Development of type 1 diabetes mellitus blood glucose level simulation mobile application

Most diabetes mobile applications in the market right now only focused on receiving input of a diabetes patients’ previous food consumption, insulin intake and their corresponding measured blood glucose to help them manage the condition by displaying the information back in a more organized form. Th...

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Main Author: Mohamad Akbar, Asyraf Aiman
Format: Thesis
Language:English
Published: 2020
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Online Access:http://psasir.upm.edu.my/id/eprint/92812/1/FK%202021%2017%20-%20IR.pdf
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spelling my-upm-ir.928122022-06-01T07:51:06Z Development of type 1 diabetes mellitus blood glucose level simulation mobile application 2020-06 Mohamad Akbar, Asyraf Aiman Most diabetes mobile applications in the market right now only focused on receiving input of a diabetes patients’ previous food consumption, insulin intake and their corresponding measured blood glucose to help them manage the condition by displaying the information back in a more organized form. This research proposes a new application that instead process the input from the user and generate a simulation of the patient’s predicted future blood glucose level trend. The application has been developed in this study which is then compared and validated with other works. The mathematical model used has already been validated by Lehmann & Deutsch (1992), and hence in the study, the application was tested if it can replicate the simulation of clinical data used by them. The application’s simulation is slightly off due to lack of initial condition data but for the most part was close to the original simulation. The features and purpose of each section in the application was discussed with a demonstration on how the application works. This study found that although application can be used to show the trend of blood glucose from meal consumption and administration of insulin, it is not reliable enough to be able to predict with 100% accuracy of future blood glucose level with just the information from user input data. The application however, has potential as an educational tool where diabetes patient can learn about the effect of carbohydrate, insulin, and the change of these input to their blood glucose level. This was shown by a simulation of different insulin injection time using the application to show the effect it has on blood glucose level which demonstrate some of the things that T1DM patients can learn from the application. One of the limitations of the application is it does not incorporate physical activity into the simulation. Hence, it is recommended that future application to take physical activity into consideration. Further studies on glucose-insulin dynamics with physical activity is also recommended as only a few existing models for this are currently found. Medical technology Mobile apps Diabetes 2020-06 Thesis http://psasir.upm.edu.my/id/eprint/92812/ http://psasir.upm.edu.my/id/eprint/92812/1/FK%202021%2017%20-%20IR.pdf text en public masters Universiti Putra Malaysia Medical technology Mobile apps Diabetes Ismail, Mohd Halim Shah
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
advisor Ismail, Mohd Halim Shah
topic Medical technology
Mobile apps
Diabetes
spellingShingle Medical technology
Mobile apps
Diabetes
Mohamad Akbar, Asyraf Aiman
Development of type 1 diabetes mellitus blood glucose level simulation mobile application
description Most diabetes mobile applications in the market right now only focused on receiving input of a diabetes patients’ previous food consumption, insulin intake and their corresponding measured blood glucose to help them manage the condition by displaying the information back in a more organized form. This research proposes a new application that instead process the input from the user and generate a simulation of the patient’s predicted future blood glucose level trend. The application has been developed in this study which is then compared and validated with other works. The mathematical model used has already been validated by Lehmann & Deutsch (1992), and hence in the study, the application was tested if it can replicate the simulation of clinical data used by them. The application’s simulation is slightly off due to lack of initial condition data but for the most part was close to the original simulation. The features and purpose of each section in the application was discussed with a demonstration on how the application works. This study found that although application can be used to show the trend of blood glucose from meal consumption and administration of insulin, it is not reliable enough to be able to predict with 100% accuracy of future blood glucose level with just the information from user input data. The application however, has potential as an educational tool where diabetes patient can learn about the effect of carbohydrate, insulin, and the change of these input to their blood glucose level. This was shown by a simulation of different insulin injection time using the application to show the effect it has on blood glucose level which demonstrate some of the things that T1DM patients can learn from the application. One of the limitations of the application is it does not incorporate physical activity into the simulation. Hence, it is recommended that future application to take physical activity into consideration. Further studies on glucose-insulin dynamics with physical activity is also recommended as only a few existing models for this are currently found.
format Thesis
qualification_level Master's degree
author Mohamad Akbar, Asyraf Aiman
author_facet Mohamad Akbar, Asyraf Aiman
author_sort Mohamad Akbar, Asyraf Aiman
title Development of type 1 diabetes mellitus blood glucose level simulation mobile application
title_short Development of type 1 diabetes mellitus blood glucose level simulation mobile application
title_full Development of type 1 diabetes mellitus blood glucose level simulation mobile application
title_fullStr Development of type 1 diabetes mellitus blood glucose level simulation mobile application
title_full_unstemmed Development of type 1 diabetes mellitus blood glucose level simulation mobile application
title_sort development of type 1 diabetes mellitus blood glucose level simulation mobile application
granting_institution Universiti Putra Malaysia
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/92812/1/FK%202021%2017%20-%20IR.pdf
_version_ 1747813772972523520