Description
A promising new concept for post-stroke motor rehabilitation is using EEG-based brain-computer interface (BCI) systems, e.g., providing patients with EEG-based feedback on their decoded movement intent. Here, we explore the possibility of extending BCI-based rehabilitation paradigms from decoding movement intent to decoding movement quality. Toward this goal, we study whether the quality of hand opening and closing movements in stroke patients with arm and hand spasticity can be decoded from their EEG.Period | 7 Jun 2023 |
---|---|
Event title | 10th International BCI Meeting |
Event type | Conference |
Location | Brussels, BelgiumShow on map |
Degree of Recognition | International |
Documents & Links
Related content
-
Publications
-
Predicting high-quality movements in post-stroke motor rehabilitation from EEG
Publications: Contribution to conference › Other contribution to conference › Peer Reviewed