• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Gait & posture >Patterns of muscle coordination vary with stride frequency during weight assisted treadmill walking.
【24h】

Patterns of muscle coordination vary with stride frequency during weight assisted treadmill walking.

机译：重量辅助跑步机行走期间，肌肉协调方式随步幅变化。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：部分体重支持的跑步机训练是步态康复的一种方法。诸如步进频率和体重支持量之类的变量是训练过程中操纵的关键参数。这项研究的目的是量化体重支持和步幅频率在多大程度上有助于和相互作用以产生腿部肌肉的协调模式。主成分分析用于深入研究这些因素在跑步机运动期间对肌电图（EMG）活动的相互作用影响。八名健康受试者以15种不同的重量支撑（0％，20％，40％，60％，100％）和步幅频率（0.40、0.49、0.57 Hz）组合在跑步机上行走。使用Lokomat机器人步态矫形器进行跑步机行走，以约束腿部运动学。表面肌电数据是从几条下肢肌肉收集的。结果表明，在跑步机运动期间，EMG活动的大部分差异可归因于体重支持水平和步幅频率所施加的运动任务机制。我们还表明，体重支持和步幅频率以不同的方式相互作用，以影响肌肉的协调方式。在高水平的体重支撑和较快的步幅频率与较低水平的体重支撑和较慢的步幅频率之间的肌电图协调模式相似。我们的数据表明，在运动训练过程中，应考虑体重支持和步幅频率的相互作用，以优化运动输出。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号