Spatial Filtering Optimisation in Motor Imagery Eeg-based Bci
نویسندگان
چکیده
Common spatial pattern (CSP) is becoming a standard way to combine linearly multi-channel EEG data in order to increase discrimination between two motor imagery tasks. We demonstrate in this article that the use of robust estimates allows improving the quality of CSP decomposition and CSP-based BCI. Furthermore, a scheme for electrode subset selection is proposed. It is shown that CSP with such subset of electrodes provides better results with the ones obtained with CSP over large multi-channel recordings.
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