Document Detail


Comparison of different algorithms for evaluation of respiratory sinus arrhytmia: cross-correlation function histogram analysis and regression analysis.
MedLine Citation:
PMID:  8869278     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Three algorithms for assessment of respiratory sinus arrhythmia (RSA) have been evaluated: cross-correlation function, histogram analysis and regression plot. The algorithms were tested experimentally in a group of 11 subjects. A cross-correlation function with a high time resolution (1 ms) was used for investigation of the time lag between instantaneous heart rate and respiration (CTL). This time lag was not affected by the breathing rate in a range of 8 to 29 breaths per minute. A mathematical model of CTL compared with experimental results indicates that respiratory sinus arrhythmia is probably modulated directly by the respiratory network in the brainstem rather than by a baroreflex in the range of breathing rate investigated. Histogram analysis reflects the impact of inspiration and expiration on respiratory sinus arrhythmia. For this purpose heart rate changes were separated into two distributions (inspiration-expiration). The result value (U-VAL) of the Mann-Whitney U-test reflects the impact of respiration on heart rate variability. Regression analysis of heart rate versus respiration shows that the heart rate increase is more closely coupled to inspiration than the heart rate decrease to expiration. Both, CTL and U-VAL are thought to be useful parameters for clinical investigation of RSA.
Authors:
J M Schmitz; D Claus; B Neundörfer; H O Handwerker
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Physiological research / Academia Scientiarum Bohemoslovaca     Volume:  44     ISSN:  0862-8408     ISO Abbreviation:  Physiol Res     Publication Date:  1995  
Date Detail:
Created Date:  1997-01-03     Completed Date:  1997-01-03     Revised Date:  2008-04-02    
Medline Journal Info:
Nlm Unique ID:  9112413     Medline TA:  Physiol Res     Country:  CZECH REPUBLIC    
Other Details:
Languages:  eng     Pagination:  197-203     Citation Subset:  IM    
Affiliation:
Institute of Physiology and Biocybernetics, Erlangen, Germany.
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms*
Brain Stem / physiology
Heart Rate / physiology*
Humans
Male
Models, Biological
Nerve Net / physiology
Regression Analysis
Respiration / physiology*

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


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