IR@PKUHSC  > 北京大学第一临床医学院  > 儿科
学科主题临床医学
Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls
Yang, Zhixian1; Wang, Yinghua2,3,4; Ouyang, Gaoxiang2,3,4
刊名SCIENTIFIC WORLD JOURNAL
2014
DOI10.1155/2014/140863
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
WOS记录号WOS:000333913700001
项目编号61025019 ; 61105027 ; 4143063
资助机构Fundamental Research Funds for the Central Universities ; Peking-Tsinghua Center for Life Sciences ; National Natural Science Foundation of China ; Beijing Natural Science Foundation
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/49906
专题北京大学第一临床医学院_儿科
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
推荐引用方式
GB/T 7714
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.
APA Yang, Zhixian,Wang, Yinghua,&Ouyang, Gaoxiang.(2014).Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls.SCIENTIFIC WORLD JOURNAL.
MLA Yang, Zhixian,et al."Adaptive Neuro-Fuzzy Inference System for Classification of Background EEG Signals from ESES Patients and Controls".SCIENTIFIC WORLD JOURNAL (2014).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yang, Zhixian]的文章
[Wang, Yinghua]的文章
[Ouyang, Gaoxiang]的文章
百度学术
百度学术中相似的文章
[Yang, Zhixian]的文章
[Wang, Yinghua]的文章
[Ouyang, Gaoxiang]的文章
必应学术
必应学术中相似的文章
[Yang, Zhixian]的文章
[Wang, Yinghua]的文章
[Ouyang, Gaoxiang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。