Towards the Development of Intelligent Insulin Injection Controller For Diabetic Patients
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Diabetes Mellitus (DM) is a disease of the glucose-insulin regulatory system where the insulin-producing beta-cells has been damaged thereby producing none to very little insulin leaving the body with no means of regulating glucose. DM has high socioeconomic costs because it needs long term monitoring and individual care to prevent or decrease complications. Uncontrolled or poorly controlled diabetes lead to evolution or development of microvascular and macrovascular complications. It has been shown that adequate or even tight glycaemic control can prevent or delay complications and finally can reduce these complications. One of this glycaemic control is insulin therapy, meanwhile, non-adherence to the therapy due to its severe pain is prevalent among patients. In this paper, a review of research efforts towards the development of automatic insulin injection from control engineering perspective is presented. The reviewed techniques are basically a closed-loop approach, which includes PID controllers, Model Predictive Controllers and Adaptive Controller techniques using machine learning approaches.
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