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Removal of muscular artifacts in EEG signals: a comparison of linear decomposition methods
The most common approach to reduce muscle artifacts in electroencephalographic signals is to linearly decompose the signals in order to separate artifactual from neural sources, using one of several variants of independent component analysis (ICA). Here we compare three of the most commonly used ICA...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893498/ https://www.ncbi.nlm.nih.gov/pubmed/29322469 http://dx.doi.org/10.1007/s40708-017-0074-6 |