Skip to main content

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