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Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals
BACKGROUND: Artifacts contained in EEG recordings hamper both, the visual interpretation by experts as well as the algorithmic processing and analysis (e.g. for Brain-Computer Interfaces (BCI) or for Mental State Monitoring). While hand-optimized selection of source components derived from Independe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3175453/ https://www.ncbi.nlm.nih.gov/pubmed/21810266 http://dx.doi.org/10.1186/1744-9081-7-30 |