New Insights into the Relationship Between Poincare Plot Geometry and Linear Measures of Heart Rate Variability

Abstract

The Poincare plot is an emerging Heart Rate Variability (HRV) analysis technique, the geometry of which has been shown to distinguish between healthy and unhealthy subjects in clinical settings. The Poincare plot is able to display nonlinear aspects of the interval sequence and is therefore of interest in charactering the nonlinear aspects of HRV. The problem is, how do we quantitatively characterize the geometry, of the plot to capture useful descriptors that are independent of existing HRV measures? In this paper, we investigate a popular existing category of techniques and show that they measure linear aspects of the intervals which existing HRV indices already specify. The fact that these methods appear insensitive to the nonlinear characteristics of the intervals is an important finding because the Poincare plot is primarily a nonlinear technique.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411633

Entities

People

  • Marimuthu Palaniswami
  • Michael L. Brennan
  • Peter Kamen

Organizations

  • University of Melbourne

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coefficients
  • Data Science
  • Engineering
  • Equations
  • Geometry
  • Heart Rate
  • Histograms
  • Identities
  • Information Science
  • Intervals
  • Numbers
  • Power Spectra
  • Sequences
  • Standards
  • Statistics
  • Three Dimensional
  • Time Domain

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Educational Psychology