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Removal of Artifacts from EEG Signals: A Review

Jiang, Xiao ; Bian, Gui-Bin ; Tian, Zean

Sensors (Basel, Switzerland), 2019-02, Vol.19 (5), p.987 [Periódico revisado por pares]

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Título:
Removal of Artifacts from EEG Signals: A Review
Autor: Jiang, Xiao ; Bian, Gui-Bin ; Tian, Zean
Assuntos: Algorithms ; artifact removal techniques ; Brain - physiology ; electroencephalogram ; Electroencephalography - methods ; Humans ; Review ; Signal Processing, Computer-Assisted
É parte de: Sensors (Basel, Switzerland), 2019-02, Vol.19 (5), p.987
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
Descrição: 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.
Editor: Switzerland: MDPI
Idioma: Inglês

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