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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Detalles Bibliográficos
Autores principales: Issa, Mohamed F., Juhasz, Zoltan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956025/
https://www.ncbi.nlm.nih.gov/pubmed/31817120
http://dx.doi.org/10.3390/brainsci9120355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6956025/
https://www.ncbi.nlm.nih.gov/pubmed/31817120
http://dx.doi.org/10.3390/brainsci9120355

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