Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System

Cryptography; Health care; Health risks; Hospital data processing; Internet protocols; Viruses; Bodyarea networks (BAN); Health industry; Healthcare systems; Healthcare workers; Innovative systems; Multi sensor; Patient data; Public safety; Remote monitoring; Well being; Intelligent systems

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Bibliographic Details
Main Authors: Al-Barazanchi I., Hashim W., Ahmed Alkahtani A., Rasheed Abdulshaheed H., Muwafaq Gheni H., Murthy A., Daghighi E., Shawkat S.A., Jaaz Z.A.
Other Authors: 57659035200
Format: Article
Published: Hindawi Limited 2023
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spelling my.uniten.dspace-271102023-05-29T17:39:41Z Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System Al-Barazanchi I. Hashim W. Ahmed Alkahtani A. Rasheed Abdulshaheed H. Muwafaq Gheni H. Murthy A. Daghighi E. Shawkat S.A. Jaaz Z.A. 57659035200 11440260100 57902735600 57209849809 57903571700 57201076330 57796598000 57201306583 57210340202 Cryptography; Health care; Health risks; Hospital data processing; Internet protocols; Viruses; Bodyarea networks (BAN); Health industry; Healthcare systems; Healthcare workers; Innovative systems; Multi sensor; Patient data; Public safety; Remote monitoring; Well being; Intelligent systems 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. � 2022 Israa Al-Barazanchi et al. Final 2023-05-29T09:39:40Z 2023-05-29T09:39:40Z 2022 Article 10.1155/2022/9879259 2-s2.0-85138612689 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138612689&doi=10.1155%2f2022%2f9879259&partnerID=40&md5=4c77b47359d0f8f183f7efb30dbb01f6 https://irepository.uniten.edu.my/handle/123456789/27110 2022 9879259 All Open Access, Gold, Green Hindawi Limited Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Cryptography; Health care; Health risks; Hospital data processing; Internet protocols; Viruses; Bodyarea networks (BAN); Health industry; Healthcare systems; Healthcare workers; Innovative systems; Multi sensor; Patient data; Public safety; Remote monitoring; Well being; Intelligent systems
author2 57659035200
author_facet 57659035200
Al-Barazanchi I.
Hashim W.
Ahmed Alkahtani A.
Rasheed Abdulshaheed H.
Muwafaq Gheni H.
Murthy A.
Daghighi E.
Shawkat S.A.
Jaaz Z.A.
format Article
author Al-Barazanchi I.
Hashim W.
Ahmed Alkahtani A.
Rasheed Abdulshaheed H.
Muwafaq Gheni H.
Murthy A.
Daghighi E.
Shawkat S.A.
Jaaz Z.A.
spellingShingle Al-Barazanchi I.
Hashim W.
Ahmed Alkahtani A.
Rasheed Abdulshaheed H.
Muwafaq Gheni H.
Murthy A.
Daghighi E.
Shawkat S.A.
Jaaz Z.A.
Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System
author_sort Al-Barazanchi I.
title 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_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_sort remote monitoring of covid-19 patients using multisensor body area network innovative system
publisher Hindawi Limited
publishDate 2023
_version_ 1806427300730765312
score 13.222552