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Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System
As of late 2019, the COVID19 pandemic has been causing huge concern around the world. Such a pandemic posed serious threats to public safety, the well-being of healthcare workers, and the overall health of the population. If automation can be implemented in healthcare systems, patients could be bett...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499756/ https://www.ncbi.nlm.nih.gov/pubmed/36156952 http://dx.doi.org/10.1155/2022/9879259 |
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author | Al-Barazanchi, Israa Hashim, Wahidah Ahmed Alkahtani, Ammar Rasheed Abdulshaheed, Haider Muwafaq Gheni, Hassan Murthy, Aparna daghighi, Elika Shawkat, Shihab A. Jaaz, Zahraa A. |
author_facet | Al-Barazanchi, Israa Hashim, Wahidah Ahmed Alkahtani, Ammar Rasheed Abdulshaheed, Haider Muwafaq Gheni, Hassan Murthy, Aparna daghighi, Elika Shawkat, Shihab A. Jaaz, Zahraa A. |
author_sort | Al-Barazanchi, Israa |
collection | PubMed |
description | As of late 2019, the COVID19 pandemic has been causing huge concern around the world. Such a pandemic posed serious threats to public safety, the well-being of healthcare workers, and the overall health of the population. If automation can be implemented in healthcare systems, patients could be better cared for and health industries could be less burdened. To combat such challenges, e-health requires apps and intelligent systems. Using WBAN sensors and networks, a doctor or medical professional can advise patients on the best course of action. Patients' fitness could be assessed using WBAN sensors without interfering with their daily activities. When designing a monitoring system, system performance reliability for competent healthcare is critical. Existing research has failed to create a large device capable of handling a large network or to improve WBAN topologies for fast transmitting and receiving patient data. As a result, in this research, we create a multisensor WBAN (MSWBAN) intelligent system for transmitting and receiving critical patient data. To gather information from all cluster nodes and send it to multisensor WBAN, a novel additive distance-threshold routing protocol (ADTRP) is proposed. In small networks where data are managed by the transmitting node and the best data route is determined, this protocol has less redundancy. An edge-cutting-based routing optimization (ES-EC-R ES-EC-RO) is used to find the best route. The Trouped blowfish MD5 (TB-MD5) algorithm is used to encrypt and decrypt data, and the encrypted data are stored in a cloud database for security. The performance metrics of our proposed model are compared to current techniques for the best results. End-to-end latency is 63 ms, packet delivery is 95%, security is 95.7%, and throughput is 9120 bps, according to the results. The purpose of this article is to encourage engineers and front-line workers to develop digital health systems for tracking and controlling virus outbreaks. |
format | Online Article Text |
id | pubmed-9499756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94997562022-09-23 Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System Al-Barazanchi, Israa Hashim, Wahidah Ahmed Alkahtani, Ammar Rasheed Abdulshaheed, Haider Muwafaq Gheni, Hassan Murthy, Aparna daghighi, Elika Shawkat, Shihab A. Jaaz, Zahraa A. Comput Intell Neurosci Research Article As of late 2019, the COVID19 pandemic has been causing huge concern around the world. Such a pandemic posed serious threats to public safety, the well-being of healthcare workers, and the overall health of the population. If automation can be implemented in healthcare systems, patients could be better cared for and health industries could be less burdened. To combat such challenges, e-health requires apps and intelligent systems. Using WBAN sensors and networks, a doctor or medical professional can advise patients on the best course of action. Patients' fitness could be assessed using WBAN sensors without interfering with their daily activities. When designing a monitoring system, system performance reliability for competent healthcare is critical. Existing research has failed to create a large device capable of handling a large network or to improve WBAN topologies for fast transmitting and receiving patient data. As a result, in this research, we create a multisensor WBAN (MSWBAN) intelligent system for transmitting and receiving critical patient data. To gather information from all cluster nodes and send it to multisensor WBAN, a novel additive distance-threshold routing protocol (ADTRP) is proposed. In small networks where data are managed by the transmitting node and the best data route is determined, this protocol has less redundancy. An edge-cutting-based routing optimization (ES-EC-R ES-EC-RO) is used to find the best route. The Trouped blowfish MD5 (TB-MD5) algorithm is used to encrypt and decrypt data, and the encrypted data are stored in a cloud database for security. The performance metrics of our proposed model are compared to current techniques for the best results. End-to-end latency is 63 ms, packet delivery is 95%, security is 95.7%, and throughput is 9120 bps, according to the results. The purpose of this article is to encourage engineers and front-line workers to develop digital health systems for tracking and controlling virus outbreaks. Hindawi 2022-09-15 /pmc/articles/PMC9499756/ /pubmed/36156952 http://dx.doi.org/10.1155/2022/9879259 Text en Copyright © 2022 Israa Al-Barazanchi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Al-Barazanchi, Israa Hashim, Wahidah Ahmed Alkahtani, Ammar Rasheed Abdulshaheed, Haider Muwafaq Gheni, Hassan Murthy, Aparna daghighi, Elika Shawkat, Shihab A. Jaaz, Zahraa A. Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title | Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title_full | Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title_fullStr | Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title_full_unstemmed | Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title_short | Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System |
title_sort | remote monitoring of covid-19 patients using multisensor body area network innovative system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499756/ https://www.ncbi.nlm.nih.gov/pubmed/36156952 http://dx.doi.org/10.1155/2022/9879259 |
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