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May facilitate cardiorespiratory modeling from routine BP signals; leaves open clinical validation before research adoption.
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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Smelyanskiy et al. (2005) studied this question.
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