• DocumentCode
    36088
  • Title

    Quantification of the Variability in Response to Propofol Administration in Children

  • Author

    van Heusden, Klaske ; Ansermino, J. Mark ; Soltesz, Kristian ; Khosravi, Samim ; West, Nicholas ; Dumont, Guy A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    60
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2521
  • Lastpage
    2529
  • Abstract
    Closed-loop control of anesthesia is expected to decrease drug dosage and wake up time while increasing patient safety and decreasing the work load of the anesthesiologist. The potential of closed-loop control in anesthesia has been demonstrated in several clinical studies. One of the challenges in the development of a closed-loop system that can be widely accepted by clinicians and regulatory authorities is the effect of interpatient variability in drug sensitivity. This system uncertainty may lead to unacceptable performance, or even instability of the closed-loop system for some individuals. The development of reliable models of the effect of anesthetic drugs and characterization of the uncertainty is, therefore, an important step in the development of a closed-loop system. Model identification from clinical data is challenging due to limited excitation and the lack of validation data. In this paper, approximate models are validated for controller design by evaluating the predictive accuracy of the closed-loop behavior. A set of 47 validated models that describe the interpatient variability in the response to propofol in children is presented. This model set can be used for robust linear controller design provided that the experimental conditions are similar to the conditions during data collection.
  • Keywords
    closed loop systems; drugs; medical control systems; paediatrics; anesthetic drugs; children; clinical data; closed-loop control system; data collection; drug dosage; drug sensitivity; interpatient variability; model identification; model set; patient safety; predictive accuracy; propofol administration response; robust linear controller design; system uncertainty; variability quantification; Anesthesia; Data models; Drugs; Indexes; Linear approximation; Noise; Predictive models; Anesthesia; robust control; system identification; Adolescent; Anesthesia; Anesthetics, Intravenous; Child; Feedback; Female; Humans; Male; Models, Biological; Nonlinear Dynamics; Propofol; Reproducibility of Results; Therapy, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2259592
  • Filename
    6508826