Decoding SSVEP Responses using Time Domain Classification

In this paper, we propose a new time domain method for decoding the steady-state visual evoked potential recorded while the subject is looking at stimuli flickering with constant frequencies. Using several such stimuli, with different frequencies, a brain-computer interface can be built. We have assessed the influence of the number of electrodes on the decoding accuracy. A comparison between active wetand bristle dry electrodes were made. The dependence between accuracy and the length of the EEG interval used for decoding

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