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The Scientific World Journal
Volume 2015 (2015), Article ID 931387, 11 pages
Research Article

A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals

1Applied Computing Research Group, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK
2Laboratoire SIGMA, ESPCI ParisTech, 14 boulevard des Frères Voisin, 92130 Issy-les-Moulineaux, France

Received 4 June 2014; Revised 8 August 2014; Accepted 8 August 2014

Academic Editor: Jinshan Tang

Copyright © 2015 Dhiya Al-Jumeily et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Studies have reported that electroencephalogram signals in Alzheimer’s disease patients usually have less synchronization than those of healthy subjects. Changes in electroencephalogram signals start at early stage but, clinically, these changes are not easily detected. To detect this perturbation, three neural synchrony measurement techniques: phase synchrony, magnitude squared coherence, and cross correlation are applied to three different databases of mild Alzheimer’s disease patients and healthy subjects. We have compared the right and left temporal lobes of the brain with the rest of the brain areas (frontal, central, and occipital) as temporal regions are relatively the first ones to be affected by Alzheimer’s disease. Moreover, electroencephalogram signals are further classified into five different frequency bands (delta, theta, alpha beta, and gamma) because each frequency band has its own physiological significance in terms of signal evaluation. A new approach using principal component analysis before applying neural synchrony measurement techniques has been presented and compared with Average technique. The simulation results indicated that applying principal component analysis before synchrony measurement techniques shows significantly better results as compared to the lateral one. At the end, all the aforementioned techniques are assessed by a statistical test (Mann-Whitney test) to compare the results.