Cargando…

CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19

The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease....

Descripción completa

Detalles Bibliográficos
Autores principales: Ramallo-González, Alfonso P., González-Vidal, Aurora, Skarmeta, Antonio F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827168/
https://www.ncbi.nlm.nih.gov/pubmed/33445499
http://dx.doi.org/10.3390/s21020484
_version_ 1783640697043156992
author Ramallo-González, Alfonso P.
González-Vidal, Aurora
Skarmeta, Antonio F.
author_facet Ramallo-González, Alfonso P.
González-Vidal, Aurora
Skarmeta, Antonio F.
author_sort Ramallo-González, Alfonso P.
collection PubMed
description The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease. The understanding of COVID-19 will be enriched by the analysis of data related to the phenomena, and this data can be collected using IoT sensors. In this paper, we show an integrated solution based on IoT technologies that can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19, named CIoTVID. The platform is composed of four layers—data acquisition, data aggregation, machine intelligence and services, within the solution. To demonstrate its validity, the solution has been tested with a use case based on creating a classifier of medical conditions using real data of voice, performing successfully. The layer of data aggregation is particularly relevant in this kind of solution as the data coming from medical devices has a very different nature to that coming from electronic sensors. Due to the adaptability of the platform to heterogeneous data and volumes of data; individuals, policymakers, and clinics could benefit from it to fight the propagation of the pandemic.
format Online
Article
Text
id pubmed-7827168
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-78271682021-01-25 CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19 Ramallo-González, Alfonso P. González-Vidal, Aurora Skarmeta, Antonio F. Sensors (Basel) Technical Note The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease. The understanding of COVID-19 will be enriched by the analysis of data related to the phenomena, and this data can be collected using IoT sensors. In this paper, we show an integrated solution based on IoT technologies that can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19, named CIoTVID. The platform is composed of four layers—data acquisition, data aggregation, machine intelligence and services, within the solution. To demonstrate its validity, the solution has been tested with a use case based on creating a classifier of medical conditions using real data of voice, performing successfully. The layer of data aggregation is particularly relevant in this kind of solution as the data coming from medical devices has a very different nature to that coming from electronic sensors. Due to the adaptability of the platform to heterogeneous data and volumes of data; individuals, policymakers, and clinics could benefit from it to fight the propagation of the pandemic. MDPI 2021-01-12 /pmc/articles/PMC7827168/ /pubmed/33445499 http://dx.doi.org/10.3390/s21020484 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Ramallo-González, Alfonso P.
González-Vidal, Aurora
Skarmeta, Antonio F.
CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title_full CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title_fullStr CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title_full_unstemmed CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title_short CIoTVID: Towards an Open IoT-Platform for Infective Pandemic Diseases such as COVID-19
title_sort ciotvid: towards an open iot-platform for infective pandemic diseases such as covid-19
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827168/
https://www.ncbi.nlm.nih.gov/pubmed/33445499
http://dx.doi.org/10.3390/s21020484
work_keys_str_mv AT ramallogonzalezalfonsop ciotvidtowardsanopeniotplatformforinfectivepandemicdiseasessuchascovid19
AT gonzalezvidalaurora ciotvidtowardsanopeniotplatformforinfectivepandemicdiseasessuchascovid19
AT skarmetaantoniof ciotvidtowardsanopeniotplatformforinfectivepandemicdiseasessuchascovid19