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Gait Stability During Shod and Barefoot Walking and Running on a Treadmill Assessed by Correlation Entropy

机译:步态稳定性在鞋子和赤脚行走和跑步和跑步机上通过相关熵评估的跑步机

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This study tests correlation entropy, K_2, as a measure of stability for gait analysis. An average of 13 strides from 10 participants in each combination of one footwear (barefoot vs shod) condition and one gait mode (walking vs running) were collected during treadmill walking and running. Sagittal plane ankle, knee and hip angular displacement and velocity data were used for analysis. Two-way repeated measures ANOVA showed a main effect for gait mode (p = .03) - running had lower K_2 than walking, indicating higher stability. Although the sample of strides and participants was small, we speculate that the greater inertia for running helped stabilize movement control, making the running coordination pattern more resilient against small stride-to-stride perturbations.
机译:该研究测试相关熵,K_2,作为步态分析的稳定性。在跑步机行走和运行期间收集来自10个鞋类(赤脚VS Shod)条件和一个步态模式(步行VS运行)的10名参与者的13个脚步。矢状平面脚踝,膝关节和髋关节角位移和速度数据用于分析。双向重复措施Anova表现出对步态模式的主要效果(P = .03) - 运行的较低K_2比行走更低,表明稳定性更高。虽然步幅和参与者的样品很小,但我们推测跑步的惯性有助于稳定运动控制,使得运行的协调模式更加弹性,免受小潮到狭隘的扰动。

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