Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators
Open Access
- 1 November 2002
- journal article
- Published by American Physiological Society in American Journal of Physiology-Heart and Circulatory Physiology
- Vol. 283 (5), H1873-H1886
- https://doi.org/10.1152/ajpheart.00405.2000
Abstract
In this paper, we develop a physiological oscillator model of which the output mimics the shape of the R-R interval Poincaré plot. To validate the model, simulations of various nervous conditions are compared with heart rate variability (HRV) data obtained from subjects under each prescribed condition. For a variety of sympathovagal balances, our model generates Poincaréplots that undergo alterations strongly resembling those of actual R-R intervals. By exploiting the oscillator basis of our model, we detail the way that low- and high-frequency modulation of the sinus node translates into R-R interval Poincaré plot shape by way of simulations and analytic results. With the use of our model, we establish that the length and width of a Poincaré plot are a weighted combination of low- and high-frequency power. This provides a theoretical link between frequency-domain spectral analysis techniques and time-domain Poincaré plot analysis. We ascertain the degree to which these principles apply to real R-R intervals by testing the mathematical relationships on a set of data and establish that the principles are clearly evident in actual HRV records.Keywords
This publication has 19 references indexed in Scilit:
- Sympathovagal balance: how should we measure it?American Journal of Physiology-Heart and Circulatory Physiology, 1999
- Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in menAmerican Journal of Physiology-Heart and Circulatory Physiology, 1998
- Dynamics of spectral components of heart rate variability during changes in autonomic balance.American Journal of Physiology-Heart and Circulatory Physiology, 1998
- Poincaré Plot of Heart Rate Variability Allows Quantitative Display of Parasympathetic Nervous Activity in HumansClinical Science, 1996
- Influence of respiration on metabolic, hemodynamic, psychometric, and R-R interval power spectral parametersAmerican Journal of Physiology-Heart and Circulatory Physiology, 1995
- Pole-tracking algorithms for the extraction of time-variant heart rate variability spectral parametersIEEE Transactions on Biomedical Engineering, 1995
- Application of the Poincaré plot to heart rate variability: a new measure of functional status in heart failureAustralian and New Zealand Journal of Medicine, 1995
- Transfer function analysis of autonomic regulation. I. Canine atrial rate responseAmerican Journal of Physiology-Heart and Circulatory Physiology, 1989
- An Efficient Algorithm for Spectral Analysis of Heart Rate VariabilityIEEE Transactions on Biomedical Engineering, 1986
- Spectrum of a series of point events, generated by the integral pulse frequency modulation modelMedical & Biological Engineering & Computing, 1985