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Table 3 Three-class accuracy of evaluated CNN training strategies using the CWT-extracted vectors for the considered strategies: without spatial dropping (CWT), spatial dropping by removing all sensorimotor electrodes out (CWT*), spatial dropping by excluding nonrelevant electrodes (CWT**)

From: CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification

Subjects

[43]

[44]

CWT

\(\kappa \)

CWT*

\(\kappa \)

CWT**

\(\kappa \)

A03T

86.1

76.7

83.6 ± 6.6

0.75

84.6 ± 8.3

0.76

82.0 ± 5.6

0.73

A07T

83.6

82.8

73.5 ± 9.5

0.59

73.9 ± 7.5

0.60

75.0 ± 7.4

0.63

A08T

63.1

78.2

73.0 ± 9.0

0.59

76.0 ± 9.5

0.64

75.1 ± 10.4

0.63

A01T

80.8

84.1

73.0 ± 6.6

0.59

73.4 ± 6.1

0.60

75.7 ± 5.5

0.63

A09T

54.3

75.2

72.2 ± 5.6

0.58

69.4 ± 5.7

0.58

73.0 ± 7.6

0.60

A04T

54.0

62.4

69.7 ± 5.4

0.47

69.7 ± 6.9

0.47

69.9 ± 5.6

0.47

A06T

51.3

51.8

68.3 ± 6.7

0.49

68.8 ± 8.5

0.52

68.4 ± 6.8

0.52

A02T

71.2

57.7

65.0 ± 5.5

0.44

58.9 ± 6.5

0.46

62.4 ± 8.8

0.46

A05T

52.2

48.1

59.1 ± 4.2

0.37

58.5 ± 5.6

0.36

57.5 ± 6.0

0.34

Average

66.2

68.5

70.8 ± 6.5

0.54

70.3 ± 7.0

0.55

71.2 ± 7.0

0.56