id	sid	tid	token	lemma	pos
easat-7976	1	1	edelweiss	edelweiss	PROPN
easat-7976	1	2	applied	apply	VERB
easat-7976	1	3	science	science	NOUN
easat-7976	1	4	and	and	CCONJ
easat-7976	1	5	technology	technology	NOUN
easat-7976	1	6	issn	issn	PROPN
easat-7976	1	7	:	:	PUNCT
easat-7976	1	8	2576	2576	NUM
easat-7976	1	9	-	-	SYM
easat-7976	1	10	8484	8484	NUM
easat-7976	1	11	vol	vol	NOUN
easat-7976	1	12	.	.	PROPN
easat-7976	2	1	9	9	NUM
easat-7976	2	2	,	,	PUNCT
easat-7976	2	3	no	no	INTJ
easat-7976	2	4	.	.	NOUN
easat-7976	2	5	6	6	NUM
easat-7976	2	6	,	,	PUNCT
easat-7976	2	7	925	925	NUM
easat-7976	2	8	-	-	SYM
easat-7976	2	9	938	938	NUM
easat-7976	2	10	2025	2025	NUM
easat-7976	2	11	publisher	publisher	NOUN
easat-7976	2	12	:	:	PUNCT
easat-7976	2	13	learning	learn	VERB
easat-7976	2	14	gate	gate	NOUN
easat-7976	2	15	doi	doi	PROPN
easat-7976	2	16	:	:	PUNCT
easat-7976	2	17	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	2	18	©	©	PROPN
easat-7976	2	19	2025	2025	NUM
easat-7976	2	20	by	by	ADP
easat-7976	2	21	the	the	DET
easat-7976	2	22	authors	author	NOUN
easat-7976	2	23	;	;	PUNCT
easat-7976	2	24	licensee	licensee	PROPN
easat-7976	2	25	learning	learning	NOUN
easat-7976	2	26	gate	gate	NOUN
easat-7976	3	1	©	©	PROPN
easat-7976	3	2	2025	2025	NUM
easat-7976	3	3	by	by	ADP
easat-7976	3	4	the	the	DET
easat-7976	3	5	authors	author	NOUN
easat-7976	3	6	;	;	PUNCT
easat-7976	3	7	licensee	licensee	PROPN
easat-7976	3	8	learning	learning	NOUN
easat-7976	3	9	gate	gate	NOUN
easat-7976	3	10	history	history	NOUN
easat-7976	3	11	:	:	PUNCT
easat-7976	3	12	received	receive	VERB
easat-7976	3	13	:	:	PUNCT
easat-7976	3	14	11	11	NUM
easat-7976	3	15	april	april	PROPN
easat-7976	3	16	2025	2025	NUM
easat-7976	3	17	;	;	PUNCT
easat-7976	3	18	revised	revise	VERB
easat-7976	3	19	:	:	PUNCT
easat-7976	3	20	3	3	NUM
easat-7976	3	21	june	june	PROPN
easat-7976	3	22	2025	2025	NUM
easat-7976	3	23	;	;	PUNCT
easat-7976	3	24	accepted	accept	VERB
easat-7976	3	25	:	:	PUNCT
easat-7976	3	26	6	6	NUM
easat-7976	3	27	june	june	PROPN
easat-7976	3	28	2025	2025	NUM
easat-7976	3	29	;	;	PUNCT
easat-7976	3	30	published	publish	VERB
easat-7976	3	31	:	:	PUNCT
easat-7976	3	32	11	11	NUM
easat-7976	3	33	june	june	PROPN
easat-7976	3	34	2025	2025	NUM
easat-7976	3	35	*	*	PUNCT
easat-7976	3	36	correspondence	correspondence	NOUN
easat-7976	3	37	:	:	PUNCT
easat-7976	4	1	ahmedali.didi@univ-tlemcen.dz	ahmedali.didi@univ-tlemcen.dz	PROPN
easat-7976	4	2	modeling	model	VERB
easat-7976	4	3	local	local	ADJ
easat-7976	4	4	muscle	muscle	NOUN
easat-7976	4	5	fatigue	fatigue	NOUN
easat-7976	4	6	phases	phase	NOUN
easat-7976	4	7	from	from	ADP
easat-7976	4	8	emg	emg	NOUN
easat-7976	4	9	:	:	PUNCT
easat-7976	4	10	a	a	DET
easat-7976	4	11	comparative	comparative	ADJ
easat-7976	4	12	study	study	NOUN
easat-7976	4	13	of	of	ADP
easat-7976	4	14	classification	classification	NOUN
easat-7976	4	15	and	and	CCONJ
easat-7976	4	16	regression	regression	NOUN
easat-7976	4	17	approaches	approach	NOUN
easat-7976	4	18	ahmed	ahmed	PROPN
easat-7976	4	19	ali	ali	PROPN
easat-7976	4	20	didi1	didi1	PROPN
easat-7976	4	21	*	*	PROPN
easat-7976	4	22	,	,	PUNCT
easat-7976	4	23	fethi	fethi	ADJ
easat-7976	4	24	bereksi	bereksi	NOUN
easat-7976	4	25	reguig2	reguig2	NOUN
easat-7976	4	26	1,2biomedical	1,2biomedical	ADJ
easat-7976	4	27	engineering	engineering	NOUN
easat-7976	4	28	research	research	NOUN
easat-7976	4	29	laboratory	laboratory	NOUN
easat-7976	4	30	,	,	PUNCT
easat-7976	4	31	university	university	NOUN
easat-7976	4	32	of	of	ADP
easat-7976	4	33	tlemcen	tlemcen	PROPN
easat-7976	4	34	,	,	PUNCT
easat-7976	4	35	algeria	algeria	PROPN
easat-7976	4	36	;	;	PUNCT
easat-7976	4	37	ahmedali.didi@univ-tlemcen.dz	ahmedali.didi@univ-tlemcen.dz	PROPN
easat-7976	4	38	(	(	PUNCT
easat-7976	4	39	a.a.d	a.a.d	NOUN
easat-7976	4	40	.	.	PUNCT
easat-7976	4	41	)	)	PUNCT
easat-7976	5	1	fethi.bereksi-reguig@univ-tlemcen.dz	fethi.bereksi-reguig@univ-tlemcen.dz	PROPN
easat-7976	5	2	(	(	PUNCT
easat-7976	5	3	f.b.r	f.b.r	PROPN
easat-7976	5	4	.	.	PUNCT
easat-7976	5	5	)	)	PUNCT
easat-7976	5	6	.	.	PUNCT
easat-7976	6	1	abstract	abstract	ADJ
easat-7976	6	2	:	:	PUNCT
easat-7976	6	3	identifying	identify	VERB
easat-7976	6	4	local	local	ADJ
easat-7976	6	5	muscle	muscle	NOUN
easat-7976	6	6	fatigue	fatigue	NOUN
easat-7976	6	7	phases	phase	NOUN
easat-7976	6	8	through	through	ADP
easat-7976	6	9	surface	surface	NOUN
easat-7976	6	10	electromyography	electromyography	NOUN
easat-7976	6	11	(	(	PUNCT
easat-7976	6	12	semg	semg	NOUN
easat-7976	6	13	)	)	PUNCT
easat-7976	6	14	is	be	AUX
easat-7976	6	15	essential	essential	ADJ
easat-7976	6	16	for	for	ADP
easat-7976	6	17	developing	develop	VERB
easat-7976	6	18	real	real	ADJ
easat-7976	6	19	-	-	PUNCT
easat-7976	6	20	time	time	NOUN
easat-7976	6	21	,	,	PUNCT
easat-7976	6	22	non	non	ADJ
easat-7976	6	23	-	-	ADJ
easat-7976	6	24	invasive	invasive	ADJ
easat-7976	6	25	monitoring	monitoring	NOUN
easat-7976	6	26	systems	system	NOUN
easat-7976	6	27	.	.	PUNCT
easat-7976	7	1	this	this	DET
easat-7976	7	2	study	study	NOUN
easat-7976	7	3	compares	compare	VERB
easat-7976	7	4	two	two	NUM
easat-7976	7	5	modeling	modeling	NOUN
easat-7976	7	6	strategies	strategy	NOUN
easat-7976	7	7	—	—	PUNCT
easat-7976	7	8	classification	classification	NOUN
easat-7976	7	9	and	and	CCONJ
easat-7976	7	10	regression	regression	NOUN
easat-7976	7	11	—	—	PUNCT
easat-7976	7	12	for	for	ADP
easat-7976	7	13	detecting	detect	VERB
easat-7976	7	14	three	three	NUM
easat-7976	7	15	fatigue	fatigue	NOUN
easat-7976	7	16	phases	phase	NOUN
easat-7976	7	17	(	(	PUNCT
easat-7976	7	18	non	non	ADJ
easat-7976	7	19	-	-	ADJ
easat-7976	7	20	fatigue	fatigue	ADJ
easat-7976	7	21	,	,	PUNCT
easat-7976	7	22	transition	transition	NOUN
easat-7976	7	23	,	,	PUNCT
easat-7976	7	24	fatigue	fatigue	NOUN
easat-7976	7	25	)	)	PUNCT
easat-7976	7	26	using	use	VERB
easat-7976	7	27	semg	semg	NOUN
easat-7976	7	28	signals	signal	NOUN
easat-7976	7	29	alone	alone	ADV
easat-7976	7	30	.	.	PUNCT
easat-7976	8	1	data	datum	NOUN
easat-7976	8	2	were	be	AUX
easat-7976	8	3	collected	collect	VERB
easat-7976	8	4	during	during	ADP
easat-7976	8	5	sustained	sustained	ADJ
easat-7976	8	6	handgrip	handgrip	NOUN
easat-7976	8	7	tasks	task	NOUN
easat-7976	8	8	from	from	ADP
easat-7976	8	9	healthy	healthy	ADJ
easat-7976	8	10	subjects	subject	NOUN
easat-7976	8	11	,	,	PUNCT
easat-7976	8	12	and	and	CCONJ
easat-7976	8	13	eleven	eleven	NUM
easat-7976	8	14	emg	emg	NOUN
easat-7976	8	15	features	feature	NOUN
easat-7976	8	16	were	be	AUX
easat-7976	8	17	extracted	extract	VERB
easat-7976	8	18	.	.	PUNCT
easat-7976	9	1	labels	label	NOUN
easat-7976	9	2	were	be	AUX
easat-7976	9	3	assigned	assign	VERB
easat-7976	9	4	based	base	VERB
easat-7976	9	5	on	on	ADP
easat-7976	9	6	observed	observed	ADJ
easat-7976	9	7	force	force	NOUN
easat-7976	9	8	decline	decline	NOUN
easat-7976	9	9	thresholds	threshold	NOUN
easat-7976	9	10	:	:	PUNCT
easat-7976	9	11	upper	upper	ADJ
easat-7976	9	12	than	than	ADP
easat-7976	9	13	90	90	NUM
easat-7976	9	14	%	%	NOUN
easat-7976	9	15	,	,	PUNCT
easat-7976	9	16	between	between	ADP
easat-7976	9	17	70–90	70–90	NUM
easat-7976	9	18	%	%	NOUN
easat-7976	9	19	and	and	CCONJ
easat-7976	9	20	lower	low	ADJ
easat-7976	9	21	than	than	ADP
easat-7976	9	22	70	70	NUM
easat-7976	9	23	%	%	NOUN
easat-7976	9	24	of	of	ADP
easat-7976	9	25	maximum	maximum	ADJ
easat-7976	9	26	voluntary	voluntary	ADJ
easat-7976	9	27	contraction	contraction	NOUN
easat-7976	9	28	(	(	PUNCT
easat-7976	9	29	mvc	mvc	NOUN
easat-7976	9	30	)	)	PUNCT
easat-7976	9	31	,	,	PUNCT
easat-7976	9	32	serving	serve	VERB
easat-7976	9	33	as	as	ADP
easat-7976	9	34	ground	ground	NOUN
easat-7976	9	35	truth	truth	NOUN
easat-7976	9	36	during	during	ADP
easat-7976	9	37	training	training	NOUN
easat-7976	9	38	.	.	PUNCT
easat-7976	10	1	three	three	NUM
easat-7976	10	2	classification	classification	NOUN
easat-7976	10	3	models	model	NOUN
easat-7976	10	4	:	:	PUNCT
easat-7976	10	5	svm	svm	PROPN
easat-7976	10	6	(	(	PUNCT
easat-7976	10	7	support	support	NOUN
easat-7976	10	8	vector	vector	NOUN
easat-7976	10	9	machine	machine	NOUN
easat-7976	10	10	)	)	PUNCT
easat-7976	10	11	,	,	PUNCT
easat-7976	10	12	lda	lda	PROPN
easat-7976	10	13	(	(	PUNCT
easat-7976	10	14	linear	linear	PROPN
easat-7976	10	15	discriminant	discriminant	ADJ
easat-7976	10	16	analysis	analysis	NOUN
easat-7976	10	17	)	)	PUNCT
easat-7976	10	18	,	,	PUNCT
easat-7976	10	19	qda	qda	NOUN
easat-7976	10	20	(	(	PUNCT
easat-7976	10	21	quadratic	quadratic	ADJ
easat-7976	10	22	discriminant	discriminant	ADJ
easat-7976	10	23	analysis	analysis	NOUN
easat-7976	10	24	)	)	PUNCT
easat-7976	10	25	and	and	CCONJ
easat-7976	10	26	a	a	DET
easat-7976	10	27	multiple	multiple	ADJ
easat-7976	10	28	linear	linear	ADJ
easat-7976	10	29	regression	regression	NOUN
easat-7976	10	30	(	(	PUNCT
easat-7976	10	31	mlr	mlr	NOUN
easat-7976	10	32	)	)	PUNCT
easat-7976	10	33	model	model	NOUN
easat-7976	10	34	were	be	AUX
easat-7976	10	35	trained	train	VERB
easat-7976	10	36	and	and	CCONJ
easat-7976	10	37	tested	test	VERB
easat-7976	10	38	.	.	PUNCT
easat-7976	11	1	with	with	ADP
easat-7976	11	2	classifiers	classifier	NOUN
easat-7976	11	3	,	,	PUNCT
easat-7976	11	4	qda	qda	PROPN
easat-7976	11	5	yielded	yield	VERB
easat-7976	11	6	the	the	DET
easat-7976	11	7	highest	high	ADJ
easat-7976	11	8	accuracy	accuracy	NOUN
easat-7976	11	9	of	of	ADP
easat-7976	11	10	82	82	NUM
easat-7976	11	11	%	%	NOUN
easat-7976	11	12	and	and	CCONJ
easat-7976	11	13	the	the	DET
easat-7976	11	14	most	most	ADV
easat-7976	11	15	consistent	consistent	ADJ
easat-7976	11	16	phase	phase	NOUN
easat-7976	11	17	mapping	mapping	NOUN
easat-7976	11	18	.	.	PUNCT
easat-7976	12	1	however	however	ADV
easat-7976	12	2	,	,	PUNCT
easat-7976	12	3	mlr	mlr	PROPN
easat-7976	12	4	achieved	achieve	VERB
easat-7976	12	5	higher	high	ADJ
easat-7976	12	6	performance	performance	NOUN
easat-7976	12	7	in	in	ADP
easat-7976	12	8	reconstructing	reconstruct	VERB
easat-7976	12	9	continuous	continuous	ADJ
easat-7976	12	10	force	force	NOUN
easat-7976	12	11	output	output	NOUN
easat-7976	12	12	with	with	ADP
easat-7976	12	13	r	r	NOUN
easat-7976	12	14	=	=	SYM
easat-7976	12	15	0.96	0.96	NUM
easat-7976	12	16	,	,	PUNCT
easat-7976	12	17	enabling	enable	VERB
easat-7976	12	18	smoother	smooth	ADJ
easat-7976	12	19	and	and	CCONJ
easat-7976	12	20	more	more	ADV
easat-7976	12	21	physiologically	physiologically	ADV
easat-7976	12	22	realistic	realistic	ADJ
easat-7976	12	23	phase	phase	NOUN
easat-7976	12	24	segmentation	segmentation	NOUN
easat-7976	12	25	.	.	PUNCT
easat-7976	13	1	visual	visual	ADJ
easat-7976	13	2	comparisons	comparison	NOUN
easat-7976	13	3	showed	show	VERB
easat-7976	13	4	that	that	SCONJ
easat-7976	13	5	classification	classification	NOUN
easat-7976	13	6	outputs	output	NOUN
easat-7976	13	7	tended	tend	VERB
easat-7976	13	8	to	to	PART
easat-7976	13	9	be	be	AUX
easat-7976	13	10	fragmented	fragment	VERB
easat-7976	13	11	,	,	PUNCT
easat-7976	13	12	particularly	particularly	ADV
easat-7976	13	13	in	in	ADP
easat-7976	13	14	the	the	DET
easat-7976	13	15	transition	transition	NOUN
easat-7976	13	16	phase	phase	NOUN
easat-7976	13	17	while	while	SCONJ
easat-7976	13	18	regression	regression	NOUN
easat-7976	13	19	maintained	maintain	VERB
easat-7976	13	20	temporal	temporal	ADJ
easat-7976	13	21	coherence	coherence	NOUN
easat-7976	13	22	.	.	PUNCT
easat-7976	14	1	these	these	PRON
easat-7976	14	2	results	result	VERB
easat-7976	14	3	research	research	NOUN
easat-7976	14	4	show	show	NOUN
easat-7976	14	5	that	that	SCONJ
easat-7976	14	6	regression	regression	NOUN
easat-7976	14	7	provides	provide	VERB
easat-7976	14	8	a	a	DET
easat-7976	14	9	more	more	ADV
easat-7976	14	10	robust	robust	ADJ
easat-7976	14	11	and	and	CCONJ
easat-7976	14	12	interpretable	interpretable	ADJ
easat-7976	14	13	framework	framework	NOUN
easat-7976	14	14	for	for	ADP
easat-7976	14	15	modeling	model	VERB
easat-7976	14	16	fatigue	fatigue	NOUN
easat-7976	14	17	progression	progression	NOUN
easat-7976	14	18	from	from	ADP
easat-7976	14	19	emg	emg	NOUN
easat-7976	14	20	signals	signal	NOUN
easat-7976	14	21	,	,	PUNCT
easat-7976	14	22	although	although	SCONJ
easat-7976	14	23	classification	classification	NOUN
easat-7976	14	24	models	model	NOUN
easat-7976	14	25	may	may	AUX
easat-7976	14	26	still	still	ADV
easat-7976	14	27	be	be	AUX
easat-7976	14	28	useful	useful	ADJ
easat-7976	14	29	in	in	ADP
easat-7976	14	30	applications	application	NOUN
easat-7976	14	31	requiring	require	VERB
easat-7976	14	32	discrete	discrete	ADJ
easat-7976	14	33	outputs	output	NOUN
easat-7976	14	34	.	.	PUNCT
easat-7976	15	1	keywords	keyword	NOUN
easat-7976	15	2	:	:	PUNCT
easat-7976	15	3	classification	classification	NOUN
easat-7976	15	4	,	,	PUNCT
easat-7976	15	5	multivariate	multivariate	NOUN
easat-7976	15	6	linear	linear	PROPN
easat-7976	15	7	regression	regression	NOUN
easat-7976	15	8	,	,	PUNCT
easat-7976	15	9	predictive	predictive	ADJ
easat-7976	15	10	modeling	modeling	NOUN
easat-7976	15	11	,	,	PUNCT
easat-7976	15	12	signal	signal	NOUN
easat-7976	15	13	processing	processing	NOUN
easat-7976	15	14	,	,	PUNCT
easat-7976	15	15	surface	surface	NOUN
easat-7976	15	16	electromyography	electromyography	NOUN
easat-7976	15	17	(	(	PUNCT
easat-7976	15	18	semg	semg	NOUN
easat-7976	15	19	)	)	PUNCT
easat-7976	15	20	.	.	PUNCT
easat-7976	16	1	1	1	X
easat-7976	16	2	.	.	X
easat-7976	16	3	introduction	introduction	NOUN
easat-7976	16	4	muscle	muscle	NOUN
easat-7976	16	5	fatigue	fatigue	NOUN
easat-7976	16	6	,	,	PUNCT
easat-7976	16	7	that	that	PRON
easat-7976	16	8	transient	transient	VERB
easat-7976	16	9	waning	wane	VERB
easat-7976	16	10	of	of	ADP
easat-7976	16	11	a	a	DET
easat-7976	16	12	muscle	muscle	NOUN
easat-7976	16	13	’s	’s	PART
easat-7976	16	14	capacity	capacity	NOUN
easat-7976	16	15	to	to	PART
easat-7976	16	16	summon	summon	VERB
easat-7976	16	17	force	force	NOUN
easat-7976	16	18	or	or	CCONJ
easat-7976	16	19	power	power	NOUN
easat-7976	16	20	amid	amid	ADP
easat-7976	16	21	voluntary	voluntary	ADJ
easat-7976	16	22	striving	striving	NOUN
easat-7976	16	23	,	,	PUNCT
easat-7976	16	24	emerges	emerge	VERB
easat-7976	16	25	not	not	PART
easat-7976	16	26	from	from	ADP
easat-7976	16	27	one	one	NUM
easat-7976	16	28	isolated	isolated	ADJ
easat-7976	16	29	cause	cause	NOUN
easat-7976	16	30	but	but	CCONJ
easat-7976	16	31	from	from	ADP
easat-7976	16	32	a	a	DET
easat-7976	16	33	tangled	tangled	ADJ
easat-7976	16	34	weave	weave	NOUN
easat-7976	16	35	of	of	ADP
easat-7976	16	36	influences	influence	NOUN
easat-7976	16	37	—	—	PUNCT
easat-7976	16	38	some	some	DET
easat-7976	16	39	physiological	physiological	ADJ
easat-7976	16	40	,	,	PUNCT
easat-7976	16	41	others	other	NOUN
easat-7976	16	42	psychological	psychological	ADJ
easat-7976	16	43	—	—	PUNCT
easat-7976	16	44	that	that	DET
easat-7976	16	45	shape	shape	NOUN
easat-7976	16	46	the	the	DET
easat-7976	16	47	neuromuscular	neuromuscular	ADJ
easat-7976	16	48	system	system	NOUN
easat-7976	16	49	’s	’s	PART
easat-7976	16	50	output	output	NOUN
easat-7976	16	51	and	and	CCONJ
easat-7976	16	52	one	one	NOUN
easat-7976	16	53	’s	’s	PART
easat-7976	16	54	sense	sense	NOUN
easat-7976	16	55	of	of	ADP
easat-7976	16	56	exertion	exertion	NOUN
easat-7976	16	57	.	.	PUNCT
easat-7976	17	1	the	the	DET
easat-7976	17	2	task	task	NOUN
easat-7976	17	3	’s	’s	PART
easat-7976	17	4	demands	demand	NOUN
easat-7976	17	5	mold	mold	NOUN
easat-7976	17	6	this	this	DET
easat-7976	17	7	interplay	interplay	NOUN
easat-7976	17	8	,	,	PUNCT
easat-7976	17	9	where	where	SCONJ
easat-7976	17	10	constraints	constraint	NOUN
easat-7976	17	11	within	within	ADP
easat-7976	17	12	the	the	DET
easat-7976	17	13	body	body	NOUN
easat-7976	17	14	meet	meet	VERB
easat-7976	17	15	perceptions	perception	NOUN
easat-7976	17	16	in	in	ADP
easat-7976	17	17	the	the	DET
easat-7976	17	18	mind	mind	NOUN
easat-7976	17	19	.	.	PUNCT
easat-7976	18	1	such	such	DET
easat-7976	18	2	a	a	DET
easat-7976	18	3	dual	dual	ADJ
easat-7976	18	4	lens	len	NOUN
easat-7976	18	5	,	,	PUNCT
easat-7976	18	6	encompassing	encompass	VERB
easat-7976	18	7	what	what	PRON
easat-7976	18	8	is	be	AUX
easat-7976	18	9	felt	feel	VERB
easat-7976	18	10	and	and	CCONJ
easat-7976	18	11	what	what	PRON
easat-7976	18	12	is	be	AUX
easat-7976	18	13	performed	perform	VERB
easat-7976	18	14	,	,	PUNCT
easat-7976	18	15	affords	afford	VERB
easat-7976	18	16	a	a	DET
easat-7976	18	17	fuller	full	ADJ
easat-7976	18	18	grasp	grasp	NOUN
easat-7976	18	19	of	of	ADP
easat-7976	18	20	fatigue	fatigue	NOUN
easat-7976	18	21	’s	’s	PART
easat-7976	18	22	presence	presence	NOUN
easat-7976	18	23	in	in	ADP
easat-7976	18	24	real	real	ADJ
easat-7976	18	25	-	-	PUNCT
easat-7976	18	26	world	world	NOUN
easat-7976	18	27	endeavours	endeavours	X
easat-7976	19	1	[	[	X
easat-7976	19	2	1	1	NUM
easat-7976	19	3	]	]	PUNCT
easat-7976	19	4	.	.	PUNCT
easat-7976	20	1	surface	surface	NOUN
easat-7976	20	2	electromyography	electromyography	NOUN
easat-7976	20	3	(	(	PUNCT
easat-7976	20	4	semg	semg	NOUN
easat-7976	20	5	)	)	PUNCT
easat-7976	20	6	is	be	AUX
easat-7976	20	7	a	a	DET
easat-7976	20	8	non	non	ADJ
easat-7976	20	9	-	-	ADJ
easat-7976	20	10	invasive	invasive	ADJ
easat-7976	20	11	method	method	NOUN
easat-7976	20	12	which	which	PRON
easat-7976	20	13	gives	give	VERB
easat-7976	20	14	the	the	DET
easat-7976	20	15	electrical	electrical	ADJ
easat-7976	20	16	potentials	potential	NOUN
easat-7976	20	17	information	information	NOUN
easat-7976	20	18	generated	generate	VERB
easat-7976	20	19	by	by	ADP
easat-7976	20	20	muscle	muscle	NOUN
easat-7976	20	21	fibres	fibre	NOUN
easat-7976	20	22	during	during	ADP
easat-7976	20	23	voluntary	voluntary	ADJ
easat-7976	20	24	contraction	contraction	NOUN
easat-7976	20	25	.	.	PUNCT
easat-7976	21	1	it	it	PRON
easat-7976	21	2	has	have	AUX
easat-7976	21	3	been	be	AUX
easat-7976	21	4	widely	widely	ADV
easat-7976	21	5	adopted	adopt	VERB
easat-7976	21	6	for	for	ADP
easat-7976	21	7	monitoring	monitor	VERB
easat-7976	21	8	muscle	muscle	NOUN
easat-7976	21	9	performance	performance	NOUN
easat-7976	21	10	over	over	ADP
easat-7976	21	11	time	time	NOUN
easat-7976	21	12	since	since	SCONJ
easat-7976	21	13	it	it	PRON
easat-7976	21	14	provides	provide	VERB
easat-7976	21	15	valuable	valuable	ADJ
easat-7976	21	16	insight	insight	NOUN
easat-7976	21	17	into	into	ADP
easat-7976	21	18	neuromuscular	neuromuscular	ADJ
easat-7976	21	19	activity	activity	NOUN
easat-7976	21	20	.	.	PUNCT
easat-7976	22	1	as	as	SCONJ
easat-7976	22	2	fatigue	fatigue	NOUN
easat-7976	22	3	develops	develop	VERB
easat-7976	22	4	,	,	PUNCT
easat-7976	22	5	the	the	DET
easat-7976	22	6	semg	semg	NOUN
easat-7976	22	7	signal	signal	NOUN
easat-7976	22	8	reflects	reflect	VERB
easat-7976	22	9	corresponding	correspond	VERB
easat-7976	22	10	physiological	physiological	ADJ
easat-7976	22	11	changes	change	NOUN
easat-7976	22	12	,	,	PUNCT
easat-7976	22	13	making	make	VERB
easat-7976	22	14	it	it	PRON
easat-7976	22	15	a	a	DET
easat-7976	22	16	useful	useful	ADJ
easat-7976	22	17	tool	tool	NOUN
easat-7976	22	18	for	for	ADP
easat-7976	22	19	tracking	track	VERB
easat-7976	22	20	fatigue	fatigue	NOUN
easat-7976	22	21	progression	progression	NOUN
easat-7976	22	22	in	in	ADP
easat-7976	22	23	both	both	CCONJ
easat-7976	22	24	clinical	clinical	ADJ
easat-7976	22	25	and	and	CCONJ
easat-7976	22	26	experimental	experimental	ADJ
easat-7976	22	27	settings	setting	NOUN
easat-7976	22	28	[	[	X
easat-7976	22	29	2	2	NUM
easat-7976	22	30	]	]	PUNCT
easat-7976	22	31	.	.	PUNCT
easat-7976	23	1	have	have	AUX
easat-7976	23	2	reported	report	VERB
easat-7976	23	3	that	that	SCONJ
easat-7976	23	4	during	during	ADP
easat-7976	23	5	isometric	isometric	ADJ
easat-7976	23	6	contraction	contraction	NOUN
easat-7976	23	7	,	,	PUNCT
easat-7976	23	8	the	the	DET
easat-7976	23	9	emg	emg	NOUN
easat-7976	23	10	signal	signal	NOUN
easat-7976	23	11	reflects	reflect	VERB
easat-7976	23	12	muscle	muscle	NOUN
easat-7976	23	13	activation	activation	NOUN
easat-7976	23	14	and	and	CCONJ
easat-7976	23	15	provides	provide	VERB
easat-7976	23	16	an	an	DET
easat-7976	23	17	indirect	indirect	ADJ
easat-7976	23	18	but	but	CCONJ
easat-7976	23	19	reliable	reliable	ADJ
easat-7976	23	20	estimate	estimate	NOUN
easat-7976	23	21	of	of	ADP
easat-7976	23	22	neuromuscular	neuromuscular	ADJ
easat-7976	23	23	activity	activity	NOUN
easat-7976	23	24	during	during	ADP
easat-7976	23	25	maximal	maximal	ADJ
easat-7976	23	26	voluntary	voluntary	ADJ
easat-7976	23	27	contractions	contraction	NOUN
easat-7976	23	28	,	,	PUNCT
easat-7976	23	29	indicating	indicate	VERB
easat-7976	23	30	the	the	DET
easat-7976	23	31	motor	motor	NOUN
easat-7976	23	32	unit	unit	NOUN
easat-7976	23	33	recruitment	recruitment	NOUN
easat-7976	23	34	’s	’s	PART
easat-7976	23	35	level	level	NOUN
easat-7976	23	36	and	and	CCONJ
easat-7976	23	37	force	force	NOUN
easat-7976	23	38	production	production	NOUN
easat-7976	23	39	.	.	PUNCT
easat-7976	24	1	different	different	ADJ
easat-7976	24	2	semg	semg	NOUN
easat-7976	24	3	features	feature	NOUN
easat-7976	24	4	have	have	AUX
easat-7976	24	5	been	be	AUX
easat-7976	24	6	described	describe	VERB
easat-7976	24	7	and	and	CCONJ
easat-7976	24	8	used	use	VERB
easat-7976	24	9	in	in	ADP
easat-7976	24	10	the	the	DET
easat-7976	24	11	domain	domain	NOUN
easat-7976	24	12	literature	literature	NOUN
easat-7976	24	13	to	to	PART
easat-7976	24	14	quantify	quantify	VERB
easat-7976	24	15	fatiguerelated	fatiguerelated	ADJ
easat-7976	24	16	changes	change	NOUN
easat-7976	24	17	,	,	PUNCT
easat-7976	24	18	each	each	PRON
easat-7976	24	19	reflecting	reflect	VERB
easat-7976	24	20	specific	specific	ADJ
easat-7976	24	21	aspects	aspect	NOUN
easat-7976	24	22	of	of	ADP
easat-7976	24	23	neuromuscular	neuromuscular	ADJ
easat-7976	24	24	behavior	behavior	NOUN
easat-7976	24	25	.	.	PUNCT
easat-7976	25	1	in	in	ADP
easat-7976	25	2	the	the	DET
easat-7976	25	3	time	time	NOUN
easat-7976	25	4	domain	domain	NOUN
easat-7976	25	5	,	,	PUNCT
easat-7976	25	6	simple	simple	ADJ
easat-7976	25	7	https://orcid.org/0009-0002-6578-219x	https://orcid.org/0009-0002-6578-219x	NOUN
easat-7976	25	8	https://orcid.org/0000-0002-5788-6055	https://orcid.org/0000-0002-5788-6055	NOUN
easat-7976	25	9	926	926	NUM
easat-7976	25	10	edelweiss	edelweiss	PROPN
easat-7976	25	11	applied	apply	VERB
easat-7976	25	12	science	science	NOUN
easat-7976	25	13	and	and	CCONJ
easat-7976	25	14	technology	technology	NOUN
easat-7976	25	15	issn	issn	PROPN
easat-7976	25	16	:	:	PUNCT
easat-7976	25	17	2576	2576	NUM
easat-7976	25	18	-	-	SYM
easat-7976	25	19	8484	8484	NUM
easat-7976	25	20	vol	vol	NOUN
easat-7976	25	21	.	.	PROPN
easat-7976	25	22	9	9	NUM
easat-7976	25	23	,	,	PUNCT
easat-7976	25	24	no	no	INTJ
easat-7976	25	25	.	.	NOUN
easat-7976	25	26	6	6	NUM
easat-7976	25	27	:	:	SYM
easat-7976	25	28	925	925	NUM
easat-7976	25	29	-	-	SYM
easat-7976	25	30	938	938	NUM
easat-7976	25	31	,	,	PUNCT
easat-7976	25	32	2025	2025	NUM
easat-7976	25	33	doi	doi	NOUN
easat-7976	25	34	:	:	PUNCT
easat-7976	25	35	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	25	36	©	©	PROPN
easat-7976	25	37	2025	2025	NUM
easat-7976	25	38	by	by	ADP
easat-7976	25	39	the	the	DET
easat-7976	25	40	authors	author	NOUN
easat-7976	25	41	;	;	PUNCT
easat-7976	25	42	licensee	licensee	PROPN
easat-7976	25	43	learning	learning	NOUN
easat-7976	25	44	gate	gate	NOUN
easat-7976	25	45	amplitude	amplitude	NOUN
easat-7976	25	46	-	-	PUNCT
easat-7976	25	47	based	base	VERB
easat-7976	25	48	descriptors	descriptor	NOUN
easat-7976	25	49	for	for	ADP
easat-7976	25	50	example	example	NOUN
easat-7976	25	51	as	as	ADP
easat-7976	25	52	mean	mean	ADJ
easat-7976	25	53	absolute	absolute	ADJ
easat-7976	25	54	value	value	NOUN
easat-7976	25	55	(	(	PUNCT
easat-7976	25	56	mav	mav	PROPN
easat-7976	25	57	)	)	PUNCT
easat-7976	25	58	,	,	PUNCT
easat-7976	25	59	root	root	NOUN
easat-7976	25	60	mean	mean	NOUN
easat-7976	25	61	square	square	PROPN
easat-7976	25	62	(	(	PUNCT
easat-7976	25	63	rms	rm	NOUN
easat-7976	25	64	)	)	PUNCT
easat-7976	25	65	,	,	PUNCT
easat-7976	25	66	integrated	integrated	ADJ
easat-7976	25	67	emg	emg	NOUN
easat-7976	25	68	(	(	PUNCT
easat-7976	25	69	iemg	iemg	NOUN
easat-7976	25	70	)	)	PUNCT
easat-7976	25	71	[	[	X
easat-7976	25	72	3	3	X
easat-7976	25	73	]	]	PUNCT
easat-7976	25	74	and	and	CCONJ
easat-7976	25	75	variance	variance	NOUN
easat-7976	25	76	have	have	AUX
easat-7976	25	77	demonstrated	demonstrate	VERB
easat-7976	25	78	effectiveness	effectiveness	NOUN
easat-7976	25	79	in	in	ADP
easat-7976	25	80	characterizing	characterize	VERB
easat-7976	25	81	muscle	muscle	NOUN
easat-7976	25	82	activation	activation	NOUN
easat-7976	25	83	during	during	ADP
easat-7976	25	84	sustained	sustained	ADJ
easat-7976	25	85	effort	effort	NOUN
easat-7976	25	86	.	.	PUNCT
easat-7976	26	1	waveform	waveform	VERB
easat-7976	26	2	length	length	NOUN
easat-7976	26	3	and	and	CCONJ
easat-7976	26	4	amplitude	amplitude	NOUN
easat-7976	26	5	range	range	NOUN
easat-7976	26	6	have	have	AUX
easat-7976	26	7	also	also	ADV
easat-7976	26	8	been	be	AUX
easat-7976	26	9	shown	show	VERB
easat-7976	26	10	to	to	PART
easat-7976	26	11	capture	capture	VERB
easat-7976	26	12	temporal	temporal	ADJ
easat-7976	26	13	complexity	complexity	NOUN
easat-7976	26	14	and	and	CCONJ
easat-7976	26	15	variability	variability	NOUN
easat-7976	26	16	in	in	ADP
easat-7976	26	17	the	the	DET
easat-7976	26	18	signal	signal	NOUN
easat-7976	26	19	,	,	PUNCT
easat-7976	26	20	making	make	VERB
easat-7976	26	21	them	they	PRON
easat-7976	26	22	suitable	suitable	ADJ
easat-7976	26	23	indicators	indicator	NOUN
easat-7976	26	24	of	of	ADP
easat-7976	26	25	neuromuscular	neuromuscular	ADJ
easat-7976	26	26	efficiency	efficiency	NOUN
easat-7976	26	27	and	and	CCONJ
easat-7976	26	28	fatigue	fatigue	NOUN
easat-7976	26	29	progression	progression	NOUN
easat-7976	26	30	in	in	ADP
easat-7976	26	31	time	time	NOUN
easat-7976	26	32	-	-	PUNCT
easat-7976	26	33	domain	domain	NOUN
easat-7976	26	34	analysis	analysis	NOUN
easat-7976	26	35	[	[	X
easat-7976	26	36	4	4	NUM
easat-7976	26	37	,	,	PUNCT
easat-7976	26	38	5	5	NUM
easat-7976	26	39	]	]	PUNCT
easat-7976	26	40	.	.	PUNCT
easat-7976	27	1	additionally	additionally	ADV
easat-7976	27	2	,	,	PUNCT
easat-7976	27	3	energybased	energybase	VERB
easat-7976	27	4	operators	operator	NOUN
easat-7976	27	5	such	such	ADJ
easat-7976	27	6	as	as	ADP
easat-7976	27	7	the	the	DET
easat-7976	27	8	teager	teager	NOUN
easat-7976	27	9	–	–	PUNCT
easat-7976	27	10	kaiser	kaiser	NOUN
easat-7976	27	11	energy	energy	NOUN
easat-7976	27	12	operator	operator	NOUN
easat-7976	27	13	have	have	AUX
easat-7976	27	14	been	be	AUX
easat-7976	27	15	shown	show	VERB
easat-7976	27	16	to	to	PART
easat-7976	27	17	improve	improve	VERB
easat-7976	27	18	sensitivity	sensitivity	NOUN
easat-7976	27	19	to	to	ADP
easat-7976	27	20	subtle	subtle	ADJ
easat-7976	27	21	signal	signal	ADJ
easat-7976	27	22	modulations	modulation	NOUN
easat-7976	27	23	during	during	ADP
easat-7976	27	24	muscle	muscle	NOUN
easat-7976	27	25	activation	activation	NOUN
easat-7976	27	26	,	,	PUNCT
easat-7976	27	27	making	make	VERB
easat-7976	27	28	them	they	PRON
easat-7976	27	29	valuable	valuable	ADJ
easat-7976	27	30	for	for	ADP
easat-7976	27	31	enhancing	enhance	VERB
easat-7976	27	32	fatigue	fatigue	NOUN
easat-7976	27	33	detection	detection	NOUN
easat-7976	27	34	in	in	ADP
easat-7976	27	35	the	the	DET
easat-7976	27	36	time	time	NOUN
easat-7976	27	37	domain	domain	NOUN
easat-7976	27	38	[	[	X
easat-7976	27	39	6	6	NUM
easat-7976	27	40	]	]	PUNCT
easat-7976	27	41	.	.	PUNCT
easat-7976	28	1	in	in	ADP
easat-7976	28	2	addition	addition	NOUN
easat-7976	28	3	to	to	ADP
easat-7976	28	4	temporal	temporal	ADJ
easat-7976	28	5	descriptors	descriptor	NOUN
easat-7976	28	6	,	,	PUNCT
easat-7976	28	7	time	time	NOUN
easat-7976	28	8	-	-	PUNCT
easat-7976	28	9	frequency	frequency	NOUN
easat-7976	28	10	features	feature	NOUN
easat-7976	28	11	have	have	AUX
easat-7976	28	12	been	be	AUX
easat-7976	28	13	proven	prove	VERB
easat-7976	28	14	useful	useful	ADJ
easat-7976	28	15	for	for	ADP
easat-7976	28	16	analysing	analyse	VERB
easat-7976	28	17	the	the	DET
easat-7976	28	18	non	non	ADJ
easat-7976	28	19	-	-	ADJ
easat-7976	28	20	stationary	stationary	ADJ
easat-7976	28	21	behaviour	behaviour	NOUN
easat-7976	28	22	of	of	ADP
easat-7976	28	23	emg	emg	NOUN
easat-7976	28	24	signals	signal	NOUN
easat-7976	28	25	.	.	PUNCT
easat-7976	29	1	techniques	technique	NOUN
easat-7976	29	2	as	as	ADP
easat-7976	29	3	for	for	ADP
easat-7976	29	4	example	example	NOUN
easat-7976	29	5	the	the	DET
easat-7976	29	6	wigner	wigner	NOUN
easat-7976	29	7	-	-	PUNCT
easat-7976	29	8	ville	ville	NOUN
easat-7976	29	9	distribution	distribution	NOUN
easat-7976	29	10	and	and	CCONJ
easat-7976	29	11	the	the	DET
easat-7976	29	12	s	s	NOUN
easat-7976	29	13	-	-	PUNCT
easat-7976	29	14	transform	transform	NOUN
easat-7976	29	15	allow	allow	VERB
easat-7976	29	16	for	for	ADP
easat-7976	29	17	localized	localized	ADJ
easat-7976	29	18	tracking	tracking	NOUN
easat-7976	29	19	of	of	ADP
easat-7976	29	20	spectral	spectral	ADJ
easat-7976	29	21	changes	change	NOUN
easat-7976	29	22	over	over	ADP
easat-7976	29	23	time	time	NOUN
easat-7976	29	24	,	,	PUNCT
easat-7976	29	25	offering	offer	VERB
easat-7976	29	26	insight	insight	NOUN
easat-7976	29	27	into	into	ADP
easat-7976	29	28	how	how	SCONJ
easat-7976	29	29	frequency	frequency	ADJ
easat-7976	29	30	components	component	NOUN
easat-7976	29	31	evolve	evolve	VERB
easat-7976	29	32	during	during	ADP
easat-7976	29	33	fatigue	fatigue	NOUN
easat-7976	29	34	[	[	X
easat-7976	29	35	7	7	NUM
easat-7976	29	36	,	,	PUNCT
easat-7976	29	37	8	8	NUM
easat-7976	29	38	]	]	PUNCT
easat-7976	29	39	.	.	PUNCT
easat-7976	30	1	complementing	complement	VERB
easat-7976	30	2	these	these	PRON
easat-7976	30	3	,	,	PUNCT
easat-7976	30	4	nonlinear	nonlinear	ADJ
easat-7976	30	5	descriptors	descriptor	NOUN
easat-7976	30	6	such	such	ADJ
easat-7976	30	7	as	as	ADP
easat-7976	30	8	shannon	shannon	PROPN
easat-7976	30	9	entropy	entropy	PROPN
easat-7976	30	10	and	and	CCONJ
easat-7976	30	11	hilbert	hilbert	PROPN
easat-7976	30	12	-	-	PUNCT
easat-7976	30	13	huang	huang	PROPN
easat-7976	30	14	-	-	PUNCT
easat-7976	30	15	based	base	VERB
easat-7976	30	16	variance	variance	NOUN
easat-7976	30	17	provide	provide	VERB
easat-7976	30	18	measures	measure	NOUN
easat-7976	30	19	of	of	ADP
easat-7976	30	20	signal	signal	ADJ
easat-7976	30	21	complexity	complexity	NOUN
easat-7976	30	22	and	and	CCONJ
easat-7976	30	23	irregularity	irregularity	NOUN
easat-7976	30	24	,	,	PUNCT
easat-7976	30	25	which	which	PRON
easat-7976	30	26	typically	typically	ADV
easat-7976	30	27	increase	increase	VERB
easat-7976	30	28	as	as	SCONJ
easat-7976	30	29	fatigue	fatigue	NOUN
easat-7976	30	30	develops	develop	VERB
easat-7976	30	31	[	[	X
easat-7976	30	32	9	9	NUM
easat-7976	30	33	,	,	PUNCT
easat-7976	30	34	10	10	NUM
easat-7976	30	35	]	]	PUNCT
easat-7976	30	36	.	.	PUNCT
easat-7976	31	1	together	together	ADV
easat-7976	31	2	,	,	PUNCT
easat-7976	31	3	when	when	SCONJ
easat-7976	31	4	used	use	VERB
easat-7976	31	5	collectively	collectively	ADV
easat-7976	31	6	,	,	PUNCT
easat-7976	31	7	these	these	DET
easat-7976	31	8	multi	multi	ADJ
easat-7976	31	9	-	-	ADJ
easat-7976	31	10	domain	domain	ADJ
easat-7976	31	11	features	feature	NOUN
easat-7976	31	12	offer	offer	VERB
easat-7976	31	13	a	a	DET
easat-7976	31	14	more	more	ADV
easat-7976	31	15	comprehensive	comprehensive	ADJ
easat-7976	31	16	understanding	understanding	NOUN
easat-7976	31	17	of	of	ADP
easat-7976	31	18	the	the	DET
easat-7976	31	19	physiological	physiological	ADJ
easat-7976	31	20	transitions	transition	NOUN
easat-7976	31	21	associated	associate	VERB
easat-7976	31	22	with	with	ADP
easat-7976	31	23	fatigue	fatigue	NOUN
easat-7976	31	24	.	.	PUNCT
easat-7976	32	1	these	these	PRON
easat-7976	32	2	have	have	AUX
easat-7976	32	3	been	be	AUX
easat-7976	32	4	widely	widely	ADV
easat-7976	32	5	used	use	VERB
easat-7976	32	6	in	in	ADP
easat-7976	32	7	emg	emg	NOUN
easat-7976	32	8	-	-	PUNCT
easat-7976	32	9	based	base	VERB
easat-7976	32	10	modelling	modelling	NOUN
easat-7976	32	11	frameworks	framework	NOUN
easat-7976	32	12	.	.	PUNCT
easat-7976	33	1	in	in	ADP
easat-7976	33	2	a	a	DET
easat-7976	33	3	reported	report	VERB
easat-7976	33	4	study	study	NOUN
easat-7976	33	5	,	,	PUNCT
easat-7976	33	6	atzori	atzori	PROPN
easat-7976	33	7	,	,	PUNCT
easat-7976	33	8	et	et	PROPN
easat-7976	33	9	al	al	PROPN
easat-7976	33	10	.	.	PUNCT
easat-7976	34	1	[	[	X
easat-7976	34	2	11	11	NUM
easat-7976	34	3	]	]	PUNCT
easat-7976	34	4	proposed	propose	VERB
easat-7976	34	5	a	a	DET
easat-7976	34	6	hybrid	hybrid	ADJ
easat-7976	34	7	framework	framework	NOUN
easat-7976	34	8	.	.	PUNCT
easat-7976	35	1	this	this	DET
easat-7976	35	2	framework	framework	NOUN
easat-7976	35	3	combines	combine	VERB
easat-7976	35	4	regression	regression	NOUN
easat-7976	35	5	and	and	CCONJ
easat-7976	35	6	classification	classification	NOUN
easat-7976	35	7	to	to	PART
easat-7976	35	8	ensure	ensure	VERB
easat-7976	35	9	simultaneous	simultaneous	ADJ
easat-7976	35	10	and	and	CCONJ
easat-7976	35	11	scaled	scale	VERB
easat-7976	35	12	force	force	NOUN
easat-7976	35	13	control	control	NOUN
easat-7976	35	14	at	at	ADP
easat-7976	35	15	the	the	DET
easat-7976	35	16	wrist	wrist	NOUN
easat-7976	35	17	using	use	VERB
easat-7976	35	18	emg	emg	NOUN
easat-7976	35	19	signals	signal	NOUN
easat-7976	35	20	.	.	PUNCT
easat-7976	36	1	their	their	PRON
easat-7976	36	2	method	method	NOUN
easat-7976	36	3	employs	employ	VERB
easat-7976	36	4	a	a	DET
easat-7976	36	5	multi	multi	ADJ
easat-7976	36	6	-	-	ADJ
easat-7976	36	7	kernel	kernel	ADJ
easat-7976	36	8	learning	learn	VERB
easat-7976	36	9	classifier	classifier	NOUN
easat-7976	36	10	to	to	PART
easat-7976	36	11	identify	identify	VERB
easat-7976	36	12	movement	movement	NOUN
easat-7976	36	13	classes	class	NOUN
easat-7976	36	14	,	,	PUNCT
easat-7976	36	15	followed	follow	VERB
easat-7976	36	16	by	by	ADP
easat-7976	36	17	class	class	NOUN
easat-7976	36	18	-	-	PUNCT
easat-7976	36	19	specific	specific	ADJ
easat-7976	36	20	neural	neural	ADJ
easat-7976	36	21	network	network	NOUN
easat-7976	36	22	regressors	regressor	NOUN
easat-7976	36	23	to	to	PART
easat-7976	36	24	estimate	estimate	VERB
easat-7976	36	25	the	the	DET
easat-7976	36	26	corresponding	correspond	VERB
easat-7976	36	27	force	force	NOUN
easat-7976	36	28	outputs	output	NOUN
easat-7976	36	29	.	.	PUNCT
easat-7976	37	1	this	this	DET
easat-7976	37	2	two	two	NUM
easat-7976	37	3	-	-	PUNCT
easat-7976	37	4	stage	stage	NOUN
easat-7976	37	5	approach	approach	NOUN
easat-7976	37	6	improved	improve	VERB
easat-7976	37	7	the	the	DET
easat-7976	37	8	accuracy	accuracy	NOUN
easat-7976	37	9	of	of	ADP
easat-7976	37	10	force	force	NOUN
easat-7976	37	11	prediction	prediction	NOUN
easat-7976	37	12	,	,	PUNCT
easat-7976	37	13	particularly	particularly	ADV
easat-7976	37	14	in	in	ADP
easat-7976	37	15	complex	complex	ADJ
easat-7976	37	16	degrees	degree	NOUN
easat-7976	37	17	of	of	ADP
easat-7976	37	18	freedom	freedom	NOUN
easat-7976	37	19	such	such	ADJ
easat-7976	37	20	as	as	ADP
easat-7976	37	21	pronation	pronation	NOUN
easat-7976	37	22	and	and	CCONJ
easat-7976	37	23	supination	supination	NOUN
easat-7976	37	24	.	.	PUNCT
easat-7976	38	1	isa	isa	NOUN
easat-7976	38	2	and	and	CCONJ
easat-7976	38	3	aris	aris	PROPN
easat-7976	39	1	[	[	X
easat-7976	39	2	12	12	NUM
easat-7976	39	3	]	]	PUNCT
easat-7976	39	4	employed	employ	VERB
easat-7976	39	5	genetic	genetic	ADJ
easat-7976	39	6	programming	programming	NOUN
easat-7976	39	7	(	(	PUNCT
easat-7976	39	8	gp	gp	NOUN
easat-7976	39	9	)	)	PUNCT
easat-7976	39	10	to	to	PART
easat-7976	39	11	assess	assess	VERB
easat-7976	39	12	localized	localize	VERB
easat-7976	39	13	muscular	muscular	ADJ
easat-7976	39	14	fatigue	fatigue	NOUN
easat-7976	39	15	during	during	ADP
easat-7976	39	16	isometric	isometric	ADJ
easat-7976	39	17	exercises	exercise	NOUN
easat-7976	39	18	using	use	VERB
easat-7976	39	19	surface	surface	NOUN
easat-7976	39	20	emg	emg	NOUN
easat-7976	39	21	measurements	measurement	NOUN
easat-7976	39	22	.	.	PUNCT
easat-7976	40	1	their	their	PRON
easat-7976	40	2	approach	approach	NOUN
easat-7976	40	3	distinguished	distinguish	VERB
easat-7976	40	4	between	between	ADP
easat-7976	40	5	nonfatigue	nonfatigue	PROPN
easat-7976	40	6	,	,	PUNCT
easat-7976	40	7	transition	transition	NOUN
easat-7976	40	8	-	-	PUNCT
easat-7976	40	9	to	to	ADP
easat-7976	40	10	-	-	PUNCT
easat-7976	40	11	fatigue	fatigue	NOUN
easat-7976	40	12	,	,	PUNCT
easat-7976	40	13	and	and	CCONJ
easat-7976	40	14	fatigue	fatigue	NOUN
easat-7976	40	15	phases	phase	NOUN
easat-7976	40	16	by	by	ADP
easat-7976	40	17	evolving	evolve	VERB
easat-7976	40	18	a	a	DET
easat-7976	40	19	population	population	NOUN
easat-7976	40	20	of	of	ADP
easat-7976	40	21	classifiers	classifier	NOUN
easat-7976	40	22	trained	train	VERB
easat-7976	40	23	on	on	ADP
easat-7976	40	24	statistical	statistical	ADJ
easat-7976	40	25	features	feature	NOUN
easat-7976	40	26	such	such	ADJ
easat-7976	40	27	as	as	ADP
easat-7976	40	28	rms	rm	NOUN
easat-7976	40	29	,	,	PUNCT
easat-7976	40	30	entropy	entropy	NOUN
easat-7976	40	31	,	,	PUNCT
easat-7976	40	32	kurtosis	kurtosis	NOUN
easat-7976	40	33	,	,	PUNCT
easat-7976	40	34	and	and	CCONJ
easat-7976	40	35	skewness	skewness	NOUN
easat-7976	40	36	.	.	PUNCT
easat-7976	41	1	of	of	ADP
easat-7976	41	2	particular	particular	ADJ
easat-7976	41	3	note	note	NOUN
easat-7976	41	4	,	,	PUNCT
easat-7976	41	5	the	the	DET
easat-7976	41	6	model	model	NOUN
easat-7976	41	7	's	's	PART
easat-7976	41	8	explicit	explicit	ADJ
easat-7976	41	9	identification	identification	NOUN
easat-7976	41	10	of	of	ADP
easat-7976	41	11	the	the	DET
easat-7976	41	12	transition	transition	NOUN
easat-7976	41	13	phase	phase	NOUN
easat-7976	41	14	underscores	underscore	VERB
easat-7976	41	15	the	the	DET
easat-7976	41	16	value	value	NOUN
easat-7976	41	17	of	of	ADP
easat-7976	41	18	interpretable	interpretable	ADJ
easat-7976	41	19	emg	emg	NOUN
easat-7976	41	20	models	model	NOUN
easat-7976	41	21	in	in	ADP
easat-7976	41	22	monitoring	monitor	VERB
easat-7976	41	23	fatigue	fatigue	NOUN
easat-7976	41	24	development	development	NOUN
easat-7976	41	25	,	,	PUNCT
easat-7976	41	26	and	and	CCONJ
easat-7976	41	27	,	,	PUNCT
easat-7976	41	28	without	without	ADP
easat-7976	41	29	requiring	require	VERB
easat-7976	41	30	force	force	NOUN
easat-7976	41	31	measurements	measurement	NOUN
easat-7976	41	32	,	,	PUNCT
easat-7976	41	33	revealed	reveal	VERB
easat-7976	41	34	promising	promise	VERB
easat-7976	41	35	classification	classification	NOUN
easat-7976	41	36	accuracy	accuracy	NOUN
easat-7976	41	37	across	across	ADP
easat-7976	41	38	multiple	multiple	ADJ
easat-7976	41	39	individuals	individual	NOUN
easat-7976	41	40	.	.	PUNCT
easat-7976	42	1	marri	marri	NOUN
easat-7976	42	2	and	and	CCONJ
easat-7976	42	3	swaminathan	swaminathan	ADV
easat-7976	42	4	[	[	X
easat-7976	42	5	13	13	NUM
easat-7976	42	6	]	]	PUNCT
easat-7976	42	7	developed	develop	VERB
easat-7976	42	8	a	a	DET
easat-7976	42	9	method	method	NOUN
easat-7976	42	10	for	for	ADP
easat-7976	42	11	detecting	detect	VERB
easat-7976	42	12	muscle	muscle	NOUN
easat-7976	42	13	fatigue	fatigue	NOUN
easat-7976	42	14	using	use	VERB
easat-7976	42	15	features	feature	NOUN
easat-7976	42	16	extracted	extract	VERB
easat-7976	42	17	from	from	ADP
easat-7976	42	18	surface	surface	NOUN
easat-7976	42	19	emg	emg	NOUN
easat-7976	42	20	signals	signal	NOUN
easat-7976	42	21	.	.	PUNCT
easat-7976	43	1	their	their	PRON
easat-7976	43	2	approach	approach	NOUN
easat-7976	43	3	focused	focus	VERB
easat-7976	43	4	on	on	ADP
easat-7976	43	5	distinguishing	distinguish	VERB
easat-7976	43	6	between	between	ADP
easat-7976	43	7	non	non	ADJ
easat-7976	43	8	-	-	ADJ
easat-7976	43	9	fatigue	fatigue	ADJ
easat-7976	43	10	and	and	CCONJ
easat-7976	43	11	fatigue	fatigue	NOUN
easat-7976	43	12	states	state	NOUN
easat-7976	43	13	during	during	ADP
easat-7976	43	14	dynamic	dynamic	ADJ
easat-7976	43	15	contractions	contraction	NOUN
easat-7976	43	16	.	.	PUNCT
easat-7976	44	1	using	use	VERB
easat-7976	44	2	classifiers	classifier	NOUN
easat-7976	44	3	such	such	ADJ
easat-7976	44	4	as	as	ADP
easat-7976	44	5	knn	knn	PROPN
easat-7976	44	6	,	,	PUNCT
easat-7976	44	7	logistic	logistic	ADJ
easat-7976	44	8	regression	regression	NOUN
easat-7976	44	9	and	and	CCONJ
easat-7976	44	10	naive	naive	ADJ
easat-7976	44	11	bayes	bayes	NOUN
easat-7976	44	12	,	,	PUNCT
easat-7976	44	13	they	they	PRON
easat-7976	44	14	achieved	achieve	VERB
easat-7976	44	15	up	up	ADP
easat-7976	44	16	to	to	PART
easat-7976	44	17	86	86	NUM
easat-7976	44	18	%	%	NOUN
easat-7976	44	19	accuracy	accuracy	NOUN
easat-7976	44	20	,	,	PUNCT
easat-7976	44	21	reinforcing	reinforce	VERB
easat-7976	44	22	the	the	DET
easat-7976	44	23	viability	viability	NOUN
easat-7976	44	24	of	of	ADP
easat-7976	44	25	machine	machine	NOUN
easat-7976	44	26	learning	learn	VERB
easat-7976	44	27	techniques	technique	NOUN
easat-7976	44	28	in	in	ADP
easat-7976	44	29	binary	binary	ADJ
easat-7976	44	30	fatigue	fatigue	NOUN
easat-7976	44	31	detection	detection	NOUN
easat-7976	44	32	based	base	VERB
easat-7976	44	33	on	on	ADP
easat-7976	44	34	emg	emg	NOUN
easat-7976	44	35	signals	signal	NOUN
easat-7976	44	36	.	.	PUNCT
easat-7976	45	1	li	li	PROPN
easat-7976	45	2	,	,	PUNCT
easat-7976	45	3	et	et	PROPN
easat-7976	45	4	al	al	PROPN
easat-7976	45	5	.	.	PUNCT
easat-7976	46	1	[	[	X
easat-7976	46	2	14	14	NUM
easat-7976	46	3	]	]	PUNCT
easat-7976	46	4	present	present	VERB
easat-7976	46	5	a	a	DET
easat-7976	46	6	comprehensive	comprehensive	ADJ
easat-7976	46	7	review	review	NOUN
easat-7976	46	8	of	of	ADP
easat-7976	46	9	non	non	ADJ
easat-7976	46	10	-	-	ADJ
easat-7976	46	11	invasive	invasive	ADJ
easat-7976	46	12	muscle	muscle	NOUN
easat-7976	46	13	fatigue	fatigue	NOUN
easat-7976	46	14	monitoring	monitor	VERB
easat-7976	46	15	techniques	technique	NOUN
easat-7976	46	16	,	,	PUNCT
easat-7976	46	17	focusing	focus	VERB
easat-7976	46	18	on	on	ADP
easat-7976	46	19	surface	surface	NOUN
easat-7976	46	20	semg	semg	NOUN
easat-7976	46	21	,	,	PUNCT
easat-7976	46	22	mechanomyography	mechanomyography	NOUN
easat-7976	46	23	(	(	PUNCT
easat-7976	46	24	mmg	mmg	PROPN
easat-7976	46	25	)	)	PUNCT
easat-7976	46	26	,	,	PUNCT
easat-7976	46	27	and	and	CCONJ
easat-7976	46	28	near	near	ADV
easat-7976	46	29	-	-	PUNCT
easat-7976	46	30	infrared	infrared	ADJ
easat-7976	46	31	spectroscopy	spectroscopy	NOUN
easat-7976	46	32	(	(	PUNCT
easat-7976	46	33	nirs	nirs	PROPN
easat-7976	46	34	)	)	PUNCT
easat-7976	46	35	.	.	PUNCT
easat-7976	47	1	the	the	DET
easat-7976	47	2	survey	survey	NOUN
easat-7976	47	3	details	detail	VERB
easat-7976	47	4	acquisition	acquisition	NOUN
easat-7976	47	5	methods	method	NOUN
easat-7976	47	6	,	,	PUNCT
easat-7976	47	7	signal	signal	NOUN
easat-7976	47	8	processing	processing	NOUN
easat-7976	47	9	,	,	PUNCT
easat-7976	47	10	and	and	CCONJ
easat-7976	47	11	machine	machine	NOUN
easat-7976	47	12	learning	learning	NOUN
easat-7976	47	13	applications	application	NOUN
easat-7976	47	14	.	.	PUNCT
easat-7976	48	1	it	it	PRON
easat-7976	48	2	highlights	highlight	VERB
easat-7976	48	3	semg	semg	NOUN
easat-7976	48	4	as	as	ADP
easat-7976	48	5	the	the	DET
easat-7976	48	6	most	most	ADV
easat-7976	48	7	reliable	reliable	ADJ
easat-7976	48	8	and	and	CCONJ
easat-7976	48	9	widely	widely	ADV
easat-7976	48	10	adopted	adopt	VERB
easat-7976	48	11	technique	technique	NOUN
easat-7976	48	12	for	for	ADP
easat-7976	48	13	real	real	ADJ
easat-7976	48	14	-	-	PUNCT
easat-7976	48	15	time	time	NOUN
easat-7976	48	16	fatigue	fatigue	NOUN
easat-7976	48	17	detection	detection	NOUN
easat-7976	48	18	in	in	ADP
easat-7976	48	19	wearable	wearable	ADJ
easat-7976	48	20	systems	system	NOUN
easat-7976	48	21	due	due	ADP
easat-7976	48	22	to	to	ADP
easat-7976	48	23	its	its	PRON
easat-7976	48	24	non	non	ADJ
easat-7976	48	25	-	-	ADJ
easat-7976	48	26	invasiveness	invasiveness	ADJ
easat-7976	48	27	and	and	CCONJ
easat-7976	48	28	strong	strong	ADJ
easat-7976	48	29	physiological	physiological	ADJ
easat-7976	48	30	relevance	relevance	NOUN
easat-7976	48	31	.	.	PUNCT
easat-7976	49	1	in	in	ADP
easat-7976	49	2	this	this	DET
easat-7976	49	3	study	study	NOUN
easat-7976	49	4	,	,	PUNCT
easat-7976	49	5	the	the	DET
easat-7976	49	6	emphasis	emphasis	NOUN
easat-7976	49	7	falls	fall	VERB
easat-7976	49	8	on	on	ADP
easat-7976	49	9	surface	surface	NOUN
easat-7976	49	10	electromyography	electromyography	NOUN
easat-7976	49	11	(	(	PUNCT
easat-7976	49	12	semg)—a	semg)—a	NOUN
easat-7976	49	13	modality	modality	NOUN
easat-7976	49	14	both	both	CCONJ
easat-7976	49	15	noninvasive	noninvasive	ADJ
easat-7976	49	16	and	and	CCONJ
easat-7976	49	17	capable	capable	ADJ
easat-7976	49	18	of	of	ADP
easat-7976	49	19	continuous	continuous	ADJ
easat-7976	49	20	,	,	PUNCT
easat-7976	49	21	real	real	ADJ
easat-7976	49	22	-	-	PUNCT
easat-7976	49	23	time	time	NOUN
easat-7976	49	24	monitoring	monitoring	NOUN
easat-7976	49	25	—	—	PUNCT
easat-7976	49	26	not	not	PART
easat-7976	49	27	as	as	ADP
easat-7976	49	28	an	an	DET
easat-7976	49	29	afterthought	afterthought	NOUN
easat-7976	49	30	,	,	PUNCT
easat-7976	49	31	but	but	CCONJ
easat-7976	49	32	as	as	SCONJ
easat-7976	49	33	the	the	DET
easat-7976	49	34	central	central	ADJ
easat-7976	49	35	means	mean	VERB
easat-7976	49	36	through	through	ADP
easat-7976	49	37	which	which	PRON
easat-7976	49	38	fatigue	fatigue	NOUN
easat-7976	49	39	-	-	PUNCT
easat-7976	49	40	induced	induce	VERB
easat-7976	49	41	variations	variation	NOUN
easat-7976	49	42	in	in	ADP
easat-7976	49	43	muscle	muscle	NOUN
easat-7976	49	44	behaviour	behaviour	NOUN
easat-7976	49	45	are	be	AUX
easat-7976	49	46	traced	trace	VERB
easat-7976	49	47	.	.	PUNCT
easat-7976	50	1	the	the	DET
easat-7976	50	2	primary	primary	ADJ
easat-7976	50	3	goal	goal	NOUN
easat-7976	50	4	is	be	AUX
easat-7976	50	5	to	to	PART
easat-7976	50	6	characterize	characterize	VERB
easat-7976	50	7	fatigue	fatigue	NOUN
easat-7976	50	8	phases	phase	NOUN
easat-7976	50	9	non	non	ADJ
easat-7976	50	10	-	-	ADJ
easat-7976	50	11	fatigue	fatigue	ADJ
easat-7976	50	12	,	,	PUNCT
easat-7976	50	13	transition	transition	NOUN
easat-7976	50	14	from	from	ADP
easat-7976	50	15	non	non	ADJ
easat-7976	50	16	fatigue	fatigue	NOUN
easat-7976	50	17	to	to	ADP
easat-7976	50	18	fatigue	fatigue	NOUN
easat-7976	50	19	and	and	CCONJ
easat-7976	50	20	fatigueusing	fatigueuse	VERB
easat-7976	50	21	only	only	ADV
easat-7976	50	22	semg	semg	NOUN
easat-7976	50	23	features	feature	VERB
easat-7976	50	24	.	.	PUNCT
easat-7976	51	1	however	however	ADV
easat-7976	51	2	,	,	PUNCT
easat-7976	51	3	since	since	SCONJ
easat-7976	51	4	semg	semg	NOUN
easat-7976	51	5	does	do	AUX
easat-7976	51	6	not	not	PART
easat-7976	51	7	inherently	inherently	ADV
easat-7976	51	8	include	include	VERB
easat-7976	51	9	absolute	absolute	ADJ
easat-7976	51	10	force	force	NOUN
easat-7976	51	11	information	information	NOUN
easat-7976	51	12	,	,	PUNCT
easat-7976	51	13	simultaneous	simultaneous	ADJ
easat-7976	51	14	recording	recording	NOUN
easat-7976	51	15	of	of	ADP
easat-7976	51	16	grip	grip	NOUN
easat-7976	51	17	force	force	NOUN
easat-7976	51	18	was	be	AUX
easat-7976	51	19	used	use	VERB
easat-7976	51	20	during	during	ADP
easat-7976	51	21	the	the	DET
easat-7976	51	22	training	training	NOUN
easat-7976	51	23	step	step	NOUN
easat-7976	51	24	to	to	ADP
easat-7976	51	25	label	label	NOUN
easat-7976	51	26	fatigue	fatigue	NOUN
easat-7976	51	27	states	state	NOUN
easat-7976	51	28	.	.	PUNCT
easat-7976	52	1	these	these	DET
easat-7976	52	2	labels	label	NOUN
easat-7976	52	3	were	be	AUX
easat-7976	52	4	based	base	VERB
easat-7976	52	5	on	on	ADP
easat-7976	52	6	relative	relative	ADJ
easat-7976	52	7	reductions	reduction	NOUN
easat-7976	52	8	in	in	ADP
easat-7976	52	9	maximum	maximum	ADJ
easat-7976	52	10	voluntary	voluntary	ADJ
easat-7976	52	11	contraction	contraction	NOUN
easat-7976	52	12	(	(	PUNCT
easat-7976	52	13	10	10	NUM
easat-7976	52	14	%	%	NOUN
easat-7976	52	15	and	and	CCONJ
easat-7976	52	16	30	30	NUM
easat-7976	52	17	%	%	NOUN
easat-7976	52	18	)	)	PUNCT
easat-7976	52	19	,	,	PUNCT
easat-7976	52	20	thresholds	threshold	VERB
easat-7976	52	21	that	that	PRON
easat-7976	52	22	are	be	AUX
easat-7976	52	23	consistent	consistent	ADJ
easat-7976	52	24	with	with	ADP
easat-7976	52	25	physiological	physiological	ADJ
easat-7976	52	26	transitions	transition	NOUN
easat-7976	52	27	observed	observe	VERB
easat-7976	52	28	in	in	ADP
easat-7976	52	29	sustained	sustained	ADJ
easat-7976	52	30	isometric	isometric	ADJ
easat-7976	52	31	tasks	task	NOUN
easat-7976	52	32	.	.	PUNCT
easat-7976	53	1	927	927	NUM
easat-7976	53	2	edelweiss	edelweiss	PROPN
easat-7976	53	3	applied	apply	VERB
easat-7976	53	4	science	science	NOUN
easat-7976	53	5	and	and	CCONJ
easat-7976	53	6	technology	technology	NOUN
easat-7976	53	7	issn	issn	PROPN
easat-7976	53	8	:	:	PUNCT
easat-7976	53	9	2576	2576	NUM
easat-7976	53	10	-	-	SYM
easat-7976	53	11	8484	8484	NUM
easat-7976	53	12	vol	vol	NOUN
easat-7976	53	13	.	.	PROPN
easat-7976	54	1	9	9	NUM
easat-7976	54	2	,	,	PUNCT
easat-7976	54	3	no	no	INTJ
easat-7976	54	4	.	.	NOUN
easat-7976	55	1	6	6	NUM
easat-7976	55	2	:	:	SYM
easat-7976	55	3	925	925	NUM
easat-7976	55	4	-	-	SYM
easat-7976	55	5	938	938	NUM
easat-7976	55	6	,	,	PUNCT
easat-7976	55	7	2025	2025	NUM
easat-7976	55	8	doi	doi	NOUN
easat-7976	55	9	:	:	PUNCT
easat-7976	55	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	55	11	©	©	PROPN
easat-7976	55	12	2025	2025	NUM
easat-7976	55	13	by	by	ADP
easat-7976	55	14	the	the	DET
easat-7976	55	15	authors	author	NOUN
easat-7976	55	16	;	;	PUNCT
easat-7976	55	17	licensee	licensee	PROPN
easat-7976	55	18	learning	learning	NOUN
easat-7976	55	19	gate	gate	VERB
easat-7976	55	20	a	a	DET
easat-7976	55	21	platform	platform	NOUN
easat-7976	55	22	was	be	AUX
easat-7976	55	23	developed	develop	VERB
easat-7976	55	24	to	to	PART
easat-7976	55	25	record	record	VERB
easat-7976	55	26	semg	semg	NOUN
easat-7976	55	27	signals	signal	NOUN
easat-7976	55	28	.	.	PUNCT
easat-7976	56	1	after	after	ADP
easat-7976	56	2	preprocessing	preprocessing	NOUN
easat-7976	56	3	and	and	CCONJ
easat-7976	56	4	segmentation	segmentation	NOUN
easat-7976	56	5	,	,	PUNCT
easat-7976	56	6	eleven	eleven	NUM
easat-7976	56	7	features	feature	NOUN
easat-7976	56	8	were	be	AUX
easat-7976	56	9	extracted	extract	VERB
easat-7976	56	10	from	from	ADP
easat-7976	56	11	each	each	DET
easat-7976	56	12	emg	emg	NOUN
easat-7976	56	13	segment	segment	NOUN
easat-7976	56	14	across	across	ADP
easat-7976	56	15	time	time	NOUN
easat-7976	56	16	,	,	PUNCT
easat-7976	56	17	time	time	NOUN
easat-7976	56	18	-	-	PUNCT
easat-7976	56	19	frequency	frequency	NOUN
easat-7976	56	20	,	,	PUNCT
easat-7976	56	21	and	and	CCONJ
easat-7976	56	22	nonlinear	nonlinear	ADJ
easat-7976	56	23	domains	domain	NOUN
easat-7976	56	24	.	.	PUNCT
easat-7976	57	1	three	three	NUM
easat-7976	57	2	classification	classification	NOUN
easat-7976	57	3	models	model	NOUN
easat-7976	57	4	mainly	mainly	ADV
easat-7976	57	5	(	(	PUNCT
easat-7976	57	6	svm	svm	PROPN
easat-7976	57	7	,	,	PUNCT
easat-7976	57	8	lda	lda	PROPN
easat-7976	57	9	,	,	PUNCT
easat-7976	57	10	qda	qda	PROPN
easat-7976	57	11	)	)	PUNCT
easat-7976	57	12	were	be	AUX
easat-7976	57	13	trained	train	VERB
easat-7976	57	14	to	to	PART
easat-7976	57	15	distinguish	distinguish	VERB
easat-7976	57	16	the	the	DET
easat-7976	57	17	three	three	NUM
easat-7976	57	18	fatigue	fatigue	NOUN
easat-7976	57	19	phases	phase	NOUN
easat-7976	57	20	.	.	PUNCT
easat-7976	58	1	in	in	ADP
easat-7976	58	2	parallel	parallel	NOUN
easat-7976	58	3	,	,	PUNCT
easat-7976	58	4	a	a	DET
easat-7976	58	5	multiple	multiple	ADJ
easat-7976	58	6	linear	linear	ADJ
easat-7976	58	7	regression	regression	NOUN
easat-7976	58	8	model	model	NOUN
easat-7976	58	9	(	(	PUNCT
easat-7976	58	10	mlr	mlr	NOUN
easat-7976	58	11	)	)	PUNCT
easat-7976	58	12	was	be	AUX
easat-7976	58	13	implemented	implement	VERB
easat-7976	58	14	to	to	PART
easat-7976	58	15	predict	predict	VERB
easat-7976	58	16	force	force	NOUN
easat-7976	58	17	directly	directly	ADV
easat-7976	58	18	from	from	ADP
easat-7976	58	19	emg	emg	PROPN
easat-7976	58	20	.	.	PUNCT
easat-7976	59	1	this	this	DET
easat-7976	59	2	dual	dual	ADJ
easat-7976	59	3	approach	approach	NOUN
easat-7976	59	4	enables	enable	VERB
easat-7976	59	5	a	a	DET
easat-7976	59	6	comparative	comparative	ADJ
easat-7976	59	7	evaluation	evaluation	NOUN
easat-7976	59	8	of	of	ADP
easat-7976	59	9	classification	classification	NOUN
easat-7976	59	10	versus	versus	ADP
easat-7976	59	11	regression	regression	NOUN
easat-7976	59	12	in	in	ADP
easat-7976	59	13	mapping	map	VERB
easat-7976	59	14	emg	emg	NOUN
easat-7976	59	15	-	-	PUNCT
easat-7976	59	16	derived	derive	VERB
easat-7976	59	17	neuromuscular	neuromuscular	ADJ
easat-7976	59	18	activity	activity	NOUN
easat-7976	59	19	to	to	ADP
easat-7976	59	20	fatigue	fatigue	NOUN
easat-7976	59	21	progression	progression	NOUN
easat-7976	59	22	.	.	PUNCT
easat-7976	60	1	the	the	DET
easat-7976	60	2	different	different	ADJ
easat-7976	60	3	steps	step	NOUN
easat-7976	60	4	of	of	ADP
easat-7976	60	5	the	the	DET
easat-7976	60	6	proposed	propose	VERB
easat-7976	60	7	study	study	NOUN
easat-7976	60	8	are	be	AUX
easat-7976	60	9	illustrated	illustrate	VERB
easat-7976	60	10	through	through	ADP
easat-7976	60	11	the	the	DET
easat-7976	60	12	flowchart	flowchart	NOUN
easat-7976	60	13	given	give	VERB
easat-7976	60	14	in	in	ADP
easat-7976	60	15	figure	figure	NOUN
easat-7976	60	16	1	1	NUM
easat-7976	60	17	.	.	PUNCT
easat-7976	61	1	figure	figure	NOUN
easat-7976	61	2	1	1	NUM
easat-7976	61	3	.	.	PUNCT
easat-7976	62	1	flow	flow	VERB
easat-7976	62	2	chart	chart	NOUN
easat-7976	62	3	of	of	ADP
easat-7976	62	4	the	the	DET
easat-7976	62	5	emg	emg	NOUN
easat-7976	62	6	-	-	PUNCT
easat-7976	62	7	based	base	VERB
easat-7976	62	8	fatigue	fatigue	NOUN
easat-7976	62	9	phase	phase	NOUN
easat-7976	62	10	detection	detection	NOUN
easat-7976	62	11	and	and	CCONJ
easat-7976	62	12	classification	classification	NOUN
easat-7976	62	13	.	.	PUNCT
easat-7976	63	1	2	2	X
easat-7976	63	2	.	.	X
easat-7976	63	3	materials	material	NOUN
easat-7976	63	4	and	and	CCONJ
easat-7976	63	5	methods	method	NOUN
easat-7976	63	6	2.1	2.1	NUM
easat-7976	63	7	.	.	PUNCT
easat-7976	64	1	experimental	experimental	ADJ
easat-7976	64	2	setup	setup	NOUN
easat-7976	64	3	to	to	PART
easat-7976	64	4	carry	carry	VERB
easat-7976	64	5	out	out	ADP
easat-7976	64	6	the	the	DET
easat-7976	64	7	study	study	NOUN
easat-7976	64	8	,	,	PUNCT
easat-7976	64	9	nineteen	nineteen	NUM
easat-7976	64	10	healthy	healthy	ADJ
easat-7976	64	11	adults	adult	NOUN
easat-7976	64	12	(	(	PUNCT
easat-7976	64	13	13	13	NUM
easat-7976	64	14	males	male	NOUN
easat-7976	64	15	and	and	CCONJ
easat-7976	64	16	6	6	NUM
easat-7976	64	17	females	female	NOUN
easat-7976	64	18	)	)	PUNCT
easat-7976	64	19	,	,	PUNCT
easat-7976	64	20	aged	age	VERB
easat-7976	64	21	22	22	NUM
easat-7976	64	22	to	to	PART
easat-7976	64	23	38	38	NUM
easat-7976	64	24	years	year	NOUN
easat-7976	64	25	,	,	PUNCT
easat-7976	64	26	with	with	ADP
easat-7976	64	27	an	an	DET
easat-7976	64	28	average	average	ADJ
easat-7976	64	29	weight	weight	NOUN
easat-7976	64	30	of	of	ADP
easat-7976	64	31	79	79	NUM
easat-7976	64	32	 	 	SPACE
easat-7976	64	33	±	±	NOUN
easat-7976	64	34	 	 	SPACE
easat-7976	64	35	8	8	NUM
easat-7976	64	36	 	 	SPACE
easat-7976	64	37	kg	kg	NOUN
easat-7976	64	38	for	for	ADP
easat-7976	64	39	males	male	NOUN
easat-7976	64	40	and	and	CCONJ
easat-7976	64	41	68	68	NUM
easat-7976	64	42	 	 	SPACE
easat-7976	64	43	±	±	NOUN
easat-7976	64	44	 	 	SPACE
easat-7976	64	45	5	5	NUM
easat-7976	64	46	 	 	SPACE
easat-7976	64	47	kg	kg	NOUN
easat-7976	64	48	for	for	ADP
easat-7976	64	49	females	female	NOUN
easat-7976	64	50	,	,	PUNCT
easat-7976	64	51	were	be	AUX
easat-7976	64	52	keen	keen	ADJ
easat-7976	64	53	to	to	PART
easat-7976	64	54	participate	participate	VERB
easat-7976	64	55	.	.	PUNCT
easat-7976	65	1	all	all	DET
easat-7976	65	2	subjects	subject	NOUN
easat-7976	65	3	were	be	AUX
easat-7976	65	4	right	right	ADV
easat-7976	65	5	-	-	PUNCT
easat-7976	65	6	handed	handed	ADJ
easat-7976	65	7	and	and	CCONJ
easat-7976	65	8	informed	inform	VERB
easat-7976	65	9	no	no	DET
easat-7976	65	10	history	history	NOUN
easat-7976	65	11	of	of	ADP
easat-7976	65	12	neuromuscular	neuromuscular	ADJ
easat-7976	65	13	disorders	disorder	NOUN
easat-7976	65	14	.	.	PUNCT
easat-7976	66	1	each	each	DET
easat-7976	66	2	subject	subject	NOUN
easat-7976	66	3	performed	perform	VERB
easat-7976	66	4	a	a	DET
easat-7976	66	5	sustained	sustained	ADJ
easat-7976	66	6	isometric	isometric	ADJ
easat-7976	66	7	handgrip	handgrip	NOUN
easat-7976	66	8	contraction	contraction	NOUN
easat-7976	66	9	using	use	VERB
easat-7976	66	10	a	a	DET
easat-7976	66	11	digital	digital	ADJ
easat-7976	66	12	dynamometer	dynamometer	NOUN
easat-7976	66	13	until	until	ADP
easat-7976	66	14	voluntary	voluntary	ADJ
easat-7976	66	15	fatigue	fatigue	NOUN
easat-7976	66	16	.	.	PUNCT
easat-7976	67	1	surface	surface	NOUN
easat-7976	67	2	electromyographic	electromyographic	ADJ
easat-7976	67	3	(	(	PUNCT
easat-7976	67	4	semg	semg	NOUN
easat-7976	67	5	)	)	PUNCT
easat-7976	67	6	signals	signal	NOUN
easat-7976	67	7	were	be	AUX
easat-7976	67	8	recorded	record	VERB
easat-7976	67	9	from	from	ADP
easat-7976	67	10	the	the	DET
easat-7976	67	11	flexor	flexor	PROPN
easat-7976	67	12	carpi	carpi	NOUN
easat-7976	67	13	radialis	radiali	NOUN
easat-7976	67	14	(	(	PUNCT
easat-7976	67	15	fcr	fcr	NOUN
easat-7976	67	16	)	)	PUNCT
easat-7976	67	17	muscle	muscle	NOUN
easat-7976	67	18	using	use	VERB
easat-7976	67	19	standard	standard	ADJ
easat-7976	67	20	ag	ag	PROPN
easat-7976	67	21	/	/	SYM
easat-7976	67	22	agcl	agcl	NOUN
easat-7976	67	23	surface	surface	NOUN
easat-7976	67	24	electrodes	electrode	NOUN
easat-7976	67	25	[	[	X
easat-7976	67	26	15	15	NUM
easat-7976	67	27	]	]	PUNCT
easat-7976	67	28	.	.	PUNCT
easat-7976	68	1	the	the	DET
easat-7976	68	2	electrode	electrode	NOUN
easat-7976	68	3	’s	’s	PART
easat-7976	68	4	placement	placement	NOUN
easat-7976	68	5	and	and	CCONJ
easat-7976	68	6	the	the	DET
easat-7976	68	7	skin	skin	NOUN
easat-7976	68	8	’s	’s	PART
easat-7976	68	9	preparation	preparation	NOUN
easat-7976	68	10	followed	follow	VERB
easat-7976	68	11	standard	standard	PROPN
easat-7976	68	12	emg	emg	NOUN
easat-7976	68	13	acquisition	acquisition	NOUN
easat-7976	68	14	guidelines	guideline	NOUN
easat-7976	68	15	to	to	PART
easat-7976	68	16	ensure	ensure	VERB
easat-7976	68	17	signal	signal	ADJ
easat-7976	68	18	quality	quality	NOUN
easat-7976	68	19	and	and	CCONJ
easat-7976	68	20	reproducibility	reproducibility	NOUN
easat-7976	68	21	.	.	PUNCT
easat-7976	69	1	participants	participant	NOUN
easat-7976	69	2	were	be	AUX
easat-7976	69	3	comfortably	comfortably	ADV
easat-7976	69	4	seated	seat	VERB
easat-7976	69	5	,	,	PUNCT
easat-7976	69	6	and	and	CCONJ
easat-7976	69	7	no	no	DET
easat-7976	69	8	specific	specific	ADJ
easat-7976	69	9	constraint	constraint	NOUN
easat-7976	69	10	was	be	AUX
easat-7976	69	11	applied	apply	VERB
easat-7976	69	12	to	to	ADP
easat-7976	69	13	the	the	DET
easat-7976	69	14	joint	joint	ADJ
easat-7976	69	15	angle	angle	NOUN
easat-7976	69	16	beyond	beyond	ADP
easat-7976	69	17	maintaining	maintain	VERB
easat-7976	69	18	a	a	DET
easat-7976	69	19	stable	stable	ADJ
easat-7976	69	20	posture	posture	NOUN
easat-7976	69	21	throughout	throughout	ADP
easat-7976	69	22	the	the	DET
easat-7976	69	23	recording	recording	NOUN
easat-7976	69	24	.	.	PUNCT
easat-7976	70	1	they	they	PRON
easat-7976	70	2	received	receive	VERB
easat-7976	70	3	verbal	verbal	ADJ
easat-7976	70	4	encouragement	encouragement	NOUN
easat-7976	70	5	to	to	PART
easat-7976	70	6	sustain	sustain	VERB
easat-7976	70	7	their	their	PRON
easat-7976	70	8	grip	grip	NOUN
easat-7976	70	9	for	for	ADP
easat-7976	70	10	the	the	DET
easat-7976	70	11	maximum	maximum	ADJ
easat-7976	70	12	duration	duration	NOUN
easat-7976	70	13	possible	possible	ADJ
easat-7976	70	14	,	,	PUNCT
easat-7976	70	15	until	until	SCONJ
easat-7976	70	16	a	a	DET
easat-7976	70	17	visible	visible	ADJ
easat-7976	70	18	and	and	CCONJ
easat-7976	70	19	self	self	NOUN
easat-7976	70	20	-	-	PUNCT
easat-7976	70	21	reported	report	VERB
easat-7976	70	22	decline	decline	NOUN
easat-7976	70	23	in	in	ADP
easat-7976	70	24	force	force	NOUN
easat-7976	70	25	indicated	indicate	VERB
easat-7976	70	26	the	the	DET
easat-7976	70	27	onset	onset	NOUN
easat-7976	70	28	of	of	ADP
easat-7976	70	29	fatigue	fatigue	NOUN
easat-7976	70	30	.	.	PUNCT
easat-7976	71	1	simultaneous	simultaneous	ADJ
easat-7976	71	2	acquisition	acquisition	NOUN
easat-7976	71	3	of	of	ADP
easat-7976	71	4	emg	emg	PROPN
easat-7976	71	5	and	and	CCONJ
easat-7976	71	6	grip	grip	PROPN
easat-7976	71	7	force	force	PROPN
easat-7976	71	8	data	datum	NOUN
easat-7976	71	9	allowed	allow	VERB
easat-7976	71	10	for	for	ADP
easat-7976	71	11	accurate	accurate	ADJ
easat-7976	71	12	alignment	alignment	NOUN
easat-7976	71	13	of	of	ADP
easat-7976	71	14	neuromuscular	neuromuscular	ADJ
easat-7976	71	15	activity	activity	NOUN
easat-7976	71	16	with	with	ADP
easat-7976	71	17	muscular	muscular	ADJ
easat-7976	71	18	performance	performance	NOUN
easat-7976	71	19	over	over	ADP
easat-7976	71	20	time	time	NOUN
easat-7976	71	21	928	928	NUM
easat-7976	71	22	edelweiss	edelweiss	PROPN
easat-7976	71	23	applied	apply	VERB
easat-7976	71	24	science	science	NOUN
easat-7976	71	25	and	and	CCONJ
easat-7976	71	26	technology	technology	NOUN
easat-7976	71	27	issn	issn	PROPN
easat-7976	71	28	:	:	PUNCT
easat-7976	71	29	2576	2576	NUM
easat-7976	71	30	-	-	SYM
easat-7976	71	31	8484	8484	NUM
easat-7976	71	32	vol	vol	NOUN
easat-7976	71	33	.	.	PROPN
easat-7976	72	1	9	9	NUM
easat-7976	72	2	,	,	PUNCT
easat-7976	72	3	no	no	INTJ
easat-7976	72	4	.	.	NOUN
easat-7976	73	1	6	6	NUM
easat-7976	73	2	:	:	SYM
easat-7976	73	3	925	925	NUM
easat-7976	73	4	-	-	SYM
easat-7976	73	5	938	938	NUM
easat-7976	73	6	,	,	PUNCT
easat-7976	73	7	2025	2025	NUM
easat-7976	73	8	doi	doi	NOUN
easat-7976	73	9	:	:	PUNCT
easat-7976	73	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	73	11	©	©	PROPN
easat-7976	73	12	2025	2025	NUM
easat-7976	73	13	by	by	ADP
easat-7976	73	14	the	the	DET
easat-7976	73	15	authors	author	NOUN
easat-7976	73	16	;	;	PUNCT
easat-7976	73	17	licensee	licensee	PROPN
easat-7976	73	18	learning	learning	NOUN
easat-7976	73	19	gate	gate	NOUN
easat-7976	73	20	2.2	2.2	NUM
easat-7976	73	21	.	.	PUNCT
easat-7976	74	1	data	datum	NOUN
easat-7976	74	2	acquisition	acquisition	NOUN
easat-7976	74	3	and	and	CCONJ
easat-7976	74	4	signal	signal	NOUN
easat-7976	74	5	preprocessing	preprocessing	NOUN
easat-7976	74	6	semg	semg	NOUN
easat-7976	74	7	signals	signal	NOUN
easat-7976	74	8	were	be	AUX
easat-7976	74	9	recorded	record	VERB
easat-7976	74	10	from	from	ADP
easat-7976	74	11	the	the	DET
easat-7976	74	12	flexor	flexor	PROPN
easat-7976	74	13	carpi	carpi	NOUN
easat-7976	74	14	radialis	radiali	NOUN
easat-7976	74	15	(	(	PUNCT
easat-7976	74	16	fcr	fcr	NOUN
easat-7976	74	17	)	)	PUNCT
easat-7976	74	18	muscle	muscle	NOUN
easat-7976	74	19	using	use	VERB
easat-7976	74	20	standard	standard	ADJ
easat-7976	74	21	ag	ag	PROPN
easat-7976	74	22	/	/	SYM
easat-7976	74	23	agcl	agcl	NOUN
easat-7976	74	24	electrodes	electrode	NOUN
easat-7976	74	25	placed	place	VERB
easat-7976	74	26	over	over	ADP
easat-7976	74	27	the	the	DET
easat-7976	74	28	muscle	muscle	NOUN
easat-7976	74	29	belly	belly	NOUN
easat-7976	74	30	.	.	PUNCT
easat-7976	75	1	acquisition	acquisition	NOUN
easat-7976	75	2	was	be	AUX
easat-7976	75	3	performed	perform	VERB
easat-7976	75	4	with	with	ADP
easat-7976	75	5	an	an	DET
easat-7976	75	6	esp32	esp32	ADJ
easat-7976	75	7	wroom	wroom	NOUN
easat-7976	75	8	microcontroller	microcontroller	NOUN
easat-7976	75	9	,	,	PUNCT
easat-7976	75	10	which	which	PRON
easat-7976	75	11	provided	provide	VERB
easat-7976	75	12	a	a	DET
easat-7976	75	13	12	12	NUM
easat-7976	75	14	-	-	PUNCT
easat-7976	75	15	bit	bit	NOUN
easat-7976	75	16	analog	analog	NOUN
easat-7976	75	17	-	-	PUNCT
easat-7976	75	18	to	to	ADP
easat-7976	75	19	-	-	PUNCT
easat-7976	75	20	digital	digital	ADJ
easat-7976	75	21	conversion	conversion	NOUN
easat-7976	75	22	with	with	ADP
easat-7976	75	23	a	a	DET
easat-7976	75	24	2	2	NUM
easat-7976	75	25	 	 	SPACE
easat-7976	75	26	khz	khz	NOUN
easat-7976	75	27	sampling	sample	VERB
easat-7976	75	28	frequency	frequency	NOUN
easat-7976	75	29	[	[	X
easat-7976	75	30	16	16	NUM
easat-7976	75	31	]	]	PUNCT
easat-7976	75	32	.	.	PUNCT
easat-7976	76	1	this	this	DET
easat-7976	76	2	configuration	configuration	NOUN
easat-7976	76	3	ensured	ensure	VERB
easat-7976	76	4	sufficient	sufficient	ADJ
easat-7976	76	5	resolution	resolution	NOUN
easat-7976	76	6	and	and	CCONJ
easat-7976	76	7	temporal	temporal	ADJ
easat-7976	76	8	accuracy	accuracy	NOUN
easat-7976	76	9	for	for	ADP
easat-7976	76	10	detecting	detect	VERB
easat-7976	76	11	subtle	subtle	ADJ
easat-7976	76	12	variations	variation	NOUN
easat-7976	76	13	in	in	ADP
easat-7976	76	14	neuromuscular	neuromuscular	ADJ
easat-7976	76	15	activation	activation	NOUN
easat-7976	76	16	associated	associate	VERB
easat-7976	76	17	with	with	ADP
easat-7976	76	18	fatigue	fatigue	NOUN
easat-7976	76	19	.	.	PUNCT
easat-7976	77	1	the	the	DET
easat-7976	77	2	recorded	record	VERB
easat-7976	77	3	semg	semg	NOUN
easat-7976	77	4	signals	signal	NOUN
easat-7976	77	5	are	be	AUX
easat-7976	77	6	buried	bury	VERB
easat-7976	77	7	in	in	ADP
easat-7976	77	8	noise	noise	NOUN
easat-7976	77	9	.	.	PUNCT
easat-7976	78	1	consequently	consequently	ADV
easat-7976	78	2	,	,	PUNCT
easat-7976	78	3	a	a	DET
easat-7976	78	4	bandpass	bandpass	NOUN
easat-7976	78	5	filter	filter	NOUN
easat-7976	78	6	with	with	ADP
easat-7976	78	7	cut	cut	VERB
easat-7976	78	8	-	-	PUNCT
easat-7976	78	9	off	off	ADP
easat-7976	78	10	frequencies	frequency	NOUN
easat-7976	78	11	5hz	5hz	VERB
easat-7976	78	12	up	up	ADP
easat-7976	78	13	to	to	ADP
easat-7976	78	14	500hz	500hz	NOUN
easat-7976	78	15	was	be	AUX
easat-7976	78	16	applied	apply	VERB
easat-7976	78	17	to	to	AUX
easat-7976	78	18	suppress	suppress	VERB
easat-7976	78	19	movement	movement	NOUN
easat-7976	78	20	artifacts	artifact	NOUN
easat-7976	78	21	and	and	CCONJ
easat-7976	78	22	high	high	ADJ
easat-7976	78	23	-	-	PUNCT
easat-7976	78	24	frequency	frequency	NOUN
easat-7976	78	25	noise	noise	NOUN
easat-7976	78	26	,	,	PUNCT
easat-7976	78	27	while	while	SCONJ
easat-7976	78	28	a	a	DET
easat-7976	78	29	50	50	NUM
easat-7976	78	30	 	 	SPACE
easat-7976	78	31	hz	hz	VERB
easat-7976	78	32	notch	notch	ADJ
easat-7976	78	33	filter	filter	NOUN
easat-7976	78	34	eliminate	eliminate	NOUN
easat-7976	78	35	powerline	powerline	NOUN
easat-7976	78	36	interference	interference	NOUN
easat-7976	78	37	[	[	X
easat-7976	78	38	17	17	NUM
easat-7976	78	39	]	]	PUNCT
easat-7976	78	40	(	(	PUNCT
easat-7976	78	41	see	see	VERB
easat-7976	78	42	figure	figure	NOUN
easat-7976	78	43	.	.	PUNCT
easat-7976	79	1	2	2	NUM
easat-7976	79	2	)	)	PUNCT
easat-7976	79	3	.	.	PUNCT
easat-7976	80	1	each	each	DET
easat-7976	80	2	filtered	filter	VERB
easat-7976	80	3	signal	signal	NOUN
easat-7976	80	4	was	be	AUX
easat-7976	80	5	segmented	segment	VERB
easat-7976	80	6	into	into	ADP
easat-7976	80	7	50	50	NUM
easat-7976	80	8	equal	equal	ADJ
easat-7976	80	9	-	-	PUNCT
easat-7976	80	10	length	length	NOUN
easat-7976	80	11	non	non	ADJ
easat-7976	80	12	-	-	ADJ
easat-7976	80	13	overlapping	overlapping	ADJ
easat-7976	80	14	windows	window	NOUN
easat-7976	80	15	,	,	PUNCT
easat-7976	80	16	allowing	allow	VERB
easat-7976	80	17	for	for	ADP
easat-7976	80	18	local	local	ADJ
easat-7976	80	19	analysis	analysis	NOUN
easat-7976	80	20	of	of	ADP
easat-7976	80	21	fatigue	fatigue	NOUN
easat-7976	80	22	progression	progression	NOUN
easat-7976	80	23	over	over	ADP
easat-7976	80	24	time	time	NOUN
easat-7976	80	25	.	.	PUNCT
easat-7976	81	1	importantly	importantly	ADV
easat-7976	81	2	,	,	PUNCT
easat-7976	81	3	the	the	DET
easat-7976	81	4	emg	emg	NOUN
easat-7976	81	5	and	and	CCONJ
easat-7976	81	6	grip	grip	NOUN
easat-7976	81	7	force	force	NOUN
easat-7976	81	8	signals	signal	NOUN
easat-7976	81	9	(	(	PUNCT
easat-7976	81	10	see	see	VERB
easat-7976	81	11	figure	figure	NOUN
easat-7976	81	12	3	3	NUM
easat-7976	81	13	)	)	PUNCT
easat-7976	81	14	were	be	AUX
easat-7976	81	15	acquired	acquire	VERB
easat-7976	81	16	simultaneously	simultaneously	ADV
easat-7976	81	17	and	and	CCONJ
easat-7976	81	18	time	time	NOUN
easat-7976	81	19	-	-	PUNCT
easat-7976	81	20	aligned	align	VERB
easat-7976	81	21	,	,	PUNCT
easat-7976	81	22	enabling	enable	VERB
easat-7976	81	23	each	each	DET
easat-7976	81	24	emg	emg	NOUN
easat-7976	81	25	segment	segment	NOUN
easat-7976	81	26	to	to	PART
easat-7976	81	27	be	be	AUX
easat-7976	81	28	associated	associate	VERB
easat-7976	81	29	with	with	ADP
easat-7976	81	30	a	a	DET
easat-7976	81	31	corresponding	corresponding	ADJ
easat-7976	81	32	force	force	NOUN
easat-7976	81	33	value	value	NOUN
easat-7976	81	34	.	.	PUNCT
easat-7976	82	1	figure	figure	NOUN
easat-7976	82	2	2	2	NUM
easat-7976	82	3	.	.	PUNCT
easat-7976	82	4	filtered	filter	VERB
easat-7976	82	5	emg	emg	NOUN
easat-7976	82	6	signal	signal	NOUN
easat-7976	82	7	acquired	acquire	VERB
easat-7976	82	8	during	during	ADP
easat-7976	82	9	sustained	sustained	ADJ
easat-7976	82	10	contraction	contraction	NOUN
easat-7976	82	11	.	.	PUNCT
easat-7976	83	1	929	929	NUM
easat-7976	83	2	edelweiss	edelweiss	PROPN
easat-7976	83	3	applied	apply	VERB
easat-7976	83	4	science	science	NOUN
easat-7976	83	5	and	and	CCONJ
easat-7976	83	6	technology	technology	NOUN
easat-7976	83	7	issn	issn	PROPN
easat-7976	83	8	:	:	PUNCT
easat-7976	83	9	2576	2576	NUM
easat-7976	83	10	-	-	SYM
easat-7976	83	11	8484	8484	NUM
easat-7976	83	12	vol	vol	NOUN
easat-7976	83	13	.	.	PROPN
easat-7976	84	1	9	9	NUM
easat-7976	84	2	,	,	PUNCT
easat-7976	84	3	no	no	INTJ
easat-7976	84	4	.	.	NOUN
easat-7976	85	1	6	6	NUM
easat-7976	85	2	:	:	SYM
easat-7976	85	3	925	925	NUM
easat-7976	85	4	-	-	SYM
easat-7976	85	5	938	938	NUM
easat-7976	85	6	,	,	PUNCT
easat-7976	85	7	2025	2025	NUM
easat-7976	85	8	doi	doi	NOUN
easat-7976	85	9	:	:	PUNCT
easat-7976	85	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	85	11	©	©	PROPN
easat-7976	85	12	2025	2025	NUM
easat-7976	85	13	by	by	ADP
easat-7976	85	14	the	the	DET
easat-7976	85	15	authors	author	NOUN
easat-7976	85	16	;	;	PUNCT
easat-7976	85	17	licensee	licensee	PROPN
easat-7976	85	18	learning	learn	VERB
easat-7976	85	19	gate	gate	PROPN
easat-7976	85	20	figure	figure	NOUN
easat-7976	85	21	3	3	NUM
easat-7976	85	22	.	.	PUNCT
easat-7976	85	23	observed	observe	VERB
easat-7976	85	24	grip	grip	NOUN
easat-7976	85	25	force	force	NOUN
easat-7976	85	26	evolution	evolution	NOUN
easat-7976	85	27	over	over	ADP
easat-7976	85	28	time	time	NOUN
easat-7976	85	29	.	.	PUNCT
easat-7976	86	1	2.3	2.3	NUM
easat-7976	86	2	.	.	PUNCT
easat-7976	87	1	feature	feature	NOUN
easat-7976	87	2	extraction	extraction	NOUN
easat-7976	87	3	eleven	eleven	NUM
easat-7976	87	4	features	feature	NOUN
easat-7976	87	5	were	be	AUX
easat-7976	87	6	computed	compute	VERB
easat-7976	87	7	for	for	ADP
easat-7976	87	8	each	each	DET
easat-7976	87	9	emg	emg	NOUN
easat-7976	87	10	segment	segment	NOUN
easat-7976	87	11	to	to	PART
easat-7976	87	12	capture	capture	VERB
easat-7976	87	13	signal	signal	VERB
easat-7976	87	14	characteristics	characteristic	NOUN
easat-7976	87	15	across	across	ADP
easat-7976	87	16	time	time	NOUN
easat-7976	87	17	,	,	PUNCT
easat-7976	87	18	time	time	NOUN
easat-7976	87	19	-	-	PUNCT
easat-7976	87	20	frequency	frequency	NOUN
easat-7976	87	21	,	,	PUNCT
easat-7976	87	22	and	and	CCONJ
easat-7976	87	23	nonlinear	nonlinear	ADJ
easat-7976	87	24	domains	domain	NOUN
easat-7976	87	25	.	.	PUNCT
easat-7976	88	1	the	the	DET
easat-7976	88	2	selected	select	VERB
easat-7976	88	3	features	feature	NOUN
easat-7976	88	4	included	include	VERB
easat-7976	88	5	mean	mean	ADJ
easat-7976	88	6	absolute	absolute	ADJ
easat-7976	88	7	value	value	NOUN
easat-7976	88	8	(	(	PUNCT
easat-7976	88	9	mav	mav	PROPN
easat-7976	88	10	)	)	PUNCT
easat-7976	88	11	,	,	PUNCT
easat-7976	88	12	integrated	integrated	ADJ
easat-7976	88	13	emg	emg	NOUN
easat-7976	88	14	(	(	PUNCT
easat-7976	88	15	iemg	iemg	NOUN
easat-7976	88	16	)	)	PUNCT
easat-7976	89	1	[	[	X
easat-7976	89	2	3	3	X
easat-7976	89	3	]	]	X
easat-7976	89	4	root	root	NOUN
easat-7976	89	5	mean	mean	NOUN
easat-7976	89	6	square	square	PROPN
easat-7976	89	7	(	(	PUNCT
easat-7976	89	8	rms	rm	NOUN
easat-7976	89	9	)	)	PUNCT
easat-7976	89	10	,	,	PUNCT
easat-7976	89	11	amplitude	amplitude	NOUN
easat-7976	89	12	range	range	NOUN
easat-7976	89	13	,	,	PUNCT
easat-7976	89	14	variance	variance	NOUN
easat-7976	89	15	,	,	PUNCT
easat-7976	89	16	and	and	CCONJ
easat-7976	89	17	waveform	waveform	VERB
easat-7976	89	18	length	length	NOUN
easat-7976	89	19	for	for	ADP
easat-7976	89	20	the	the	DET
easat-7976	89	21	time	time	NOUN
easat-7976	89	22	domain	domain	NOUN
easat-7976	89	23	.	.	PUNCT
easat-7976	90	1	in	in	ADP
easat-7976	90	2	the	the	DET
easat-7976	90	3	time	time	NOUN
easat-7976	90	4	-	-	PUNCT
easat-7976	90	5	frequency	frequency	NOUN
easat-7976	90	6	domain	domain	NOUN
easat-7976	90	7	,	,	PUNCT
easat-7976	90	8	the	the	DET
easat-7976	90	9	s	s	NOUN
easat-7976	90	10	-	-	PUNCT
easat-7976	90	11	transform	transform	VERB
easat-7976	90	12	and	and	CCONJ
easat-7976	90	13	wigner	wigner	NOUN
easat-7976	90	14	-	-	PUNCT
easat-7976	90	15	ville	ville	NOUN
easat-7976	90	16	distribution	distribution	NOUN
easat-7976	90	17	were	be	AUX
easat-7976	90	18	used	use	VERB
easat-7976	90	19	.	.	PUNCT
easat-7976	91	1	entropy	entropy	PROPN
easat-7976	91	2	and	and	CCONJ
easat-7976	91	3	hilbert	hilbert	PROPN
easat-7976	91	4	-	-	PUNCT
easat-7976	91	5	huang	huang	PROPN
easat-7976	91	6	transform	transform	NOUN
easat-7976	91	7	variance	variance	NOUN
easat-7976	91	8	were	be	AUX
easat-7976	91	9	computed	compute	VERB
easat-7976	91	10	as	as	ADP
easat-7976	91	11	nonlinear	nonlinear	ADJ
easat-7976	91	12	descriptors	descriptor	NOUN
easat-7976	91	13	.	.	PUNCT
easat-7976	92	1	these	these	DET
easat-7976	92	2	features	feature	NOUN
easat-7976	92	3	were	be	AUX
easat-7976	92	4	chosen	choose	VERB
easat-7976	92	5	based	base	VERB
easat-7976	92	6	on	on	ADP
easat-7976	92	7	their	their	PRON
easat-7976	92	8	strong	strong	ADJ
easat-7976	92	9	correlation	correlation	NOUN
easat-7976	92	10	with	with	ADP
easat-7976	92	11	force	force	NOUN
easat-7976	92	12	and	and	CCONJ
easat-7976	92	13	their	their	PRON
easat-7976	92	14	frequent	frequent	ADJ
easat-7976	92	15	appearance	appearance	NOUN
easat-7976	92	16	in	in	ADP
easat-7976	92	17	fatigue	fatigue	NOUN
easat-7976	92	18	-	-	PUNCT
easat-7976	92	19	related	relate	VERB
easat-7976	92	20	emg	emg	NOUN
easat-7976	92	21	studies	study	NOUN
easat-7976	92	22	.	.	PUNCT
easat-7976	93	1	these	these	PRON
easat-7976	93	2	are	be	AUX
easat-7976	93	3	used	use	VERB
easat-7976	93	4	as	as	ADP
easat-7976	93	5	input	input	NOUN
easat-7976	93	6	to	to	ADP
easat-7976	93	7	the	the	DET
easat-7976	93	8	classification	classification	NOUN
easat-7976	93	9	and	and	CCONJ
easat-7976	93	10	regression	regression	NOUN
easat-7976	93	11	models	model	NOUN
easat-7976	93	12	after	after	ADP
easat-7976	93	13	being	be	AUX
easat-7976	93	14	normalized	normalize	VERB
easat-7976	93	15	.	.	PUNCT
easat-7976	94	1	2.4	2.4	NUM
easat-7976	94	2	.	.	PUNCT
easat-7976	94	3	classification	classification	NOUN
easat-7976	94	4	models	model	NOUN
easat-7976	94	5	three	three	NUM
easat-7976	94	6	supervised	supervised	ADJ
easat-7976	94	7	classification	classification	NOUN
easat-7976	94	8	algorithms	algorithm	NOUN
easat-7976	94	9	were	be	AUX
easat-7976	94	10	employed	employ	VERB
easat-7976	94	11	in	in	ADP
easat-7976	94	12	this	this	DET
easat-7976	94	13	study	study	NOUN
easat-7976	94	14	to	to	PART
easat-7976	94	15	identify	identify	VERB
easat-7976	94	16	muscle	muscle	NOUN
easat-7976	94	17	fatigue	fatigue	NOUN
easat-7976	94	18	phases	phase	NOUN
easat-7976	94	19	based	base	VERB
easat-7976	94	20	solely	solely	ADV
easat-7976	94	21	on	on	ADP
easat-7976	94	22	emg	emg	NOUN
easat-7976	94	23	features	feature	VERB
easat-7976	94	24	:	:	PUNCT
easat-7976	94	25	linear	linear	VERB
easat-7976	94	26	discriminant	discriminant	ADJ
easat-7976	94	27	analysis	analysis	NOUN
easat-7976	94	28	(	(	PUNCT
easat-7976	94	29	lda	lda	PROPN
easat-7976	94	30	)	)	PUNCT
easat-7976	94	31	,	,	PUNCT
easat-7976	94	32	quadratic	quadratic	ADJ
easat-7976	94	33	discriminant	discriminant	ADJ
easat-7976	94	34	analysis	analysis	NOUN
easat-7976	94	35	(	(	PUNCT
easat-7976	94	36	qda	qda	NOUN
easat-7976	94	37	)	)	PUNCT
easat-7976	94	38	,	,	PUNCT
easat-7976	94	39	and	and	CCONJ
easat-7976	94	40	support	support	VERB
easat-7976	94	41	vector	vector	NOUN
easat-7976	94	42	machine	machine	NOUN
easat-7976	94	43	(	(	PUNCT
easat-7976	94	44	svm	svm	PROPN
easat-7976	94	45	)	)	PUNCT
easat-7976	94	46	with	with	ADP
easat-7976	94	47	a	a	DET
easat-7976	94	48	linear	linear	ADJ
easat-7976	94	49	kernel	kernel	NOUN
easat-7976	94	50	.	.	PUNCT
easat-7976	95	1	each	each	PRON
easat-7976	95	2	of	of	ADP
easat-7976	95	3	these	these	DET
easat-7976	95	4	models	model	NOUN
easat-7976	95	5	was	be	AUX
easat-7976	95	6	trained	train	VERB
easat-7976	95	7	using	use	VERB
easat-7976	95	8	a	a	DET
easat-7976	95	9	matrix	matrix	NOUN
easat-7976	95	10	of	of	ADP
easat-7976	95	11	11	11	NUM
easat-7976	95	12	features	feature	NOUN
easat-7976	95	13	extracted	extract	VERB
easat-7976	95	14	from	from	ADP
easat-7976	95	15	emg	emg	NOUN
easat-7976	95	16	signal	signal	NOUN
easat-7976	95	17	segments	segment	NOUN
easat-7976	95	18	,	,	PUNCT
easat-7976	95	19	with	with	ADP
easat-7976	95	20	corresponding	corresponding	ADJ
easat-7976	95	21	labels	label	NOUN
easat-7976	95	22	representing	represent	VERB
easat-7976	95	23	one	one	NUM
easat-7976	95	24	of	of	ADP
easat-7976	95	25	three	three	NUM
easat-7976	95	26	fatigue	fatigue	NOUN
easat-7976	95	27	states	state	NOUN
easat-7976	95	28	:	:	PUNCT
easat-7976	95	29	non	non	ADJ
easat-7976	95	30	-	-	ADJ
easat-7976	95	31	fatigue	fatigue	ADJ
easat-7976	95	32	,	,	PUNCT
easat-7976	95	33	transition	transition	NOUN
easat-7976	95	34	,	,	PUNCT
easat-7976	95	35	or	or	CCONJ
easat-7976	95	36	fatigue	fatigue	NOUN
easat-7976	95	37	.	.	PUNCT
easat-7976	96	1	the	the	DET
easat-7976	96	2	selection	selection	NOUN
easat-7976	96	3	of	of	ADP
easat-7976	96	4	these	these	DET
easat-7976	96	5	models	model	NOUN
easat-7976	96	6	was	be	AUX
easat-7976	96	7	motivated	motivate	VERB
easat-7976	96	8	by	by	ADP
easat-7976	96	9	their	their	PRON
easat-7976	96	10	complementary	complementary	ADJ
easat-7976	96	11	strengths	strength	NOUN
easat-7976	96	12	in	in	ADP
easat-7976	96	13	handling	handle	VERB
easat-7976	96	14	different	different	ADJ
easat-7976	96	15	data	datum	NOUN
easat-7976	96	16	distributions	distribution	NOUN
easat-7976	96	17	and	and	CCONJ
easat-7976	96	18	decision	decision	NOUN
easat-7976	96	19	boundary	boundary	ADJ
easat-7976	96	20	complexities	complexity	NOUN
easat-7976	96	21	.	.	PUNCT
easat-7976	97	1	linear	linear	ADJ
easat-7976	97	2	discriminant	discriminant	ADJ
easat-7976	97	3	analysis	analysis	NOUN
easat-7976	97	4	(	(	PUNCT
easat-7976	97	5	lda	lda	PROPN
easat-7976	97	6	)	)	PUNCT
easat-7976	97	7	,	,	PUNCT
easat-7976	97	8	assuming	assume	VERB
easat-7976	97	9	that	that	SCONJ
easat-7976	97	10	each	each	DET
easat-7976	97	11	class	class	NOUN
easat-7976	97	12	’s	’s	PART
easat-7976	97	13	data	datum	NOUN
easat-7976	97	14	are	be	AUX
easat-7976	97	15	normally	normally	ADV
easat-7976	97	16	distributed	distribute	VERB
easat-7976	97	17	with	with	ADP
easat-7976	97	18	matching	match	VERB
easat-7976	97	19	covariance	covariance	NOUN
easat-7976	97	20	matrices	matrix	NOUN
easat-7976	97	21	,	,	PUNCT
easat-7976	97	22	linear	linear	ADJ
easat-7976	97	23	discriminant	discriminant	ADJ
easat-7976	97	24	analysis	analysis	NOUN
easat-7976	97	25	(	(	PUNCT
easat-7976	97	26	lda	lda	PROPN
easat-7976	97	27	)	)	PUNCT
easat-7976	97	28	stands	stand	VERB
easat-7976	97	29	as	as	ADP
easat-7976	97	30	a	a	DET
easat-7976	97	31	traditional	traditional	ADJ
easat-7976	97	32	classifier	classifier	NOUN
easat-7976	97	33	;	;	PUNCT
easat-7976	97	34	it	it	PRON
easat-7976	97	35	projects	project	VERB
easat-7976	97	36	features	feature	NOUN
easat-7976	97	37	from	from	ADP
easat-7976	97	38	a	a	DET
easat-7976	97	39	high	high	ADJ
easat-7976	97	40	-	-	PUNCT
easat-7976	97	41	dimensional	dimensional	ADJ
easat-7976	97	42	space	space	NOUN
easat-7976	97	43	into	into	ADP
easat-7976	97	44	a	a	DET
easat-7976	97	45	lower	low	ADJ
easat-7976	97	46	one	one	NOUN
easat-7976	97	47	,	,	PUNCT
easat-7976	97	48	seeking	seek	VERB
easat-7976	97	49	to	to	PART
easat-7976	97	50	increase	increase	VERB
easat-7976	97	51	the	the	DET
easat-7976	97	52	gap	gap	NOUN
easat-7976	97	53	between	between	ADP
easat-7976	97	54	class	class	NOUN
easat-7976	97	55	means	mean	VERB
easat-7976	97	56	and	and	CCONJ
easat-7976	97	57	reduce	reduce	VERB
easat-7976	97	58	variance	variance	NOUN
easat-7976	97	59	within	within	ADP
easat-7976	97	60	classes	class	NOUN
easat-7976	97	61	.	.	PUNCT
easat-7976	98	1	widely	widely	ADV
easat-7976	98	2	employed	employ	VERB
easat-7976	98	3	in	in	ADP
easat-7976	98	4	emg	emg	NOUN
easat-7976	98	5	-	-	PUNCT
easat-7976	98	6	based	base	VERB
easat-7976	98	7	fatigue	fatigue	NOUN
easat-7976	98	8	detection	detection	NOUN
easat-7976	98	9	,	,	PUNCT
easat-7976	98	10	lda	lda	PROPN
easat-7976	98	11	owes	owe	VERB
easat-7976	98	12	its	its	PRON
easat-7976	98	13	frequent	frequent	ADJ
easat-7976	98	14	use	use	NOUN
easat-7976	98	15	to	to	ADP
easat-7976	98	16	simplicity	simplicity	NOUN
easat-7976	98	17	and	and	CCONJ
easat-7976	98	18	interpretability	interpretability	NOUN
easat-7976	98	19	—	—	PUNCT
easat-7976	98	20	particularly	particularly	ADV
easat-7976	98	21	when	when	SCONJ
easat-7976	98	22	data	datum	NOUN
easat-7976	98	23	separate	separate	VERB
easat-7976	98	24	linearly	linearly	ADV
easat-7976	98	25	.	.	PUNCT
easat-7976	99	1	the	the	DET
easat-7976	99	2	linear	linear	ADJ
easat-7976	99	3	decision	decision	NOUN
easat-7976	99	4	boundaries	boundary	NOUN
easat-7976	99	5	produced	produce	VERB
easat-7976	99	6	by	by	ADP
easat-7976	99	7	lda	lda	PROPN
easat-7976	99	8	are	be	AUX
easat-7976	99	9	computationally	computationally	ADV
easat-7976	99	10	efficient	efficient	ADJ
easat-7976	99	11	,	,	PUNCT
easat-7976	99	12	making	make	VERB
easat-7976	99	13	it	it	PRON
easat-7976	99	14	particularly	particularly	ADV
easat-7976	99	15	suitable	suitable	ADJ
easat-7976	99	16	for	for	ADP
easat-7976	99	17	real	real	ADJ
easat-7976	99	18	-	-	PUNCT
easat-7976	99	19	time	time	NOUN
easat-7976	99	20	applications	application	NOUN
easat-7976	99	21	where	where	SCONJ
easat-7976	99	22	quick	quick	ADJ
easat-7976	99	23	inference	inference	NOUN
easat-7976	99	24	is	be	AUX
easat-7976	99	25	required	require	VERB
easat-7976	99	26	.	.	PUNCT
easat-7976	100	1	although	although	SCONJ
easat-7976	100	2	lda	lda	PROPN
easat-7976	100	3	performs	perform	VERB
easat-7976	100	4	well	well	ADV
easat-7976	100	5	when	when	SCONJ
easat-7976	100	6	the	the	DET
easat-7976	100	7	class	class	NOUN
easat-7976	100	8	distributions	distribution	NOUN
easat-7976	100	9	overlap	overlap	VERB
easat-7976	100	10	moderately	moderately	ADV
easat-7976	100	11	and	and	CCONJ
easat-7976	100	12	are	be	AUX
easat-7976	100	13	roughly	roughly	ADV
easat-7976	100	14	gaussian	gaussian	ADJ
easat-7976	100	15	,	,	PUNCT
easat-7976	100	16	its	its	PRON
easat-7976	100	17	performance	performance	NOUN
easat-7976	100	18	may	may	AUX
easat-7976	100	19	decline	decline	VERB
easat-7976	100	20	when	when	SCONJ
easat-7976	100	21	the	the	DET
easat-7976	100	22	true	true	ADJ
easat-7976	100	23	class	class	NOUN
easat-7976	100	24	boundaries	boundary	NOUN
easat-7976	100	25	are	be	AUX
easat-7976	100	26	nonlinear	nonlinear	ADJ
easat-7976	100	27	or	or	CCONJ
easat-7976	100	28	when	when	SCONJ
easat-7976	100	29	the	the	DET
easat-7976	100	30	class	class	NOUN
easat-7976	100	31	covariances	covariance	NOUN
easat-7976	100	32	differ	differ	VERB
easat-7976	100	33	significantly	significantly	ADV
easat-7976	100	34	.	.	PUNCT
easat-7976	101	1	quadratic	quadratic	ADJ
easat-7976	101	2	discriminant	discriminant	ADJ
easat-7976	101	3	analysis	analysis	NOUN
easat-7976	101	4	(	(	PUNCT
easat-7976	101	5	qda	qda	NOUN
easat-7976	101	6	)	)	PUNCT
easat-7976	101	7	extends	extend	VERB
easat-7976	101	8	lda	lda	VERB
easat-7976	101	9	by	by	ADP
easat-7976	101	10	allowing	allow	VERB
easat-7976	101	11	each	each	DET
easat-7976	101	12	class	class	NOUN
easat-7976	101	13	to	to	PART
easat-7976	101	14	have	have	VERB
easat-7976	101	15	its	its	PRON
easat-7976	101	16	own	own	ADJ
easat-7976	101	17	covariance	covariance	NOUN
easat-7976	101	18	matrix	matrix	NOUN
easat-7976	101	19	,	,	PUNCT
easat-7976	101	20	thus	thus	ADV
easat-7976	101	21	relaxing	relax	VERB
easat-7976	101	22	the	the	DET
easat-7976	101	23	assumption	assumption	NOUN
easat-7976	101	24	of	of	ADP
easat-7976	101	25	homoscedasticity	homoscedasticity	NOUN
easat-7976	101	26	.	.	PUNCT
easat-7976	102	1	this	this	PRON
easat-7976	102	2	enables	enable	VERB
easat-7976	102	3	qda	qda	NOUN
easat-7976	102	4	to	to	PART
easat-7976	102	5	model	model	VERB
easat-7976	102	6	more	more	ADV
easat-7976	102	7	complex	complex	ADJ
easat-7976	102	8	,	,	PUNCT
easat-7976	102	9	curved	curved	ADJ
easat-7976	102	10	decision	decision	NOUN
easat-7976	102	11	boundaries	boundary	NOUN
easat-7976	102	12	,	,	PUNCT
easat-7976	102	13	which	which	PRON
easat-7976	102	14	can	can	AUX
easat-7976	102	15	better	well	ADV
easat-7976	102	16	fit	fit	VERB
easat-7976	102	17	data	datum	NOUN
easat-7976	102	18	exhibiting	exhibit	VERB
easat-7976	102	19	nonlinearity	nonlinearity	NOUN
easat-7976	102	20	in	in	ADP
easat-7976	102	21	the	the	DET
easat-7976	102	22	feature	feature	NOUN
easat-7976	102	23	930	930	NUM
easat-7976	102	24	edelweiss	edelweiss	PROPN
easat-7976	102	25	applied	apply	VERB
easat-7976	102	26	science	science	NOUN
easat-7976	102	27	and	and	CCONJ
easat-7976	102	28	technology	technology	NOUN
easat-7976	102	29	issn	issn	PROPN
easat-7976	102	30	:	:	PUNCT
easat-7976	102	31	2576	2576	NUM
easat-7976	102	32	-	-	SYM
easat-7976	102	33	8484	8484	NUM
easat-7976	102	34	vol	vol	NOUN
easat-7976	102	35	.	.	PROPN
easat-7976	103	1	9	9	NUM
easat-7976	103	2	,	,	PUNCT
easat-7976	103	3	no	no	INTJ
easat-7976	103	4	.	.	NOUN
easat-7976	104	1	6	6	NUM
easat-7976	104	2	:	:	SYM
easat-7976	104	3	925	925	NUM
easat-7976	104	4	-	-	SYM
easat-7976	104	5	938	938	NUM
easat-7976	104	6	,	,	PUNCT
easat-7976	104	7	2025	2025	NUM
easat-7976	104	8	doi	doi	NOUN
easat-7976	104	9	:	:	PUNCT
easat-7976	104	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	104	11	©	©	PROPN
easat-7976	104	12	2025	2025	NUM
easat-7976	104	13	by	by	ADP
easat-7976	104	14	the	the	DET
easat-7976	104	15	authors	author	NOUN
easat-7976	104	16	;	;	PUNCT
easat-7976	104	17	licensee	licensee	PROPN
easat-7976	104	18	learning	learn	VERB
easat-7976	104	19	gate	gate	NOUN
easat-7976	104	20	space	space	NOUN
easat-7976	104	21	.	.	PUNCT
easat-7976	105	1	in	in	ADP
easat-7976	105	2	the	the	DET
easat-7976	105	3	case	case	NOUN
easat-7976	105	4	of	of	ADP
easat-7976	105	5	emg	emg	NOUN
easat-7976	105	6	signals	signal	NOUN
easat-7976	105	7	,	,	PUNCT
easat-7976	105	8	where	where	SCONJ
easat-7976	105	9	the	the	DET
easat-7976	105	10	feature	feature	NOUN
easat-7976	105	11	distributions	distribution	NOUN
easat-7976	105	12	across	across	ADP
easat-7976	105	13	different	different	ADJ
easat-7976	105	14	fatigue	fatigue	NOUN
easat-7976	105	15	states	state	NOUN
easat-7976	105	16	may	may	AUX
easat-7976	105	17	vary	vary	VERB
easat-7976	105	18	in	in	ADP
easat-7976	105	19	both	both	CCONJ
easat-7976	105	20	shape	shape	NOUN
easat-7976	105	21	and	and	CCONJ
easat-7976	105	22	spread	spread	NOUN
easat-7976	105	23	,	,	PUNCT
easat-7976	105	24	qda	qda	NOUN
easat-7976	105	25	can	can	AUX
easat-7976	105	26	provide	provide	VERB
easat-7976	105	27	enhanced	enhanced	ADJ
easat-7976	105	28	discrimination	discrimination	NOUN
easat-7976	105	29	performance	performance	NOUN
easat-7976	105	30	compared	compare	VERB
easat-7976	105	31	to	to	ADP
easat-7976	105	32	lda	lda	PROPN
easat-7976	105	33	.	.	PUNCT
easat-7976	106	1	however	however	ADV
easat-7976	106	2	,	,	PUNCT
easat-7976	106	3	this	this	DET
easat-7976	106	4	flexibility	flexibility	NOUN
easat-7976	106	5	comes	come	VERB
easat-7976	106	6	at	at	ADP
easat-7976	106	7	the	the	DET
easat-7976	106	8	cost	cost	NOUN
easat-7976	106	9	of	of	ADP
easat-7976	106	10	increased	increase	VERB
easat-7976	106	11	model	model	NOUN
easat-7976	106	12	complexity	complexity	NOUN
easat-7976	106	13	and	and	CCONJ
easat-7976	106	14	a	a	DET
easat-7976	106	15	higher	high	ADJ
easat-7976	106	16	number	number	NOUN
easat-7976	106	17	of	of	ADP
easat-7976	106	18	parameters	parameter	NOUN
easat-7976	106	19	to	to	PART
easat-7976	106	20	estimate	estimate	VERB
easat-7976	106	21	,	,	PUNCT
easat-7976	106	22	making	make	VERB
easat-7976	106	23	qda	qda	NOUN
easat-7976	106	24	more	more	ADV
easat-7976	106	25	sensitive	sensitive	ADJ
easat-7976	106	26	to	to	ADP
easat-7976	106	27	overfitting	overfitte	VERB
easat-7976	106	28	,	,	PUNCT
easat-7976	106	29	particularly	particularly	ADV
easat-7976	106	30	when	when	SCONJ
easat-7976	106	31	the	the	DET
easat-7976	106	32	training	training	NOUN
easat-7976	106	33	dataset	dataset	NOUN
easat-7976	106	34	is	be	AUX
easat-7976	106	35	limited	limit	VERB
easat-7976	106	36	or	or	CCONJ
easat-7976	106	37	imbalanced	imbalanced	ADJ
easat-7976	106	38	.	.	PUNCT
easat-7976	107	1	nevertheless	nevertheless	ADV
easat-7976	107	2	,	,	PUNCT
easat-7976	107	3	when	when	SCONJ
easat-7976	107	4	the	the	DET
easat-7976	107	5	class	class	NOUN
easat-7976	107	6	-	-	PUNCT
easat-7976	107	7	specific	specific	ADJ
easat-7976	107	8	distributions	distribution	NOUN
easat-7976	107	9	are	be	AUX
easat-7976	107	10	distinct	distinct	ADJ
easat-7976	107	11	,	,	PUNCT
easat-7976	107	12	qda	qda	NOUN
easat-7976	107	13	can	can	AUX
easat-7976	107	14	significantly	significantly	ADV
easat-7976	107	15	outperform	outperform	VERB
easat-7976	107	16	linear	linear	ADJ
easat-7976	107	17	models	model	NOUN
easat-7976	107	18	.	.	PUNCT
easat-7976	108	1	support	support	NOUN
easat-7976	108	2	vector	vector	NOUN
easat-7976	108	3	machine	machine	NOUN
easat-7976	108	4	(	(	PUNCT
easat-7976	108	5	svm	svm	PROPN
easat-7976	108	6	)	)	PUNCT
easat-7976	108	7	with	with	ADP
easat-7976	108	8	a	a	DET
easat-7976	108	9	linear	linear	ADJ
easat-7976	108	10	kernel	kernel	NOUN
easat-7976	108	11	was	be	AUX
easat-7976	108	12	also	also	ADV
easat-7976	108	13	utilized	utilize	VERB
easat-7976	108	14	due	due	ADP
easat-7976	108	15	to	to	ADP
easat-7976	108	16	its	its	PRON
easat-7976	108	17	robustness	robustness	NOUN
easat-7976	108	18	and	and	CCONJ
easat-7976	108	19	strong	strong	ADJ
easat-7976	108	20	theoretical	theoretical	ADJ
easat-7976	108	21	foundations	foundation	NOUN
easat-7976	108	22	in	in	ADP
easat-7976	108	23	maximizing	maximize	VERB
easat-7976	108	24	the	the	DET
easat-7976	108	25	margin	margin	NOUN
easat-7976	108	26	between	between	ADP
easat-7976	108	27	classes	class	NOUN
easat-7976	108	28	.	.	PUNCT
easat-7976	109	1	svm	svm	PROPN
easat-7976	109	2	aims	aim	VERB
easat-7976	109	3	to	to	PART
easat-7976	109	4	find	find	VERB
easat-7976	109	5	the	the	DET
easat-7976	109	6	optimal	optimal	ADJ
easat-7976	109	7	hyperplane	hyperplane	NOUN
easat-7976	109	8	that	that	PRON
easat-7976	109	9	separates	separate	VERB
easat-7976	109	10	the	the	DET
easat-7976	109	11	data	data	NOUN
easat-7976	109	12	classes	class	NOUN
easat-7976	109	13	with	with	ADP
easat-7976	109	14	the	the	DET
easat-7976	109	15	largest	large	ADJ
easat-7976	109	16	possible	possible	ADJ
easat-7976	109	17	margin	margin	NOUN
easat-7976	109	18	,	,	PUNCT
easat-7976	109	19	leading	lead	VERB
easat-7976	109	20	to	to	ADP
easat-7976	109	21	better	well	ADJ
easat-7976	109	22	generalization	generalization	NOUN
easat-7976	109	23	performance	performance	NOUN
easat-7976	109	24	.	.	PUNCT
easat-7976	110	1	the	the	DET
easat-7976	110	2	use	use	NOUN
easat-7976	110	3	of	of	ADP
easat-7976	110	4	a	a	DET
easat-7976	110	5	linear	linear	ADJ
easat-7976	110	6	kernel	kernel	NOUN
easat-7976	110	7	assumes	assume	VERB
easat-7976	110	8	that	that	SCONJ
easat-7976	110	9	the	the	DET
easat-7976	110	10	classes	class	NOUN
easat-7976	110	11	can	can	AUX
easat-7976	110	12	be	be	AUX
easat-7976	110	13	effectively	effectively	ADV
easat-7976	110	14	separated	separate	VERB
easat-7976	110	15	in	in	ADP
easat-7976	110	16	the	the	DET
easat-7976	110	17	original	original	ADJ
easat-7976	110	18	feature	feature	NOUN
easat-7976	110	19	space	space	NOUN
easat-7976	110	20	without	without	ADP
easat-7976	110	21	the	the	DET
easat-7976	110	22	need	need	NOUN
easat-7976	110	23	for	for	ADP
easat-7976	110	24	nonlinear	nonlinear	ADJ
easat-7976	110	25	transformation	transformation	NOUN
easat-7976	110	26	.	.	PUNCT
easat-7976	111	1	this	this	DET
easat-7976	111	2	assumption	assumption	NOUN
easat-7976	111	3	is	be	AUX
easat-7976	111	4	consistent	consistent	ADJ
easat-7976	111	5	with	with	ADP
easat-7976	111	6	prior	prior	ADJ
easat-7976	111	7	findings	finding	NOUN
easat-7976	111	8	suggesting	suggest	VERB
easat-7976	111	9	that	that	SCONJ
easat-7976	111	10	well	well	ADV
easat-7976	111	11	-	-	PUNCT
easat-7976	111	12	selected	select	VERB
easat-7976	111	13	emg	emg	NOUN
easat-7976	111	14	features	feature	NOUN
easat-7976	111	15	may	may	AUX
easat-7976	111	16	form	form	VERB
easat-7976	111	17	linearly	linearly	ADV
easat-7976	111	18	separable	separable	ADJ
easat-7976	111	19	clusters	cluster	NOUN
easat-7976	111	20	for	for	ADP
easat-7976	111	21	different	different	ADJ
easat-7976	111	22	fatigue	fatigue	NOUN
easat-7976	111	23	stages	stage	NOUN
easat-7976	111	24	.	.	PUNCT
easat-7976	112	1	svms	svms	NOUN
easat-7976	112	2	are	be	AUX
easat-7976	112	3	particularly	particularly	ADV
easat-7976	112	4	powerful	powerful	ADJ
easat-7976	112	5	in	in	ADP
easat-7976	112	6	high	high	ADJ
easat-7976	112	7	-	-	PUNCT
easat-7976	112	8	dimensional	dimensional	ADJ
easat-7976	112	9	spaces	space	NOUN
easat-7976	112	10	and	and	CCONJ
easat-7976	112	11	are	be	AUX
easat-7976	112	12	less	less	ADV
easat-7976	112	13	prone	prone	ADJ
easat-7976	112	14	to	to	ADP
easat-7976	112	15	overfitting	overfitte	VERB
easat-7976	112	16	when	when	SCONJ
easat-7976	112	17	the	the	DET
easat-7976	112	18	number	number	NOUN
easat-7976	112	19	of	of	ADP
easat-7976	112	20	features	feature	NOUN
easat-7976	112	21	exceeds	exceed	VERB
easat-7976	112	22	the	the	DET
easat-7976	112	23	number	number	NOUN
easat-7976	112	24	of	of	ADP
easat-7976	112	25	observations	observation	NOUN
easat-7976	112	26	.	.	PUNCT
easat-7976	113	1	their	their	PRON
easat-7976	113	2	insensitivity	insensitivity	NOUN
easat-7976	113	3	to	to	ADP
easat-7976	113	4	outliers	outlier	NOUN
easat-7976	113	5	and	and	CCONJ
easat-7976	113	6	strong	strong	ADJ
easat-7976	113	7	performance	performance	NOUN
easat-7976	113	8	on	on	ADP
easat-7976	113	9	small	small	ADJ
easat-7976	113	10	datasets	dataset	NOUN
easat-7976	113	11	make	make	VERB
easat-7976	113	12	them	they	PRON
easat-7976	113	13	well	well	ADV
easat-7976	113	14	-	-	PUNCT
easat-7976	113	15	suited	suit	VERB
easat-7976	113	16	for	for	ADP
easat-7976	113	17	biomedical	biomedical	ADJ
easat-7976	113	18	applications	application	NOUN
easat-7976	113	19	such	such	ADJ
easat-7976	113	20	as	as	ADP
easat-7976	113	21	fatigue	fatigue	NOUN
easat-7976	113	22	phase	phase	NOUN
easat-7976	113	23	classification	classification	NOUN
easat-7976	113	24	.	.	PUNCT
easat-7976	114	1	across	across	ADP
easat-7976	114	2	the	the	DET
easat-7976	114	3	board	board	NOUN
easat-7976	114	4	,	,	PUNCT
easat-7976	114	5	the	the	DET
easat-7976	114	6	three	three	NUM
easat-7976	114	7	classifiers	classifier	NOUN
easat-7976	114	8	—	—	PUNCT
easat-7976	114	9	lda	lda	PROPN
easat-7976	114	10	,	,	PUNCT
easat-7976	114	11	qda	qda	PROPN
easat-7976	114	12	,	,	PUNCT
easat-7976	114	13	and	and	CCONJ
easat-7976	114	14	linear	linear	PROPN
easat-7976	114	15	svm	svm	PROPN
easat-7976	114	16	—	—	PUNCT
easat-7976	114	17	were	be	AUX
easat-7976	114	18	selected	select	VERB
easat-7976	114	19	due	due	ADP
easat-7976	114	20	to	to	ADP
easat-7976	114	21	a	a	DET
easat-7976	114	22	balance	balance	NOUN
easat-7976	114	23	struck	strike	VERB
easat-7976	114	24	among	among	ADP
easat-7976	114	25	interpretability	interpretability	NOUN
easat-7976	114	26	,	,	PUNCT
easat-7976	114	27	computational	computational	ADJ
easat-7976	114	28	efficiency	efficiency	NOUN
easat-7976	114	29	,	,	PUNCT
easat-7976	114	30	and	and	CCONJ
easat-7976	114	31	classification	classification	NOUN
easat-7976	114	32	strength	strength	NOUN
easat-7976	114	33	;	;	PUNCT
easat-7976	114	34	their	their	PRON
easat-7976	114	35	relative	relative	ADJ
easat-7976	114	36	effectiveness	effectiveness	NOUN
easat-7976	114	37	was	be	AUX
easat-7976	114	38	assessed	assess	VERB
easat-7976	114	39	to	to	PART
easat-7976	114	40	identify	identify	VERB
easat-7976	114	41	the	the	DET
easat-7976	114	42	best	good	ADJ
easat-7976	114	43	fit	fit	NOUN
easat-7976	114	44	for	for	ADP
easat-7976	114	45	fatigue	fatigue	NOUN
easat-7976	114	46	phase	phase	NOUN
easat-7976	114	47	classification	classification	NOUN
easat-7976	114	48	using	use	VERB
easat-7976	114	49	emgderived	emgderived	ADJ
easat-7976	114	50	features	feature	NOUN
easat-7976	114	51	.	.	PUNCT
easat-7976	115	1	drawing	draw	VERB
easat-7976	115	2	on	on	ADP
easat-7976	115	3	demura	demura	NOUN
easat-7976	115	4	,	,	PUNCT
easat-7976	115	5	et	et	PROPN
easat-7976	115	6	al	al	PROPN
easat-7976	115	7	.	.	PUNCT
easat-7976	116	1	[	[	X
easat-7976	116	2	18	18	NUM
easat-7976	116	3	]	]	PUNCT
easat-7976	116	4	the	the	DET
easat-7976	116	5	fatigue	fatigue	NOUN
easat-7976	116	6	phase	phase	NOUN
easat-7976	116	7	onset	onset	NOUN
easat-7976	116	8	linked	link	VERB
easat-7976	116	9	to	to	ADP
easat-7976	116	10	force	force	VERB
easat-7976	116	11	falling	fall	VERB
easat-7976	116	12	beneath	beneath	ADP
easat-7976	116	13	30	30	NUM
easat-7976	116	14	%	%	NOUN
easat-7976	116	15	of	of	ADP
easat-7976	116	16	maximum	maximum	ADJ
easat-7976	116	17	voluntary	voluntary	ADJ
easat-7976	116	18	contraction	contraction	NOUN
easat-7976	116	19	(	(	PUNCT
easat-7976	116	20	mvc)—a	mvc)—a	NOUN
easat-7976	116	21	pattern	pattern	NOUN
easat-7976	116	22	notably	notably	ADV
easat-7976	116	23	observed	observe	VERB
easat-7976	116	24	in	in	ADP
easat-7976	116	25	males	male	NOUN
easat-7976	116	26	.	.	PUNCT
easat-7976	117	1	their	their	PRON
easat-7976	117	2	findings	finding	NOUN
easat-7976	117	3	showed	show	VERB
easat-7976	117	4	that	that	SCONJ
easat-7976	117	5	men	man	NOUN
easat-7976	117	6	’s	’s	PART
easat-7976	117	7	sustained	sustained	ADJ
easat-7976	117	8	force	force	NOUN
easat-7976	117	9	decreased	decrease	VERB
easat-7976	117	10	to	to	ADP
easat-7976	117	11	about	about	ADP
easat-7976	117	12	26	26	NUM
easat-7976	117	13	%	%	NOUN
easat-7976	117	14	mvc	mvc	NOUN
easat-7976	117	15	,	,	PUNCT
easat-7976	117	16	reinforcing	reinforce	VERB
easat-7976	117	17	that	that	SCONJ
easat-7976	117	18	such	such	DET
easat-7976	117	19	a	a	DET
easat-7976	117	20	threshold	threshold	NOUN
easat-7976	117	21	marks	mark	VERB
easat-7976	117	22	a	a	DET
easat-7976	117	23	clear	clear	ADJ
easat-7976	117	24	fatigue	fatigue	NOUN
easat-7976	117	25	condition	condition	NOUN
easat-7976	117	26	.	.	PUNCT
easat-7976	118	1	here	here	ADV
easat-7976	118	2	,	,	PUNCT
easat-7976	118	3	segments	segment	NOUN
easat-7976	118	4	registering	register	VERB
easat-7976	118	5	force	force	NOUN
easat-7976	118	6	≥90	≥90	NOUN
easat-7976	118	7	%	%	NOUN
easat-7976	118	8	mvc	mvc	NOUN
easat-7976	118	9	were	be	AUX
easat-7976	118	10	classified	classify	VERB
easat-7976	118	11	as	as	ADP
easat-7976	118	12	non	non	ADJ
easat-7976	118	13	-	-	NOUN
easat-7976	118	14	fatigue	fatigue	NOUN
easat-7976	118	15	;	;	PUNCT
easat-7976	118	16	those	those	PRON
easat-7976	118	17	ranging	range	VERB
easat-7976	118	18	from	from	ADP
easat-7976	118	19	70–90	70–90	NUM
easat-7976	118	20	%	%	NOUN
easat-7976	118	21	as	as	ADP
easat-7976	118	22	transition	transition	NOUN
easat-7976	118	23	;	;	PUNCT
easat-7976	118	24	and	and	CCONJ
easat-7976	118	25	segments	segment	NOUN
easat-7976	118	26	at	at	ADP
easat-7976	118	27	or	or	CCONJ
easat-7976	118	28	below	below	ADP
easat-7976	118	29	70	70	NUM
easat-7976	118	30	%	%	NOUN
easat-7976	118	31	as	as	ADP
easat-7976	118	32	fatigue	fatigue	NOUN
easat-7976	118	33	.	.	PUNCT
easat-7976	119	1	this	this	DET
easat-7976	119	2	method	method	NOUN
easat-7976	119	3	of	of	ADP
easat-7976	119	4	thresholding	thresholding	NOUN
easat-7976	119	5	enabled	enable	VERB
easat-7976	119	6	a	a	DET
easat-7976	119	7	segmentation	segmentation	NOUN
easat-7976	119	8	of	of	ADP
easat-7976	119	9	muscle	muscle	NOUN
easat-7976	119	10	performance	performance	NOUN
easat-7976	119	11	during	during	ADP
easat-7976	119	12	sustained	sustained	ADJ
easat-7976	119	13	contraction	contraction	NOUN
easat-7976	119	14	that	that	PRON
easat-7976	119	15	aligns	align	VERB
easat-7976	119	16	with	with	ADP
easat-7976	119	17	physiological	physiological	ADJ
easat-7976	119	18	expectations	expectation	NOUN
easat-7976	119	19	.	.	PUNCT
easat-7976	120	1	2.5	2.5	NUM
easat-7976	120	2	.	.	PUNCT
easat-7976	121	1	regression	regression	NOUN
easat-7976	121	2	approach	approach	VERB
easat-7976	121	3	a	a	DET
easat-7976	121	4	multiple	multiple	ADJ
easat-7976	121	5	linear	linear	ADJ
easat-7976	121	6	regression	regression	NOUN
easat-7976	121	7	(	(	PUNCT
easat-7976	121	8	mlr	mlr	NOUN
easat-7976	121	9	)	)	PUNCT
easat-7976	121	10	model	model	NOUN
easat-7976	121	11	was	be	AUX
easat-7976	121	12	implemented	implement	VERB
easat-7976	121	13	to	to	PART
easat-7976	121	14	estimate	estimate	VERB
easat-7976	121	15	continuous	continuous	ADJ
easat-7976	121	16	muscle	muscle	NOUN
easat-7976	121	17	force	force	NOUN
easat-7976	121	18	values	value	NOUN
easat-7976	121	19	directly	directly	ADV
easat-7976	121	20	from	from	ADP
easat-7976	121	21	the	the	DET
easat-7976	121	22	emg	emg	NOUN
easat-7976	121	23	-	-	PUNCT
easat-7976	121	24	derived	derive	VERB
easat-7976	121	25	feature	feature	NOUN
easat-7976	121	26	matrix	matrix	NOUN
easat-7976	121	27	.	.	PUNCT
easat-7976	122	1	unlike	unlike	ADP
easat-7976	122	2	classification	classification	NOUN
easat-7976	122	3	models	model	NOUN
easat-7976	122	4	,	,	PUNCT
easat-7976	122	5	which	which	PRON
easat-7976	122	6	assign	assign	VERB
easat-7976	122	7	discrete	discrete	ADJ
easat-7976	122	8	class	class	NOUN
easat-7976	122	9	labels	label	NOUN
easat-7976	122	10	to	to	PART
easat-7976	122	11	predefined	predefine	VERB
easat-7976	122	12	fatigue	fatigue	NOUN
easat-7976	122	13	phases	phase	NOUN
easat-7976	122	14	(	(	PUNCT
easat-7976	122	15	non	non	ADJ
easat-7976	122	16	-	-	ADJ
easat-7976	122	17	fatigue	fatigue	ADJ
easat-7976	122	18	,	,	PUNCT
easat-7976	122	19	transition	transition	NOUN
easat-7976	122	20	,	,	PUNCT
easat-7976	122	21	fatigue	fatigue	NOUN
easat-7976	122	22	)	)	PUNCT
easat-7976	122	23	,	,	PUNCT
easat-7976	122	24	the	the	DET
easat-7976	122	25	regression	regression	NOUN
easat-7976	122	26	approach	approach	NOUN
easat-7976	122	27	retains	retain	VERB
easat-7976	122	28	the	the	DET
easat-7976	122	29	continuous	continuous	ADJ
easat-7976	122	30	nature	nature	NOUN
easat-7976	122	31	of	of	ADP
easat-7976	122	32	the	the	DET
easat-7976	122	33	underlying	underlying	ADJ
easat-7976	122	34	physiological	physiological	ADJ
easat-7976	122	35	signal	signal	NOUN
easat-7976	122	36	.	.	PUNCT
easat-7976	123	1	mlr	mlr	NOUN
easat-7976	123	2	is	be	AUX
easat-7976	123	3	a	a	DET
easat-7976	123	4	statistical	statistical	ADJ
easat-7976	123	5	method	method	NOUN
easat-7976	123	6	that	that	PRON
easat-7976	123	7	models	model	VERB
easat-7976	123	8	the	the	DET
easat-7976	123	9	relationship	relationship	NOUN
easat-7976	123	10	between	between	ADP
easat-7976	123	11	one	one	NUM
easat-7976	123	12	dependent	dependent	ADJ
easat-7976	123	13	variable	variable	NOUN
easat-7976	123	14	—	—	PUNCT
easat-7976	123	15	in	in	ADP
easat-7976	123	16	this	this	DET
easat-7976	123	17	case	case	NOUN
easat-7976	123	18	,	,	PUNCT
easat-7976	123	19	the	the	DET
easat-7976	123	20	observed	observe	VERB
easat-7976	123	21	muscular	muscular	ADJ
easat-7976	123	22	force	force	NOUN
easat-7976	123	23	—	—	PUNCT
easat-7976	123	24	and	and	CCONJ
easat-7976	123	25	multiple	multiple	ADJ
easat-7976	123	26	independent	independent	ADJ
easat-7976	123	27	variables	variable	NOUN
easat-7976	123	28	,	,	PUNCT
easat-7976	123	29	represented	represent	VERB
easat-7976	123	30	by	by	ADP
easat-7976	123	31	the	the	DET
easat-7976	123	32	eleven	eleven	NUM
easat-7976	123	33	emg	emg	NOUN
easat-7976	123	34	features	feature	NOUN
easat-7976	123	35	extracted	extract	VERB
easat-7976	123	36	from	from	ADP
easat-7976	123	37	each	each	DET
easat-7976	123	38	signal	signal	ADJ
easat-7976	123	39	segment	segment	NOUN
easat-7976	123	40	.	.	PUNCT
easat-7976	124	1	the	the	DET
easat-7976	124	2	mlr	mlr	PROPN
easat-7976	124	3	model	model	NOUN
easat-7976	124	4	was	be	AUX
easat-7976	124	5	trained	train	VERB
easat-7976	124	6	using	use	VERB
easat-7976	124	7	paired	pair	VERB
easat-7976	124	8	emg	emg	NOUN
easat-7976	124	9	and	and	CCONJ
easat-7976	124	10	force	force	PROPN
easat-7976	124	11	data	datum	NOUN
easat-7976	124	12	obtained	obtain	VERB
easat-7976	124	13	during	during	ADP
easat-7976	124	14	voluntary	voluntary	ADJ
easat-7976	124	15	isometric	isometric	ADJ
easat-7976	124	16	contraction	contraction	NOUN
easat-7976	124	17	tasks	task	NOUN
easat-7976	124	18	.	.	PUNCT
easat-7976	125	1	by	by	ADP
easat-7976	125	2	learning	learn	VERB
easat-7976	125	3	the	the	DET
easat-7976	125	4	optimal	optimal	ADJ
easat-7976	125	5	weights	weight	NOUN
easat-7976	125	6	that	that	PRON
easat-7976	125	7	link	link	VERB
easat-7976	125	8	each	each	DET
easat-7976	125	9	feature	feature	NOUN
easat-7976	125	10	to	to	ADP
easat-7976	125	11	the	the	DET
easat-7976	125	12	output	output	NOUN
easat-7976	125	13	force	force	NOUN
easat-7976	125	14	,	,	PUNCT
easat-7976	125	15	the	the	DET
easat-7976	125	16	model	model	NOUN
easat-7976	125	17	becomes	become	VERB
easat-7976	125	18	capable	capable	ADJ
easat-7976	125	19	of	of	ADP
easat-7976	125	20	predicting	predict	VERB
easat-7976	125	21	continuous	continuous	ADJ
easat-7976	125	22	force	force	NOUN
easat-7976	125	23	levels	level	NOUN
easat-7976	125	24	from	from	ADP
easat-7976	125	25	previously	previously	ADV
easat-7976	125	26	unseen	unseen	ADJ
easat-7976	125	27	emg	emg	NOUN
easat-7976	125	28	data	datum	NOUN
easat-7976	125	29	without	without	ADP
easat-7976	125	30	requiring	require	VERB
easat-7976	125	31	any	any	DET
easat-7976	125	32	information	information	NOUN
easat-7976	125	33	about	about	ADP
easat-7976	125	34	class	class	NOUN
easat-7976	125	35	labels	label	NOUN
easat-7976	125	36	.	.	PUNCT
easat-7976	126	1	this	this	DET
easat-7976	126	2	characteristic	characteristic	NOUN
easat-7976	126	3	is	be	AUX
easat-7976	126	4	particularly	particularly	ADV
easat-7976	126	5	advantageous	advantageous	ADJ
easat-7976	126	6	,	,	PUNCT
easat-7976	126	7	as	as	SCONJ
easat-7976	126	8	it	it	PRON
easat-7976	126	9	avoids	avoid	VERB
easat-7976	126	10	the	the	DET
easat-7976	126	11	need	need	NOUN
easat-7976	126	12	for	for	ADP
easat-7976	126	13	manual	manual	ADJ
easat-7976	126	14	or	or	CCONJ
easat-7976	126	15	automated	automate	VERB
easat-7976	126	16	labelling	labelling	NOUN
easat-7976	126	17	of	of	ADP
easat-7976	126	18	fatigue	fatigue	NOUN
easat-7976	126	19	phases	phase	NOUN
easat-7976	126	20	during	during	ADP
easat-7976	126	21	the	the	DET
easat-7976	126	22	test	test	NOUN
easat-7976	126	23	phase	phase	NOUN
easat-7976	126	24	—	—	PUNCT
easat-7976	126	25	thus	thus	ADV
easat-7976	126	26	enhancing	enhance	VERB
easat-7976	126	27	applicability	applicability	NOUN
easat-7976	126	28	in	in	ADP
easat-7976	126	29	real	real	ADJ
easat-7976	126	30	-	-	PUNCT
easat-7976	126	31	world	world	NOUN
easat-7976	126	32	,	,	PUNCT
easat-7976	126	33	real	real	ADJ
easat-7976	126	34	-	-	PUNCT
easat-7976	126	35	time	time	NOUN
easat-7976	126	36	settings	setting	NOUN
easat-7976	126	37	.	.	PUNCT
easat-7976	127	1	once	once	ADV
easat-7976	127	2	the	the	DET
easat-7976	127	3	predicted	predict	VERB
easat-7976	127	4	force	force	NOUN
easat-7976	127	5	signal	signal	NOUN
easat-7976	127	6	had	have	AUX
easat-7976	127	7	been	be	AUX
easat-7976	127	8	obtained	obtain	VERB
easat-7976	127	9	,	,	PUNCT
easat-7976	127	10	processing	processing	NOUN
easat-7976	127	11	followed	follow	VERB
easat-7976	127	12	using	use	VERB
easat-7976	127	13	thresholds	threshold	NOUN
easat-7976	127	14	predetermined	predetermine	VERB
easat-7976	127	15	by	by	ADP
easat-7976	127	16	the	the	DET
easat-7976	127	17	subject	subject	NOUN
easat-7976	127	18	’s	’s	PART
easat-7976	127	19	maximum	maximum	ADJ
easat-7976	127	20	voluntary	voluntary	ADJ
easat-7976	127	21	contraction	contraction	NOUN
easat-7976	127	22	(	(	PUNCT
easat-7976	127	23	mvc)—namely	mvc)—namely	ADV
easat-7976	127	24	,	,	PUNCT
easat-7976	127	25	at	at	ADP
easat-7976	127	26	90	90	NUM
easat-7976	127	27	%	%	NOUN
easat-7976	127	28	and	and	CCONJ
easat-7976	127	29	70	70	NUM
easat-7976	127	30	%	%	NOUN
easat-7976	127	31	mvc	mvc	NOUN
easat-7976	127	32	.	.	PUNCT
easat-7976	128	1	this	this	DET
easat-7976	128	2	procedure	procedure	NOUN
easat-7976	128	3	divided	divide	VERB
easat-7976	128	4	the	the	DET
easat-7976	128	5	predicted	predict	VERB
easat-7976	128	6	force	force	NOUN
easat-7976	128	7	into	into	ADP
easat-7976	128	8	three	three	NUM
easat-7976	128	9	segments	segment	NOUN
easat-7976	128	10	,	,	PUNCT
easat-7976	128	11	each	each	PRON
easat-7976	128	12	reflecting	reflect	VERB
easat-7976	128	13	the	the	DET
easat-7976	128	14	fatigue	fatigue	NOUN
easat-7976	128	15	phases	phase	NOUN
easat-7976	128	16	applied	apply	VERB
easat-7976	128	17	in	in	ADP
easat-7976	128	18	the	the	DET
easat-7976	128	19	classification	classification	NOUN
easat-7976	128	20	models	model	NOUN
easat-7976	128	21	.	.	PUNCT
easat-7976	129	1	segments	segment	NOUN
easat-7976	129	2	with	with	ADP
easat-7976	129	3	predicted	predict	VERB
easat-7976	129	4	force	force	NOUN
easat-7976	129	5	above	above	ADP
easat-7976	129	6	90	90	NUM
easat-7976	129	7	%	%	NOUN
easat-7976	129	8	mvc	mvc	NOUN
easat-7976	129	9	received	receive	VERB
easat-7976	129	10	the	the	DET
easat-7976	129	11	nonfatigue	nonfatigue	ADJ
easat-7976	129	12	label	label	NOUN
easat-7976	129	13	;	;	PUNCT
easat-7976	129	14	those	those	PRON
easat-7976	129	15	between	between	ADP
easat-7976	129	16	70	70	NUM
easat-7976	129	17	%	%	NOUN
easat-7976	129	18	and	and	CCONJ
easat-7976	129	19	90	90	NUM
easat-7976	129	20	%	%	NOUN
easat-7976	129	21	were	be	AUX
easat-7976	129	22	classified	classify	VERB
easat-7976	129	23	as	as	ADP
easat-7976	129	24	transition	transition	NOUN
easat-7976	129	25	;	;	PUNCT
easat-7976	129	26	values	value	NOUN
easat-7976	129	27	under	under	ADP
easat-7976	129	28	70	70	NUM
easat-7976	129	29	%	%	NOUN
easat-7976	129	30	were	be	AUX
easat-7976	129	31	associated	associate	VERB
easat-7976	129	32	with	with	ADP
easat-7976	129	33	fatigue	fatigue	NOUN
easat-7976	129	34	.	.	PUNCT
easat-7976	130	1	by	by	ADP
easat-7976	130	2	means	mean	NOUN
easat-7976	130	3	of	of	ADP
easat-7976	130	4	this	this	DET
easat-7976	130	5	post	post	ADJ
easat-7976	130	6	-	-	ADJ
easat-7976	130	7	processing	processing	ADJ
easat-7976	130	8	step	step	NOUN
easat-7976	130	9	,	,	PUNCT
easat-7976	130	10	continuous	continuous	ADJ
easat-7976	130	11	force	force	NOUN
easat-7976	130	12	outputs	output	NOUN
easat-7976	130	13	were	be	AUX
easat-7976	130	14	effectively	effectively	ADV
easat-7976	130	15	931	931	NUM
easat-7976	130	16	edelweiss	edelweiss	PROPN
easat-7976	130	17	applied	apply	VERB
easat-7976	130	18	science	science	NOUN
easat-7976	130	19	and	and	CCONJ
easat-7976	130	20	technology	technology	NOUN
easat-7976	130	21	issn	issn	PROPN
easat-7976	130	22	:	:	PUNCT
easat-7976	130	23	2576	2576	NUM
easat-7976	130	24	-	-	SYM
easat-7976	130	25	8484	8484	NUM
easat-7976	130	26	vol	vol	NOUN
easat-7976	130	27	.	.	PROPN
easat-7976	131	1	9	9	NUM
easat-7976	131	2	,	,	PUNCT
easat-7976	131	3	no	no	INTJ
easat-7976	131	4	.	.	NOUN
easat-7976	132	1	6	6	NUM
easat-7976	132	2	:	:	SYM
easat-7976	132	3	925	925	NUM
easat-7976	132	4	-	-	SYM
easat-7976	132	5	938	938	NUM
easat-7976	132	6	,	,	PUNCT
easat-7976	132	7	2025	2025	NUM
easat-7976	132	8	doi	doi	NOUN
easat-7976	132	9	:	:	PUNCT
easat-7976	132	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	132	11	©	©	PROPN
easat-7976	132	12	2025	2025	NUM
easat-7976	132	13	by	by	ADP
easat-7976	132	14	the	the	DET
easat-7976	132	15	authors	author	NOUN
easat-7976	132	16	;	;	PUNCT
easat-7976	132	17	licensee	licensee	PROPN
easat-7976	132	18	learning	learning	NOUN
easat-7976	132	19	gate	gate	NOUN
easat-7976	132	20	reclassified	reclassify	VERB
easat-7976	132	21	into	into	ADP
easat-7976	132	22	discrete	discrete	ADJ
easat-7976	132	23	fatigue	fatigue	NOUN
easat-7976	132	24	stages	stage	NOUN
easat-7976	132	25	,	,	PUNCT
easat-7976	132	26	which	which	PRON
easat-7976	132	27	enabled	enable	VERB
easat-7976	132	28	a	a	DET
easat-7976	132	29	straightforward	straightforward	ADJ
easat-7976	132	30	comparison	comparison	NOUN
easat-7976	132	31	of	of	ADP
easat-7976	132	32	classification	classification	NOUN
easat-7976	132	33	versus	versus	ADP
easat-7976	132	34	regression	regression	NOUN
easat-7976	132	35	methods	method	NOUN
easat-7976	132	36	.	.	PUNCT
easat-7976	133	1	this	this	DET
easat-7976	133	2	method	method	NOUN
easat-7976	133	3	drew	draw	VERB
easat-7976	133	4	on	on	ADP
easat-7976	133	5	emg	emg	NOUN
easat-7976	133	6	data	datum	NOUN
easat-7976	133	7	to	to	PART
easat-7976	133	8	estimate	estimate	VERB
easat-7976	133	9	fatigue	fatigue	NOUN
easat-7976	133	10	in	in	ADP
easat-7976	133	11	a	a	DET
easat-7976	133	12	way	way	NOUN
easat-7976	133	13	that	that	PRON
easat-7976	133	14	mirrored	mirror	VERB
easat-7976	133	15	how	how	SCONJ
easat-7976	133	16	muscle	muscle	NOUN
easat-7976	133	17	force	force	NOUN
easat-7976	133	18	typically	typically	ADV
easat-7976	133	19	diminishes	diminish	VERB
easat-7976	133	20	—	—	PUNCT
easat-7976	133	21	gradually	gradually	ADV
easat-7976	133	22	,	,	PUNCT
easat-7976	133	23	not	not	PART
easat-7976	133	24	in	in	ADP
easat-7976	133	25	steps	step	NOUN
easat-7976	133	26	.	.	PUNCT
easat-7976	134	1	instead	instead	ADV
easat-7976	134	2	of	of	ADP
easat-7976	134	3	relying	rely	VERB
easat-7976	134	4	on	on	ADP
easat-7976	134	5	discrete	discrete	ADJ
easat-7976	134	6	class	class	NOUN
easat-7976	134	7	labels	label	NOUN
easat-7976	134	8	that	that	PRON
easat-7976	134	9	often	often	ADV
easat-7976	134	10	jump	jump	VERB
easat-7976	134	11	from	from	ADP
easat-7976	134	12	one	one	NUM
easat-7976	134	13	state	state	NOUN
easat-7976	134	14	to	to	ADP
easat-7976	134	15	another	another	PRON
easat-7976	134	16	without	without	ADP
easat-7976	134	17	nuance	nuance	NOUN
easat-7976	134	18	,	,	PUNCT
easat-7976	134	19	the	the	DET
easat-7976	134	20	regression	regression	NOUN
easat-7976	134	21	-	-	PUNCT
easat-7976	134	22	based	base	VERB
easat-7976	134	23	model	model	NOUN
easat-7976	134	24	traced	trace	VERB
easat-7976	134	25	changes	change	NOUN
easat-7976	134	26	more	more	ADV
easat-7976	134	27	fluidly	fluidly	ADV
easat-7976	134	28	;	;	PUNCT
easat-7976	134	29	no	no	DET
easat-7976	134	30	sharp	sharp	ADJ
easat-7976	134	31	transitions	transition	NOUN
easat-7976	134	32	were	be	AUX
easat-7976	134	33	imposed	impose	VERB
easat-7976	134	34	.	.	PUNCT
easat-7976	135	1	because	because	SCONJ
easat-7976	135	2	it	it	PRON
easat-7976	135	3	did	do	AUX
easat-7976	135	4	n’t	not	PART
easat-7976	135	5	require	require	VERB
easat-7976	135	6	predefined	predefine	VERB
easat-7976	135	7	fatigue	fatigue	NOUN
easat-7976	135	8	markers	marker	NOUN
easat-7976	135	9	at	at	ADP
easat-7976	135	10	the	the	DET
easat-7976	135	11	point	point	NOUN
easat-7976	135	12	of	of	ADP
easat-7976	135	13	inference	inference	NOUN
easat-7976	135	14	,	,	PUNCT
easat-7976	135	15	it	it	PRON
easat-7976	135	16	proved	prove	VERB
easat-7976	135	17	useful	useful	ADJ
easat-7976	135	18	in	in	ADP
easat-7976	135	19	capturing	capture	VERB
easat-7976	135	20	the	the	DET
easat-7976	135	21	subtle	subtle	ADJ
easat-7976	135	22	and	and	CCONJ
easat-7976	135	23	continuous	continuous	ADJ
easat-7976	135	24	decline	decline	NOUN
easat-7976	135	25	in	in	ADP
easat-7976	135	26	muscular	muscular	ADJ
easat-7976	135	27	output	output	NOUN
easat-7976	135	28	.	.	PUNCT
easat-7976	136	1	as	as	ADP
easat-7976	136	2	a	a	DET
easat-7976	136	3	result	result	NOUN
easat-7976	136	4	,	,	PUNCT
easat-7976	136	5	the	the	DET
easat-7976	136	6	approach	approach	NOUN
easat-7976	136	7	created	create	VERB
easat-7976	136	8	a	a	DET
easat-7976	136	9	functional	functional	ADJ
easat-7976	136	10	middle	middle	ADJ
easat-7976	136	11	ground	ground	NOUN
easat-7976	136	12	—	—	PUNCT
easat-7976	136	13	merging	merge	VERB
easat-7976	136	14	the	the	DET
easat-7976	136	15	detail	detail	NOUN
easat-7976	136	16	of	of	ADP
easat-7976	136	17	continuous	continuous	ADJ
easat-7976	136	18	signal	signal	NOUN
easat-7976	136	19	modelling	modelling	NOUN
easat-7976	136	20	with	with	ADP
easat-7976	136	21	the	the	DET
easat-7976	136	22	structure	structure	NOUN
easat-7976	136	23	of	of	ADP
easat-7976	136	24	categorical	categorical	ADJ
easat-7976	136	25	fatigue	fatigue	NOUN
easat-7976	136	26	staging	staging	NOUN
easat-7976	136	27	.	.	PUNCT
easat-7976	137	1	2.6	2.6	NUM
easat-7976	137	2	.	.	PUNCT
easat-7976	138	1	performance	performance	NOUN
easat-7976	138	2	evaluation	evaluation	NOUN
easat-7976	138	3	metrics	metric	NOUN
easat-7976	138	4	classification	classification	NOUN
easat-7976	138	5	and	and	CCONJ
easat-7976	138	6	regression	regression	NOUN
easat-7976	138	7	metrics	metric	NOUN
easat-7976	138	8	were	be	AUX
easat-7976	138	9	used	use	VERB
easat-7976	138	10	for	for	ADP
easat-7976	138	11	model	model	NOUN
easat-7976	138	12	performance	performance	NOUN
easat-7976	138	13	evaluation	evaluation	NOUN
easat-7976	138	14	.	.	PUNCT
easat-7976	139	1	for	for	ADP
easat-7976	139	2	classification	classification	NOUN
easat-7976	139	3	,	,	PUNCT
easat-7976	139	4	accuracy	accuracy	NOUN
easat-7976	139	5	,	,	PUNCT
easat-7976	139	6	precision	precision	NOUN
easat-7976	139	7	,	,	PUNCT
easat-7976	139	8	recall	recall	NOUN
easat-7976	139	9	,	,	PUNCT
easat-7976	139	10	f1	f1	NOUN
easat-7976	139	11	-	-	PUNCT
easat-7976	139	12	score	score	NOUN
easat-7976	139	13	,	,	PUNCT
easat-7976	139	14	and	and	CCONJ
easat-7976	139	15	specificity	specificity	NOUN
easat-7976	139	16	were	be	AUX
easat-7976	139	17	calculated	calculate	VERB
easat-7976	139	18	based	base	VERB
easat-7976	139	19	on	on	ADP
easat-7976	139	20	confusion	confusion	NOUN
easat-7976	139	21	matrices	matrix	NOUN
easat-7976	139	22	.	.	PUNCT
easat-7976	140	1	for	for	ADP
easat-7976	140	2	the	the	DET
easat-7976	140	3	regression	regression	NOUN
easat-7976	140	4	model	model	NOUN
easat-7976	140	5	,	,	PUNCT
easat-7976	140	6	the	the	DET
easat-7976	140	7	coefficient	coefficient	NOUN
easat-7976	140	8	of	of	ADP
easat-7976	140	9	determination	determination	NOUN
easat-7976	140	10	(	(	PUNCT
easat-7976	140	11	r²	r²	PROPN
easat-7976	140	12	)	)	PUNCT
easat-7976	140	13	,	,	PUNCT
easat-7976	140	14	mean	mean	VERB
easat-7976	140	15	absolute	absolute	ADJ
easat-7976	140	16	error	error	NOUN
easat-7976	140	17	(	(	PUNCT
easat-7976	140	18	mae	mae	PROPN
easat-7976	140	19	)	)	PUNCT
easat-7976	140	20	,	,	PUNCT
easat-7976	140	21	root	root	NOUN
easat-7976	140	22	mean	mean	VERB
easat-7976	140	23	square	square	ADJ
easat-7976	140	24	error	error	NOUN
easat-7976	140	25	(	(	PUNCT
easat-7976	140	26	rmse	rmse	NOUN
easat-7976	140	27	)	)	PUNCT
easat-7976	140	28	,	,	PUNCT
easat-7976	140	29	and	and	CCONJ
easat-7976	140	30	pearson	pearson	PROPN
easat-7976	140	31	correlation	correlation	NOUN
easat-7976	140	32	coefficient	coefficient	NOUN
easat-7976	140	33	(	(	PUNCT
easat-7976	140	34	r	r	NOUN
easat-7976	140	35	)	)	PUNCT
easat-7976	140	36	were	be	AUX
easat-7976	140	37	employed	employ	VERB
easat-7976	140	38	to	to	PART
easat-7976	140	39	evaluate	evaluate	VERB
easat-7976	140	40	force	force	NOUN
easat-7976	140	41	prediction	prediction	NOUN
easat-7976	140	42	accuracy	accuracy	NOUN
easat-7976	140	43	and	and	CCONJ
easat-7976	140	44	its	its	PRON
easat-7976	140	45	consistency	consistency	NOUN
easat-7976	140	46	with	with	ADP
easat-7976	140	47	observed	observed	ADJ
easat-7976	140	48	values	value	NOUN
easat-7976	140	49	.	.	PUNCT
easat-7976	141	1	3	3	X
easat-7976	141	2	.	.	NOUN
easat-7976	141	3	results	result	VERB
easat-7976	141	4	3.1	3.1	NUM
easat-7976	141	5	.	.	PUNCT
easat-7976	142	1	correlation	correlation	NOUN
easat-7976	142	2	between	between	ADP
easat-7976	142	3	emg	emg	NOUN
easat-7976	142	4	features	feature	VERB
easat-7976	142	5	and	and	CCONJ
easat-7976	142	6	force	force	NOUN
easat-7976	142	7	to	to	PART
easat-7976	142	8	evaluate	evaluate	VERB
easat-7976	142	9	the	the	DET
easat-7976	142	10	physiological	physiological	ADJ
easat-7976	142	11	relevance	relevance	NOUN
easat-7976	142	12	of	of	ADP
easat-7976	142	13	each	each	DET
easat-7976	142	14	extracted	extract	VERB
easat-7976	142	15	emg	emg	NOUN
easat-7976	142	16	feature	feature	NOUN
easat-7976	142	17	in	in	ADP
easat-7976	142	18	relation	relation	NOUN
easat-7976	142	19	to	to	PART
easat-7976	142	20	muscle	muscle	NOUN
easat-7976	142	21	output	output	NOUN
easat-7976	142	22	,	,	PUNCT
easat-7976	142	23	pearson	pearson	PROPN
easat-7976	142	24	correlation	correlation	NOUN
easat-7976	142	25	coefficients	coefficient	NOUN
easat-7976	142	26	were	be	AUX
easat-7976	142	27	calculated	calculate	VERB
easat-7976	142	28	between	between	ADP
easat-7976	142	29	each	each	DET
easat-7976	142	30	feature	feature	NOUN
easat-7976	142	31	and	and	CCONJ
easat-7976	142	32	the	the	DET
easat-7976	142	33	corresponding	corresponding	ADJ
easat-7976	142	34	observed	observe	VERB
easat-7976	142	35	force	force	NOUN
easat-7976	142	36	values	value	NOUN
easat-7976	142	37	across	across	ADP
easat-7976	142	38	all	all	DET
easat-7976	142	39	segments	segment	NOUN
easat-7976	142	40	.	.	PUNCT
easat-7976	143	1	as	as	SCONJ
easat-7976	143	2	reported	report	VERB
easat-7976	143	3	in	in	ADP
easat-7976	143	4	table	table	NOUN
easat-7976	143	5	1	1	NUM
easat-7976	143	6	,	,	PUNCT
easat-7976	143	7	the	the	DET
easat-7976	143	8	results	result	NOUN
easat-7976	143	9	indicate	indicate	VERB
easat-7976	143	10	that	that	SCONJ
easat-7976	143	11	most	most	ADJ
easat-7976	143	12	features	feature	NOUN
easat-7976	143	13	exhibit	exhibit	VERB
easat-7976	143	14	strong	strong	ADJ
easat-7976	143	15	linear	linear	ADJ
easat-7976	143	16	relationships	relationship	NOUN
easat-7976	143	17	with	with	ADP
easat-7976	143	18	muscular	muscular	ADJ
easat-7976	143	19	force	force	NOUN
easat-7976	143	20	,	,	PUNCT
easat-7976	143	21	thereby	thereby	ADV
easat-7976	143	22	confirming	confirm	VERB
easat-7976	143	23	their	their	PRON
easat-7976	143	24	suitability	suitability	NOUN
easat-7976	143	25	for	for	ADP
easat-7976	143	26	both	both	DET
easat-7976	143	27	regression	regression	NOUN
easat-7976	143	28	and	and	CCONJ
easat-7976	143	29	fatigue	fatigue	NOUN
easat-7976	143	30	classification	classification	NOUN
easat-7976	143	31	tasks	task	NOUN
easat-7976	143	32	.	.	PUNCT
easat-7976	144	1	within	within	ADP
easat-7976	144	2	the	the	DET
easat-7976	144	3	time	time	NOUN
easat-7976	144	4	domain	domain	NOUN
easat-7976	144	5	,	,	PUNCT
easat-7976	144	6	features	feature	VERB
easat-7976	144	7	such	such	ADJ
easat-7976	144	8	as	as	ADP
easat-7976	144	9	mean	mean	ADJ
easat-7976	144	10	absolute	absolute	ADJ
easat-7976	144	11	value	value	NOUN
easat-7976	144	12	(	(	PUNCT
easat-7976	144	13	mav	mav	PROPN
easat-7976	144	14	)	)	PUNCT
easat-7976	144	15	,	,	PUNCT
easat-7976	144	16	waveform	waveform	VERB
easat-7976	144	17	length	length	NOUN
easat-7976	144	18	,	,	PUNCT
easat-7976	144	19	root	root	NOUN
easat-7976	144	20	mean	mean	NOUN
easat-7976	144	21	square	square	PROPN
easat-7976	144	22	(	(	PUNCT
easat-7976	144	23	rms	rm	NOUN
easat-7976	144	24	)	)	PUNCT
easat-7976	144	25	,	,	PUNCT
easat-7976	144	26	integrated	integrated	ADJ
easat-7976	144	27	emg	emg	NOUN
easat-7976	144	28	(	(	PUNCT
easat-7976	144	29	iemg	iemg	NOUN
easat-7976	144	30	)	)	PUNCT
easat-7976	144	31	,	,	PUNCT
easat-7976	144	32	and	and	CCONJ
easat-7976	144	33	teager	teager	NOUN
easat-7976	144	34	-	-	PUNCT
easat-7976	144	35	kaiser	kaiser	NOUN
easat-7976	144	36	energy	energy	NOUN
easat-7976	144	37	(	(	PUNCT
easat-7976	144	38	tkeo	tkeo	PROPN
easat-7976	144	39	)	)	PUNCT
easat-7976	144	40	all	all	PRON
easat-7976	144	41	demonstrated	demonstrate	VERB
easat-7976	144	42	high	high	ADJ
easat-7976	144	43	positive	positive	ADJ
easat-7976	144	44	correlations	correlation	NOUN
easat-7976	144	45	(	(	PUNCT
easat-7976	144	46	r	r	NOUN
easat-7976	144	47	≥	≥	NOUN
easat-7976	144	48	0.96	0.96	NUM
easat-7976	144	49	)	)	PUNCT
easat-7976	144	50	.	.	PUNCT
easat-7976	145	1	these	these	DET
easat-7976	145	2	features	feature	NOUN
easat-7976	145	3	reflect	reflect	VERB
easat-7976	145	4	the	the	DET
easat-7976	145	5	amplitude	amplitude	NOUN
easat-7976	145	6	and	and	CCONJ
easat-7976	145	7	energy	energy	NOUN
easat-7976	145	8	content	content	NOUN
easat-7976	145	9	of	of	ADP
easat-7976	145	10	the	the	DET
easat-7976	145	11	emg	emg	NOUN
easat-7976	145	12	signal	signal	NOUN
easat-7976	145	13	,	,	PUNCT
easat-7976	145	14	which	which	PRON
easat-7976	145	15	naturally	naturally	ADV
easat-7976	145	16	increase	increase	VERB
easat-7976	145	17	with	with	ADP
easat-7976	145	18	muscle	muscle	NOUN
easat-7976	145	19	contraction	contraction	NOUN
easat-7976	145	20	intensity	intensity	NOUN
easat-7976	145	21	.	.	PUNCT
easat-7976	146	1	notably	notably	ADV
easat-7976	146	2	,	,	PUNCT
easat-7976	146	3	mav	mav	PROPN
easat-7976	146	4	,	,	PUNCT
easat-7976	146	5	wl	wl	PROPN
easat-7976	146	6	,	,	PUNCT
easat-7976	146	7	and	and	CCONJ
easat-7976	146	8	iemg	iemg	NOUN
easat-7976	146	9	each	each	PRON
easat-7976	146	10	achieved	achieve	VERB
easat-7976	146	11	a	a	DET
easat-7976	146	12	correlation	correlation	NOUN
easat-7976	146	13	coefficient	coefficient	NOUN
easat-7976	146	14	of	of	ADP
easat-7976	146	15	0.97	0.97	NUM
easat-7976	146	16	,	,	PUNCT
easat-7976	146	17	highlighting	highlight	VERB
easat-7976	146	18	their	their	PRON
easat-7976	146	19	robustness	robustness	NOUN
easat-7976	146	20	as	as	ADP
easat-7976	146	21	predictors	predictor	NOUN
easat-7976	146	22	of	of	ADP
easat-7976	146	23	force	force	NOUN
easat-7976	146	24	.	.	PUNCT
easat-7976	147	1	variance	variance	NOUN
easat-7976	147	2	also	also	ADV
easat-7976	147	3	showed	show	VERB
easat-7976	147	4	a	a	DET
easat-7976	147	5	strong	strong	ADJ
easat-7976	147	6	correlation	correlation	NOUN
easat-7976	147	7	(	(	PUNCT
easat-7976	147	8	r	r	NOUN
easat-7976	147	9	=	=	NOUN
easat-7976	147	10	0.95	0.95	NUM
easat-7976	147	11	)	)	PUNCT
easat-7976	147	12	,	,	PUNCT
easat-7976	147	13	indicating	indicate	VERB
easat-7976	147	14	that	that	SCONJ
easat-7976	147	15	fluctuations	fluctuation	NOUN
easat-7976	147	16	in	in	ADP
easat-7976	147	17	signal	signal	ADJ
easat-7976	147	18	consistency	consistency	NOUN
easat-7976	147	19	track	track	NOUN
easat-7976	147	20	well	well	ADV
easat-7976	147	21	with	with	ADP
easat-7976	147	22	changes	change	NOUN
easat-7976	147	23	in	in	ADP
easat-7976	147	24	force	force	NOUN
easat-7976	147	25	output	output	NOUN
easat-7976	147	26	.	.	PUNCT
easat-7976	148	1	amplitude	amplitude	NOUN
easat-7976	148	2	range	range	NOUN
easat-7976	148	3	,	,	PUNCT
easat-7976	148	4	although	although	SCONJ
easat-7976	148	5	positively	positively	ADV
easat-7976	148	6	correlated	correlate	VERB
easat-7976	148	7	(	(	PUNCT
easat-7976	148	8	r	r	NOUN
easat-7976	148	9	=	=	NOUN
easat-7976	148	10	0.86	0.86	NUM
easat-7976	148	11	)	)	PUNCT
easat-7976	148	12	,	,	PUNCT
easat-7976	148	13	yielded	yield	VERB
easat-7976	148	14	slightly	slightly	ADV
easat-7976	148	15	lower	low	ADJ
easat-7976	148	16	values	value	NOUN
easat-7976	148	17	,	,	PUNCT
easat-7976	148	18	possibly	possibly	ADV
easat-7976	148	19	due	due	ADP
easat-7976	148	20	to	to	ADP
easat-7976	148	21	its	its	PRON
easat-7976	148	22	sensitivity	sensitivity	NOUN
easat-7976	148	23	to	to	PART
easat-7976	148	24	noise	noise	VERB
easat-7976	148	25	and	and	CCONJ
easat-7976	148	26	transient	transient	ADJ
easat-7976	148	27	spikes	spike	NOUN
easat-7976	148	28	.	.	PUNCT
easat-7976	149	1	in	in	ADP
easat-7976	149	2	the	the	DET
easat-7976	149	3	time	time	NOUN
easat-7976	149	4	-	-	PUNCT
easat-7976	149	5	frequency	frequency	NOUN
easat-7976	149	6	domain	domain	NOUN
easat-7976	149	7	,	,	PUNCT
easat-7976	149	8	both	both	CCONJ
easat-7976	149	9	the	the	DET
easat-7976	149	10	s	s	NOUN
easat-7976	149	11	-	-	PUNCT
easat-7976	149	12	transform	transform	NOUN
easat-7976	149	13	(	(	PUNCT
easat-7976	149	14	mean	mean	ADJ
easat-7976	149	15	)	)	PUNCT
easat-7976	149	16	and	and	CCONJ
easat-7976	149	17	wigner	wigner	ADJ
easat-7976	149	18	-	-	PUNCT
easat-7976	149	19	ville	ville	NOUN
easat-7976	149	20	distribution	distribution	NOUN
easat-7976	149	21	(	(	PUNCT
easat-7976	149	22	mean	mean	ADJ
easat-7976	149	23	)	)	PUNCT
easat-7976	149	24	achieved	achieve	VERB
easat-7976	149	25	high	high	ADJ
easat-7976	149	26	correlations	correlation	NOUN
easat-7976	149	27	of	of	ADP
easat-7976	149	28	0.97	0.97	NUM
easat-7976	149	29	and	and	CCONJ
easat-7976	149	30	0.95	0.95	NUM
easat-7976	149	31	,	,	PUNCT
easat-7976	149	32	respectively	respectively	ADV
easat-7976	149	33	.	.	PUNCT
easat-7976	150	1	these	these	DET
easat-7976	150	2	results	result	NOUN
easat-7976	150	3	validate	validate	VERB
easat-7976	150	4	the	the	DET
easat-7976	150	5	usefulness	usefulness	NOUN
easat-7976	150	6	of	of	ADP
easat-7976	150	7	spectral	spectral	ADJ
easat-7976	150	8	information	information	NOUN
easat-7976	150	9	in	in	ADP
easat-7976	150	10	characterizing	characterize	VERB
easat-7976	150	11	force	force	NOUN
easat-7976	150	12	-	-	PUNCT
easat-7976	150	13	dependent	dependent	ADJ
easat-7976	150	14	emg	emg	NOUN
easat-7976	150	15	changes	change	NOUN
easat-7976	150	16	,	,	PUNCT
easat-7976	150	17	particularly	particularly	ADV
easat-7976	150	18	as	as	SCONJ
easat-7976	150	19	muscle	muscle	NOUN
easat-7976	150	20	fatigue	fatigue	NOUN
easat-7976	150	21	induces	induce	VERB
easat-7976	150	22	shifts	shift	NOUN
easat-7976	150	23	in	in	ADP
easat-7976	150	24	frequency	frequency	NOUN
easat-7976	150	25	content	content	NOUN
easat-7976	150	26	.	.	PUNCT
easat-7976	151	1	interestingly	interestingly	ADV
easat-7976	151	2	,	,	PUNCT
easat-7976	151	3	in	in	ADP
easat-7976	151	4	the	the	DET
easat-7976	151	5	nonlinear	nonlinear	ADJ
easat-7976	151	6	domain	domain	NOUN
easat-7976	151	7	,	,	PUNCT
easat-7976	151	8	hilbert	hilbert	PROPN
easat-7976	151	9	-	-	PUNCT
easat-7976	151	10	huang	huang	PROPN
easat-7976	151	11	transform	transform	PROPN
easat-7976	151	12	(	(	PUNCT
easat-7976	151	13	variance	variance	NOUN
easat-7976	151	14	)	)	PUNCT
easat-7976	151	15	showed	show	VERB
easat-7976	151	16	a	a	DET
easat-7976	151	17	solid	solid	ADJ
easat-7976	151	18	positive	positive	ADJ
easat-7976	151	19	correlation	correlation	NOUN
easat-7976	151	20	(	(	PUNCT
easat-7976	151	21	r	r	NOUN
easat-7976	151	22	=	=	NOUN
easat-7976	151	23	0.94	0.94	NUM
easat-7976	151	24	)	)	PUNCT
easat-7976	151	25	,	,	PUNCT
easat-7976	151	26	while	while	SCONJ
easat-7976	151	27	shannon	shannon	PROPN
easat-7976	151	28	entropy	entropy	PROPN
easat-7976	151	29	displayed	display	VERB
easat-7976	151	30	a	a	DET
easat-7976	151	31	negative	negative	ADJ
easat-7976	151	32	correlation	correlation	NOUN
easat-7976	151	33	(	(	PUNCT
easat-7976	151	34	r	r	NOUN
easat-7976	151	35	=	=	NOUN
easat-7976	151	36	-0.89	-0.89	NUM
easat-7976	151	37	)	)	PUNCT
easat-7976	151	38	.	.	PUNCT
easat-7976	152	1	this	this	DET
easat-7976	152	2	inverse	inverse	NOUN
easat-7976	152	3	relationship	relationship	NOUN
easat-7976	152	4	supports	support	VERB
easat-7976	152	5	the	the	DET
easat-7976	152	6	notion	notion	NOUN
easat-7976	152	7	that	that	SCONJ
easat-7976	152	8	as	as	ADP
easat-7976	152	9	muscle	muscle	NOUN
easat-7976	152	10	fatigue	fatigue	NOUN
easat-7976	152	11	increases	increase	NOUN
easat-7976	152	12	,	,	PUNCT
easat-7976	152	13	emg	emg	NOUN
easat-7976	152	14	signals	signal	NOUN
easat-7976	152	15	become	become	VERB
easat-7976	152	16	more	more	ADV
easat-7976	152	17	chaotic	chaotic	ADJ
easat-7976	152	18	and	and	CCONJ
easat-7976	152	19	less	less	ADV
easat-7976	152	20	predictable	predictable	ADJ
easat-7976	152	21	.	.	PUNCT
easat-7976	153	1	altogether	altogether	ADV
easat-7976	153	2	,	,	PUNCT
easat-7976	153	3	the	the	DET
easat-7976	153	4	observed	observe	VERB
easat-7976	153	5	correlation	correlation	NOUN
easat-7976	153	6	patterns	pattern	NOUN
easat-7976	153	7	demonstrate	demonstrate	VERB
easat-7976	153	8	that	that	SCONJ
easat-7976	153	9	the	the	DET
easat-7976	153	10	selected	select	VERB
easat-7976	153	11	11	11	NUM
easat-7976	153	12	features	feature	NOUN
easat-7976	153	13	capture	capture	VERB
easat-7976	153	14	essential	essential	ADJ
easat-7976	153	15	neuromuscular	neuromuscular	ADJ
easat-7976	153	16	dynamics	dynamic	NOUN
easat-7976	153	17	and	and	CCONJ
easat-7976	153	18	are	be	AUX
easat-7976	153	19	physiologically	physiologically	ADV
easat-7976	153	20	aligned	align	VERB
easat-7976	153	21	with	with	ADP
easat-7976	153	22	force	force	NOUN
easat-7976	153	23	production	production	NOUN
easat-7976	153	24	and	and	CCONJ
easat-7976	153	25	fatigue	fatigue	NOUN
easat-7976	153	26	evolution	evolution	NOUN
easat-7976	153	27	.	.	PUNCT
easat-7976	154	1	932	932	NUM
easat-7976	154	2	edelweiss	edelweiss	PROPN
easat-7976	154	3	applied	apply	VERB
easat-7976	154	4	science	science	NOUN
easat-7976	154	5	and	and	CCONJ
easat-7976	154	6	technology	technology	NOUN
easat-7976	154	7	issn	issn	PROPN
easat-7976	154	8	:	:	PUNCT
easat-7976	154	9	2576	2576	NUM
easat-7976	154	10	-	-	SYM
easat-7976	154	11	8484	8484	NUM
easat-7976	154	12	vol	vol	NOUN
easat-7976	154	13	.	.	PROPN
easat-7976	155	1	9	9	NUM
easat-7976	155	2	,	,	PUNCT
easat-7976	155	3	no	no	INTJ
easat-7976	155	4	.	.	NOUN
easat-7976	156	1	6	6	NUM
easat-7976	156	2	:	:	SYM
easat-7976	156	3	925	925	NUM
easat-7976	156	4	-	-	SYM
easat-7976	156	5	938	938	NUM
easat-7976	156	6	,	,	PUNCT
easat-7976	156	7	2025	2025	NUM
easat-7976	156	8	doi	doi	NOUN
easat-7976	156	9	:	:	PUNCT
easat-7976	156	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	156	11	©	©	PROPN
easat-7976	156	12	2025	2025	NUM
easat-7976	156	13	by	by	ADP
easat-7976	156	14	the	the	DET
easat-7976	156	15	authors	author	NOUN
easat-7976	156	16	;	;	PUNCT
easat-7976	157	1	licensee	licensee	PROPN
easat-7976	157	2	learning	learn	VERB
easat-7976	157	3	gate	gate	NOUN
easat-7976	157	4	table	table	NOUN
easat-7976	157	5	1	1	NUM
easat-7976	157	6	.	.	PUNCT
easat-7976	157	7	pearson	pearson	PROPN
easat-7976	157	8	correlation	correlation	NOUN
easat-7976	157	9	between	between	ADP
easat-7976	157	10	emg	emg	NOUN
easat-7976	157	11	features	feature	VERB
easat-7976	157	12	and	and	CCONJ
easat-7976	157	13	observed	observed	ADJ
easat-7976	157	14	force	force	NOUN
easat-7976	157	15	.	.	PUNCT
easat-7976	158	1	no	no	INTJ
easat-7976	158	2	.	.	PUNCT
easat-7976	159	1	emg	emg	NOUN
easat-7976	159	2	feature	feature	NOUN
easat-7976	159	3	domain	domain	NOUN
easat-7976	159	4	r	r	NOUN
easat-7976	159	5	(	(	PUNCT
easat-7976	159	6	pearson	pearson	PROPN
easat-7976	159	7	)	)	PUNCT
easat-7976	159	8	1	1	NUM
easat-7976	159	9	mean	mean	VERB
easat-7976	159	10	absolute	absolute	ADJ
easat-7976	159	11	value	value	NOUN
easat-7976	159	12	time	time	NOUN
easat-7976	159	13	0.97	0.97	NUM
easat-7976	159	14	2	2	NUM
easat-7976	159	15	waveform	waveform	NOUN
easat-7976	159	16	length	length	NOUN
easat-7976	159	17	0.97	0.97	NUM
easat-7976	159	18	3	3	NUM
easat-7976	159	19	amplitude	amplitude	NOUN
easat-7976	159	20	range	range	NOUN
easat-7976	159	21	0.86	0.86	NUM
easat-7976	159	22	4	4	NUM
easat-7976	159	23	root	root	NOUN
easat-7976	159	24	mean	mean	NOUN
easat-7976	159	25	square	square	NOUN
easat-7976	159	26	0.96	0.96	NUM
easat-7976	159	27	5	5	NUM
easat-7976	159	28	variance	variance	NOUN
easat-7976	159	29	0.95	0.95	NUM
easat-7976	159	30	6	6	NUM
easat-7976	159	31	integrated	integrate	VERB
easat-7976	159	32	emg	emg	NOUN
easat-7976	159	33	0.97	0.97	NUM
easat-7976	159	34	7	7	NUM
easat-7976	159	35	teager	teager	NOUN
easat-7976	159	36	-	-	PUNCT
easat-7976	159	37	kaiser	kaiser	NOUN
easat-7976	159	38	energy	energy	NOUN
easat-7976	159	39	0.96	0.96	NUM
easat-7976	159	40	8	8	NUM
easat-7976	159	41	s	s	NOUN
easat-7976	159	42	-	-	PUNCT
easat-7976	159	43	transform	transform	VERB
easat-7976	159	44	time	time	NOUN
easat-7976	159	45	-	-	PUNCT
easat-7976	159	46	frequency	frequency	NOUN
easat-7976	159	47	0.97	0.97	NUM
easat-7976	159	48	9	9	NUM
easat-7976	159	49	wigner	wigner	NOUN
easat-7976	159	50	-	-	PUNCT
easat-7976	159	51	ville	ville	NOUN
easat-7976	159	52	distribution	distribution	NOUN
easat-7976	159	53	0.95	0.95	NUM
easat-7976	159	54	10	10	NUM
easat-7976	159	55	shannon	shannon	PROPN
easat-7976	159	56	entropy	entropy	PROPN
easat-7976	159	57	nonlinear	nonlinear	PROPN
easat-7976	159	58	-0.89	-0.89	NUM
easat-7976	159	59	11	11	NUM
easat-7976	159	60	hilbert	hilbert	PROPN
easat-7976	159	61	-	-	PUNCT
easat-7976	159	62	huang	huang	PROPN
easat-7976	159	63	transform	transform	NOUN
easat-7976	159	64	0.94	0.94	NUM
easat-7976	159	65	3.2	3.2	NUM
easat-7976	159	66	.	.	PUNCT
easat-7976	160	1	classification	classification	NOUN
easat-7976	160	2	model	model	NOUN
easat-7976	160	3	performance	performance	NOUN
easat-7976	160	4	as	as	SCONJ
easat-7976	160	5	resumed	resume	VERB
easat-7976	160	6	in	in	ADP
easat-7976	160	7	table	table	NOUN
easat-7976	160	8	2	2	NUM
easat-7976	160	9	,	,	PUNCT
easat-7976	160	10	three	three	NUM
easat-7976	160	11	supervised	supervised	ADJ
easat-7976	160	12	classification	classification	NOUN
easat-7976	160	13	models	model	NOUN
easat-7976	160	14	—	—	PUNCT
easat-7976	160	15	support	support	NOUN
easat-7976	160	16	vector	vector	NOUN
easat-7976	160	17	machine	machine	NOUN
easat-7976	160	18	(	(	PUNCT
easat-7976	160	19	svm	svm	PROPN
easat-7976	160	20	)	)	PUNCT
easat-7976	160	21	,	,	PUNCT
easat-7976	160	22	linear	linear	ADJ
easat-7976	160	23	discriminant	discriminant	ADJ
easat-7976	160	24	analysis	analysis	NOUN
easat-7976	160	25	(	(	PUNCT
easat-7976	160	26	lda	lda	PROPN
easat-7976	160	27	)	)	PUNCT
easat-7976	160	28	,	,	PUNCT
easat-7976	160	29	and	and	CCONJ
easat-7976	160	30	quadratic	quadratic	ADJ
easat-7976	160	31	discriminant	discriminant	ADJ
easat-7976	160	32	analysis	analysis	NOUN
easat-7976	160	33	(	(	PUNCT
easat-7976	160	34	qda)—were	qda)—were	ADV
easat-7976	160	35	compared	compare	VERB
easat-7976	160	36	based	base	VERB
easat-7976	160	37	on	on	ADP
easat-7976	160	38	their	their	PRON
easat-7976	160	39	ability	ability	NOUN
easat-7976	160	40	to	to	PART
easat-7976	160	41	assign	assign	VERB
easat-7976	160	42	emg	emg	NOUN
easat-7976	160	43	segments	segment	NOUN
easat-7976	160	44	to	to	ADP
easat-7976	160	45	one	one	NUM
easat-7976	160	46	of	of	ADP
easat-7976	160	47	three	three	NUM
easat-7976	160	48	fatigue	fatigue	NOUN
easat-7976	160	49	phases	phase	NOUN
easat-7976	160	50	:	:	PUNCT
easat-7976	160	51	non	non	ADJ
easat-7976	160	52	-	-	ADJ
easat-7976	160	53	fatigue	fatigue	ADJ
easat-7976	160	54	,	,	PUNCT
easat-7976	160	55	transition	transition	NOUN
easat-7976	160	56	,	,	PUNCT
easat-7976	160	57	or	or	CCONJ
easat-7976	160	58	fatigue	fatigue	NOUN
easat-7976	160	59	.	.	PUNCT
easat-7976	161	1	among	among	ADP
easat-7976	161	2	them	they	PRON
easat-7976	161	3	,	,	PUNCT
easat-7976	161	4	qda	qda	PROPN
easat-7976	161	5	achieved	achieve	VERB
easat-7976	161	6	the	the	DET
easat-7976	161	7	highest	high	ADJ
easat-7976	161	8	overall	overall	ADJ
easat-7976	161	9	classification	classification	NOUN
easat-7976	161	10	performance	performance	NOUN
easat-7976	161	11	,	,	PUNCT
easat-7976	161	12	with	with	ADP
easat-7976	161	13	an	an	DET
easat-7976	161	14	accuracy	accuracy	NOUN
easat-7976	161	15	of	of	ADP
easat-7976	161	16	82	82	NUM
easat-7976	161	17	%	%	NOUN
easat-7976	161	18	,	,	PUNCT
easat-7976	161	19	a	a	DET
easat-7976	161	20	precision	precision	NOUN
easat-7976	161	21	of	of	ADP
easat-7976	161	22	81	81	NUM
easat-7976	161	23	%	%	NOUN
easat-7976	161	24	,	,	PUNCT
easat-7976	161	25	a	a	DET
easat-7976	161	26	recall	recall	NOUN
easat-7976	161	27	(	(	PUNCT
easat-7976	161	28	sensitivity	sensitivity	NOUN
easat-7976	161	29	)	)	PUNCT
easat-7976	161	30	of	of	ADP
easat-7976	161	31	75	75	NUM
easat-7976	161	32	%	%	NOUN
easat-7976	161	33	,	,	PUNCT
easat-7976	161	34	and	and	CCONJ
easat-7976	161	35	a	a	DET
easat-7976	161	36	specificity	specificity	NOUN
easat-7976	161	37	of	of	ADP
easat-7976	161	38	90	90	NUM
easat-7976	161	39	%	%	NOUN
easat-7976	161	40	.	.	PUNCT
easat-7976	162	1	this	this	PRON
easat-7976	162	2	indicates	indicate	VERB
easat-7976	162	3	that	that	SCONJ
easat-7976	162	4	qda	qda	NOUN
easat-7976	162	5	not	not	PART
easat-7976	162	6	only	only	ADV
easat-7976	162	7	captured	capture	VERB
easat-7976	162	8	a	a	DET
easat-7976	162	9	large	large	ADJ
easat-7976	162	10	proportion	proportion	NOUN
easat-7976	162	11	of	of	ADP
easat-7976	162	12	correctly	correctly	ADV
easat-7976	162	13	classified	classified	ADJ
easat-7976	162	14	instances	instance	NOUN
easat-7976	162	15	but	but	CCONJ
easat-7976	162	16	also	also	ADV
easat-7976	162	17	minimized	minimize	VERB
easat-7976	162	18	false	false	ADJ
easat-7976	162	19	positives	positive	NOUN
easat-7976	162	20	and	and	CCONJ
easat-7976	162	21	negatives	negative	NOUN
easat-7976	162	22	,	,	PUNCT
easat-7976	162	23	making	make	VERB
easat-7976	162	24	it	it	PRON
easat-7976	162	25	the	the	DET
easat-7976	162	26	most	most	ADV
easat-7976	162	27	physiologically	physiologically	ADV
easat-7976	162	28	consistent	consistent	ADJ
easat-7976	162	29	classifier	classifier	NOUN
easat-7976	162	30	among	among	ADP
easat-7976	162	31	the	the	DET
easat-7976	162	32	three	three	NUM
easat-7976	162	33	.	.	PUNCT
easat-7976	162	34	table	table	NOUN
easat-7976	162	35	2	2	NUM
easat-7976	162	36	.	.	PUNCT
easat-7976	162	37	classification	classification	NOUN
easat-7976	162	38	model	model	NOUN
easat-7976	162	39	performance	performance	NOUN
easat-7976	162	40	.	.	PUNCT
easat-7976	163	1	classifier	classifier	PROPN
easat-7976	163	2	svm	svm	PROPN
easat-7976	163	3	lda	lda	PROPN
easat-7976	163	4	qda	qda	PROPN
easat-7976	163	5	accuracy	accuracy	NOUN
easat-7976	163	6	(	(	PUNCT
easat-7976	163	7	%	%	NOUN
easat-7976	163	8	)	)	PUNCT
easat-7976	163	9	65	65	NUM
easat-7976	163	10	71	71	NUM
easat-7976	163	11	82	82	NUM
easat-7976	163	12	precision	precision	NOUN
easat-7976	163	13	(	(	PUNCT
easat-7976	163	14	%	%	INTJ
easat-7976	163	15	)	)	PUNCT
easat-7976	163	16	24	24	NUM
easat-7976	163	17	58	58	NUM
easat-7976	163	18	81	81	NUM
easat-7976	163	19	sensitivity	sensitivity	NOUN
easat-7976	163	20	(	(	PUNCT
easat-7976	163	21	%	%	NOUN
easat-7976	163	22	)	)	PUNCT
easat-7976	163	23	33	33	NUM
easat-7976	163	24	50	50	NUM
easat-7976	163	25	75	75	NUM
easat-7976	163	26	f1	f1	NOUN
easat-7976	163	27	-	-	PUNCT
easat-7976	163	28	score	score	NOUN
easat-7976	163	29	(	(	PUNCT
easat-7976	163	30	%	%	NOUN
easat-7976	163	31	)	)	PUNCT
easat-7976	163	32	28	28	NUM
easat-7976	163	33	54	54	NUM
easat-7976	163	34	78	78	NUM
easat-7976	163	35	specificity	specificity	NOUN
easat-7976	163	36	(	(	PUNCT
easat-7976	163	37	%	%	NOUN
easat-7976	163	38	)	)	PUNCT
easat-7976	163	39	73	73	NUM
easat-7976	163	40	75	75	NUM
easat-7976	163	41	90	90	NUM
easat-7976	163	42	lda	lda	PROPN
easat-7976	163	43	came	come	VERB
easat-7976	163	44	next	next	ADV
easat-7976	163	45	with	with	ADP
easat-7976	163	46	an	an	DET
easat-7976	163	47	accuracy	accuracy	NOUN
easat-7976	163	48	of	of	ADP
easat-7976	163	49	71	71	NUM
easat-7976	163	50	%	%	NOUN
easat-7976	163	51	,	,	PUNCT
easat-7976	163	52	showing	show	VERB
easat-7976	163	53	strong	strong	ADJ
easat-7976	163	54	results	result	NOUN
easat-7976	163	55	for	for	ADP
easat-7976	163	56	precision	precision	NOUN
easat-7976	163	57	and	and	CCONJ
easat-7976	163	58	specificity—58	specificity—58	NOUN
easat-7976	163	59	%	%	NOUN
easat-7976	163	60	and	and	CCONJ
easat-7976	163	61	85	85	NUM
easat-7976	163	62	%	%	NOUN
easat-7976	163	63	,	,	PUNCT
easat-7976	163	64	respectively	respectively	ADV
easat-7976	163	65	.	.	PUNCT
easat-7976	164	1	its	its	PRON
easat-7976	164	2	recall	recall	NOUN
easat-7976	164	3	,	,	PUNCT
easat-7976	164	4	slightly	slightly	ADV
easat-7976	164	5	lower	low	ADJ
easat-7976	164	6	at	at	ADP
easat-7976	164	7	70	70	NUM
easat-7976	164	8	%	%	NOUN
easat-7976	164	9	,	,	PUNCT
easat-7976	164	10	points	point	VERB
easat-7976	164	11	to	to	ADP
easat-7976	164	12	occasional	occasional	ADJ
easat-7976	164	13	misses	miss	NOUN
easat-7976	164	14	in	in	ADP
easat-7976	164	15	identifying	identify	VERB
easat-7976	164	16	some	some	DET
easat-7976	164	17	true	true	ADJ
easat-7976	164	18	transition	transition	NOUN
easat-7976	164	19	or	or	CCONJ
easat-7976	164	20	fatigue	fatigue	NOUN
easat-7976	164	21	instances	instance	NOUN
easat-7976	164	22	.	.	PUNCT
easat-7976	165	1	still	still	ADV
easat-7976	165	2	,	,	PUNCT
easat-7976	165	3	even	even	ADV
easat-7976	165	4	with	with	ADP
easat-7976	165	5	its	its	PRON
easat-7976	165	6	more	more	ADV
easat-7976	165	7	basic	basic	ADJ
easat-7976	165	8	linear	linear	NOUN
easat-7976	165	9	framework	framework	NOUN
easat-7976	165	10	,	,	PUNCT
easat-7976	165	11	lda	lda	PROPN
easat-7976	165	12	managed	manage	VERB
easat-7976	165	13	to	to	PART
easat-7976	165	14	strike	strike	VERB
easat-7976	165	15	a	a	DET
easat-7976	165	16	reasonable	reasonable	ADJ
easat-7976	165	17	trade	trade	NOUN
easat-7976	165	18	-	-	PUNCT
easat-7976	165	19	off	off	NOUN
easat-7976	165	20	between	between	ADP
easat-7976	165	21	detecting	detect	VERB
easat-7976	165	22	actual	actual	ADJ
easat-7976	165	23	fatigue	fatigue	NOUN
easat-7976	165	24	and	and	CCONJ
easat-7976	165	25	avoiding	avoid	VERB
easat-7976	165	26	false	false	ADJ
easat-7976	165	27	positives	positive	NOUN
easat-7976	165	28	,	,	PUNCT
easat-7976	165	29	producing	produce	VERB
easat-7976	165	30	a	a	DET
easat-7976	165	31	mapping	mapping	NOUN
easat-7976	165	32	of	of	ADP
easat-7976	165	33	fatigue	fatigue	NOUN
easat-7976	165	34	progression	progression	NOUN
easat-7976	165	35	that	that	PRON
easat-7976	165	36	remained	remain	VERB
easat-7976	165	37	fairly	fairly	ADV
easat-7976	165	38	consistent	consistent	ADJ
easat-7976	165	39	.	.	PUNCT
easat-7976	166	1	in	in	ADP
easat-7976	166	2	contrast	contrast	NOUN
easat-7976	166	3	,	,	PUNCT
easat-7976	166	4	svm	svm	VERB
easat-7976	166	5	with	with	ADP
easat-7976	166	6	a	a	DET
easat-7976	166	7	linear	linear	ADJ
easat-7976	166	8	kernel	kernel	NOUN
easat-7976	166	9	demonstrated	demonstrate	VERB
easat-7976	166	10	the	the	DET
easat-7976	166	11	weakest	weak	ADJ
easat-7976	166	12	performance	performance	NOUN
easat-7976	166	13	,	,	PUNCT
easat-7976	166	14	with	with	ADP
easat-7976	166	15	65	65	NUM
easat-7976	166	16	%	%	NOUN
easat-7976	166	17	accuracy	accuracy	NOUN
easat-7976	166	18	,	,	PUNCT
easat-7976	166	19	only	only	ADV
easat-7976	166	20	24	24	NUM
easat-7976	166	21	%	%	NOUN
easat-7976	166	22	precision	precision	NOUN
easat-7976	166	23	,	,	PUNCT
easat-7976	166	24	and	and	CCONJ
easat-7976	166	25	a	a	DET
easat-7976	166	26	low	low	ADJ
easat-7976	166	27	f1	f1	NOUN
easat-7976	166	28	-	-	PUNCT
easat-7976	166	29	score	score	NOUN
easat-7976	166	30	of	of	ADP
easat-7976	166	31	28	28	NUM
easat-7976	166	32	%	%	NOUN
easat-7976	166	33	,	,	PUNCT
easat-7976	166	34	revealing	reveal	VERB
easat-7976	166	35	a	a	DET
easat-7976	166	36	tendency	tendency	NOUN
easat-7976	166	37	to	to	PART
easat-7976	166	38	produce	produce	VERB
easat-7976	166	39	both	both	DET
easat-7976	166	40	false	false	ADJ
easat-7976	166	41	positives	positive	NOUN
easat-7976	166	42	and	and	CCONJ
easat-7976	166	43	negatives	negative	NOUN
easat-7976	166	44	,	,	PUNCT
easat-7976	166	45	especially	especially	ADV
easat-7976	166	46	during	during	ADP
easat-7976	166	47	ambiguous	ambiguous	ADJ
easat-7976	166	48	states	state	NOUN
easat-7976	166	49	.	.	PUNCT
easat-7976	167	1	although	although	SCONJ
easat-7976	167	2	svm	svm	PROPN
easat-7976	167	3	maintained	maintain	VERB
easat-7976	167	4	reasonable	reasonable	ADJ
easat-7976	167	5	specificity	specificity	NOUN
easat-7976	167	6	(	(	PUNCT
easat-7976	167	7	73	73	NUM
easat-7976	167	8	%	%	NOUN
easat-7976	167	9	)	)	PUNCT
easat-7976	167	10	,	,	PUNCT
easat-7976	167	11	its	its	PRON
easat-7976	167	12	sensitivity	sensitivity	NOUN
easat-7976	167	13	(	(	PUNCT
easat-7976	167	14	33	33	NUM
easat-7976	167	15	%	%	NOUN
easat-7976	167	16	)	)	PUNCT
easat-7976	167	17	and	and	CCONJ
easat-7976	167	18	low	low	ADJ
easat-7976	167	19	f1	f1	NOUN
easat-7976	167	20	-	-	PUNCT
easat-7976	167	21	score	score	NOUN
easat-7976	167	22	indicate	indicate	VERB
easat-7976	167	23	that	that	SCONJ
easat-7976	167	24	it	it	PRON
easat-7976	167	25	struggled	struggle	VERB
easat-7976	167	26	particularly	particularly	ADV
easat-7976	167	27	with	with	ADP
easat-7976	167	28	detecting	detect	VERB
easat-7976	167	29	the	the	DET
easat-7976	167	30	intermediate	intermediate	ADJ
easat-7976	167	31	transition	transition	NOUN
easat-7976	167	32	phase	phase	NOUN
easat-7976	167	33	.	.	PUNCT
easat-7976	168	1	these	these	DET
easat-7976	168	2	quantitative	quantitative	ADJ
easat-7976	168	3	findings	finding	NOUN
easat-7976	168	4	are	be	AUX
easat-7976	168	5	highly	highly	ADV
easat-7976	168	6	consistent	consistent	ADJ
easat-7976	168	7	with	with	ADP
easat-7976	168	8	the	the	DET
easat-7976	168	9	visual	visual	ADJ
easat-7976	168	10	comparison	comparison	NOUN
easat-7976	168	11	presented	present	VERB
easat-7976	168	12	in	in	ADP
easat-7976	168	13	figure	figure	NOUN
easat-7976	168	14	4	4	NUM
easat-7976	168	15	,	,	PUNCT
easat-7976	168	16	which	which	PRON
easat-7976	168	17	displays	display	VERB
easat-7976	168	18	the	the	DET
easat-7976	168	19	emg	emg	NOUN
easat-7976	168	20	signal	signal	NOUN
easat-7976	168	21	color	color	NOUN
easat-7976	168	22	-	-	PUNCT
easat-7976	168	23	coded	code	VERB
easat-7976	168	24	according	accord	VERB
easat-7976	168	25	to	to	ADP
easat-7976	168	26	the	the	DET
easat-7976	168	27	fatigue	fatigue	NOUN
easat-7976	168	28	phase	phase	NOUN
easat-7976	168	29	labels	label	NOUN
easat-7976	168	30	assigned	assign	VERB
easat-7976	168	31	by	by	ADP
easat-7976	168	32	each	each	DET
easat-7976	168	33	model	model	NOUN
easat-7976	168	34	(	(	PUNCT
easat-7976	168	35	green	green	ADJ
easat-7976	168	36	:	:	PUNCT
easat-7976	168	37	non	non	ADJ
easat-7976	168	38	-	-	ADJ
easat-7976	168	39	fatigue	fatigue	ADJ
easat-7976	168	40	,	,	PUNCT
easat-7976	168	41	blue	blue	ADJ
easat-7976	168	42	:	:	PUNCT
easat-7976	168	43	transition	transition	NOUN
easat-7976	168	44	,	,	PUNCT
easat-7976	168	45	red	red	ADJ
easat-7976	168	46	:	:	PUNCT
easat-7976	168	47	fatigue	fatigue	NOUN
easat-7976	168	48	)	)	PUNCT
easat-7976	168	49	.	.	PUNCT
easat-7976	169	1	qda	qda	PROPN
easat-7976	169	2	exhibited	exhibit	VERB
easat-7976	169	3	smooth	smooth	ADJ
easat-7976	169	4	and	and	CCONJ
easat-7976	169	5	continuous	continuous	ADJ
easat-7976	169	6	phase	phase	NOUN
easat-7976	169	7	boundaries	boundary	NOUN
easat-7976	169	8	,	,	PUNCT
easat-7976	169	9	effectively	effectively	ADV
easat-7976	169	10	capturing	capture	VERB
easat-7976	169	11	the	the	DET
easat-7976	169	12	gradual	gradual	ADJ
easat-7976	169	13	shift	shift	NOUN
easat-7976	169	14	from	from	ADP
easat-7976	169	15	non	non	ADJ
easat-7976	169	16	-	-	NOUN
easat-7976	169	17	fatigue	fatigue	NOUN
easat-7976	169	18	to	to	ADP
easat-7976	169	19	fatigue	fatigue	NOUN
easat-7976	169	20	,	,	PUNCT
easat-7976	169	21	including	include	VERB
easat-7976	169	22	a	a	DET
easat-7976	169	23	welldelineated	welldelineate	VERB
easat-7976	169	24	transition	transition	NOUN
easat-7976	169	25	zone	zone	NOUN
easat-7976	169	26	.	.	PUNCT
easat-7976	170	1	the	the	DET
easat-7976	170	2	transitions	transition	NOUN
easat-7976	170	3	identified	identify	VERB
easat-7976	170	4	by	by	ADP
easat-7976	170	5	qda	qda	NOUN
easat-7976	170	6	align	align	VERB
easat-7976	170	7	closely	closely	ADV
easat-7976	170	8	with	with	ADP
easat-7976	170	9	the	the	DET
easat-7976	170	10	expected	expect	VERB
easat-7976	170	11	physiological	physiological	ADJ
easat-7976	170	12	decay	decay	NOUN
easat-7976	170	13	in	in	ADP
easat-7976	170	14	force	force	NOUN
easat-7976	170	15	and	and	CCONJ
easat-7976	170	16	emg	emg	NOUN
easat-7976	170	17	patterns	pattern	NOUN
easat-7976	170	18	,	,	PUNCT
easat-7976	170	19	reflecting	reflect	VERB
easat-7976	170	20	its	its	PRON
easat-7976	170	21	superior	superior	ADJ
easat-7976	170	22	ability	ability	NOUN
easat-7976	170	23	to	to	PART
easat-7976	170	24	model	model	VERB
easat-7976	170	25	non	non	ADJ
easat-7976	170	26	-	-	ADJ
easat-7976	170	27	linear	linear	ADJ
easat-7976	170	28	boundaries	boundary	NOUN
easat-7976	170	29	across	across	ADP
easat-7976	170	30	the	the	DET
easat-7976	170	31	feature	feature	NOUN
easat-7976	170	32	space	space	NOUN
easat-7976	170	33	.	.	PUNCT
easat-7976	171	1	lda	lda	PROPN
easat-7976	171	2	,	,	PUNCT
easat-7976	171	3	while	while	SCONJ
easat-7976	171	4	slightly	slightly	ADV
easat-7976	171	5	less	less	ADV
easat-7976	171	6	precise	precise	ADJ
easat-7976	171	7	,	,	PUNCT
easat-7976	171	8	also	also	ADV
easat-7976	171	9	produced	produce	VERB
easat-7976	171	10	interpretable	interpretable	ADJ
easat-7976	171	11	segmentation	segmentation	NOUN
easat-7976	171	12	with	with	ADP
easat-7976	171	13	fairly	fairly	ADV
easat-7976	171	14	consistent	consistent	ADJ
easat-7976	171	15	regions	region	NOUN
easat-7976	171	16	.	.	PUNCT
easat-7976	172	1	however	however	ADV
easat-7976	172	2	,	,	PUNCT
easat-7976	172	3	some	some	DET
easat-7976	172	4	misassignments	misassignment	NOUN
easat-7976	172	5	were	be	AUX
easat-7976	172	6	observed	observe	VERB
easat-7976	172	7	,	,	PUNCT
easat-7976	172	8	particularly	particularly	ADV
easat-7976	172	9	at	at	ADP
easat-7976	172	10	the	the	DET
easat-7976	172	11	boundaries	boundary	NOUN
easat-7976	172	12	between	between	ADP
easat-7976	172	13	933	933	NUM
easat-7976	172	14	edelweiss	edelweiss	PROPN
easat-7976	172	15	applied	apply	VERB
easat-7976	172	16	science	science	NOUN
easat-7976	172	17	and	and	CCONJ
easat-7976	172	18	technology	technology	NOUN
easat-7976	172	19	issn	issn	PROPN
easat-7976	172	20	:	:	PUNCT
easat-7976	172	21	2576	2576	NUM
easat-7976	172	22	-	-	SYM
easat-7976	172	23	8484	8484	NUM
easat-7976	172	24	vol	vol	NOUN
easat-7976	172	25	.	.	PROPN
easat-7976	173	1	9	9	NUM
easat-7976	173	2	,	,	PUNCT
easat-7976	173	3	no	no	INTJ
easat-7976	173	4	.	.	NOUN
easat-7976	174	1	6	6	NUM
easat-7976	174	2	:	:	SYM
easat-7976	174	3	925	925	NUM
easat-7976	174	4	-	-	SYM
easat-7976	174	5	938	938	NUM
easat-7976	174	6	,	,	PUNCT
easat-7976	174	7	2025	2025	NUM
easat-7976	174	8	doi	doi	NOUN
easat-7976	174	9	:	:	PUNCT
easat-7976	174	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	174	11	©	©	PROPN
easat-7976	174	12	2025	2025	NUM
easat-7976	174	13	by	by	ADP
easat-7976	174	14	the	the	DET
easat-7976	174	15	authors	author	NOUN
easat-7976	174	16	;	;	PUNCT
easat-7976	174	17	licensee	licensee	PROPN
easat-7976	174	18	learning	learn	VERB
easat-7976	174	19	gate	gate	PROPN
easat-7976	174	20	transition	transition	NOUN
easat-7976	174	21	and	and	CCONJ
easat-7976	174	22	fatigue	fatigue	NOUN
easat-7976	174	23	phases	phase	NOUN
easat-7976	174	24	.	.	PUNCT
easat-7976	175	1	these	these	DET
easat-7976	175	2	brief	brief	ADJ
easat-7976	175	3	classification	classification	NOUN
easat-7976	175	4	errors	error	NOUN
easat-7976	175	5	may	may	AUX
easat-7976	175	6	result	result	VERB
easat-7976	175	7	from	from	ADP
easat-7976	175	8	the	the	DET
easat-7976	175	9	linear	linear	ADJ
easat-7976	175	10	decision	decision	NOUN
easat-7976	175	11	surface	surface	NOUN
easat-7976	175	12	's	's	PART
easat-7976	175	13	inability	inability	NOUN
easat-7976	175	14	to	to	PART
easat-7976	175	15	fully	fully	ADV
easat-7976	175	16	capture	capture	VERB
easat-7976	175	17	the	the	DET
easat-7976	175	18	overlap	overlap	NOUN
easat-7976	175	19	between	between	ADP
easat-7976	175	20	feature	feature	NOUN
easat-7976	175	21	distributions	distribution	NOUN
easat-7976	175	22	.	.	PUNCT
easat-7976	176	1	svm	svm	PROPN
easat-7976	176	2	,	,	PUNCT
easat-7976	176	3	by	by	ADP
easat-7976	176	4	comparison	comparison	NOUN
easat-7976	176	5	,	,	PUNCT
easat-7976	176	6	generated	generate	VERB
easat-7976	176	7	more	more	ADV
easat-7976	176	8	fragmented	fragmented	ADJ
easat-7976	176	9	and	and	CCONJ
easat-7976	176	10	noisy	noisy	ADJ
easat-7976	176	11	segmentation	segmentation	NOUN
easat-7976	176	12	,	,	PUNCT
easat-7976	176	13	with	with	ADP
easat-7976	176	14	frequent	frequent	ADJ
easat-7976	176	15	oscillations	oscillation	NOUN
easat-7976	176	16	between	between	ADP
easat-7976	176	17	transition	transition	NOUN
easat-7976	176	18	and	and	CCONJ
easat-7976	176	19	fatigue	fatigue	NOUN
easat-7976	176	20	labels	label	NOUN
easat-7976	176	21	,	,	PUNCT
easat-7976	176	22	even	even	ADV
easat-7976	176	23	within	within	ADP
easat-7976	176	24	stable	stable	ADJ
easat-7976	176	25	signal	signal	NOUN
easat-7976	176	26	regions	region	NOUN
easat-7976	176	27	.	.	PUNCT
easat-7976	177	1	this	this	PRON
easat-7976	177	2	suggests	suggest	VERB
easat-7976	177	3	poor	poor	ADJ
easat-7976	177	4	generalization	generalization	NOUN
easat-7976	177	5	and	and	CCONJ
easat-7976	177	6	an	an	DET
easat-7976	177	7	inability	inability	NOUN
easat-7976	177	8	to	to	PART
easat-7976	177	9	model	model	VERB
easat-7976	177	10	nuanced	nuanced	ADJ
easat-7976	177	11	class	class	NOUN
easat-7976	177	12	boundaries	boundary	NOUN
easat-7976	177	13	in	in	ADP
easat-7976	177	14	the	the	DET
easat-7976	177	15	emg	emg	NOUN
easat-7976	177	16	feature	feature	NOUN
easat-7976	177	17	space	space	NOUN
easat-7976	177	18	.	.	PUNCT
easat-7976	178	1	the	the	DET
easat-7976	178	2	models	model	NOUN
easat-7976	178	3	were	be	AUX
easat-7976	178	4	generally	generally	ADV
easat-7976	178	5	effective	effective	ADJ
easat-7976	178	6	at	at	ADP
easat-7976	178	7	tracking	track	VERB
easat-7976	178	8	fatigue	fatigue	NOUN
easat-7976	178	9	development	development	NOUN
easat-7976	178	10	,	,	PUNCT
easat-7976	178	11	yet	yet	CCONJ
easat-7976	178	12	their	their	PRON
easat-7976	178	13	accuracy	accuracy	NOUN
easat-7976	178	14	in	in	ADP
easat-7976	178	15	pinpointing	pinpoint	VERB
easat-7976	178	16	the	the	DET
easat-7976	178	17	middle	middle	ADJ
easat-7976	178	18	phase	phase	NOUN
easat-7976	178	19	differed	differ	VERB
easat-7976	178	20	considerably	considerably	ADV
easat-7976	178	21	—	—	PUNCT
easat-7976	178	22	likely	likely	ADJ
easat-7976	178	23	because	because	SCONJ
easat-7976	178	24	muscular	muscular	ADJ
easat-7976	178	25	activation	activation	NOUN
easat-7976	178	26	patterns	pattern	NOUN
easat-7976	178	27	overlap	overlap	VERB
easat-7976	178	28	in	in	ADP
easat-7976	178	29	this	this	DET
easat-7976	178	30	stage	stage	NOUN
easat-7976	178	31	.	.	PUNCT
easat-7976	179	1	qda	qda	PROPN
easat-7976	179	2	’s	’s	PART
easat-7976	179	3	capacity	capacity	NOUN
easat-7976	179	4	to	to	PART
easat-7976	179	5	handle	handle	VERB
easat-7976	179	6	separate	separate	ADJ
easat-7976	179	7	covariance	covariance	NOUN
easat-7976	179	8	structures	structure	NOUN
easat-7976	179	9	for	for	ADP
easat-7976	179	10	each	each	DET
easat-7976	179	11	class	class	NOUN
easat-7976	179	12	enabled	enable	VERB
easat-7976	179	13	segmentation	segmentation	NOUN
easat-7976	179	14	that	that	PRON
easat-7976	179	15	appeared	appear	VERB
easat-7976	179	16	more	more	ADV
easat-7976	179	17	consistent	consistent	ADJ
easat-7976	179	18	with	with	ADP
easat-7976	179	19	physiological	physiological	ADJ
easat-7976	179	20	behavior	behavior	NOUN
easat-7976	179	21	.	.	PUNCT
easat-7976	180	1	this	this	DET
easat-7976	180	2	highlights	highlight	NOUN
easat-7976	180	3	that	that	PRON
easat-7976	180	4	choosing	choose	VERB
easat-7976	180	5	the	the	DET
easat-7976	180	6	right	right	ADJ
easat-7976	180	7	model	model	NOUN
easat-7976	180	8	depends	depend	VERB
easat-7976	180	9	not	not	PART
easat-7976	180	10	only	only	ADV
easat-7976	180	11	on	on	ADP
easat-7976	180	12	statistical	statistical	ADJ
easat-7976	180	13	metrics	metric	NOUN
easat-7976	180	14	but	but	CCONJ
easat-7976	180	15	also	also	ADV
easat-7976	180	16	on	on	ADP
easat-7976	180	17	how	how	SCONJ
easat-7976	180	18	well	well	ADV
easat-7976	180	19	the	the	DET
easat-7976	180	20	results	result	NOUN
easat-7976	180	21	can	can	AUX
easat-7976	180	22	be	be	AUX
easat-7976	180	23	interpreted	interpret	VERB
easat-7976	180	24	in	in	ADP
easat-7976	180	25	clinical	clinical	ADJ
easat-7976	180	26	or	or	CCONJ
easat-7976	180	27	biomechanical	biomechanical	ADJ
easat-7976	180	28	terms	term	NOUN
easat-7976	180	29	,	,	PUNCT
easat-7976	180	30	particularly	particularly	ADV
easat-7976	180	31	when	when	SCONJ
easat-7976	180	32	dealing	deal	VERB
easat-7976	180	33	with	with	ADP
easat-7976	180	34	gradual	gradual	ADJ
easat-7976	180	35	shifts	shift	NOUN
easat-7976	180	36	like	like	ADP
easat-7976	180	37	muscle	muscle	NOUN
easat-7976	180	38	fatigue	fatigue	NOUN
easat-7976	180	39	.	.	PUNCT
easat-7976	181	1	figure	figure	VERB
easat-7976	181	2	4	4	NUM
easat-7976	181	3	.	.	PUNCT
easat-7976	182	1	color	color	NOUN
easat-7976	182	2	-	-	PUNCT
easat-7976	182	3	coded	code	VERB
easat-7976	182	4	emg	emg	NOUN
easat-7976	182	5	signal	signal	NOUN
easat-7976	182	6	segmentation	segmentation	NOUN
easat-7976	182	7	based	base	VERB
easat-7976	182	8	on	on	ADP
easat-7976	182	9	svm	svm	PROPN
easat-7976	182	10	,	,	PUNCT
easat-7976	182	11	lda	lda	PROPN
easat-7976	182	12	,	,	PUNCT
easat-7976	182	13	and	and	CCONJ
easat-7976	182	14	qda	qda	NOUN
easat-7976	182	15	classification	classification	NOUN
easat-7976	182	16	models	model	NOUN
easat-7976	182	17	(	(	PUNCT
easat-7976	182	18	non	non	ADJ
easat-7976	182	19	-	-	NOUN
easat-7976	182	20	fatigue	fatigue	ADJ
easat-7976	182	21	:	:	PUNCT
easat-7976	182	22	green	green	ADJ
easat-7976	182	23	,	,	PUNCT
easat-7976	182	24	transition	transition	NOUN
easat-7976	182	25	:	:	PUNCT
easat-7976	182	26	blue	blue	ADJ
easat-7976	182	27	,	,	PUNCT
easat-7976	182	28	fatigue	fatigue	NOUN
easat-7976	182	29	:	:	PUNCT
easat-7976	182	30	red	red	ADJ
easat-7976	182	31	)	)	PUNCT
easat-7976	182	32	.	.	PUNCT
easat-7976	183	1	934	934	NUM
easat-7976	183	2	edelweiss	edelweiss	PROPN
easat-7976	183	3	applied	apply	VERB
easat-7976	183	4	science	science	NOUN
easat-7976	183	5	and	and	CCONJ
easat-7976	183	6	technology	technology	NOUN
easat-7976	183	7	issn	issn	PROPN
easat-7976	183	8	:	:	PUNCT
easat-7976	183	9	2576	2576	NUM
easat-7976	183	10	-	-	SYM
easat-7976	183	11	8484	8484	NUM
easat-7976	183	12	vol	vol	NOUN
easat-7976	183	13	.	.	PROPN
easat-7976	184	1	9	9	NUM
easat-7976	184	2	,	,	PUNCT
easat-7976	184	3	no	no	INTJ
easat-7976	184	4	.	.	NOUN
easat-7976	185	1	6	6	NUM
easat-7976	185	2	:	:	SYM
easat-7976	185	3	925	925	NUM
easat-7976	185	4	-	-	SYM
easat-7976	185	5	938	938	NUM
easat-7976	185	6	,	,	PUNCT
easat-7976	185	7	2025	2025	NUM
easat-7976	185	8	doi	doi	NOUN
easat-7976	185	9	:	:	PUNCT
easat-7976	185	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	185	11	©	©	PROPN
easat-7976	185	12	2025	2025	NUM
easat-7976	185	13	by	by	ADP
easat-7976	185	14	the	the	DET
easat-7976	185	15	authors	author	NOUN
easat-7976	185	16	;	;	PUNCT
easat-7976	185	17	licensee	licensee	PROPN
easat-7976	185	18	learning	learning	NOUN
easat-7976	185	19	gate	gate	VERB
easat-7976	185	20	3.3	3.3	NUM
easat-7976	185	21	.	.	PUNCT
easat-7976	186	1	regression	regression	NOUN
easat-7976	186	2	-	-	PUNCT
easat-7976	186	3	based	base	VERB
easat-7976	186	4	estimation	estimation	NOUN
easat-7976	186	5	of	of	ADP
easat-7976	186	6	force	force	NOUN
easat-7976	186	7	to	to	PART
easat-7976	186	8	deepen	deepen	VERB
easat-7976	186	9	the	the	DET
easat-7976	186	10	analysis	analysis	NOUN
easat-7976	186	11	beyond	beyond	ADP
easat-7976	186	12	discrete	discrete	ADJ
easat-7976	186	13	classification	classification	NOUN
easat-7976	186	14	,	,	PUNCT
easat-7976	186	15	a	a	DET
easat-7976	186	16	multiple	multiple	ADJ
easat-7976	186	17	linear	linear	ADJ
easat-7976	186	18	regression	regression	NOUN
easat-7976	186	19	(	(	PUNCT
easat-7976	186	20	mlr	mlr	NOUN
easat-7976	186	21	)	)	PUNCT
easat-7976	186	22	model	model	NOUN
easat-7976	186	23	was	be	AUX
easat-7976	186	24	implemented	implement	VERB
easat-7976	186	25	to	to	PART
easat-7976	186	26	predict	predict	VERB
easat-7976	186	27	continuous	continuous	ADJ
easat-7976	186	28	force	force	NOUN
easat-7976	186	29	values	value	NOUN
easat-7976	186	30	directly	directly	ADV
easat-7976	186	31	from	from	ADP
easat-7976	186	32	the	the	DET
easat-7976	186	33	same	same	ADJ
easat-7976	186	34	emg	emg	NOUN
easat-7976	186	35	feature	feature	NOUN
easat-7976	186	36	matrix	matrix	NOUN
easat-7976	186	37	.	.	PUNCT
easat-7976	187	1	unlike	unlike	ADP
easat-7976	187	2	classification	classification	NOUN
easat-7976	187	3	,	,	PUNCT
easat-7976	187	4	which	which	PRON
easat-7976	187	5	forces	force	VERB
easat-7976	187	6	each	each	DET
easat-7976	187	7	segment	segment	NOUN
easat-7976	187	8	into	into	ADP
easat-7976	187	9	a	a	DET
easat-7976	187	10	fixed	fix	VERB
easat-7976	187	11	label	label	NOUN
easat-7976	187	12	,	,	PUNCT
easat-7976	187	13	this	this	DET
easat-7976	187	14	regression	regression	NOUN
easat-7976	187	15	-	-	PUNCT
easat-7976	187	16	based	base	VERB
easat-7976	187	17	approach	approach	NOUN
easat-7976	187	18	preserves	preserve	VERB
easat-7976	187	19	the	the	DET
easat-7976	187	20	continuity	continuity	NOUN
easat-7976	187	21	of	of	ADP
easat-7976	187	22	muscular	muscular	ADJ
easat-7976	187	23	effort	effort	NOUN
easat-7976	187	24	.	.	PUNCT
easat-7976	188	1	the	the	DET
easat-7976	188	2	resulting	result	VERB
easat-7976	188	3	predicted	predict	VERB
easat-7976	188	4	force	force	NOUN
easat-7976	188	5	signal	signal	NOUN
easat-7976	188	6	was	be	AUX
easat-7976	188	7	then	then	ADV
easat-7976	188	8	segmented	segment	VERB
easat-7976	188	9	into	into	ADP
easat-7976	188	10	three	three	NUM
easat-7976	188	11	fatigue	fatigue	NOUN
easat-7976	188	12	phases	phase	NOUN
easat-7976	188	13	using	use	VERB
easat-7976	188	14	the	the	DET
easat-7976	188	15	same	same	ADJ
easat-7976	188	16	mvc	mvc	NOUN
easat-7976	188	17	-	-	PUNCT
easat-7976	188	18	based	base	VERB
easat-7976	188	19	thresholds	threshold	NOUN
easat-7976	188	20	applied	apply	VERB
easat-7976	188	21	to	to	ADP
easat-7976	188	22	the	the	DET
easat-7976	188	23	observed	observed	ADJ
easat-7976	188	24	force	force	NOUN
easat-7976	188	25	.	.	PUNCT
easat-7976	189	1	this	this	PRON
easat-7976	189	2	ensured	ensure	VERB
easat-7976	189	3	direct	direct	ADJ
easat-7976	189	4	comparability	comparability	NOUN
easat-7976	189	5	between	between	ADP
easat-7976	189	6	both	both	DET
easat-7976	189	7	approaches	approach	NOUN
easat-7976	189	8	.	.	PUNCT
easat-7976	190	1	as	as	SCONJ
easat-7976	190	2	shown	show	VERB
easat-7976	190	3	in	in	ADP
easat-7976	190	4	figure	figure	NOUN
easat-7976	190	5	5	5	NUM
easat-7976	190	6	,	,	PUNCT
easat-7976	190	7	the	the	DET
easat-7976	190	8	predicted	predict	VERB
easat-7976	190	9	force	force	NOUN
easat-7976	190	10	trajectory	trajectory	NOUN
easat-7976	190	11	closely	closely	ADV
easat-7976	190	12	followed	follow	VERB
easat-7976	190	13	the	the	DET
easat-7976	190	14	observed	observed	ADJ
easat-7976	190	15	force	force	NOUN
easat-7976	190	16	curve	curve	NOUN
easat-7976	190	17	across	across	ADP
easat-7976	190	18	the	the	DET
easat-7976	190	19	entire	entire	ADJ
easat-7976	190	20	contraction	contraction	NOUN
easat-7976	190	21	period	period	NOUN
easat-7976	190	22	.	.	PUNCT
easat-7976	191	1	the	the	DET
easat-7976	191	2	model	model	NOUN
easat-7976	191	3	achieved	achieve	VERB
easat-7976	191	4	a	a	DET
easat-7976	191	5	pearson	pearson	NOUN
easat-7976	191	6	correlation	correlation	NOUN
easat-7976	191	7	coefficient	coefficient	NOUN
easat-7976	191	8	of	of	ADP
easat-7976	191	9	0.96	0.96	NUM
easat-7976	191	10	,	,	PUNCT
easat-7976	191	11	demonstrating	demonstrate	VERB
easat-7976	191	12	strong	strong	ADJ
easat-7976	191	13	agreement	agreement	NOUN
easat-7976	191	14	between	between	ADP
easat-7976	191	15	predicted	predict	VERB
easat-7976	191	16	and	and	CCONJ
easat-7976	191	17	actual	actual	ADJ
easat-7976	191	18	values	value	NOUN
easat-7976	191	19	.	.	PUNCT
easat-7976	192	1	minor	minor	ADJ
easat-7976	192	2	discrepancies	discrepancy	NOUN
easat-7976	192	3	appeared	appear	VERB
easat-7976	192	4	primarily	primarily	ADV
easat-7976	192	5	during	during	ADP
easat-7976	192	6	the	the	DET
easat-7976	192	7	early	early	ADJ
easat-7976	192	8	contraction	contraction	NOUN
easat-7976	192	9	phase	phase	NOUN
easat-7976	192	10	and	and	CCONJ
easat-7976	192	11	in	in	ADP
easat-7976	192	12	late	late	ADJ
easat-7976	192	13	fatigue	fatigue	NOUN
easat-7976	192	14	,	,	PUNCT
easat-7976	192	15	where	where	SCONJ
easat-7976	192	16	emg	emg	NOUN
easat-7976	192	17	signal	signal	PROPN
easat-7976	192	18	quality	quality	NOUN
easat-7976	192	19	tends	tend	VERB
easat-7976	192	20	to	to	PART
easat-7976	192	21	decline	decline	VERB
easat-7976	192	22	due	due	ADJ
easat-7976	192	23	to	to	ADP
easat-7976	192	24	physiological	physiological	ADJ
easat-7976	192	25	and	and	CCONJ
easat-7976	192	26	measurement	measurement	NOUN
easat-7976	192	27	factors	factor	NOUN
easat-7976	192	28	.	.	PUNCT
easat-7976	193	1	the	the	DET
easat-7976	193	2	mlr	mlr	PROPN
easat-7976	193	3	model	model	NOUN
easat-7976	193	4	,	,	PUNCT
easat-7976	193	5	overall	overall	ADV
easat-7976	193	6	,	,	PUNCT
easat-7976	193	7	demonstrated	demonstrate	VERB
easat-7976	193	8	strong	strong	ADJ
easat-7976	193	9	capability	capability	NOUN
easat-7976	193	10	in	in	ADP
easat-7976	193	11	recreating	recreate	VERB
easat-7976	193	12	force	force	NOUN
easat-7976	193	13	output	output	NOUN
easat-7976	193	14	from	from	ADP
easat-7976	193	15	emg	emg	NOUN
easat-7976	193	16	signals	signal	NOUN
easat-7976	193	17	,	,	PUNCT
easat-7976	193	18	providing	provide	VERB
easat-7976	193	19	a	a	DET
easat-7976	193	20	fluid	fluid	NOUN
easat-7976	193	21	and	and	CCONJ
easat-7976	193	22	physiologically	physiologically	ADV
easat-7976	193	23	plausible	plausible	ADJ
easat-7976	193	24	view	view	NOUN
easat-7976	193	25	of	of	ADP
easat-7976	193	26	how	how	SCONJ
easat-7976	193	27	fatigue	fatigue	NOUN
easat-7976	193	28	advances	advance	VERB
easat-7976	193	29	.	.	PUNCT
easat-7976	194	1	steering	steer	VERB
easat-7976	194	2	clear	clear	ADV
easat-7976	194	3	of	of	ADP
easat-7976	194	4	sudden	sudden	ADJ
easat-7976	194	5	jumps	jump	NOUN
easat-7976	194	6	between	between	ADP
easat-7976	194	7	categories	category	NOUN
easat-7976	194	8	,	,	PUNCT
easat-7976	194	9	this	this	DET
easat-7976	194	10	approach	approach	NOUN
easat-7976	194	11	to	to	ADP
easat-7976	194	12	continuous	continuous	ADJ
easat-7976	194	13	force	force	NOUN
easat-7976	194	14	estimation	estimation	NOUN
easat-7976	194	15	reveals	reveal	VERB
easat-7976	194	16	nuanced	nuanced	ADJ
easat-7976	194	17	shifts	shift	NOUN
easat-7976	194	18	,	,	PUNCT
easat-7976	194	19	aligning	align	VERB
easat-7976	194	20	more	more	ADV
easat-7976	194	21	closely	closely	ADV
easat-7976	194	22	with	with	ADP
easat-7976	194	23	the	the	DET
easat-7976	194	24	slow	slow	ADJ
easat-7976	194	25	progression	progression	NOUN
easat-7976	194	26	typical	typical	ADJ
easat-7976	194	27	of	of	ADP
easat-7976	194	28	neuromuscular	neuromuscular	ADJ
easat-7976	194	29	deterioration	deterioration	NOUN
easat-7976	194	30	,	,	PUNCT
easat-7976	194	31	thus	thus	ADV
easat-7976	194	32	presenting	present	VERB
easat-7976	194	33	a	a	DET
easat-7976	194	34	valuable	valuable	ADJ
easat-7976	194	35	option	option	NOUN
easat-7976	194	36	beyond	beyond	ADP
easat-7976	194	37	strictly	strictly	ADV
easat-7976	194	38	discrete	discrete	VERB
easat-7976	194	39	classification	classification	NOUN
easat-7976	194	40	methods	method	NOUN
easat-7976	194	41	.	.	PUNCT
easat-7976	195	1	figure	figure	NOUN
easat-7976	195	2	5	5	NUM
easat-7976	195	3	.	.	PUNCT
easat-7976	195	4	comparison	comparison	NOUN
easat-7976	195	5	between	between	ADP
easat-7976	195	6	observed	observed	ADJ
easat-7976	195	7	and	and	CCONJ
easat-7976	195	8	predicted	predict	VERB
easat-7976	195	9	force	force	NOUN
easat-7976	195	10	using	use	VERB
easat-7976	195	11	the	the	DET
easat-7976	195	12	multiple	multiple	ADJ
easat-7976	195	13	linear	linear	PROPN
easat-7976	195	14	regression	regression	NOUN
easat-7976	195	15	model	model	NOUN
easat-7976	195	16	.	.	PUNCT
easat-7976	196	1	3.4	3.4	NUM
easat-7976	196	2	.	.	PUNCT
easat-7976	196	3	comparison	comparison	NOUN
easat-7976	196	4	between	between	ADP
easat-7976	196	5	observed	observed	ADJ
easat-7976	196	6	and	and	CCONJ
easat-7976	196	7	predicted	predict	VERB
easat-7976	196	8	force	force	NOUN
easat-7976	196	9	using	use	VERB
easat-7976	196	10	the	the	DET
easat-7976	196	11	multiple	multiple	ADJ
easat-7976	196	12	linear	linear	ADJ
easat-7976	196	13	regression	regression	NOUN
easat-7976	196	14	model	model	NOUN
easat-7976	196	15	to	to	PART
easat-7976	196	16	visualize	visualize	VERB
easat-7976	196	17	how	how	SCONJ
easat-7976	196	18	fatigue	fatigue	NOUN
easat-7976	196	19	phases	phase	NOUN
easat-7976	196	20	unfold	unfold	VERB
easat-7976	196	21	over	over	ADP
easat-7976	196	22	time	time	NOUN
easat-7976	196	23	,	,	PUNCT
easat-7976	196	24	the	the	DET
easat-7976	196	25	raw	raw	ADJ
easat-7976	196	26	emg	emg	NOUN
easat-7976	196	27	signal	signal	NOUN
easat-7976	196	28	of	of	ADP
easat-7976	196	29	the	the	DET
easat-7976	196	30	test	test	NOUN
easat-7976	196	31	subject	subject	NOUN
easat-7976	196	32	was	be	AUX
easat-7976	196	33	segmented	segment	VERB
easat-7976	196	34	and	and	CCONJ
easat-7976	196	35	color	color	NOUN
easat-7976	196	36	-	-	PUNCT
easat-7976	196	37	coded	code	VERB
easat-7976	196	38	on	on	ADP
easat-7976	196	39	the	the	DET
easat-7976	196	40	actual	actual	ADJ
easat-7976	196	41	observed	observed	ADJ
easat-7976	196	42	force	force	NOUN
easat-7976	196	43	trajectory	trajectory	NOUN
easat-7976	196	44	basis	basis	NOUN
easat-7976	196	45	.	.	PUNCT
easat-7976	197	1	as	as	SCONJ
easat-7976	197	2	seen	see	VERB
easat-7976	197	3	in	in	ADP
easat-7976	197	4	figure	figure	NOUN
easat-7976	197	5	.	.	PUNCT
easat-7976	198	1	6	6	NUM
easat-7976	198	2	,	,	PUNCT
easat-7976	198	3	the	the	DET
easat-7976	198	4	emg	emg	NOUN
easat-7976	198	5	signal	signal	NOUN
easat-7976	198	6	was	be	AUX
easat-7976	198	7	segmented	segment	VERB
easat-7976	198	8	into	into	ADP
easat-7976	198	9	green	green	ADJ
easat-7976	198	10	(	(	PUNCT
easat-7976	198	11	non	non	ADJ
easat-7976	198	12	-	-	NOUN
easat-7976	198	13	fatigue	fatigue	NOUN
easat-7976	198	14	)	)	PUNCT
easat-7976	198	15	,	,	PUNCT
easat-7976	198	16	orange	orange	PROPN
easat-7976	198	17	(	(	PUNCT
easat-7976	198	18	transition	transition	NOUN
easat-7976	198	19	)	)	PUNCT
easat-7976	198	20	,	,	PUNCT
easat-7976	198	21	and	and	CCONJ
easat-7976	198	22	red	red	ADJ
easat-7976	198	23	(	(	PUNCT
easat-7976	198	24	fatigue	fatigue	NOUN
easat-7976	198	25	)	)	PUNCT
easat-7976	198	26	zones	zone	NOUN
easat-7976	198	27	using	use	VERB
easat-7976	198	28	the	the	DET
easat-7976	198	29	predefined	predefine	VERB
easat-7976	198	30	force	force	NOUN
easat-7976	198	31	thresholds	threshold	NOUN
easat-7976	198	32	.	.	PUNCT
easat-7976	199	1	the	the	DET
easat-7976	199	2	segmentation	segmentation	NOUN
easat-7976	199	3	revealed	reveal	VERB
easat-7976	199	4	a	a	DET
easat-7976	199	5	clear	clear	ADJ
easat-7976	199	6	and	and	CCONJ
easat-7976	199	7	physiologically	physiologically	ADV
easat-7976	199	8	coherent	coherent	ADJ
easat-7976	199	9	evolution	evolution	NOUN
easat-7976	199	10	of	of	ADP
easat-7976	199	11	fatigue	fatigue	NOUN
easat-7976	199	12	,	,	PUNCT
easat-7976	199	13	with	with	ADP
easat-7976	199	14	increased	increase	VERB
easat-7976	199	15	amplitude	amplitude	NOUN
easat-7976	199	16	and	and	CCONJ
easat-7976	199	17	signal	signal	ADJ
easat-7976	199	18	density	density	NOUN
easat-7976	199	19	accompanying	accompany	VERB
easat-7976	199	20	the	the	DET
easat-7976	199	21	decline	decline	NOUN
easat-7976	199	22	in	in	ADP
easat-7976	199	23	force	force	NOUN
easat-7976	199	24	.	.	PUNCT
easat-7976	200	1	935	935	NUM
easat-7976	200	2	edelweiss	edelweiss	PROPN
easat-7976	200	3	applied	apply	VERB
easat-7976	200	4	science	science	NOUN
easat-7976	200	5	and	and	CCONJ
easat-7976	200	6	technology	technology	NOUN
easat-7976	200	7	issn	issn	PROPN
easat-7976	200	8	:	:	PUNCT
easat-7976	200	9	2576	2576	NUM
easat-7976	200	10	-	-	SYM
easat-7976	200	11	8484	8484	NUM
easat-7976	200	12	vol	vol	NOUN
easat-7976	200	13	.	.	PROPN
easat-7976	201	1	9	9	NUM
easat-7976	201	2	,	,	PUNCT
easat-7976	201	3	no	no	INTJ
easat-7976	201	4	.	.	NOUN
easat-7976	202	1	6	6	NUM
easat-7976	202	2	:	:	SYM
easat-7976	202	3	925	925	NUM
easat-7976	202	4	-	-	SYM
easat-7976	202	5	938	938	NUM
easat-7976	202	6	,	,	PUNCT
easat-7976	202	7	2025	2025	NUM
easat-7976	202	8	doi	doi	NOUN
easat-7976	202	9	:	:	PUNCT
easat-7976	202	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	202	11	©	©	PROPN
easat-7976	202	12	2025	2025	NUM
easat-7976	202	13	by	by	ADP
easat-7976	202	14	the	the	DET
easat-7976	202	15	authors	author	NOUN
easat-7976	202	16	;	;	PUNCT
easat-7976	202	17	licensee	licensee	PROPN
easat-7976	202	18	learning	learn	VERB
easat-7976	202	19	gate	gate	PROPN
easat-7976	202	20	figure	figure	NOUN
easat-7976	202	21	6	6	NUM
easat-7976	202	22	.	.	PUNCT
easat-7976	202	23	reference	reference	NOUN
easat-7976	202	24	fatigue	fatigue	NOUN
easat-7976	202	25	phase	phase	NOUN
easat-7976	202	26	mapping	mapping	NOUN
easat-7976	202	27	based	base	VERB
easat-7976	202	28	on	on	ADP
easat-7976	202	29	observed	observed	ADJ
easat-7976	202	30	force	force	NOUN
easat-7976	202	31	thresholds	threshold	NOUN
easat-7976	202	32	.	.	PUNCT
easat-7976	203	1	this	this	DET
easat-7976	203	2	representation	representation	NOUN
easat-7976	203	3	served	serve	VERB
easat-7976	203	4	as	as	ADP
easat-7976	203	5	the	the	DET
easat-7976	203	6	reference	reference	NOUN
easat-7976	203	7	for	for	ADP
easat-7976	203	8	comparison	comparison	NOUN
easat-7976	203	9	with	with	ADP
easat-7976	203	10	both	both	CCONJ
easat-7976	203	11	classification	classification	NOUN
easat-7976	203	12	and	and	CCONJ
easat-7976	203	13	regressionbased	regressionbase	VERB
easat-7976	203	14	mappings	mapping	NOUN
easat-7976	203	15	.	.	PUNCT
easat-7976	204	1	it	it	PRON
easat-7976	204	2	confirmed	confirm	VERB
easat-7976	204	3	that	that	SCONJ
easat-7976	204	4	fatigue	fatigue	NOUN
easat-7976	204	5	onset	onset	NOUN
easat-7976	204	6	is	be	AUX
easat-7976	204	7	not	not	PART
easat-7976	204	8	abrupt	abrupt	ADJ
easat-7976	204	9	but	but	CCONJ
easat-7976	204	10	follows	follow	VERB
easat-7976	204	11	a	a	DET
easat-7976	204	12	gradual	gradual	ADJ
easat-7976	204	13	and	and	CCONJ
easat-7976	204	14	progressive	progressive	ADJ
easat-7976	204	15	transition	transition	NOUN
easat-7976	204	16	,	,	PUNCT
easat-7976	204	17	reinforcing	reinforce	VERB
easat-7976	204	18	the	the	DET
easat-7976	204	19	awareness	awareness	NOUN
easat-7976	204	20	of	of	ADP
easat-7976	204	21	adopting	adopt	VERB
easat-7976	204	22	continuous	continuous	ADJ
easat-7976	204	23	or	or	CCONJ
easat-7976	204	24	flexible	flexible	ADJ
easat-7976	204	25	models	model	NOUN
easat-7976	204	26	.	.	PUNCT
easat-7976	205	1	3.5	3.5	NUM
easat-7976	205	2	.	.	PUNCT
easat-7976	205	3	emg	emg	NOUN
easat-7976	205	4	phase	phase	NOUN
easat-7976	205	5	mapping	mapping	NOUN
easat-7976	205	6	based	base	VERB
easat-7976	205	7	on	on	ADP
easat-7976	205	8	regression	regression	NOUN
easat-7976	205	9	output	output	NOUN
easat-7976	205	10	finally	finally	ADV
easat-7976	205	11	,	,	PUNCT
easat-7976	205	12	the	the	DET
easat-7976	205	13	fatigue	fatigue	NOUN
easat-7976	205	14	phases	phase	NOUN
easat-7976	205	15	inferred	infer	VERB
easat-7976	205	16	from	from	ADP
easat-7976	205	17	the	the	DET
easat-7976	205	18	mlr	mlr	NOUN
easat-7976	205	19	-	-	PUNCT
easat-7976	205	20	predicted	predict	VERB
easat-7976	205	21	force	force	NOUN
easat-7976	205	22	were	be	AUX
easat-7976	205	23	mapped	map	VERB
easat-7976	205	24	back	back	ADV
easat-7976	205	25	onto	onto	ADP
easat-7976	205	26	the	the	DET
easat-7976	205	27	emg	emg	NOUN
easat-7976	205	28	signal	signal	NOUN
easat-7976	205	29	.	.	PUNCT
easat-7976	206	1	the	the	DET
easat-7976	206	2	resulting	result	VERB
easat-7976	206	3	visualization	visualization	NOUN
easat-7976	206	4	(	(	PUNCT
easat-7976	206	5	figure	figure	NOUN
easat-7976	206	6	6	6	NUM
easat-7976	206	7	)	)	PUNCT
easat-7976	206	8	,	,	PUNCT
easat-7976	206	9	displays	display	VERB
easat-7976	206	10	color	color	NOUN
easat-7976	206	11	-	-	PUNCT
easat-7976	206	12	coded	code	VERB
easat-7976	206	13	emg	emg	NOUN
easat-7976	206	14	segments	segment	NOUN
easat-7976	206	15	based	base	VERB
easat-7976	206	16	on	on	ADP
easat-7976	206	17	regressionderived	regressionderive	VERB
easat-7976	206	18	force	force	NOUN
easat-7976	206	19	thresholds	threshold	NOUN
easat-7976	206	20	.	.	PUNCT
easat-7976	207	1	the	the	DET
easat-7976	207	2	mapping	mapping	NOUN
easat-7976	207	3	closely	closely	ADV
easat-7976	207	4	aligns	align	VERB
easat-7976	207	5	with	with	ADP
easat-7976	207	6	the	the	DET
easat-7976	207	7	ground	ground	NOUN
easat-7976	207	8	truth	truth	NOUN
easat-7976	207	9	as	as	SCONJ
easat-7976	207	10	can	can	AUX
easat-7976	207	11	be	be	AUX
easat-7976	207	12	seen	see	VERB
easat-7976	207	13	in	in	ADP
easat-7976	207	14	figure	figure	NOUN
easat-7976	207	15	5	5	NUM
easat-7976	207	16	,	,	PUNCT
easat-7976	207	17	emphasizing	emphasize	VERB
easat-7976	207	18	the	the	DET
easat-7976	207	19	regression	regression	NOUN
easat-7976	207	20	model	model	NOUN
easat-7976	207	21	’s	’s	PART
easat-7976	207	22	capacity	capacity	NOUN
easat-7976	207	23	to	to	PART
easat-7976	207	24	reconstruct	reconstruct	VERB
easat-7976	207	25	fatigue	fatigue	NOUN
easat-7976	207	26	phases	phase	NOUN
easat-7976	207	27	accurately	accurately	ADV
easat-7976	207	28	.	.	PUNCT
easat-7976	208	1	the	the	DET
easat-7976	208	2	resulting	result	VERB
easat-7976	208	3	segmentation	segmentation	NOUN
easat-7976	208	4	offered	offer	VERB
easat-7976	208	5	a	a	DET
easat-7976	208	6	smooth	smooth	ADJ
easat-7976	208	7	representation	representation	NOUN
easat-7976	208	8	of	of	ADP
easat-7976	208	9	fatigue	fatigue	NOUN
easat-7976	208	10	evolution	evolution	NOUN
easat-7976	208	11	and	and	CCONJ
easat-7976	208	12	aligned	align	VERB
easat-7976	208	13	closely	closely	ADV
easat-7976	208	14	with	with	ADP
easat-7976	208	15	the	the	DET
easat-7976	208	16	reference	reference	NOUN
easat-7976	208	17	force	force	NOUN
easat-7976	208	18	-	-	PUNCT
easat-7976	208	19	based	base	VERB
easat-7976	208	20	mapping	mapping	NOUN
easat-7976	208	21	(	(	PUNCT
easat-7976	208	22	see	see	VERB
easat-7976	208	23	figure	figure	NOUN
easat-7976	208	24	7	7	NUM
easat-7976	208	25	)	)	PUNCT
easat-7976	208	26	.	.	PUNCT
easat-7976	209	1	936	936	NUM
easat-7976	209	2	edelweiss	edelweiss	PROPN
easat-7976	209	3	applied	apply	VERB
easat-7976	209	4	science	science	NOUN
easat-7976	209	5	and	and	CCONJ
easat-7976	209	6	technology	technology	NOUN
easat-7976	209	7	issn	issn	PROPN
easat-7976	209	8	:	:	PUNCT
easat-7976	209	9	2576	2576	NUM
easat-7976	209	10	-	-	SYM
easat-7976	209	11	8484	8484	NUM
easat-7976	209	12	vol	vol	NOUN
easat-7976	209	13	.	.	PROPN
easat-7976	210	1	9	9	NUM
easat-7976	210	2	,	,	PUNCT
easat-7976	210	3	no	no	INTJ
easat-7976	210	4	.	.	NOUN
easat-7976	211	1	6	6	NUM
easat-7976	211	2	:	:	SYM
easat-7976	211	3	925	925	NUM
easat-7976	211	4	-	-	SYM
easat-7976	211	5	938	938	NUM
easat-7976	211	6	,	,	PUNCT
easat-7976	211	7	2025	2025	NUM
easat-7976	211	8	doi	doi	NOUN
easat-7976	211	9	:	:	PUNCT
easat-7976	211	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	211	11	©	©	PROPN
easat-7976	211	12	2025	2025	NUM
easat-7976	211	13	by	by	ADP
easat-7976	211	14	the	the	DET
easat-7976	211	15	authors	author	NOUN
easat-7976	211	16	;	;	PUNCT
easat-7976	211	17	licensee	licensee	PROPN
easat-7976	211	18	learning	learn	VERB
easat-7976	211	19	gate	gate	NOUN
easat-7976	211	20	figure	figure	NOUN
easat-7976	211	21	7	7	NUM
easat-7976	211	22	.	.	PUNCT
easat-7976	211	23	fatigue	fatigue	NOUN
easat-7976	211	24	phase	phase	NOUN
easat-7976	211	25	mapping	mapping	NOUN
easat-7976	211	26	based	base	VERB
easat-7976	211	27	on	on	ADP
easat-7976	211	28	regression	regression	NOUN
easat-7976	211	29	-	-	PUNCT
easat-7976	211	30	predicted	predict	VERB
easat-7976	211	31	force	force	NOUN
easat-7976	211	32	.	.	PUNCT
easat-7976	212	1	4	4	X
easat-7976	212	2	.	.	X
easat-7976	212	3	discussion	discussion	NOUN
easat-7976	212	4	4.1	4.1	NUM
easat-7976	212	5	.	.	PUNCT
easat-7976	213	1	comparative	comparative	ADJ
easat-7976	213	2	evaluation	evaluation	NOUN
easat-7976	213	3	of	of	ADP
easat-7976	213	4	classification	classification	NOUN
easat-7976	213	5	and	and	CCONJ
easat-7976	213	6	regression	regression	NOUN
easat-7976	213	7	strategies	strategy	NOUN
easat-7976	213	8	here	here	ADV
easat-7976	213	9	,	,	PUNCT
easat-7976	213	10	two	two	NUM
easat-7976	213	11	fundamentally	fundamentally	ADV
easat-7976	213	12	different	different	ADJ
easat-7976	213	13	approaches	approach	NOUN
easat-7976	213	14	—	—	PUNCT
easat-7976	213	15	classification	classification	NOUN
easat-7976	213	16	and	and	CCONJ
easat-7976	213	17	regression	regression	NOUN
easat-7976	213	18	—	—	PUNCT
easat-7976	213	19	were	be	AUX
easat-7976	213	20	tested	test	VERB
easat-7976	213	21	to	to	PART
easat-7976	213	22	describe	describe	VERB
easat-7976	213	23	local	local	ADJ
easat-7976	213	24	muscle	muscle	NOUN
easat-7976	213	25	fatigue	fatigue	NOUN
easat-7976	213	26	using	use	VERB
easat-7976	213	27	features	feature	NOUN
easat-7976	213	28	derived	derive	VERB
easat-7976	213	29	from	from	ADP
easat-7976	213	30	surface	surface	NOUN
easat-7976	213	31	electromyography	electromyography	NOUN
easat-7976	213	32	(	(	PUNCT
easat-7976	213	33	semg	semg	NOUN
easat-7976	213	34	)	)	PUNCT
easat-7976	213	35	.	.	PUNCT
easat-7976	214	1	qda	qda	PROPN
easat-7976	214	2	and	and	CCONJ
easat-7976	214	3	lda	lda	PROPN
easat-7976	214	4	,	,	PUNCT
easat-7976	214	5	among	among	ADP
easat-7976	214	6	the	the	DET
easat-7976	214	7	classifiers	classifier	NOUN
easat-7976	214	8	,	,	PUNCT
easat-7976	214	9	managed	manage	VERB
easat-7976	214	10	to	to	PART
easat-7976	214	11	separate	separate	VERB
easat-7976	214	12	non	non	ADJ
easat-7976	214	13	-	-	ADJ
easat-7976	214	14	fatigue	fatigue	ADJ
easat-7976	214	15	and	and	CCONJ
easat-7976	214	16	fatigue	fatigue	NOUN
easat-7976	214	17	states	state	NOUN
easat-7976	214	18	with	with	ADP
easat-7976	214	19	reasonable	reasonable	ADJ
easat-7976	214	20	success	success	NOUN
easat-7976	214	21	;	;	PUNCT
easat-7976	214	22	however	however	ADV
easat-7976	214	23	,	,	PUNCT
easat-7976	214	24	all	all	DET
easat-7976	214	25	classifiers	classifier	NOUN
easat-7976	214	26	,	,	PUNCT
easat-7976	214	27	including	include	VERB
easat-7976	214	28	svm	svm	PROPN
easat-7976	214	29	,	,	PUNCT
easat-7976	214	30	struggled	struggle	VERB
easat-7976	214	31	—	—	PUNCT
easat-7976	214	32	especially	especially	ADV
easat-7976	214	33	in	in	ADP
easat-7976	214	34	the	the	DET
easat-7976	214	35	transition	transition	NOUN
easat-7976	214	36	phase	phase	NOUN
easat-7976	214	37	,	,	PUNCT
easat-7976	214	38	where	where	SCONJ
easat-7976	214	39	muscular	muscular	ADJ
easat-7976	214	40	activity	activity	NOUN
easat-7976	214	41	patterns	pattern	NOUN
easat-7976	214	42	overlap	overlap	VERB
easat-7976	214	43	and	and	CCONJ
easat-7976	214	44	boundaries	boundary	NOUN
easat-7976	214	45	blur	blur	PROPN
easat-7976	214	46	.	.	PUNCT
easat-7976	215	1	on	on	ADP
easat-7976	215	2	the	the	DET
easat-7976	215	3	other	other	ADJ
easat-7976	215	4	hand	hand	NOUN
easat-7976	215	5	,	,	PUNCT
easat-7976	215	6	the	the	DET
easat-7976	215	7	mlr	mlr	NOUN
easat-7976	215	8	model	model	NOUN
easat-7976	215	9	provided	provide	VERB
easat-7976	215	10	a	a	DET
easat-7976	215	11	continuous	continuous	ADJ
easat-7976	215	12	estimate	estimate	NOUN
easat-7976	215	13	of	of	ADP
easat-7976	215	14	force	force	NOUN
easat-7976	215	15	,	,	PUNCT
easat-7976	215	16	which	which	PRON
easat-7976	215	17	—	—	PUNCT
easat-7976	215	18	once	once	SCONJ
easat-7976	215	19	physiological	physiological	ADJ
easat-7976	215	20	thresholds	threshold	NOUN
easat-7976	215	21	were	be	AUX
easat-7976	215	22	applied	apply	VERB
easat-7976	215	23	—	—	PUNCT
easat-7976	215	24	permitted	permit	VERB
easat-7976	215	25	a	a	DET
easat-7976	215	26	segmentation	segmentation	NOUN
easat-7976	215	27	that	that	PRON
easat-7976	215	28	avoided	avoid	VERB
easat-7976	215	29	rigid	rigid	ADJ
easat-7976	215	30	classification	classification	NOUN
easat-7976	215	31	lines	line	NOUN
easat-7976	215	32	;	;	PUNCT
easat-7976	215	33	this	this	PRON
easat-7976	215	34	better	well	ADV
easat-7976	215	35	represents	represent	VERB
easat-7976	215	36	the	the	DET
easat-7976	215	37	slow	slow	ADJ
easat-7976	215	38	,	,	PUNCT
easat-7976	215	39	ongoing	ongoing	ADJ
easat-7976	215	40	progression	progression	NOUN
easat-7976	215	41	typical	typical	ADJ
easat-7976	215	42	of	of	ADP
easat-7976	215	43	neuromuscular	neuromuscular	ADJ
easat-7976	215	44	fatigue	fatigue	NOUN
easat-7976	215	45	.	.	PUNCT
easat-7976	216	1	this	this	DET
easat-7976	216	2	contrast	contrast	NOUN
easat-7976	216	3	in	in	ADP
easat-7976	216	4	outcomes	outcome	NOUN
easat-7976	216	5	highlights	highlight	NOUN
easat-7976	216	6	how	how	SCONJ
easat-7976	216	7	challenging	challenging	ADJ
easat-7976	216	8	it	it	PRON
easat-7976	216	9	is	be	AUX
easat-7976	216	10	to	to	PART
easat-7976	216	11	model	model	VERB
easat-7976	216	12	gradual	gradual	ADJ
easat-7976	216	13	fatigue	fatigue	NOUN
easat-7976	216	14	transitions	transition	NOUN
easat-7976	216	15	and	and	CCONJ
easat-7976	216	16	suggests	suggest	VERB
easat-7976	216	17	that	that	SCONJ
easat-7976	216	18	continuous	continuous	ADJ
easat-7976	216	19	models	model	NOUN
easat-7976	216	20	,	,	PUNCT
easat-7976	216	21	despite	despite	SCONJ
easat-7976	216	22	their	their	PRON
easat-7976	216	23	complexity	complexity	NOUN
easat-7976	216	24	,	,	PUNCT
easat-7976	216	25	might	might	AUX
easat-7976	216	26	capture	capture	VERB
easat-7976	216	27	the	the	DET
easat-7976	216	28	nuances	nuance	NOUN
easat-7976	216	29	that	that	PRON
easat-7976	216	30	discrete	discrete	ADJ
easat-7976	216	31	classes	class	NOUN
easat-7976	216	32	miss	miss	VERB
easat-7976	216	33	.	.	PUNCT
easat-7976	217	1	4.2	4.2	NUM
easat-7976	217	2	.	.	PUNCT
easat-7976	218	1	reliability	reliability	NOUN
easat-7976	218	2	of	of	ADP
easat-7976	218	3	emg	emg	NOUN
easat-7976	218	4	-	-	PUNCT
easat-7976	218	5	based	base	VERB
easat-7976	218	6	fatigue	fatigue	NOUN
easat-7976	218	7	detection	detection	NOUN
easat-7976	218	8	without	without	ADP
easat-7976	218	9	force	force	NOUN
easat-7976	218	10	input	input	NOUN
easat-7976	218	11	the	the	DET
easat-7976	218	12	regression	regression	NOUN
easat-7976	218	13	approach	approach	NOUN
easat-7976	218	14	,	,	PUNCT
easat-7976	218	15	on	on	ADP
easat-7976	218	16	another	another	DET
easat-7976	218	17	side	side	NOUN
easat-7976	218	18	,	,	PUNCT
easat-7976	218	19	provided	provide	VERB
easat-7976	218	20	a	a	DET
easat-7976	218	21	continuous	continuous	ADJ
easat-7976	218	22	representation	representation	NOUN
easat-7976	218	23	of	of	ADP
easat-7976	218	24	muscle	muscle	NOUN
easat-7976	218	25	performance	performance	NOUN
easat-7976	218	26	by	by	ADP
easat-7976	218	27	estimating	estimate	VERB
easat-7976	218	28	force	force	NOUN
easat-7976	218	29	directly	directly	ADV
easat-7976	218	30	from	from	ADP
easat-7976	218	31	emg	emg	NOUN
easat-7976	218	32	features	feature	NOUN
easat-7976	218	33	.	.	PUNCT
easat-7976	219	1	this	this	PRON
easat-7976	219	2	allowed	allow	VERB
easat-7976	219	3	for	for	ADP
easat-7976	219	4	the	the	DET
easat-7976	219	5	identification	identification	NOUN
easat-7976	219	6	of	of	ADP
easat-7976	219	7	fatigue	fatigue	NOUN
easat-7976	219	8	phases	phase	NOUN
easat-7976	219	9	through	through	ADP
easat-7976	219	10	force	force	NOUN
easat-7976	219	11	-	-	PUNCT
easat-7976	219	12	based	base	VERB
easat-7976	219	13	segmentation	segmentation	NOUN
easat-7976	219	14	without	without	ADP
easat-7976	219	15	rigid	rigid	ADJ
easat-7976	219	16	categorical	categorical	ADJ
easat-7976	219	17	boundaries	boundary	NOUN
easat-7976	219	18	.	.	PUNCT
easat-7976	220	1	the	the	DET
easat-7976	220	2	regression	regression	NOUN
easat-7976	220	3	model	model	NOUN
easat-7976	220	4	demonstrated	demonstrate	VERB
easat-7976	220	5	strong	strong	ADJ
easat-7976	220	6	correlation	correlation	NOUN
easat-7976	220	7	with	with	ADP
easat-7976	220	8	observed	observed	ADJ
easat-7976	220	9	force	force	NOUN
easat-7976	220	10	values	value	NOUN
easat-7976	220	11	and	and	CCONJ
easat-7976	220	12	showed	show	VERB
easat-7976	220	13	improved	improved	ADJ
easat-7976	220	14	temporal	temporal	ADJ
easat-7976	220	15	consistency	consistency	NOUN
easat-7976	220	16	in	in	ADP
easat-7976	220	17	phase	phase	NOUN
easat-7976	220	18	mapping	mapping	NOUN
easat-7976	220	19	,	,	PUNCT
easat-7976	220	20	which	which	PRON
easat-7976	220	21	may	may	AUX
easat-7976	220	22	better	well	ADV
easat-7976	220	23	reflect	reflect	VERB
easat-7976	220	24	the	the	DET
easat-7976	220	25	physiological	physiological	ADJ
easat-7976	220	26	progression	progression	NOUN
easat-7976	220	27	of	of	ADP
easat-7976	220	28	fatigue	fatigue	NOUN
easat-7976	220	29	.	.	PUNCT
easat-7976	221	1	overall	overall	ADV
easat-7976	221	2	,	,	PUNCT
easat-7976	221	3	while	while	SCONJ
easat-7976	221	4	classification	classification	NOUN
easat-7976	221	5	enables	enable	VERB
easat-7976	221	6	rapid	rapid	ADJ
easat-7976	221	7	decision	decision	NOUN
easat-7976	221	8	-	-	PUNCT
easat-7976	221	9	making	make	VERB
easat-7976	221	10	and	and	CCONJ
easat-7976	221	11	discrete	discrete	ADJ
easat-7976	221	12	labelling	labelling	NOUN
easat-7976	221	13	,	,	PUNCT
easat-7976	221	14	regression	regression	NOUN
easat-7976	221	15	captures	capture	VERB
easat-7976	221	16	the	the	DET
easat-7976	221	17	gradual	gradual	ADJ
easat-7976	221	18	and	and	CCONJ
easat-7976	221	19	evolving	evolve	VERB
easat-7976	221	20	nature	nature	NOUN
easat-7976	221	21	of	of	ADP
easat-7976	221	22	fatigue	fatigue	NOUN
easat-7976	221	23	more	more	ADV
easat-7976	221	24	effectively	effectively	ADV
easat-7976	221	25	,	,	PUNCT
easat-7976	221	26	highlighting	highlight	VERB
easat-7976	221	27	the	the	DET
easat-7976	221	28	complementary	complementary	ADJ
easat-7976	221	29	strengths	strength	NOUN
easat-7976	221	30	of	of	ADP
easat-7976	221	31	both	both	DET
easat-7976	221	32	approaches	approach	NOUN
easat-7976	221	33	and	and	CCONJ
easat-7976	221	34	justifying	justify	VERB
easat-7976	221	35	their	their	PRON
easat-7976	221	36	comparative	comparative	ADJ
easat-7976	221	37	evaluation	evaluation	NOUN
easat-7976	221	38	.	.	PUNCT
easat-7976	222	1	5	5	X
easat-7976	222	2	.	.	X
easat-7976	222	3	conclusion	conclusion	NOUN
easat-7976	222	4	this	this	DET
easat-7976	222	5	study	study	NOUN
easat-7976	222	6	investigated	investigate	VERB
easat-7976	222	7	the	the	DET
easat-7976	222	8	modelling	modelling	NOUN
easat-7976	222	9	of	of	ADP
easat-7976	222	10	local	local	ADJ
easat-7976	222	11	muscle	muscle	NOUN
easat-7976	222	12	fatigue	fatigue	NOUN
easat-7976	222	13	phases	phase	NOUN
easat-7976	222	14	from	from	ADP
easat-7976	222	15	surface	surface	NOUN
easat-7976	222	16	emg	emg	NOUN
easat-7976	222	17	signals	signal	NOUN
easat-7976	222	18	using	use	VERB
easat-7976	222	19	both	both	CCONJ
easat-7976	222	20	classification	classification	NOUN
easat-7976	222	21	and	and	CCONJ
easat-7976	222	22	regression	regression	NOUN
easat-7976	222	23	approaches	approach	NOUN
easat-7976	222	24	.	.	PUNCT
easat-7976	223	1	by	by	ADP
easat-7976	223	2	analysing	analyse	VERB
easat-7976	223	3	a	a	DET
easat-7976	223	4	reduced	reduced	ADJ
easat-7976	223	5	set	set	NOUN
easat-7976	223	6	of	of	ADP
easat-7976	223	7	eleven	eleven	PROPN
easat-7976	223	8	emg	emg	NOUN
easat-7976	223	9	features	feature	VERB
easat-7976	223	10	across	across	ADP
easat-7976	223	11	937	937	NUM
easat-7976	223	12	edelweiss	edelweiss	PROPN
easat-7976	223	13	applied	apply	VERB
easat-7976	223	14	science	science	NOUN
easat-7976	223	15	and	and	CCONJ
easat-7976	223	16	technology	technology	NOUN
easat-7976	223	17	issn	issn	PROPN
easat-7976	223	18	:	:	PUNCT
easat-7976	223	19	2576	2576	NUM
easat-7976	223	20	-	-	SYM
easat-7976	223	21	8484	8484	NUM
easat-7976	223	22	vol	vol	NOUN
easat-7976	223	23	.	.	PROPN
easat-7976	224	1	9	9	NUM
easat-7976	224	2	,	,	PUNCT
easat-7976	224	3	no	no	INTJ
easat-7976	224	4	.	.	NOUN
easat-7976	225	1	6	6	NUM
easat-7976	225	2	:	:	SYM
easat-7976	225	3	925	925	NUM
easat-7976	225	4	-	-	SYM
easat-7976	225	5	938	938	NUM
easat-7976	225	6	,	,	PUNCT
easat-7976	225	7	2025	2025	NUM
easat-7976	225	8	doi	doi	NOUN
easat-7976	225	9	:	:	PUNCT
easat-7976	225	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	225	11	©	©	PROPN
easat-7976	225	12	2025	2025	NUM
easat-7976	225	13	by	by	ADP
easat-7976	225	14	the	the	DET
easat-7976	225	15	authors	author	NOUN
easat-7976	225	16	;	;	PUNCT
easat-7976	225	17	licensee	licensee	PROPN
easat-7976	225	18	learning	learn	VERB
easat-7976	225	19	gate	gate	PROPN
easat-7976	225	20	time	time	NOUN
easat-7976	225	21	,	,	PUNCT
easat-7976	225	22	time	time	NOUN
easat-7976	225	23	-	-	PUNCT
easat-7976	225	24	frequency	frequency	NOUN
easat-7976	225	25	,	,	PUNCT
easat-7976	225	26	and	and	CCONJ
easat-7976	225	27	nonlinear	nonlinear	ADJ
easat-7976	225	28	domains	domain	NOUN
easat-7976	225	29	,	,	PUNCT
easat-7976	225	30	we	we	PRON
easat-7976	225	31	trained	train	VERB
easat-7976	225	32	and	and	CCONJ
easat-7976	225	33	evaluated	evaluate	VERB
easat-7976	225	34	three	three	NUM
easat-7976	225	35	classification	classification	NOUN
easat-7976	225	36	models	model	NOUN
easat-7976	225	37	(	(	PUNCT
easat-7976	225	38	svm	svm	PROPN
easat-7976	225	39	,	,	PUNCT
easat-7976	225	40	lda	lda	PROPN
easat-7976	225	41	,	,	PUNCT
easat-7976	225	42	qda	qda	PROPN
easat-7976	225	43	)	)	PUNCT
easat-7976	225	44	and	and	CCONJ
easat-7976	225	45	a	a	DET
easat-7976	225	46	multiple	multiple	ADJ
easat-7976	225	47	linear	linear	ADJ
easat-7976	225	48	regression	regression	NOUN
easat-7976	225	49	(	(	PUNCT
easat-7976	225	50	mlr	mlr	NOUN
easat-7976	225	51	)	)	PUNCT
easat-7976	225	52	model	model	NOUN
easat-7976	225	53	.	.	PUNCT
easat-7976	226	1	the	the	DET
easat-7976	226	2	different	different	ADJ
easat-7976	226	3	phases	phase	NOUN
easat-7976	226	4	of	of	ADP
easat-7976	226	5	fatigue	fatigue	NOUN
easat-7976	226	6	were	be	AUX
easat-7976	226	7	labelled	label	VERB
easat-7976	226	8	based	base	VERB
easat-7976	226	9	on	on	ADP
easat-7976	226	10	thresholds	threshold	NOUN
easat-7976	226	11	derived	derive	VERB
easat-7976	226	12	from	from	ADP
easat-7976	226	13	observed	observed	ADJ
easat-7976	226	14	force	force	NOUN
easat-7976	226	15	levels	level	NOUN
easat-7976	226	16	,	,	PUNCT
easat-7976	226	17	using	use	VERB
easat-7976	226	18	criteria	criterion	NOUN
easat-7976	226	19	supported	support	VERB
easat-7976	226	20	in	in	ADP
easat-7976	226	21	the	the	DET
easat-7976	226	22	literature	literature	NOUN
easat-7976	226	23	.	.	PUNCT
easat-7976	227	1	while	while	SCONJ
easat-7976	227	2	all	all	DET
easat-7976	227	3	models	model	NOUN
easat-7976	227	4	were	be	AUX
easat-7976	227	5	able	able	ADJ
easat-7976	227	6	to	to	PART
easat-7976	227	7	capture	capture	VERB
easat-7976	227	8	key	key	ADJ
easat-7976	227	9	transitions	transition	NOUN
easat-7976	227	10	in	in	ADP
easat-7976	227	11	muscle	muscle	NOUN
easat-7976	227	12	activity	activity	NOUN
easat-7976	227	13	,	,	PUNCT
easat-7976	227	14	the	the	DET
easat-7976	227	15	regression	regression	NOUN
easat-7976	227	16	model	model	NOUN
easat-7976	227	17	(	(	PUNCT
easat-7976	227	18	mlr	mlr	NOUN
easat-7976	227	19	)	)	PUNCT
easat-7976	227	20	provided	provide	VERB
easat-7976	227	21	the	the	DET
easat-7976	227	22	best	good	ADJ
easat-7976	227	23	alignment	alignment	NOUN
easat-7976	227	24	with	with	ADP
easat-7976	227	25	the	the	DET
easat-7976	227	26	reference	reference	NOUN
easat-7976	227	27	force	force	NOUN
easat-7976	227	28	trajectory	trajectory	NOUN
easat-7976	227	29	.	.	PUNCT
easat-7976	228	1	it	it	PRON
easat-7976	228	2	delivered	deliver	VERB
easat-7976	228	3	continuous	continuous	ADJ
easat-7976	228	4	outputs	output	NOUN
easat-7976	228	5	that	that	PRON
easat-7976	228	6	enabled	enable	VERB
easat-7976	228	7	smooth	smooth	ADJ
easat-7976	228	8	phase	phase	NOUN
easat-7976	228	9	segmentation	segmentation	NOUN
easat-7976	228	10	and	and	CCONJ
easat-7976	228	11	greater	great	ADJ
easat-7976	228	12	temporal	temporal	ADJ
easat-7976	228	13	coherence	coherence	NOUN
easat-7976	228	14	,	,	PUNCT
easat-7976	228	15	particularly	particularly	ADV
easat-7976	228	16	in	in	ADP
easat-7976	228	17	the	the	DET
easat-7976	228	18	transition	transition	NOUN
easat-7976	228	19	phase	phase	NOUN
easat-7976	228	20	,	,	PUNCT
easat-7976	228	21	which	which	PRON
easat-7976	228	22	is	be	AUX
easat-7976	228	23	often	often	ADV
easat-7976	228	24	poorly	poorly	ADV
easat-7976	228	25	captured	capture	VERB
easat-7976	228	26	by	by	ADP
easat-7976	228	27	classifiers	classifier	NOUN
easat-7976	228	28	.	.	PUNCT
easat-7976	229	1	among	among	ADP
easat-7976	229	2	classification	classification	NOUN
easat-7976	229	3	models	model	NOUN
easat-7976	229	4	,	,	PUNCT
easat-7976	229	5	qda	qda	NOUN
easat-7976	229	6	showed	show	VERB
easat-7976	229	7	the	the	DET
easat-7976	229	8	optimal	optimal	ADJ
easat-7976	229	9	performance	performance	NOUN
easat-7976	229	10	in	in	ADP
easat-7976	229	11	both	both	DET
easat-7976	229	12	numerical	numerical	ADJ
easat-7976	229	13	metrics	metric	NOUN
easat-7976	229	14	and	and	CCONJ
easat-7976	229	15	phase	phase	NOUN
easat-7976	229	16	mapping	mapping	NOUN
easat-7976	229	17	.	.	PUNCT
easat-7976	230	1	regression	regression	NOUN
easat-7976	230	2	showed	show	VERB
easat-7976	230	3	clear	clear	ADJ
easat-7976	230	4	benefits	benefit	NOUN
easat-7976	230	5	by	by	ADP
easat-7976	230	6	delivering	deliver	VERB
easat-7976	230	7	fatigue	fatigue	NOUN
easat-7976	230	8	evaluations	evaluation	NOUN
easat-7976	230	9	that	that	PRON
easat-7976	230	10	align	align	VERB
easat-7976	230	11	closely	closely	ADV
easat-7976	230	12	with	with	ADP
easat-7976	230	13	physiological	physiological	ADJ
easat-7976	230	14	patterns	pattern	NOUN
easat-7976	230	15	and	and	CCONJ
easat-7976	230	16	offer	offer	VERB
easat-7976	230	17	smooth	smooth	ADJ
easat-7976	230	18	,	,	PUNCT
easat-7976	230	19	consistent	consistent	ADJ
easat-7976	230	20	visual	visual	ADJ
easat-7976	230	21	results	result	NOUN
easat-7976	230	22	—	—	PUNCT
easat-7976	230	23	classification	classification	NOUN
easat-7976	230	24	,	,	PUNCT
easat-7976	230	25	on	on	ADP
easat-7976	230	26	the	the	DET
easat-7976	230	27	other	other	ADJ
easat-7976	230	28	hand	hand	NOUN
easat-7976	230	29	,	,	PUNCT
easat-7976	230	30	proves	prove	VERB
easat-7976	230	31	useful	useful	ADJ
easat-7976	230	32	when	when	SCONJ
easat-7976	230	33	quick	quick	ADJ
easat-7976	230	34	,	,	PUNCT
easat-7976	230	35	distinct	distinct	ADJ
easat-7976	230	36	state	state	NOUN
easat-7976	230	37	recognition	recognition	NOUN
easat-7976	230	38	is	be	AUX
easat-7976	230	39	essential	essential	ADJ
easat-7976	230	40	;	;	PUNCT
easat-7976	230	41	moving	move	VERB
easat-7976	230	42	forward	forward	ADV
easat-7976	230	43	,	,	PUNCT
easat-7976	230	44	exploring	explore	VERB
easat-7976	230	45	hybrid	hybrid	ADJ
easat-7976	230	46	frameworks	framework	NOUN
easat-7976	230	47	or	or	CCONJ
easat-7976	230	48	leveraging	leverage	VERB
easat-7976	230	49	deep	deep	ADJ
easat-7976	230	50	learning	learning	NOUN
easat-7976	230	51	could	could	AUX
easat-7976	230	52	open	open	VERB
easat-7976	230	53	new	new	ADJ
easat-7976	230	54	paths	path	NOUN
easat-7976	230	55	to	to	PART
easat-7976	230	56	boost	boost	VERB
easat-7976	230	57	both	both	DET
easat-7976	230	58	accuracy	accuracy	NOUN
easat-7976	230	59	and	and	CCONJ
easat-7976	230	60	robustness	robustness	NOUN
easat-7976	230	61	in	in	ADP
easat-7976	230	62	tracking	track	VERB
easat-7976	230	63	muscle	muscle	NOUN
easat-7976	230	64	fatigue	fatigue	NOUN
easat-7976	230	65	through	through	ADP
easat-7976	230	66	semg	semg	NOUN
easat-7976	230	67	signals	signal	NOUN
easat-7976	230	68	.	.	PUNCT
easat-7976	231	1	institutional	institutional	ADJ
easat-7976	231	2	review	review	PROPN
easat-7976	231	3	board	board	NOUN
easat-7976	231	4	statement	statement	NOUN
easat-7976	231	5	:	:	PUNCT
easat-7976	231	6	ethical	ethical	ADJ
easat-7976	231	7	review	review	NOUN
easat-7976	231	8	and	and	CCONJ
easat-7976	231	9	approval	approval	NOUN
easat-7976	231	10	were	be	AUX
easat-7976	231	11	waived	waive	VERB
easat-7976	231	12	for	for	ADP
easat-7976	231	13	this	this	DET
easat-7976	231	14	study	study	NOUN
easat-7976	231	15	due	due	ADP
easat-7976	231	16	to	to	ADP
easat-7976	231	17	its	its	PRON
easat-7976	231	18	non	non	ADJ
easat-7976	231	19	-	-	ADJ
easat-7976	231	20	invasive	invasive	ADJ
easat-7976	231	21	nature	nature	NOUN
easat-7976	231	22	and	and	CCONJ
easat-7976	231	23	adherence	adherence	NOUN
easat-7976	231	24	to	to	ADP
easat-7976	231	25	standard	standard	ADJ
easat-7976	231	26	academic	academic	ADJ
easat-7976	231	27	protocols	protocol	NOUN
easat-7976	231	28	for	for	ADP
easat-7976	231	29	human	human	ADJ
easat-7976	231	30	experimentation	experimentation	NOUN
easat-7976	231	31	.	.	PUNCT
easat-7976	232	1	all	all	DET
easat-7976	232	2	procedures	procedure	NOUN
easat-7976	232	3	were	be	AUX
easat-7976	232	4	carried	carry	VERB
easat-7976	232	5	out	out	ADP
easat-7976	232	6	in	in	ADP
easat-7976	232	7	accordance	accordance	NOUN
easat-7976	232	8	with	with	ADP
easat-7976	232	9	the	the	DET
easat-7976	232	10	declaration	declaration	NOUN
easat-7976	232	11	of	of	ADP
easat-7976	232	12	helsinki	helsinki	PROPN
easat-7976	232	13	,	,	PUNCT
easat-7976	232	14	and	and	CCONJ
easat-7976	232	15	informed	informed	ADJ
easat-7976	232	16	consent	consent	NOUN
easat-7976	232	17	was	be	AUX
easat-7976	232	18	obtained	obtain	VERB
easat-7976	232	19	from	from	ADP
easat-7976	232	20	all	all	DET
easat-7976	232	21	participants	participant	NOUN
easat-7976	232	22	.	.	PUNCT
easat-7976	233	1	transparency	transparency	NOUN
easat-7976	233	2	:	:	PUNCT
easat-7976	233	3	the	the	DET
easat-7976	233	4	authors	author	NOUN
easat-7976	233	5	confirm	confirm	VERB
easat-7976	233	6	that	that	SCONJ
easat-7976	233	7	the	the	DET
easat-7976	233	8	manuscript	manuscript	NOUN
easat-7976	233	9	is	be	AUX
easat-7976	233	10	an	an	DET
easat-7976	233	11	honest	honest	ADJ
easat-7976	233	12	,	,	PUNCT
easat-7976	233	13	accurate	accurate	ADJ
easat-7976	233	14	,	,	PUNCT
easat-7976	233	15	and	and	CCONJ
easat-7976	233	16	transparent	transparent	ADJ
easat-7976	233	17	account	account	NOUN
easat-7976	233	18	of	of	ADP
easat-7976	233	19	the	the	DET
easat-7976	233	20	study	study	NOUN
easat-7976	233	21	;	;	PUNCT
easat-7976	233	22	that	that	SCONJ
easat-7976	233	23	no	no	DET
easat-7976	233	24	vital	vital	ADJ
easat-7976	233	25	features	feature	NOUN
easat-7976	233	26	of	of	ADP
easat-7976	233	27	the	the	DET
easat-7976	233	28	study	study	NOUN
easat-7976	233	29	have	have	AUX
easat-7976	233	30	been	be	AUX
easat-7976	233	31	omitted	omit	VERB
easat-7976	233	32	;	;	PUNCT
easat-7976	233	33	and	and	CCONJ
easat-7976	233	34	that	that	SCONJ
easat-7976	233	35	any	any	DET
easat-7976	233	36	discrepancies	discrepancy	NOUN
easat-7976	233	37	from	from	ADP
easat-7976	233	38	the	the	DET
easat-7976	233	39	study	study	NOUN
easat-7976	233	40	as	as	SCONJ
easat-7976	233	41	planned	plan	VERB
easat-7976	233	42	have	have	AUX
easat-7976	233	43	been	be	AUX
easat-7976	233	44	explained	explain	VERB
easat-7976	233	45	.	.	PUNCT
easat-7976	234	1	this	this	DET
easat-7976	234	2	study	study	NOUN
easat-7976	234	3	followed	follow	VERB
easat-7976	234	4	all	all	DET
easat-7976	234	5	ethical	ethical	ADJ
easat-7976	234	6	practices	practice	NOUN
easat-7976	234	7	during	during	ADP
easat-7976	234	8	writing	writing	NOUN
easat-7976	234	9	.	.	PUNCT
easat-7976	235	1	copyright	copyright	NOUN
easat-7976	235	2	:	:	PUNCT
easat-7976	235	3	©	©	PROPN
easat-7976	235	4	2025	2025	NUM
easat-7976	235	5	by	by	ADP
easat-7976	235	6	the	the	DET
easat-7976	235	7	authors	author	NOUN
easat-7976	235	8	.	.	PUNCT
easat-7976	236	1	this	this	DET
easat-7976	236	2	open	open	ADJ
easat-7976	236	3	-	-	PUNCT
easat-7976	236	4	access	access	NOUN
easat-7976	236	5	article	article	NOUN
easat-7976	236	6	is	be	AUX
easat-7976	236	7	distributed	distribute	VERB
easat-7976	236	8	under	under	ADP
easat-7976	236	9	the	the	DET
easat-7976	236	10	terms	term	NOUN
easat-7976	236	11	and	and	CCONJ
easat-7976	236	12	conditions	condition	NOUN
easat-7976	236	13	of	of	ADP
easat-7976	236	14	the	the	DET
easat-7976	236	15	creative	creative	ADJ
easat-7976	236	16	commons	common	NOUN
easat-7976	236	17	attribution	attribution	NOUN
easat-7976	236	18	(	(	PUNCT
easat-7976	236	19	cc	cc	NOUN
easat-7976	236	20	by	by	ADP
easat-7976	236	21	)	)	PUNCT
easat-7976	236	22	license	license	NOUN
easat-7976	236	23	(	(	PUNCT
easat-7976	236	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-7976	236	25	)	)	PUNCT
easat-7976	236	26	.	.	PUNCT
easat-7976	237	1	references	reference	NOUN
easat-7976	237	2	[	[	X
easat-7976	237	3	1	1	NUM
easat-7976	237	4	]	]	X
easat-7976	237	5	r.	r.	PROPN
easat-7976	237	6	m.	m.	PROPN
easat-7976	237	7	enoka	enoka	PROPN
easat-7976	237	8	and	and	CCONJ
easat-7976	237	9	j.	j.	PROPN
easat-7976	237	10	duchateau	duchateau	PROPN
easat-7976	237	11	,	,	PUNCT
easat-7976	237	12	"	"	PUNCT
easat-7976	237	13	translating	translate	VERB
easat-7976	237	14	fatigue	fatigue	NOUN
easat-7976	237	15	to	to	ADP
easat-7976	237	16	human	human	ADJ
easat-7976	237	17	performance	performance	NOUN
easat-7976	237	18	,	,	PUNCT
easat-7976	237	19	"	"	PUNCT
easat-7976	237	20	medicine	medicine	NOUN
easat-7976	237	21	&	&	CCONJ
easat-7976	237	22	science	science	PROPN
easat-7976	237	23	in	in	ADP
easat-7976	237	24	sports	sport	NOUN
easat-7976	237	25	&	&	CCONJ
easat-7976	237	26	exercise	exercise	NOUN
easat-7976	237	27	,	,	PUNCT
easat-7976	237	28	vol	vol	NOUN
easat-7976	237	29	.	.	PROPN
easat-7976	237	30	48	48	NUM
easat-7976	237	31	,	,	PUNCT
easat-7976	237	32	no	no	INTJ
easat-7976	237	33	.	.	NOUN
easat-7976	237	34	11	11	NUM
easat-7976	237	35	,	,	PUNCT
easat-7976	237	36	p.	p.	NOUN
easat-7976	237	37	2228	2228	NUM
easat-7976	237	38	,	,	PUNCT
easat-7976	237	39	2016	2016	NUM
easat-7976	237	40	.	.	PUNCT
easat-7976	238	1	[	[	X
easat-7976	238	2	2	2	NUM
easat-7976	238	3	]	]	PUNCT
easat-7976	238	4	m.	m.	NOUN
easat-7976	238	5	gazzoni	gazzoni	PROPN
easat-7976	238	6	,	,	PUNCT
easat-7976	238	7	a.	a.	NOUN
easat-7976	238	8	farina	farina	PROPN
easat-7976	238	9	,	,	PUNCT
easat-7976	238	10	and	and	CCONJ
easat-7976	238	11	d.	d.	PROPN
easat-7976	238	12	merletti	merletti	PROPN
easat-7976	238	13	,	,	PUNCT
easat-7976	238	14	"	"	PUNCT
easat-7976	238	15	surface	surface	NOUN
easat-7976	238	16	emg	emg	NOUN
easat-7976	238	17	and	and	CCONJ
easat-7976	238	18	muscle	muscle	NOUN
easat-7976	238	19	fatigue	fatigue	NOUN
easat-7976	238	20	:	:	PUNCT
easat-7976	238	21	multi	multi	ADJ
easat-7976	238	22	-	-	ADJ
easat-7976	238	23	channel	channel	NOUN
easat-7976	238	24	approaches	approach	NOUN
easat-7976	238	25	to	to	ADP
easat-7976	238	26	the	the	DET
easat-7976	238	27	study	study	NOUN
easat-7976	238	28	of	of	ADP
easat-7976	238	29	myoelectric	myoelectric	ADJ
easat-7976	238	30	manifestations	manifestation	NOUN
easat-7976	238	31	of	of	ADP
easat-7976	238	32	muscle	muscle	NOUN
easat-7976	238	33	fatigue	fatigue	NOUN
easat-7976	238	34	,	,	PUNCT
easat-7976	238	35	"	"	PUNCT
easat-7976	238	36	journal	journal	NOUN
easat-7976	238	37	of	of	ADP
easat-7976	238	38	electromyography	electromyography	NOUN
easat-7976	238	39	and	and	CCONJ
easat-7976	238	40	kinesiology	kinesiology	NOUN
easat-7976	238	41	,	,	PUNCT
easat-7976	238	42	vol	vol	NOUN
easat-7976	238	43	.	.	PROPN
easat-7976	238	44	28	28	NUM
easat-7976	238	45	,	,	PUNCT
easat-7976	238	46	pp	pp	ADJ
easat-7976	238	47	.	.	PUNCT
easat-7976	239	1	10–18	10–18	NUM
easat-7976	239	2	,	,	PUNCT
easat-7976	239	3	2017	2017	NUM
easat-7976	239	4	.	.	PUNCT
easat-7976	240	1	[	[	X
easat-7976	240	2	3	3	X
easat-7976	240	3	]	]	PUNCT
easat-7976	240	4	m.	m.	PROPN
easat-7976	240	5	r.	r.	PROPN
easat-7976	240	6	ahsan	ahsan	PROPN
easat-7976	240	7	,	,	PUNCT
easat-7976	240	8	m.	m.	NOUN
easat-7976	240	9	i.	i.	PROPN
easat-7976	240	10	ibrahimy	ibrahimy	PROPN
easat-7976	240	11	,	,	PUNCT
easat-7976	240	12	and	and	CCONJ
easat-7976	240	13	o.	o.	PROPN
easat-7976	240	14	o.	o.	PROPN
easat-7976	240	15	khalifa	khalifa	PROPN
easat-7976	240	16	,	,	PUNCT
easat-7976	240	17	"	"	PUNCT
easat-7976	240	18	electromygraphy	electromygraphy	NOUN
easat-7976	240	19	(	(	PUNCT
easat-7976	240	20	emg	emg	NOUN
easat-7976	240	21	)	)	PUNCT
easat-7976	240	22	signal	signal	NOUN
easat-7976	240	23	based	base	VERB
easat-7976	240	24	hand	hand	NOUN
easat-7976	240	25	gesture	gesture	NOUN
easat-7976	240	26	recognition	recognition	NOUN
easat-7976	240	27	using	use	VERB
easat-7976	240	28	artificial	artificial	ADJ
easat-7976	240	29	neural	neural	ADJ
easat-7976	240	30	network	network	NOUN
easat-7976	240	31	(	(	PUNCT
easat-7976	240	32	ann	ann	PROPN
easat-7976	240	33	)	)	PUNCT
easat-7976	240	34	,	,	PUNCT
easat-7976	240	35	"	"	PUNCT
easat-7976	240	36	presented	present	VERB
easat-7976	240	37	at	at	ADP
easat-7976	240	38	the	the	DET
easat-7976	240	39	2011	2011	NUM
easat-7976	240	40	4th	4th	ADJ
easat-7976	240	41	international	international	ADJ
easat-7976	240	42	conference	conference	NOUN
easat-7976	240	43	on	on	ADP
easat-7976	240	44	mechatronics	mechatronic	NOUN
easat-7976	240	45	(	(	PUNCT
easat-7976	240	46	icom	icom	PROPN
easat-7976	240	47	)	)	PUNCT
easat-7976	240	48	,	,	PUNCT
easat-7976	240	49	2011	2011	NUM
easat-7976	240	50	.	.	PUNCT
easat-7976	241	1	[	[	X
easat-7976	241	2	4	4	X
easat-7976	241	3	]	]	X
easat-7976	241	4	f.	f.	PROPN
easat-7976	241	5	hug	hug	PROPN
easat-7976	241	6	,	,	PUNCT
easat-7976	241	7	g.	g.	PROPN
easat-7976	241	8	bendahan	bendahan	PROPN
easat-7976	241	9	,	,	PUNCT
easat-7976	241	10	and	and	CCONJ
easat-7976	241	11	d.	d.	PROPN
easat-7976	241	12	maton	maton	PROPN
easat-7976	241	13	,	,	PUNCT
easat-7976	241	14	"	"	PUNCT
easat-7976	241	15	interpretation	interpretation	NOUN
easat-7976	241	16	of	of	ADP
easat-7976	241	17	emg	emg	PROPN
easat-7976	241	18	integral	integral	ADJ
easat-7976	241	19	or	or	CCONJ
easat-7976	241	20	rms	rm	NOUN
easat-7976	241	21	and	and	CCONJ
easat-7976	241	22	estimates	estimate	NOUN
easat-7976	241	23	of	of	ADP
easat-7976	241	24	"	"	PUNCT
easat-7976	241	25	neuromuscular	neuromuscular	ADJ
easat-7976	241	26	efficiency	efficiency	NOUN
easat-7976	241	27	"	"	PUNCT
easat-7976	241	28	can	can	AUX
easat-7976	241	29	be	be	AUX
easat-7976	241	30	misleading	mislead	VERB
easat-7976	241	31	in	in	ADP
easat-7976	241	32	fatiguing	fatigue	VERB
easat-7976	241	33	contraction	contraction	NOUN
easat-7976	241	34	,	,	PUNCT
easat-7976	241	35	"	"	PUNCT
easat-7976	241	36	journal	journal	NOUN
easat-7976	241	37	of	of	ADP
easat-7976	241	38	electromyography	electromyography	NOUN
easat-7976	241	39	and	and	CCONJ
easat-7976	241	40	kinesiology	kinesiology	NOUN
easat-7976	241	41	,	,	PUNCT
easat-7976	241	42	vol	vol	NOUN
easat-7976	241	43	.	.	PROPN
easat-7976	241	44	20	20	NUM
easat-7976	241	45	,	,	PUNCT
easat-7976	241	46	no	no	INTJ
easat-7976	241	47	.	.	NOUN
easat-7976	241	48	2	2	NUM
easat-7976	241	49	,	,	PUNCT
easat-7976	241	50	pp	pp	ADJ
easat-7976	241	51	.	.	PUNCT
easat-7976	242	1	223–232	223–232	NUM
easat-7976	242	2	,	,	PUNCT
easat-7976	242	3	2009	2009	NUM
easat-7976	242	4	.	.	PUNCT
easat-7976	243	1	https://doi.org/10.1016/j.jelekin.2009.01.008	https://doi.org/10.1016/j.jelekin.2009.01.008	NOUN
easat-7976	243	2	[	[	X
easat-7976	243	3	5	5	NUM
easat-7976	243	4	]	]	PUNCT
easat-7976	243	5	a.	a.	NOUN
easat-7976	243	6	phinyomark	phinyomark	PROPN
easat-7976	243	7	,	,	PUNCT
easat-7976	243	8	s.	s.	PROPN
easat-7976	243	9	hirunviriya	hirunviriya	PROPN
easat-7976	243	10	,	,	PUNCT
easat-7976	243	11	c.	c.	PROPN
easat-7976	243	12	limsakul	limsakul	PROPN
easat-7976	243	13	,	,	PUNCT
easat-7976	243	14	and	and	CCONJ
easat-7976	243	15	p.	p.	NOUN
easat-7976	243	16	phukpattaranont	phukpattaranont	NOUN
easat-7976	243	17	,	,	PUNCT
easat-7976	243	18	"	"	PUNCT
easat-7976	243	19	evaluation	evaluation	NOUN
easat-7976	243	20	of	of	ADP
easat-7976	243	21	emg	emg	NOUN
easat-7976	243	22	feature	feature	NOUN
easat-7976	243	23	extraction	extraction	NOUN
easat-7976	243	24	for	for	ADP
easat-7976	243	25	hand	hand	NOUN
easat-7976	243	26	movement	movement	NOUN
easat-7976	243	27	recognition	recognition	NOUN
easat-7976	243	28	based	base	VERB
easat-7976	243	29	on	on	ADP
easat-7976	243	30	euclidean	euclidean	ADJ
easat-7976	243	31	distance	distance	NOUN
easat-7976	243	32	and	and	CCONJ
easat-7976	243	33	standard	standard	ADJ
easat-7976	243	34	deviation	deviation	NOUN
easat-7976	243	35	,	,	PUNCT
easat-7976	243	36	"	"	PUNCT
easat-7976	243	37	presented	present	VERB
easat-7976	243	38	at	at	ADP
easat-7976	243	39	the	the	DET
easat-7976	243	40	ecti	ecti	NOUN
easat-7976	243	41	-	-	PUNCT
easat-7976	243	42	con2010	con2010	NOUN
easat-7976	243	43	:	:	PUNCT
easat-7976	243	44	the	the	DET
easat-7976	243	45	2010	2010	NUM
easat-7976	243	46	ecti	ecti	VERB
easat-7976	243	47	international	international	ADJ
easat-7976	243	48	confernce	confernce	NOUN
easat-7976	243	49	on	on	ADP
easat-7976	243	50	electrical	electrical	ADJ
easat-7976	243	51	engineering	engineering	NOUN
easat-7976	243	52	/	/	SYM
easat-7976	243	53	electronics	electronic	NOUN
easat-7976	243	54	,	,	PUNCT
easat-7976	243	55	computer	computer	NOUN
easat-7976	243	56	,	,	PUNCT
easat-7976	243	57	telecommunications	telecommunication	NOUN
easat-7976	243	58	and	and	CCONJ
easat-7976	243	59	information	information	NOUN
easat-7976	243	60	technology	technology	NOUN
easat-7976	243	61	,	,	PUNCT
easat-7976	243	62	2010	2010	NUM
easat-7976	243	63	.	.	PUNCT
easat-7976	244	1	[	[	X
easat-7976	244	2	6	6	NUM
easat-7976	244	3	]	]	PUNCT
easat-7976	244	4	s.	s.	PROPN
easat-7976	244	5	solnik	solnik	PROPN
easat-7976	244	6	,	,	PUNCT
easat-7976	244	7	p.	p.	PROPN
easat-7976	244	8	devita	devita	PROPN
easat-7976	244	9	,	,	PUNCT
easat-7976	244	10	p.	p.	NOUN
easat-7976	244	11	rider	rider	NOUN
easat-7976	244	12	,	,	PUNCT
easat-7976	244	13	b.	b.	PROPN
easat-7976	244	14	long	long	ADV
easat-7976	244	15	,	,	PUNCT
easat-7976	244	16	and	and	CCONJ
easat-7976	244	17	t.	t.	PROPN
easat-7976	244	18	hortobágyi	hortobágyi	PROPN
easat-7976	244	19	,	,	PUNCT
easat-7976	244	20	"	"	PUNCT
easat-7976	244	21	teager	teager	NOUN
easat-7976	244	22	–	–	PUNCT
easat-7976	244	23	kaiser	kaiser	NOUN
easat-7976	244	24	operator	operator	NOUN
easat-7976	244	25	improves	improve	VERB
easat-7976	244	26	the	the	DET
easat-7976	244	27	accuracy	accuracy	NOUN
easat-7976	244	28	of	of	ADP
easat-7976	244	29	emg	emg	NOUN
easat-7976	244	30	onset	onset	NOUN
easat-7976	244	31	detection	detection	NOUN
easat-7976	244	32	independent	independent	ADJ
easat-7976	244	33	of	of	ADP
easat-7976	244	34	signal	signal	NOUN
easat-7976	244	35	-	-	PUNCT
easat-7976	244	36	to	to	ADP
easat-7976	244	37	-	-	PUNCT
easat-7976	244	38	noise	noise	NOUN
easat-7976	244	39	ratio	ratio	NOUN
easat-7976	244	40	,	,	PUNCT
easat-7976	244	41	"	"	PUNCT
easat-7976	244	42	acta	acta	NOUN
easat-7976	244	43	of	of	ADP
easat-7976	244	44	bioengineering	bioengineering	NOUN
easat-7976	244	45	and	and	CCONJ
easat-7976	244	46	biomechanics	biomechanic	NOUN
easat-7976	244	47	,	,	PUNCT
easat-7976	244	48	vol	vol	NOUN
easat-7976	244	49	.	.	PROPN
easat-7976	245	1	10	10	NUM
easat-7976	245	2	,	,	PUNCT
easat-7976	245	3	no	no	INTJ
easat-7976	245	4	.	.	NOUN
easat-7976	245	5	2	2	NUM
easat-7976	245	6	,	,	PUNCT
easat-7976	245	7	pp	pp	ADJ
easat-7976	245	8	.	.	PUNCT
easat-7976	246	1	65–68	65–68	NUM
easat-7976	246	2	,	,	PUNCT
easat-7976	246	3	2008	2008	NUM
easat-7976	246	4	.	.	PUNCT
easat-7976	247	1	[	[	X
easat-7976	247	2	7	7	X
easat-7976	247	3	]	]	X
easat-7976	247	4	r.	r.	PROPN
easat-7976	247	5	swaminathan	swaminathan	PROPN
easat-7976	247	6	and	and	CCONJ
easat-7976	247	7	b.	b.	PROPN
easat-7976	247	8	k.	k.	PROPN
easat-7976	247	9	panigrahi	panigrahi	PROPN
easat-7976	247	10	,	,	PUNCT
easat-7976	247	11	"	"	PUNCT
easat-7976	247	12	an	an	DET
easat-7976	247	13	inventive	inventive	ADJ
easat-7976	247	14	quadratic	quadratic	ADJ
easat-7976	247	15	time	time	NOUN
easat-7976	247	16	-	-	PUNCT
easat-7976	247	17	frequency	frequency	NOUN
easat-7976	247	18	scheme	scheme	NOUN
easat-7976	247	19	based	base	VERB
easat-7976	247	20	on	on	ADP
easat-7976	247	21	wigner	wign	ADJ
easat-7976	247	22	–	–	PUNCT
easat-7976	247	23	ville	ville	NOUN
easat-7976	247	24	distribution	distribution	NOUN
easat-7976	247	25	for	for	ADP
easat-7976	247	26	classification	classification	NOUN
easat-7976	247	27	of	of	ADP
easat-7976	247	28	semg	semg	NOUN
easat-7976	247	29	signals	signal	NOUN
easat-7976	247	30	,	,	PUNCT
easat-7976	247	31	"	"	PUNCT
easat-7976	247	32	in	in	ADP
easat-7976	247	33	proceedings	proceeding	NOUN
easat-7976	247	34	of	of	ADP
easat-7976	247	35	the	the	DET
easat-7976	247	36	2007	2007	NUM
easat-7976	247	37	ieee	ieee	NOUN
easat-7976	247	38	region	region	NOUN
easat-7976	247	39	10	10	NUM
easat-7976	247	40	conference	conference	NOUN
easat-7976	247	41	(	(	PUNCT
easat-7976	247	42	tencon	tencon	NOUN
easat-7976	247	43	)	)	PUNCT
easat-7976	247	44	.	.	PUNCT
easat-7976	248	1	taipei	taipei	PROPN
easat-7976	248	2	,	,	PUNCT
easat-7976	248	3	taiwan	taiwan	PROPN
easat-7976	248	4	:	:	PUNCT
easat-7976	248	5	ieee	ieee	NOUN
easat-7976	248	6	,	,	PUNCT
easat-7976	248	7	2007	2007	NUM
easat-7976	248	8	.	.	PUNCT
easat-7976	249	1	[	[	X
easat-7976	249	2	8	8	NUM
easat-7976	249	3	]	]	PUNCT
easat-7976	249	4	m.	m.	NOUN
easat-7976	249	5	ahmad	ahmad	PROPN
easat-7976	249	6	,	,	PUNCT
easat-7976	249	7	a.	a.	NOUN
easat-7976	249	8	m.	m.	NOUN
easat-7976	249	9	bhatti	bhatti	PROPN
easat-7976	249	10	,	,	PUNCT
easat-7976	249	11	s.	s.	PROPN
easat-7976	249	12	khan	khan	PROPN
easat-7976	249	13	,	,	PUNCT
easat-7976	249	14	and	and	CCONJ
easat-7976	249	15	a.	a.	PROPN
easat-7976	249	16	iqbal	iqbal	PROPN
easat-7976	249	17	,	,	PUNCT
easat-7976	249	18	"	"	PUNCT
easat-7976	249	19	emg	emg	NOUN
easat-7976	249	20	processing‑based	processing‑base	VERB
easat-7976	249	21	measures	measure	NOUN
easat-7976	249	22	of	of	ADP
easat-7976	249	23	fatigue	fatigue	NOUN
easat-7976	249	24	assessment	assessment	NOUN
easat-7976	249	25	during	during	ADP
easat-7976	249	26	manual	manual	ADJ
easat-7976	249	27	lifting	lifting	NOUN
easat-7976	249	28	,	,	PUNCT
easat-7976	249	29	"	"	PUNCT
easat-7976	249	30	in	in	ADP
easat-7976	249	31	proceedings	proceeding	NOUN
easat-7976	249	32	of	of	ADP
easat-7976	249	33	the	the	DET
easat-7976	249	34	2017	2017	NUM
easat-7976	249	35	international	international	ADJ
easat-7976	249	36	conference	conference	NOUN
easat-7976	249	37	on	on	ADP
easat-7976	249	38	innovations	innovation	NOUN
easat-7976	249	39	in	in	ADP
easat-7976	249	40	electrical	electrical	ADJ
easat-7976	249	41	engineering	engineering	NOUN
easat-7976	249	42	and	and	CCONJ
easat-7976	249	43	computational	computational	ADJ
easat-7976	249	44	technologies	technology	NOUN
easat-7976	249	45	(	(	PUNCT
easat-7976	249	46	icieect	icieect	PROPN
easat-7976	249	47	)	)	PUNCT
easat-7976	249	48	.	.	PUNCT
easat-7976	250	1	karachi	karachi	PROPN
easat-7976	250	2	,	,	PUNCT
easat-7976	250	3	pakistan	pakistan	PROPN
easat-7976	250	4	:	:	PUNCT
easat-7976	250	5	ieee	ieee	NOUN
easat-7976	250	6	,	,	PUNCT
easat-7976	250	7	2017	2017	NUM
easat-7976	250	8	.	.	PUNCT
easat-7976	251	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-7976	251	2	https://doi.org/10.1016/j.jelekin.2009.01.008	https://doi.org/10.1016/j.jelekin.2009.01.008	PROPN
easat-7976	251	3	938	938	NUM
easat-7976	251	4	edelweiss	edelweiss	PROPN
easat-7976	251	5	applied	apply	VERB
easat-7976	251	6	science	science	NOUN
easat-7976	251	7	and	and	CCONJ
easat-7976	251	8	technology	technology	NOUN
easat-7976	251	9	issn	issn	PROPN
easat-7976	251	10	:	:	PUNCT
easat-7976	251	11	2576	2576	NUM
easat-7976	251	12	-	-	SYM
easat-7976	251	13	8484	8484	NUM
easat-7976	251	14	vol	vol	NOUN
easat-7976	251	15	.	.	PROPN
easat-7976	252	1	9	9	NUM
easat-7976	252	2	,	,	PUNCT
easat-7976	252	3	no	no	INTJ
easat-7976	252	4	.	.	NOUN
easat-7976	253	1	6	6	NUM
easat-7976	253	2	:	:	SYM
easat-7976	253	3	925	925	NUM
easat-7976	253	4	-	-	SYM
easat-7976	253	5	938	938	NUM
easat-7976	253	6	,	,	PUNCT
easat-7976	253	7	2025	2025	NUM
easat-7976	253	8	doi	doi	NOUN
easat-7976	253	9	:	:	PUNCT
easat-7976	253	10	10.55214/25768484.v9i6.7976	10.55214/25768484.v9i6.7976	NUM
easat-7976	253	11	©	©	PROPN
easat-7976	253	12	2025	2025	NUM
easat-7976	253	13	by	by	ADP
easat-7976	253	14	the	the	DET
easat-7976	253	15	authors	author	NOUN
easat-7976	253	16	;	;	PUNCT
easat-7976	253	17	licensee	licensee	PROPN
easat-7976	253	18	learning	learning	NOUN
easat-7976	253	19	gate	gate	NOUN
easat-7976	254	1	[	[	X
easat-7976	254	2	9	9	NUM
easat-7976	254	3	]	]	PUNCT
easat-7976	254	4	k.	k.	PROPN
easat-7976	254	5	hara	hara	PROPN
easat-7976	254	6	,	,	PUNCT
easat-7976	254	7	t.	t.	PROPN
easat-7976	254	8	nishimoto	nishimoto	NOUN
easat-7976	254	9	,	,	PUNCT
easat-7976	254	10	and	and	CCONJ
easat-7976	254	11	y.	y.	PROPN
easat-7976	254	12	kuroda	kuroda	PROPN
easat-7976	254	13	,	,	PUNCT
easat-7976	254	14	"	"	PUNCT
easat-7976	255	1	decoding	decode	VERB
easat-7976	255	2	of	of	ADP
easat-7976	255	3	facial	facial	ADJ
easat-7976	255	4	muscle	muscle	NOUN
easat-7976	255	5	–	–	PUNCT
easat-7976	255	6	brain	brain	NOUN
easat-7976	255	7	relation	relation	NOUN
easat-7976	255	8	by	by	ADP
easat-7976	255	9	information‑based	information‑base	VERB
easat-7976	255	10	analysis	analysis	NOUN
easat-7976	255	11	of	of	ADP
easat-7976	255	12	electromyogram	electromyogram	NOUN
easat-7976	255	13	(	(	PUNCT
easat-7976	255	14	emg	emg	NOUN
easat-7976	255	15	)	)	PUNCT
easat-7976	255	16	and	and	CCONJ
easat-7976	255	17	electroencephalogram	electroencephalogram	NOUN
easat-7976	255	18	(	(	PUNCT
easat-7976	255	19	eeg	eeg	NOUN
easat-7976	255	20	)	)	PUNCT
easat-7976	255	21	signals	signal	NOUN
easat-7976	255	22	,	,	PUNCT
easat-7976	255	23	"	"	PUNCT
easat-7976	255	24	biomedical	biomedical	ADJ
easat-7976	255	25	signal	signal	NOUN
easat-7976	255	26	processing	processing	NOUN
easat-7976	255	27	and	and	CCONJ
easat-7976	255	28	control	control	NOUN
easat-7976	255	29	,	,	PUNCT
easat-7976	255	30	vol	vol	NOUN
easat-7976	255	31	.	.	PROPN
easat-7976	256	1	68	68	NUM
easat-7976	256	2	,	,	PUNCT
easat-7976	256	3	p.	p.	NOUN
easat-7976	256	4	102665	102665	NUM
easat-7976	256	5	,	,	PUNCT
easat-7976	256	6	2021	2021	NUM
easat-7976	256	7	.	.	PUNCT
easat-7976	257	1	[	[	X
easat-7976	257	2	10	10	NUM
easat-7976	257	3	]	]	PUNCT
easat-7976	257	4	m.	m.	NOUN
easat-7976	257	5	u.	u.	PROPN
easat-7976	257	6	ahmed	ahmed	PROPN
easat-7976	257	7	,	,	PUNCT
easat-7976	257	8	s.	s.	PROPN
easat-7976	257	9	u.	u.	PROPN
easat-7976	257	10	amin	amin	PROPN
easat-7976	257	11	,	,	PUNCT
easat-7976	257	12	a.	a.	PROPN
easat-7976	257	13	h.	h.	PROPN
easat-7976	257	14	mollah	mollah	PROPN
easat-7976	257	15	,	,	PUNCT
easat-7976	257	16	and	and	CCONJ
easat-7976	257	17	s.	s.	PROPN
easat-7976	257	18	h.	h.	PROPN
easat-7976	257	19	m.	m.	PROPN
easat-7976	257	20	amin	amin	PROPN
easat-7976	257	21	,	,	PUNCT
easat-7976	257	22	"	"	PUNCT
easat-7976	257	23	neuromuscular	neuromuscular	ADJ
easat-7976	257	24	disorders	disorder	NOUN
easat-7976	257	25	detection	detection	NOUN
easat-7976	257	26	through	through	ADP
easat-7976	257	27	timefrequency	timefrequency	NOUN
easat-7976	257	28	analysis	analysis	NOUN
easat-7976	257	29	and	and	CCONJ
easat-7976	257	30	classification	classification	NOUN
easat-7976	257	31	of	of	ADP
easat-7976	257	32	multi	multi	ADJ
easat-7976	257	33	-	-	ADJ
easat-7976	257	34	muscular	muscular	ADJ
easat-7976	257	35	emg	emg	NOUN
easat-7976	257	36	signals	signal	NOUN
easat-7976	257	37	using	use	VERB
easat-7976	257	38	hilbert	hilbert	PROPN
easat-7976	257	39	–	–	PUNCT
easat-7976	257	40	huang	huang	PROPN
easat-7976	257	41	transform	transform	NOUN
easat-7976	257	42	,	,	PUNCT
easat-7976	257	43	"	"	PUNCT
easat-7976	257	44	biomedical	biomedical	ADJ
easat-7976	257	45	signal	signal	NOUN
easat-7976	257	46	processing	processing	NOUN
easat-7976	257	47	and	and	CCONJ
easat-7976	257	48	control	control	NOUN
easat-7976	257	49	,	,	PUNCT
easat-7976	257	50	vol	vol	NOUN
easat-7976	257	51	.	.	PROPN
easat-7976	257	52	71	71	NUM
easat-7976	257	53	,	,	PUNCT
easat-7976	257	54	p.	p.	NOUN
easat-7976	257	55	103155	103155	NUM
easat-7976	257	56	,	,	PUNCT
easat-7976	257	57	2022	2022	NUM
easat-7976	257	58	.	.	PUNCT
easat-7976	258	1	[	[	X
easat-7976	258	2	11	11	NUM
easat-7976	258	3	]	]	PUNCT
easat-7976	258	4	m.	m.	NOUN
easat-7976	258	5	atzori	atzori	PROPN
easat-7976	258	6	,	,	PUNCT
easat-7976	258	7	j.	j.	PROPN
easat-7976	258	8	müller	müller	PROPN
easat-7976	258	9	,	,	PUNCT
easat-7976	258	10	a.	a.	PROPN
easat-7976	258	11	f.	f.	PROPN
easat-7976	258	12	cognolato	cognolato	PROPN
easat-7976	258	13	,	,	PUNCT
easat-7976	258	14	g.	g.	PROPN
easat-7976	258	15	gijsberts	gijsberts	PROPN
easat-7976	258	16	,	,	PUNCT
easat-7976	258	17	and	and	CCONJ
easat-7976	258	18	h.	h.	PROPN
easat-7976	258	19	müller	müller	PROPN
easat-7976	258	20	,	,	PUNCT
easat-7976	258	21	"	"	PUNCT
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easat-7976	258	23	classification	classification	NOUN
easat-7976	258	24	and	and	CCONJ
easat-7976	258	25	regression	regression	NOUN
easat-7976	258	26	for	for	ADP
easat-7976	258	27	simultaneous	simultaneous	ADJ
easat-7976	258	28	and	and	CCONJ
easat-7976	258	29	proportional	proportional	ADJ
easat-7976	258	30	emg	emg	NOUN
easat-7976	258	31	control	control	NOUN
easat-7976	258	32	of	of	ADP
easat-7976	258	33	wrist	wrist	NOUN
easat-7976	258	34	forces	force	NOUN
easat-7976	258	35	,	,	PUNCT
easat-7976	258	36	"	"	PUNCT
easat-7976	258	37	in	in	ADP
easat-7976	258	38	proceedings	proceeding	NOUN
easat-7976	258	39	of	of	ADP
easat-7976	258	40	the	the	DET
easat-7976	258	41	37th	37th	ADJ
easat-7976	258	42	annual	annual	ADJ
easat-7976	258	43	international	international	ADJ
easat-7976	258	44	conference	conference	NOUN
easat-7976	258	45	of	of	ADP
easat-7976	258	46	the	the	DET
easat-7976	258	47	ieee	ieee	NOUN
easat-7976	258	48	engineering	engineering	NOUN
easat-7976	258	49	in	in	ADP
easat-7976	258	50	medicine	medicine	NOUN
easat-7976	258	51	and	and	CCONJ
easat-7976	258	52	biology	biology	NOUN
easat-7976	258	53	society	society	NOUN
easat-7976	258	54	(	(	PUNCT
easat-7976	258	55	embc	embc	PROPN
easat-7976	258	56	)	)	PUNCT
easat-7976	258	57	.	.	PUNCT
easat-7976	258	58	milan	milan	PROPN
easat-7976	258	59	,	,	PUNCT
easat-7976	258	60	italy	italy	PROPN
easat-7976	258	61	,	,	PUNCT
easat-7976	258	62	2015	2015	NUM
easat-7976	258	63	,	,	PUNCT
easat-7976	258	64	pp	pp	ADJ
easat-7976	258	65	.	.	PUNCT
easat-7976	258	66	2917–2920	2917–2920	NUM
easat-7976	258	67	.	.	PUNCT
easat-7976	259	1	[	[	X
easat-7976	259	2	12	12	NUM
easat-7976	259	3	]	]	PUNCT
easat-7976	259	4	m.	m.	NOUN
easat-7976	259	5	m.	m.	PROPN
easat-7976	259	6	n.	n.	PROPN
easat-7976	259	7	m.	m.	PROPN
easat-7976	259	8	isa	isa	PROPN
easat-7976	259	9	and	and	CCONJ
easat-7976	259	10	m.	m.	PROPN
easat-7976	259	11	s.	s.	PROPN
easat-7976	259	12	m.	m.	PROPN
easat-7976	259	13	aris	aris	PROPN
easat-7976	259	14	,	,	PUNCT
easat-7976	259	15	"	"	PUNCT
easat-7976	259	16	classification	classification	NOUN
easat-7976	259	17	of	of	ADP
easat-7976	259	18	localized	localized	ADJ
easat-7976	259	19	muscle	muscle	NOUN
easat-7976	259	20	fatigue	fatigue	NOUN
easat-7976	259	21	with	with	ADP
easat-7976	259	22	genetic	genetic	ADJ
easat-7976	259	23	programming	programming	NOUN
easat-7976	259	24	on	on	ADP
easat-7976	259	25	semg	semg	NOUN
easat-7976	259	26	during	during	ADP
easat-7976	259	27	isometric	isometric	ADJ
easat-7976	259	28	contraction	contraction	NOUN
easat-7976	259	29	,	,	PUNCT
easat-7976	259	30	"	"	PUNCT
easat-7976	259	31	in	in	ADP
easat-7976	259	32	proceedings	proceeding	NOUN
easat-7976	259	33	of	of	ADP
easat-7976	259	34	the	the	DET
easat-7976	259	35	2009	2009	NUM
easat-7976	259	36	international	international	ADJ
easat-7976	259	37	conference	conference	NOUN
easat-7976	259	38	on	on	ADP
easat-7976	259	39	signal	signal	ADJ
easat-7976	259	40	processing	processing	NOUN
easat-7976	259	41	systems	system	NOUN
easat-7976	259	42	.	.	PUNCT
easat-7976	260	1	singapore	singapore	PROPN
easat-7976	260	2	,	,	PUNCT
easat-7976	260	3	2009	2009	NUM
easat-7976	260	4	,	,	PUNCT
easat-7976	260	5	pp	pp	ADV
easat-7976	260	6	.	.	PUNCT
easat-7976	261	1	401–405	401–405	NUM
easat-7976	261	2	.	.	PUNCT
easat-7976	262	1	[	[	X
easat-7976	262	2	13	13	NUM
easat-7976	262	3	]	]	PUNCT
easat-7976	262	4	r.	r.	NOUN
easat-7976	262	5	marri	marri	PROPN
easat-7976	262	6	and	and	CCONJ
easat-7976	262	7	r.	r.	PROPN
easat-7976	262	8	swaminathan	swaminathan	PROPN
easat-7976	262	9	,	,	PUNCT
easat-7976	262	10	"	"	PUNCT
easat-7976	262	11	classification	classification	NOUN
easat-7976	262	12	of	of	ADP
easat-7976	262	13	muscle	muscle	NOUN
easat-7976	262	14	fatigue	fatigue	NOUN
easat-7976	262	15	using	use	VERB
easat-7976	262	16	surface	surface	NOUN
easat-7976	262	17	electromyography	electromyography	NOUN
easat-7976	262	18	signals	signal	NOUN
easat-7976	262	19	and	and	CCONJ
easat-7976	262	20	multifractals	multifractal	NOUN
easat-7976	262	21	,	,	PUNCT
easat-7976	262	22	"	"	PUNCT
easat-7976	262	23	engineering	engineering	NOUN
easat-7976	262	24	,	,	PUNCT
easat-7976	262	25	technology	technology	NOUN
easat-7976	262	26	&	&	CCONJ
easat-7976	262	27	applied	apply	VERB
easat-7976	262	28	science	science	NOUN
easat-7976	262	29	research	research	NOUN
easat-7976	262	30	,	,	PUNCT
easat-7976	262	31	vol	vol	NOUN
easat-7976	262	32	.	.	PROPN
easat-7976	262	33	5	5	NUM
easat-7976	262	34	,	,	PUNCT
easat-7976	262	35	no	no	INTJ
easat-7976	262	36	.	.	NOUN
easat-7976	262	37	1	1	NUM
easat-7976	262	38	,	,	PUNCT
easat-7976	262	39	pp	pp	ADJ
easat-7976	262	40	.	.	PUNCT
easat-7976	263	1	739–743	739–743	NUM
easat-7976	263	2	,	,	PUNCT
easat-7976	263	3	2015	2015	NUM
easat-7976	263	4	.	.	PUNCT
easat-7976	264	1	[	[	X
easat-7976	264	2	14	14	NUM
easat-7976	264	3	]	]	X
easat-7976	264	4	n.	n.	PROPN
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easat-7976	264	6	et	et	PROPN
easat-7976	264	7	al	al	PROPN
easat-7976	264	8	.	.	PROPN
easat-7976	264	9	,	,	PUNCT
easat-7976	264	10	"	"	PUNCT
easat-7976	264	11	non	non	ADJ
easat-7976	264	12	-	-	ADJ
easat-7976	264	13	invasive	invasive	ADJ
easat-7976	264	14	techniques	technique	NOUN
easat-7976	264	15	for	for	ADP
easat-7976	264	16	muscle	muscle	NOUN
easat-7976	264	17	fatigue	fatigue	NOUN
easat-7976	264	18	monitoring	monitoring	NOUN
easat-7976	264	19	:	:	PUNCT
easat-7976	264	20	a	a	DET
easat-7976	264	21	comprehensive	comprehensive	ADJ
easat-7976	264	22	survey	survey	NOUN
easat-7976	264	23	,	,	PUNCT
easat-7976	264	24	"	"	PUNCT
easat-7976	264	25	acm	acm	PROPN
easat-7976	264	26	computing	computing	NOUN
easat-7976	264	27	surveys	survey	NOUN
easat-7976	264	28	,	,	PUNCT
easat-7976	264	29	vol	vol	NOUN
easat-7976	264	30	.	.	PROPN
easat-7976	264	31	56	56	NUM
easat-7976	264	32	,	,	PUNCT
easat-7976	264	33	no	no	INTJ
easat-7976	264	34	.	.	NOUN
easat-7976	264	35	9	9	NUM
easat-7976	264	36	,	,	PUNCT
easat-7976	264	37	pp	pp	ADJ
easat-7976	264	38	.	.	PUNCT
easat-7976	265	1	1–40	1–40	NUM
easat-7976	265	2	,	,	PUNCT
easat-7976	265	3	2024	2024	NUM
easat-7976	265	4	.	.	PUNCT
easat-7976	266	1	https://doi.org/10.1145/3648679	https://doi.org/10.1145/3648679	NOUN
easat-7976	267	1	[	[	X
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easat-7976	267	3	]	]	X
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easat-7976	267	9	mcguire	mcguire	PROPN
easat-7976	267	10	,	,	PUNCT
easat-7976	267	11	and	and	CCONJ
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easat-7976	267	13	a.	a.	PROPN
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easat-7976	267	19	radialis	radialis	NOUN
easat-7976	267	20	surface	surface	NOUN
easat-7976	267	21	electromyography	electromyography	NOUN
easat-7976	267	22	electrode	electrode	NOUN
easat-7976	267	23	placement	placement	NOUN
easat-7976	267	24	for	for	ADP
easat-7976	267	25	evoked	evoked	ADJ
easat-7976	267	26	and	and	CCONJ
easat-7976	267	27	voluntary	voluntary	ADJ
easat-7976	267	28	measures	measure	NOUN
easat-7976	267	29	,	,	PUNCT
easat-7976	267	30	"	"	PUNCT
easat-7976	267	31	muscle	muscle	NOUN
easat-7976	267	32	&	&	CCONJ
easat-7976	267	33	nerve	nerve	NOUN
easat-7976	267	34	,	,	PUNCT
easat-7976	267	35	vol	vol	NOUN
easat-7976	267	36	.	.	PROPN
easat-7976	267	37	52	52	NUM
easat-7976	267	38	,	,	PUNCT
easat-7976	267	39	no	no	INTJ
easat-7976	267	40	.	.	NOUN
easat-7976	267	41	6	6	NUM
easat-7976	267	42	,	,	PUNCT
easat-7976	267	43	pp	pp	ADJ
easat-7976	267	44	.	.	PUNCT
easat-7976	268	1	818–825	818–825	NUM
easat-7976	268	2	,	,	PUNCT
easat-7976	268	3	2015	2015	NUM
easat-7976	268	4	.	.	PUNCT
easat-7976	269	1	https://doi.org/10.1002/mus.24631	https://doi.org/10.1002/mus.24631	PROPN
easat-7976	270	1	[	[	X
easat-7976	270	2	16	16	NUM
easat-7976	270	3	]	]	PUNCT
easat-7976	270	4	a.	a.	PROPN
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easat-7976	270	7	mendoza	mendoza	PROPN
easat-7976	270	8	,	,	PUNCT
easat-7976	270	9	a.	a.	NOUN
easat-7976	270	10	i.	i.	PROPN
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easat-7976	270	12	-	-	PUNCT
easat-7976	270	13	sanpablo	sanpablo	NOUN
easat-7976	270	14	,	,	PUNCT
easat-7976	270	15	r.	r.	PROPN
easat-7976	270	16	lópez	lópez	PROPN
easat-7976	270	17	-	-	PUNCT
easat-7976	270	18	gutiérrez	gutiérrez	NOUN
easat-7976	270	19	,	,	PUNCT
easat-7976	270	20	and	and	CCONJ
easat-7976	270	21	i.	i.	PROPN
easat-7976	270	22	quiñones	quiñones	PROPN
easat-7976	270	23	-	-	PUNCT
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easat-7976	270	25	,	,	PUNCT
easat-7976	270	26	"	"	PUNCT
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easat-7976	270	29	an	an	DET
easat-7976	270	30	emg	emg	NOUN
easat-7976	270	31	sensor	sensor	NOUN
easat-7976	270	32	for	for	ADP
easat-7976	270	33	internet	internet	NOUN
easat-7976	270	34	of	of	ADP
easat-7976	270	35	things	thing	NOUN
easat-7976	270	36	and	and	CCONJ
easat-7976	270	37	robotics	robotic	NOUN
easat-7976	270	38	,	,	PUNCT
easat-7976	270	39	"	"	PUNCT
easat-7976	270	40	presented	present	VERB
easat-7976	270	41	at	at	ADP
easat-7976	270	42	the	the	DET
easat-7976	270	43	2018	2018	NUM
easat-7976	270	44	15th	15th	ADJ
easat-7976	270	45	international	international	ADJ
easat-7976	270	46	conference	conference	NOUN
easat-7976	270	47	on	on	ADP
easat-7976	270	48	electrical	electrical	ADJ
easat-7976	270	49	engineering	engineering	NOUN
easat-7976	270	50	,	,	PUNCT
easat-7976	270	51	computing	compute	VERB
easat-7976	270	52	science	science	NOUN
easat-7976	270	53	and	and	CCONJ
easat-7976	270	54	automatic	automatic	ADJ
easat-7976	270	55	control	control	NOUN
easat-7976	270	56	(	(	PUNCT
easat-7976	270	57	cce	cce	PROPN
easat-7976	270	58	)	)	PUNCT
easat-7976	270	59	mexico	mexico	PROPN
easat-7976	270	60	city	city	PROPN
easat-7976	270	61	,	,	PUNCT
easat-7976	270	62	mexico	mexico	PROPN
easat-7976	270	63	,	,	PUNCT
easat-7976	270	64	2018	2018	NUM
easat-7976	270	65	.	.	PUNCT
easat-7976	271	1	[	[	X
easat-7976	271	2	17	17	NUM
easat-7976	271	3	]	]	PUNCT
easat-7976	271	4	q.	q.	PROPN
easat-7976	271	5	zhang	zhang	PROPN
easat-7976	271	6	and	and	CCONJ
easat-7976	271	7	z.	z.	PROPN
easat-7976	271	8	luo	luo	PROPN
easat-7976	271	9	,	,	PUNCT
easat-7976	271	10	"	"	PUNCT
easat-7976	271	11	wavelet	wavelet	NOUN
easat-7976	271	12	denoising	denoising	NOUN
easat-7976	271	13	of	of	ADP
easat-7976	271	14	electromyography	electromyography	NOUN
easat-7976	271	15	,	,	PUNCT
easat-7976	271	16	"	"	PUNCT
easat-7976	271	17	presented	present	VERB
easat-7976	271	18	at	at	ADP
easat-7976	271	19	the	the	DET
easat-7976	271	20	2006	2006	NUM
easat-7976	271	21	ieee	ieee	NOUN
easat-7976	271	22	international	international	ADJ
easat-7976	271	23	conference	conference	NOUN
easat-7976	271	24	on	on	ADP
easat-7976	271	25	mechatronics	mechatronic	NOUN
easat-7976	271	26	and	and	CCONJ
easat-7976	271	27	automation	automation	NOUN
easat-7976	271	28	(	(	PUNCT
easat-7976	271	29	icma	icma	NOUN
easat-7976	271	30	)	)	PUNCT
easat-7976	271	31	.	.	PUNCT
easat-7976	272	1	luoyang	luoyang	PROPN
easat-7976	272	2	,	,	PUNCT
easat-7976	272	3	china	china	PROPN
easat-7976	272	4	,	,	PUNCT
easat-7976	272	5	2006	2006	NUM
easat-7976	272	6	.	.	PUNCT
easat-7976	273	1	[	[	X
easat-7976	273	2	18	18	NUM
easat-7976	273	3	]	]	X
easat-7976	273	4	s.	s.	PROPN
easat-7976	273	5	demura	demura	PROPN
easat-7976	273	6	,	,	PUNCT
easat-7976	273	7	m.	m.	NOUN
easat-7976	273	8	nakada	nakada	PROPN
easat-7976	273	9	,	,	PUNCT
easat-7976	273	10	and	and	CCONJ
easat-7976	273	11	y.	y.	PROPN
easat-7976	273	12	nagasawa	nagasawa	PROPN
easat-7976	273	13	,	,	PUNCT
easat-7976	273	14	"	"	PUNCT
easat-7976	273	15	gender	gender	NOUN
easat-7976	273	16	difference	difference	NOUN
easat-7976	273	17	in	in	ADP
easat-7976	273	18	subjective	subjective	ADJ
easat-7976	273	19	muscle	muscle	NOUN
easat-7976	273	20	-	-	PUNCT
easat-7976	273	21	fatigue	fatigue	NOUN
easat-7976	273	22	sensation	sensation	NOUN
easat-7976	273	23	during	during	ADP
easat-7976	273	24	sustained	sustained	ADJ
easat-7976	273	25	muscle	muscle	NOUN
easat-7976	273	26	force	force	NOUN
easat-7976	273	27	exertion	exertion	NOUN
easat-7976	273	28	,	,	PUNCT
easat-7976	273	29	"	"	PUNCT
easat-7976	273	30	tohoku	tohoku	PROPN
easat-7976	273	31	journal	journal	NOUN
easat-7976	273	32	of	of	ADP
easat-7976	273	33	experimental	experimental	ADJ
easat-7976	273	34	medicine	medicine	NOUN
easat-7976	273	35	,	,	PUNCT
easat-7976	273	36	vol	vol	NOUN
easat-7976	273	37	.	.	PROPN
easat-7976	273	38	215	215	NUM
easat-7976	273	39	,	,	PUNCT
easat-7976	273	40	no	no	INTJ
easat-7976	273	41	.	.	NOUN
easat-7976	273	42	3	3	NUM
easat-7976	273	43	,	,	PUNCT
easat-7976	273	44	pp	pp	ADJ
easat-7976	273	45	.	.	PUNCT
easat-7976	274	1	287–294	287–294	NUM
easat-7976	274	2	,	,	PUNCT
easat-7976	274	3	2008	2008	NUM
easat-7976	274	4	.	.	PUNCT
easat-7976	275	1	https://doi.org/10.1620/tjem.215.287	https://doi.org/10.1620/tjem.215.287	PRON
easat-7976	275	2	https://doi.org/10.1145/3648679	https://doi.org/10.1145/3648679	NOUN
easat-7976	276	1	https://doi.org/10.1002/mus.24631	https://doi.org/10.1002/mus.24631	INTJ
easat-7976	276	2	https://doi.org/10.1620/tjem.215.287	https://doi.org/10.1620/tjem.215.287	NOUN