Lite-EEGTrans: An Interpretable Real-Time Motor Imagery EEG Denoising and Classification for Embedded Robotic BCI
Real-time brain-computer interface (BCI) systems for motor imagery face persistent challenges due to EEG artifacts, limited generalization across datasets, and strict latency constraints in embedded robotic applications. This work presents Lite-EEGTrans, a lightweight and interpretable EEG denoising and classification...