Enhanced Wearable Medical Systems for Effective Blood Glucose Control

Abstract

Wearable medical systems are prevalent in recent years. Researchers have done enormous experiments and thousands of people have got benefits from them. Wearable medical systems involve many fields, and we mainly talk about blood glucose-insulin control in this paper. The general living standards continue to improve, even though the prevalence of diabetes is dramatically rising. Current methods for treating diabetes is mainly confined to manually injecting insulin for the patient, which is inconvenient and highly expensive. Meanwhile, they are not fine-grained for doctors to accurately control insulin levels, so we try to improve the whole system for blood glucose-insulin control. Wearable medical system for blood glucose-insulin control mainly consists of three parts, Continuous Glucose Monitoring System (CGMS), insulin pump and loop control algorithm. CGSM and insulin pump have made great advances in recent years, but we are still trying to find a better method to decrease errors introduced by mechanical measurement. Loop control algorithm is vitally important and complex to study in this system. We introduce a novel algorithm which can better control blood glucose and insulin levels. To optimize this algorithm and solve storage problem, we also add big data analysis to this system. Our simulations are based on real data from 8 patients during 3 days stay in hospital. We have finally concluded that our system performs well. The research of blood control is one part of wearable medical systems which is of great significance.