预测假肢步态和诱导的刚性膝盖步态的影响
Gilmar F Santos1, Eike Jakubowitz1, Christof Hurschler1
1Laboratory for Biomechanics and Biomaterials, Department of Orthopedic Surgery, DIAKOVERE Annastift, Hannover Medical School, Hannover, Germany.
PloS one
|January 2, 2025
概括
这项研究使用预测模型来模拟截肢者和健康个体的步态变化,这些个体有诱导的刚性膝盖步态 (SKG). 这些模型成功地预测了关节时刻和肌肉活动的变化,有助于理解假肢适应.
科学领域:
- 生物力学 生物力学
- 机器人技术 机器人技术 机器人技术
- 人类运动科学科学 人类运动科学
背景情况:
- 假肢步行明显偏离正常行走.
- 了解步态适应对于改善假肢使用至关重要.
- 硬膝行走 (SKG) 在假肢使用者身上带来了独特的挑战.
研究的目的:
- 调查诱导性SKG对假肢和健康步行模式的影响.
- 评估步态模拟最佳控制模型的预测能力.
- 分析由于下肢截肢和施加SKG而导致的步态变化.
主要方法:
- 对健康受试者和膝关节脱节受试者的步态分析,以自我选择的速度进行.
- 测量关节的角度,时刻和表面电肌图 (EMG).
- 应用统计参数映射 (SPM) 和基于最佳控制的预测建模.
主要成果:
- 预测模型准确地模拟了一些实验性假肢步行模式,包括由于SKG而增加的逆侧膝盖曲时刻.
- 在测量EMG和预测的肌肉激活之间发现了良好的一致性,有显著的例外.
- 模型预测了由于截肢而导致的部曲器激活的显著变化以及由于SKG而导致的特定肌肉群激活变化.
结论:
- 应用的方法可以有效地预测由下肢截肢引起的步态变化.
- 这项研究表明,预测模拟在理解强加的步态变化方面具有潜力,例如SKG.
- 这些发现有助于更好地了解假肢步行适应机制.
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