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Transactions of the Institute of Measurement and Control
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Fuzzy logic in anaesthesia

D.A. Linkens

Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

D.G. Mason

Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

M.F. Abbod

Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

J.S. Shieh

Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK

The development of on-line drug administration strategies in operating theatres represents a highly safety-critical situation. The usefulness of different levels of simulation prior to clinical trials has been shown in previous studies in anaesthesia. Thus, in earlier work on pole-placement self-tuning for muscle relaxation, a dual computer real-time simulation was undertaken, subsequent to algorithm validation via off-line simulation. In the present work, supervised fuzzy rule-based control algorithms are being used. The control software was implemented on the actual machine to be used in theatre, while another computer acted as a real-time patient simulator. It provides a fast design and simulation environment for safety-critical validation. The resultant validated controllers are now being used clinically.

Key Words: Anaesthesia • fuzzy supervisory control • fault detection.

Transactions of the Institute of Measurement and Control, Vol. 18, No. 5, 238-246 (1996)
DOI: 10.1177/014233129601800502
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