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相关概念视频

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it instrumental in...
Orthogonal Trajectories01:26

Orthogonal Trajectories

Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...

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Measurement of Dynamic Scapular Kinematics Using an Acromion Marker Cluster to Minimize Skin Movement Artifact
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评估临床评估的关节角度数据,使用多维反向动力学与平均段形态测量.

Rachel I Taitano1, Valeriya Gritsenko2

  • 1Department of Neuroscience, School of Medicine, West Virginia University, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, USA.

bioRxiv : the preprint server for biology
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PubMed
概括

运动捕捉技术准确地估计了手臂关节的角度,以评估运动缺陷. 使用患者身高进行模型缩放,为临床运动分析提供可靠的数据,即使在远程环境中也是如此.

关键词:
残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾残疾动态惯性模型的动态惯性模型.模型缩放的模型缩放.运动捕捉技术的技术.运动缺口 运动缺口运动分析的分析.移动冗余性 移动冗余性有关数量数据的量化数据.康复 康复 康复 康复远程医疗保健 远程医疗保健上肢的运动上肢的运动虚拟现实虚拟现实就是虚拟现实.

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科学领域:

  • 生物力学 生物力学
  • 康复技术 康复技术 康复技术
  • 临床评估 临床评估

背景情况:

  • 运动分析对于诊断和治疗运动障碍至关重要.
  • 负担得起的运动捕捉可以提高临床数据的可访问性.
  • 验证运动捕捉的准确性至关重要,特别是在远程患者监控方面.

研究的目的:

  • 为了评估从动作捕捉数据的关节角度计算的准确性.
  • 为了比较使用直接测量与患者身高的模型缩放方法.
  • 评估运动捕捉对于运动缺陷评估的临床实用性.

主要方法:

  • 在虚拟现实任务中,通过移动捕捉追踪上肢运动.
  • 动力学数据是使用缩放式动态惯性模型计算的.
  • 关节的角度 (肩膀,肘部,部,手腕) 通过反向动力学计算.

主要成果:

  • 在直接测量和基于高度的缩放之间比较了联合角度计算中的错误.
  • 错误的差异在正常的试验间变化范围内.
  • 基于高度的缩放显示出足够准确的临床应用.

结论:

  • 运动捕捉数据,即使是使用单个高度进行缩放,也能提供足够准确的关节角度估计.
  • 这项技术在远程临床评估运动缺陷方面表现有前途.
  • 经过验证的运动捕捉系统可以可靠地支持患者的康复和诊断.