DocumentCode :
3485486
Title :
Feedback control of a rotary left ventricular assist device supporting a failing cardiovascular system
Author :
Yu Wang ; Faragallah, George ; Divo, E. ; Simaan, Marwan A.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
1137
Lastpage :
1142
Abstract :
A new feedback control system for a current-based model of the combined cardiovascular system and a rotary left ventricular assist device is presented. The system consists of a suction detection subsystem and a feedback controller subsystem. The suction detection subsystem is based on a Lagrangian Support Vector Machine model. In the absence of suction in the left ventricle, as indicated by the suction detection subsystem, the proposed feedback controller automatically adjusts the pump motor current in order to meet the blood flow requirement of the patient´s body at different physiological states. The performance of the feedback control system has been tested to show the ability to autonomously adjust the pump current, while sustaining required cardiac output and mean arterial pressure. Simulation results show that the controller can keep cardiac output and mean arterial pressure within acceptable physiologic ranges under different conditions of the patient activities. Robustness to noise of the controller is also discussed.
Keywords :
biomedical equipment; blood vessels; cardiovascular system; electric current control; electric motors; feedback; haemodynamics; medical control systems; prosthetics; pumps; support vector machines; Lagrangian support vector machine model; blood flow requirement; cardiac output; combined cardiovascular system; current-based model; failing cardiovascular system; feedback control system; mean arterial pressure; patient activities; patient body; physiologic ranges; physiological states; pump motor current; rotary left ventricular assist device; suction detection subsystem; Adaptive control; Mathematical model; Noise; Physiology; Pumps; Simulation; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6315555
Filename :
6315555
Link To Document :
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