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e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19
In 2019, a new virus, SARS-CoV-2, responsible for the COVID-19 disease, was discovered. Asymptomatic and mildly symptomatic patients were forced to quarantine and closely monitor their symptoms and vital signs, most of the time at home. This paper describes e-CoVig, a novel mHealth application, deve...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152780/ https://www.ncbi.nlm.nih.gov/pubmed/34068131 http://dx.doi.org/10.3390/s21103397 |
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author | Raposo, Afonso Marques, Luis Correia, Rafael Melo, Francisco Valente, João Pereira, Telmo Rosário, Luis Brás Froes, Filipe Sanches, João da Silva, Hugo Plácido |
author_facet | Raposo, Afonso Marques, Luis Correia, Rafael Melo, Francisco Valente, João Pereira, Telmo Rosário, Luis Brás Froes, Filipe Sanches, João da Silva, Hugo Plácido |
author_sort | Raposo, Afonso |
collection | PubMed |
description | In 2019, a new virus, SARS-CoV-2, responsible for the COVID-19 disease, was discovered. Asymptomatic and mildly symptomatic patients were forced to quarantine and closely monitor their symptoms and vital signs, most of the time at home. This paper describes e-CoVig, a novel mHealth application, developed as an alternative to the current monitoring paradigm, where the patients are followed up by direct phone contact. The e-CoVig provides a set of functionalities for remote reporting of symptoms, vital signs, and other clinical information to the health services taking care of these patients. The application is designed to register and transmit the heart rate, blood oxygen saturation ([Formula: see text]), body temperature, respiration, and cough. The system features a mobile application, a web/cloud platform, and a low-cost specific device to acquire the temperature and [Formula: see text]. The architecture of the system is flexible and can be configured for different operation conditions. Current commercial devices, such as oximeters and thermometers, can also be used and read using the optical character recognition (OCR) functionality of the system. The data acquired at the mobile application are sent automatically to the web/cloud application and made available in real-time to the medical staff, enabling the follow-up of several users simultaneously without the need for time consuming phone call interactions. The system was already tested for its feasibility and a preliminary deployment was performed on a nursing home showing promising results. |
format | Online Article Text |
id | pubmed-8152780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81527802021-05-27 e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 Raposo, Afonso Marques, Luis Correia, Rafael Melo, Francisco Valente, João Pereira, Telmo Rosário, Luis Brás Froes, Filipe Sanches, João da Silva, Hugo Plácido Sensors (Basel) Article In 2019, a new virus, SARS-CoV-2, responsible for the COVID-19 disease, was discovered. Asymptomatic and mildly symptomatic patients were forced to quarantine and closely monitor their symptoms and vital signs, most of the time at home. This paper describes e-CoVig, a novel mHealth application, developed as an alternative to the current monitoring paradigm, where the patients are followed up by direct phone contact. The e-CoVig provides a set of functionalities for remote reporting of symptoms, vital signs, and other clinical information to the health services taking care of these patients. The application is designed to register and transmit the heart rate, blood oxygen saturation ([Formula: see text]), body temperature, respiration, and cough. The system features a mobile application, a web/cloud platform, and a low-cost specific device to acquire the temperature and [Formula: see text]. The architecture of the system is flexible and can be configured for different operation conditions. Current commercial devices, such as oximeters and thermometers, can also be used and read using the optical character recognition (OCR) functionality of the system. The data acquired at the mobile application are sent automatically to the web/cloud application and made available in real-time to the medical staff, enabling the follow-up of several users simultaneously without the need for time consuming phone call interactions. The system was already tested for its feasibility and a preliminary deployment was performed on a nursing home showing promising results. MDPI 2021-05-13 /pmc/articles/PMC8152780/ /pubmed/34068131 http://dx.doi.org/10.3390/s21103397 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Raposo, Afonso Marques, Luis Correia, Rafael Melo, Francisco Valente, João Pereira, Telmo Rosário, Luis Brás Froes, Filipe Sanches, João da Silva, Hugo Plácido e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title | e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title_full | e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title_fullStr | e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title_full_unstemmed | e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title_short | e-CoVig: A Novel mHealth System for Remote Monitoring of Symptoms in COVID-19 |
title_sort | e-covig: a novel mhealth system for remote monitoring of symptoms in covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152780/ https://www.ncbi.nlm.nih.gov/pubmed/34068131 http://dx.doi.org/10.3390/s21103397 |
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