Paper
15 June 2007 The cardiorespiratory interaction: a nonlinear stochastic model and its synchronization properties
Author Affiliations +
Proceedings Volume 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems; 66020X (2007) https://doi.org/10.1117/12.724691
Event: SPIE Fourth International Symposium on Fluctuations and Noise, 2007, Florence, Italy
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. Bahraminasab, D. Kenwright, A. Stefanovska, and P. V. E. McClintock "The cardiorespiratory interaction: a nonlinear stochastic model and its synchronization properties", Proc. SPIE 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 66020X (15 June 2007); https://doi.org/10.1117/12.724691
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KEYWORDS
Stochastic processes

Oscillators

Diffusion

Signal processing

Heart

Electrocardiography

Mode locking

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