Nonlinear Analysis of Clinical Epileptic EEG by Approximate Entropy  

作　　者：刘衍素 夏阳 徐鸿儒 周东 尧德中 

机构地区：[1]School of Life Science and Technology, UESTC Chengdu 610054 China [2]Department of Neurology, West China Hospital, Sichuan University Chengdu 610041 China

出　　处：《Journal of Electronic Science and Technology of China》2005年第1期72-74,共3页中国电子科技（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.90208003, 30200059) and 973 Project (No. 2003CB716106)

摘　　要：By the means of computing approximate entropy (ApEn) of video-EEG from some clinical epileptic, ApEn of EEG with epileptiform discharges is found significantly different from that of EEG without epileptiform discharges, (p=0.002). Meanwhile, dynamic ApEn shows consistent change of EEG signal with discharges of epileptic waves inside. These results suggest that ApEn may be a useful tool for automatic recognition and detection of epileptic activity and for understanding epileptogenic mechanism.By the means of computing approximate entropy (ApEn) of video-EEG from some clinical epileptic, ApEn of EEG with epileptiform discharges is found significantly different from that of EEG without epileptiform discharges, (p=0.002). Meanwhile, dynamic ApEn shows consistent change of EEG signal with discharges of epileptic waves inside. These results suggest that ApEn may be a useful tool for automatic recognition and detection of epileptic activity and for understanding epileptogenic mechanism.

关 键 词：EPILEPSY VIDEO-EEG ApEn 

分 类 号：R742.1[医药卫生—神经病学与精神病学] TP391.41[医药卫生—临床医学]