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Inference of a nonlinear stochastic model of the cardiorespiratory interaction
V N Smelyanskiy1, D G Luchinsky, A Stefanovska
1NASA Ames Research Center, MS 269-2, Moffett Field, CA 94035, USA.
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.
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