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Independent Component Ensemble of EEG for Brain–Computer Interface
2014
IEEE transactions on neural systems and rehabilitation engineering
Recently, successful applications of independent component analysis (ICA) to electroencephalographic (EEG) signals have yielded tremendous insights into brain processes that underlie human cognition. Many studies have further established the feasibility of using independent processes to elucidate human cognitive states. However, various technical problems arise in the building of an online brain-computer interface (BCI). These include the lack of an automatic procedure for selecting independent
doi:10.1109/tnsre.2013.2293139
pmid:24608683
fatcat:6nk3gprzpjhp7cula62ajrppv4