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Patterns of optimization in single- and inter-leg gait dynamics

机译:单腿和双腿步态动力学的优化模式

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Introduction: We examined the influence of walking speed on the fluctuation and synchronization dynamics of stride intervals and ground reaction force (GRF) profiles. Our aim was to identify patterns of optimization in the single-leg and inter-leg dynamics at preferred walking speed (PWS). PWS is thought to bring about the most stable walking pattern in terms of the attractor dynamics of the locomotion system. Methods: Twenty healthy subjects (29.1. ±. 1.8 years; 10 women) walked on a treadmill for 5-min periods at their PWS and at 20, 40, 70, and 80% of maximal walking speed. The coefficient of variation (CV) and long-range correlations α of GRF profile and stride time fluctuations as well as the phase synchronization ρ of inter-leg stride timing were analyzed. Results: GRF profile α increased with increasing walking speed (p<. 0.001). In contrast, stride time CV and α showed a U-shaped speed-dependency with lowest values at PWS (p<. 0.05). The speed-dependency of single-leg stride time fluctuations was mirror-inverted in the speed-dependency of inter-leg stride timing ρ; its highest values occurred at PWS (p<. 0.001). Conclusions: Fluctuations in GRF profiles become more consistent with increasing walking speed. In contrast, the dynamics of single-leg and inter-leg timing show a collective pattern of optimization at PWS. Less correlated noise in single-leg timing at PWS, imposed on the two coupled oscillating legs, increases the phase synchronization of bilateral timing, thereby enhancing gait stability at the attractor of self-paced walking. Thus, the attractor dynamics of locomotion appear to rely on the interaction of single- and inter-leg timing.
机译:简介:我们研究了步行速度对步幅和地面反作用力(GRF)曲线波动和同步动力学的影响。我们的目标是在首选步行速度(PWS)下确定单腿和腿间动力学的优化模式。就运动系统的吸引子动力学而言,PWS被认为带来了最稳定的行走方式。方法:20名健康受试者(29.1。±。1.8岁; 10名女性)在其PWS上以最大行走速度的20%,40%,70%和80%的速度在跑步机上行走了5分钟。分析了GRF轮廓的变化系数(CV)和远距离相关性α与步幅时间波动以及腿间步幅正时的相位同步ρ。结果:GRF轮廓α随着步行速度的增加而增加(p <.0.001)。相比之下,步幅时间CV和α在PWS处具有最低的U形速度依赖性(p <。0.05)。单腿步幅时间波动的速度相关性在腿间步幅时间ρ的速度相关性中被镜像反转。其最高值出现在PWS(p <.0.001)。结论:GRF曲线的波动随着步行速度的增加变得更加一致。相比之下,单腿和腿间计时的动态表现出PWS优化的集体模式。在PWS的单腿计时中,施加在两个耦合的摆动腿上的相关噪声较小,从而增加了双边计时的相位同步,从而增强了自定步态步行吸引器的步态稳定性。因此,运动的吸引子动力学似乎依赖于单腿和腿间计时的相互作用。

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