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Nov 01, 2006

Combined optimization of spatial and temporal filters for improving BCI

Combined optimization of spatial and temporal filters for improving brain-computer interfacing.

IEEE Trans Biomed Eng. 2006 Nov;53(11):2274-81

Authors: Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Müller KR

Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output device by bypassing conventional motor output pathways of nerves and muscles. Therefore they could provide a new communication and control option for paralyzed patients. Modern BCI technology is essentially based on techniques for the classification of single-trial brain signals. Here we present a novel technique that allows the simultaneous optimization of a spatial and a spectral filter enhancing discriminability rates of multichannel EEG single-trials. The evaluation of 60 experiments involving 22 different subjects demonstrates the significant superiority of the proposed algorithm over to its classical counterpart: the median classification error rate was decreased by 11%. Apart from the enhanced classification, the spatial and/or the spectral filter that are determined by the algorithm can also be used for further analysis of the data, e.g., for source localization of the respective brain rhythms.

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