Monitoring Bodily Oscillation With RFID Tags

Monitoring Bodily Oscillation With RFID Tags
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DOI:
10.1109/jiot.2019.2892000
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发表时间:
2019-01
影响因子:
10.6
通讯作者:
Youlin Zhang;Shigang Chen;You Zhou;Yuguang Fang;Chen Qian
Youlin Zhang;Shigang Chen;You Zhou;Yuguang Fang;Chen Qian
中科院分区:
计算机科学1区
文献类型:
--
作者:
Youlin Zhang;Shigang Chen;You Zhou;Yuguang Fang;Chen Qian

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传统的监测和诊断患者健康状况的系统通常需要专用的医疗设备或复杂的系统部署,这导致了高昂的成本。网络研究界最近采取了一种不同的技术方法,以相对较低的成本建立基于无线信号的健康监测系统。然而,射频信号携带各种类型的噪声,并且具有时变特性,这通常与现有的方法在其他身体运动的更苛刻的条件下相违背,这使得很难用数学方法建模和分析信号。在本文中,我们设计了一种新颖的无线系统,使用商用现成的RFID阅读器和标签来提供一种通用而有效的测量身体振荡率的方法,例如帕金森病患者的手部震颤率。我们的系统包括一系列的降噪步骤,针对不同来源的噪音。更重要的是,引入了两种基于滑动窗口的方法来处理信道动态和不规则身体运动的时变信号特性。该系统可以同时测量多人的身体振荡速率。大量的实验表明,我们的系统可以产生精确的测量结果,误差小于0.4振荡/秒,当它被应用于监测手部震颤时,即使个人在移动。
Traditional systems for monitoring and diagnosing patients’ health conditions often require either dedicated medical devices or complicated system deployment, which incurs high cost. The networking research community has recently taken a different technical approach of building health-monitoring systems at relatively low cost based on wireless signals. However, the radio frequency signals carry various types of noise and have time-varying properties that often defy the existing methods in more demanding conditions with other body movements, which makes it difficult to model and analyze the signals mathematically. In this paper, we design a novel wireless system using commercial off-the-shelf RFID readers and tags to provide a general and effective means of measuring bodily oscillation rates, such as the hand tremor rate of a patient with Parkinson’s disease. Our system includes a series of noise-removal steps, targeting at noise from different sources. More importantly, it introduces two sliding window-based methods to deal with time-varying signal properties from channel dynamics and irregular body movement. The proposed system can measure bodily oscillation rates of multiple persons simultaneously. Extensive experiments show that our system can produce accurate measurement results with errors less than 0.4 oscillations per second when it is applied to monitor hand tremor, even when the individuals are moving.