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A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals
Joint Authors
Vialatte, Francois Benoit
Fergus, Paul
Hussain, Abir
Al-Jumeily, Dhiya
Iram, Shamaila
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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 U test) to compare the results.
American Psychological Association (APA)
Al-Jumeily, Dhiya& Iram, Shamaila& Vialatte, Francois Benoit& Fergus, Paul& Hussain, Abir. 2015. A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079296
Modern Language Association (MLA)
Al-Jumeily, Dhiya…[et al.]. A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals. The Scientific World Journal No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1079296
American Medical Association (AMA)
Al-Jumeily, Dhiya& Iram, Shamaila& Vialatte, Francois Benoit& Fergus, Paul& Hussain, Abir. A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1079296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079296