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Inference of a nonlinear stochastic model of the cardiorespiratory interaction.

Stefanovska, Aneta and Luchinsky, D. G. and McClintock, Peter V. E. and Smelyanskiy, V. N. (2005) Inference of a nonlinear stochastic model of the cardiorespiratory interaction. Physical Review Letters, 94 (9). 098101.

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Abstract

We reconstruct a nonlinear stochastic model of the cardiorespiratory interaction in terms of a set of polynomial basis functions representing the nonlinear force governing system oscillations. The strength and direction of coupling and noise intensity are simultaneously inferred from a univariate blood pressure signal. Our new inference technique does not require extensive global optimization, and it is applicable to a wide range of complex dynamical systems subject to noise.

Item Type: Article
Journal or Publication Title: Physical Review Letters
Additional Information: First use of Bayesian inference to build a nonlinear stochastic model of the cardio-respiratory interaction in terms of polynomial basis functions, directly from a univariate blood pressure signal. The technique is widely applicable in dynamical modelling. RAE_import_type : Journal article RAE_uoa_type : Physics
Subjects: Q Science > QC Physics
Departments: Faculty of Science and Technology > Physics
ID Code: 2281
Deposited By: ep_importer
Deposited On: 04 Apr 2008 09:03
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 16:06
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/2281

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