Synthesis of an Anaesthetic Agent Administration System Using
Fuzzy Inductive Reasoning
Keywords
- Model-based Reasoning
- Inductive Reasoning
- Fuzzy Systems
- Anaesthetic Depth
- Anaesthetic Control
Abstract
Control of the depth of anaesthesia is a difficult undertaking. Progress has
been made during recent years by use of different methodologies and monitoring
systems that suggest the safe amount of an anaesthetic drug, considering the
condition of an individual patient. Despite these improvements, anaesthetists
still rely heavily on personal experience when suggesting the anaesthetic dosage
during surgical operations. The purposes of this paper are twofold. One is
a description of the design of an anaesthetic agent control system using a
qualitative modeling and simulation methodology called Fuzzy Inductive
Reasoning (FIR). A comparison with a system developed for the same
application using a neural network approach is also presented. The second
purpose is a discussion of the problem of separating system-generic from
patient-specific behavior in the context of inductive modeling using the FIR
methodology. In order to be useful, the model generated by FIR should reflect
upon system-generic behavioral characteristics exclusively, while suppressing
patient-specific behavioral patterns. A technique based on combining knowledge
obtained from different patients is designed that makes it possible to derive a
single model characterizing a specific class of similar patients undergoing
similar operations, preserving the common characteristics of all these patients
while filtering out the specific behavioral patterns of any one of the
individual patients from whom the data were obtained.
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Last modified: June 15, 2005 -- © François Cellier