Development of Automated Infusion System for Insulin Delivery of Glycemic Control Protocol

Exogenous insulin administration is a critical technique used to control blood glucose levels in diabetic patients and hospitalized inpatients. Closed-loop automated insulin delivery systems represent an advanced solution for achieving optimal glycemic control. The systems continuously monitor blood glucose levels and regulate insulin delivery, offering reliable blood glucose management while reducing the workload for patients and healthcare providers. In this project, a control algorithm for an automated insulin delivery system with glycemic control feedback was constructed. The glucose-insulin ICING model acts as the patient plant, simulating the glucose-insulin dynamic response using a PID controller. Simulation results demonstrated the control algorithm could maintain blood glucose concentration levels to be within the range of 4 mmol/L to 7 mmol/L. The algorithm performed best when adjusted to achieve a target blood glucose concentration of 6 mmol/L by using the shortest settling time to reach the steady-state for both blood glucose concentrations and exogenous insulin infusion. The developed system was successfully integrated through a constructed insulin infusion mechanism. Prototype testing indicated an average deviation of 0.04 ml/min.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/iecbes61011.2024.10991112
Primary Topic
Diabetes Management and Research
Type
article
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article

Development of Automated Infusion System for Insulin Delivery of Glycemic Control Protocol

Fatanah M. Suhaimi, Albert C.W. Ting, Tan Aik Aun
Diabetes Management and Research
article

Development of Automated Infusion System for Insulin Delivery of Glycemic Control Protocol

Fatanah M. Suhaimi, Albert C.W. Ting, Tan Aik Aun
article en

Abstract

Exogenous insulin administration is a critical technique used to control blood glucose levels in diabetic patients and hospitalized inpatients. Closed-loop automated insulin delivery systems represent an advanced solution for achieving optimal glycemic control. The systems continuously monitor blood glucose levels and regulate insulin delivery, offering reliable blood glucose management while reducing the workload for patients and healthcare providers. In this project, a control algorithm for an automated insulin delivery system with glycemic control feedback was constructed. The glucose-insulin ICING model acts as the patient plant, simulating the glucose-insulin dynamic response using a PID controller. Simulation results demonstrated the control algorithm could maintain blood glucose concentration levels to be within the range of 4 mmol/L to 7 mmol/L. The algorithm performed best when adjusted to achieve a target blood glucose concentration of 6 mmol/L by using the shortest settling time to reach the steady-state for both blood glucose concentrations and exogenous insulin infusion. The developed system was successfully integrated through a constructed insulin infusion mechanism. Prototype testing indicated an average deviation of 0.04 ml/min.

Universiti Sains Malaysia (MY)
Zero hunger
Openalex Percentile: Top 59%
Diabetes Management and Research
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