Identifiability of pharmacological models for online individualization

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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
Pages (from-to)25-30
Publication statusPublished - 2021
Event11th IFAC Symposium on Biological and Medical Systems - Ghent, Belgium
Duration: 2021 Sep 192021 Sep 22

Subject classification (UKÄ)

  • Control Engineering


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


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