Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states

作     者：Itaf Ben Slimen Larbi Boubchir Hassene Seddik Itaf Ben Slimen;Larbi Boubchir;Hassene Seddik

作者机构：Centre de Recherche et de Production Research Lab.Ecole Nationale Superieure des Ingenieurs de TunisUniversity of TunisTunis 1008Tunisia Laboratoire d'Informatique Avancee de Saint-Denis Research Lab.University of Paris 8Saint-DenisCedex 93526France 

出 版 物：《The Journal of Biomedical Research》 (生物医学研究杂志（英文版）)

年 卷 期：2020年第34卷第3期

页      面：162-169页

核心收录：

学科分类：1002[医学-临床医学] 100204[医学-神经病学] 10[医学] 

主　　题：electroencephalogram epilepsy seizure prediction spikes detection 

摘      要：Epileptic seizures are known for their unpredictable ***,recent research provides that the transition to seizure event is not random but the result of evidence ***,a reliable method capable to detect these indications can predict seizures and improve the life quality of epileptic *** periods are generally characterized by epileptiform discharges with different changes including spike rate variation according to the shapes,spikes,and the *** this study,spike rate is used as the indicator to anticipate seizures in electroencephalogram(EEG) *** detection step is used in EEG signal during interictal,preictal,and ictal periods followed by a mean filter to smooth the spike *** maximum spike rate in interictal periods is used as an indicator to predict *** the spike number in the preictal period exceeds the threshold,an alarm is *** the CHB-MIT database,the proposed approach has ensured92% accuracy in seizure prediction for all patients.