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物联网环境下智能医疗监测系统的开发

Development of Smart Healthcare Monitoring System in IoT Environment.

作者信息

Islam Md Milon, Rahaman Ashikur, Islam Md Rashedul

机构信息

Department of Computer Science and Engineering, Khulna University of Engineering & Technology, Khulna, 9203 Bangladesh.

出版信息

SN Comput Sci. 2020;1(3):185. doi: 10.1007/s42979-020-00195-y. Epub 2020 May 26.

DOI:10.1007/s42979-020-00195-y
PMID:33063046
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7250268/
Abstract

Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper proposes a smart healthcare system in IoT environment that can monitor a patient's basic health signs as well as the room condition where the patients are now in real-time. In this system, five sensors are used to capture the data from hospital environment named heart beat sensor, body temperature sensor, room temperature sensor, CO sensor, and CO sensor. The error percentage of the developed scheme is within a certain limit (< 5%) for each case. The condition of the patients is conveyed via a portal to medical staff, where they can process and analyze the current situation of the patients. The developed prototype is well suited for healthcare monitoring that is proved by the effectiveness of the system.

摘要

医院和许多其他医疗中心的医疗监测系统经历了显著增长,如今,融合新兴技术的便携式医疗监测系统正受到全球许多国家的高度关注。物联网(IoT)技术的出现推动了医疗从面对面咨询向远程医疗的发展。本文提出了一种物联网环境下的智能医疗系统,该系统能够实时监测患者的基本健康体征以及患者所在房间的状况。在这个系统中,使用了五个传感器从医院环境中采集数据,分别是心跳传感器、体温传感器、室温传感器、一氧化碳传感器和二氧化碳传感器。所开发方案的误差百分比在每种情况下都在一定限度内(<5%)。患者的状况通过一个门户传达给医务人员,他们可以在那里处理和分析患者的当前情况。所开发的原型非常适合医疗监测,系统的有效性证明了这一点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/47d419782885/42979_2020_195_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/024de748d624/42979_2020_195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/2fa1c40cfcd6/42979_2020_195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/43ad2c6e1a9a/42979_2020_195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/d31ba3ae0d77/42979_2020_195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/d33eebe8d8ec/42979_2020_195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/47d419782885/42979_2020_195_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/024de748d624/42979_2020_195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/2fa1c40cfcd6/42979_2020_195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/43ad2c6e1a9a/42979_2020_195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/d31ba3ae0d77/42979_2020_195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/d33eebe8d8ec/42979_2020_195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8413/7250268/47d419782885/42979_2020_195_Fig6_HTML.jpg

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