Paper Info
Title
Analysis of magnetoencephalography recordings from Alzheimer's disease patients using embedding entropies.
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.
Year
DOI
Venue
2014
10.1109/EMBC.2014.6943687
EMBC
Keywords
DocType
Volume
fuzzy entropy,embedding entropy,diseases,meg background activity,whole head magnetometer,alzheimer's disease patients,bonferroni corrected mann-whitney u-test,sample entropy,approximate entropy,magnetoencephalography,magnetoencephalography recordings,entropy
Conference
2014
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Carlos Gómez18615.72
Jesús Poza25512.29
Jesús Monge300.34
Alberto Fernández45311.82
Roberto Hornero560367.74