Classification of human consciousness using biomedical signals and fuzzy logic

This paper addresses human consciousness classification using three biomedical signals, EEG, EOG, EMG and fuzzy inference system. These signals show electrical activities of brain, eye and muscles. Firstly preprocessing of these bio signals are made, furthermore features extraction from these signals is done and then fuzzy interface system is used for human consciousness classification. To show the effectiveness of proposed method we test our algorithm with three data base. The results show the effectiveness of proposed method.