Physiological control of blood pumps using intrinsic pump parameters: A computer simulation study

被引:62
作者
Giridharan, GA
Skliar, T [1 ]
机构
[1] Univ Utah, Dept Chem Engn, Salt Lake City, UT USA
[2] Univ Louisville, Cardiovasc Innovat Inst, Louisville, KY USA
关键词
ventricular assist device; rotary blood pumps; physiological control; model-based estimation;
D O I
10.1111/j.1525-1594.2006.00217.x
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Implantable flow and pressure sensors, used to control rotary blood pumps, are unreliable in the long term. It is, therefore, desirable to develop a physiological control system that depends only oil readily available measurements of the intrinsic pump parameters, such as measurements of the pump current, voltage, and speed (in revolutions per minute). A previously proposed Delta P control method of ventricular assist devices (VADs) requires the implantation of two pressure sensors to measure the pressure difference between the left ventricle and aorta. In this article, we propose a model-based method for estimating Delta P, which eliminates the need for implantable pressure sensors. The developed estimator consists of the extended Kalman filter in conjunction with the Golay-Savitzky filter. ne performance of the combined estimator-VAD controller system was evaluated in computer simulations for a broad range of physical activities and varying cardiac conditions. The results show that there was no appreciable performance degradation of the estimator-controller system compared to the case when Delta P is measured directly. The proposed approach effectively utilizes a VAD as both a pump and a differential pressure sensor, thus eliminating the need for dedicated implantable pressure and flow sensors. The simulation results show that different pump designs may not be equally effective at playing a dual role of a flow actuator and Delta P sensor.
引用
收藏
页码:301 / 307
页数:7
相关论文
共 15 条
[1]  
Choi SJ, 1997, P AMER CONTR CONF, P3714, DOI 10.1109/ACC.1997.609538
[2]   Computer simulation of sensorless fuzzy control of a rotary blood pump to assure normal physiology [J].
Fu, MH ;
Xu, LY .
ASAIO JOURNAL, 2000, 46 (03) :273-278
[3]   Modeling and control of a brushless DC axial flow ventricular assist device [J].
Giridharan, CA ;
Skliar, M ;
Olsen, DB ;
Pantalos, GM .
ASAIO JOURNAL, 2002, 48 (03) :272-289
[4]   Physiologic control of rotary blood pumps:: An in vitro study [J].
Giridharan, GA ;
Pantalos, GM ;
Gillars, KJ ;
Koenig, SC ;
Skliar, M .
ASAIO JOURNAL, 2004, 50 (05) :403-409
[5]   Control strategy for maintaining physiological perfusion with rotary blood pumps [J].
Giridharan, GA ;
Skliar, M .
ARTIFICIAL ORGANS, 2003, 27 (07) :639-648
[6]  
Giridharan GA, 2001, P AMER CONTR CONF, P3801, DOI 10.1109/ACC.2001.946231
[7]   Nonlinear controller for ventricular assist devices [J].
Giridharan, GA ;
Skliar, M .
ARTIFICIAL ORGANS, 2002, 26 (11) :980-984
[8]  
Jazwinski A.H., 2007, STOCHASTIC PROCESSES
[9]   Physical model-based indirect measurements of blood pressure and flow using a centrifugal pump [J].
Kitamura, T ;
Matsushima, Y ;
Tokuyama, T ;
Kono, F ;
Nishimura, F ;
Komeda, M ;
Yanai, M ;
Kijima, T ;
Nojiri, C .
ARTIFICIAL ORGANS, 2000, 24 (08) :589-593
[10]  
Konishi H, 1994, ASAIO J, V40, pM299, DOI 10.1097/00002480-199407000-00012