标题:Nonlinear analysis of EEG using Fractal Dimension and Approximate Entropy
作者:Geng, Shujuan ;Zhou, Weidong ;Yao, Qingmei ;Ma, Zhen
通讯作者:Geng, S
作者机构:[Geng, Shujuan ;Zhou, Weidong ;Ma, Zhen ] School of Information Science and Engineering, Shandong University, Jinan, China;[Geng, Shujuan ;Yao, Qingme 更多
会议名称:2012 2nd International Conference on Materials Science and Information Technology, MSIT 2012
会议日期:24 August 2012 through 26 August 2012
来源:Advanced Materials Research
出版年:2012
卷:532-533
页码:988-992
DOI:10.4028/www.scientific.net/AMR.532-533.988
关键词:Approximate Entropy; EEG; Epilepsy; Fractal Dimension
摘要:The automated detection of seizures in EEG is significant for epilepsy monitoring, diagnosis and rehabilitation. In this work, we evaluated the differences between epileptic EEG, interictal EEG and normal EEG by computing their Higuchi Fractal Dimension (HFD) and Approximate Entropy (ApEn). The calculated results show that there are significant differences between epileptic EEG and normal EEG in the variations of HFD and ApEn. HFD and ApEn have been shown to be useful to characterize normal and epileptic brain electrical activities, and the degree of complexity of epileptic EEG is lower than that of normal EEG even during interictal time. Our results could be helpful for interpreting the epileptic brain electrical activity and the normal brain electrical activity, and their neurodynamics. © (2012) Trans Tech Publications, Switzerland.
收录类别:EI;SCOPUS
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868667577&doi=10.4028%2fwww.scientific.net%2fAMR.532-533.988&partnerID=40&md5=5c50e7642ee9eae43694d7acc3a8af34
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