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

• DOI: 10.18201/ijisae.14531
• Publication Date: 2015-06-10T11:33:51Z
• Authors: Apdullah Yayik; Esen Yildirim; Yakup Kutlu; Serdar Yildirim
• Keywords: Second-Order Difference Plot; Neural Network; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; Epileptic State Detection; Second-Order Difference Plot; Neural Network; Epileptic State Detection

Epileptic seizure detection and prediction 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 inter-ictal), and Multi-Layer Neural Network classifier is used to classify these three classes. The proposed technique is tested on a publicly available EEG database and classified with 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.