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.
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|
|Last Modified: ||28 Mar 2017 01:26|
|Identification Number: |
Actions (login required)