This article presents a continuous home telemonitoring system for chronic respiratory patients using 5G connectivity developed in partnership with Vodafone as a part of the 5G Trial in Milan established by the Italian Ministry of Economic Development. The system features a wearable respiratory and activity monitor, an environmental sensor and a pulse oximeter sending the data through a 5G router to a Multi-Edge Computing server, incorporated in the Vodafone 5G infrastructure, where they are stored and accessible for visualization. In particular, activity, respiratory and environmental data are continuously streamed and collected. The solution has been tested on 18 healthy volunteers during non-supervised recordings lasting at least 48 hours. The combination of recognized activities and associated respiratory parameters provided statistically significant variations in breathing patterns between one activity and the other, thus giving more complete information to the clinicians than previously studied telemedicine systems based on spot-checks. In particular, statistically significant differences are found in tidal volume and minute ventilation between horizontal and vertical postures (p < 0.001) and between vertical postures and dynamic activities (p < 0.001); the respiratory rate shows statistically significant differences between horizontal and vertical postures (p < 0.001). Some environmental parameters have different mean values between day and night, such as carbon dioxide (p < 0.001). Trials on patients are needed to further study this telemedicine solution and make it commercially available in the future. The main further technical development suggested is the use of commercial 5G smartphones as routers, in order to make the system usable outside of home settings.

中文翻译：

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用于连续呼吸监测的家庭远程医疗系统

作为意大利经济发展部在米兰建立的 5G 试验的一部分，本文介绍了与沃达丰合作开发的使用 5G 连接的慢性呼吸系统患者的连续家庭远程监控系统。该系统具有可穿戴式呼吸和活动监测器、环境传感器和脉搏血氧仪，通过 5G 路由器将数据发送到多边缘计算服务器，该服务器包含在沃达丰 5G 基础设施中，在那里存储和访问这些数据以进行可视化。尤其是，活动、呼吸和环境数据会连续不断地流动和收集。该解决方案已在持续至少 48 小时的无监督录音期间对 18 名健康志愿者进行了测试。识别的活动和相关的呼吸参数的组合提供了一种活动和另一种活动之间呼吸模式的统计学显着变化，从而为临床医生提供比以前基于抽查的远程医疗系统更完整的信息。特别是，水平和垂直姿势之间的潮气量和分钟通气量（p < 0.001）以及垂直姿势和动态活动之间的潮气量和分钟通气量（p < 0.001）存在统计学显着差异；呼吸频率在水平和垂直姿势之间显示出统计学上的显着差异（p < 0.001）。一些环境参数在白天和黑夜之间具有不同的平均值，例如二氧化碳 (p < 0.001)。需要对患者进行试验以进一步研究这种远程医疗解决方案，并在未来使其商业化。建议的主要进一步技术开发是将商用 5G 智能手机用作路由器，以使系统在家庭环境之外也可用。