Intelligent Generating Controller a Desflurane Concentration Value Which Helps to Decrease Blood Pressure

Area of Science:

• Anesthesiology
• Artificial Intelligence
• Control Systems

Background:

• Surgical stress can increase blood pressure, often managed with additional opioid doses.
• Increased opioid use may lead to adverse health effects.
• Anesthesiologists need tools to manage drug concentrations effectively during procedures.

Purpose of the Study:

• To determine optimal desflurane concentration to counteract surgical stress-induced hypertension.
• To develop an AI-based system to support anesthesiologists in selecting desflurane concentrations.
• To minimize the necessity of frequent opioid administration during anesthesia.

Main Methods:

• A fuzzy controller with a learning mechanism was developed.
• The system uses expert-defined if-then rules to build a control function.
• Algorithm testing was conducted via computer simulation, without patient involvement.

Main Results:

• Computer simulations validated the fuzzy controller's performance.
• Desflurane concentrations generated by the simulation closely matched expert-provided data.
• The system demonstrated a step-function response, indicating predictable control.

Conclusions:

• An AI-driven fuzzy controller can effectively support desflurane concentration selection for blood pressure management.
• Simulation results offer insights for anesthesia optimization.
• The system has potential as a valuable training tool for anesthesiology.