Modeling heart rate variability by stochastic feedback

Luís A Nunes Amaral, Ary L. Goldberger, Plamen Ch Ivanov, H. Eugene Stanley

Research output: Contribution to journalConference article

13 Scopus citations

Abstract

We consider the question of how the cardiac rhythm spontaneously self-regulates and propose a new mechanism as a possible answer. We model the neuroautonomic regulation of the heart rate as a stochastic feedback system and find that the model successfully accounts for key characteristics of cardiac variability, including the 1/f power spectrum, the functional form and scaling of the distribution of variations of the interbeat intervals, and the correlations in the Fourier phases which indicate nonlinear dynamics.

Original languageEnglish (US)
Pages (from-to)126-128
Number of pages3
JournalComputer Physics Communications
Volume121
DOIs
StatePublished - Sep 1999
EventProceedings of the 1998 Europhysics Conference on Computational Physics (CCP 1998) - Granada, Spain
Duration: Sep 2 1998Sep 5 1998

ASJC Scopus subject areas

  • Hardware and Architecture
  • Physics and Astronomy(all)

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