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:...

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Detalles Bibliográficos
Autores principales: Tamburro, Gabriella, Fiedler, Patrique, Stone, David, Haueisen, Jens, Comani, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Neuroscience
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

Internet

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

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