Electroencephalogram Background Activity Characterization with Detrended Moving Average in Alzheimer's Disease Patients
Abásolo, D, Hornero, R, Gómez, C, Escudero, J and Espino, P (2009) Electroencephalogram Background Activity Characterization with Detrended Moving Average in Alzheimer's Disease Patients In: 6th IEEE International Symposium on Intelligent Signal Processing, 2009-08-26 - 2009-08-28, Budapest, HUNGARY.
Available under License : See the attached licence file.
The aim of this study was to analyse the electroencephalogram (EEG) background activity in Alzheimer's disease (AD) with the Detrended Moving Average (DMA) method, a new approach to quantify correlation properties in non-stationary signals with underlying trends. EEGs were recorded from the 19 scalp loci of the international 10-20 system in 11 AD patients and 11 age-matched controls. Our results showed two scaling regions in all subjects' channels, with a clear bend when their corresponding slopes (alpha(1) and alpha(2)) were distinctly different. With the exception of electrode T4, the alpha(1) values were lower in control subjects than in AD patients, with significant differences at TS, P3, P4 and O1 (p < 0.01, Student's t-test). On the other hand, alpha(2) values were higher in control subjects than in AD patients, with significant differences only at F4. Furthermore, we evaluated the ability of alpha(2) to discriminate AD patients from control subjects at these electrodes using ROC plots. We obtained a maximum accuracy of 81.82% at O1 with alpha(1) and at F4 with alpha(2). These findings suggest that the scaling behaviour of the EEG is sensitive to AD and that the DMA method could help to increase our insight into brain dysfunction in AD.
|Item Type:||Conference or Workshop Item (Paper)|
Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
|Uncontrolled Keywords:||RANGE TEMPORAL CORRELATIONS, EEG, OSCILLATIONS, ENTROPY|
|Divisions:||Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences|
|Depositing User:||Symplectic Elements|
|Date Deposited:||02 Oct 2012 14:03|
|Last Modified:||23 Sep 2013 19:36|
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