Low cost and batteryless sensor-enabled radio frequency identification tag based approaches to identify patient bed entry and exit posture transitions
Low cost and batteryless sensor-enabled radio frequency identification tag based approaches to identify patient bed entry and exit posture transitions
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DOI：
10.1016/j.gaitpost.2013.06.009
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发表时间：
2014-01-01
期刊：
影响因子：
2.4
通讯作者：
Visvanathan, R.
中科院分区：
文献类型：
--
作者：
Ranasinghe, D. C.;Torres, R. L. Shinmoto;Visvanathan, R.
简介：跌倒在医院和住宅护理设施中，通常发生在床旁。这项研究的目的是使用一个能够实时监控的单个运动传感器来研究连续可穿戴，无电，低功率和低成本监控设备（可穿戴无线识别和传感平台）的准确性，以自动检测床入口并退出事件。材料和方法：三维加速度读数以及来自WISP传输信号的强度被解释为识别床出口事件和敏感性，特异性和确定了接收操作员曲线（ROC）。分子：胸骨方法上的传感器的表现最佳，分别以92.8％和97.5％的敏感性和特异性值分别检测床入口，并分别为90.4％和93.80％的床。另一方面，床入口的敏感性和特异性值分别为84.2％和97.4％，床入口的敏感性和97.4％分别为97.4％，床出口检测的敏感性和79％和97.4％检测床入口和出口的方法。但是，需要在脆弱的老年人中进行进一步的工作才能确认这种方法的性能。 （c）2013 Elsevier B. V.保留所有权利。
Introduction: Falls in hospitals and residential care facilities commonly occur near the bed. The aim of this study was to investigate the accuracy of a continuously wearable, batteryless, low power and low cost monitoring device (Wearable Wireless Identification and Sensing Platform) with a single kinematic sensor capable of real-time monitoring to automatically detect bed entry and exit events.Materials and methods: Three dimensional acceleration readings and the strength of the transmitted signal from the WISP was interpreted to identify bed exit events and sensitivity, specificity and Receiving Operator Curves (ROC) were determined.Results: The sensor located over sternum method performed best with sensitivity and specificity values of 92.8% and 97.5% respectively for detecting bed entry and values of 90.4% and 93.80% respectively for bed exit. On the other hand, the sensor-on-mattress algorithm achieved sensitivity and specificity values of 84.2% and 97.4% respectively for bed entry and 79% and 97.4% for bed exit detection.Conclusion: The WISP located over the sternum method is the preferred method to detect bed entry and exit. However, further work in frail older people is required to confirm the performance of this method. (C) 2013 Elsevier B. V. All rights reserved.