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
Link To Document :
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