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Muscle contributions to support and progression over a range of walking speeds.

机译:肌肉在一系列步行速度上的支持和进步。

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摘要

Muscles enable humans to walk, yet the mechanisms by which the forces generated by dozens of muscles give rise to walking are not well understood. An improved knowledge of muscle function during normal human walking has applications in many fields, from improving treatments for individuals with walking abnormalities to designing bipedal robots and prosthetic devices. Furthermore, characterizing how normal muscle function changes with walking speed could be helpful in determining why some patients with impairments have limited walking speed. Quantifying muscle function is challenging because the dynamic processes that link muscle coordination to observed motion are complex. Muscle-actuated dynamic simulations provide a means to investigate cause-effect relationships between individual muscle activity and movement of the body. The goal of this dissertation was to identify the muscles that provide vertical support of body weight and forward progression of the body mass center during walking. We examined muscle function over a range of walking speeds, from very slow to fast, in unimpaired humans.;We first identified muscle contributions to support and progression by developing and applying a new perturbation analysis method to a three-dimensional simulation of walking at a single speed. We then applied this method to identify muscle contributions to support and progression over a range of walking speeds for multiple unimpaired subjects. To do this, we generated and analyzed three-dimensional muscle-actuated simulations of gait for eight subjects walking overground at very slow, slow, free, and fast speeds. After identifying peak muscle contributions to support and progression for each subject at all speeds, we performed a repeated-measures analysis of variance to examine the effects of walking speed on these contributions.;Our findings suggest that a relatively small group of muscles provides most of the forward progression and support needed for normal walking. Gluteus maximus and vasti provided vertical support during early stance, with some assistance from gluteus medius. Gluteus medius continued to support the body during midstance. Gastrocemius and soleus generated support during late stance. Vasti and gluteus maximus resisted progression during early stance, while gastrocnemius and soleus assisted progression during late stance.;Walking speed had statistically significant effects on peak support and progression contributions from several muscle groups. The influence of walking speed was most apparent as speed increased from slow to free. Vasti's support contributions increased dramatically (p .001), and support contributions from gluteus maximus (p = .006) and soleus (p = .001) also increased. Contributions from vasti to resist progression increased significantly (p .001) and from soleus to assist progression increased significantly (p .001). These results demonstrate the importance of walking speed when evaluating muscle function.;This dissertation provides new insights into how muscle function changes with walking speed and contributes a set of reference data with 32 simulations that are available for use by others.
机译:肌肉使人能够行走,但是人们对数十种肌肉产生的力引起行走的机制尚不十分了解。改进的正常人步行过程中的肌肉功能知识已在许多领域中应用,从改善对步行异常患者的治疗到设计双足机器人和修复设备。此外,表征正常的肌肉功能如何随步行速度变化可能有助于确定为什么某些障碍患者的步行速度受到限制。量化肌肉功能具有挑战性,因为将肌肉协调性与观察到的运动联系在一起的动态过程非常复杂。肌肉驱动的动态模拟提供了一种手段来研究个体肌肉活动与身体运动之间的因果关系。本文的目的是确定在步行过程中为体重提供垂直支撑和重心向前发展的肌肉。我们在无障碍的人类中从极慢到快的各种步行速度范围内检查了肌肉功能;我们首先通过开发一种新的扰动分析方法并将其应用到在3D步行的三维模拟中识别肌肉对支持和进展的贡献。单速。然后,我们应用此方法来确定肌肉贡献力,以支持多个无障碍受试者在一定步行速度范围内的支持和进步。为此,我们生成并分析了八名受试者以非常慢,慢,自由和快的速度在地面上行走的步态的三维肌肉致动模拟。在确定了各个受试者在所有速度下支持和进步的峰值肌肉贡献之后,我们进行了方差的重复测量分析,以检查步行速度对这些贡献的影响。我们的研究结果表明,相对较小的一组肌肉提供了大部分正常行走所需的向前进步和支持。臀大肌和巨大肌在早期站立时提供了垂直支撑,而臀中肌也提供了一些帮助。臀肌在中途继续支撑身体。高加索米乌斯和比目鱼在后期的姿势中获得了支持。 Vasti和臀大肌在早期站立时抵抗进展,而腓肠肌和比目鱼在晚期站立时帮助进展。随着速度从缓慢增加到自由,步行速度的影响最为明显。 Vasti的支持贡献显着增加(p <.001),而臀大肌(p = .006)和比目鱼(p = .001)的支持贡献也增加了。从巨大肌抵抗抵抗的贡献显着增加(p <.001),从比目鱼肌协助抵抗的贡献显着增加(p <.001)。这些结果证明了步行速度在评估肌肉功能时的重要性。本论文提供了关于肌肉功能如何随步行速度变化的新见解,并提供了32种可供其他人使用的模拟参考数据。

著录项

  • 作者

    Liu, May Quo-Mei.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Biomedical.;Engineering Mechanical.;Biology Physiology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 201 p.
  • 总页数 201
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;机械、仪表工业;
  • 关键词

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