An Unsupervised Multichannel Artifact Detection Method for Sleep EEG Based on Riemannian Geometry

In biomedical signal processing, we often face the problem of artifacts that distort the original signals. This concerns also sleep recordings, such as EEG. Artifacts may severely affect or even make impossible visual inspection, as well as automatic processing. Many proposed methods concentrate on...

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Detalles Bibliográficos
Autores principales: Saifutdinova, Elizaveta, Congedo, Marco, Dudysova, Daniela, Lhotska, Lenka, Koprivova, Jana, Gerla, Vaclav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387048/
https://www.ncbi.nlm.nih.gov/pubmed/30709001
http://dx.doi.org/10.3390/s19030602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387048/
https://www.ncbi.nlm.nih.gov/pubmed/30709001
http://dx.doi.org/10.3390/s19030602

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