Abstract
We describe a method to extract single trial visual evoked potential (VEP) buried in ongoing electroencephalogram (EEG) activity. The common method for separating VEP from EEG is to use signal averaging. But we use digital filters to extract VEP assuming that VEP spectra are in the gamma band. As an application, a fuzzy ARTMAP (FA) neural network classifier with voting strategy is used with this extracted VEP to discriminate alcoholics from normal subjects. The VEP is extracted from subjects while seeing visuals of the Snodgrass and Vanderwart (1980) picture set. The high FA classification of 96.5% shows the validity of the proposed method to successfully remove EEG contamination.
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