Reference : The impact of model-based therapeutics on glucose control in an intensive care unit
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/132268
The impact of model-based therapeutics on glucose control in an intensive care unit
English
Hann, C. E. [Centre of Bio-Engineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Chase, J. G. [Centre of Bio-Engineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand]
Desaive, Thomas mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles >]
Ypma, M. F. [Control Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Netherlands]
Elfring, J. [Control Systems Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Netherlands]
Shaw, G. M. [Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand]
2008
IFMBE Proceedings
22
1570-1573
Yes
No
International
1680-0737
4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008
23 November 2008 through 27 November 2008
Antwerp
[en] Glucose control ; Integral-based parameter identification ; Intensive Care Unit ; Model-based therapeutics ; Biomedical applications ; Computation speed ; Forward simulation ; Gradient descent ; Integral method ; Integral-based identification ; Intensive care ; Model-based ; Modelling error ; Non-linear regression ; Parameter identification ; Therapy control ; Computer simulation ; Drug therapy ; Glucose ; Intensive care units ; Parameter estimation
[en] This paper investigates the impact of fast parameter identification methods, which do not require any forward simulations, on model-based glucose control, using retrospective data in the Christchurch Hospital Intensive Care Unit. The integral-based identification method has been previously clinically validated and extensively applied in a number of biomedical applications; and is a crucial element in the presented model-based therapeutics approach. Common non-linear regression and gradient descent approaches are too computationally intense and not suitable for the glucose control applications presented. The main focus in this paper is on better characterizing and understanding the importance of the integral in the formulation and the effect it has on model-based drug therapy control. As a comparison, a potentially more natural derivative formulation which has the same computation speed advantages is investigated, and is shown to go unstable with respect to modelling error which is always present clinically. The integral method remains robust. © 2009 Springer Berlin Heidelberg.
http://hdl.handle.net/2268/132268
10.1007/978-3-540-89208-3_373
81647
9783540892076

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