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Cardiovascular oscillations : in search of a nonlinear parametric model.

Research output: Contribution in Book/Report/ProceedingsChapter

Published

Publication date30/04/2003
Host publicationProceedings of the Conference: Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems.
EditorsS. M. Bezrukov, H. Frauenfelder, F. Moss
Place of publicationWashington
PublisherSPIE
Pages271-281
Number of pages11
Volume5110
ISBN (Print)9780819449702
Original languageEnglish

Publication series

NameProceedings of SPIE
PublisherSPIE

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.

Bibliographic note

Cardiovascular oscillations: in search of a nonlinear parametric model (Conference Proceedings Paper)