Development of an expert system advisor for anaesthetic control.
A review is given of numerous approaches which have been taken to provide automated control of depth of anaesthesia. Most of these approaches use a single indicator for anaesthetic state, and do not perform adequately for such a complex system. It is desirable, therefore, to merge a number of qualitative clinical signs and quantitative on-line measurements to provide decision-support for control of anaesthetic depth. The paper describes such an expert system called Resac (Real time Expert System for Advice and Control). Details of the knowledge representation and inference structure are given, together with the method adopted for propagating uncertainty measures, combining fuzzy information and merging quantitative and qualitative indicators. The importance of good human machine interface design is shown via the GEM-based graphics of Resac.
Greenhow
S G
SG
Department of Automatic Control and Systems Engineering, University of Sheffield, England, UK.
Linkens
D A
DA
Asbury
A J
AJ
D000776:Anesthesiology / Q000295:instrumentation*; D001499:Bayes Theorem; D001794:Blood Pressure / Q000502:physiology; D004569:Electroencephalography; D005103:Expert Systems; D009862:Online Systems; D012985:Software Design; D014584:User-Computer Interface