Table 10 Classification results using KNN classifier (UNM dataset).

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

 

Classification accuracy (mean ± st)

Off-PD versus HC

On-PD versus HC

Off-PD versus On-PD

Open eyes

Close eyes

Open eyes

Close eyes

Open eyes

Close eyes

#feat. vectors

810 PD + 810 HC

810 PD + 783 HC

840 PD + 810 HC

840 PD + 783 HC

1650

1650

DWT + LogEn

98.64 ± 0.81

99.06 ± 0.61

98.91 ± 1.21

98.71 ± 1.31

98.73 ± 0.92

98.36 ± 1.18

DWT + ThEn

99.14 ± 0.52

99.43 ± 0.86

99.52 ± 0.56

99.20 ± 0.65

99.27 ± 0.75

99.21 ± 0.70

DWT + SuEn

97.53 ± 1.52

96.17 ± 0.96

96.73 ± 1.52

95.75 ± 2.00

97.09 ± 1.14

94.91 ± 1.38

DWT + TShEn

99.14 ± 0.93

99.18 ± 0.52

99.21 ± 0.64

98.89 ± 0.57

99.27 ± 0.69

98.73 ± 0.83