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Optimal spatial filtering of single trial EEG during imagined hand movement

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3 Author(s)
H. Ramoser ; Dept. of Medical Inf., Graz Univ. of Technol., Austria ; J. Muller-Gerking ; G. Pfurtscheller

The development of an electroencephalograph (EEG)-based brain-computer interface (BCI) requires rapid and reliable discrimination of EEG patterns, e.g., associated with imaginary movement. One-sided hand movement imagination results in EEG changes located at contra- and ipsilateral central areas. The authors demonstrate that spatial filters for multichannel EEG effectively extract discriminatory information from two populations of single-trial EEG, recorded during left- and right-hand movement imagery. The best classification results for three subjects are 90.8%, 92.7%, and 99.7%. The spatial filters are estimated from a set of data by the method of common spatial patterns and reflect the specific activation of cortical areas. The method performs a weighting of the electrodes according to their importance for the classification task. The high recognition rates and computational simplicity make it a promising method for an EEG-based brain-computer interface

Published in:

IEEE Transactions on Rehabilitation Engineering  (Volume:8 ,  Issue: 4 )