Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke?
EEG-BCI has been used to detect movement intention in severely affected stroke patients during assisted therapy, but current EEG-BCI systems are not practical for routine use. Here, we investigated the possibility of using EMG from the forearm muscles to detect movement intention using data from 30 severely affected chronic stroke patients with no residual movements. Overall, we found that a simple EMG detector could detect movement intention from EMG in 22/30 patients. This suggests that a large proportion of severely affected stroke patients have detectable residual EMG, which yields a direct and practical way to trigger robot-assisted training than EEG-BCI.