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利用力数据自我调整跑步机并测量自我选择的步行速度。

Using force data to self-pace an instrumented treadmill and measure self-selected walking speed.

机构信息

Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.

出版信息

J Neuroeng Rehabil. 2020 Jun 3;17(1):68. doi: 10.1186/s12984-020-00683-5.

Abstract

BACKGROUND

Self-selected speed is an important functional index of walking. A self-pacing controller that reliably matches walking speed without additional hardware can be useful for measuring self-selected speed in a treadmill-based laboratory.

METHODS

We adapted a previously proposed self-pacing controller for force-instrumented treadmills and validated its use for measuring self-selected speeds. We first evaluated the controller's estimation of subject speed and position from the force-plates by comparing it to those from motion capture data. We then compared five tests of self-selected speed. Ten healthy adults completed a standard 10-meter walk test, a 150-meter walk test, a commonly used manual treadmill speed selection test, a two-minute self-paced treadmill test, and a 150-meter self-paced treadmill test. In each case, subjects were instructed to walk at or select their comfortable speed. We also assessed the time taken for a trial and a survey on comfort and ease of choosing a speed in all the tests.

RESULTS

The self-pacing algorithm estimated subject speed and position accurately, with root mean square differences compared to motion capture of 0.023 m s and 0.014 m, respectively. Self-selected speeds from both self-paced treadmill tests correlated well with those from the 10-meter walk test (R>0.93,p<1×10). Subjects walked slower on average in the self-paced treadmill tests (1.23±0.27 ms) than in the 10-meter walk test (1.32±0.18 ms) but the speed differences within subjects were consistent. These correlations and walking speeds are comparable to those from the manual treadmill speed selection test (R=0.89,p=3×10;1.18±0.24 ms). Comfort and ease of speed selection were similar in the self-paced tests and the manual speed selection test, but the self-paced tests required only about a third of the time to complete. Our results demonstrate that these self-paced treadmill tests can be a strong alternative to the commonly used manual treadmill speed selection test.

CONCLUSIONS

The self-paced force-instrumented treadmill well adapts to subject walking speed and reliably measures self-selected walking speeds. We provide the self-pacing software to facilitate use by gait researchers and clinicians.

摘要

背景

自选择速度是步行的一个重要功能指标。一种无需额外硬件即可可靠匹配步行速度的自定步速控制器,可用于在基于跑步机的实验室中测量自选择速度。

方法

我们对以前提出的用于测力跑步机的自定步速控制器进行了改进,并验证了其在测量自选择速度方面的用途。我们首先通过比较力板和运动捕捉数据来评估控制器从力板估算受试者速度和位置的准确性。然后,我们比较了五种自选择速度测试。10 名健康成年人完成了标准的 10 米步行测试、150 米步行测试、常用的手动跑步机速度选择测试、两分钟自主跑步机测试和 150 米自主跑步机测试。在每种情况下,受试者都被指示以或选择自己舒适的速度行走。我们还评估了所有测试中试验时间以及关于舒适度和选择速度难易程度的调查。

结果

自定步速算法准确地估算了受试者的速度和位置,与运动捕捉的均方根差分别为 0.023 米/秒和 0.014 米。来自两个自主跑步机测试的自选择速度与 10 米步行测试高度相关(R>0.93,p<1×10)。与 10 米步行测试(1.32±0.18 米/秒)相比,受试者在自主跑步机测试中平均行走速度较慢(1.23±0.27 米/秒),但受试者内的速度差异一致。这些相关性和步行速度与手动跑步机速度选择测试相当(R=0.89,p=3×10;1.18±0.24 米/秒)。自主测试和手动速度选择测试中的舒适度和选择速度的难易程度相似,但自主测试完成所需的时间仅约为其三分之一。我们的结果表明,这些自主跑步机测试可以作为常用手动跑步机速度选择测试的有力替代方法。

结论

自主测力跑步机很好地适应了受试者的行走速度,并可靠地测量了自选择的行走速度。我们提供自定步速软件,以方便步态研究人员和临床医生使用。

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