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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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Bibliografiske detaljer
Udgivet i:Front Neurosci
Main Authors: Li, Yongcheng, Wang, Po T., Vaidya, Mukta P., Flint, Robert D., Liu, Charles Y., Slutzky, Marc W., Do, An H.
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Online adgang: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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