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

Phyllis K. Stein, Anand Reddy

Research output: Contribution to journalReview articlepeer-review

53 Scopus citations

Abstract

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 Poincaré 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.

Original languageEnglish
Pages (from-to)210-220
Number of pages11
JournalIndian Pacing and Electrophysiology Journal
Volume5
Issue number3
StatePublished - Jul 1 2005

Keywords

  • Congestive heart failure
  • Heart rate variability
  • Non linear
  • Post myocardial infarction
  • Risk stratification

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