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In-Silico Works on the Control of Blood Glucose Level for Type 1 Diabetes Mellitus (T1DM) Using Improved Hovorka Equations

Ayub Md Som1, Nur Farhana Mohd Yusof1, Sherif Abdulbari Ali1, Nur’Amanina Mohd Sohadi1, Amar Mohd Maarof 1, and Noor Shafina Mohd Nor2
1.Faculty of Chemical Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
2.Paediatric Department, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Jalan
Abstract—Artificial pancreas technology has been continuously developed over the past few years. However, there are still weaknesses found in recent technology in relation to injection of insulin subcutaneously into Type 1 Diabetes Mellitus (T1DM) patient. The injection of insulin into the patient’s body must be specific, exact and precise to ensure that the blood glucose level is between normoglycemic ranges, i.e. 4.5 mmol/L to 6.0 mmol/L so as to avoid hypoglycemia and hyperglycemia episodes. Therefore, this study aims to find the optimum insulin infusion rate into the patient’s body for the blood glucose level (BGL) to be maintained at a safe glycemic range. The study mainly focuses on computer simulation in MATLAB using improved Hovorka equations coupled with an enhanced model predictive control (eMPC) as its control scheme in order to control the BGL in T1DM. Only meal disturbance factor is included and it varies in carbohydrate (CHO) intake during breakfast, lunch and dinner times. The simulation was successfully carried out and its findings indicated that the safe glycemic range was able to be reached at shorter time and maintained for a prolonged period as compared to previous workers.

Index Terms—type 1 diabetes mellitus, Hovorka model, in silico works, model predictive control

Cite: Ayub Md Som, Nur Farhana Mohd Yusof, Sherif Abdulbari Ali, Nur’Amanina Mohd Sohadi, Amar Mohd Maarof, and Noor Shafina Mohd Nor, "In-Silico Works on the Control of Blood Glucose Level for Type 1 Diabetes Mellitus (T1DM) Using Improved Hovorka Equations," International Journal of Pharma Medicine and Biological Sciences, Vol. 9, No. 4, pp. 144-151, October 2020. doi: 10.18178/ijpmbs.9.4.144-151

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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