...
首页> 外文期刊>Journal of Low Power Electronics and Applications >Inkjet Printed Fully-Passive Body-Worn Wireless Sensors for Smart and Connected Community (SCC)
【24h】

Inkjet Printed Fully-Passive Body-Worn Wireless Sensors for Smart and Connected Community (SCC)

机译:适用于智能和互联社区(SCC)的喷墨打印全被动式身体佩戴式无线传感器

获取原文
           

摘要

Future Smart and Connected Communities (SCC) will utilize distributed sensors and embedded computing to seamlessly generate meaningful data that can assist individuals, communities, and society with interlocking physical, social, behavioral, economic, and infrastructural interaction. SCC will require newer technologies for seamless and unobtrusive sensing and computation in natural settings. This work presents a new technology for health monitoring with low-cost body-worn disposable fully passive electronic sensors, along with a scanner, smartphone app, and web-server for a complete smart sensor system framework. The novel wireless resistive analog passive (WRAP) sensors are printed using an inkjet printing (IJP) technique on paper with silver inks (Novacentrix Ag B40, sheet resistance of 21 m????/sq) and incorporate a few discrete surface mounted electronic components (overall thickness of <1 mm). These zero-power flexible sensors are powered through a wireless inductive link from a low-power scanner (500 mW during scanning burst of 100 ms) by amplitude modulation at the carrier signal of 13.56 MHz. While development of various WRAP sensors is ongoing, this paper describes development of a WRAP temperature sensor in detail as an illustration. The prototypes were functionally verified at various temperatures with energy consumption of as low as 50 mJ per scan. The data is analyzed with a smartphone app that computes severity (Events-of-Interest, or EoI) using a real-time algorithm. The severity can then be anonymously shared with a custom web-server, and visualized either in temporal or spatial domains. This research aims to reduce ER visits of patients by enabling self-monitoring, thereby improving community health for SSC.
机译:未来的智能和互联社区(SCC)将利用分布式传感器和嵌入式计算来无缝生成有意义的数据,这些数据可以帮助个人,社区和社会相互联系的物理,社会,行为,经济和基础设施交互作用。 SCC将需要更新的技术,以在自然环境中实现无缝,无干扰的传感和计算。这项工作提出了一种用于健康监测的新技术,该技术具有低成本的人体可穿戴式一次性完全无源电子传感器,以及用于完整智能传感器系统框架的扫描仪,智能手机应用程序和网络服务器。新型无线电阻式模拟无源(WRAP)传感器使用喷墨印刷(IJP)技术在纸上印有银油墨(Novacentrix Ag B40,薄层电阻为21 m ???? / sq),并结合了一些离散的表面安装电子元件组件(整体厚度小于1毫米)。这些零功率柔性传感器通过低电感扫描器(在100 ms的扫描突发期间为500 mW)的无线感应链路,通过在13.56 MHz的载波信号上进行幅度调制来供电。在开发各种WRAP传感器的过程中,本文以举例的方式详细描述了WRAP温度传感器的开发。在各种温度下对原型进行功能验证,每次扫描的能耗低至50 mJ。使用智能手机应用程序分析数据,该应用程序使用实时算法来计算严重性(兴趣事件或EoI)。然后,可以与自定义Web服务器匿名共享严重性,并在时域或空间域中对其进行可视化。这项研究旨在通过自我监控来减少患者的ER访视,从而改善SSC的社区健康。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号