全身角动量是反应平衡适应和扰动强度的特征
Mitchell D Adam1, Delaney McElvain2, T George Hornby3
1Marquette University Department of Physical Therapy, Schroeder Complex, 346. 560 N. 16(th) St., Milwaukee, WI 53233, USA.
Journal of biomechanics
|December 13, 2024
概括
全身角动量 (H) 测量,特别是峰值差异 (HR) 和轨迹维护 (PNT),有效量化了走路时的反应平衡适应. 这些指标有助于跟踪基于扰动的步态干预措施的进展,以改善稳定性.
科学领域:
- 生物力学 生物力学
- 发动机控制器的控制器
- 步态分析 步态分析
背景情况:
- 量化反应平衡适应对于理解步态扰乱干预至关重要.
- 现有的方法很难客观地追踪平衡干预措施的进展.
- 全身角动量 (H) 显示了检测微妙平衡反应的潜力.
研究的目的:
- 在量化反应平衡适应时评估全身角动量 (H) 导数的灵敏度.
- 评估不同的扰动强度和重复如何影响平衡指标.
- 确定可靠的指标来跟踪在步态干预期间反应平衡的变化.
主要方法:
- 年轻的健康成年人经历了跑步机行走与离散的,意想不到的中侧,前侧和后侧扰动.
- 测量包括校正步骤参数,干部运动,峰值H,峰值到峰值的H差异 (HR) 和H轨道稳定性 (PNT).
- 通过在单个会话中对不同扰动强度和重复的适应性进行了评估.
主要成果:
- H衍生物,特别是HR和PNT,随着扰动强度和重复度的增加,显示出显著的变化.
- 校正步骤长度/宽度和干部偏差也发生了显著的变化,但程度较小.
- 峰值H显示条件之间的差异较弱,但显著.
结论:
- 全身角动量 (H) 的导数,特别是HR和PNT,对反应平衡的变化敏感.
- 这些H-衍生测量可以有效地检测行走过程中微妙的平衡适应.
- 它们提供了一种有希望的客观方法来监测基于扰动的步态训练计划的进展.
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