Inference of a nonlinear stochastic model of the cardiorespiratory interaction
Data Analysis, Statistics and Probability
2009-11-11 v1
Abstract
A new technique is introduced to reconstruct a nonlinear stochastic model of the cardiorespiratory interaction. Its inferential framework uses a set of polynomial basis functions representing the nonlinear force governing the system oscillations. The strength and direction of coupling, and the noise intensity are simultaneously inferred from a univariate blood pressure signal, monitored in a clinical environment. The technique does not require extensive global optimization and it is applicable to a wide range of complex dynamical systems subject to noise.
Keywords
Cite
@article{arxiv.physics/0503040,
title = {Inference of a nonlinear stochastic model of the cardiorespiratory interaction},
author = {V. N. Smelyanskiy and D. G. Luchinsky and A. Stefanovska and P. V. E. McClintock},
journal= {arXiv preprint arXiv:physics/0503040},
year = {2009}
}
Comments
5 pages, 4 figures, 1 table. accepted for publication in Phys. Rev. Lett. 2005