Comprehensive survey on EEG analysis for detecting brain disorders

Abstract

Electroencephalography (EEG) enlighten about the state of the brain i.e. about the electrical activity of the brain. The electrical activity measured as voltage at different points of brain act as basis of EEG. These signals are generally time-varying and non-stationary in nature. These signals can be scrutinized using various signal processing techniques. In this paper, few statistical approaches to analyze EEG data are discussed. The EEG is a medical modality that plays crucial roles in detecting, displaying and recording electrical activity in the brain. This paper reviews the analysis method of EEG signal for common diseases like Epilepsy, Brain Injuries, Alzheimer ’s disease and schizophrenia. Fast Fourier Transform, Short Time Fourier Transform (STFT) and event-related potential (ERP) are some of the techniques used in analyzing EEG signal.