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Table 6 The misclassification rate and variance of motor imagery classification in “Dataset 2a”

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-polymonial(e) SVM-linear(f)
S1 37 16.41 ±2.92 30 15.18 ±2.86 20.86 ±3.19 18.06 ±2.88 18.40 ±2.94 17.71 ±3.03
S2 35 34.13 ±5.63 29 34.68 ±5.56 48.18 ±6.87 43.40 ±6.69 46.53 ±6.55 46.18 ±6.36
S3 41 21.19 ±3.42 33 16.46 ±3.55 17.59 ±3.48 15.97 ±3.24 15.28 ±3.35 17.71 ±3.36
S4 40 31.67 ±5.15 31 32.33 ±5.60 44.12 ±7.37 39.24 ±5.64 37.15 ±5.48 42.71 ±7.19
S5 34 36.14 ±5.72 27 36.00 ±5.65 32.53 ±5.28 57.99 ±9.75 40.62 ±6.24 38.54 ±5.82
S6 36 33.11 ±5.15 26 29.13 ±5.36 49.30 ±8.68 46.87 ±8.98 47.22 ±8.52 47.57 ±8.49
S7 33 23.52 ±3.40 24 15.04 ±2.86 16.63 ±2.72 13.54 ±3.64 30.21 ±3.57 12.16 ±2.40
S8 36 23.60 ±3.63 28 28.05 ±3.75 13.61 ±3.86 29.51 ±4.35 28.13 ±4.63 31.94 ±5.72
S9 39 26.99 ±4.14 26 31.10 ±4.26 15.71 ±3.85 26.39 ±4.50 29.17 ±5.21 34.03 ±5.43
AVG - 27.42 ±4.35 - 26.44 ±4.38 28.73 ±5.03 32.33 ±5.52 32.52 ±5.17 32.06 ±5.31
p-test - a vs. f - b vs. f c vs. b d vs. b e vs. b -
p-value - p=0.13 - p <0.05 p=0.59 p=0.08 p <0.05 -
  1. The smallest value for each subject is highlighted in bold. :significant at 5% significance level for paired t-test