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

作　　者：Itaf Ben Slimen Larbi Boubchir Hassene Seddik 

机构地区：[1]Centre de Recherche et de Production Research Lab.,Ecole Nationale Superieure des Ingenieurs de Tunis,University of Tunis,Tunis 1008,Tunisia [2]Laboratoire d'Informatique Avancee de Saint-Denis Research Lab.,University of Paris 8,Saint-Denis,Cedex 93526,France

出　　处：《The Journal of Biomedical Research》2020年第3期162-169,共8页生物医学研究杂志（英文版）

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

关 键 词：ELECTROENCEPHALOGRAM EPILEPSY seizure prediction spikes detection 

分 类 号：R742.1[医药卫生—神经病学与精神病学]