Xiao-Meng Zhao

A dynamic multi-branch EEG decoding network for motor imagery classification with preliminary clinical validation

Motor imagery electroencephalography (MI-EEG) decoding remains challenging because of the low signal-to-noise ratio, non-stationarity, and inter-subject variability of EEG signals. This study proposes a dynamic multi-branch EEG decoding network (DMB-EDN) that jointly models temporal dynamics, learnable time-frequency p...