Document Detail


Time and frequency domain assessment of heart rate variability: a theoretical and clinical appreciation.
MedLine Citation:
PMID:  8324377     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Non-invasive techniques for assessing heart rate variability can be used either diagnostically, as in identification of autonomic neuropathy associated with diabetes mellitus or tissue rejection following cardiac transplantation, or as a prognostic indicator in coronary artery disease. The methodology is based upon calculation of successive R-R intervals from an electrocardiogram, which can then be plotted as a frequency histogram (time domain analysis), undergo power spectral analysis to yield information in the frequency domain or be applied to chaos theory. In this review, several parameters are discussed which can be derived to quantify heart rate variability in the time and frequency domains; the latter providing information on autonomic balance. In the frequency domain up to three peaks may be observed, with the peak below 0.15 Hz being mediated by sympathetic and parasympathetic activity and peaks above 0.15 Hz being of vagal origin. The effects of different physiological and pathophysiological conditions on various indices of heart rate variability, and the use of heart rate variability analysis as a pharmacological method to assess the impact of drug therapy on sympathovagal balance are discussed.
Authors:
J P Spiers; B Silke; U McDermott; R G Shanks; D W Harron
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Clinical autonomic research : official journal of the Clinical Autonomic Research Society     Volume:  3     ISSN:  0959-9851     ISO Abbreviation:  Clin. Auton. Res.     Publication Date:  1993 Apr 
Date Detail:
Created Date:  1993-08-09     Completed Date:  1993-08-09     Revised Date:  2005-11-16    
Medline Journal Info:
Nlm Unique ID:  9106549     Medline TA:  Clin Auton Res     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  145-58     Citation Subset:  IM    
Affiliation:
Department of Therapeutics and Pharmacology, Queen's University of Belfast, UK.
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MeSH Terms
Descriptor/Qualifier:
Animals
Autonomic Nervous System Diseases / diagnosis,  physiopathology*
Heart Rate / physiology*
Humans

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


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