脑电波的统计特性  

Statistical properties of human brain electroencephalogram.

作　　者：袁蒋伟[1] 吴伊自[2] 沈杰[1] 

机构地区：[1]浙江大学物理系,浙江杭州310027 [2]浙江大学竺可桢学院,浙江杭州310027

出　　处：《浙江大学学报（理学版）》2007年第1期43-45,61,共4页Journal of Zhejiang University（Science Edition）

摘　　要：通过自关联函数和DFA等方法来分析正常人和老年痴呆症患者的EEG脑电波数据,得出了脑电波数据信号在时间上具有长程关联性,发现老年痴呆症患者和正常人的脑电波的一些差异.Many activities in the past years have been devoted to the application of physical concepts and methods to complex biological, meteorological and economic systems. Due to interactions among elements in the complex systems, long-range spatial and/or temporal correlations are often generated. The purpose of this paper is to study the statistical properties of the human brain electroencephalogram with concepts and methods of statistical physics. Through calculating auto-correlation function and DFA, the long-range temporal correlation is revealed. Certain effects of the Atzheimer＇s disease are observed.

关 键 词：脑电渡数据 自关联函数 DFA 长程关联 

分 类 号：O411[理学—理论物理]