在静态行走和任务转换过程中实时预测腿部关节动力学
概括
这项研究提出了一种新方法,用对立四肢的运动来估计腿部关节运动. 这种方法有助于控制像假肢这样的辅助设备,以更好地恢复运动.
科学领域:
- 生物力学和机器人技术
- 康复工程 康复工程
背景情况:
- 运动障碍显著影响移动能力.
- 先进的骨架和假肢旨在恢复功能.
- 精确控制这些设备是一个关键的挑战,往往需要参考关节动力学.
研究的目的:
- 引入一种用于估计参考腿部关节动力学的新方法.
- 为了利用来自对侧 (相反) 肢体的动力学数据进行估计.
- 改进对活跃骨架和假肢的控制策略.
主要方法:
- 一种融合方法,结合了辅助四肢运动估计 (CLME) 和自适应振荡器 (AO).
- 一个物流函数用于整合两个估计器的输出.
- 该方法用于估计行走期间的关节动力学.
主要成果:
- 合并方法在过渡阶段显示了与CLME可比的性能.
- 过渡后,该方法转向AO性能,以提高准确性.
- 循环对循环的相关性分析显示,在近乎稳定状态的运动过程中,增强估计.
结论:
- 新的融合估计方法为腿部关节动力学提供了更高的准确性.
- 这种技术可以增强移动辅助设备的控制.
- 融合方法的适应性允许在不同的步行阶段实现更好的性能.
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