Title :
Recursive estimation of systemic arterial parameters for control of an electrically actuated total artificial heart
Author :
Ruchti, Timothy L. ; Brown, Ronald H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
Abstract :
A method for recursively estimating the parameters of a model of the systemic arterial bed 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. The performance of the estimation algorithm was tested on data generated by two different models of the systemic arterial bed, using normal canine parameters. Results demonstrate the ability of the estimator to converge quickly and to track time-varying parameters
Keywords :
artificial organs; biocontrol; cardiology; parameter estimation; aortic flow; biocontrol; cardiology; recursive parameter estimation; systemic arterial bed; systole; time-varying parameters; total artificial heart; Artificial heart; Blood; Control systems; Electric motors; Fasteners; Hemodynamics; Parameter estimation; Power system modeling; Recursive estimation; System testing;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70464
