LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

Harald Kirchsteiger; Hajrudin Efendic; Guido Freckmann; Luigi Del Re

doi:10.1109/CDC.2014.7040486

LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

Harald Kirchsteiger, Hajrudin Efendic, Guido Freckmann, Luigi Del Re

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal which is only available for measurement at (few) irregular time samples. The method makes use of a forgetting function to be able to quickly adapt to changes in the time-delay. A simulation example and the application to blood glucose concentration data obtained from type 1 diabetic subjects, where it is of interest to estimate the time-delay of the continuous glucose measurement device, show the usefulness and effectiveness of the proposed method.

Original language	English
Article number	7040486
Pages (from-to)	6981-6986
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	2015-February
Issue number	February
DOIs	https://doi.org/10.1109/CDC.2014.7040486
Publication status	Published - 2014
Externally published	Yes
Event	2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States Duration: 15 Dec 2014 → 17 Dec 2014

Keywords

Biomedical application
LMI
Time-delay estimation

UN SDGs

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

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10.1109/CDC.2014.7040486

Cite this

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title = "LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices",

abstract = "We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal which is only available for measurement at (few) irregular time samples. The method makes use of a forgetting function to be able to quickly adapt to changes in the time-delay. A simulation example and the application to blood glucose concentration data obtained from type 1 diabetic subjects, where it is of interest to estimate the time-delay of the continuous glucose measurement device, show the usefulness and effectiveness of the proposed method.",

keywords = "Biomedical application, LMI, Time-delay estimation",

author = "Harald Kirchsteiger and Hajrudin Efendic and Guido Freckmann and {Del Re}, Luigi",

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doi = "10.1109/CDC.2014.7040486",

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note = "2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 ; Conference date: 15-12-2014 Through 17-12-2014",

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LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices. / Kirchsteiger, Harald; Efendic, Hajrudin; Freckmann, Guido et al.
In: Proceedings of the IEEE Conference on Decision and Control, Vol. 2015-February, No. February, 7040486, 2014, p. 6981-6986.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

AU - Kirchsteiger, Harald

AU - Efendic, Hajrudin

AU - Freckmann, Guido

AU - Del Re, Luigi

PY - 2014

Y1 - 2014

N2 - We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal which is only available for measurement at (few) irregular time samples. The method makes use of a forgetting function to be able to quickly adapt to changes in the time-delay. A simulation example and the application to blood glucose concentration data obtained from type 1 diabetic subjects, where it is of interest to estimate the time-delay of the continuous glucose measurement device, show the usefulness and effectiveness of the proposed method.

AB - We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal which is only available for measurement at (few) irregular time samples. The method makes use of a forgetting function to be able to quickly adapt to changes in the time-delay. A simulation example and the application to blood glucose concentration data obtained from type 1 diabetic subjects, where it is of interest to estimate the time-delay of the continuous glucose measurement device, show the usefulness and effectiveness of the proposed method.

KW - Biomedical application

KW - LMI

KW - Time-delay estimation

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U2 - 10.1109/CDC.2014.7040486

DO - 10.1109/CDC.2014.7040486

M3 - Conference article

AN - SCOPUS:84988044197

SN - 0743-1546

VL - 2015-February

SP - 6981

EP - 6986

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

IS - February

M1 - 7040486

T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014

Y2 - 15 December 2014 through 17 December 2014

ER -

LMI-based online estimation of a time-varying time-delay in continuous glucose measurement devices

Abstract

Keywords

UN SDGs

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