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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Опубликовано в: :Front Neurosci
Главные авторы: Li, Yongcheng, Wang, Po T., Vaidya, Mukta P., Flint, Robert D., Liu, Charles Y., Slutzky, Marc W., Do, An H.
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2021
Предметы:
Neuroscience
Online-ссылка: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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