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iGLU 1.1: Towards a Glucose-Insulin Model based Closed Loop IoMT Framework for Automatic Insulin Control of Diabetic Patients
- Source :
- WF-IoT
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- The diet schedule and food intake effect on body glucose is the key problem of the diabetic patient. For type 1 diabetic patients, it is necessary to optimize the diet schedule and insulin regimen to control the body glucose level in the postprandial state. Hence, a closed-loop system containing insulin delivery and diet schedule is required for type 1 diabetic patients. In the current paper, a mathematical model of glucose-insulin is proposed to investigate the glucose profile along with plasma insulin level for type 1 diabetic patients. Four different and most common cases have been considered with the scheduled plan of diet and insulin regimen to simulate the glucose profile along with plasma insulin level. The glucose-insulin model was simulated using MATLAB to investigate the artificial pancreas system. The analysis includes glucose absorption parameters and net hepatic glucose balance (NHGB). The results represent that the proposed mathematical model may be useful to predict the glycaemic status of diabetic patients and personalise it as per their historical data. Index Terms—Glycemic control, Type 1 diabetes, Glucose-insulin modeling, Closed loop control system, Artificial pancreas system, Continuous glucose measurement, Insulin secretion
- Subjects :
- medicine.medical_specialty
Type 1 diabetes
Hepatic glucose
Computer science
Insulin
medicine.medical_treatment
0206 medical engineering
Glucose Measurement
02 engineering and technology
021001 nanoscience & nanotechnology
medicine.disease
020601 biomedical engineering
Artificial pancreas
Glucose absorption
Plasma insulin level
Endocrinology
Postprandial
Internal medicine
medicine
Diabetic patient
0210 nano-technology
Insulin secretion
Closed loop
Insulin regimen
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)
- Accession number :
- edsair.doi...........f616757e91f3874801db4db64bc8f93b
- Full Text :
- https://doi.org/10.1109/wf-iot48130.2020.9221132