Table 5 Comparison of different preprocessing and feature extraction methods using the proposed BPNN on EGGMMIDB (10-fold cross validation).

From: Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm

Pre-processing Method

Feature Extraction Method

Precision

Recall

Accuracy

F-Measure

Band pass filter41

FFT37

78.9 ± 1.2

79.5 ± 1.3

80.2 ± 1.1

79.2 ± 1.1

Statistical features38

82.3 ± 1.0

82.8 ± 1.1

83.0 ± 1.2

82.5 ± 1.0

ICA23

83.5 ± 1.1

84.0 ± 1.2

84.5 ± 1.3

83.7 ± 1.1

PCA + CSP39

86.0 ± 0.9

86.5 ± 0.8

87.2 ± 0.9

86.3 ± 0.8

FBCSP44

86.2 ± 0.8

86.8 ± 0.8

87.1 ± 0.9

86.5 ± 0.8

STFT40

84.8 ± 1.0

85.3 ± 1.1

85.7 ± 1.2

85.1 ± 1.0

PCMICSP10

92.4 ± 0.5

92.7 ± 0.4

93.2 ± 0.4

92.5 ± 0.5

Wavelet analysis42

FFT37

80.5 ± 1.1

81.0 ± 1.2

81.6 ± 1.0

80.8 ± 1.1

Statistical features38

83.0 ± 1.0

83.5 ± 1.1

84.0 ± 1.1

83.2 ± 1.0

ICA23

85.0 ± 1.0

85.6 ± 1.1

86.1 ± 1.0

85.3 ± 1.0

PCA + CSP39

90.0 ± 0.7

90.5 ± 0.6

90.8 ± 0.7

90.2 ± 0.6

FBCSP44

87.3 ± 0.8

87.8 ± 0.8

88.0 ± 0.8

87.5 ± 0.8

STFT40

88.0 ± 0.8

88.5 ± 0.7

89.0 ± 0.8

88.2 ± 0.7

PCMICSP10

93.2 ± 0.4

93.5 ± 0.3

94.0 ± 0.3

93.4 ± 0.3

Adaptive Noise Cancellation (ANC)43

FFT37

78.5 ± 1.2

79.0 ± 1.3

79.5 ± 1.1

78.8 ± 1.2

Statistical features38

81.5 ± 1.1

82.0 ± 1.2

82.3 ± 1.0

81.8 ± 1.1

ICA23

84.0 ± 1.0

84.5 ± 1.1

85.0 ± 1.2

84.3 ± 1.1

PCA + CSP39

87.0 ± 0.8

87.5 ± 0.7

88.0 ± 0.9

87.2 ± 0.8

FBCSP44

87.0 ± 0.8

87.5 ± 0.8

87.9 ± 0.8

87.2 ± 0.8

STFT40

85.5 ± 0.9

86.0 ± 0.8

86.5 ± 0.8

85.8 ± 0.8

PCMICSP10

92.5 ± 0.5

92.8 ± 0.4

93.5 ± 0.4

92.9 ± 0.5

HHT9

FFT37

79.2 ± 1.1

79.6 ± 1.2

80.0 ± 1.1

79.4 ± 1.1

Statistical features38

82.0 ± 1.0

82.5 ± 1.0

83.0 ± 1.0

82.3 ± 1.0

ICA23

84.2 ± 1.0

84.8 ± 1.0

85.3 ± 1.0

84.5 ± 1.0

PCA + CSP39

88.0 ± 0.8

88.5 ± 0.7

89.0 ± 0.8

88.2 ± 0.7

FBCSP44

88.2 ± 0.7

88.6 ± 0.7

89.0 ± 0.7

88.4 ± 0.7

STFT40

86.5 ± 0.8

87.0 ± 0.8

87.5 ± 0.8

86.7 ± 0.8

PCMICSP10

93.5 ± 0.3

93.8 ± 0.3

94.3 ± 0.3

93.6 ± 0.3