30 April 2003 Cardiovascular oscillations: in search of a nonlinear parametric model
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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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andriy Bandrivskyy, Andriy Bandrivskyy, Dmitry Luchinsky, Dmitry Luchinsky, Peter V.E. McClintock, Peter V.E. McClintock, Vadim Smelyanskiy, Vadim Smelyanskiy, Aneta Stefanovska, Aneta Stefanovska, Dogan Timucin, 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); doi: 10.1117/12.497056; https://doi.org/10.1117/12.497056
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