Removal of Artifacts from EEG Signals: A Review

doi:10.3390/s19050987

	Removal of Artifacts from EEG Signals: A Review
	Jiang, Xiao 1,2; Bian, Gui-Bin1 ; Tian, Zean 2
发表期刊	SENSORS
ISSN	1424-8220
	2019-03-01
卷号	19 期号:5 页码:18
通讯作者	Bian, Gui-Bin(guibin.bian@ia.ac.cn)
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.
关键词	electroencephalogram artifact removal techniques artifacts
DOI	10.3390/s19050987
关键词[WOS]	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
收录类别	SCI
语种	英语
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] ; National Natural Science Foundation of China[U1713220] ; Beijing Natural Science Foundation[4161001] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2018165]
项目资助者	National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS记录号	WOS:000462540400006
出版者	MDPI
七大方向——子方向分类	多模态智能
引用统计	被引频次：298[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/28056
专题	复杂系统认知与决策实验室_先进机器人
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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.