Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design

Harald Kirchsteiger; Giovanna Elisabeth Castillo Estrada; Stephan Pölzer; Eric Renard; Luigi del Re

Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design

Harald Kirchsteiger, Giovanna Elisabeth Castillo Estrada, Stephan Pölzer, Eric Renard, Luigi del Re

Institute of Design and Control of Mechatronical Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

A linear transfer function model comprising 4 parameters is used to describe the post-prandial breakfast excursions of a group of 10 type 1 diabetes patients who are treated with multiple daily insulin injections. The model is able to simulate the glucose concentration in blood and uses the information of carbohydrate content of the breakfast and the administered insulin injections as inputs. Additionally, a measurement of the actual blood glucose concentration at the time when the breakfast occurs is required. No additional information, in particular the use of a continuous glucose monitoring system is necessary. Based on a 3 day observational period, parameter intervals are calculated such that the measured glucose responses are inside the bounds given by the output of the model. The model together with the parameter intervals can be used for robust control design.

Original language	English
Title of host publication	Proceedings of the 18th IFAC World Congress
Number of pages	6
Publication status	Published - Sept 2011

Fields of science

203 Mechanical Engineering
202034 Control engineering
202012 Electrical measurement technology
206 Medical Engineering
202027 Mechatronics
202003 Automation
203027 Internal combustion engines
207109 Pollutant emission

JKU Focus areas

Mechatronics and Information Processing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{df0010b9ae9f49bd98b86c0ed67197eb,

title = "Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design",

abstract = "A linear transfer function model comprising 4 parameters is used to describe the post-prandial breakfast excursions of a group of 10 type 1 diabetes patients who are treated with multiple daily insulin injections. The model is able to simulate the glucose concentration in blood and uses the information of carbohydrate content of the breakfast and the administered insulin injections as inputs. Additionally, a measurement of the actual blood glucose concentration at the time when the breakfast occurs is required. No additional information, in particular the use of a continuous glucose monitoring system is necessary. Based on a 3 day observational period, parameter intervals are calculated such that the measured glucose responses are inside the bounds given by the output of the model. The model together with the parameter intervals can be used for robust control design.",

author = "Harald Kirchsteiger and {Castillo Estrada}, {Giovanna Elisabeth} and Stephan P{\"o}lzer and Eric Renard and {del Re}, Luigi",

year = "2011",

month = sep,

language = "English",

booktitle = "Proceedings of the 18th IFAC World Congress",

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T1 - Estimating Interval Process Models for Type 1 Diabetes for Robust Control Design

AU - Kirchsteiger, Harald

AU - Castillo Estrada, Giovanna Elisabeth

AU - Pölzer, Stephan

AU - Renard, Eric

AU - del Re, Luigi

PY - 2011/9

Y1 - 2011/9

N2 - A linear transfer function model comprising 4 parameters is used to describe the post-prandial breakfast excursions of a group of 10 type 1 diabetes patients who are treated with multiple daily insulin injections. The model is able to simulate the glucose concentration in blood and uses the information of carbohydrate content of the breakfast and the administered insulin injections as inputs. Additionally, a measurement of the actual blood glucose concentration at the time when the breakfast occurs is required. No additional information, in particular the use of a continuous glucose monitoring system is necessary. Based on a 3 day observational period, parameter intervals are calculated such that the measured glucose responses are inside the bounds given by the output of the model. The model together with the parameter intervals can be used for robust control design.

AB - A linear transfer function model comprising 4 parameters is used to describe the post-prandial breakfast excursions of a group of 10 type 1 diabetes patients who are treated with multiple daily insulin injections. The model is able to simulate the glucose concentration in blood and uses the information of carbohydrate content of the breakfast and the administered insulin injections as inputs. Additionally, a measurement of the actual blood glucose concentration at the time when the breakfast occurs is required. No additional information, in particular the use of a continuous glucose monitoring system is necessary. Based on a 3 day observational period, parameter intervals are calculated such that the measured glucose responses are inside the bounds given by the output of the model. The model together with the parameter intervals can be used for robust control design.

M3 - Conference proceedings

BT - Proceedings of the 18th IFAC World Congress

ER -