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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