Events-of-interest Capture Using Novel Body-worn Fully-passive Wireless Sensors for S&CC

患有慢性病的患者需要经常去医院就诊，这是可以避免的。该项目旨在开发一种新型的无电池、低成本、一次性的无线电子贴片传感器来监测各种生理信号，并开发一款定制的智能手机应用程序来监测他们的健康状况，并选择与他们的社区分享他们感兴趣的匿名事件，以建立一个智能和互联的社区(S&Amp；CC)。为了实现这些目标，跨学科研究团队正在与位于大孟菲斯社区的联合卫理公会非营利性麦肯德里区合作完成这项工作。这将赋予用户权力，允许社区利益攸关方评估人口健康状况，减少频繁去医院就诊的需要，并有助于确定可能采取的个人和社区行动，以改善健康状况。该项目还涉及对本科生和研究生进行新兴技术跨学科研究活动的培训，预计将影响公共和私营部门改善医疗保健的努力。智能互联社区(S和CC)将利用分布式传感器和嵌入式计算无缝地生成有意义的解释，通过改善健康和安全、高效的公共基础设施和更好地获得所需服务，这些解释将对个人、社区和整个社会产生更大的好处。虽然迅速崛起的移动医疗技术已经进入了广泛使用的智能手机基础设施，但目前使用智能手机移动设备进行数据收集受到集成传感器(例如，惯性测量单元(IMU)、相机、光学传感器、温度传感器和GPS)的限制。通过将外部无电池传感器的功能整合到此框架中，以支持数据收集和分析以获得更广泛的个人和社区收益，将有巨大的机会推动智能和互联社区的发展。为了实现这一目标，这项研究将(1)提供一个用于生理数据收集的全无源无线电子贴片传感器平台，并整合多模式传感器数据；(2)开发一个开源框架，使用自定义智能手机应用程序进行自我监控和公共共享，以检测有意义和可靠的感兴趣事件(EOI)；以及(3)将传感器部署在“生活实验室”进行试点研究，以实时收集和分类这些数据，以生成各种健康状况的EOI，如心律失常、哮喘和睡眠障碍。

Patients with chronic illness require frequent and avoidable hospital visits. This project aims to develop a new class of battery-less, low-cost, disposable, wireless electronic patch sensors to monitor a variety of physiological signals and a custom smartphone app to monitor their health status and to elect to share their anonymized events-of-interest with their community towards a smart and connected community (S&CC). To achieve these aims, the interdisciplinary research team is collaborating with the non-profit McKendree District of the United Methodist Church located in the greater Memphis community to complete this work. This will empower users, permit the community stakeholders to assess population health status, reduce the need for frequent hospital visits, and help identify potential individual and community actions to achieve improvement in health status. The project also involves the training of undergraduate and graduate students in interdisciplinary research activities on emerging technologies, and is expected to impact public and private sector efforts to improve healthcare. A smart and connected community (S&CC) will utilize distributed sensors and embedded computing to seamlessly generate meaningful interpretations that would be of greater benefit to individuals, the community, and society, in general, through improved health and safety, efficient public infrastructure, and better access to needed services. Although rapidly emerging mobile health technology is already tapping into widely used smartphone infrastructure, data collection using smartphone mobile devices is currently limited by few integrated sensors (e.g., Inertial measurement unit (IMU), camera, optical sensors, temperature sensor, and GPS). There are tremendous opportunities to advance the smart and connected communities by incorporating capabilities from external battery-less sensors into this framework to enable data collection and analysis for broader personal and community gain. Towards this goal, this research will (1) deliver a platform of fully-passive wireless electronic patch sensors for physiological data collection and to incorporate multimodal sensor data, (2) develop an open-source framework for meaningful and reliable Events-of-Interest (EoI) detection using a custom smartphone app for self-monitoring and communal sharing, and (3) deploy the sensors in a "Living Lab" for a pilot study to collect and classify these data in real-time to generate EoIs for various health conditions, such as arrhythmia, asthma, and sleep disorder.