IRHMP: IoT-Based Remote Health Monitoring and Prescriber System
2nd International Conference on Intelligent and Cloud Computing, ICICC 2021
; 286:97-109, 2022.
Article
in English
| Scopus | ID: covidwho-1826295
ABSTRACT
The Novel Corona Virus Disease-2019 (COVID-19), which created this pandemic, makes us realize the importance of universal social and health care systems. The frontline workers worked restlessly during the pandemic and few of them also lost their lives. There is a need for a remote IoT health monitoring system that takes care of the health of infected patients, conducts regular health checks, and reduces contact between an infected person and health workers. This especially helps the patients with mild symptoms who are home quarantined. The IoT system monitors a person 24/7 and a report can be generated and sent to the doctor at the same time. However, such a procedure will produce a large amount of data. A major research challenge addressed in this paper is to effectively transfer health care data with the help of existing network infrastructure and transfer it to the cloud. In this paper, we have identified the key network and infrastructure requirements for a standard health monitoring system based on real-time event updates, bandwidth requirements, data collection, and data analysis. After that, we propose IRHMP- IoT-based remote healthcare device that delivers health care data efficiently to the cloud and the web portal. Finally, we have proposed a machine-learning algorithm to provide and predict future health risks with the help of recorded data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Cloud; Health care; IoT; Machine learning; Predict the future health risk; Home health care; Internet of things; Learning algorithms; Portals; Remote patient monitoring; Viruses; Front-line workers; Health care datum; Health checks; Health monitoring system; Healthcare systems; Infected patients; Remote health monitoring; Virus disease; Workers'; Health risks
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2nd International Conference on Intelligent and Cloud Computing, ICICC 2021
Year:
2022
Document Type:
Article
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