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Table 5 Results for the clinically-derived and Kinect-derived multiple regression models

From: Instrumenting gait assessment using the Kinect in people living with stroke: reliability and association with balance tests

Functional assessment Clinical Kinect
R 2 Adj R 2 AIC R 2 Adj R 2 AIC
Overall physical function       
Timed up and go 0.89 0.88** 81 0.95 0.94** 63
Static balance       
Static double leg eyes closed balance 0.41 0.37* −8 0.47 0.36* −5
Static weight-bearing asymmetry 0.49 0.44** 102 0.50 0.38* 108
Dynamic balance       
Functional reach 0.43 0.39* 109 0.65 0.58** 100
Step test 0.61 0.58** 70 0.83 0.79** 52
Medial-lateral weight shifting ability 0.48 0.44** 60 0.75 0.69** 46
  1. Clinically-derived model included 2 input variables: 10MWT time; total number of steps. Kinect-derived model included 5 input variables: Mean velocity; Foot swing velocity asymmetry; Peak – Mean velocity difference; Step length asymmetry; Affected foot swing velocity.
  2. *p-values <0.01; **p-values <0.001.
  3. R2, Ezekiel equation adjusted R2 and the Akaike Information Criterion (AIC) score are provided for comparison of model strengths.