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dc.contributor.author游荣义
dc.contributor.author陈忠
dc.date.accessioned2017-11-14T03:09:29Z
dc.date.available2017-11-14T03:09:29Z
dc.date.issued2004-07-25
dc.identifier.citation计算物理,2004,(04):62-65
dc.identifier.issn1001-246X
dc.identifier.otherJSWL200404010
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/156032
dc.description.abstract 提出一种基于相空间重构脑电信号来计算脑电近似熵和信息熵的新方法.实验计算结果表明,癫痫患者脑电和正常人脑电的近似熵和信息熵随相空间嵌入维数的变化有明显的不同.
dc.description.abstractBased on the reconstruction of EEG in phase space, a novel algorithm for calculating the approximate entropy and the information entropy of EEG is proposed.The calculated results show that, there are significant differences between epileptic EEG and normal EEG in the variations in approximate entropy and information entropy.
dc.description.sponsorship福建省自然科学基金计划(批准号:C0310028);; 福建省教育厅重点项目(闽教2001高188)资助项目
dc.language.isozh_CN
dc.subject脑电
dc.subject相空间
dc.subject近似熵
dc.subject信息熵
dc.subjectelectroencephalogram(EEG)
dc.subjectphase space
dc.subjectapproximate entropy
dc.subjectinformation entropy
dc.title相空间中脑电近似熵和信息熵的计算
dc.title.alternativeCalculation of the Approximate Entropy and the Information Entropy of EEG in Phase Space
dc.typeArticle


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