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Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis
Electroencephalography (EEG) signals are frequently contaminated with unwanted electrooculographic (EOG) artifacts. Blinks and eye movements generate large amplitude peaks that corrupt EEG measurements. Independent component analysis (ICA) has been used extensively in manual and automatic methods to...
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| Publicado no: | Brain Sci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6956025/ https://ncbi.nlm.nih.gov/pubmed/31817120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/brainsci9120355 |
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