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.Full text not available from this repository.
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.
|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|
|Deposited On:||04 Apr 2008 09:03|
|Last Modified:||07 Jan 2015 13:44|
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