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Closed-loop Insulin Infusion System Based on Machine Learning Algorithm

The insulin infusion system is an artificial pancreas, suitable for diabetic patients whose blood sugar is difficult to control and require insulin treatment. Its function is similar to the pancreas, so the system can replace the pancreas of diabetic patients who have lost its function, and under the guidance of people, the infusion system will deliver insulin to the body on time to maintain normal blood sugar levels in diabetic patients. Therefore, the development of a reliable insulin infusion system is of great significance to patients. This paper optimizes the performance of the infusion system based on the machine learning algorithm, and uses syringes with specifications of 1ml, 2ml, and 5ml to test the continuity effect of the closed-loop system infusion under the drive of stepping motors with two step angles. The results show that the use angle is a smaller stepper motor drives the closed-loop insulin infusion system to achieve better infusion continuity.