Identifiability of pharmacological models for online individualization

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Abstract

There is a large variability between individuals in the response to anesthetic drugs, that seriously limits the achievable performance of closed-loop controlled drug dosing. Full individualization of patient models based on early clinical response data has been suggested as a means to improve performance with maintained robustness (safety). We use estimation theoretic analysis and realization theory to characterize practical identifiability of the standard pharmacological model structure from anesthetic induction phase data and conclude that such approaches are not practically feasible.
Original languageEnglish
Title of host publication11th IFAC Symposium on Biological and Medical Systems (BMS'2021)
PublisherIFAC & Elsevier Ltd.
Number of pages6
Publication statusAccepted/In press - 2021 Jul 1
Event11th IFAC Symposium on Biological and Medical Systems - Ghent, Belgium
Duration: 2021 Sep 192021 Sep 22
https://bms2021.ugent.be/scope.html

Publication series

NameAnnual IFAC Symposium on Biological and Medical Systems
PublisherIFAC & Elsevier

Conference

Conference11th IFAC Symposium on Biological and Medical Systems
Country/TerritoryBelgium
CityGhent
Period2021/09/192021/09/22
Internet address

Subject classification (UKÄ)

  • Control Engineering

Keywords

  • Individualized anesthesia
  • Identifiability
  • Pharmacokinetic/ pharmacodynamic modeling
  • Sensitivity analysis
  • Drug delivery

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