IoT Based Health Monitoring System
Health is wealth. Wealth and happiness are earned by having a healthy mind and body. However, people nowadays do not have much free time to keep track of their health status. Thus, a health monitoring system that automatically tracks and alarm the users about their health status is needed. Rapid imp...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
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| Online Access: | http://eprints.utar.edu.my/4040/1/3E_1501917_FYP_report_%2D_CHEE_YUAN_LIM.pdf http://eprints.utar.edu.my/4040/ |
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| Summary: | Health is wealth. Wealth and happiness are earned by having a healthy mind and body. However, people nowadays do not have much free time to keep track of their health status. Thus, a health monitoring system that automatically tracks and alarm the users about their health status is needed. Rapid improvement of the internet and technology, such as the Internet of Things allows the health monitoring system to be improved. The internet of things allows communication between machines and programmed actions to be triggered automatically, which makes the system to be more efficient. The traditional health monitoring system requires regular visitation of patients to doctors to check their health status. However, with the implementation of the internet of things in the health monitoring system, the health monitoring processes can be automated and helps the patient to save their precious time. Besides, the cloud that revolutionized data changing aids in the efforts of making a better and more reliable health monitoring system. The health data can be stored and visualized in real-time. In this project, a NodeMCU is used as a gateway to collect the health data of the user, and a Raspberry Pi 3 Model B+ broker is used as the central processing unit that processes all the received data. The broker receives health data from the gateway and process the data. The system is capable of tracking the location of the user by using the Google geolocation service. The health data and location of the user are visualized in the Thingsboard visualization platform in real-time. Several experiments and tests, such as accuracy test and error analysis were conducted on the proposed system, and encouraging results were obtained. |
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