使用连续机械前向建模和关节范围优化来确定肌肉骨系统的预拉伸状态
1Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Nobelstr. 12, 70569, Stuttgart, Germany. okan.avci@ipa.fraunhofer.de.
Biomechanics and modeling in mechanobiology
|April 15, 2024
概括
确定肌肉纤维前拉伸对于理解关节运动范围至关重要. 这项研究开发了一种优化过程,以准确计算肌肉预拉伸,这对于生物力学分析和临床应用至关重要.
科学领域:
- 生物力学 生物力学
- 肌肉骨系统的建模
- 计算生物学是一种计算生物学.
背景情况:
- 肌肉前紧张会影响关节的运动范围 (RoM) 和收缩.
- 在体内测量肌肉前拉伸目前是不可行的.
- 准确的肌肉纤维预拉伸对于理解生物力学功能和病理状况至关重要.
研究的目的:
- 开发一个优化过程,以确定前臂肌肉纤维预拉伸.
- 分析个体肌肉预拉伸对前臂曲和延伸RoM的影响.
- 确定准确的前拉伸测定对于临床应用的重要性.
主要方法:
- 使用3D连续机械前向模拟进行运动分析.
- 开发了一个优化过程,以计算基于人类前臂数据的肌肉纤维预拉伸.
- 从一个健康的个体使用的RoM值来平衡曲和伸展运动.
主要成果:
- 确定的主导肌肉 (m. brachialis,m. biceps brachii,m. triceps brachii) 影响了客观的曲比率.
- 揭示了两个柔器预拉伸之间的负相关性,以及沿着最佳路径与主要延伸器 (三腕) 的正相关性.
- 在将全球最佳与其他解决方案进行比较时,证明了显著的偏差 (在运动中高达15度,肌肉力量为40%).
结论:
- 精确的肌肉纤维预拉伸的准确确定对于精确的生物力学建模至关重要.
- 这些发现凸显了预拉伸在正常关节功能和潜在的病理性疾病中的关键作用.
- 这种方法对手术应用有意义,例如自由肌肉或肌转移,改善结果.
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