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The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or.pdf format to the submission email: ijpmbs@ejournal.net.
You’ll be given a paper number if your submission is successful. Your paper then will undergo peer review process, which may take approximately one and a half months under normal circumstances, three tops.
After blind peer review, you will receive the notification letter with the review result of your paper...
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The journal publishes full research papers.[Read More]
 

Model Predictive Control: Taking the Idea of Artificial Pancreas a Step forward for Diabetes Management

Rahmat Ullah Safdar, Muwahida Liaquat, Syed M. Tahir Zaidi, and Muhammad Usman Akram
Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology Islamabad, Pakistan
Abstract—Biomedical sciences have experienced growing interest from mathematicians and researchers in developing mathematical models able of mimicking the physiological characteristics of human body and its processes and designing control for the medical problems. Different biomedical modeling techniques have been developed for a variety of medical problems requiring monitoring and control, which have improved lives of people with those medical problems. Diabetes is considered as one of the most important medical problem that needs attention from research community. This paper focuses on designing an advance control technique called Linear Model Predictive Control for improving glycemic regulation for type ‘I’ diabetic patients. The glucose-insulin dynamic model in diabetic patients discussed in this paper is a four-state nonlinear model, which is linearized before applying linear control techniques. The patient model has been investigated in the paper by presenting a comparison of Linear Model Predictive Control with Proportional Integral Derivative control and State Feedback control. The results show that our proposed scheme results in improved glycemic regulation and ensures proper check on insulin infusion rate in order to avoid both hyperglycemia and hypoglycemia. All the control techniques are simulated in MATLAB and Simulink environment.
Index Terms—biomedical modeling, artificial pancreas, model predictive control, single-input-single-output, glycemic control

Cite: Rahmat Ullah Safdar, Muwahida Liaquat, Syed M. Tahir Zaidi, and Muhammad Usman Akram, "Model Predictive Control: Taking the Idea of Artificial Pancreas a Step forward for Diabetes Management," International Journal of Pharma Medicine and Biological Sciences, Vol. 10, No. 4, pp. 142-147, October 2021. doi: 10.18178/ijpmbs.10.4.142-147

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