• IEEE Trans Biomed Eng · Nov 2004

    Clinical Trial

    On the use of multivariable piecewise-linear models for predicting human response to anesthesia.

    • Hui-Hing Lin, Carolyn L Beck, and Marc J Bloom.
    • Department of Mechanical and Industrial Engineering, University of Illinois, Urbana, IL 61801, USA.
    • IEEE Trans Biomed Eng. 2004 Nov 1; 51 (11): 1876-87.

    AbstractThe standard modeling paradigm used to describe the relationship between input anesthetic agents and output patient endpoint variables are single-input single-output pharmacokinetic-pharmacodynamic (PK-PD) compartment models. In this paper, we propose the use of multivariable piecewise-linear models to describe the relations between inputs that include anesthesia, surgical stimuli and disturbances to a variety of patient output variables. Subspace identification methods are applied to clinical data to construct the models. A comparison of predicted and measured responses is completed, which includes predictions from PK-PD models, and piecewise-linear time-invariant models.

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