模拟影响行走代谢率的生物力学特征,使用动力脚脚假肢
Mikayla Schneider1, Zane A Colvin2, Alena M Grabowski2,3
1Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, United States.
Frontiers in robotics and AI
|January 23, 2026
概括
动力脚脚假肢可能会改善截肢者的行走经济. 机器学习确定了关键的生物力学因素,如脚逆转和膝盖延伸,影响行走期间的新陈代谢率.
科学领域:
- 生物力学 生物力学
- 假肢的使用 假肢的使用
- 人类运动科学科学 人类运动科学
背景情况:
- 电动脚脚假肢为单边横截肢的人提供了潜在的好处,包括改善移动性和生活质量.
- 然而,在实验研究中,持续地证明生理改善,特别是步行期间降低代谢率,仍然是一个挑战.
研究的目的:
- 用动力脚脚假肢走路时,研究基础代谢率的生物力学机制.
- 使用机器学习方法,模拟多式生物力学因素与步行代谢率之间的关系.
主要方法:
- 开发了一个机器学习模型,结合了50个生物力学特征 (时空,工作,动力学,肌肉活动,地面反应力,假肢设置,受试者的特征).
- 累积的局部效应图被用于可视化每个特征对代谢率的影响.
- 该模型实现了高的预测准确性 (伪R2为0.986).
主要成果:
- 该模型确定了关键的生物力学因素,这些因素显著影响了步行代谢率.
- 峰值不受影响的侧脚反转角度,导致受影响的腿在一步到步过渡期间积极工作,峰值受影响的膝盖延伸角度是最有影响力的特征.
- 这些发现提供了对代谢成本的生物力学驱动因素的见解.
结论:
- 这项研究增强了对动力脚脚假肢使用的生物机械和生理反应的理解.
- 鉴定的关键特征可以为开发先进的假肢控制策略提供信息,以优化行走经济并降低新陈代谢率.
- 进一步的研究可能会导致更好的假肢设计和截肢者的康复方案.
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