Cardiovascular oscillations: in search of a nonlinear parametric model

Andriy Bandrivskyy; Dmitry Luchinsky; Peter V.E. McClintock; Vadim Smelyanskiy; Aneta Stefanovska; Dogan Timucin

doi:10.1117/12.497056

30 April 2003 Cardiovascular oscillations: in search of a nonlinear parametric model

Andriy Bandrivskyy, Dmitry Luchinsky, Peter V.E. McClintock, Vadim Smelyanskiy, Aneta Stefanovska, Dogan Timucin

Proceedings Volume 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems; (2003) https://doi.org/10.1117/12.497056
Event: SPIE's First International Symposium on Fluctuations and Noise, 2003, Santa Fe, New Mexico, United States

Abstract

We suggest a fresh approach to the modeling of the human cardiovascular system. Taking advantage of a new Bayesian inference technique, able to deal with stochastic nonlinear systems, we show that one can estimate parameters for models of the cardiovascular system directly from measured time series. We present preliminary results of inference of parameters of a model of coupled oscillators from measured cardiovascular data addressing cardiorespiratory interaction. We argue that the inference technique offers a very promising tool for the modeling, able to contribute significantly towards the solution of a long standing challenge -- development of new diagnostic techniques based on noninvasive measurements.

Citation Download Citation

Andriy Bandrivskyy, Dmitry Luchinsky, Peter V.E. McClintock, Vadim Smelyanskiy, Aneta Stefanovska, and Dogan Timucin "Cardiovascular oscillations: in search of a nonlinear parametric model", Proc. SPIE 5110, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems, (30 April 2003); https://doi.org/10.1117/12.497056

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