利用物理接近网络(PPN)保护卫生保健工作者免受传染病侵害

A. Rathnayaka, M. Mamun, Fan Wu, S. Curtis, A. Stewardson, M. Yuce
{"title":"利用物理接近网络(PPN)保护卫生保健工作者免受传染病侵害","authors":"A. Rathnayaka, M. Mamun, Fan Wu, S. Curtis, A. Stewardson, M. Yuce","doi":"10.1109/SENSORS47125.2020.9278701","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.","PeriodicalId":338240,"journal":{"name":"2020 IEEE Sensors","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Protecting Health Care Workers from Infectious Diseases using Physical Proximity Networks (PPN)\",\"authors\":\"A. Rathnayaka, M. Mamun, Fan Wu, S. Curtis, A. Stewardson, M. Yuce\",\"doi\":\"10.1109/SENSORS47125.2020.9278701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.\",\"PeriodicalId\":338240,\"journal\":{\"name\":\"2020 IEEE Sensors\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Sensors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SENSORS47125.2020.9278701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SENSORS47125.2020.9278701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

COVID-19大流行是一项重大的全球健康威胁,卫生保健工作者(HCWs)可能因职业接触而增加感染风险。在医院暴发的情况下,需要进行密切身体互动的接触者追踪。在本文中,我们提出了一种基于蓝牙低功耗(BLE)信标的物联网连接接触追踪系统,用于对象识别和数据传输。该系统由BLE接收器、BLE可穿戴标签、边缘网关和云服务器组成。该系统记录医护人员进出医院隔离室的时间等交互信息。收集到的数据将进一步分析,为感染预防政策提供信息。通过定性和定量实验结果对系统的性能进行了评价。最后,对当前系统的功能和未来的研究方向进行了简要的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Protecting Health Care Workers from Infectious Diseases using Physical Proximity Networks (PPN)
The COVID-19 pandemic is a major global health threat, and Health Care Workers (HCWs) may have an increased risk of infection through occupational exposure. In the case of hospital outbreaks, contact tracing of close physical interaction needs to be performed. In this article, we propose an IoT-connected contact tracing system based on Bluetooth Low Energy (BLE) beacons for subject identification and data transmission. The proposed system consists of BLE receivers, BLE wearable tags, an edge gateway and a cloud server. The system records interaction information such as entering/exiting time of an HCW to isolation rooms in the hospital. The collected data will be further analyzed to inform infection prevention policies. The performance of the proposed system is assessed through qualitative and quantitative experimental results. Finally, the capabilities of the current system and future research directions are briefly discussed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Quartz Crystal Microbalance Sensor Based on Peptide Anchored Single-Walled Carbon Nanotubes for Highly Selective TNT Explosive Detection BaTiO3 sensitive film enhancement for CO2 detection Comparable Data Evaluation Method for a Radio-Nuclear Sensor When Used on an UAV Reusable acoustic tweezers enable 2D patterning of microparticles in microchamber on a disposable silicon chip superstrate Optimizing Novel Inorganic Scintillation Detectors for Applications in Medical Physics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1