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    Rights statement: Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.724691

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

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The cardiorespiratory interaction : a nonlinear stochastic model and its synchronization properties. / Bahraminasab, Alireza; Kenwright, David; Stefanovska, Aneta; McClintock, Peter V. E.

In: Proceedings of SPIE, Vol. 6602, 66020X, 2007.

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@article{f41b4ac45f4248979929e516f03c00b7,
title = "The cardiorespiratory interaction: a nonlinear stochastic model and its synchronization properties",
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.",
author = "Alireza Bahraminasab and David Kenwright and Aneta Stefanovska and McClintock, {Peter V. E.}",
note = "Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.724691",
year = "2007",
doi = "10.1117/12.724691",
language = "English",
volume = "6602",
journal = "Proceedings of SPIE",
issn = "0277-786X",
publisher = "SPIE",

}

RIS

TY - JOUR

T1 - The cardiorespiratory interaction

T2 - a nonlinear stochastic model and its synchronization properties

AU - Bahraminasab, Alireza

AU - Kenwright, David

AU - Stefanovska, Aneta

AU - McClintock, Peter V. E.

N1 - Copyright 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. http://dx.doi.org/10.1117/12.724691

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

U2 - 10.1117/12.724691

DO - 10.1117/12.724691

M3 - Journal article

VL - 6602

JO - Proceedings of SPIE

JF - Proceedings of SPIE

SN - 0277-786X

M1 - 66020X

ER -