A new approach in drug delivery control in anesthesia

The use of intravenous drugs in general anesthesia is increasingly popular. Because of relatively precise injection rate, the goal of consistent control is possible. Because of using different drugs in full anesthesia for adequate hypnosis, analgesia and muscle relaxation, the interaction between drugs is more considerable especially when intravenous drugs are used. In this paper we use a developed Pharmacokinetic-Pharmacodynamic model which considers the interaction between two more popular intravenous drugs, Propofol for hypnosis and Remifentanil as an analgesic drug, to design a closed-loop system. The Radial Basis Function (RBF) controller as an adaptive neural controller was designed and adaptive properties of this structure in confront of variations in model parameters values was investigated. Trying to improve the tracking performance, one of most popular methods in hybrid control, Feedback Error Learning (FEL), was utilized.