• DocumentCode
    105009
  • Title

    Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit

  • Author

    Qi Zhao ; Edrich, Thomas ; Paschalidis, Ioannis C.

  • Author_Institution
    Div. of Syst. Eng., Boston Univ., Boston, MA, USA
  • Volume
    62
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    638
  • Lastpage
    647
  • Abstract
    Bivalirudin is a direct thrombin inhibitor used in the cardiac intensive care unit when heparin is contraindicated due to heparin-induced thrombocytopenia. Since it is not a commonly used drug, clinical experience with its dosing is sparse. In earlier work [1], we developed a dynamic system model that accurately predicts the effect of bivalirudin given dosage over time and patient physiological characteristics. This paper develops adaptive dosage controllers that regulate its effect to desired levels. To that end, and in the case that bivalirudin model parameters are available, we develop a Model Reference Control law. In the case that model parameters are unknown, an indirect Model Reference Adaptive Control scheme is applied to estimate model parameters first and then adapt the controller. Alternatively, direct Model Reference Adaptive Control is applied to adapt the controller directly without estimating model parameters first. Our algorithms are validated using actual patient data from a large hospital in the Boston area.
  • Keywords
    adaptive control; cardiology; data analysis; drug delivery systems; drugs; medical computing; medical control systems; parameter estimation; patient care; standards; adaptive bivalirudin control; adaptive dosage controller; bivalirudin dosage; bivalirudin effect prediction accuracy; bivalirudin effect regulation; bivalirudin model parameter; cardiac intensive care unit; direct model reference adaptive control application; direct thrombin inhibitor; dynamic system model; heparin contraindication; heparin-induced thrombocytopenia; indirect model reference adaptive control; model parameter estimation; model reference control law; patient data; patient physiological characteristics; unknown model parameter condition; Adaptation models; Adaptive control; Drugs; Hospitals; Nonlinear dynamical systems; Physiology; Vectors; Adaptive Control; Adaptive control; Bivalirudin; Parameter Identification; Pharmacokinetics; bivalirudin; parameter identification; pharmacokinetics;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2014.2362761
  • Filename
    6920059