Dispersion Entropy for the Analysis of Resting-state MEG Regularity in Alzheimer’s Disease

Hamed Azami, Mostafa Rostaghi, Alberto Fernández, Javier Escudero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Alzheimer’s disease (AD) is a progressive degenerative brain disorder affecting memory, thinking, behaviour and emotion. It is the most common form of dementia and a big social problem in western societies. The analysis of brain activity may help to diagnose this disease. Changes in entropy methods have been reported useful in research studies to characterize AD. We have recently proposed dispersion entropy (DisEn) as a very fast and powerful tool to quantify the irregularity of time series. The aim of this paper is to evaluate the ability of DisEn, in comparison with fuzzy entropy (FuzEn), sample entropy (SampEn), and permutation entropy (PerEn), to discriminate 36 AD patients from 26 elderly control subjects using resting-state magnetoencephalogram (MEG) signals. The results obtained by DisEn, FuzEn, and SampEn, unlike PerEn, show that the AD patients’ signals are more regular than controls’ time series. The p-values obtained by DisEn, FuzEn, SampEn, and PerEn based methods demonstrate the superiority of DisEn over PerEn, SampEn, and PerEn. Moreover, the computation time for the newly proposed DisEn-based method is noticeably less than for the FuzEn, SampEn, and PerEn based approaches.
Original languageEnglish
Title of host publicationProceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Pages6417-6420
Number of pages4
ISBN (Electronic)978-1-4577-0220-4/16
Publication statusPublished - 20 Aug 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Florida, Orlando, United States
Duration: 16 Aug 201620 Aug 2016
https://embc.embs.org/2016/

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC 2016
Country/TerritoryUnited States
CityOrlando
Period16/08/1620/08/16
Internet address

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