Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states
Itaf Ben Slimen1
Larbi Boubchir2
Hassene Seddik1
1.Centre de Recherche et de Production Research Lab., Ecole Nationale Supérieure des Ingénieurs de Tunis, University of Tunis, Tunis 1008, Tunisia2.Laboratoire d'Informatique Avancée de Saint-Denis Research Lab., University of Paris 8, Saint-Denis, Cedex 93526, France
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 ensured 92％ accuracy in seizure prediction for all patients.
机标关键词：
分类号：R742.1(神经病学与精神病学)
论文发表日期：2020-05-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 162-169 )
英文信息