Simulation Study on Blood Glucose Control in Diabetics

Li, Chengwei; Hu, Ruiqiang

doi:10.1109/icbbe.2007.285

Cited by 19 publications

(19 citation statements)

References 1 publication

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“…In Puckett & Lightfoot (1995) the model developed was based on the patient's data. Based on these mathematical models many control algorithms were developed to control blood glucose (Li & Hu, 2007;Chee et al, 2003;Lam et al, 2002;Kienitz & Yoneyama, 1993). This paper takes Bergman's minimal model and includes a meal as disturbance then the controller will be simulated using PID and Fuzzy Logic Controller.…”

Section: Methodsmentioning

confidence: 99%

Blood glucose regulation using labview

Nalini

2018

IJCMS

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Diabetes mellitus (DM), commonly referred to as diabetes, is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. If not regulate the glucose level then it will cause the serious damage to heart, kidneys, eyes, and nerves. The pancreas produces insulin to absorb the glucose. In type I diabetes the pancreas does not secrete insulin to compensate this artificial pancreas will be used. The artificial pancreas will mimic the function of pancreas it consists of a sensor, controller and insulin pump. The sensor continuously monitors glucose, the amount of insulin required will be calculated using a controller then injected using insulin pump this is the function of the artificial pancreas. The food we take is converted into glucose. So, meal intake will greatly affect the glucose levels, in this paper a closed loop model is developed based on Bergman's minimal model and meal intake is introduced as a disturbance then the control action is performed using Fuzzy and PID controller using LABVIEW software. So, from this, if the glucose concentration exceeds/decreases, above/below a certain point necessary control action will be taken.

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Section: Methodsmentioning

confidence: 99%

Blood glucose regulation using labview

Nalini

2018

IJCMS

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“…To get rid of daily injection insulin and to obtain professional education about the treatment of the disease, Mamdani type fuzzy logic controller is simulated. Chengwei et al [128] discussed an IPID controller and explained some new features of it. The controller is on "silico" using the physiologic model of Hovoraka which is the best glucose-insulin dynamics model.…”

Section: Proportional Integral Derivative (Pid) Controllermentioning

confidence: 99%

Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis

Mehmood

Ahmad

Arif

et al. 2020

ASI

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This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control. Our main focus is on the T1DM that emerges due to pancreas’s failure to produce sufficient insulin due to the loss of beta cells (β-cells). We discuss various insulin administration and delivery methods including physiological methods, open-loop, and closed-loop schemes. Furthermore, we report several factors such as hyperglycemia, hypoglycemia, and many other physical factors that need to be considered while infusing insulin in human body via AP systems. We discuss three prominent control algorithms including proportional-integral- derivative (PID), fuzzy logic, and model predictive, which have been clinically evaluated and have all shown promising results. In addition, linear and non-linear insulin infusion control schemes have been formally discussed. To the best of our knowledge, this is the first work which systematically covers recent developments in the AP components with a solid foundation for future studies in the T1DM field.

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“…When plasma glucose levels are elevated, insulin emission is stimulated. It raises the level of insulin in the blood, which increases the uptake of blood glucose through the tissues (Li and Hu, 2007;Danne et al, 2011). The improved depletion of glucose from the blood and interstitial fluid leads to a decrease in glucose concentration, which consequently produces a decrease in insulin secretion.…”

Section: Blood Glucose Regulationmentioning

confidence: 99%

Automatic Glucose Insulin Regulation System-Comparison of Embedded Control Design and Harr Wavelet Method for Type-1 Diabetes

Arangasamy¹,

Sundararajan²,

Vennila³

et al. 2014

American Journal of Applied Sciences

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This article is aimed to inject insulin for type 1 diabetes using pumping the insulin with respect to meal disturbance. We have used the embedded linear parameter varying methodology controller and the final results were compared with the Harr wavelet mathematical values. In this article, there are three things we need to focus. First is the sensor values which is to be monitored from the sensors and next is the lab information. Depending on the patients test details the insulin has to be injected. The comparison of lab details with the Patients current sensor values play a vital role in determining the insulin level for a patient. Finally the feedback has to be obtained with the help of those comparisons and it has to be sent once again as a loop to the controller for later comparison and also for database information. The embedded controller is the key element for updating all the information about the patient and it will control all the parameters of the board. The experimental results shows that the proposed method has much better potential in terms of solution accuracy as 97% and better convergence speed in comparison with Haar Wavelet Model which proved 89.09% of accuracy of the assured values of our experiments.

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Simulation Study on Blood Glucose Control in Diabetics

Cited by 19 publications

References 1 publication

Blood glucose regulation using labview

Blood glucose regulation using labview

Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis

Automatic Glucose Insulin Regulation System-Comparison of Embedded Control Design and Harr Wavelet Method for Type-1 Diabetes

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