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Simulation Software of Meal Glucose-insulin Model Matlab Download

doi: 10.1177/193229680700100303.

GIM, simulation software of meal glucose-insulin model

Affiliations

• PMID: 19885087
• PMCID: PMC2769591
• DOI: 10.1177/193229680700100303

Gratis PMC article

GIM, simulation software of meal glucose-insulin model

Chiara Dalla Homo  et al. J Diabetes Sci Technol. 2007 May .

Free PMC article

Abstract

Background: A simulation model of the glucose-insulin system in normal life conditions can exist very useful in diabetes enquiry, e.g., testing insulin infusion algorithms and conclusion support systems and assessing glucose sensor performance and patient and student training. A new meal simulation model has been proposed that incorporates state-of-the-art quantitative knowledge on glucose metabolism and its command past insulin at both organ/tissue and whole-body levels. This article presents the interactive simulation software GIM (glucose insulin model), which implements this model.

Methods: The model is implemented in MATLAB, version seven.0.1, and is designed with a windows interface that allows the user to easily simulate a 24-hour daily life of a normal, blazon ii, or type 1 diabetic field of study. A Simulink version is too bachelor. Three meals a day are considered. Both open- and closed-loop controls are available for simulating a type ane diabetic bailiwick.

Results: Software options are described in detail. Case studies are presented to illustrate the potential of the software, eastward.grand., compare a normal subject vs an insulin-resistant subject or open-loop vs closed-loop insulin infusion in blazon 1 diabetes treatment.

Conclusions: User-friendly software that implements a state-of-the-fine art physiological model of the glucose-insulin system during a meal has been presented. The GIM graphical interface makes its use extremely piece of cake for investigators without specific expertise in modeling.

Keywords: artificial pancreas; diabetes; glucose homeostasis; glucose sensors; insulin infusion organization; modeling; physiological command.

Figures

Figure i.

Scheme of the glucose–insulin control system. Continuous lines announce fluxes of textile and dashed lines control signals. In addition to plasma glucose and insulin concentration measurements, glucose fluxes (i.east., repast rate of appearance, production, utilization, and renal extraction) and insulin fluxes (i.e., secretion and degradation) are likewise shown (see text).

Figure two.

The dialog box allows the user to select the status of the field of study: Normal, Type 2 Diabetic, or Blazon i Diabetic.

Figure 3.

Normal (summit) and Blazon ii Diabetic (bottom) windows. Each window is divided into 3 sections that allow the user to set basal values of glucose concentration, insulin concentration, and glucose production (glucose clearance is calculated and displayed in the proper foursquare); to enter values of body weight and principal metabolic indices, such as peripheral and hepatic insulin sensitivity, static, and dynamic beta-cell responsivity to glucose (as pct of normal values); and to define the time of the 3 meals and the amount of glucose ingested. The window also shows buttons to start simulation, save the false profiles, or run a new subject.

Figure four.

Simulation results of a normal subject. Glucose and insulin concentrations, glucose production, glucose utilization, meal charge per unit of appearance, and insulin secretion rate are obtained with settings of Figure 3 (top).

Figure 5.

The Relieve Profiles window allows i to name the .mat file containing the saved solutions and to place it in the desired folder.

Figure half dozen.

The Type1 Diabetic window is divided into 4 sections that permit the user to prepare basal values of glucose concentration, insulin concentration, and glucose product (glucose clearance is calculated and displayed in the proper square); to enter values of body weight and principal metabolic indices, such as peripheral and hepatic insulin sensitivity (as percentage of normal values); to select if the subject is controlled in a open (left) or closed loop with a PID controller (correct); and to define the time of the three meals, the corporeality of glucose ingested, and, in example of open-loop control, the insulin dose injected earlier each meal. The window also shows buttons to get-go simulation, save the simulated profiles, or run a new subject.

Figure 7.

Simulation results of a normal subject vs an insulin-resistant subject. Glucose and insulin concentrations, glucose production, glucose utilization, repast rate of appearance, and insulin secretion rate obtained with settings of Figure iii (meridian)(blueish line) are superimposed on those obtained with the same setting but 70% lower insulin sensitivity indices (red line).

Figure eight.

Simulation results of a type 1 diabetic field of study controlled in an open loop. Glucose and insulin concentrations, glucose production, glucose utilization, meal rate of appearance, and insulin advent obtained with settings of Figure 6 (left) (blue line) are superimposed on those obtained in the same bailiwick who forgot to inject insulin before lunch (red line).

Figure 9.

Simulation results of a blazon 1 diabetic subject controlled in a closed loop with a PID controller. Glucose and insulin concentrations, glucose product, glucose utilization, repast rate of appearance, and insulin infusion are obtained with settings of Figure half-dozen (right). Hypoglycemia (red) and hyperglycemia (green line) thresholds are besides displayed.

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Simulation Software of Meal Glucose-insulin Model Matlab Download

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Source: https://pubmed.ncbi.nlm.nih.gov/19885087/

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