2012年12月1日
SSVEP frequency detection methods considering background EEG
6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
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Detection of the frequency of steady-state visual evoked potentials (SSVEP) is addressed. We propose to use the canonical correlation analysis (CCA) with linear discriminant analysis (LDA), as well as some modifications of the so-called rhythmic component extraction (RCE) that can consider the background EEG spectra Classification accuracy and the information transfer rate (ITR) are examined in classification of six commands. © 2012 IEEE.
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