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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2020
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sg-ntu-dr.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 |
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Engineering Teh, Hui Min Design and development of a mobile application for home-based supervised physiotherapy (A) |
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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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Wesley Tan Chee Wah |
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Wesley Tan Chee Wah Teh, Hui Min |
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Final Year Project |
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Teh, Hui Min |
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Teh, Hui Min |
title |
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_full |
Design and development of a mobile application for home-based supervised physiotherapy (A) |
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Design and development of a mobile application for home-based supervised physiotherapy (A) |
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Design and development of a mobile application for home-based supervised physiotherapy (A) |
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design and development of a mobile application for home-based supervised physiotherapy (a) |
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Nanyang Technological University |
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2020 |
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https://hdl.handle.net/10356/138871 |
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1772826740741111808 |