Table 7.
The average classification accuracy for the four datasets with four CNN architectures
EEGNet | DeepConvNet | EEGNet | AlexNet | LeNet | |
---|---|---|---|---|---|
STFT | VMD+STFT | VMD+STFT | VMD+STFT | VMD+STFT | |
Dataset I | 57.75 | 80.23 | 91.37 | 59.27 | 68.44 |
Dataset II | 67.46 | 74.42 | 94.41 | 61.49 | 75.07 |
Dataset III | 72.64 | 88.52 | 85.67 | 71.83 | 70.72 |
Dataset IV | 68.45 | 85.06 | 90.21 | 69.14 | 77.02 |