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[Application of fuzzy algorithms for ventilatory control during clinical anesthesia]
T Kuramoto1, S Yamashita, T Tsutsui
1Department of Anesthesia, Tane General Hospital, Osaka.
Masui. the Japanese Journal of Anesthesiology
|October 1, 1990
Summary
A computer program uses fuzzy logic and clinical experience to maintain stable carbon dioxide levels (PaCO2) during anesthesia. This tool effectively controlled PaCO2 in most patients, demonstrating its clinical usefulness.
Area of Science:
- Anesthesiology
- Biomedical Engineering
- Computational Intelligence
Context:
- Maintaining stable arterial carbon dioxide levels (PaCO2) is critical during anesthesia.
- Traditional methods rely on clinician experience, which can be variable.
- Fuzzy set theory offers a framework for incorporating subjective clinical experience into algorithms.
Purpose:
- To develop and evaluate a computer program for controlling PaCO2 during anesthesia.
- The program utilizes fuzzy set rules based on clinical experience to adjust minute ventilation.
- To assess the clinical usefulness of this fuzzy logic-based system in 30 patients.
Summary:
- A novel computer program was developed using fuzzy set rules and clinical experience to calculate minute ventilation for stable PaCO2.
- The program requires current and past end-tidal CO2, and arterial-end-tidal CO2 difference (aEDCO2) to adjust minute volume.
- Twenty-three of thirty patients achieved controlled PaCO2 within the target range (33-37 mmHg), with deviations attributed to factors like endotracheal cuff leaks or pulmonary edema.
Impact:
- The fuzzy logic-based program demonstrates potential for consistent PaCO2 control in steady anesthetized patients.
- It provides an objective tool that complements clinician expertise, improving anesthetic management.
- The system's effectiveness is highlighted, though limitations due to specific patient conditions require consideration.