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A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings
BACKGROUND: EEG may be affected by artefacts hindering the analysis of brain signals. Data-driven methods like independent component analysis (ICA) are successful approaches to remove artefacts from the EEG. However, the ICA-based methods developed so far are often affected by limitations, such as:...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826009/ https://www.ncbi.nlm.nih.gov/pubmed/29492336 http://dx.doi.org/10.7717/peerj.4380 |