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Table 7 The misclassification rate and variance of motor imagery classification in “Dataset 2b”

From: Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network

Subjects Spatial-frequency-sequential relationships Spatial-frequency features
  ONHL(τ) LSTM-RNN(a) ONHL(τ) GRU-RNN(b) CNN(c) SVM-RBF(d) SVM-polynomial(e) SVM-linear(f)
S1 39 22.61 ±4.63 31 20.24 ±4.29 30.66 ±5.96 35.94 ±6.46 32.5 ±5.27 33.44 ±5.65
S2 36 28.15 ±5.86 27 27.24 ±5.69 36.76 ±5.42 46.43 ±6.48 47.86 ±6.86 46.79 ±7.62
S3 44 27.87 ±4.53 35 26.85 ±4.62 38.61 ±5.27 45.94 ±7.52 44.69 ±7.40 45.62 ±7.65
S4 42 8.64 ±2.13 32 7.53 ±2.20 1.87 ±1.03 3.12 ±2.58 3.75 ±2.62 4.06 ±2.18
S5 36 14.67 ±3.46 28 13.75 ±3.35 14.58 ±3.28 19.37 ±4.25 16.25 ±3.86 16.25 ±3.97
S6 32 17.92 ±4.16 30 15.49 ±4.23 12.64 ±3.60 21.87 ±5.30 22.19 ±5.14 23.12 ±5.21
S7 33 14.53 ±3.59 39 13.35 ±3.46 10.06 ±2.84 22.81 ±4.72 22.50 ±4.41 22.81 ±4.23
S8 35 7.25 ±2.15 25 6.53 ±2.03 3.16 ±1.86 10.00 ±3.68 9.69 ±3.13 10.31 ±3.24
S9 38 24.64 ±4.62 28 24.31 ±4.72 30.66 ±5.13 17.19 ±3.42 16.56 ±3.35 17.19 ±3.41
AVG - 18.48 ±3.90 - 17.25 ±3.84 19.89 ±3.83 24.74 ±4.93 24.00 ±4.67 24.40 ±4.80
p-test - a vs. f - b vs. f c vs. b d vs. b e vs. b -
p-value - p=0.08 - p <0.05 p=0.28 p <0.05 p=0.06 -
  1. The smallest value for each subject is highlighted in bold. :significant at 5% significance level for paired t-test