Document Detail


Survey of Poincaré indices for measuring heart rate variability.
MedLine Citation:
PMID:  16623229     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Multiple indices have been developed to characterise the nonperiodic behaviour of heart rate variability displayed in Poincaré plots, particularly with R-R interval data collected over 24hr periods. Some of these indices have been compared to statistical time-domain indices and some to spectral indices, while others have been used to separate data sets such as cardiac abnormalities. A survey of published indices for Poincaré plot analysis was made covering literature through the 1990's to the present day. Statistical time-domain indices and the surveyed Poincaré indices were used to analyse the same data set of R-R intervals that included: supine, standing, deep breathing, light exercise and recovery. This study examined these Poincaré indices and determined their correlations with time-domain indices, and investigated how the correlations are affected by analysing shorter time periods. Further investigation of the Poincaré indices that do not correlate strongly with SD or rMSSD may prove interesting in determining dynamic characteristics of cardiac nervous system activity.
Authors:
Anne-Louise Smith; Karen Reynolds
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Australasian physical & engineering sciences in medicine / supported by the Australasian College of Physical Scientists in Medicine and the Australasian Association of Physical Sciences in Medicine     Volume:  29     ISSN:  0158-9938     ISO Abbreviation:  Australas Phys Eng Sci Med     Publication Date:  2006 Mar 
Date Detail:
Created Date:  2006-04-20     Completed Date:  2006-05-18     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8208130     Medline TA:  Australas Phys Eng Sci Med     Country:  Australia    
Other Details:
Languages:  eng     Pagination:  97-101     Citation Subset:  IM    
Affiliation:
Flinders Biomedical Engineering, Flinders Medical Centre, Australia. anne-louise.smith@fmc.sa.gov.au
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Arrhythmias, Cardiac / diagnosis*
Computer Graphics
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Electrocardiography, Ambulatory / methods*
Health Status Indicators*
Heart Rate*
Humans
Models, Cardiovascular
Models, Statistical
Reproducibility of Results
Sensitivity and Specificity

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


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