Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms

Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) can potentially enable people to non-invasively and directly communicate with others using brain activities. Artifacts generated from body activities (e.g., eyeblinks and teeth clenches) often contaminate EEGs and make EEG-based class...

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Detalles Bibliográficos
Autores principales: Kanoga, Suguru, Hoshino, Takayuki, Asoh, Hideki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296171/
https://www.ncbi.nlm.nih.gov/pubmed/32581739
http://dx.doi.org/10.3389/fnhum.2020.00173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296171/
https://www.ncbi.nlm.nih.gov/pubmed/32581739
http://dx.doi.org/10.3389/fnhum.2020.00173

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