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学科主题: 临床医学
题名:
Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls
作者: Yang, Zhixian1; Wang, Yinghua2,3,4; Ouyang, Gaoxiang2,3,4
刊名: SCIENTIFIC WORLD JOURNAL
发表日期: 2014
DOI: 10.1155/2014/140863
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Multidisciplinary Sciences
研究领域[WOS]: Science & Technology - Other Topics
关键词[WOS]: ELECTRICAL STATUS EPILEPTICUS ; ABSENCE EPILEPSY PATIENTS ; ALZHEIMERS-DISEASE PATIENTS ; TIME-SERIES ANALYSIS ; APPROXIMATE ENTROPY ; PERMUTATION ENTROPY ; SLOW SLEEP ; SAMPLE ENTROPY ; FEATURE-EXTRACTION ; MEDICAL DATA
英文摘要:

Background electroencephalography (EEG), recorded with scalp electrodes, in children with electrical status epilepticus during slow-wave sleep (ESES) syndrome and control subjects has been analyzed. We considered 10 ESES patients, all right-handed and aged 3-9 years. The 10 control individuals had the same characteristics of the ESES ones but presented a normal EEG. Recordings were undertaken in the awake and relaxed states with their eyes open. The complexity of background EEG was evaluated using the permutation entropy (PE) and sample entropy (SampEn) in combination with the ANOVA test. It can be seen that the entropy measures of EEG are significantly different between the ESES patients and normal control subjects. Then, a classification framework based on entropy measures and adaptive neuro-fuzzy inference system (ANFIS) classifier is proposed to distinguish ESES and normal EEG signals. The results are promising and a classification accuracy of about 89% is achieved.

语种: 英语
所属项目编号: 61025019 ; 61105027 ; 4143063
项目资助者: Fundamental Research Funds for the Central Universities ; Peking-Tsinghua Center for Life Sciences ; National Natural Science Foundation of China ; Beijing Natural Science Foundation
WOS记录号: WOS:000333913700001
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/49906
Appears in Collections:北京大学第一临床医学院_儿科_期刊论文

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作者单位: 1.Beijing Normal Univ, Ctr Collaborat & Innovat Brain & Learning Sci, Beijing 100875, Peoples R China
2.Peking Univ, Hosp 1, Dept Pediat, Beijing 100034, Peoples R China
3.Beijing Normal Univ, State Key Lab Cognit Neurosci, Beijing 100875, Peoples R China
4.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China

Recommended Citation:
Yang, Zhixian,Wang, Yinghua,Ouyang, Gaoxiang. Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls[J]. SCIENTIFIC WORLD JOURNAL,2014.
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