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Removal of Artifacts from EEG Signals: A Review

文献类型:期刊论文

作者Jiang, Xiao1,2; Bian, Gui-Bin1; Tian, Zean2
刊名SENSORS
出版日期2019-03-01
卷号19期号:5页码:18
关键词electroencephalogram artifact removal techniques artifacts
ISSN号1424-8220
DOI10.3390/s19050987
通讯作者Bian, Gui-Bin(guibin.bian@ia.ac.cn)
英文摘要Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated with artifacts and then affect the analysis of EEG signal. Hence, it is essential to develop methods to effectively detect and extract the clean EEG data during encephalogram recordings. Several methods have been proposed to remove artifacts, but the research on artifact removal continues to be an open problem. This paper tends to review the current artifact removal of various contaminations. We first discuss the characteristics of EEG data and the types of different artifacts. Then, a general overview of the state-of-the-art methods and their detail analysis are presented. Lastly, a comparative analysis is provided for choosing a suitable methods according to particular application.
WOS关键词INDEPENDENT COMPONENT ANALYSIS ; CANONICAL CORRELATION-ANALYSIS ; EVENT-RELATED POTENTIALS ; BLIND SOURCE SEPARATION ; EMPIRICAL MODE DECOMPOSITION ; EYE-MOVEMENT ARTIFACTS ; OCULAR ARTIFACTS ; AUTOMATIC REMOVAL ; MUSCLE ARTIFACTS ; ICA
资助项目National Natural Science Foundation of China[U1713220] ; Beijing Natural Science Foundation[4161001] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2018165]
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000462540400006
出版者MDPI
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/28055]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Bian, Gui-Bin
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Guizhou Univ, Sch Big Data & Informat Engn, Guiyang 550025, Guizhou, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Xiao,Bian, Gui-Bin,Tian, Zean. Removal of Artifacts from EEG Signals: A Review[J]. SENSORS,2019,19(5):18.
APA Jiang, Xiao,Bian, Gui-Bin,&Tian, Zean.(2019).Removal of Artifacts from EEG Signals: A Review.SENSORS,19(5),18.
MLA Jiang, Xiao,et al."Removal of Artifacts from EEG Signals: A Review".SENSORS 19.5(2019):18.

入库方式: OAI收割

来源:自动化研究所

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