Document Detail


Application of statistical physics to heartbeat diagnosis.
MedLine Citation:
PMID:  11543157     Owner:  NASA     Status:  MEDLINE    
Abstract/OtherAbstract:
We present several recent studies based on statistical physics concepts that can be used as diagnostic tools for heart failure. We describe the scaling exponent characterizing the long-range correlations in heartbeat time series as well as the multifractal features recently discovered in heartbeat rhythm. It is found that both features, the long-range correlations and the multifractility, are weaker in cases of heart failure.
Authors:
S Havlin; L A Amaral; Y Ashkenazy; A L Goldberger; Ivanov PCh; C K Peng; H E Stanley
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Physica A     Volume:  274     ISSN:  0378-4371     ISO Abbreviation:  Physica A     Publication Date:  1999 Dec 
Date Detail:
Created Date:  2000-07-16     Completed Date:  2000-07-16     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  9890571     Medline TA:  Physica A     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  99-110     Citation Subset:  S    
Affiliation:
Department of Physics, Bar-Ilan University, Ramat-Gan, Israel. havlin@phys9.ph.biu.ac.il
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Biophysical Phenomena
Biophysics*
Death, Sudden, Cardiac / pathology*,  prevention & control
Diabetes Mellitus / pathology
Female
Fractals*
Heart Failure / diagnosis*,  pathology*,  prevention & control
Heart Rate / physiology*
Humans
Male
Mathematics
Middle Aged

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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