Inference of a nonlinear stochastic model of the cardiorespiratory interaction.
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.
Smelyanskiy
V N
VN
NASA Ames Research Center, MS 269-2, Moffett Field, CA 94035, USA.
Luchinsky
D G
DG
Stefanovska
A
A
McClintock
P V E
PV
D001794:Blood Pressure / Q000502:physiology; D002320:Cardiovascular Physiological Phenomena; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D013269:Stochastic Processes