An investigation of multivariable models for human response to anesthesia

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

doi:10.1109/CDC.2001.980215

An investigation of multivariable models for human response to anesthesia

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

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	867-868
Number of pages	2
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	1
DOIs	https://doi.org/10.1109/CDC.2001.980215
State	Published - 2001

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

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10.1109/CDC.2001.980215

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An investigation of multivariable models for human response to anesthesia

Abstract

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