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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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Li, Yongcheng, Wang, Po T., Vaidya, Mukta P., Flint, Robert D., Liu, Charles Y., Slutzky, Marc W., Do, An H.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7873899/
https://ncbi.nlm.nih.gov/pubmed/33584176
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.597941
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