使用肌肉协同作用的成本函数标准:探索肌肉协同作用假设的潜力
1Department of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China.
Computer methods and programs in biomedicine
|April 13, 2024
概括
这项研究引入了肌肉协同作用的新型成本函数,通过使用预测的肌肉激活而不是电肌谱来改进肌肉骨模型. 这些新功能提高了在各种步态过程中预测肌肉力输出的准确性.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 人类运动分析分析
背景情况:
- 肌肉力输出预测依赖于成本函数,但目前的方法有限.
- 现有的肌肉协同研究主要基于电肌图 (EMG).
- 肌肉协同作用的性质 (衍生与真实) 仍在争论中.
研究的目的:
- 根据肌肉协同假设,为肌肉骨模型提出新的成本函数.
- 为了解决基于EMG的肌肉协同提取的局限性.
- 为了提高预测最佳肌肉力输出的准确性.
主要方法:
- 开发了两个新的计算成本函数,结合了肌肉协同作用.
- 从预测的肌肉激活中提取肌肉协同作用,使用非负矩阵因子化.
- 使用"大挑战竞赛预测活体膝盖负荷"数据集构建了一个肌肉骨模型.
- 将多项式和最小/最大标准集成到新的成本函数中.
- 通过使用正常,平滑和跳跃步态来验证和验证功能.
主要成果:
- 来自正常步行的肌肉协同作用形成了四个独特的模块,具有很高的共因相似性 (>0.9对前三种).
- 使用新功能预测的肌肉力量与EMG数据 (在3个标准偏差RMSE范围内) 对正常和平稳步行的数据保持一致.
- 验证证实了新的功能通过比较肌肉力曲线和识别步态特异性点的预测能力.
结论:
- 成功构建并验证了基于肌肉协同作用的两个新型成本函数.
- 证明了肌肉协同假设在肌肉骨建模中的潜力.
- 为预测超越EMG限制的肌肉力输出提供了一种新的方法.
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