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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שמור ב:
מידע ביבליוגרפי
Main Authors: Cassani, Raymundo, Falk, Tiago H., Fraga, Francisco J., Kanda, Paulo A. M., Anghinah, Renato
פורמט: Artigo
שפה:Inglês
יצא לאור: Frontiers Media S.A. 2014
נושאים:
Neuroscience
גישה מקוונת: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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