aiti-419	103	24	,	,	PUNCT
aiti-419	103	25	0.85	0.85	NUM
aiti-419	103	26	%	%	NOUN
aiti-419	103	27	far	far	ADV
aiti-419	103	28	,	,	PUNCT
aiti-419	103	29	99.28	99.28	NUM
aiti-419	103	30	%	%	NOUN
aiti-419	103	31	sensitivity	sensitivity	NOUN
aiti-419	103	32	,	,	PUNCT
aiti-419	103	33	and	and	CCONJ
aiti-419	103	34	99.31	99.31	NUM
aiti-419	103	35	%	%	NOUN
aiti-419	103	36	specificity	specificity	NOUN
aiti-419	103	37	.	.	PUNCT
aiti-419	104	1	this	this	PRON
aiti-419	104	2	is	be	AUX
aiti-419	104	3	the	the	DET
aiti-419	104	4	performance	performance	NOUN
aiti-419	104	5	when	when	SCONJ
aiti-419	104	6	80	80	NUM
aiti-419	104	7	training	training	NOUN
aiti-419	104	8	data	datum	NOUN
aiti-419	104	9	points	point	NOUN
aiti-419	104	10	from	from	ADP
aiti-419	104	11	the	the	DET
aiti-419	104	12	ecg	ecg	PROPN
aiti-419	104	13	and	and	CCONJ
aiti-419	104	14	ppg	ppg	PROPN
aiti-419	104	15	signals	signal	NOUN
aiti-419	104	16	measured	measure	VERB
aiti-419	104	17	from	from	ADP
aiti-419	104	18	33	33	NUM
aiti-419	104	19	test	test	NOUN
aiti-419	104	20	subjects	subject	NOUN
aiti-419	104	21	are	be	AUX
aiti-419	104	22	used	use	VERB
aiti-419	104	23	,	,	PUNCT
aiti-419	104	24	and	and	CCONJ
aiti-419	104	25	2,970	2,970	NUM
aiti-419	104	26	testing	testing	NOUN
aiti-419	104	27	data	datum	NOUN
aiti-419	104	28	points	point	NOUN
aiti-419	104	29	were	be	AUX
aiti-419	104	30	used	use	VERB
aiti-419	104	31	overall	overall	ADV
aiti-419	104	32	.	.	PUNCT
aiti-419	105	1	moreover	moreover	ADV
aiti-419	105	2	,	,	PUNCT
aiti-419	105	3	as	as	SCONJ
aiti-419	105	4	shown	show	VERB
aiti-419	105	5	in	in	ADP
aiti-419	105	6	tab	tab	NOUN
aiti-419	105	7	le	le	ADP
aiti-419	105	8	1	1	NUM
aiti-419	105	9	and	and	CCONJ
aiti-419	105	10	fig	fig	NOUN
aiti-419	105	11	.	.	PUNCT
aiti-419	105	12	8	8	NUM
aiti-419	105	13	,	,	PUNCT
aiti-419	105	14	the	the	DET
aiti-419	105	15	accuracy	accuracy	NOUN
aiti-419	105	16	index	index	NOUN
aiti-419	105	17	shows	show	VERB
aiti-419	105	18	the	the	DET
aiti-419	105	19	high	high	ADJ
aiti-419	105	20	performance	performance	NOUN
aiti-419	105	21	of	of	ADP
aiti-419	105	22	92.7	92.7	NUM
aiti-419	105	23	%	%	NOUN
aiti-419	105	24	even	even	ADV
aiti-419	105	25	when	when	SCONJ
aiti-419	105	26	10	10	NUM
aiti-419	105	27	training	training	NOUN
aiti-419	105	28	data	datum	NOUN
aiti-419	105	29	points	point	NOUN
aiti-419	105	30	are	be	AUX
aiti-419	105	31	applied	apply	VERB
aiti-419	105	32	out	out	ADP
aiti-419	105	33	of	of	ADP
aiti-419	105	34	the	the	DET
aiti-419	105	35	160	160	NUM
aiti-419	105	36	heartbeat	heartbeat	NOUN
aiti-419	105	37	data	datum	NOUN
aiti-419	105	38	from	from	ADP
aiti-419	105	39	each	each	DET
aiti-419	105	40	subject	subject	NOUN
aiti-419	105	41	(	(	PUNCT
aiti-419	105	42	4,950	4,950	NUM
aiti-419	105	43	testing	testing	NOUN
aiti-419	105	44	heartbeat	heartbeat	NOUN
aiti-419	105	45	data	data	PROPN
aiti-419	105	46	)	)	PUNCT
aiti-419	105	47	.	.	PUNCT
aiti-419	106	1	the	the	DET
aiti-419	106	2	result	result	NOUN
aiti-419	106	3	of	of	ADP
aiti-419	106	4	the	the	DET
aiti-419	106	5	above	above	ADJ
aiti-419	106	6	test	test	NOUN
aiti-419	106	7	is	be	AUX
aiti-419	106	8	better	well	ADJ
aiti-419	106	9	than	than	ADP
aiti-419	106	10	or	or	CCONJ
aiti-419	106	11	equal	equal	ADJ
aiti-419	106	12	to	to	ADP
aiti-419	106	13	the	the	DET
aiti-419	106	14	performance	performance	NOUN
aiti-419	106	15	o	o	NOUN
aiti-419	106	16	f	f	NOUN
aiti-419	106	17	the	the	DET
aiti-419	106	18	e	e	PROPN
aiti-419	106	19	xis	xis	PROPN
aiti-419	106	20	t	t	PROPN
aiti-419	106	21	ing	ing	ADJ
aiti-419	106	22	common	common	ADJ
aiti-419	106	23	recognit	recognit	VERB
aiti-419	106	24	ion	ion	NOUN
aiti-419	106	25	s	s	PART
aiti-419	106	26	ys	ys	NOUN
aiti-419	106	27	tems	tem	NOUN
aiti-419	106	28	,	,	PUNCT
aiti-419	106	29	and	and	CCONJ
aiti-419	106	30	the	the	DET
aiti-419	106	31	recognit	recognit	ADJ
aiti-419	106	32	ion	ion	NOUN
aiti-419	106	33	performance	performance	NOUN
aiti-419	106	34	is	be	AUX
aiti-419	106	35	observed	observe	VERB
aiti-419	106	36	to	to	PART
aiti-419	106	37	be	be	AUX
aiti-419	106	38	extremely	extremely	ADV
aiti-419	106	39	higher	high	ADJ
aiti-419	106	40	compared	compare	VERB
aiti-419	106	41	to	to	ADP
aiti-419	106	42	the	the	DET
aiti-419	106	43	previous	previous	ADJ
aiti-419	106	44	test	test	NOUN
aiti-419	106	45	.	.	PUNCT
aiti-419	107	1	therefore	therefore	ADV
aiti-419	107	2	,	,	PUNCT
aiti-419	107	3	it	it	PRON
aiti-419	107	4	can	can	AUX
aiti-419	107	5	be	be	AUX
aiti-419	107	6	deduced	deduce	VERB
aiti-419	107	7	that	that	SCONJ
aiti-419	107	8	the	the	DET
aiti-419	107	9	consideration	consideration	NOUN
aiti-419	107	10	of	of	ADP
aiti-419	107	11	the	the	DET
aiti-419	107	12	features	feature	NOUN
aiti-419	107	13	of	of	ADP
aiti-419	107	14	two	two	NUM
aiti-419	107	15	types	type	NOUN
aiti-419	107	16	of	of	ADP
aiti-419	107	17	signals	signal	NOUN
aiti-419	107	18	for	for	ADP
aiti-419	107	19	the	the	DET
aiti-419	107	20	design	design	NOUN
aiti-419	107	21	of	of	ADP
aiti-419	107	22	b	b	PROPN
aiti-419	107	23	iometric	iometric	NOUN
aiti-419	107	24	recognition	recognition	NOUN
aiti-419	107	25	systems	system	NOUN
aiti-419	107	26	leads	lead	VERB
aiti-419	107	27	to	to	ADP
aiti-419	107	28	a	a	DET
aiti-419	107	29	higher	high	ADJ
aiti-419	107	30	recognition	recognition	NOUN
aiti-419	107	31	performance	performance	NOUN
aiti-419	107	32	than	than	ADP
aiti-419	107	33	when	when	SCONJ
aiti-419	107	34	a	a	DET
aiti-419	107	35	single	single	ADJ
aiti-419	107	36	type	type	NOUN
aiti-419	107	37	of	of	ADP
aiti-419	107	38	signal	signal	NOUN
aiti-419	107	39	is	be	AUX
aiti-419	107	40	used	use	VERB
aiti-419	107	41	.	.	PUNCT
aiti-419	108	1	4	4	X
aiti-419	108	2	.	.	X
aiti-419	108	3	conclusions	conclusion	NOUN
aiti-419	108	4	this	this	DET
aiti-419	108	5	paper	paper	NOUN
aiti-419	108	6	concerns	concern	VERB
aiti-419	108	7	the	the	DET
aiti-419	108	8	implementation	implementation	NOUN
aiti-419	108	9	of	of	ADP
aiti-419	108	10	a	a	DET
aiti-419	108	11	multi	multi	ADJ
aiti-419	108	12	-	-	ADJ
aiti-419	108	13	modal	modal	ADJ
aiti-419	108	14	biometric	biometric	ADJ
aiti-419	108	15	recognition	recognition	NOUN
aiti-419	108	16	system	system	NOUN
aiti-419	108	17	and	and	CCONJ
aiti-419	108	18	algorithm	algorithm	NOUN
aiti-419	108	19	,	,	PUNCT
aiti-419	108	20	wherein	wherein	SCONJ
aiti-419	108	21	ecg	ecg	PROPN
aiti-419	108	22	and	and	CCONJ
aiti-419	108	23	ppg	ppg	NOUN
aiti-419	108	24	signals	signal	NOUN
aiti-419	108	25	were	be	AUX
aiti-419	108	26	used	use	VERB
aiti-419	108	27	for	for	ADP
aiti-419	108	28	the	the	DET
aiti-419	108	29	recognition	recognition	NOUN
aiti-419	108	30	.	.	PUNCT
aiti-419	109	1	since	since	SCONJ
aiti-419	109	2	there	there	PRON
aiti-419	109	3	is	be	VERB
aiti-419	109	4	no	no	DET
aiti-419	109	5	previous	previous	ADJ
aiti-419	109	6	database	database	NOUN
aiti-419	109	7	where	where	SCONJ
aiti-419	109	8	ecg	ecg	PROPN
aiti-419	109	9	and	and	CCONJ
aiti-419	109	10	ppg	ppg	NOUN
aiti-419	109	11	signals	signal	NOUN
aiti-419	109	12	are	be	AUX
aiti-419	109	13	linked	link	VERB
aiti-419	109	14	,	,	PUNCT
aiti-419	109	15	a	a	DET
aiti-419	109	16	biometric	biometric	ADJ
aiti-419	109	17	system	system	NOUN
aiti-419	109	18	that	that	PRON
aiti-419	109	19	is	be	AUX
aiti-419	109	20	capable	capable	ADJ
aiti-419	109	21	of	of	ADP
aiti-419	109	22	actual	actual	ADJ
aiti-419	109	23	ecg	ecg	PROPN
aiti-419	109	24	and	and	CCONJ
aiti-419	109	25	pp	pp	ADP
aiti-419	109	26	g	g	PROPN
aiti-419	109	27	meas	meas	PROPN
aiti-419	109	28	urements	urement	NOUN
aiti-419	109	29	was	be	AUX
aiti-419	109	30	manufactured	manufacture	VERB
aiti-419	109	31	,	,	PUNCT
aiti-419	109	32	and	and	CCONJ
aiti-419	109	33	three	three	NUM
aiti-419	109	34	channels	channel	NOUN
aiti-419	109	35	of	of	ADP
aiti-419	109	36	ecg	ecg	PROPN
aiti-419	109	37	signal	signal	NOUN
aiti-419	109	38	and	and	CCONJ
aiti-419	109	39	one	one	NUM
aiti-419	109	40	channel	channel	NOUN
aiti-419	109	41	of	of	ADP
aiti-419	109	42	ppg	ppg	PROPN
aiti-419	109	43	signal	signal	NOUN
aiti-419	109	44	were	be	AUX
aiti-419	109	45	acquired	acquire	VERB
aiti-419	109	46	from	from	ADP
aiti-419	109	47	a	a	DET
aiti-419	109	48	total	total	NOUN
aiti-419	109	49	of	of	ADP
aiti-419	109	50	33	33	NUM
aiti-419	109	51	subjects	subject	NOUN
aiti-419	109	52	for	for	ADP
aiti-419	109	53	3	3	NUM
aiti-419	109	54	minutes	minute	NOUN
aiti-419	109	55	.	.	PUNCT
aiti-419	110	1	lead	lead	NOUN
aiti-419	110	2	-	-	PUNCT
aiti-419	110	3	i	i	PRON
aiti-419	110	4	signal	signal	NOUN
aiti-419	110	5	of	of	ADP
aiti-419	110	6	the	the	DET
aiti-419	110	7	three	three	NUM
aiti-419	110	8	channels	channel	NOUN
aiti-419	110	9	of	of	ADP
aiti-419	110	10	ecg	ecg	PROPN
aiti-419	110	11	signals	signal	NOUN
aiti-419	110	12	only	only	ADV
aiti-419	110	13	and	and	CCONJ
aiti-419	110	14	the	the	DET
aiti-419	110	15	1	1	NUM
aiti-419	110	16	-	-	PUNCT
aiti-419	110	17	channel	channel	NOUN
aiti-419	110	18	ppg	ppg	NOUN
aiti-419	110	19	signal	signal	NOUN
aiti-419	110	20	were	be	AUX
aiti-419	110	21	selected	select	VERB
aiti-419	110	22	for	for	ADP
aiti-419	110	23	recognition	recognition	NOUN
aiti-419	110	24	.	.	PUNCT
aiti-419	111	1	with	with	SCONJ
aiti-419	111	2	the	the	DET
aiti-419	111	3	ecg	ecg	PROPN
aiti-419	111	4	signals	signal	NOUN
aiti-419	111	5	acquired	acquire	VERB
aiti-419	111	6	from	from	ADP
aiti-419	111	7	each	each	DET
aiti-419	111	8	sub	sub	NOUN
aiti-419	111	9	ject	ject	PROPN
aiti-419	111	10	,	,	PUNCT
aiti-419	111	11	160	160	NUM
aiti-419	111	12	heartbeats	heartbeat	NOUN
aiti-419	111	13	were	be	AUX
aiti-419	111	14	separated	separate	VERB
aiti-419	111	15	and	and	CCONJ
aiti-419	111	16	15	15	NUM
aiti-419	111	17	ecg	ecg	PROPN
aiti-419	111	18	features	feature	NOUN
aiti-419	111	19	were	be	AUX
aiti-419	111	20	ext	ext	NOUN
aiti-419	111	21	racted	racte	VERB
aiti-419	111	22	from	from	ADP
aiti-419	111	23	each	each	DET
aiti-419	111	24	heartbeat	heartbeat	NOUN
aiti-419	111	25	.	.	PUNCT
aiti-419	112	1	moreover	moreover	ADV
aiti-419	112	2	,	,	PUNCT
aiti-419	112	3	4	4	NUM
aiti-419	112	4	ppg	ppg	NOUN
aiti-419	112	5	features	feature	NOUN
aiti-419	112	6	related	relate	VERB
aiti-419	112	7	to	to	ADP
aiti-419	112	8	ecg	ecg	PROPN
aiti-419	112	9	and	and	CCONJ
aiti-419	112	10	2	2	NUM
aiti-419	112	11	features	feature	NOUN
aiti-419	112	12	of	of	ADP
aiti-419	112	13	ppg	ppg	NOUN
aiti-419	112	14	only	only	ADV
aiti-419	112	15	were	be	AUX
aiti-419	112	16	selected	select	VERB
aiti-419	112	17	,	,	PUNCT
aiti-419	112	18	so	so	SCONJ
aiti-419	112	19	that	that	SCONJ
aiti-419	112	20	a	a	DET
aiti-419	112	21	total	total	NOUN
aiti-419	112	22	of	of	ADP
aiti-419	112	23	21	21	NUM
aiti-419	112	24	features	feature	NOUN
aiti-419	112	25	were	be	AUX
aiti-419	112	26	used	use	VERB
aiti-419	112	27	for	for	ADP
aiti-419	112	28	the	the	DET
aiti-419	112	29	recognition	recognition	NOUN
aiti-419	112	30	.	.	PUNCT
aiti-419	113	1	the	the	DET
aiti-419	113	2	recognition	recognition	NOUN
aiti-419	113	3	performance	performance	NOUN
aiti-419	113	4	indices	index	NOUN
aiti-419	113	5	of	of	ADP
aiti-419	113	6	the	the	DET
aiti-419	113	7	proposed	propose	VERB
aiti-419	113	8	biometric	biometric	ADJ
aiti-419	113	9	recognition	recognition	NOUN
aiti-419	113	10	system	system	NOUN
aiti-419	113	11	were	be	AUX
aiti-419	113	12	investigated	investigate	VERB
aiti-419	113	13	by	by	ADP
aiti-419	113	14	adjusting	adjust	VERB
aiti-419	113	15	the	the	DET
aiti-419	113	16	number	number	NOUN
aiti-419	113	17	of	of	ADP
aiti-419	113	18	train	train	NOUN
aiti-419	113	19	ing	ing	ADJ
aiti-419	113	20	heartbeat	heartbeat	NOUN
aiti-419	113	21	data	datum	NOUN
aiti-419	113	22	between	between	ADP
aiti-419	113	23	10	10	NUM
aiti-419	113	24	and	and	CCONJ
aiti-419	113	25	80	80	NUM
aiti-419	113	26	.	.	PUNCT
aiti-419	114	1	the	the	DET
aiti-419	114	2	performance	performance	NOUN
aiti-419	114	3	indices	index	NOUN
aiti-419	114	4	of	of	ADP
aiti-419	114	5	the	the	DET
aiti-419	114	6	recognition	recognition	NOUN
aiti-419	114	7	based	base	VERB
aiti-419	114	8	on	on	ADP
aiti-419	114	9	ecg	ecg	PROPN
aiti-419	114	10	features	feature	NOUN
aiti-419	114	11	only	only	ADV
aiti-419	114	12	were	be	AUX
aiti-419	114	13	found	find	VERB
aiti-419	114	14	to	to	PART
aiti-419	114	15	be	be	AUX
aiti-419	114	16	89.92	89.92	NUM
aiti-419	114	17	%	%	NOUN
aiti-419	114	18	accuracy	accuracy	NOUN
aiti-419	114	19	,	,	PUNCT
aiti-419	114	20	10.08	10.08	NUM
aiti-419	114	21	%	%	NOUN
aiti-419	114	22	frr	frr	NOUN
aiti-419	114	23	,	,	PUNCT
aiti-419	114	24	9.79	9.79	NUM
aiti-419	114	25	%	%	NOUN
aiti-419	114	26	far	far	ADV
aiti-419	114	27	,	,	PUNCT
aiti-419	114	28	89.92	89.92	NUM
aiti-419	114	29	%	%	NOUN
aiti-419	114	30	sensitivity	sensitivity	NOUN
aiti-419	114	31	,	,	PUNCT
aiti-419	114	32	and	and	CCONJ
aiti-419	114	33	90.21	90.21	NUM
aiti-419	114	34	%	%	NOUN
aiti-419	114	35	s	s	PART
aiti-419	114	36	pecificity	pecificity	NOUN
aiti-419	114	37	.	.	PUNCT
aiti-419	115	1	furthermore	furthermore	ADV
aiti-419	115	2	,	,	PUNCT
aiti-419	115	3	the	the	DET
aiti-419	115	4	perfor	perfor	PROPN
aiti-419	115	5	mance	mance	NOUN
aiti-419	115	6	indices	index	NOUN
aiti-419	115	7	of	of	ADP
aiti-419	115	8	the	the	DET
aiti-419	115	9	recognition	recognition	NOUN
aiti-419	115	10	combining	combine	VERB
aiti-419	115	11	ppg	ppg	NOUN
aiti-419	115	12	were	be	AUX
aiti-419	115	13	found	find	VERB
aiti-419	115	14	to	to	PART
aiti-419	115	15	be	be	AUX
aiti-419	115	16	99.28	99.28	NUM
aiti-419	115	17	%	%	NOUN
aiti-419	115	18	accuracy	accuracy	NOUN
aiti-419	115	19	,	,	PUNCT
aiti-419	115	20	0.88	0.88	NUM
aiti-419	115	21	%	%	NOUN
aiti-419	115	22	frr	frr	NOUN
aiti-419	115	23	,	,	PUNCT
aiti-419	115	24	0.85	0.85	NUM
aiti-419	115	25	%	%	NOUN
aiti-419	115	26	far	far	ADV
aiti-419	115	27	,	,	PUNCT
aiti-419	115	28	99.28	99.28	NUM
aiti-419	115	29	%	%	NOUN
aiti-419	115	30	sensitivity	sensitivity	NOUN
aiti-419	115	31	,	,	PUNCT
aiti-419	115	32	and	and	CCONJ
aiti-419	115	33	99.31	99.31	NUM
aiti-419	115	34	%	%	NOUN
aiti-419	115	35	specificity	specificity	NOUN
aiti-419	115	36	,	,	PUNCT
aiti-419	115	37	when	when	SCONJ
aiti-419	115	38	there	there	PRON
aiti-419	115	39	are	be	VERB
aiti-419	115	40	80	80	NUM
aiti-419	115	41	heartbeat	heartbeat	NOUN
aiti-419	115	42	data	datum	NOUN
aiti-419	115	43	for	for	ADP
aiti-419	115	44	training	training	NOUN
aiti-419	115	45	,	,	PUNCT
aiti-419	115	46	which	which	PRON
aiti-419	115	47	indicate	indicate	VERB
aiti-419	115	48	an	an	DET
aiti-419	115	49	ext	ext	NOUN
aiti-419	115	50	remely	remely	ADV
aiti-419	115	51	high	high	ADJ
aiti-419	115	52	recognition	recognition	NOUN
aiti-419	115	53	performance	performance	NOUN
aiti-419	115	54	.	.	PUNCT
aiti-419	116	1	therefore	therefore	ADV
aiti-419	116	2	,	,	PUNCT
aiti-419	116	3	it	it	PRON
aiti-419	116	4	can	can	AUX
aiti-419	116	5	be	be	AUX
aiti-419	116	6	deduced	deduce	VERB
aiti-419	116	7	that	that	SCONJ
aiti-419	116	8	the	the	DET
aiti-419	116	9	use	use	NOUN
aiti-419	116	10	of	of	ADP
aiti-419	116	11	the	the	DET
aiti-419	116	12	features	feature	NOUN
aiti-419	116	13	of	of	ADP
aiti-419	116	14	a	a	DET
aiti-419	116	15	combination	combination	NOUN
aiti-419	116	16	of	of	ADP
aiti-419	116	17	more	more	ADJ
aiti-419	116	18	than	than	ADP
aiti-419	116	19	two	two	NUM
aiti-419	116	20	bio	bio	NOUN
aiti-419	116	21	-	-	PUNCT
aiti-419	116	22	signals	signal	NOUN
aiti-419	116	23	can	can	AUX
aiti-419	116	24	lead	lead	VERB
aiti-419	116	25	to	to	ADP
aiti-419	116	26	a	a	DET
aiti-419	116	27	higher	high	ADJ
aiti-419	116	28	recognition	recognition	NOUN
aiti-419	116	29	performance	performance	NOUN
aiti-419	116	30	than	than	ADP
aiti-419	116	31	the	the	DET
aiti-419	116	32	use	use	NOUN
aiti-419	116	33	of	of	ADP
aiti-419	116	34	a	a	DET
aiti-419	116	35	single	single	ADJ
aiti-419	116	36	bio	bio	NOUN
aiti-419	116	37	-	-	NOUN
aiti-419	116	38	signal	signal	NOUN
aiti-419	116	39	.	.	PUNCT
aiti-419	117	1	moreover	moreover	ADV
aiti-419	117	2	,	,	PUNCT
aiti-419	117	3	the	the	DET
aiti-419	117	4	recognition	recognition	NOUN
aiti-419	117	5	system	system	NOUN
aiti-419	117	6	based	base	VERB
aiti-419	117	7	on	on	ADP
aiti-419	117	8	the	the	DET
aiti-419	117	9	combination	combination	NOUN
aiti-419	117	10	of	of	ADP
aiti-419	117	11	the	the	DET
aiti-419	117	12	two	two	NUM
aiti-419	117	13	signals	signal	NOUN
aiti-419	117	14	exhibits	exhibit	VERB
aiti-419	117	15	the	the	DET
aiti-419	117	16	performance	performance	NOUN
aiti-419	117	17	of	of	ADP
aiti-419	117	18	92.77	92.77	NUM
aiti-419	117	19	%	%	NOUN
aiti-419	117	20	accuracy	accuracy	NOUN
aiti-419	117	21	,	,	PUNCT
aiti-419	117	22	7.23	7.23	NUM
aiti-419	117	23	%	%	NOUN
aiti-419	117	24	frr	frr	NOUN
aiti-419	117	25	,	,	PUNCT
aiti-419	117	26	6.29	6.29	NUM
aiti-419	117	27	%	%	NOUN
aiti-419	117	28	far	far	ADV
aiti-419	117	29	,	,	PUNCT
aiti-419	117	30	92.77	92.77	NUM
aiti-419	117	31	%	%	NOUN
aiti-419	117	32	sensitivity	sensitivity	NOUN
aiti-419	117	33	,	,	PUNCT
aiti-419	117	34	and	and	CCONJ
aiti-419	117	35	93.21	93.21	NUM
aiti-419	117	36	%	%	NOUN
aiti-419	117	37	specificity	specificity	NOUN
aiti-419	117	38	,	,	PUNCT
aiti-419	117	39	even	even	ADV
aiti-419	117	40	when	when	SCONJ
aiti-419	117	41	10	10	NUM
aiti-419	117	42	heartbeat	heartbeat	NOUN
aiti-419	117	43	data	datum	NOUN
aiti-419	117	44	are	be	AUX
aiti-419	117	45	used	use	VERB
aiti-419	117	46	for	for	ADP
aiti-419	117	47	training	training	NOUN
aiti-419	117	48	,	,	PUNCT
aiti-419	117	49	which	which	PRON
aiti-419	117	50	can	can	AUX
aiti-419	117	51	be	be	AUX
aiti-419	117	52	viewed	view	VERB
aiti-419	117	53	as	as	ADP
aiti-419	117	54	an	an	DET
aiti-419	117	55	extremely	extremely	ADV
aiti-419	117	56	high	high	ADJ
aiti-419	117	57	recognition	recognition	NOUN
aiti-419	117	58	performance	performance	NOUN
aiti-419	117	59	,	,	PUNCT
aiti-419	117	60	considering	consider	VERB
aiti-419	117	61	that	that	SCONJ
aiti-419	117	62	there	there	PRON
aiti-419	117	63	were	be	VERB
aiti-419	117	64	4,950	4,950	NUM
aiti-419	117	65	testing	testing	NOUN
aiti-419	117	66	heartbeat	heartbeat	NOUN
aiti-419	117	67	data	data	PROPN
aiti-419	117	68	.	.	PUNCT
aiti-419	118	1	acknowledgement	acknowledgement	NOUN
aiti-419	118	2	this	this	DET
aiti-419	118	3	work	work	NOUN
aiti-419	118	4	was	be	AUX
aiti-419	118	5	supported	support	VERB
aiti-419	118	6	by	by	ADP
aiti-419	118	7	the	the	DET
aiti-419	118	8	human	human	ADJ
aiti-419	118	9	res	re	NOUN
aiti-419	118	10	ource	ource	ADJ
aiti-419	118	11	train	train	NOUN
aiti-419	118	12	ing	ing	NOUN
aiti-419	118	13	program	program	NOUN
aiti-419	118	14	for	for	ADP
aiti-419	118	15	regional	regional	ADJ
aiti-419	118	16	innovation	innovation	NOUN
aiti-419	118	17	and	and	CCONJ
aiti-419	118	18	creativity	creativity	NOUN
aiti-419	118	19	through	through	ADP
aiti-419	118	20	the	the	DET
aiti-419	118	21	ministry	ministry	PROPN
aiti-419	118	22	of	of	ADP
aiti-419	118	23	education	education	PROPN
aiti-419	118	24	and	and	CCONJ
aiti-419	118	25	national	national	PROPN
aiti-419	118	26	research	research	PROPN
aiti-419	118	27	foundation	foundation	PROPN
aiti-419	118	28	of	of	ADP
aiti-419	118	29	korea	korea	PROPN
aiti-419	118	30	(	(	PUNCT
aiti-419	118	31	nrf-2014h1c1a1066998	nrf-2014h1c1a1066998	PROPN
aiti-419	118	32	)	)	PUNCT
aiti-419	118	33	.	.	PUNCT
aiti-419	119	1	references	reference	NOUN
aiti-419	119	2	[	[	X
aiti-419	119	3	1	1	NUM
aiti-419	119	4	]	]	PUNCT
aiti-419	119	5	l.	l.	PROPN
aiti-419	119	6	biel	biel	PROPN
aiti-419	119	7	,	,	PUNCT
aiti-419	119	8	et	et	PROPN
aiti-419	119	9	al	al	PROPN
aiti-419	119	10	.	.	PROPN
aiti-419	119	11	,	,	PUNCT
aiti-419	119	12	“	"	PUNCT
aiti-419	119	13	ecg	ecg	PROPN
aiti-419	119	14	analysis	analysis	NOUN
aiti-419	119	15	:	:	PUNCT
aiti-419	119	16	a	a	DET
aiti-419	119	17	new	new	ADJ
aiti-419	119	18	approach	approach	NOUN
aiti-419	119	19	in	in	ADP
aiti-419	119	20	human	human	ADJ
aiti-419	119	21	identification	identification	NOUN
aiti-419	119	22	,	,	PUNCT
aiti-419	119	23	”	"	PUNCT
aiti-419	119	24	ieee	ieee	PROPN
aiti-419	119	25	trans	trans	PROPN
aiti-419	119	26	act	act	PROPN
aiti-419	119	27	ions	ion	NOUN
aiti-419	119	28	on	on	ADP
aiti-419	119	29	inst	inst	NOUN
aiti-419	119	30	rumentat	rumentat	NOUN
aiti-419	119	31	ion	ion	NOUN
aiti-419	119	32	and	and	CCONJ
aiti-419	119	33	measurement	measurement	NOUN
aiti-419	119	34	,	,	PUNCT
aiti-419	119	35	vol	vol	NOUN
aiti-419	119	36	.	.	PROPN
aiti-419	120	1	50	50	NUM
aiti-419	120	2	,	,	PUNCT
aiti-419	120	3	no	no	INTJ
aiti-419	120	4	.	.	NOUN
aiti-419	120	5	3	3	NUM
aiti-419	120	6	,	,	PUNCT
aiti-419	120	7	pp	pp	ADJ
aiti-419	120	8	.	.	PUNCT
aiti-419	121	1	808	808	NUM
aiti-419	121	2	-	-	SYM
aiti-419	121	3	812	812	NUM
aiti-419	121	4	,	,	PUNCT
aiti-419	121	5	2001	2001	NUM
aiti-419	121	6	.	.	PUNCT
aiti-419	122	1	[	[	X
aiti-419	122	2	2	2	X
aiti-419	122	3	]	]	PUNCT
aiti-419	122	4	j.	j.	PROPN
aiti-419	122	5	m.	m.	PROPN
aiti-419	122	6	irv	irv	PROPN
aiti-419	122	7	ine	ine	PROPN
aiti-419	122	8	,	,	PUNCT
aiti-419	122	9	et	et	PROPN
aiti-419	122	10	al	al	PROPN
aiti-419	122	11	.	.	PROPN
aiti-419	122	12	,	,	PUNCT
aiti-419	122	13	“	"	PUNCT
aiti-419	122	14	eigenpulse	eigenpulse	ADJ
aiti-419	122	15	:	:	PUNCT
aiti-419	122	16	robust	robust	ADJ
aiti-419	122	17	human	human	ADJ
aiti-419	122	18	identification	identification	NOUN
aiti-419	122	19	from	from	ADP
aiti-419	122	20	cardiovascular	cardiovascular	ADJ
aiti-419	122	21	function	function	NOUN
aiti-419	122	22	,	,	PUNCT
aiti-419	122	23	”	"	PUNCT
aiti-419	122	24	pattern	pattern	NOUN
aiti-419	122	25	recognition	recognition	NOUN
aiti-419	122	26	,	,	PUNCT
aiti-419	122	27	vol	vol	NOUN
aiti-419	122	28	.	.	PROPN
aiti-419	122	29	41	41	NUM
aiti-419	122	30	,	,	PUNCT
aiti-419	122	31	no	no	INTJ
aiti-419	122	32	.	.	NOUN
aiti-419	122	33	11	11	NUM
aiti-419	122	34	,	,	PUNCT
aiti-419	122	35	pp	pp	ADJ
aiti-419	122	36	.	.	PUNCT
aiti-419	123	1	3427	3427	NUM
aiti-419	123	2	-	-	SYM
aiti-419	123	3	3435	3435	NUM
aiti-419	123	4	,	,	PUNCT
aiti-419	123	5	2008	2008	NUM
aiti-419	123	6	.	.	PUNCT
aiti-419	124	1	[	[	X
aiti-419	124	2	3	3	X
aiti-419	124	3	]	]	PUNCT
aiti-419	124	4	t.	t.	PROPN
aiti-419	124	5	w.	w.	PROPN
aiti-419	124	6	shen	shen	PROPN
aiti-419	124	7	and	and	CCONJ
aiti-419	124	8	w.j	w.j	PROPN
aiti-419	124	9	.	.	PROPN
aiti-419	124	10	tompkins	tompkins	PROPN
aiti-419	124	11	,	,	PUNCT
aiti-419	124	12	“	"	PUNCT
aiti-419	124	13	biometric	biometric	ADJ
aiti-419	124	14	statistical	statistical	ADJ
aiti-419	124	15	study	study	NOUN
aiti-419	124	16	of	of	ADP
aiti-419	124	17	one	one	NUM
aiti-419	124	18	-	-	PUNCT
aiti-419	124	19	lead	lead	NOUN
aiti-419	124	20	ecg	ecg	PROPN
aiti-419	124	21	features	feature	NOUN
aiti-419	124	22	and	and	CCONJ
aiti-419	124	23	body	body	NOUN
aiti-419	124	24	mass	mass	NOUN
aiti-419	124	25	index	index	NOUN
aiti-419	124	26	(	(	PUNCT
aiti-419	124	27	bmi	bmi	PROPN
aiti-419	124	28	)	)	PUNCT
aiti-419	124	29	,	,	PUNCT
aiti-419	124	30	”	"	PUNCT
aiti-419	124	31	27th	27th	ADJ
aiti-419	124	32	annual	annual	ADJ
aiti-419	124	33	international	international	ADJ
aiti-419	124	34	conference	conference	NOUN
aiti-419	124	35	engineering	engineering	NOUN
aiti-419	124	36	in	in	ADP
aiti-419	124	37	medicine	medicine	NOUN
aiti-419	124	38	and	and	CCONJ
aiti-419	124	39	biology	biology	NOUN
aiti-419	124	40	society	society	NOUN
aiti-419	124	41	,	,	PUNCT
aiti-419	124	42	ieee	ieee	NOUN
aiti-419	124	43	press	press	NOUN
aiti-419	124	44	,	,	PUNCT
aiti-419	124	45	september	september	PROPN
aiti-419	124	46	,	,	PUNCT
aiti-419	124	47	2005	2005	NUM
aiti-419	124	48	.	.	PUNCT
aiti-419	125	1	[	[	X
aiti-419	125	2	4	4	X
aiti-419	125	3	]	]	PUNCT
aiti-419	125	4	s.	s.	PROPN
aiti-419	125	5	a.	a.	PROPN
aiti-419	125	6	israel	israel	PROPN
aiti-419	125	7	,	,	PUNCT
aiti-419	125	8	et	et	PROPN
aiti-419	125	9	al	al	PROPN
aiti-419	125	10	.	.	PROPN
aiti-419	125	11	,	,	PUNCT
aiti-419	125	12	“	"	PUNCT
aiti-419	125	13	ecg	ecg	PROPN
aiti-419	125	14	to	to	PART
aiti-419	125	15	identify	identify	VERB
aiti-419	125	16	individuals	individual	NOUN
aiti-419	125	17	,	,	PUNCT
aiti-419	125	18	”	"	PUNCT
aiti-419	125	19	pat	pat	PROPN
aiti-419	125	20	tern	tern	ADJ
aiti-419	125	21	recognit	recognit	VERB
aiti-419	125	22	ion	ion	NOUN
aiti-419	125	23	,	,	PUNCT
aiti-419	125	24	vo	vo	X
aiti-419	125	25	l.	l.	PROPN
aiti-419	125	26	38	38	NUM
aiti-419	125	27	,	,	PUNCT
aiti-419	125	28	no	no	INTJ
aiti-419	125	29	.	.	NOUN
aiti-419	126	1	1	1	NUM
aiti-419	126	2	,	,	PUNCT
aiti-419	126	3	pp	pp	ADV
aiti-419	126	4	.	.	PUNCT
aiti-419	127	1	133	133	NUM
aiti-419	127	2	-	-	SYM
aiti-419	127	3	142	142	NUM
aiti-419	127	4	,	,	PUNCT
aiti-419	127	5	2005	2005	NUM
aiti-419	127	6	.	.	PUNCT
aiti-419	128	1	[	[	X
aiti-419	128	2	5	5	X
aiti-419	128	3	]	]	PUNCT
aiti-419	128	4	k.	k.	PROPN
aiti-419	128	5	n.	n.	PROPN
aiti-419	128	6	plataniotis	plataniotis	PROPN
aiti-419	128	7	,	,	PUNCT
aiti-419	128	8	d.	d.	PROPN
aiti-419	128	9	hatzinakos	hatzinakos	PROPN
aiti-419	128	10	,	,	PUNCT
aiti-419	128	11	and	and	CCONJ
aiti-419	128	12	j.	j.	PROPN
aiti-419	128	13	k.	k.	PROPN
aiti-419	128	14	m.	m.	PROPN
aiti-419	128	15	lee	lee	PROPN
aiti-419	128	16	,	,	PUNCT
aiti-419	128	17	“	"	PUNCT
aiti-419	128	18	analysis	analysis	NOUN
aiti-419	128	19	of	of	ADP
aiti-419	128	20	human	human	ADJ
aiti-419	128	21	electrocard	electrocard	PROPN
aiti-419	128	22	iogram	iogram	PROPN
aiti-419	128	23	ecg	ecg	PROPN
aiti-419	128	24	for	for	ADP
aiti-419	128	25	b	b	PROPN
aiti-419	128	26	iometric	iometric	ADJ
aiti-419	128	27	recognit	recognit	VERB
aiti-419	128	28	ion	ion	NOUN
aiti-419	128	29	,	,	PUNCT
aiti-419	128	30	”	"	PUNCT
aiti-419	128	31	proc	proc	NOUN
aiti-419	128	32	.	.	PUNCT
aiti-419	129	1	o	o	X
aiti-419	129	2	f	f	PROPN
aiti-419	129	3	advances	advance	VERB
aiti-419	129	4	in	in	ADP
aiti-419	129	5	technology	technology	NOUN
aiti-419	129	6	innovation	innovation	NOUN
aiti-419	129	7	,	,	PUNCT
aiti-419	129	8	vol	vol	NOUN
aiti-419	129	9	.	.	PROPN
aiti-419	130	1	2	2	NUM
aiti-419	130	2	,	,	PUNCT
aiti-419	130	3	no	no	INTJ
aiti-419	130	4	.	.	NOUN
aiti-419	130	5	3	3	NUM
aiti-419	130	6	,	,	PUNCT
aiti-419	130	7	2016	2016	NUM
aiti-419	130	8	,	,	PUNCT
aiti-419	130	9	pp	pp	ADV
aiti-419	130	10	.	.	PUNCT
aiti-419	131	1	89	89	NUM
aiti-419	131	2	94	94	NUM
aiti-419	131	3	94	94	NUM
aiti-419	131	4	copyright	copyright	NOUN
aiti-419	131	5	©	©	PROPN
aiti-419	131	6	taeti	taeti	PROPN
aiti-419	131	7	biometrics	biometric	NOUN
aiti-419	131	8	symposiums	symposium	NOUN
aiti-419	131	9	,	,	PUNCT
aiti-419	131	10	baltimore	baltimore	PROPN
aiti-419	131	11	,	,	PUNCT
aiti-419	131	12	usa	usa	PROPN
aiti-419	131	13	,	,	PUNCT
aiti-419	131	14	2006	2006	NUM
aiti-419	131	15	.	.	PUNCT
aiti-419	132	1	[	[	X
aiti-419	132	2	6	6	NUM
aiti-419	132	3	]	]	PUNCT
aiti-419	132	4	j.	j.	PROPN
aiti-419	132	5	kim	kim	PROPN
aiti-419	132	6	,	,	PUNCT
aiti-419	132	7	et	et	PROPN
aiti-419	132	8	al	al	PROPN
aiti-419	132	9	.	.	PROPN
aiti-419	132	10	,	,	PUNCT
aiti-419	132	11	“	"	PUNCT
aiti-419	132	12	an	an	DET
aiti-419	132	13	event	event	NOUN
aiti-419	132	14	detection	detection	NOUN
aiti-419	132	15	algorithm	algorithm	NOUN
aiti-419	132	16	in	in	ADP
aiti-419	132	17	ecg	ecg	PROPN
aiti-419	132	18	with	with	ADP
aiti-419	132	19	60hz	60hz	ADJ
aiti-419	132	20	interference	interference	NOUN
aiti-419	132	21	and	and	CCONJ
aiti-419	132	22	baselinewandering	baselinewandering	NOUN
aiti-419	132	23	,	,	PUNCT
aiti-419	132	24	”	"	PUNCT
aiti-419	132	25	proceedings	proceeding	NOUN
aiti-419	132	26	of	of	ADP
aiti-419	132	27	the	the	DET
aiti-419	132	28	2nd	2nd	ADJ
aiti-419	132	29	internat	internat	PROPN
aiti-419	132	30	ional	ional	PROPN
aiti-419	132	31	conference	conference	NOUN
aiti-419	132	32	on	on	ADP
aiti-419	132	33	interact	interact	ADJ
aiti-419	132	34	ion	ion	NOUN
aiti-419	132	35	sciences	science	NOUN
aiti-419	132	36	,	,	PUNCT
aiti-419	132	37	information	information	NOUN
aiti-419	132	38	technology	technology	NOUN
aiti-419	132	39	(	(	PUNCT
aiti-419	132	40	icis	icis	NOUN
aiti-419	132	41	‘	'	PUNCT
aiti-419	132	42	09	09	NUM
aiti-419	132	43	)	)	PUNCT
aiti-419	132	44	,	,	PUNCT
aiti-419	132	45	culture	culture	NOUN
aiti-419	132	46	and	and	CCONJ
aiti-419	132	47	human	human	PROPN
aiti-419	132	48	new	new	PROPN
aiti-419	132	49	york	york	PROPN
aiti-419	132	50	,	,	PUNCT
aiti-419	132	51	ny	ny	PROPN
aiti-419	132	52	,	,	PUNCT
aiti-419	132	53	usa	usa	PROPN
aiti-419	132	54	,	,	PUNCT
aiti-419	132	55	2009	2009	NUM
aiti-419	132	56	.	.	PUNCT
aiti-419	133	1	[	[	X
aiti-419	133	2	7	7	X
aiti-419	133	3	]	]	X
aiti-419	133	4	c.	c.	NOUN
aiti-419	133	5	cortes	corte	NOUN
aiti-419	133	6	,	,	PUNCT
aiti-419	133	7	and	and	CCONJ
aiti-419	133	8	v.	v.	ADP
aiti-419	133	9	vapnik	vapnik	X
aiti-419	133	10	,	,	PUNCT
aiti-419	133	11	“	"	PUNCT
aiti-419	133	12	support	support	NOUN
aiti-419	133	13	-	-	PUNCT
aiti-419	133	14	vector	vector	NOUN
aiti-419	133	15	network	network	NOUN
aiti-419	133	16	,	,	PUNCT
aiti-419	133	17	”	"	PUNCT
aiti-419	133	18	machine	machine	NOUN
aiti-419	133	19	learn	learn	VERB
aiti-419	133	20	ing	ing	ADJ
aiti-419	133	21	,	,	PUNCT
aiti-419	133	22	vol	vol	NOUN
aiti-419	133	23	.	.	PROPN
aiti-419	133	24	20	20	NUM
aiti-419	133	25	,	,	PUNCT
aiti-419	133	26	no	no	INTJ
aiti-419	133	27	.	.	NOUN
aiti-419	133	28	3	3	NUM
aiti-419	133	29	,	,	PUNCT
aiti-419	133	30	pp	pp	ADJ
aiti-419	133	31	.	.	PUNCT
aiti-419	134	1	273	273	NUM
aiti-419	134	2	-	-	SYM
aiti-419	134	3	297	297	NUM
aiti-419	134	4	,	,	PUNCT
aiti-419	134	5	1995	1995	NUM
aiti-419	134	6	.	.	PUNCT