RADAR-IoT Proof of Concept (PoC)

IoT sensors offer a wide range of sensing capabilities, many of which have the potential for health or medical applications. Existing solutions for IoT in healthcare have notable limitations, such as limited I/O protocols, limited cloud platform support, and limited extensibility. Therefore, the development of an open-source Internet of Medical Things (IoMT) gateway solution that addresses these limitations and provides reliability, broad applicability, and utility would be highly desirable. Combining a wide range of sensor data streams from IoT devices with ambulatory mHealth data would open the potential for providing a detailed 360-degree view of the relationship between patient physiology, behaviour, and environment. To harness this potential, RADAR-IoT has been developed as an open-source IoT gateway framework. It aims to connect multiple IoT devices at the edge, perform on-device data analysis, and integrate with cloud-based mobile health platforms such as RADAR-base, enabling real-time data processing. This dataset contains data from the RADAR-IoT Proof of Concept analysis for sensor data collected from the author’s home using the RADAR-IoT framework.

物联网传感器（IoT Sensors）具备丰富的感知功能，其中多数具备应用于健康或医疗领域的潜力。当前面向医疗场景的物联网解决方案存在显著局限，例如输入输出（Input/Output, I/O）协议受限、云平台支持不足以及可扩展性较差。因此，开发一款开源医疗物联网（Internet of Medical Things, IoMT）网关解决方案，以解决上述局限并兼具可靠性、广泛适用性与实用价值，将极具现实意义。将各类物联网设备的多维度传感器数据流与动态移动健康（mobile Health, mHealth）数据相结合，有望实现对患者生理状态、行为模式与所处环境之间关联的全方位细致洞察。为挖掘这一应用潜力，研发团队开发了RADAR-IoT这一开源物联网网关框架。该框架旨在连接边缘端的多台物联网设备，开展端侧数据分析，并与RADAR-base等基于云平台的移动健康系统集成，从而实现实时数据处理。本数据集涵盖基于RADAR-IoT框架开展的概念验证（Proof of Concept, PoC）分析数据，其来源为作者家中通过RADAR-IoT框架采集的传感器数据。