Smart phone apps for respiratory sound analysis

Respiratory diseases are the biggest threat worldwide and caused tons of death and severe illness. According to the World Health Organisation (WHO), about 65 million have moderate to severe chronic obstructive pulmonary disease (COPD), which about 3 million people die each year and the numbers are i...

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Main Author: Kuah, Joan Pei Li
Other Authors: Ser Wee
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77478
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-774782023-07-07T16:18:37Z Smart phone apps for respiratory sound analysis Kuah, Joan Pei Li Ser Wee School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Respiratory diseases are the biggest threat worldwide and caused tons of death and severe illness. According to the World Health Organisation (WHO), about 65 million have moderate to severe chronic obstructive pulmonary disease (COPD), which about 3 million people die each year and the numbers are increasing (The Global Impact of Respiratory Disease, 2019). Monitoring devices have played a part in tracking vital signs and providing critical data and information to the user’s health condition. The purpose of this project is to create an android application that presents data on vital signs in an organised and insightful way. The application will display mock data stored in the database and in the proposed interface that will help users understand their own health condition. The result of this project is the simulation of a user’s experience and user journey and the presentation of data that is critical and beneficial for understanding the health condition of the individual. The visualisation of these data will be further evaluated and validated in the mobile application. The final prototype is able to retrieve data from the simulated database and present the data in the suggested format. Bachelor of Engineering (Information Engineering and Media) 2019-05-29T08:11:22Z 2019-05-29T08:11:22Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77478 en Nanyang Technological University 182 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Kuah, Joan Pei Li
Smart phone apps for respiratory sound analysis
description Respiratory diseases are the biggest threat worldwide and caused tons of death and severe illness. According to the World Health Organisation (WHO), about 65 million have moderate to severe chronic obstructive pulmonary disease (COPD), which about 3 million people die each year and the numbers are increasing (The Global Impact of Respiratory Disease, 2019). Monitoring devices have played a part in tracking vital signs and providing critical data and information to the user’s health condition. The purpose of this project is to create an android application that presents data on vital signs in an organised and insightful way. The application will display mock data stored in the database and in the proposed interface that will help users understand their own health condition. The result of this project is the simulation of a user’s experience and user journey and the presentation of data that is critical and beneficial for understanding the health condition of the individual. The visualisation of these data will be further evaluated and validated in the mobile application. The final prototype is able to retrieve data from the simulated database and present the data in the suggested format.
author2 Ser Wee
author_facet Ser Wee
Kuah, Joan Pei Li
format Final Year Project
author Kuah, Joan Pei Li
author_sort Kuah, Joan Pei Li
title Smart phone apps for respiratory sound analysis
title_short Smart phone apps for respiratory sound analysis
title_full Smart phone apps for respiratory sound analysis
title_fullStr Smart phone apps for respiratory sound analysis
title_full_unstemmed Smart phone apps for respiratory sound analysis
title_sort smart phone apps for respiratory sound analysis
publishDate 2019
url http://hdl.handle.net/10356/77478
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