ERUDIT-Workshop
Fuzzy Diagnostic and Therapeutic Decision Support
11–12 May 2000, Vienna, Austria
Department of Automatic Control and Systems Engineering
The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom
e-mail: d.linkens@sheffield.ac.uk
Abstract. The automatic titration of the anaesthetic drug propofol in a closed-loop control system to maintain the depth of anaesthesia at a constant adequate level for surgery under general anaesthesia has required the development of a realistic patient model for surgical stimuli effect. Middle-Latency Auditory Evoked Potentials are used as the indicator of choice for obtaining the depth of anaesthesia from the patient using a self-organising neural network. The patient model describing surgical stimuli suppression via analgesic and anaesthetic drug administration is implemented using fuzzy logic and the decision is further improved by using a new prediction system.
(In: Adlassnig, K.-P. (ed.) Fuzzy Diagnostic and Therapeutic Decision Support. Proc. of the ERUDIT Workshop, Österreichische Computer Gesellschaft, Vienna, p.24.)