Intravenous Drug Delivery System for Blood Pressure Patient Based on Adaptive Parameter Estimation

Controlled drug delivery systems DDS's is an electromechanical system that supports the injection of a therapeutic drug intravenously into a patient's body and easily controls the infusion rate of patient's drug, blood pressure, and time of drug release. The controlled operation of mean arterial blood pressure MABP and cardiac output CO is highly desired in clinical operations. Different methods have been proposed for controlling MABP, all methods have certain disadvantages according to patient model. In this article, the authors propose blood pressure control using integral reinforcement learning based fuzzy inference systems IRLFI based on parameter estimation techniques and have compared this method in terms of integral squared error ISE, integral absolute error IAE, integral time-weighed absolute error ITAE, root mean square error RMSE, convergence time CT.

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