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Cited by 826

The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.

Removal of Artifacts from EEG Signals: A Review

Open access
Jiang, Xiao, Bian, Gui-Bin, Tian, Zean·2019·Sensors

Abstract

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.

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Metadata

Authors
Jiang, X., Bian, G.-B., & Tian, Z.
Venue
Sensors
Publisher
MDPI AG
Published
2019-02-26
Volume
19
Issue
5
Pages
987
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2915196348
Cited by
826
References
93
FWCI
46.51
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Removal of Artifacts from EEG Signals: A Review. https://app.cochat.ai/papers/10.3390/s19050987
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Jiang, X., Bian, G.-B., & Tian, Z. (2019). Removal of Artifacts from EEG Signals: A Review. Sensors. https://doi.org/10.3390/s19050987

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