Study on insulin infusion estimation based on continuous blood glucose data

Weijie Wang; Shaoping Wang; Yixuan Geng; Dengao Li; Shiwei Liu

doi:10.1109/ICIEA58696.2023.10241578

Study on insulin infusion estimation based on continuous blood glucose data

Weijie Wang^*
, Shaoping Wang
, Yixuan Geng
, Dengao Li
, Shiwei Liu^*

^*此作品的通讯作者

自动化科学与电气工程学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Insulin pump is the key equipment for intensive insulin treatment of diabetes, but it often has failures such as tube blockage and leaking tubes. Such failures can lead to insufficient insulin infusions, which make it difficult for patients to lower blood glucose and endanger the health. Estimating the insulin infusion is helpful for fault diagnosis of insulin pumps. This paper proposes a method for estimating insulin infusion based on dynamic blood glucose data. Firstly, a glucose-insulin model is built based on physiological mechanisms. Secondly, a particle filter estimator is established. Finally, based on the monitored glucose data, insulin infusion is estimated dynamically. It is verified by simulation that the method can estimate the real insulin infusion rate effectively. The method has the potential to provide a path for insulin pump fault diagnosis.

源语言	英语
主期刊名	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
编辑	Wenjian Cai, Guilin Yang, Jun Qiu, Tingting Gao, Lijun Jiang, Tianjiang Zheng, Xinli Wang
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1620-1625
页数	6
ISBN（电子版）	9798350312201
DOI	https://doi.org/10.1109/ICIEA58696.2023.10241578
出版状态	已出版 - 2023
活动	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 - Ningbo, 中国期限: 18 8月 2023 → 22 8月 2023

出版系列

姓名	Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

会议

会议	18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023
国家/地区	中国
市	Ningbo
时期	18/08/23 → 22/08/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/ICIEA58696.2023.10241578

其它文件与链接

链接到 Scopus 的出版物

引用此

Wang, W., Wang, S., Geng, Y., Li, D., & Liu, S. (2023). Study on insulin infusion estimation based on continuous blood glucose data. 在 W. Cai, G. Yang, J. Qiu, T. Gao, L. Jiang, T. Zheng, & X. Wang (编辑), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 (页码 1620-1625). (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA58696.2023.10241578

Wang, Weijie ; Wang, Shaoping ; Geng, Yixuan 等. / Study on insulin infusion estimation based on continuous blood glucose data. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. 编辑 / Wenjian Cai ; Guilin Yang ; Jun Qiu ; Tingting Gao ; Lijun Jiang ; Tianjiang Zheng ; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1620-1625 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

@inproceedings{66dffe5bf2fa43df962893a4b4398d1a,

title = "Study on insulin infusion estimation based on continuous blood glucose data",

abstract = "Insulin pump is the key equipment for intensive insulin treatment of diabetes, but it often has failures such as tube blockage and leaking tubes. Such failures can lead to insufficient insulin infusions, which make it difficult for patients to lower blood glucose and endanger the health. Estimating the insulin infusion is helpful for fault diagnosis of insulin pumps. This paper proposes a method for estimating insulin infusion based on dynamic blood glucose data. Firstly, a glucose-insulin model is built based on physiological mechanisms. Secondly, a particle filter estimator is established. Finally, based on the monitored glucose data, insulin infusion is estimated dynamically. It is verified by simulation that the method can estimate the real insulin infusion rate effectively. The method has the potential to provide a path for insulin pump fault diagnosis.",

keywords = "failure diagnosis, insulin pump, particle filter",

author = "Weijie Wang and Shaoping Wang and Yixuan Geng and Dengao Li and Shiwei Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 ; Conference date: 18-08-2023 Through 22-08-2023",

year = "2023",

doi = "10.1109/ICIEA58696.2023.10241578",

language = "英语",

series = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1620--1625",

editor = "Wenjian Cai and Guilin Yang and Jun Qiu and Tingting Gao and Lijun Jiang and Tianjiang Zheng and Xinli Wang",

booktitle = "Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023",

address = "美国",

}

Wang, W, Wang, S, Geng, Y, Li, D & Liu, S 2023, Study on insulin infusion estimation based on continuous blood glucose data. 在 W Cai, G Yang, J Qiu, T Gao, L Jiang, T Zheng & X Wang (编辑), Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Institute of Electrical and Electronics Engineers Inc., 页码 1620-1625, 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023, Ningbo, 中国, 18/08/23. https://doi.org/10.1109/ICIEA58696.2023.10241578

Study on insulin infusion estimation based on continuous blood glucose data. / Wang, Weijie; Wang, Shaoping; Geng, Yixuan 等.
Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. 编辑 / Wenjian Cai; Guilin Yang; Jun Qiu; Tingting Gao; Lijun Jiang; Tianjiang Zheng; Xinli Wang. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 1620-1625 (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Study on insulin infusion estimation based on continuous blood glucose data

AU - Wang, Weijie

AU - Wang, Shaoping

AU - Geng, Yixuan

AU - Li, Dengao

AU - Liu, Shiwei

PY - 2023

Y1 - 2023

N2 - Insulin pump is the key equipment for intensive insulin treatment of diabetes, but it often has failures such as tube blockage and leaking tubes. Such failures can lead to insufficient insulin infusions, which make it difficult for patients to lower blood glucose and endanger the health. Estimating the insulin infusion is helpful for fault diagnosis of insulin pumps. This paper proposes a method for estimating insulin infusion based on dynamic blood glucose data. Firstly, a glucose-insulin model is built based on physiological mechanisms. Secondly, a particle filter estimator is established. Finally, based on the monitored glucose data, insulin infusion is estimated dynamically. It is verified by simulation that the method can estimate the real insulin infusion rate effectively. The method has the potential to provide a path for insulin pump fault diagnosis.

AB - Insulin pump is the key equipment for intensive insulin treatment of diabetes, but it often has failures such as tube blockage and leaking tubes. Such failures can lead to insufficient insulin infusions, which make it difficult for patients to lower blood glucose and endanger the health. Estimating the insulin infusion is helpful for fault diagnosis of insulin pumps. This paper proposes a method for estimating insulin infusion based on dynamic blood glucose data. Firstly, a glucose-insulin model is built based on physiological mechanisms. Secondly, a particle filter estimator is established. Finally, based on the monitored glucose data, insulin infusion is estimated dynamically. It is verified by simulation that the method can estimate the real insulin infusion rate effectively. The method has the potential to provide a path for insulin pump fault diagnosis.

KW - failure diagnosis

KW - insulin pump

KW - particle filter

UR - https://www.scopus.com/pages/publications/85173610325

U2 - 10.1109/ICIEA58696.2023.10241578

DO - 10.1109/ICIEA58696.2023.10241578

M3 - 会议稿件

AN - SCOPUS:85173610325

T3 - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

SP - 1620

EP - 1625

BT - Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

A2 - Cai, Wenjian

A2 - Yang, Guilin

A2 - Qiu, Jun

A2 - Gao, Tingting

A2 - Jiang, Lijun

A2 - Zheng, Tianjiang

A2 - Wang, Xinli

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

Y2 - 18 August 2023 through 22 August 2023

ER -

Wang W, Wang S, Geng Y, Li D, Liu S. Study on insulin infusion estimation based on continuous blood glucose data. 在 Cai W, Yang G, Qiu J, Gao T, Jiang L, Zheng T, Wang X, 编辑, Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 1620-1625. (Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023). doi: 10.1109/ICIEA58696.2023.10241578

Study on insulin infusion estimation based on continuous blood glucose data

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此