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Subspace-Based Model Identification of Diabetic Blood Glucose Dynamics

Cescon, Marzia LU ; Ståhl, Fredrik LU and Johansson, Rolf LU (2009) 15th IFAC Symposium on System Identification
Abstract
Diabetes Mellitus is a chronic desease characterized by the inability of the organism to autonomously regulate the blood glucose level due to insulin deficiency or resistance, thus leading to serious health damages. In order to keep tight glucose control treatment happens to be based essentially on insulin delivery. In common practice, a main limiting factor in adequate choice of insulin dosing is the lack of reliable predictions of blood glucose evolution. In this work, state-space models of various orders were investigated and evaluated for their capability of description of one diabetic subject blood glucose evolution over 24 hours. It turned out that models of low complexity are capable of detecting even abrupt changes in calibration... (More)
Diabetes Mellitus is a chronic desease characterized by the inability of the organism to autonomously regulate the blood glucose level due to insulin deficiency or resistance, thus leading to serious health damages. In order to keep tight glucose control treatment happens to be based essentially on insulin delivery. In common practice, a main limiting factor in adequate choice of insulin dosing is the lack of reliable predictions of blood glucose evolution. In this work, state-space models of various orders were investigated and evaluated for their capability of description of one diabetic subject blood glucose evolution over 24 hours. It turned out that models of low complexity are capable of detecting even abrupt changes in calibration data but they are not sufficient for validation data. Blood glucose levels could be predicted up to 30 minutes ahead on validation data. (Less)
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author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
System Identification, Biological Systems, Subspace-based Methods
conference name
15th IFAC Symposium on System Identification
external identifiers
  • Scopus:80051608308
language
English
LU publication?
yes
id
aa51668b-a9af-4f0a-ab95-5a32f8faf3a0 (old id 1625374)
date added to LUP
2010-06-30 09:07:47
date last changed
2016-10-13 04:57:08
@misc{aa51668b-a9af-4f0a-ab95-5a32f8faf3a0,
  abstract     = {Diabetes Mellitus is a chronic desease characterized by the inability of the organism to autonomously regulate the blood glucose level due to insulin deficiency or resistance, thus leading to serious health damages. In order to keep tight glucose control treatment happens to be based essentially on insulin delivery. In common practice, a main limiting factor in adequate choice of insulin dosing is the lack of reliable predictions of blood glucose evolution. In this work, state-space models of various orders were investigated and evaluated for their capability of description of one diabetic subject blood glucose evolution over 24 hours. It turned out that models of low complexity are capable of detecting even abrupt changes in calibration data but they are not sufficient for validation data. Blood glucose levels could be predicted up to 30 minutes ahead on validation data.},
  author       = {Cescon, Marzia and Ståhl, Fredrik and Johansson, Rolf},
  keyword      = {System Identification,Biological Systems,Subspace-based Methods},
  language     = {eng},
  title        = {Subspace-Based Model Identification of Diabetic Blood Glucose Dynamics},
  year         = {2009},
}