Department of Information and Communication Engineering, Faculty of Computer Science, University of Murcia, 30100 Murcia, Spain.
Sensors (Basel). 2021 Jan 12;21(2):484. doi: 10.3390/s21020484.
The factors affecting the penetration of certain diseases such as COVID-19 in society are still unknown. Internet of Things (IoT) technologies can play a crucial role during the time of crisis and they can provide a more holistic view of the reasons that govern the outbreak of a contagious disease. The understanding of COVID-19 will be enriched by the analysis of data related to the phenomena, and this data can be collected using IoT sensors. In this paper, we show an integrated solution based on IoT technologies that can serve as opportunistic health data acquisition agents for combating the pandemic of COVID-19, named CIoTVID. The platform is composed of four layers-data acquisition, data aggregation, machine intelligence and services, within the solution. To demonstrate its validity, the solution has been tested with a use case based on creating a classifier of medical conditions using real data of voice, performing successfully. The layer of data aggregation is particularly relevant in this kind of solution as the data coming from medical devices has a very different nature to that coming from electronic sensors. Due to the adaptability of the platform to heterogeneous data and volumes of data; individuals, policymakers, and clinics could benefit from it to fight the propagation of the pandemic.
影响 COVID-19 等某些疾病在社会中传播的因素尚不清楚。物联网 (IoT) 技术在危机时期可以发挥关键作用，它们可以提供更全面的视角来了解传染病爆发的原因。通过分析与现象相关的数据，可以丰富对 COVID-19 的理解，而这些数据可以使用物联网传感器进行收集。在本文中，我们展示了一种基于物联网技术的集成解决方案，该解决方案可用作应对 COVID-19 大流行的机会性健康数据采集代理，名为 CIoTVID。该平台由数据采集、数据聚合、机器智能和服务四层组成，位于解决方案内。为了证明其有效性，该解决方案已使用基于使用真实语音数据创建医疗状况分类器的用例进行了测试，测试结果令人满意。在这种解决方案中，数据聚合层特别重要，因为来自医疗设备的数据与来自电子传感器的数据具有非常不同的性质。由于该平台对异构数据和数据量具有适应性，个人、政策制定者和诊所都可以从中受益，以对抗疫情的传播。
