Modeling heart rate variability by stochastic feedback
Amaral LAN, Goldberger AL, Ivanov PC, Stanley HEComput. Phys. Commun. 121, 126 - 128 (1999)
Times cited: 12
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.