School of Human Kinetics, University of British Columbia, Vancouver, BC, Canada.
Gait Posture. 2010 Mar;31(3):360-5. doi: 10.1016/j.gaitpost.2010.01.001. Epub 2010 Jan 22.
Partial body weight-supported treadmill training is an approach for gait rehabilitation. Variables such as stepping frequency and the amount of body weight support are key parameters manipulated during training. The purpose of this study was to quantify the extent to which body weight support and stride frequency contribute and interact to produce the coordination patterns of the leg muscles. Principal components analysis was used to provide insight into the interaction effects of these factors on electromyographical (EMG) activity during treadmill locomotion. Eight healthy subjects walked on a treadmill at 15 different combinations of weight support (0%, 20%, 40%, 60%, 100%), and stride frequency (0.40, 0.49, 0.57 Hz). Treadmill walking was performed with the Lokomat robotic gait orthosis to constrain leg kinematics. Surface EMG data were collected from several lower limb muscles. Results indicate that much of the variance in EMG activity during treadmill locomotion can be attributed to the mechanics of the locomotor task imposed by the level of body weight support and stride frequency. We also showed that body weight support and stride frequency interact in different ways to affect muscle coordination patterns. EMG coordination patterns are similar between conditions of high levels of body weight support and faster stride frequencies vs. lower levels of body weight support and slower stride frequency. Our data suggest that the interaction of body weight support and stride frequency should be taken into consideration for optimizing motor output during locomotor training.
部分体重支撑跑步机训练是一种步态康复方法。在训练过程中,步频和体重支撑量等变量是关键的参数。本研究的目的是量化体重支撑和步频对腿部肌肉协调模式的贡献和相互作用的程度。主成分分析用于深入了解这些因素对跑步机运动中肌电图(EMG)活动的相互作用效应。8 名健康受试者在 15 种不同的体重支撑(0%、20%、40%、60%、100%)和步频(0.40、0.49、0.57 Hz)组合下在跑步机上行走。跑步机行走由 Lokomat 机器人步态矫形器进行,以限制腿部运动学。从几个下肢肌肉采集表面肌电图数据。结果表明,跑步机运动中 EMG 活动的大部分方差可以归因于体重支撑水平和步频对运动任务的力学要求。我们还表明,体重支撑和步频以不同的方式相互作用,影响肌肉协调模式。在高体重支撑水平和较快的步频与较低的体重支撑水平和较慢的步频条件下,EMG 协调模式相似。我们的数据表明,在进行步态训练时,应考虑体重支撑和步频的相互作用,以优化运动输出。