| This project aims at developing development
of a Brain-Computer Interface (BCI) that can predict intended
hand movements in both able-bodied and stroke subjects using
high-density electroencephalographic (EEG) recordings. Specifically,
the BCI is designed to assist a stroke subject in opening
and closing the hand - motions required for reach, grasp,
and retrieval. A proof-of-concept will utilize the real-time,
BCI-based prediction as a control signal for a Functional
Electrical Stimulator (FES) placed on the paretic forearm
in order to facilitate such motions.
Figure. Subject seated with EEG in place to train the BCI
program for detection of intent.
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