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Table 2 Description of feature extraction

From: The impact of feature extraction and selection for the classification of gait patterns between ACL deficient and intact knees based on different classification models

No

Number of features

Description of feature extraction

1

27

Mean values of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

2

27

STD of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

3

27

Skewness of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

4

27

Kurtosis of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

5

81

RQA (including RR, DET and ENTR) of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

6

27

FuzzyEn of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

7

27

TKE of the angle, force and moment of the ankle, hip and knee joints in the frontal, transverse and sagittal planes

8

243

Total number of features

9

38

Statistically significant features (shown in Table 3)

10

16

Optimal feature set containing: F1, F2, F10, F19, F24, F29, F30, F61, F67, F96, F149, F176, F191, F207, F217, F227 (shown in Table 3)