title: Model-based parameter estimation using cardiovascular response to orthostatic stress.
abstract: This paper presents a cardiovascular model that is capable of simulating the short-term (< or approximately equal to 3 min) transient hemodynamic response to gravitational stress and a gradient-based optimization method that allows for the automated estimation of model parameters from simulated or experimental data. We perform a sensitivity analysis of the transient heart rate response to determine which parameters of the model impact the heart rate dynamics significantly. We subsequently include only those parameters in the estimation routine that impact the transient heart rate dynamics substantially. We apply the estimation algorithm to both simulated and real data and showed that restriction to the 20 most important parameters does not impair our ability to match the data.
authors.affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA.
authors.forename: T
authors.initials: T
authors.lastname: Heldt
authors.forename: E B
authors.initials: EB
authors.lastname: Shim
authors.forename: R D
authors.initials: RD
authors.lastname: Kamm
authors.forename: R G
authors.initials: RG
authors.lastname: Mark
mesh_terms: D000465:Algorithms; D017704:Baroreflex / Q000502:physiology; D018493:Cardiovascular Deconditioning / Q000502:physiology; D003198:Computer Simulation; D006112:Gravitation; D018475:Head-Down Tilt; D006339:Heart Rate / Q000502:physiology*; D006439:Hemodynamics / Q000502:physiology*; D006801:Humans; D007024:Hypotension, Orthostatic / Q000503:physiopathology*; D016018:Least-Squares Analysis; D008955:Models, Cardiovascular; D016011:Normal Distribution; D011187:Posture / Q000502:physiology; D012680:Sensitivity and Specificity