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Comput Math Methods Med ; 2021: 8591036, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34824600

RESUMO

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.


Assuntos
COVID-19/fisiopatologia , Sistemas Computacionais , Internet das Coisas , Monitorização Fisiológica/instrumentação , Adulto , Temperatura Corporal , COVID-19/diagnóstico , COVID-19/epidemiologia , Biologia Computacional , Sistemas Computacionais/estatística & dados numéricos , Desenho de Equipamento , Feminino , Frequência Cardíaca , Humanos , Masculino , Pessoa de Meia-Idade , Aplicativos Móveis , Monitorização Fisiológica/estatística & dados numéricos , Saturação de Oxigênio , Pandemias , SARS-CoV-2 , Interface Usuário-Computador , Adulto Jovem
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