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Vol.1 , No. 6, Publication Date: Jan. 21, 2016, Page: 93-99
 Controller&description=Current situation in operation theatre is that anaesthesiologist is monitoring different physiological parameters, judging depth of anaesthesia and regulating drug rate manually. This manual drug dosing may go overdose or under-dose, as it depends upon experience and skill of anaesthesiologist. Under-dosing causes patient to feel pain. Overdosing may lead to unconsciousness leading to death. Automatic drug dosing will help anaesthesiologist to focus on more critical issues such as blood loss etc. In this focus, anaesthesia, when thought of as a multivariate, non-linear, and complex process fraught with uncertainties and handled by experts, can be mapped using fuzzy logic. A proportional integral derivative (PID) controller has proved useful in all types of industries. A novel approach is proposed involving a fuzzy inference system, which monitors the status of the patient, coupled with a PID controller, for closed-loop control of intravenous anaesthesia. By automating anaesthesia, ultimately total amount of drug infused is reduced and hence it results into fast recovery. One more advantage of automating it is that post anaesthesia side-effects will be reduced. A simulation with ten virtual patients showed that the proposed approach offered reliable control of the process and tracked input signals accurately despite the variations from patient to patient and disturbances to the system.&picture=http://www.aascit.org/aascit/decorators/img/journal/893.jpg)
| [1] | Kalyani Bhole, Department of Instrumentation and Control, College of Engineering, Pune, India. |
| [2] | Sudhir Agashe, Department of Instrumentation and Control, College of Engineering, Pune, India. |
Current situation in operation theatre is that anaesthesiologist is monitoring different physiological parameters, judging depth of anaesthesia and regulating drug rate manually. This manual drug dosing may go overdose or under-dose, as it depends upon experience and skill of anaesthesiologist. Under-dosing causes patient to feel pain. Overdosing may lead to unconsciousness leading to death. Automatic drug dosing will help anaesthesiologist to focus on more critical issues such as blood loss etc. In this focus, anaesthesia, when thought of as a multivariate, non-linear, and complex process fraught with uncertainties and handled by experts, can be mapped using fuzzy logic. A proportional integral derivative (PID) controller has proved useful in all types of industries. A novel approach is proposed involving a fuzzy inference system, which monitors the status of the patient, coupled with a PID controller, for closed-loop control of intravenous anaesthesia. By automating anaesthesia, ultimately total amount of drug infused is reduced and hence it results into fast recovery. One more advantage of automating it is that post anaesthesia side-effects will be reduced. A simulation with ten virtual patients showed that the proposed approach offered reliable control of the process and tracked input signals accurately despite the variations from patient to patient and disturbances to the system.
Keywords
Fuzzy Logic, Pharmacokinetics, Pharmacodynamics
Reference
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