Vieira Marcus Fraga, Rodrigues Fábio Barbosa, de Sá E Souza Gustavo Souto, Magnani Rina Márcia, Lehnen Georgia Cristina, Campos Natalia Guimarães, Andrade Adriano O
Bioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiânia, Brazil; Faculty of Electrical Engineering, Postgraduate Program in Electrical and Biomedical Engineering, Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Brazil.
Bioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiânia, Brazil.
J Biomech. 2017 Mar 21;54:73-79. doi: 10.1016/j.jbiomech.2017.01.045. Epub 2017 Feb 6.
This study evaluated the gait stability, variability, and complexity of healthy young adults on inclined surfaces. A total of 49 individuals walked on a treadmill at their preferred speed for 4min at inclinations of 6%, 8%, and 10% in upward (UP) and downward (DOWN) conditions, and in horizontal (0%) condition. Gait variability was assessed using average standard deviation trunk acceleration between strides (VAR), gait stability was assessed using margin of stability (MoS) and maximum Lyapunov exponent (λs), and gait complexity was assessed using sample entropy (SEn). Trunk variability (VAR) increased in the medial-lateral (ML), anterior-posterior, and vertical directions for all inclined conditions. The SEn values indicated that movement complexity decreased almost linearly from DOWN to UP conditions, reflecting changes in gait pattern with longer and slower steps as inclination increased. The DOWN conditions were associated with the highest variability and lowest stability in the MoS ML, but not in λs. Stability was lower in UP conditions, which exhibited the largest λs values. The overall results support the hypothesis that inclined surfaces decrease gait stability and alter gait variability, particularly in UP conditions.
本研究评估了健康年轻成年人在倾斜表面上的步态稳定性、变异性和复杂性。共有49名个体在跑步机上以各自偏好的速度行走4分钟,行走时分别处于向上(UP)和向下(DOWN)倾斜6%、8%和10%的条件,以及水平(0%)条件。步态变异性使用步幅间躯干加速度的平均标准差(VAR)进行评估,步态稳定性使用稳定裕度(MoS)和最大李雅普诺夫指数(λs)进行评估,步态复杂性使用样本熵(SEn)进行评估。在所有倾斜条件下,躯干变异性(VAR)在内侧-外侧(ML)、前后和垂直方向均增加。SEn值表明,从DOWN到UP条件,运动复杂性几乎呈线性下降,这反映了随着倾斜度增加,步态模式发生变化,步长变长且变慢。在MoS的ML方向上,DOWN条件下的变异性最高,稳定性最低,但在λs方面并非如此。UP条件下的稳定性较低,其λs值最大。总体结果支持这样的假设,即倾斜表面会降低步态稳定性并改变步态变异性,尤其是在UP条件下。