By Topic

Electroencephalograms Multiscale Entropy Analysis of Alzheimer's Disease Patients

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Escudero, J. ; E.T.S. Ingenieros de Telecomunicación, University of Valladolid, Valladolid, Spain ; Abasolo, D. ; Hornero, R. ; Espino, P.
more authors

This paper aims to analyse the electroencephalogram (EEG) background activity of Alzheimer's disease (AD) patients using the multiscale entropy (MSE) method. The MSE has been recently introduced as a measure of the signal complexity that inspects different time scales. EEGs were recorded from 19 scalp electrodes in 8 AD patients and 8 control subjects and the MSE analysis was performed on each artefact-free EEG epoch. The MSE analysis of the data suggests a high degree of complexity and the presence of long time correlations in the EEG. Moreover, we found significant differences (p-value < 0.01, Student's t-test) between the MSE profile of control subjects and AD patients at 7 electrodes (Fp1, Fp2, T5, P3, P4, O1 and O2). We can infer from these findings that the MSE may be a useful tool to inspect the complexity of the EEG and, therefore, increase our knowledge of AD.

Published in:

Advances in Medical, Signal and Information Processing, 2006. MEDSIP 2006. IET 3rd International Conference On

Date of Conference:

17-19 July 2006