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Table 3 Canonical Correlation Analysis (CCA)

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

Overground Walking

Treadmill Walking

Standardized weights

Loadings

Standardized weights

Loadings

Set #1

1

2

3

Set #1

1

2

3

Set #1

1

2

3

Set #1

1

2

3

SD ML

-0.06

2.76

1.70

SD ML

-0.95

0.30

0.07

SD ML

-1.30

2.29

0.04

SD ML

-0.94

-0.10

0.33

SD V

-0.98

-2.72

-1.62

SD V

-0.98

0.09

-0.18

SD V

0.63

-2.39

1.07

SD V

-0.80

-0.46

0.38

SD AP

0.20

0.79

-0.70

SD AP

-0.04

0.52

-0.85

SD AP

-0.38

-0.31

-1.18

SD AP

-0.76

-0.42

-0.49

Set #2

1

2

3

Set #2

1

2

3

Set #2

1

2

3

Set #2

1

2

3

λ s * ML

-0.26

1.02

0.65

λ s * ML

0.04

0.34

0.65

λ s * ML

-0.78

1.77

0.42

λ s * ML

-0.13

0.27

0.85

λ s * V

0.12

-0.07

-0.68

λ s * V

0.19

-0.16

-0.14

λ s * V

0.79

-0.39

0.63

λ s * V

0.39

-0.08

0.81

λ s * AP

0.52

-1.04

0.66

λ s * AP

0.20

-0.53

0.69

λ s * AP

0.25

-0.79

-0.23

λ s * AP

0.20

-0.15

0.74

λ L * ML

-0.73

-0.22

0.11

λ L * ML

-0.18

0.05

-0.19

λ L * ML

0.20

-0.52

0.06

λ L * ML

0.59

0.24

0.17

λ L * V

-0.05

0.34

0.28

λ L * V

0.45

0.31

-0.01

λ L * V

-0.01

0.39

-0.99

λ L * V

0.69

0.42

-0.55

λ L * AP

1.23

-0.02

-0.21

λ L * AP

0.63

0.35

-0.25

λ L * AP

0.57

0.77

0.67

λ L * AP

0.75

0.45

-0.38

Can. correlations

Redundancy

Can. correlations

Redundancy

 

0.89

0.73

0.28

Set #1

0.50

0.07

0.02

 

0.94

0.79

0.62

Set #1

0.62

0.08

0.06

p

0.01

0.30

0.89

Set #2

0.09

0.06

0.01

p

0.00

0.03

0.15

Set #2

0.24

0.06

0.15

Standardized weights

Loadings

  

Standardized weights

Loadings

  
 

1

   

1

   

1

   

1

  

α (DFA)

1.00

  

α (DFA)

1.00

  

α (DFA)

1.00

  

α (DFA)

1.00

  

Set #2

1

  

Set #2

1

  

Set #2

1

  

Set #2

1

  

λ s * ML

-0.40

  

λ s * ML

0.15

  

λ s * ML

0.64

  

λ s * ML

0.21

  

λ s * V

-0.10

  

λ s * V

0.16

  

λ s * V

0.65

  

λ s * V

0.43

  

λ s * AP

1.20

  

λ s * AP

0.84

  

λ s * AP

-0.39

  

λ s * AP

0.18

  

λ L * ML

0.01

  

λ L * ML

-0.14

  

λ L * ML

-0.46

  

λ L * ML

0.49

  

λ L * V

0.42

  

λ L * V

0.13

  

λ L * V

0.22

  

λ L * V

0.65

  

λ L * AP

-0.09

  

λ L * AP

-0.15

  

λ L * AP

1.01

  

λ L * AP

0.73

  

Can. correlations

Redundancy

Can. correlations

Redundancy

 

0.61

  

α (DFA)

0.38

   

0.58

  

α (DFA)

0.34

  

p

0.32

  

Set #2

0.05

  

p

0.42

  

Set #2

0.08

  

Standardized weights

Loadings

  

Standardized weights

Loadings

  
 

1

   

1

   

1

   

1

  

α (DFA)

1.00

  

α (DFA)

1.00

  

α (DFA)

1.00

  

α (DFA)

1.00

  

Set #1

1

  

Set #1

1

  

Set #1

1

  

Set #1

1

  

SD ML

-2.32

  

SD ML

-0.67

  

SD ML

-0.51

  

SD ML

-0.98

  

SD V

1.85

  

SD V

-0.52

  

SD V

-0.50

  

SD V

-0.98

  

SD AP

-0.70

  

SD AP

-0.58

  

SD AP

-0.02

  

SD AP

-0.63

  

Can. correlations

Redundancy

Can. correlations

Redundancy

 

0.67

  

α (DFA)

0.45

   

0.58

  

α (DFA)

0.33

  

p

0.02

  

Set #1

0.16

  

p

0.09

  

Set #1

0.26

  
  1. Canonical correlation analysis between 6 sets of variables. SD = Mean Standard Deviation. λS* = maximal Lyapunov exponent, short term dynamic stability. λ:* = 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.