BioMedical Engineering OnLine

Table 1 Tasks, sensors and features that demonstrate significant difference between the groups of young and elderly after the application of the Mann–Whitney test

From: A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm

Task 1
Features	Sensors
Features	G1, p-value	G2, p-value	A1, p-value	A2, p-value	M1, p-value	M2, p-value
MAV
MAVFD	0.019	< 0.001	< 0.001	< 0.001
MAVSD	0.038	0.010	0.002	0.001
RMS
Peak
ZC	< 0.001	< 0.001	0.001	0.001
FMean	< 0.001	< 0.001	0.003	0.005
FPeak
F50	0.002	< 0.001	0.029	0.012
F80	0.001	< 0.001	0.002	0.004
Power3.5–7.5
ApEn	0.003	0.002	< 0.001	0.027
FuzzyEn	< 0.001	< 0.001	< 0.001	0.004
VAR
RANGE
INTQ		0.036
SKEWNESS	0.007
KURTOSIS	0.016

Task 2
Features	Sensors
Features	G1, p-value	G2, p-value	A1, p-value	A2, p-value	M1, p-value	M2, p-value
MAV	< 0.001	0.003	< 0.001	< 0.001	0.002	0.007
MAVFD	< 0.001	< 0.001	< 0.001	< 0.001	0.004	0.010
MAVSD	< 0.001	< 0.001	< 0.001	< 0.001	0.004	0.013
RMS	< 0.001	0.001	< 0.001	< 0.001	0.002	0.005
Peak	< 0.001	< 0.001	< 0.001	< 0.001	< 0.001	< 0.001
ZC				0.035
FMean					0.005
FPeak					0.006
F50					0.013	0.018
F80					0.021
Power3.5–7.5	< 0.001	< 0.001	< 0.001	< 0.001	0.001	0.007
ApEn					0.040
FuzzyEn					0.010
VAR	< 0.001	0.001	< 0.001	< 0.001	< 0.001	0.004
RANGE	< 0.001	< 0.001	< 0.001	< 0.001	< 0.001	0.003
INTQ	0.003	0.029	< 0.001	0.001	0.005	0.014
SKEWNESS	0.001	0.009		0.04		0.017
KURTOSIS	0.002	0.022

Task 3
	Sensors
	G1, p-value	G2, p-value	A1, p-value	A2, p-value	M1, p-value	M2, p-value
MAV
MAVFD
MAVSD
RMS
Peak	0.034	0.014		0.017
ZC			0.010	0.009
FMean			0.012
FPeak
F50					0.018	0.045
F80			0.009	0.009
Power3.5–7.5			0.024	0.017
ApEn			0.012	0.006
FuzzyEn
VAR
RANGE		0.022
INTQ
SKEWNESS	0.031	0.027	0.023	< 0.001		0.002
KURTOSIS	0.037			0.007

Back to article page

ISSN: 1475-925X

Contact us

Submission enquiries: journalsubmissions@springernature.com