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:...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:PeerJ
Hoofdauteurs: Tamburro, Gabriella, Fiedler, Patrique, Stone, David, Haueisen, Jens, Comani, Silvia
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: PeerJ Inc. 2018
Onderwerpen:
Neuroscience
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5826009/
https://ncbi.nlm.nih.gov/pubmed/29492336
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.4380
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items