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学科主题: 临床医学
题名:
Dynamic characteristics of absence EEG recordings with multiscale permutation entropy analysis
作者: Ouyang, Gaoxiang1; Li, Jing2,5; Liu, Xianzeng3,4; Li, Xiaoli1,6
关键词: Absence seizure ; EEG ; Multiscale permutation entropy ; Classification
刊名: EPILEPSY RESEARCH
发表日期: 2013-05-01
DOI: 10.1016/j.eplepsyres.2012.11.003
卷: 104, 期:3, 页:246-252
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Clinical Neurology
研究领域[WOS]: Neurosciences & Neurology
关键词[WOS]: BRAIN ELECTRICAL-ACTIVITY ; EPILEPSY PATIENTS ; WAVE DISCHARGES ; GENETIC MODEL ; SEIZURES ; ELECTROENCEPHALOGRAM ; RATS ; COMPLEXITY ; NETWORKS ; SPECTRUM
英文摘要:

Understanding the transition of brain activities towards an absence seizure, called pre-epileptic seizure, is a challenge. In this study, multiscale permutation entropy (MPE) is proposed to describe dynamical characteristics of electroencephalograph (EEG) recordings on different absence seizure states. The classification ability of the MPE measures using linear discriminant analysis is evaluated by a series of experiments. Compared to a traditional multiscale entropy method with 86.1% as its classification accuracy, the classification rate of MPE is 90.6%. Experimental results demonstrate there is a reduction of permutation entropy of EEG from the seizure-free state to the seizure state. Moreover, it is indicated that the dynamical characteristics of EEG data with MPE can identify the differences among seizure-free, pre-seizure and seizure states. This also supports the view that EEG has a detectable change prior to an absence seizure. (C) 2012 Elsevier B.V. All rights reserved.

语种: 英语
所属项目编号: 61105027 ; 61025019 ; 20100470991 ; 201104391
项目资助者: National Natural Science Foundation of China ; China Post-doctoral Science Foundation
WOS记录号: WOS:000319369400008
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/50726
Appears in Collections:北京大学第二临床医学院_神经内科_期刊论文

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作者单位: 1.Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
2.Univ Sheffield, Dept Comp Sci, Nat Langauge Proc Res Grp, Sheffield S1 4DP, S Yorkshire, England
3.Peking Univ, Peoples Hosp, Dept Neurol, Comprehens Epilepsy Ctr, Beijing 100044, Peoples R China
4.Peking Univ, Peoples Hosp, Dept Neurosurg, Comprehens Epilepsy Ctr, Beijing 100044, Peoples R China
5.Nanchang Univ, Sch Informat Engn, Dept Elect & Automat Engn, Nanchang 330031, Peoples R China
6.Beijing Normal Univ, Natl Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China

Recommended Citation:
Ouyang, Gaoxiang,Li, Jing,Liu, Xianzeng,et al. Dynamic characteristics of absence EEG recordings with multiscale permutation entropy analysis[J]. EPILEPSY RESEARCH,2013,104(3):246-252.
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