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

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

36 Downloads (Pure)

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.

Original language	English
Title of host publication	2023 IEEE Conference on Control Technology and Applications (CCTA)
Number of pages	8
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	2023
Pages	526-533
Article number	10252308
ISBN (Print)	979-8-3503-3545-3
ISBN (Electronic)	979-8-3503-3544-6
DOIs	https://doi.org/10.1109/CCTA54093.2023.10252308
Publication status	Published - 2023
Event	2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Duration: 16 Aug 2023 → 18 Aug 2023

Conference

Conference	2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/Territory	Barbados
City	Bridgetown
Period	16/08/2023 → 18/08/2023

Series	IEEE Conference on Control Technology and Applications (CCTA) - Proceedings
ISSN	2768-0762

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© 2023 IEEE.

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10.1109/CCTA54093.2023.10252308

Accepted author manuscriptAccepted author manuscript, 947 KBLicence: CC BY 4.0

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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",

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doi = "10.1109/CCTA54093.2023.10252308",

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Ahdab, MA , Knudsen, T , Stoustrup, J & Leth, J-J 2023, Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes. in 2023 IEEE Conference on Control Technology and Applications (CCTA) ., 10252308, IEEE (Institute of Electrical and Electronics Engineers), IEEE Conference on Control Technology and Applications (CCTA) - Proceedings, pp. 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.
2023 IEEE Conference on Control Technology and Applications (CCTA) . IEEE (Institute of Electrical and Electronics Engineers), 2023. p. 526-533 10252308 (IEEE Conference on Control Technology and Applications (CCTA) - Proceedings).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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

AU - Ahdab, Mohamad Al

AU - Knudsen, Torben

AU - Stoustrup, Jakob

AU - Leth, John-Josef

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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DO - 10.1109/CCTA54093.2023.10252308

M3 - Article in proceeding

AN - SCOPUS:85173858843

SN - 979-8-3503-3545-3

T3 - IEEE Conference on Control Technology and Applications (CCTA) - Proceedings

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BT - 2023 IEEE Conference on Control Technology and Applications (CCTA)

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023

Y2 - 16 August 2023 through 18 August 2023

ER -

Ahdab MA , Knudsen T , Stoustrup J , Leth JJ. Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes. In 2023 IEEE Conference on Control Technology and Applications (CCTA) . IEEE (Institute of Electrical and Electronics Engineers). 2023. p. 526-533. 10252308. (IEEE Conference on Control Technology and Applications (CCTA) - Proceedings). doi: 10.1109/CCTA54093.2023.10252308

Blood Glucose Reference Personalization for Subjects with Type 2 Diabetes

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