Stroke Rehabilitation Method and System Using a Brain-Computer Interface (BCI)

摘要

A Brain-Computer Interface (BCI) based rehabilitation system and method is described in which an auditory or visual stimulus is provided to a user instructing them to imagine performing a physical action with a body part such as a hand during a trial period. A BCI processes the electroencephalography (EEG) signals to perform feature extraction and then feature translation (classification) to determine if the user intended to perform the action. If the intension was detected the body part is incrementally moved to provide proprioceptive feedback to the user. The feedback process is repeated at a Feedback Update Interval (FUI) of 100 ms or less. Preferably a reaction time test is used to determine the optimal FUI for an individual where shorter FUIs used for shorter reaction times. In one embodiment, if the user has slow reaction times, the FUI is initially between 100 ms and 1000 ms and gradually decreased over a series of sessions until the FUI is less than 100 ms.