Document Detail

Empirical mode decomposition based detrended sample entropy in electroencephalography for Alzheimer's disease.
MedLine Citation:
PMID:  22878177     Owner:  NLM     Status:  Publisher    
Quantitative electroencephalographs (qEEG) provide a potential method to objectively quantify the cortical activations in Alzheimer's disease (AD), but they are too insensitive to probe the alteration of EEG in the early AD. The sample entropy (SaEn) attempts to quantify the complex information embedded in EEG non-linearly, which fits in that EEG originates from non-linear interactions. However, a technical issue which has been ignored by most researchers is that the signal should be stationary. In order to resolve the non-stationarity of SaEn in EEG to improve the sensitivity, an empirical mode decomposition (EMD) was applied for detrending in this study. Twenty-seven AD patients (9M/18F; mean age 74.0±1.5 years) were included. Their initial Minimal Mental Status Examination was 19.3±0.7. They received the first resting-awake 30-mine EEG before the therapy. Five of them received a follow-up examination within 6 months after the therapy. The 30-s EEG data without artifacts were selected and analyzed with a new proposed method, "EMD-based detrended-SaEn" to attenuate the influence of intrinsic non-stationarity. The correlation factors in 26 AD patients showed a moderate correlation (0.361-0.523, p<0.05) between MMSE and EMD-based detrended SaEn in Fp1, Fp2, F4 and T3. There was a high correlation (Correlation coefficient=0.975, p<0.05) between the changes of MMSE and the changes of EMD-based detrended-SaEn in F7 in 5 follow-up patients. The dynamic complexity of EEG fluctuations is degraded by pathological degeneration, and EMD-based detrended SaEn provides an objective, non-invasive and non-expensive tool for evaluating and following AD patients.
Ping-Huang Tsa; Chen Lin; Jenho Tsao; Pei-Feng Lin; Pa-Chun Wang; Norden E Huang; Men-Tzung Lo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-31
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  -     ISSN:  1872-678X     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-8-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Crown Copyright © 2012. Published by Elsevier B.V. All rights reserved.
Graduate Institute of Biomedical Electronics and Bioinformations, National Taiwan University, Taipei, Taiwan; Neurology Department, National Yang-Ming University Hospital, Yi-Lan, Taiwan; Neurology Department, National Yang-Ming University School of Medicine, Taipei, Taiwan; Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chungli, Taiwan.
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