DISCRIMINATION AMONG VISUAL-STIMULI BY CLASSIFICATION OF THEIR SINGLE EVOKED-POTENTIALS

A correlation classifier and a maximum likelihood quadratic classifier are used to classify single evoked potentials from four different, visual stimuli. Forward sequential feature selection was employed with the quadratic classifier to reduce data dimensionality. The features selected by this method were the signal amplitudes at latencies at which polarity reversals were present in the averages. Examination of detected peaks from the single v.e.p.s suggested that the polarity reversals were also present in the single v.e.p.s. The quadratic classifier gave better than 90% recognition for the case of four classes and three classes. © 1979 IFMBE.