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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Detalles Bibliográficos
Autores principales: Li, Yongcheng, Wang, Po T., Vaidya, Mukta P., Flint, Robert D., Liu, Charles Y., Slutzky, Marc W., Do, An H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873899/
https://www.ncbi.nlm.nih.gov/pubmed/33584176
http://dx.doi.org/10.3389/fnins.2020.597941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873899/
https://www.ncbi.nlm.nih.gov/pubmed/33584176
http://dx.doi.org/10.3389/fnins.2020.597941

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