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Table 2 Correlation matrix

From: Kinematic variability, fractal dynamics and local dynamic stability of treadmill walking

Overground Walking

Treadmill Walking

Correlation coefficients:

Correlation coefficients:

 

SD ML

SD V

SD AP

λs* ML

λs* V

λs* AP

λL* ML

λL* V

λL* AP

 

SD ML

SD V

SD AP

λs* ML

λs* V

λs* AP

λL* ML

λL* V

λL* AP

SD ML

1.00

        

SD ML

1.00

        

SD V

0.95

1.00

       

SD V

0.92

1.00

       

SD AP

0.14

0.24

1.00

      

SD AP

0.59

0.62

1.00

      

λ s * ML

0.05

-0.04

-0.02

1.00

     

λ s * ML

0.26

0.20

-0.26

1.00

     

λ s * V

-0.20

-0.17

-0.04

0.47

1.00

    

λ s * V

-0.17

-0.08

-0.50

0.74

1.00

    

λ s * AP

-0.27

-0.24

-0.37

0.57

0.45

1.00

   

λ s * AP

-0.01

0.08

-0.32

0.77

0.75

1.00

   

λ L * ML

0.16

0.17

0.07

-0.13

0.06

-0.27

1.00

  

λ L * ML

-0.51

-0.50

-0.56

0.34

0.41

0.30

1.00

  

λ L * V

-0.31

-0.37

0.10

-0.23

-0.24

-0.28

0.41

1.00

 

λ L * V

-0.76

-0.81

-0.47

-0.36

-0.14

-0.30

0.53

1.00

 

λ L * AP

-0.47

-0.52

0.17

-0.13

-0.01

-0.36

0.55

0.75

1.00

λ L * AP

-0.77

-0.82

-0.57

-0.37

-0.18

-0.21

0.45

0.86

1.00

α (DFA)

-0.45

-0.35

-0.39

0.09

0.10

0.51

-0.09

0.08

-0.09

α (DFA)

-0.56

-0.56

-0.36

0.12

0.25

0.10

0.28

0.37

0.42

  1. Pearson's r correlation coefficients between the variables. SD = Mean Standard Deviation (MeanSD). λS* = maximal Lyapunov exponent, short term dynamic stability. λL* = maximal Lyapunov exponent, long term dynamic stability. α = scaling exponent (Detrended Fluctuation Analysis), fractal dynamics. ML, V and AP stand for respectively Medio-Lateral, Vertical and Antero-posterior. Significant correlation are bold printed (p < 0.05).