State estimations for application in diabetes control

Annemiek van Rietschoten; T. Singh; R.J.R. Maas, van der

doi:10.1109/ACC.2015.7172138

State estimations for application in diabetes control

Annemiek van Rietschoten, T. Singh, R.J.R. Maas, van der

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

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Abstract

The aim of this work is the evaluation of two state-estimators in a glucose estimation in a diabetes control setting. Technological solutions leading to the design of an artificial pancreas heavily rely on the availability of glucose subcutaneously. Practical solutions for these measurements often suffer from significant time-delays and direct measurements of the required states is often impossible. This complicates the prediction of the required insulin dose, leading to fixed glucose intake patterns for the patient, i.e., a fixed diet at predefined times during the day. This paper describes a state-estimation approach to deal with the large time-delays, which enables relaxations of the restrictions on the patients glucose intake. Based on two models, widely used within the medical society, multiple Kalman-based filtering techniques are compared

Original language	English
Title of host publication	Proceedings of the American Control Conference (ACC), 1-3 July 2015, Chicago, Illinois
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	5122-5127
ISBN (Print)	978-1-4799-8685-9
DOIs	https://doi.org/10.1109/ACC.2015.7172138
Publication status	Published - 2015

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title = "State estimations for application in diabetes control",

abstract = "The aim of this work is the evaluation of two state-estimators in a glucose estimation in a diabetes control setting. Technological solutions leading to the design of an artificial pancreas heavily rely on the availability of glucose subcutaneously. Practical solutions for these measurements often suffer from significant time-delays and direct measurements of the required states is often impossible. This complicates the prediction of the required insulin dose, leading to fixed glucose intake patterns for the patient, i.e., a fixed diet at predefined times during the day. This paper describes a state-estimation approach to deal with the large time-delays, which enables relaxations of the restrictions on the patients glucose intake. Based on two models, widely used within the medical society, multiple Kalman-based filtering techniques are compared",

author = "{van Rietschoten}, Annemiek and T. Singh and {Maas, van der}, R.J.R.",

year = "2015",

doi = "10.1109/ACC.2015.7172138",

language = "English",

isbn = "978-1-4799-8685-9",

pages = "5122--5127",

booktitle = "Proceedings of the American Control Conference (ACC), 1-3 July 2015, Chicago, Illinois",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

State estimations for application in diabetes control. / van Rietschoten, Annemiek; Singh, T.; Maas, van der, R.J.R.
Proceedings of the American Control Conference (ACC), 1-3 July 2015, Chicago, Illinois. Piscataway: Institute of Electrical and Electronics Engineers, 2015. p. 5122-5127.

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

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AU - Singh, T.

AU - Maas, van der, R.J.R.

PY - 2015

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N2 - The aim of this work is the evaluation of two state-estimators in a glucose estimation in a diabetes control setting. Technological solutions leading to the design of an artificial pancreas heavily rely on the availability of glucose subcutaneously. Practical solutions for these measurements often suffer from significant time-delays and direct measurements of the required states is often impossible. This complicates the prediction of the required insulin dose, leading to fixed glucose intake patterns for the patient, i.e., a fixed diet at predefined times during the day. This paper describes a state-estimation approach to deal with the large time-delays, which enables relaxations of the restrictions on the patients glucose intake. Based on two models, widely used within the medical society, multiple Kalman-based filtering techniques are compared

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DO - 10.1109/ACC.2015.7172138

M3 - Conference contribution

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BT - Proceedings of the American Control Conference (ACC), 1-3 July 2015, Chicago, Illinois

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

State estimations for application in diabetes control

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