Table 8 Classification results of on-PD versus HC using KNN classifier.

From: Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques

FE methods

Accuracy (%)

Sensitivity (%)

Specificity (%)

F-score (%)

Mean ± st

Mean ± st

Mean ± st

Mean ± st

DWT + Eng

91.37 ± 3.40

90.69 ± 4.74

92.60 ± 4.97

91.32 ± 3.48

DWT + LBP

90.87 ± 3.29

89.89 ± 3.97

92.18 ± 4.68

90.79 ± 3.45

DWT + LogEn

92.22 ± 2.43

93.34 ± 3.92

91.60 ± 3.98

91.97 ± 2.56

DWT + ShEn

76.77 ± 4.56

75.71 ± 5.78

78.64 ± 6.20

76.79 ± 4.84

DWT + ThEn

93.71 ± 3.74

94.00 ± 3.63

93.14 ± 3.89

93.94 ± 3.34

DWT + SuEn

94.20 ± 2.23

94.58 ± 4.67

93.79 ± 4.24

93.95 ± 3.15

DWT + NoEn

82.41 ± 4.05

79.91 ± 4.68

85.75 ± 5.46

82.79 ± 4.09

DWT + TShEn

94.21 ± 2.71

93.33 ± 2.11

95.01 ± 2.00

94.40 ± 1.63

  1. Significant values are in [bold].