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. 2016 Jan 28;10(3):225–234. doi: 10.1007/s11571-016-9375-3

Table 5.

Average classification accuracy ± SD across different EEG frequency bands (features ranked using ANOVA)

Classifier Group No. of features EEG frequency band (%)
Delta Theta Alpha Beta Gamma ALL
FKNN
m = 1.12, k = 5
LPD 5 36.19 ± 3.46 42.76 ± 2.88 48.59 ± 1.39 50.83 ± 2.63 51.65 ± 1.39 54.28 ± 1.60
RPD 7 44.82 ± 2.77 54.29 ± 1.62 55.52 ± 2.97 60.35 ± 1.68 60.35 ± 2.00 63.19 ± 1.57
HC 5 55.42 ± 1.75 58.39 ± 2.33 60.54 ± 1.24 64.28 ± 2.82 65.24 ± 1.75 71.42 ± 2.58
RBF-SVM LPD 4 40.49 ± 1.65 50.39 ± 3.05 52.30 ± 2.61 54.85 ± 1.95 55.20 ± 1.05 58.28 ± 3.23
RPD 6 52.29 ± 1.83 55.49 ± 2.91 64.99 ± 1.53 61.63 ± 2.28 61.28 ± 1.99 70.86 ± 1.82
HC 3 60.49 ± 2.75 66.29 ± 1.73 67.38 ± 2.81 72.38 ± 1.73 74.84 ± 2.83 83.39 ± 2.04