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Validation of an ambient measurement system (AMS) for walking speed

机译:用于步行速度的环境测量系统(AMS)的验证

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Walking speed is an important indicator of worsening in a variety of neurological and neuromuscular diseases, yet typically is measured only infrequently and in a clinical setting. Passive measurement of walking speed at home could provide valuable information to track the progression of many neuromuscular conditions. The purpose of this study was to validate the measurement of walking speed by a shelf-top ambient measurement system (AMS) that can be placed in a patient’s home. Twenty-eight healthy adults (16 male, 12 female) were asked to walk three pre-defined routes two times each (total of 168 traversals). For each traversal, walking speed was measured simultaneously by five sources: two independent AMSs and three human timers with stopwatches. Measurements across the five sources were compared by generalised estimating equations (GEE). Correlation coefficients compared pairwise for walking speeds across the two AMSs, three human timers, and three routes all exceeded 0.86 (p?
机译:步行速度是在各种神经和神经肌肉疾病中恶化的重要指标,但通常仅测量近常测量和临床环境。在家中的步行速度的被动测量可以提供有价值的信息,以跟踪许多神经肌肉条件的进展。本研究的目的是通过货架 - 顶部环境测量系统(AMS)验证步行速度的测量,这些系统可以放在患者家中。要求二十八名健康成年人(16名男性,12名女性)每隔两次走三次预定义的路线(总共168个遍历)。对于每个遍历,步行速度同时测量五个来源:两个独立的AMS和三个人类定时器,带有秒表。通过广义估计方程(GEE)比较了五种来源的测量。相关系数在两AMS,三个人体定时器和三个路线上相比的一对步行速度,并超过0.86(P?<0001),并且对于AMS至AMS超过0.92(P?<0001)。在所有路线上汇总,两AMS之间的测量速度没有显着差异(p?= 596)。在8.5的AMS和人体定时器之间存在统计学上的显着差异(p?<0001),其与其他非磨损传感器报告的差异相当。测试的AMS证明了能够自动测量与手动观察和记录相当的步行速度,这是在临床环境中评估步行速度的当前标准。 AMS可用于检测社区环境中的步行速度的变化。

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