On the use of hybrid multivariable models for predicting human response to anesthesia

Hui Hung Lin, Carolyn Beck, Marc Bloom, Jerawan Chudoung

Research output: Contribution to journalConference article

Abstract

The standard modeling paradigm used to describe the relationship between input anesthetic agents and output patient endpoint variables are single-input single-output pharmacokinetic-pharmacodynamic compartment models. In this paper, we investigate the use of hybrid multivariable models to describe the relations between inputs that include anesthesia, surgical stimuli and disturbances to a variety of patient output variables. Data-based modeling methods are employed. Simulated and measured responses are compared.

Original languageEnglish (US)
Pages (from-to)910-916
Number of pages7
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
StatePublished - Dec 1 2002
Event41st IEEE Conference on Decision and Control - Las Vegas, NV, United States
Duration: Dec 10 2002Dec 13 2002

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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