A smart medical system for dynamic closed-loop blood glucose-insulin control

Abstract

Abstract Recent years have witnessed the rapid development of healthcare devices. The connections between patients and medical cyber-physical systems are becoming tighter and many patients have got enormous benefits from these convenient systems. Our research, mainly refer to blood glucose-insulin control system, is a hot topic in the field of connected health as the development of diabetes has attracted more and more attention during the past several decades. Mainstream methods for treating diabetes in hospitals is mainly confined to manually injecting insulin to patients, 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. Medical cyber-physical system on blood glucose-insulin control consists of three parts; CGMS (Continuous Glucose Monitoring System), insulin pump and closed-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. Closed-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 back end analysis to this system. Our simulations are based on real data from patients in Shanghai No.9 hospital. We have finally concluded that our system performs well.