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用于新冠疫情的基于WebSocket的多参数生命体征远程医疗系统

Multi-Parameter Vital Sign Telemedicine System Using Web Socket for COVID-19 Pandemics.

作者信息

Pintavirooj Chuchart, Keatsamarn Tanapon, Treebupachatsakul Treesukon

机构信息

School of Engineering, King Mongkut Institute of Technology Ladkrabang, Bangkok 10520, Thailand.

出版信息

Healthcare (Basel). 2021 Mar 5;9(3):285. doi: 10.3390/healthcare9030285.

DOI:10.3390/healthcare9030285
PMID:33807759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7999582/
Abstract

Telemedicine has become an increasingly important part of the modern healthcare infrastructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.

摘要

远程医疗已成为现代医疗基础设施中日益重要的一部分,尤其是在当前新冠疫情的形势下。许多云平台已被广泛用于远程医疗。最受欢迎的平台包括PubNub、亚马逊网络服务、谷歌云平台和微软Azure。远程医疗的关键挑战之一是对生命体征进行实时应用监测。到目前为止,商业平台并不适合实时应用。另一种选择是设计一个利用WebSocket的基于网络的应用程序。本研究论文涉及使用基于网络的应用程序进行实时六参数生命体征监测。六个生命体征参数是心电图、体温、容积描记图、血氧饱和度、血压和心率。这六个生命体征参数在网络服务器站点进行编码,并在登录时发送到客户端站点。然后将编码后的参数解码为六个生命体征信号。我们提出的使用WebSocket的多参数生命体征远程医疗系统已成功在4G移动网络上远程监测六参数生命体征,延迟小于5毫秒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/70be65466665/healthcare-09-00285-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/ff3a161ef83a/healthcare-09-00285-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/327c8a8a977f/healthcare-09-00285-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/7eee33a3e2f2/healthcare-09-00285-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/f6a19d3fb9cb/healthcare-09-00285-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/1e47fa000de7/healthcare-09-00285-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/76749952dc0a/healthcare-09-00285-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/a35dcb707f77/healthcare-09-00285-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/877a4aad8d83/healthcare-09-00285-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/e3a44e6b0a58/healthcare-09-00285-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/4eec66161280/healthcare-09-00285-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/47d8c1a7c47a/healthcare-09-00285-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/70be65466665/healthcare-09-00285-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/ff3a161ef83a/healthcare-09-00285-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/327c8a8a977f/healthcare-09-00285-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/7eee33a3e2f2/healthcare-09-00285-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/f6a19d3fb9cb/healthcare-09-00285-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/1e47fa000de7/healthcare-09-00285-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/76749952dc0a/healthcare-09-00285-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/a35dcb707f77/healthcare-09-00285-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/877a4aad8d83/healthcare-09-00285-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/e3a44e6b0a58/healthcare-09-00285-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/4eec66161280/healthcare-09-00285-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/47d8c1a7c47a/healthcare-09-00285-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d15/7999582/70be65466665/healthcare-09-00285-g012.jpg

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本文引用的文献

1
Conventional pulse transit times as markers of blood pressure changes in humans.常规脉搏波传导时间可作为人体血压变化的标志物。
Sci Rep. 2020 Oct 2;10(1):16373. doi: 10.1038/s41598-020-73143-8.
2
How the pandemic might play out in 2021 and beyond.这场大流行病在2021年及以后可能会如何发展。
Nature. 2020 Aug;584(7819):22-25. doi: 10.1038/d41586-020-02278-5.
3
Real-Time Smart Patient Monitoring and Assessment Amid COVID-19 Pandemic - an Alternative Approach to Remote Monitoring.新冠疫情期间的实时智能患者监测与评估——远程监测的一种替代方法
基于机器学习的无创血压检测
Sensors (Basel). 2023 Oct 9;23(19):8342. doi: 10.3390/s23198342.
4
Blockchain Socket Factories with RMI-Enabled Framework for Fine-Grained Healthcare Applications.基于 RMI 启用框架的区块链套接字工厂,用于细粒度医疗保健应用。
Sensors (Basel). 2022 Aug 4;22(15):5833. doi: 10.3390/s22155833.
J Med Syst. 2020 Jun 13;44(7):131. doi: 10.1007/s10916-020-01599-2.
4
Pulse Transit Time Based Continuous Cuffless Blood Pressure Estimation: A New Extension and A Comprehensive Evaluation.基于脉搏传输时间的连续无袖带血压估计:新扩展和全面评估。
Sci Rep. 2017 Sep 14;7(1):11554. doi: 10.1038/s41598-017-11507-3.
5
Remote Mobile Health Monitoring System Based on Smart Phone and Browser/Server Structure.基于智能手机和浏览器/服务器结构的远程移动健康监测系统
J Healthc Eng. 2015;6(4):717-37. doi: 10.1260/2040-2295.6.4.717.
6
Cuff-Free Blood Pressure Estimation Using Pulse Transit Time and Heart Rate.基于脉搏波传导时间和心率的无袖带血压估计
Int Conf Signal Process Proc. 2014 Oct;2014:115-118. doi: 10.1109/ICOSP.2014.7014980.
7
Telecardiology through ubiquitous internet services.远程心脏病学通过无处不在的互联网服务。
Int J Med Inform. 2012 Sep;81(9):612-21. doi: 10.1016/j.ijmedinf.2012.05.011. Epub 2012 Jun 17.
8
Benefits and drawbacks of telemedicine.远程医疗的利弊。
J Telemed Telecare. 2005;11(2):60-70. doi: 10.1258/1357633053499886.
9
Assessing telemedicine: a systematic review of the literature.评估远程医疗:文献系统综述
CMAJ. 2001 Sep 18;165(6):765-71.
10
A survey of research in telemedicine. 2: Telemedicine services.
J Telemed Telecare. 1998;4(2):63-71. doi: 10.1258/1357633981931948.