针对动力膝关节假肢的个性化控制:持续阻抗功能和基于PCA的调方法
概括
本研究介绍了一种更快的方法来调膝关节假肢,使用连续阻抗函数 (CIF) 和主要组件分析 (PCA). 这种方法简化了对假肢控制参数的优化,以改善用户交互.
科学领域:
- 生物医学工程 生物医学工程
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
背景情况:
- 个性化假肢设备需要优化控制参数,但目前的有限状态机器阻抗控制 (FSM-IC) 方法涉及耗时的手动调整.
- 有效的调整对于改善用户交互和假肢的性能至关重要.
研究的目的:
- 开发一种使用连续阻抗函数 (CIF) 和主要组件分析 (PCA) 调膝关节假肢的新高效方法.
- 为了减少手工劳动和优化假肢控制参数所需的时间.
主要方法:
- 模拟CIFs (刚度,减压,平衡角度) 作为第四阶多项式,并使用凸式优化优化它们.
- 将PCA应用于CIF,以提取代表共同特征的主要组件 (PC).
- 使用PC权重作为调参数来重建各种阻抗函数.
主要成果:
- 通过凸起式优化成功生成CIF,创建了一个新的,高效的调空间.
- 使用10名健身人士的行走数据证明了拟议的调整空间的可行性.
- 验证了使用主要组件重量重建各种阻抗函数的能力.
结论:
- 拟议的基于CIF和PCA的调方法为个性化膝关节假肢提供了更有效和系统的方法.
- 这种新的调整空间简化了优化过程,可能导致更好的假肢性能和用户体验.
- 该方法得到了验证,并显示了未来在假肢控制系统开发中的应用的前景.
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