A Review on Machine Learning Algorithm for EEG Signal Analysis

Abstract

The electroencephalogram (EEG) signal is used to represents and records the electrical activity of the brain. The information obtained from the signals is useful for diagnosing and analyzing various brain diseases and brain conditions. If the brain diseases are left unidentified it leads to death. The early detection of brain diseases is very important to reduce the modality rate. For easy analysis of various brain activities some machine learning techniques like SVM, k-Means, ANN, Linear Classifier and XG Boost have been reviewed in this paper.