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Application of cognitive Internet of Medical Things for COVID-19 pandemic
BACKGROUND AND AIM: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Diabetes India. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287427/ https://www.ncbi.nlm.nih.gov/pubmed/32570016 http://dx.doi.org/10.1016/j.dsx.2020.06.014 |
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author | Swayamsiddha, Swati Mohanty, Chandana |
author_facet | Swayamsiddha, Swati Mohanty, Chandana |
author_sort | Swayamsiddha, Swati |
collection | PubMed |
description | BACKGROUND AND AIM: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. METHODS: An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms “COVID-19” and “Cognitive IoT” or “Corona virus” and “IoMT”. The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. RESULTS: This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. CONCLUSIONS: CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others. |
format | Online Article Text |
id | pubmed-7287427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Diabetes India. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72874272020-06-11 Application of cognitive Internet of Medical Things for COVID-19 pandemic Swayamsiddha, Swati Mohanty, Chandana Diabetes Metab Syndr Article BACKGROUND AND AIM: In the age of advanced digital technology, smart healthcare based on the Internet of Things (IoT) is gaining importance to deal with the current COVID-19 pandemic. In this paper, the novel application of cognitive radio (CR) based IoT specific for the medical domain referred to as Cognitive Internet of Medical Things (CIoMT) is explored to tackle the global challenge. This concept of CIoT is best suited to this pandemic as every person is to be connected and monitored through a massive network that requires efficient spectrum management. METHODS: An extensive literature survey is conducted in the Google Scholar, Scopus, PubMed, Research Gate, and IEEE Xplore databases using the terms “COVID-19” and “Cognitive IoT” or “Corona virus” and “IoMT”. The latest data and inputs from official websites and reports are used for further investigation and analysis of the application areas. RESULTS: This review encompasses different novel applications of CIoMT for fighting the ongoing COVID-19 health crisis. The CR based dynamic spectrum allocation technique is the solution for accommodating a massive number of devices and a wide number of applications. The CIoMT platform enables real-time tracking, remote health monitoring, rapid diagnosis of the cases, contact tracking, clustering, screening, and surveillance thus, reducing the workload on the medical industry for prevention and control of the infection. The challenges and future research directions are also identified. CONCLUSIONS: CIoMT is a promising technology for rapid diagnosis, dynamic monitoring and tracking, better treatment and control without spreading the virus to others. Diabetes India. Published by Elsevier Ltd. 2020 2020-06-11 /pmc/articles/PMC7287427/ /pubmed/32570016 http://dx.doi.org/10.1016/j.dsx.2020.06.014 Text en © 2020 Diabetes India. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Swayamsiddha, Swati Mohanty, Chandana Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title | Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title_full | Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title_fullStr | Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title_full_unstemmed | Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title_short | Application of cognitive Internet of Medical Things for COVID-19 pandemic |
title_sort | application of cognitive internet of medical things for covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287427/ https://www.ncbi.nlm.nih.gov/pubmed/32570016 http://dx.doi.org/10.1016/j.dsx.2020.06.014 |
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