EEG Based BCI for Upper Limb Rehabilitation in Stroke

Biomedical and Engineering approaches form a key element to neurological rehabilitation of upper limbs. Brain Computer Interface (BCI) using Motor execution and Motor Imagery are known to aid motor recovery in stroke. The purpose of this study is to demonstrate that Noninvasive Sensorimotor Rhythm (SMR) based EEG based BCI using motor execution and Motor Imagery tasks can aid in rehabilitation of upper limb movements in chronic stroke. The project aims to explore an SMR-based BCI system that can exploit the sensorimotor rhythm voluntary modulation to play a virtual game as neurofeedback using motor executory tasks and imagined hand movements by stroke patients, who suffer from upper limb disability.