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.Official URL: http://dx.doi.org/10.1103/PhysRevLett.94.098101
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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