Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes

Mohamad Al Ahdab; Torben Knudsen; Jakob Stoustrup; John-Josef Leth

doi:10.1109/CCTA54093.2023.10252308

Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes

Mohamad Al Ahdab^*, Torben Knudsen, Jakob Stoustrup, John-Josef Leth

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

In this paper, we present two simple and novel methods for automatic personalization of target blood glucose concentration values for individuals with Type 2 Diabetes (T2D). The methods can be integrated with any insulin dosing algorithm, or used to provide an individualized reference BG concentration value for medical professionals to consider when determining long-acting insulin doses and other oral medications. The proposed methods were tested in three different simulation models, with different long-acting insulin dosing strategies, and were found to reduce instances of hypoglycemia.

Originalsprog	Engelsk
Titel	2021 IEEE Conference on Control Technology and Applications (CCTA)
Antal sider	8
Forlag	IEEE
Publikationsdato	2023
Sider	526-533
ISBN (Elektronisk)	9798350335446
DOI	https://doi.org/10.1109/CCTA54093.2023.10252308
Status	Udgivet - 2023
Begivenhed	2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Varighed: 16 aug. 2023 → 18 aug. 2023

Konference

Konference	2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Land/Område	Barbados
By	Bridgetown
Periode	16/08/2023 → 18/08/2023

Navn	2023 IEEE Conference on Control Technology and Applications, CCTA 2023

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Publisher Copyright:
© 2023 IEEE.

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10.1109/CCTA54093.2023.10252308

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title = "Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes",

abstract = "In this paper, we present two simple and novel methods for automatic personalization of target blood glucose concentration values for individuals with Type 2 Diabetes (T2D). The methods can be integrated with any insulin dosing algorithm, or used to provide an individualized reference BG concentration value for medical professionals to consider when determining long-acting insulin doses and other oral medications. The proposed methods were tested in three different simulation models, with different long-acting insulin dosing strategies, and were found to reduce instances of hypoglycemia.",

author = "Ahdab, {Mohamad Al} and Torben Knudsen and Jakob Stoustrup and John-Josef Leth",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 ; Conference date: 16-08-2023 Through 18-08-2023",

year = "2023",

doi = "10.1109/CCTA54093.2023.10252308",

language = "English",

series = "2023 IEEE Conference on Control Technology and Applications, CCTA 2023",

pages = "526--533",

booktitle = "2021 IEEE Conference on Control Technology and Applications (CCTA)",

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}

Ahdab, MA , Knudsen, T , Stoustrup, J & Leth, J-J 2023, Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes. i 2021 IEEE Conference on Control Technology and Applications (CCTA) . IEEE, 2023 IEEE Conference on Control Technology and Applications, CCTA 2023, s. 526-533, 2023 IEEE Conference on Control Technology and Applications, CCTA 2023, Bridgetown, Barbados, 16/08/2023. https://doi.org/10.1109/CCTA54093.2023.10252308

Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes. / Ahdab, Mohamad Al ; Knudsen, Torben ; Stoustrup, Jakob et al.
2021 IEEE Conference on Control Technology and Applications (CCTA) . IEEE, 2023. s. 526-533 (2023 IEEE Conference on Control Technology and Applications, CCTA 2023).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes

AU - Ahdab, Mohamad Al

AU - Knudsen, Torben

AU - Stoustrup, Jakob

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PY - 2023

Y1 - 2023

N2 - In this paper, we present two simple and novel methods for automatic personalization of target blood glucose concentration values for individuals with Type 2 Diabetes (T2D). The methods can be integrated with any insulin dosing algorithm, or used to provide an individualized reference BG concentration value for medical professionals to consider when determining long-acting insulin doses and other oral medications. The proposed methods were tested in three different simulation models, with different long-acting insulin dosing strategies, and were found to reduce instances of hypoglycemia.

AB - In this paper, we present two simple and novel methods for automatic personalization of target blood glucose concentration values for individuals with Type 2 Diabetes (T2D). The methods can be integrated with any insulin dosing algorithm, or used to provide an individualized reference BG concentration value for medical professionals to consider when determining long-acting insulin doses and other oral medications. The proposed methods were tested in three different simulation models, with different long-acting insulin dosing strategies, and were found to reduce instances of hypoglycemia.

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Y2 - 16 August 2023 through 18 August 2023

ER -

Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes

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