SCHIZOPHRENIA DETECTION USING EEG SIGNAL PROCESSING TO SHOW THE NONLINEAR STRUCTURE OF THE BRAIN ELECTRICAL ACTIVITY

Abstract

The human brain is a very important organ in the human body and there are a lot of disorders associated with it. Electroencephalography (EEG) which is a measurement of potentials that reflect the electrical activity of the human brain have been found to be very useful in detecting brain disorder. Schizophrenia is an abnormal brain disorder that disrupts the brain's ability to perceive and interpret reality to think and to feel. It is basically the condition when a person starts having difficulties in interpreting reality. They confuse their perceived thoughts with the actual happenings. This work aimed at demonstrating EEG signal processing to show the nonlinear structure of the brain electrical activity. In order to do this demonstration, abnormal EEG dataset of schizophrenia patients was extracted from kaggle database. Using Microsoft Excel, the extracted schizophrenia EEG dataset was plotted to show the nonlinear structure of the brain electrical activity. Thus comparing the electrical activity of the normal brain and that of the abnormal brain, a disorder can be easily detected.