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Wireless Accelerometer for the Detection of Falls Among Patients with Vertigo

机译:无线加速度计,用于检测眩晕患者中的跌倒

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In this paper we present a fall detection system using a triaxial accelerometer module for the prevention of falls and fall-related injuries among patients with vertigo. We recruited 26 healthy control subjects and 12 patients with vertigo for the study. The fall detection system used a triaxial accelerometer module (ADXL33; Analog Devices, Inc., Norwood, Massachusetts); signals were transmitted by a 2.4 G-Hz wireless link to a PC side receiver via a radiofrequency transmission module. Four accelerometer modules (attached to the forehead, waist, left thigh, or right thigh) were used to calculate the amount of acceleration change (AAC) during simulated falls and activities of daily living (sitting, standing, rolling on bed, and walking) among control subjects. We recorded Romberg, stepping, and tandem gait test data among participants in both study groups. For each activity of daily living and its reciprocal activity, there were no significant differences in AACs among most of the accelerometer modules (p > 0.05). Receiver operating characteristic curves showed that the waist sensor identified a true fall event with a sensitivity of 0.98 and that the forehead sensor identified a false fall event with a specificity of 0.97. Comparing Romberg test data between the study groups, there were significant differences in AACs among the forehead (3.38 vs. 1.74), left thigh (1.89 vs. 1.56), and right thigh (2.24 vs. 1.55) accelerometer recordings (p < 0.05 for all).
机译:在本文中,我们提出了一种使用三轴加速度计模块的跌倒检测系统,用于预防眩晕患者跌倒和与跌倒相关的伤害。我们招募了26名健康对照受试者和12名眩晕患者进行研究。跌倒检测系统使用三轴加速度计模块(ADXL33;马萨诸塞州诺伍德市的Analog Devices,Inc.);信号通过2.4 G-Hz无线链路通过射频传输模块传输到PC侧接收器。四个加速度计模块(连接到前额,腰部,左大腿或右大腿)用于计算模拟跌倒和日常生活活动(坐着,站立,在床上滚动和行走)期间的加速度变化量(AAC)。在控制对象之间。我们记录了两个研究组参与者中的Romberg,踏步和串联步态测试数据。对于日常生活的各项活动及其相互活动,大多数加速度计模块之间的AAC均无显着差异(p> 0.05)。接收器工作特性曲线表明,腰部传感器识别出的真实跌倒事件的灵敏度为0.98,额头传感器识别出的虚假跌倒事件的特异性为0.97。比较研究组之间的Romberg测试数据,前额(3.38对1.74),左大腿(1.89对1.56)和右大腿(2.24对1.55)加速度计记录之间的AAC有显着差异(p <0.05)所有)。

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