Title :
A controller for regulation of mean arterial blood pressure using optimum nitroprusside infusion rate
Author :
Behbehani, Khosrow ; Cross, Russell R.
Author_Institution :
Dept. of Biomed. Eng., Texas Univ., Arlington, TX, USA
fDate :
6/1/1991 12:00:00 AM
Abstract :
An integrating self-tuning control strategy for control of mean arterial blood pressure using sodium nitroprusside is presented. Next to robust performance, the most attractive feature of the controller is its capability to optimize the quantity of infused medication without introducing a bias in the blood pressure level, a problem that exists in some of the other adaptive control strategies that have been proposed previously. Further, the controller design requires only the knowledge of the pure delay and the order of the transfer function describing the patient´s response to the medication; it does not require that the entire transfer function be specified. The derivation of the controller is not based on the patient response to sodium nitroprusside; indeed, it is a general adaptive control strategy for control of systems with transport delay. The controller performs robustly in the presence of variations in the patient response and successfully controls the pressure at the desired level. The ability of this strategy to reduce the amount of infused medication makes it potentially attractive for use in clinical applications, as large doses or long-term use of sodium nitroprusside can adversely affect central nervous system and hematopoietic tissues.
Keywords :
biocontrol; haemodynamics; patient treatment; pressure control; haemodynamic therapy; infused medication; integrating self-tuning control strategy; mean arterial blood pressure; optimum nitroprusside infusion rate; patient response; pressure regulation controller; sodium nitroprusside; transfer function; Adaptive control; Arterial blood pressure; Blood pressure; Central nervous system; Control systems; Delay systems; Medical control systems; Pressure control; Robust control; Transfer functions; Algorithms; Blood Pressure; Computer Simulation; Equipment Design; Humans; Hypertension; Infusion Pumps; Models, Biological; Nitroprusside;
Journal_Title :
Biomedical Engineering, IEEE Transactions on