SSVEP frequency detection methods considering background EEG

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.