A comparison of variability and gait dynamics in spatiotemporal variables between different self-paced treadmill control modes
A comparison of variability and gait dynamics in spatiotemporal variables between different self-paced treadmill control modes
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DOI：
10.1016/j.jbiomech.2020.109979
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发表时间：
2020-09-18
影响因子：
2.4
通讯作者：
Wan Chenhui
中科院分区：
文献类型：
--
作者：
Wang Wei;Yang Kaiming;Wan Chenhui
本研究旨在探讨踏车控制算法的影响，对时空变量时，走在一个自步速（SP）踏车。10名健康受试者在三种不同的跑步机控制模式下以他们喜欢的步行速度行走15 min。使用惯性测量单元测量步幅时间、步幅长度和步幅速度。计算每个参数的平均值、方差系数、Poincare描述符和步态动力学。当跑步机对使用者的步行行为有快速的反应速度时，步幅和步幅速度的平均值显著增加。步幅和步速的长期变异性受到跑步机控制算法的显著影响。当在SP跑步机上行走时，发现步幅时间和步幅速度的长程相关性强度降低，跑步机加速度和速度变化较小。我们认为，抑制跑步机加速度提供了更多的适应性和更少的约束，用户在SP跑步机行走。虽然需要进一步的研究，目前的工作提供了一个基础，解释跑步机控制算法对人体步态的影响。(c)2020爱思唯尔有限公司保留所有权利。
This study investigates the effects of treadmill control algorithms on spatiotemporal variables when walking on a self-paced (SP) treadmill. Ten healthy subjects walked at their preferred walking speed for 15 min under three different treadmill control modes. Stride time, stride length, and stride speed were measured using an inertial measurement unit. The mean, coefficient of variance, Poincare descriptors, and gait dynamics were calculated for each parameter. The mean values of stride length and stride speed were significantly increased when the treadmill had a quick response speed to the user's walking behavior. The long-term variability of stride length and stride speed was significantly affected by the treadmill control algorithms. A reduced strength of long-range correlations of stride time and stride speed was found when walking on the SP treadmill with suppressed treadmill accelerations and small velocity variations. We suggest that the suppression of treadmill acceleration provides more adaptability and less constraint to the user during SP treadmill walking. Although further research is required, the present work provides a basis for interpreting the influence of treadmill control algorithms on human gait. (c) 2020 Elsevier Ltd. All rights reserved.