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A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography
Independent Component Analysis (ICA) is a conventional approach to exclude non-brain signals such as eye movements and muscle artifacts from electroencephalography (EEG). A rejection of independent components (ICs) is usually performed in semiautomatic mode and requires experts’ involvement. As also...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675888/ https://www.ncbi.nlm.nih.gov/pubmed/34924988 http://dx.doi.org/10.3389/fninf.2021.720229 |