Similarity classification for bio-signals using fuzzy table look-up by distance and eigenvector

In this paper, two kinds of features, the distance and the angle difference of eigenvectors between two signals, were selected to input a fuzzy similarity inference system. Twelve visual evoked potential (VEP) signals were experimented on to test the fuzzy classification of similarity, and they were compared to each other in similarity. The similarity was taken by the regular section, so the the partial similarity analysis was available, and the total degree of similarity was calculated by averaging to similarity of each section.