Title :
Hypertension control during anesthesia. Fuzzy logic regulation of nicardipine infusion
Author :
Oshita, Shuzo ; Nakakimura, Kozuhiko ; Sakabe, Takefumi
Author_Institution :
Dept. of Anesthesiology, Yamaguchi Univ., Ube, Japan
Abstract :
In the present study, the authors used nicardipine as the hypotensive drug, and determined its infusion rate based on the state-action diagram of fuzzy control rules, that the authors developed, to evaluate the concept of Zadeh´s fuzzy logic controller. The authors then developed an automated blood pressure control system based on a fuzzy expert system, and evaluated its clinical efficacy and safety. The main characteristic of a fuzzy logic controller is that its action is very close to human judgement. It was concluded that the state-action diagram and the automated blood pressure controller, both of which were made possible with the concept of Zadeh´s fuzzy logic control rules, are satisfactory and safe methods of administering nicardipine.<>
Keywords :
biocontrol; fuzzy logic; haemodynamics; pressure control; Zadeh´s fuzzy logic controller; anesthesia; automated blood pressure controller; fuzzy logic regulation; hypertension control; hypotensive drug; nicardipine infusion; state-action diagram; Anesthesia; Automatic control; Blood pressure; Control systems; Drugs; Fuzzy control; Fuzzy logic; Hybrid intelligent systems; Hypertension; Pressure control;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE