浩然 郭

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

EEG-based imagined speech classification is an important topic in brain–computer interface research. However, Chinese imagined speech EEG sig-nals are typically characterized by low signal-to-noise ratio, strong non-stationarity, and subtle inter-class differences, which make stable modeling challenging. Existing con...