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

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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Bibliographic Details
Main Authors: Suguru Kanoga, Takayuki Hoshino, Hideki Asoh
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Human Neuroscience
Subjects:
electroencephalogram
brain–computer interface
independent component analysis
artifact reduction
independent low-rank matrix analysis
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2020.00173/full

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