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
|September 16, 2024
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.
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.
关键词:
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