Non-linear heart rate variability and risk stratification in cardiovascular disease

Traditional time and frequency domain heart rate variability (HRV) have cardiac patients at risk of mortality post-myocardial infarction. More recently, non linear HRV has been applied to risk stratification of cardiac patients. In this review we describe studies of non linear HRV and outcome in car...

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Bibliographic Details
Published inIndian pacing and electrophysiology journal Vol. 5; no. 3; pp. 210 - 220
Main Authors Stein, Phyllis K, Reddy, Anand
Format Journal Article
LanguageEnglish
Published Netherlands Indian Pacing and Electrophysiology Group 01.07.2005
Elsevier
Subjects
congestive heart failure
heart rate variability
non linear
post myocardial infarction
Reviews
risk stratification
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Summary:Traditional time and frequency domain heart rate variability (HRV) have cardiac patients at risk of mortality post-myocardial infarction. More recently, non linear HRV has been applied to risk stratification of cardiac patients. In this review we describe studies of non linear HRV and outcome in cardiac patients. We have included studies that used the three most common non-linear indices: power law slope, the short term fractal scaling exponent and measures based on Poincare plots. We suggest that a combination of traditional and non-linear HRV may be optimal for risk stratification. Considerations in using non linear HRV in a clinical setting are described.
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ISSN:0972-6292
0972-6292