Document Detail


Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum.
MedLine Citation:
PMID:  19669444     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
The statistical properties of heart beat intervals of 130 long-term surface electrocardiogram recordings during atrial fibrillation (AF) are investigated. We find that the distribution of interbeat intervals exhibits a characteristic exponential tail, which is absent during sinus rhythm, as tested in a corresponding control study with 72 healthy persons. The rate gamma of the exponential decay lies in the range 3-12 Hz and shows diurnal variations. It equals, up to statistical uncertainties, the level of the previously uncovered white noise part of the power spectrum, which is also characteristic for AF. The overall statistical features can be described by decomposing the intervals into two statistically independent times, where the first one is associated with a correlated process with 1/f noise characteristics, while the second one belongs to an uncorrelated process and is responsible for the exponential tail. It is suggested to use gamma as a further parameter for a better classification of AF and for the medical diagnosis. The relevance of the findings with respect to a general understanding of AF is discussed.
Authors:
Thomas Hennig; Philipp Maass; Junichiro Hayano; Stefan Heinrichs
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Publication Detail:
Type:  Journal Article     Date:  2006-12-15
Journal Detail:
Title:  Journal of biological physics     Volume:  32     ISSN:  0092-0606     ISO Abbreviation:  J Biol Phys     Publication Date:  2006 Nov 
Date Detail:
Created Date:  2009-08-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0417731     Medline TA:  J Biol Phys     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  383-92     Citation Subset:  -    
Affiliation:
Institut für Physik, Technische Universität Ilmenau, 98684, Ilmenau, Germany, thomas.hennig@tu-ilmenau.de.
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