dorsal/arxiv
View SchemaInference of a nonlinear stochastic model of the cardiorespiratory interaction
| Authors | V. N. Smelyanskiy, D. G. Luchinsky, A. Stefanovska, P. V. E. McClintock |
|---|---|
| Categories | |
| ArXiv ID | physics/0503040 |
| URL | https://arxiv.org/abs/physics/0503040 |
| DOI | 10.1103/PhysRevLett.94.098101 |
Abstract
A new technique is introduced to reconstruct a nonlinear stochastic model of the cardiorespiratory interaction. Its inferential framework uses a set of polynomial basis functions representing the nonlinear force governing the system oscillations. The strength and direction of coupling, and the noise intensity are simultaneously inferred from a univariate blood pressure signal, monitored in a clinical environment. The technique does not require extensive global optimization and it is applicable to a wide range of complex dynamical systems subject to noise.
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"abstract": "A new technique is introduced to reconstruct a nonlinear stochastic model of\nthe cardiorespiratory interaction. Its inferential framework uses a set of\npolynomial basis functions representing the nonlinear force governing the\nsystem oscillations. The strength and direction of coupling, and the noise\nintensity are simultaneously inferred from a univariate blood pressure signal,\nmonitored in a clinical environment. The technique does not require extensive\nglobal optimization and it is applicable to a wide range of complex dynamical\nsystems subject to noise.",
"arxiv_id": "physics/0503040",
"authors": [
"V. N. Smelyanskiy",
"D. G. Luchinsky",
"A. Stefanovska",
"P. V. E. McClintock"
],
"categories": [
"physics.data-an"
],
"doi": "10.1103/PhysRevLett.94.098101",
"title": "Inference of a nonlinear stochastic model of the cardiorespiratory interaction",
"url": "https://arxiv.org/abs/physics/0503040"
},
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