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Table 3 Multiple regression analysis of the kinematic variables and confounding variables against the two dependent variables (FMA-UE and ARAT)

From: End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke

Independent variables

Unstandardized B

Partial unique contribution

p-value of the variable

Adjusted R2

Model p-value

FMA-UE as dependent variable

 Mean velocity

53.26

0.11

0.008

0.16

0.002

 Number of velocity peaks

−1.40

0.09

0.019

ARAT as dependent variable (Model 1)

 Movement time

−3.56

–

–

0.13

0.002

ARAT as dependent variable (Model 2)

 Number of velocity peaks

−1.67

–

–

0.10

0.007

  1. Abbreviations: FMA-UE Fugl-Meyer Assessment – Upper Extremity, ARAT Action Research Arm Test, B Regression coefficient, R2 Explained Variance
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Journal of NeuroEngineering and Rehabilitation

ISSN: 1743-0003

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