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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77478 |
| _version_ | 1824454900060258304 |
|---|---|
| author | Kuah, Joan Pei Li |
| author2 | Ser Wee |
| author_facet | Ser Wee Kuah, Joan Pei Li |
| author_sort | Kuah, Joan Pei Li |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:29:39Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/77478 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:29:39Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Kuah, Joan Pei Li Smart phone apps for respiratory sound analysis |
| title | 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_short | Smart phone apps for respiratory sound analysis |
| title_sort | smart phone apps for respiratory sound analysis |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/77478 |
| work_keys_str_mv | AT kuahjoanpeili smartphoneappsforrespiratorysoundanalysis |