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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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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6387048/ https://ncbi.nlm.nih.gov/pubmed/30709001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19030602 |
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