Real-Time Health Monitoring System using IoT and Mobile Applications
S. Aarthi1, R. Gayathri2
1S. Aarthi, Department of Computer Science Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2R. Gayathri, Department of Computer Science Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1100-1104 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6469048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recent improvements in technology has made it possible for us to monitor our health status using a range of devices. It is now possible to monitor blood sugar, heart rate, temperature etc. without the need for a doctor to carry out such tasks. With these advancements in technology, it is now possible to develop a simple user-friendly health monitoring system and make it available to the community. The goal of this paper is to develop a real-time smart health monitoring system using Internet of Things (IoT), that is customized to the patient’s need. The proposal includes the design of an app that would be compatible with smartphones and tablets alike. The application is used to store the user’s medical information, and additionally allows people to be added as caretakers who can monitor the user’s health through the app. The system would mirror functionalities available in equipment found in hospitals, with the added advantage of providing complex medical information in simpler terms, which is otherwise only understood by the medical staff. The proposed system uses Arduino microcontroller and sensors to monitor various health parameters.
Keywords: Internet of Things, Patient Monitoring, Health Monitoring System, Mobile Applications
Scope of the Article: Health Monitoring and Life Prediction of Structures