患者呼吸FMCW雷达数据分析及物联网转换

Suisbiyanto Prasetya, Arief Budi Santiko, Puput Dani Prasetyo Adi, Yuyu Wahyu, Rizky Rahmatullah, B.Berlian Surya Wicaksana, Stevry Yushady Ch Bissa, Riyani Jana Yanti, A. A. Pramudita
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引用次数: 0

摘要

用于健康的雷达技术还在不断发展,其中之一就是来自于这项研究,它的重点是呼吸系统患者。不仅在FMCW雷达医疗分析方面,而且在显示数据的灵活性方面,可以与当今许多人使用的智能手机设备集成。所使用的服务器之一是MQTT,它已经安装并成功地显示了实时患者呼吸数据。未来,本研究将使用永久外壳安装,在设备之间的连接过程中更加固定和稳定,涉及树莓派4b和omnipresse雷达。该数据与患者的呼吸数据集成到MQTT服务器中,并以呼吸数据图的形式生成实时数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Analyzes and conversion of Patient’s Respiratory FMCW Radar to the Internet of Things
Radar technology for health continues to be developed, one of which is from this research, which focuses on Respiratory patients. Not only in terms of FMCW Radar analysis for medical but also in terms of flexibility in displaying data that can be integrated with smartphone devices used by many people today. One of the servers used is MQTT, which has been installed and successfully displayed realtime patient respiratory data. In the future, this research will be installed using a permanent casing that is more fixed and stable in the connectivity process between devices, involving the Raspberry Pi 4 B and OmniPreSense Radar. The data is integrated into the MQTT server with the patient’s respiratory data and produces realtime data in the form of respiratory data graphs.
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