A hardware acceleration based on high-level synthesis approach for glucose-insulin analysis

• Main Authors: Daud, Nur Atikah Mohd, Mahmud, Farhanahani, Jabbar, Muhamad Hairol
• Format: Conference Proceeding
• Language: English
• Subjects: Carbohydrates; Diabetes mellitus; Glucose; Hardware; High level synthesis; Insulin; Intellectual property; Level (quantity); System on chip
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/1.4968340

In this paper, the research is focusing on Type 1 Diabetes Mellitus (T1DM). Since this disease requires a full attention on the blood glucose concentration with the help of insulin injection, it is important to have a tool that able to predict that level when consume a certain amount of carbohydrate during meal time. Therefore, to make it realizable, a Hovorka model which is aiming towards T1DM is chosen in this research. A high-level language is chosen that is C++ to construct the mathematical model of the Hovorka model. Later, this constructed code is converted into intellectual property (IP) which is also known as a hardware accelerator by using of high-level synthesis (HLS) approach which able to improve in terms of design and performance for glucose-insulin analysis tool later as will be explained further in this paper. This is the first step in this research before implementing the design into system-on-chip (SoC) to achieve a high-performance system for the glucose-insulin analysis tool.