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 electricalactivities of human s brain, eye and muscles. Firstly preprocessing of these bio signals are made, furthermore featuresextraction 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 withthree data base. The results show the effectiveness of proposed method.

Keywords:

Biomedical signals , Fuzzy Inference system (FIS) , Classification , Human consciousness