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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![]() |
刊名 | SENSORS
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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 |
DOI | 10.3390/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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