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Proceedings Paper

The cardiorespiratory interaction: a nonlinear stochastic model and its synchronization properties
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Paper Abstract

We address the problem of interactions between the phase of cardiac and respiration oscillatory components. The coupling between these two quantities is experimentally investigated by the theory of stochastic Markovian processes. The so-called Markov analysis allows us to derive nonlinear stochastic equations for the reconstruction of the cardiorespiratory signals. The properties of these equations provide interesting new insights into the strength and direction of coupling which enable us to divide the couplings to two parts: deterministic and stochastic. It is shown that the synchronization behaviors of the reconstructed signals are statistically identical with original one.

Paper Details

Date Published: 15 June 2007
PDF: 11 pages
Proc. SPIE 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 66020X (15 June 2007); doi: 10.1117/12.724691
Show Author Affiliations
A. Bahraminasab, Lancaster Univ. (United Kingdom)
D. Kenwright, Lancaster Univ. (United Kingdom)
A. Stefanovska, Lancaster Univ. (United Kingdom)
P. V. E. McClintock, Lancaster Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 6602:
Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems
Sergey M. Bezrukov, Editor(s)

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