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Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
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人类姿势跟踪算法的有效性验证,用于步态分析能力.

Tadamitsu Matsuda1, Yuji Fujino2, Hitoshi Makabe1

  • 1Department of Physical Therapy, Faculty of Health Science, Juntendo University, Tokyo 113-0033, Japan.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
概括

二维 (2D) 步态分析系统显示出临床应用的前景,证明了与时间距离参数的3D系统的良好一致性. 对于精确的关节角度测量,特别是对于部,需要进一步改进.

关键词:
步态 步态 步态 步态人类姿势估计估计运动分析分析运动分析.验证验证的时间

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科学领域:

  • 生物力学 生物力学
  • 临床生物力学 临床生物力学
  • 运动分析 运动分析

背景情况:

  • 二维 (2D) 临床步态分析系统在成本和便携性方面比传统的三维 (3D) 系统具有优势.
  • 对2D系统与已建立的3D标准进行验证对于其临床采用至关重要.

研究的目的:

  • 为了统计验证Imasen和OpenPose的2D步态测量系统与Vicon的3D运动捕捉系统相比.
  • 评估2D系统在步行过程中测量时间,距离和关节角度参数的准确性.

主要方法:

  • 2D (Imasen,OpenPose) 和3D (Vicon) 步态分析系统的比较.
  • 测量时间因子,距离因子和部/膝关节关节角度在松平面.
  • 在平行行走过程中以不同的速度和步态 (正常,最大,双重) 进行的实验.

主要成果:

  • 与Vicon相比,大多数步态参数的类内相关系数超过0.769,除了一些膝关节角度的例外.
  • 对于时间-距离参数,发现了很好的相对一致性,对于运动收缩范围 (不包括关节角度) 发现了中等至优异的相对一致性.
  • 时间距离参数的相关系数高 (>0.571) 但关节角度,特别是部角度较低.

结论:

  • 2D步态分析系统对时间距离参数具有良好的可靠性,支持其临床实用性.
  • 2D模型的进一步改进是必要的,以提高捕捉部和膝关节角度的准确性.
  • 这些发现指导了未来的发展,以加强2D步态分析的临床应用.