RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features
Table 5
Subject-dependent classification results on the BCICIV2b dataset. The best results are highlighted in bold.
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Subject-dependent classification results on the BCICIV2b dataset. The best results are highlighted in bold.