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相关概念视频

Skeletal Muscle Anatomy00:55

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Skeletal muscle is the most abundant type of muscle in the body. Tendons are the connective tissue that attaches skeletal muscle to bones. Skeletal muscles pull on tendons, which in turn pull on bones to carry out voluntary movements.
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The muscles surrounding the shoulder girdle, including the clavicle and scapula, primarily stabilize the scapula. This stable base allows other muscles to move the humerus effectively. Scapular movements often mirror those of the humerus and extend its range of motion. For instance, raising the arm above the head would not be feasible without simultaneous upward rotation of the scapula.
Anterior Thoracic Muscles
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相关实验视频

Updated: Apr 29, 2026

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
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嵌入式机器学习系统用于检测肩部脱节患者的肌肉模式.

Erick Guzmán-Quezada1, Claudia Mancilla-Jiménez2, Fernanda Rosas-Agraz1,3

  • 1Departamento de Electromecánica, Universidad Autónoma de Guadalajara, Guadalajara 45129, Mexico.

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概括

这项研究开发了一种便携式人工智能系统,用于实时电肌图 (EMG) 信号分类,以控制假肢设备. 该系统准确地解释肌肉活动,增强假肢功能和用户体验.

关键词:
边缘冲动平台的平台是边缘冲动.人工智能的人工智能是人工智能.电肌图学信号 电肌图学信号便携式系统便携式系统假肢控制系统 假肢控制系统肩膀关节的运动 肩膀关节的运动

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科学领域:

  • 生物医学工程 生物医学工程
  • 人工智能的人工智能
  • 康复技术 康复技术 康复技术

背景情况:

  • 人工智能 (AI) 的进步对于为假肢设备开发复杂的控制系统至关重要.
  • 电肌图 (EMG) 信号分类是实现直观和响应性假肢控制的关键.
  • 现有的系统通常面临着可移植性和实时处理能力的局限性.

研究的目的:

  • 开发和评估基于人工智能的便携式系统,用于实时EMG信号分类.
  • 通过肩部肌肉活动来实现对假肢设备的执行器控制.
  • 增强假肢的自主性和功能.

主要方法:

  • 使用低功率微控制器进行连续的EMG信号记录.
  • 在边缘设备上使用Edge Impulse平台进行AI模型开发和部署.
  • 进行了一项涉及左肩脱节患者的案例研究,在两天内收集EMG数据进行培训和实时测试.

主要成果:

  • 人工智能系统展示了EMG信号的准确和快速实时分类.
  • 该系统成功地将肌肉的电活动转化为假肢执行器的控制命令.
  • 便携式设计促进了连续的信号记录,并增强了用户的移动性.

结论:

  • 基于人工智能的便携式系统显示出先进的假肢控制的巨大潜力.
  • 实时EMG信号分类是可行的,可以改善假肢用户的功能.
  • 这项技术为使用假肢设备的个人提供了一条改善生活质量的途径.