title: Identification of the three-element windkessel model incorporating a pressure-dependent compliance.
abstract: A new one-step computational procedure is presented for estimating the parameters of the nonlinear three-element windkessel model of the arterial system incorporating a pressure-dependent compliance. The data required are pulsatile aortic pressure and flow. The basic assumptions are a steady-state periodic regime and a purely elastic compliant element. By stating two conditions, zero mean flow and zero mean power in the compliant element, peripheral and characteristic resistances are determined through simple closed form formulas as functions of mean values of the square of aortic pressure, the square of aortic flow, and the product of aortic pressure with aortic flow. The pressure across as well as the flow through the compliant element can be then obtained so allowing the calculation of volume variation and compliance as functions of pressure. The feasibility of this method is studied by applying it to both simulated and experimental data relative to different circulatory conditions and comparing the results with those obtained by an iterative parameter optimization algorithm and with the actual values when available. The conclusion is that the proposed method appears to be effective in identifying the three-element windkessel even in the case of nonlinear compliance.
authors.affiliation: Department of Electronics Informatics and Systems (DEIS), University of Bologna, Italy.
authors.forename: A
authors.initials: A
authors.lastname: Cappello
authors.forename: G
authors.initials: G
authors.lastname: Gnudi
authors.forename: C
authors.initials: C
authors.lastname: Lamberti
mesh_terms: D000465:Algorithms; D000804:Angiotensin II / Q000494:pharmacology; D000818:Animals; D001011:Aorta / Q000187:drug effects / Q000502:physiology; D001158:Arteries / Q000187:drug effects / Q000502:physiology*; D001794:Blood Pressure / Q000502:physiology*; D003198:Computer Simulation; D004285:Dogs; D004548:Elasticity / Q000187:drug effects; D005583:Fourier Analysis; D006439:Hemodynamics / Q000187:drug effects; D006830:Hydralazine / Q000494:pharmacology; D008955:Models, Cardiovascular; D009599:Nitroprusside / Q000494:pharmacology; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D014655:Vascular Resistance / Q000502:physiology; D014783:Viscosity / Q000187:drug effects
chemical_list: D000804:Angiotensin II; D009599:Nitroprusside; D006830:Hydralazine