title: Non-Linear Heart Rate Variability and Risk Stratification in Cardiovascular Disease 
creator: Phyllis K, Stein
creator: Anand, Reddy
subject: Indian Pacing and Electrophysiology Journal
description: 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. 
publisher: Indian Pacing and Electrophysiology Group
contributor: Singh, Balbir
contributor: Lokhandwala, Yash
contributor: Francis, Johnson
contributor: Gupta, Anup
date: 2005-07
type: Journal (Paginated)
type: PeerReviewed
format: text/html
identifier: http://cogprints.org/4451/1/stein.htm
format: application/pdf
identifier: http://cogprints.org/4451/2/stein.pdf
identifier:   Phyllis K, Stein and Anand, Reddy  (2005) Non-Linear Heart Rate Variability and Risk Stratification in Cardiovascular Disease.  [Journal (Paginated)]     
relation: http://cogprints.org/4451/