Design of Fuzzy Controller for Patients in Operation Theater

In recent days, technology develops for the application in versatile fields. Mostly, soft computing techniques enhance the technological aspects in the field of engineering and medicine. In this paper, fuzzy logic-based controller is designed to support the surgeons in operation theater. At the time of surgical operation, the anatomical parameters are to be well controlled especially blood sugar and blood pressure. It provides intelligent control applied in the field of medicine. A fuzzy logic controller for mean arterial pressure (MAP) control is considered as limit for the depth of anesthesia. The fuzzy membership functions and the linguistic rules using fuzzy logic are developed for the design. The adaptive neuro-fuzzy inference system (ANFIS) has been applied for implementation and simulation of the controller. The performance of the fuzzy logic based PID controller is found excellent in computer simulations with respect to noise tolerance, tracking ability. Simulation result is shown that the exceptional regulation of blood pressure around set-point targets is realized with application of fuzzy logic controller.

[1]  Louis C. Sheppard,et al.  Computer control of the infusion of vasoactive drugs , 2006, Annals of Biomedical Engineering.

[2]  G. Pajunen,et al.  Model reference adaptive control with constraints for postoperative blood pressure management , 1990, IEEE Transactions on Biomedical Engineering.

[3]  Mahdi Mahfouf,et al.  Generalised predictive control (GPC) in the operating theatre , 1992 .

[4]  J.S. Delapasse,et al.  Accommodation of time delay variations in automatic infusion of sodium nitroprusside , 1991, IEEE Transactions on Biomedical Engineering.

[5]  N. T. Smith,et al.  Multiple model approach to uptake and distribution of halothane: the use of an analog computer. , 1972, Computers and biomedical research, an international journal.

[6]  M. Derighetti,et al.  Feedback control in anaesthesia , 1999 .

[7]  Bernard Widrow.  Adaptive Model Control Applied to Real-Time Blood-Pressure Regulation , 1971 .

[8]  Antti J. Koivo,et al.  Microprocessor-based controller for pharmacodynamical applications , 1981 .

[9]  Antti J. Koivo,et al.  Automatic Continuous-Time Blood Pressure Control in Dogs by Means of Hypotensive Drug Injection , 1980, IEEE Transactions on Biomedical Engineering.

[10]  H. Kaufman,et al.  Multiple-model adaptive predictive control of mean arterial pressure and cardiac output , 1992, IEEE Transactions on Biomedical Engineering.

[11]  John R. Glover,et al.  Adaptive Control of Blood Pressure , 1983, IEEE Transactions on Biomedical Engineering.

[12]  S. Isaka,et al.  Control strategies for arterial blood pressure regulation , 1993, IEEE Transactions on Biomedical Engineering.

[13]  Eiko Furutani,et al.  An Automatic Control System of the Blood Pressure of Patients Under Surgical Operation , 2004 .

[14]  Robert B. Northrop,et al.  Closed-Loop Regulation of a Physiological Parmeter by an IPFM/SDC (Integral Pulse Frequency Modulated/Smith Delay Compensator) Controller , 1987, IEEE Transactions on Biomedical Engineering.