浩然 郭

Chinese Imagined Speech EEG Classification Method Based on Topological and Frequency-Band Priors

The results demonstrate that incorporating structural and fre-quency-domain priors is beneficial for robust Chinese imagined speech EEG classification, and the proposed TFP-CTNet hybrid model consistently outperforms several competitive baselines in terms of accuracy and F1-score.