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Advisor(s)
Abstract(s)
Balanced anaesthesia introduces the problem of drug interactions. In this article, the effect concentrations of anaesthetic and analgesic are used to model the pharmacodynamic interactions of the two drugs on the cardiovascular parameters, and on the auditory evoked potentials. An adaptive network-based fuzzy inference
system is used to model the different signals. A stimulus model is used to establish the effects of surgical stimulus on the cardiovascular parameters. This model, is constructed into a Mamdani type of fuzzy model, using the anaesthetist knowledge described by fuzzy IF-THEN rules. Clinical data is used to construct the patient model.
Description
Keywords
Biomedical systems Fuzzy logic Modelling Dynamics Interaction Rulebase systems
Citation
Nunes, C.S., M. Mahfouf, and D. Linkens (2003) A fuzzy patient model in anaesthesia. In Intelligent Control Systems and Signal Processing 2003, IFAC Proceedings Sereies, Volume 1, ed., A. E. Ruano, M. G. Ruano, and P. F. Fleming, Eds. Oxford, United Kingdom: PERGAMON-ELSEVIER SCIENCE, p. 487-492
Publisher
Pergamon-elsevier science