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Table 1 Performed bi-class accuracy within the MI segment using the whole electrode montage (\(C{=}22\))

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

Subject

\(\mu \)

\(\beta \)

\(\mu \cup \beta \)

\(\mu \cup 3\beta \)

PSD

    

A08T

97.1 ± 3.5

84.9 ± 6.9

93.3 ± 3.9

96.8 ± 3.9

A09T

92.1 ± 4.8

89.0 ± 6.1

96.5 ± 4.3

96.6 ± 4.1

A03T

91.1 ± 5.6

77.5 ± 6.4

91.2 ± 6.5

91.3 ± 4.2

A06T

80.0 ± 6.9

81.6 ± 5.5

82.5 ± 6.1

86.7 ± 5.8

A07T

83.8 ± 8.7

78.9 ± 4.3

82.0 ± 4.9

85.1 ± 8.6

A05T

76.2 ± 5.2

79.0 ± 6.9

80.8 ± 6.6

84.0 ± 4.5

A04T

84.7 ±  6.2

79.3 ± 7.6

80.7 ± 7.5

83.7 ± 5.4

A01T

82.6 ± 3.4

80.5 ± 5.4

82.6 ± 5.6

83.5 ± 7.0

A02T

80.4 ± 6.8

77.8 ± 6.2

81.1 ± 5.3

82.5 ± 6.4

Average \(h_u\)

200

350

350

300

Average \(a_c\)

85.3 ± 5.7

80.9 ± 6.1

85.6 ± 5.6

87.8 ± 5.5

CWT

A03T

96.4 ± 3.6

95.0 ± 4.6

95.0 ± 4.6

94.2 ± 2.9

A08T

96.3 ± 4.9

95.4 ± 5.1

94.0 ± 4.6

94.0 ± 5.6

A09T

94.0 ± 5.4

94.8 ± 5.6

94.8 ± 4.2

92.3 ± 5.9

A07T

85.7 ± 7.9

83.4 ± 6.8

86.4 ± 6.7

87.4 ±5.4

A06T

83.9 ± 5.6

84.1 ± 5.1

86.7 ± 7.2

86.7 ± 7.2

A04T

86.9 ± 7.7

84.6 ± 8.4

85.4 ± 7.3

85.3 ± 7.2

A01T

83.2 ± 6.7

82.5 ± 5.1

83.4 ± 5.5

82.5 ± 3.9

A05T

79.8 ± 6.3

76.8 ± 9.0

79.1 ± 4.8

82.2 ± 4.9

A02T

81.8 ± 7.2

84.0 ± 8.2

83.8 ± 6.5

81.7 ± 7.2

Average \(h_u\)

350

400

250

250

Average \(a_c\)

87.5 ± 6.1

86.7 ± 6.4

87.6 ± 5.7

87.4 ± 5.6

  1. The best figure achieved by each individual is marked in italics