Paper Info
Title
Spectral and nonlinear analyses of MEG background activity in patients with Alzheimer's disease.
Abstract
The aim of the present study is to analyze the magnetoencephalogram (MEG) background activity from patients with Alzheimer's disease (AD) and elderly control subjects. MEG recordings from 20 AD patients and 21 controls were analyzed by means of two spectral [median frequency (MF) and spectral entropy (SpecEn)] and two nonlinear parameters [approximate entropy (ApEn) and Lempel-Ziv complexity (LZC)...
Year
DOI
Venue
2008
10.1109/TBME.2008.919872
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Spectral analysis,Alzheimer's disease,Magnetic analysis,Electroencephalography,Entropy,Linear discriminant analysis,Dementia,Frequency,Neurons,Aging
Nonlinear parameters,Approximate entropy,Nonlinear system,Pattern recognition,Speech recognition,Median frequency,Spectral entropy,Artificial intelligence,Linear discriminant analysis,Magnetoencephalography,Electroencephalography,Mathematics
Journal
Volume
Issue
ISSN
55
6
0018-9294
Citations 
PageRank 
References 
17
1.32
8
Authors
5
Name
Order
Citations
PageRank
Roberto Hornero160367.74
Escudero Javier217427.45
Alberto Fernández35311.82
Jesús Poza45512.29
Carlos Gómez58615.72