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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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Bibliografski detalji
Glavni autori: Cassani, Raymundo, Falk, Tiago H., Fraga, Francisco J., Kanda, Paulo A. M., Anghinah, Renato
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2014
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3971195/
https://ncbi.nlm.nih.gov/pubmed/24723886
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2014.00055
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