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

慢性病患者需要经常和可避免的医院就诊。该项目旨在开发一种新型的无电池，低成本，一次性，无线电子贴片传感器，以监测各种生理信号和自定义智能手机应用程序，以监测他们的健康状况，并选择与他们的社区分享他们的匿名感兴趣的事件，以实现智能和互联社区（S CC）。为了实现这些目标，跨学科研究小组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。这将增强用户的能力，使社区利益攸关方能够评估人口健康状况，减少频繁就医的需要，并帮助确定个人和社区为改善健康状况可能采取的行动。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 CC）将利用分布式传感器和嵌入式计算无缝生成有意义的解释，通过改善健康和安全，高效的公共基础设施以及更好地获得所需服务，为个人，社区和社会带来更大的利益。尽管迅速兴起的移动的健康技术已经进入广泛使用的智能手机基础设施，但使用智能手机移动的设备的数据收集目前受到很少集成传感器（例如，惯性测量单元（IMU）、照相机、光学传感器、温度传感器和GPS）。通过将外部无电池传感器的功能整合到这个框架中，以实现更广泛的个人和社区收益的数据收集和分析，可以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被动无线电子贴片传感器平台，并结合多模态传感器数据，（2）开发一个开源框架，用于有意义和可靠的感兴趣事件（EoI）检测，使用自定义智能手机应用程序进行自我监测和社区共享，以及（3）将传感器部署在“生活实验室”中用于试点研究，以实时收集和分类这些数据，从而生成用于各种健康状况（诸如心律失常、哮喘和睡眠障碍）的EoI。

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.