IoT-Based Smart Health Monitoring System for COVID-19 Patients.
Adult
Body Temperature
COVID-19
/ diagnosis
Computational Biology
Computer Systems
/ statistics & numerical data
Equipment Design
Female
Heart Rate
Humans
Internet of Things
Male
Middle Aged
Mobile Applications
Monitoring, Physiologic
/ instrumentation
Oxygen Saturation
Pandemics
SARS-CoV-2
User-Computer Interface
Young Adult
Journal
Computational and mathematical methods in medicine
ISSN: 1748-6718
Titre abrégé: Comput Math Methods Med
Pays: United States
ID NLM: 101277751
Informations de publication
Date de publication:
2021
2021
Historique:
received:
19
09
2021
revised:
05
10
2021
accepted:
02
11
2021
entrez:
26
11
2021
pubmed:
27
11
2021
medline:
15
12
2021
Statut:
epublish
Résumé
During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for COVID-19 patients. This study presents an IoT-based system that is a real-time health monitoring system utilizing the measured values of body temperature, pulse rate, and oxygen saturation of the patients, which are the most important measurements required for critical care. This system has a liquid crystal display (LCD) that shows the measured temperature, pulse rate, and oxygen saturation level and can be easily synchronized with a mobile application for instant access. The proposed IoT-based method uses an Arduino Uno-based system, and it was tested and verified for five human test subjects. The results obtained from the system were promising: the data acquired from the system are stored very quickly. The results obtained from the system were found to be accurate when compared to other commercially available devices. IoT-based tools may potentially be valuable during the COVID-19 pandemic for saving people's lives.
Identifiants
pubmed: 34824600
doi: 10.1155/2021/8591036
pmc: PMC8610655
doi:
Types de publication
Evaluation Study
Journal Article
Retracted Publication
Langues
eng
Sous-ensembles de citation
IM
Pagination
8591036Commentaires et corrections
Type : RetractionIn
Informations de copyright
Copyright © 2021 Mohammad Monirujjaman Khan et al.
Déclaration de conflit d'intérêts
The authors declare that they have no conflicts of interest to report regarding the present study.
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