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首页> 外文期刊>Assistive technology: the official journal of RESNA >Telehealth monitor to measure physical activity and pressure relief maneuver performance in wheelchair users
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Telehealth monitor to measure physical activity and pressure relief maneuver performance in wheelchair users

机译:远程医疗监测在轮椅用户中测量身体活动和压力救济机动性能

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摘要

This study demonstrated the feasibility of a device for monitoring pressure relief maneuvers and physical activity for wheelchair users. The device counts the number of wheel pushes based on wheelchair acceleration and measures pressure relief maneuvers using a seat sensor consisting of three force sensing resistors (FSRs). To establish the feasibility of the seat sensor for the detection of pressure relief maneuvers, 10 wheelchair users and 10 non-disabled controls completed a series of wheelchair depression raises, forward trunk leans, and lateral trunk leans. The seat sensor was placed underneath the user's seat cushion. To establish the feasibility of wheel push counting, 10 full-time wheelchair users navigated a flat 50-m outdoor track and a 100-m outdoor obstacle course during self-propulsion (e.g., wheel pushes) and during assisted-propulsion (e.g., no wheel pushes). Of the 240 performed pressure relief, 225 were properly classified by the seat sensor (accuracy: 94%, sensitivity: 96%, specificity: 80%). Sensitivity was highest for depression raises (98%) and lowest for front lean maneuvers (80%). The wheelchair activity monitor measured 2,112 pushes during the self-propulsion trials compared to 2,162 pushes measured with the instrumented push-rim (97.7%). During assisted-propulsion trials, there were 477 incorrectly identified pushes (8.0 per trial).
机译:本研究表明,用于监测轮椅用户的压力缓解机动和体力活动的设备的可行性。该装置根据轮椅加速度计算车轮推动的数量,并使用由三个力传感电阻(FSR)组成的座椅传感器来测量压力浮雕机动。为建立座椅传感器的可行性来检测压力释放机动,10轮椅用户和10个非残疾人控制完成了一系列轮椅抑郁率,向前行李箱倾斜,侧箱倾斜。座椅传感器位于使用者座垫下方。为了建立车轮推动计数的可行性,10个全职轮椅使用者在自推进(例如,车轮推动)和辅助推进期间(例如,不车轮推动)。在240个执行的压力浮雕中,225座椅传感器适当分类(精度:94%,敏感度:96%,特异性:80%)。抑郁症的敏感性最高(98%),前瘦机动(80%)最低。与用仪表式推杆(97.7%)测量的2,162推动,轮椅活动监视器测量2,112推动2,112次推动。在辅助推进试验期间,有477个错误识别的推动(每次试验8.0)。

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