Analysis of magnetoencephalography recordings from Alzheimer´s disease patients using embedding entropies

Author

Gomez, Christopher ; Poza, Jesus ; Monge, Jesus ; Fernandez, Alicia ; Hornero, Roberto

Author_Institution

Dept. of Signal Theor. & Commun., Univ. of Valladolid, Valladolid, Spain

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

702

Lastpage

705

Abstract

The aim of this study was to examine the magnetoencephalography (MEG) background activity in Alzheimer´s disease (AD) using three embedding entropies: approximate entropy (ApEn), sample entropy (SampEn), and fuzzy entropy (FuzzyEn). These three methods measure the time series regularity. Five minutes of recording were acquired with a 148-channel whole-head magnetometer from 36 AD patients and 24 elderly control subjects. Our results showed that MEG activity was more regular in AD patients than in controls. Additionally, FuzzyEn revealed statistically significant differences between the two groups (p <; 0.01, Bonferroni-corrected Mann-Whitney U-test), while ApEn and SampEn did not. The better discriminating results of FuzzyEn in comparison with the other entropy algorithms suggest that it is more efficient for the characterization of MEG activity in AD.

Keywords

diseases; entropy; magnetoencephalography; Alzheimer´s disease patients; Bonferroni corrected Mann-Whitney U-test; MEG background activity; approximate entropy; embedding entropy; fuzzy entropy; magnetoencephalography recordings; sample entropy; whole head magnetometer; Alzheimer´s disease; Electroencephalography; Entropy; Magnetoencephalography; Time series analysis; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943687

Filename

6943687