Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)—A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG

Electroencephalographic (EEG) recordings are often contaminated by electromyographic (EMG) artifacts, especially when recording during movement. Existing methods to remove EMG artifacts include independent component analysis (ICA), and other high-order statistical methods. However, these methods can...

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Autors principals:	Yongcheng Li, Po T. Wang, Mukta P. Vaidya, Robert D. Flint, Charles Y. Liu, Marc W. Slutzky, An H. Do
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2021-01-01
Col·lecció:	Frontiers in Neuroscience
Matèries:	artifact removal ICA EMG artifacts EEG blind source separation
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnins.2020.597941/full
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