Abstract: Motor imagery classification is an important topic in brain–computer interface (BCI) research that enables the recognition of a subject’s intension to, e.g., implement prosthesis control.

Well, it’s done. After weeks of trawling Craigslist, an hour-long phone call with an intelligent stranger about a different machine that wasn’t going suit my needs, and a two-week delay while the ...

Abstract: Background: EEG signals are extremely complex in comparison to other biomedical signals, thus require an efficient feature selection as well as classification approach. Traditional feature ...