Title :
Estimation of system arterial parameters for control of an electrically actuated total artificial heart
Author :
Ruchti, Timothy L. ; Brown, Ronald H. ; Feng, Xin ; Jeutter, Dean C.
Author_Institution :
Marquette Univ., Milwaukee, WI, USA
Abstract :
A novel method for estimating the parameters of a model of the systemic arterial system for control of an electrically actuated total artificial heart (TAH) has been developed and tested. The parameters have physical meaning, and are estimated on the basis of noninvasive measurement of aortic flow and pressure during systole. Performance of the estimation algorithm was tested on data generated by a model of the systemic arterial bed using normal canine parameters. Results demonstrate the ability of the estimator to converge quickly and track time-varying parameters
Keywords :
artificial organs; cardiology; parameter estimation; aortic flow; aortic pressure; arterial parameters estimation; canine parameters; convergence; electrically actuated total artificial heart; noninvasive measurement; system arterial parameters; systemic arterial bed; systemic arterial system; systole; track time-varying parameters; Control systems; Convergence; Helium; Hemodynamics; Noise reduction; Noise robustness; Nonlinear dynamical systems; Nonlinear equations; Parameter estimation; Resonance light scattering;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101936
