Personalization of a compartmental physiological model for an artificial pancreas through integration of patient's state estimation - Université Claude Bernard Lyon 1 Accéder directement au contenu
Article Dans Une Revue Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference Année : 2017

Personalization of a compartmental physiological model for an artificial pancreas through integration of patient's state estimation

P. Jallon
  • Fonction : Auteur
S. Lachal
  • Fonction : Auteur
C. Franco
  • Fonction : Auteur
G. Charpentier
  • Fonction : Auteur
E. Huneker
  • Fonction : Auteur
M. Doron
  • Fonction : Auteur
Sylvia Franc
Bruno Guerci
He Le Ne Hanaire
  • Fonction : Auteur
Nathalie Jeandidier
  • Fonction : Auteur
Yves Reznik
  • Fonction : Auteur
Pauline Schaepelynck
  • Fonction : Auteur

Résumé

Artificial Pancreas (AP) are developed for patients with Type 1 diabetes. This medical device system consists in the association of a subcutaneous continuous glucose monitor (CGM) providing a proxy of the patient's glycaemia and a control algorithm offering the real-time modification of the insulin delivery with an automatic command of the subcutaneous insulin pump. The most complex algorithms are based on a compartmental model of the glucoregulatory system of the patient coupled to an approach of MPC (Model-Predictive-Control) for the command. The automatic and unsupervised control of insulin regulation constitutes a major challenge in AP projects. A given model with its parameterization on the shelf will not directly represent the patient's data behavior and the personalization of the model is a prerequisite before using it in a MPC. The present paper focuses on the personalization of a compartmental showing a method where taking into account the estimation of the patient's state in addition to the parameter estimation improves the results in terms of mean quadratic error.
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Dates et versions

hal-01743307 , version 1 (26-03-2018)

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Citer

P. Jallon, S. Lachal, C. Franco, G. Charpentier, E. Huneker, et al.. Personalization of a compartmental physiological model for an artificial pancreas through integration of patient's state estimation. Conference proceedings : .. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2017, 2017, pp.1453--1456. ⟨10.1109/EMBC.2017.8037108⟩. ⟨hal-01743307⟩
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