Design and development of a mobile application for home-based supervised physiotherapy (A)

Physical therapy is critical for chronic disease prevention, injury treatment and post-surgery recovery. However, patients often drop out of their recovery programs because of the high costs of physiotherapy, inconvenience to visit rehabilitation centers, and low motivation to continue physiotherapy...

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Bibliographic Details
Main Author: Teh, Hui Min
Other Authors: Wesley Tan Chee Wah
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138871
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author Teh, Hui Min
author2 Wesley Tan Chee Wah
author_facet Wesley Tan Chee Wah
Teh, Hui Min
author_sort Teh, Hui Min
collection NTU
description Physical therapy is critical for chronic disease prevention, injury treatment and post-surgery recovery. However, patients often drop out of their recovery programs because of the high costs of physiotherapy, inconvenience to visit rehabilitation centers, and low motivation to continue physiotherapy. This project aims to create a mobile application that allows patients to exercise at home with the supervision of a deep learning model. It also aims to motivate patients by sending regular exercise reminders, using data analytics to track patients' progress, and allowing the exchange of patients' recovery journeys via an in-app blog. Besides, a web-application is also built for physiotherapists to monitor patients' recovery progress over time. In this project, the core backend technologies are built on NodeJS, ExpressJS, MySQL, Tensorflow, and Azure Cloud Services. This report will focus on the development of backend services for both mobile and web applications.
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spelling ntu-10356/1388712023-07-07T18:34:54Z Design and development of a mobile application for home-based supervised physiotherapy (A) Teh, Hui Min Wesley Tan Chee Wah School of Electrical and Electronic Engineering wesleytan@ntu.edu.sg Engineering Physical therapy is critical for chronic disease prevention, injury treatment and post-surgery recovery. However, patients often drop out of their recovery programs because of the high costs of physiotherapy, inconvenience to visit rehabilitation centers, and low motivation to continue physiotherapy. This project aims to create a mobile application that allows patients to exercise at home with the supervision of a deep learning model. It also aims to motivate patients by sending regular exercise reminders, using data analytics to track patients' progress, and allowing the exchange of patients' recovery journeys via an in-app blog. Besides, a web-application is also built for physiotherapists to monitor patients' recovery progress over time. In this project, the core backend technologies are built on NodeJS, ExpressJS, MySQL, Tensorflow, and Azure Cloud Services. This report will focus on the development of backend services for both mobile and web applications. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-13T07:52:41Z 2020-05-13T07:52:41Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138871 en A3010-191 application/pdf Nanyang Technological University
spellingShingle Engineering
Teh, Hui Min
Design and development of a mobile application for home-based supervised physiotherapy (A)
title Design and development of a mobile application for home-based supervised physiotherapy (A)
title_full Design and development of a mobile application for home-based supervised physiotherapy (A)
title_fullStr Design and development of a mobile application for home-based supervised physiotherapy (A)
title_full_unstemmed Design and development of a mobile application for home-based supervised physiotherapy (A)
title_short Design and development of a mobile application for home-based supervised physiotherapy (A)
title_sort design and development of a mobile application for home based supervised physiotherapy a
topic Engineering
url https://hdl.handle.net/10356/138871
work_keys_str_mv AT tehhuimin designanddevelopmentofamobileapplicationforhomebasedsupervisedphysiotherapya