Controlling an Anaesthetic Agent by Means of Fuzzy Inductive Reasoning

Keywords

Abstract

The control of depth of anaesthesia is a difficult undertaking. Progress has been made during past years by use of different methodologies and monitoring systems that suggest the safe amount of anaesthetic drug, considering the condition of an individual patient. Despite these improvements, anaesthetists still rely heavily on personal experience (gut feeling) when suggesting the anaesthetic dosage during surgical operations. The purpose of this paper is to describe an anaesthetic agent control system using a new qualitative modeling and simulation methodology called fuzzy inductive reasoning.

The paper also makes a comparision between the Neural Network approach and the Fuzzy Inductive Reasoning technique when applied to biomedical applications.

Interested in reading the full paper? (12 pages, 532,438 bytes, pdf)

Homepage

Last modified: January 19, 2006 -- © François Cellier