基于Renyi熵的抑郁症患者的Alpha波活动分析  

Entropy Analysis of the EEG Alpha Activity in Depression Patients

作　　者：唐莺莹[1] 李颖洁[2] 童善保[1] 李扬[1] 朱贻盛[1] 

机构地区：[1]上海交通大学生物医学工程系,上海200240 [2]上海大学通信与信息工程学院,上海200072

出　　处：《生物医学工程学杂志》2009年第4期739-742,共4页Journal of Biomedical Engineering

基　　金：国家"973计划"项目资助(2005CB724303);上海市重点学科建设项目资助(T0102)

摘　　要：本研究以Renyi熵作为α波活动复杂性的量度,分析在不同认知任务下抑郁症患者的α波活动的变化。结果发现:在安静闭目状态下,抑郁症组α波的活动比正常人复杂;而在心算连减任务时,抑郁症组α波活动比正常人更有规律;抑郁症患者进行心算连减任务时α活动比安静闭目状态下显著规律。Renyi熵的时频特征分析刻画了抑郁症患者α活动的复杂性,可以为认知过程研究和抑郁症的判别提供一个新的研究角度。The alpha rhythm in electroencephalograph has been associated with the mental state of the brain. The aim of the present study was to analyze the complexity of the alpha activity in depression patients by Renyi entropy （RE） under two conditions, i.e. resting with eyes closed followed by a simple mental arithmetic. The EEGs were recorded in 20 depression patients and 20 age-matched control subjects. Results showed that the alpha activity of depression patients is more complex during resting and is more regular during the mental arithmetic than that of the controls. RE analysis can well characterize the alpha activity in depression patients and could be a valuable tool to study cognitive process and also a potential effective approach for the diagnosis of depression.

关 键 词：脑电图 α波活动 抑郁症 RENYI熵 

分 类 号：R318.04[医药卫生—生物医学工程]