Comparison of EEG spatial filters for movement related cortical potential detection

Movement related cortical potential (MRCP), a slow cortical potential from scalp electroencephalogram (EEG), has been the used in real-time brain-computer-interface (BCI) systems designed for neurorehabilitation applications. Detecting MPCPs in real time with high accuracy is essential for a reliable BCI system in these applications. In this study, we investigated the effect of four spatial filters on MRCP detection during executed and imagined dorsiflexion of healthy participants. Our analysis indicated that, in both executed and imagined movement datasets, none of the methods investigated significantly improved trial-to-trial consistency of MRCP. However, all four spatial filters significantly enhanced signal to noise ratio (SNR) of the MRCPs, which is critical to achieve a high true-positive rate in MRCP detection.