Predictive Models in Diagnosis of Alzheimer’s Disease from EEG

Predictive Models in Diagnosis of Alzheimer’s Disease from EEG

The fluctuation of an EEG signal is a useful symptom of EEG quasi-stationarity. Linear predictive models of three types and their prediction error are studied via traditional and robust measures. The resulting EEG characteristics are applied to the diagnosis of Alzehimer’s disease. Our aim is to dec...

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Bibliographic Details
Main Authors: Lucie Tylova, Jaromir Kukal, Oldrich Vysata
Format: Article
Language:English
Published: CTU Central Library 2013-01-01
Series:Acta Polytechnica
Subjects:
Alzheimer’s disease
EEG
linear predictive model
quasi-stationarity
robust statistics
multiple testing
FDR.
Online Access:https://ojs.cvut.cz/ojs/index.php/ap/article/view/1791

Internet

https://ojs.cvut.cz/ojs/index.php/ap/article/view/1791

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