Decoding Multi-Class Motor Imagery from Unilateral Limbs Using EEG Signals

Decoding Multi-Class Motor Imagery from Unilateral Limbs Using EEG Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in applications like stroke rehabilitation. Current research predominantly concentrates on the bilateral limbs paradigm and decoding, but the use scenarios for stroke rehabilitation are typically for unilateral upper limbs. There is …

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