%0 Journal Article
%T INFORMATION ENTROPY ANALYSIS OF EEG<br>EEG的信息熵分析
%A Tong Qinye Liu Gangqiang Liu Jiayou
%A <br>童勤业
%A 刘刚强
%A 刘加友
%A 庞加利
%A 焦静如
%A 徐京华
%J 生物物理学报
%D 1993
%I 
%X Human EEG is an unstable chaotic state in view of nonlinear dynamics analysis. In this paper an information entropy measurement to characterize the EEG temporal series is introduced. The information entropy was computed and showed to be closely related to the brain functional states. It was also found that the characteristic parameters of EEG of some mental patients were inverted as that of normal person. It is very helpful and important to diagnose Psychiatric patients.
%K EEG Chaos Time series<br>混沌
%K 时间序列
%K 脑电图
%K 信息熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=3DD40FED503ED4D861629C7D8BBC2B0E&yid=D418FDC97F7C2EBA&vid=9CF7A0430CBB2DFD&iid=E158A972A605785F&sid=9107B2E171152411&eid=7C13E30F5EDBE7AB&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=11&reference_num=3