Low Complexity Automatic Stationary Wavelet Transform for Elimination of Eye Blinks from EEG

The electroencephalogram signal (EEG) often suffers from various artifacts and noises that have physiological and non-physiological origins. Among these artifacts, eye blink, due to its amplitude is considered to have the most influence on EEG analysis. In this paper, a low complexity approach based...

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Detalles Bibliográficos
Autores principales: Shahbakhti, Mohammad, Maugeon, Maxime, Beiramvand, Matin, Marozas, Vaidotas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955982/
https://www.ncbi.nlm.nih.gov/pubmed/31810263
http://dx.doi.org/10.3390/brainsci9120352

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955982/
https://www.ncbi.nlm.nih.gov/pubmed/31810263
http://dx.doi.org/10.3390/brainsci9120352

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