Design and Implementation of an Open-Source and Internet-of-Things-Based Health Monitoring System
Rattachement africain : ca, pk. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Across the globe, COVID-19 had far-reaching impacts that included healthcare facilities, public health, as well as all forms of transport. Hospitals were experiencing staffing shortages at the same time as patients were experiencing healthcare issues. Consequently, even in developing countries without full access to technology, remote health monitoring became necessary. There was a greater severity of the pandemic in countries with fewer financial and technical resources. It became evident that such remote health monitoring systems that not only allowed the user to monitor their basic health information, but also to communicate that information to healthcare personnel, were essential. In this article, we present an open-source, Internet-of-Things (IoT)-based health monitoring system that is intended to mitigate the basic healthcare challenges posed by remote areas of developing countries. To facilitate remote health monitoring, an IoT server has been configured on an ESP32 chip as part of this study. The microcontroller was also connected to a Max 30100 sensor, a DHT11 sensor, and a global positioning system GPS module. As a result of this, the user is able to measure the heart rate (HR), blood oxygen level (SpO2), human body temperature, ambient temperature and humidity, as well as the location of the user. Through the internet protocol, the important vital signs can be displayed in real time on the dashboard using a private communication network. This article presents the details of a complete system design, implementation, testing, and results. Such systems can help limit the spread of infectious diseases like COVID-19.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Design and Implementation of an Open-Source and Internet-of-Things-Based Health Monitoring System
- Date Crossref
- 22/10/2023
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Memorial University of Newfoundland Department of Electrical and Computer Engineering pays non établi dans la noticeUniversité ou école supérieure
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University of Peshawar pays non établi dans la noticeUniversité ou école supérieure
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College of Home Economics pays non établi dans la noticeUniversité ou école supérieure
Department of Electrical and Computer Engineering — Memorial University of Newfoundland, University of Peshawar et College of Home Economics.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.