Using force data to self-pace an instrumented treadmill and measure self-selected walking speed
Using force data to self-pace an instrumented treadmill and measure self-selected walking speed
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DOI:
10.1186/s12984-020-00683-5
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发表时间:
2020-06-03
影响因子:
5.1
通讯作者:
Collins, Steven H.
中科院分区:
文献类型:
--
作者:
Song, Seungmoon;Choi, Hojung;Collins, Steven H.
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 (-1) 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