Table 8 Comparison of decoding accuracy between CTNet, HTCV, and st-CViT models on the BCI IV-2b dataset.

From: CTNet: a convolutional transformer network for EEG-based motor imagery classification

Models / Subjects

B01

B02

B03

B04

B05

B06

B07

B08

B09

Average ± Std

HTCV55

68

60

54

85

75

72

68

78

79

71 ± 9

st-CViT56

77.36

59.71

58.61

83.51

76.89

80.42

75.42

78.82

81.81

74.73 ± 8.65

CTNet (Proposed)

76.25

71.03

66.39

81.76

83.11

77.22

79.17

73.56

77.92

76.27 ± 5.26

  1. The bold font highlights the best result among the different methods.