An investigation of multivariable models for human response to anesthesia

Hui Hung Lin, Carolyn Beck, Joseph Nedumgottil, Marc Bloom

Research output: Contribution to journalArticlepeer-review

Abstract

The use of linear multi-input multi-output (MIMO) models was investigated to describe the relations between input anesthetic agents and surgical stimuli to the patient endpoint variables of heart rate, mean arterial pressure, and electroencephalography (EEG) signals. Comparison of the linear time-invariant model (LTI) was done with the pharmacokinetic-pharmacodynamic (PK-PD) models. The differences in measured and predicted output responses were also evaluated for the LTI and PD models.

Original languageEnglish (US)
Pages (from-to)867-868
Number of pages2
JournalProceedings of the IEEE Conference on Decision and Control
Volume1
DOIs
StatePublished - 2001

ASJC Scopus subject areas

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

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