Nonlinear Analysis of EEG Using Fractal Dimension and Approximate Entropy

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 electrioal 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.

关键词： EEG Epilepsy Fractal Dimension Approximate Entropy

作者: Shujuan Geng Weidong Zhou Qingmei Yao Zhen Ma

作者单位: School of Information Science and Engineering, Shandong University, Jinan, China;School of Informati School of Information Science and Engineering, Shandong University, Jinan, China School of Information & Electric Engineering, Shandong Jianzhu University, Jinan, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 988-992

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）