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相关概念视频

Muscles of the Forearm that Move the Hand and Fingers01:17

Muscles of the Forearm that Move the Hand and Fingers

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The muscles of the forearm that move the wrist, hand, and digits are numerous and diverse. They can be classified into two groups based on their location and function — the anterior and posterior compartment muscles.
Anterior Compartment
The anterior compartment muscles originate from the humerus. They primarily function as flexors and are also known as flexor muscles. They typically insert on the carpals, metacarpals, and phalanges. The superficial layer includes the flexor carpi...
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相关实验视频

Updated: Sep 16, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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织物感应手部内在肌肉活动的内在肌肉活动

Katelyn Lee, Runsheng Wang, Ava Chen

    IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
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    这项研究引入了一种带有电极的新织袖子,用于测量指肌肉活动,用于可穿戴机器人. 这种非侵入性传感器为中风幸存者的手部康复提供了一个低成本,轻量级的替代方案.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 康复机器人 康复机器人
    • 可穿戴技术可穿戴技术

    背景情况:

    • 可穿戴机器人可以帮助中风幸存者恢复手部功能.
    • 目前的表面电肌图 (sEMG) 系统通常使用外部手肌,需要前臂放置.
    • 固体手肌固体电极可能是重的,妨碍功能.

    研究的目的:

    • 开发和评估一种新的传感套,用于使用织电极测量指内在肌肉活动.
    • 探索一种可访问的sEMG传感方法,用于内在指肌肉,克服传统电极的局限性.
    • 评估织传感器在可穿戴手机器人中的非侵入性控制潜力.

    主要方法:

    • 开发了一种新型的传感套,采用织物电极.
    • 评估套套在检测来自内在指肌肉的sEMG信号方面的性能.
    • 在孤立和同度的指和手指肌肉收缩期间进行测试.

    主要成果:

    • 织套件成功测量了来自指内在肌肉的sEMG活性.
    • 该系统在检测指运动和肌肉收缩方面表现出有效性.
    • 织物电极被证明是可行的,用于手上的非侵入性的sEMG传感.

    结论:

    • 基于织品的传感器代表了可穿戴机器人中sEMG传感的有前途,低成本,轻量级和非侵入性的解决方案.
    • 这项技术在改善中风幸存者的手部功能辅助和康复方面具有显著的潜力.
    • 开发的传感套为用于手部内在肌肉活动的传统sEMG传感器提供了可行的替代方案.