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Table 7 Independent Welch t-test results for features from cluster 1. Cluster 1 was identified as the group of features with the highest impact on classification performance of vestibular gait based on kinematic data from an IMU mounted on the left arm during walking with eyes closed

From: Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection

Feature

Age-matched controls

Participants with vestibular deficits

t-value

p-value

Effect size r

Range of angular velocity (\(\omega _{total}\))

M = 3.19

SD = 0.78

M = 2.36

SD = 1.12

t(78.3) = 9.04

< 0.05

0.42

Maximum angular velocity (\(\omega _{total}\))

M = 3.30

SD = 0.80

M = 2.40

SD = 1.12

t(80.1) = 4.29

< 0.05

0.43

Minimum angular velocity (\(\omega _{total}\))

M = 0.09

SD = 0.06

M = 0.04

SD = 0.03

t(60.0) = 4.99

< 0.05

0.43

Mean angular velocity (\(\omega _{total}\))

M = 1.27

SD = 0.36

M = 0.67

SD = 0.26

t(79.7) = 9.04

< 0.05

0.71

RMS angular velocity (\(\omega _{total}\))

M = 1.43

SD = 0.39

M = 0.78

SD = 0.28

t(80.1) = 9.11

< 0.05

0.71

Range of pitch angular displacement (\(\theta _{y}\))

M = 0.49

SD = 0.21

M = 0.26

SD = 0.11

t(66.0) = 6.71

< 0.05

0.64

Range of roll angular displacement (\(\theta _{x}\))

M = 0.13

SD = 0.06

M = 0.13

SD = 0.06

t(87.8) = -0.17

0.79

-

Mean of pitch angular displacement (\(\theta _{y}\))

M = 0.11

SD = 0.05

M = 0.05

SD = 0.03

t(64.0) = 7.65

< 0.05

0.69

Mean of roll angular displacement(\(\theta _{x}\))

M = 0.02

SD = 0.05

M = 0.02

SD = 0.03

t(87.5) = 0.85

0.39

-