The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis

Over the last decade, electroencephalography (EEG) has emerged as a reliable tool for the diagnosis of cortical disorders such as Alzheimer's disease (AD). EEG signals, however, are susceptible to several artifacts, such as ocular, muscular, movement, and environmental. To overcome this limitat...

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Detalles Bibliográficos
Autores principales: Cassani, Raymundo, Falk, Tiago H., Fraga, Francisco J., Kanda, Paulo A. M., Anghinah, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971195/
https://www.ncbi.nlm.nih.gov/pubmed/24723886
http://dx.doi.org/10.3389/fnagi.2014.00055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971195/
https://www.ncbi.nlm.nih.gov/pubmed/24723886
http://dx.doi.org/10.3389/fnagi.2014.00055

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