Designing and implementation of fuzzy logic based automatic system to estimate dose of anesthesia

Anesthesia is used to produce a state of unconsciousness in patients. The conventional method of anesthesia infusion requires experienced person to predict exact dose of anesthesia, which create lots of pressure on anesthesiologist. This need emerged with an urge to develop an automated system that can assist to take decision for calculating dose of anesthesia. This paper illustrates hybrid fuzzy logic based automatic anesthesia dose calculator. The system is divided into two modules. First module calculates the dose of Trapanal and second module maintains the depth of Isoflurane throughout the long lasting surgeries. For the modeling, purpose fuzzy input variables like body temperature, systolic blood pressure, diastolic blood pressure and pulse rate are obtained using sensors, while age, weight and height are taken as input from keyboard. Atmega 32 microcontroller converts analog signal from different sensors into digital values and passes it to fuzzy controller using serial communication. Fuzzy Inference System fuzzify the input, apply inference logic and defuzzify the output. Then this output is given to stepper motor which in turn rotate the knob of vaporizer containing anesthetic agent.