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相关概念视频

Muscles that Move the Thigh01:20

Muscles that Move the Thigh

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The thigh's motion is primarily governed by muscles originating in the pelvic girdle and inserted into the femur. One crucial muscle, the iliopsoas, is a combination of the psoas major and the iliacus muscles, sharing a common insertion point on the lesser trochanter of the femur.
Three other significant muscles are the gluteus maximus, gluteus medius, and gluteus minimus. The gluteus maximus originates from the posterior surface of the ilium, sacrum, and coccyx, and the thoracolumbar...
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相关实验视频

Updated: May 6, 2026

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
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人类运动意图识别与大腿安装的IMU

Stella Ansah, Se Young Yoon, Diliang Chen

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    这项研究引入了一种新方法,使用大腿传感器来识别动力假肢的预期运动. 它达到99%以上的准确性,为截肢者提供了及时和优化的假肢控制.

    科学领域:

    • 生物医学工程 生物医学工程
    • 康复技术 康复技术 康复技术
    • 人与机器的互动 人与机器的互动

    背景情况:

    • 动力假肢增强了截肢者的移动性和独立性.
    • 准确的意图识别对于无用户-假肢互动至关重要.
    • 现有的方法通常需要多个传感器,并与不同的步行速度作斗争.

    研究的目的:

    • 开发一种用于动力假肢的新,实用的意图识别系统.
    • 为了克服多传感器设置和固定窗口分析的局限性.
    • 通过准确预测用户的运动意图来改善假肢控制.

    主要方法:

    • 使用仅用于大腿上的惯性测量单元 (IMU).
    • 实施基于事件的特征提取方法.
    • 在10名健康受试者的步行,爬楼梯和下降活动中验证了10200个步骤.

    主要成果:

    • 在所有受试者中实现了>99%的意图识别准确性 (Leave-One-Subject-Out验证).
    • 在不同的步行速度和活动中成功地泛化.
    • 识别用户活动在下一个脚接触事件之前150-724ms.

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    结论:

    • 拟议的基于IMU的事件驱动方法为动力假肢控制提供了一种实际的解决方案.
    • 高精度和早期预测证明了对现实世界应用的巨大潜力.
    • 这种方法促进了对假肢设备的优化和及时控制.