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Web-based Sensor Streaming Wearable for Respiratory Monitoring Applications.

机译:基于Web的传感器流耐磨用于呼吸监测应用。

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This paper presents a system for remote monitoring of respiration of individuals that can detect respiration rate, mode of breathing and identify coughing events. It comprises a series of polymer fabric-sensors incorporated into a sports vest, a wearable data acquisition platform and a novel rich internet application (RIA) which together enable remote real-time monitoring of untethered wearable systems for respiratory rehabilitation. This system will, for the first time, allow therapists to monitor and guide the respiratory efforts of patients in real-time through a web browser. Changes in abdomen expansion and contraction associated with respiration are detected by the fabric sensors and transmitted wirelessly via a Bluetooth-based solution to a standard computer. The respiratory signals are visualized locally through the RIA and subsequently published to a sensor streaming cloud-based server. A web-based signal streaming protocol makes the signals available as real-time streams to authorized subscribers over standard browsers. We demonstrate real-time streaming of a six-sensor shirt rendered remotely at 40 samples/s per sensor with perceptually acceptable latency (<0.5s) over realistic network conditions.
机译:本文提出了一种用于远程监测能够检测呼吸率,呼吸方式和识别咳嗽事件的个人呼吸的系统。它包括一系列掺入运动背心的一系列聚合物织物传感器,可穿戴数据采集平台和新型互联网应用程序(RIA),其中包括对呼吸康复的不受限制的可穿戴系统进行远程实时监控。这一系统是第一次允许治疗师监控和指导患者的呼吸努力通过Web浏览器实时地实时努力。织物传感器检测与呼吸相关的腹部扩展和收缩的变化,并通过基于蓝牙的解决方案无线传输到标准计算机。呼吸信号通过RIA本地可视化,随后发布到传感器流基于云的服务器。基于Web的信号流传输协议使信号可用作标准浏览器的授权订阅者的实时流。我们展示了六个传感器衬衫的实时流,在每种传感器的40个样品/ s中远程呈现,具有逼真的网络条件上具有感知可接受的延迟(<0.5s)。

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