Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim

The rise of busy lifestyle has made it difficult for caregivers to effectively remote monitor diabetic patients when they are away from them. With recent advancement of smartphone and wearable technology, it would improve the adoption of mobile healthcare. Previous studies have shown that context-aw...

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Main Author:	Ismail Hashim, Mohd Izzat
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Application software
Online Access:	https://ir.uitm.edu.my/id/eprint/98190/1/98190.pdf
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id	my-uitm-ir.98190
record_format	uketd_dc
spelling	my-uitm-ir.981902024-08-21T23:29:57Z Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim 2019 Ismail Hashim, Mohd Izzat Application software The rise of busy lifestyle has made it difficult for caregivers to effectively remote monitor diabetic patients when they are away from them. With recent advancement of smartphone and wearable technology, it would improve the adoption of mobile healthcare. Previous studies have shown that context-aware techniques have been widely used in healthcare application. This paper introduces a context-aware android mobile application, titled LoveHealth, with smartwatch integration that would be use by diabetic patients and caregivers. The goal of this mobile application is to provide a tool for caregivers to remote monitor diabetic patients, even when they are not nearby. Context-aware algorithm is applied in this application, where a criticality reading threshold is defined, classifying the readings criticality levels. By applying this algorithm, LoveHealth is able to detect critical glucose reading, which are inputted by the patients manually, or heartrate readings captured from the patients' smartwatch, and notifies their respective caregivers, informing them that they require medical attention. Once the app has been developed, testing is done to ensure each functionality works as expected. Also, the app undergoes one-week evaluation period by real diabetic patients to get their feedback and recommendations regarding the app. 2019 Thesis https://ir.uitm.edu.my/id/eprint/98190/ https://ir.uitm.edu.my/id/eprint/98190/1/98190.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Sheikh Aljunid, Syed Ahmad
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sheikh Aljunid, Syed Ahmad
topic	Application software
spellingShingle	Application software Ismail Hashim, Mohd Izzat Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
description	The rise of busy lifestyle has made it difficult for caregivers to effectively remote monitor diabetic patients when they are away from them. With recent advancement of smartphone and wearable technology, it would improve the adoption of mobile healthcare. Previous studies have shown that context-aware techniques have been widely used in healthcare application. This paper introduces a context-aware android mobile application, titled LoveHealth, with smartwatch integration that would be use by diabetic patients and caregivers. The goal of this mobile application is to provide a tool for caregivers to remote monitor diabetic patients, even when they are not nearby. Context-aware algorithm is applied in this application, where a criticality reading threshold is defined, classifying the readings criticality levels. By applying this algorithm, LoveHealth is able to detect critical glucose reading, which are inputted by the patients manually, or heartrate readings captured from the patients' smartwatch, and notifies their respective caregivers, informing them that they require medical attention. Once the app has been developed, testing is done to ensure each functionality works as expected. Also, the app undergoes one-week evaluation period by real diabetic patients to get their feedback and recommendations regarding the app.
format	Thesis
qualification_level	Bachelor degree
author	Ismail Hashim, Mohd Izzat
author_facet	Ismail Hashim, Mohd Izzat
author_sort	Ismail Hashim, Mohd Izzat
title	Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
title_short	Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
title_full	Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
title_fullStr	Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
title_full_unstemmed	Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
title_sort	context-aware diabetic patient remote monitoring using wearable and mobile app / mohd izzat ismail hashim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/98190/1/98190.pdf
_version_	1811768894211227648

Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim

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