Epileptic State Detection: Pre-ictal, Inter-ictal, Ictal

Abstract

Epileptic seizure detection from electroencephalography (EEG) is a vital area of research. In this study, Second-Order Difference Plot (SODP) is used to extract features based on consecutive difference of time domain values from three states of EEG (pre-ictal, ictal and post-ictal), and Multi-Layer Neural Network classifier ais used to classify these three classes. The proposed technique is tested on a publicly available EEG database and compared Naive Bayes and k-nearest neighbor classifiers. As a result, it is shown that overall accuracy of 98.70% can be achieved by using the proposed system with Neural Network classifier. Keywords—