Hybrid EEG-fNIRS Based BCI for Rehabilitation

Abstract

We aim at design a motor-magery based brain-computer interface(BCI) using functional near-infrared spectroscopy(fNIRS) and electroencephalography(EEG) for rehabilitation.We use the common spatial pattern(CSP) to extract features which are then classified with the support vector machine(SVM).