Automatic classification of visual evoked responses

An automatic method performing selective averaging of visual evoked potentials depending on the state of the EEG background activity is described. The method is based on adaptive segmentation of the EEG signal and on fuzzy clustering. A simulation example, extracting two different square pulses from the background activity, is given, as well as an example averaging two types of visual evoked potentials from the background EEG signal.