Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Motor Units01:13

Motor Units

4.7K
The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
4.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Validated Framework for Decoding Motor Unit Firings and Resulting Ankle Moments During Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

The variability of reflex amplitude estimates in motor unit pools depends on the phenotype distribution and discharge statistics.

bioRxiv : the preprint server for biology·2026
Same author

Continuous volitional control of a bionic leg supports diverse walking patterns in both agonist-antagonist muscle interface and bone-anchored prosthesis users.

PNAS nexus·2026
Same author

AI in therapeutic and assistive exoskeletons and exosuits: Influences on performance and autonomy.

Science robotics·2025
Same author

Closed-Loop Control of Large Assistive Torques to Unknown External Loads via a Back Support Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

Simultaneous Perturbation of Knee and Ankle Joints During Stance Phase of Walking: Towards Biological Joint Impedance Estimation.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025

相关实验视频

Updated: Sep 16, 2025

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

8.9K

适应性动力单元在行走时的分解:朝着系统的验证.

Antonio Gogeascoechea, Nathan Van Dieren, Utku S Yavuz

    IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
    |July 11, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的方法来跟踪运动单元 (MU) 在行走时使用高密度电肌图 (RDEMG) 的行为. 适应性方法准确地解码了MU的发射和激活,这对于开发先进的辅助技术至关重要.

    更多相关视频

    Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
    14:55

    Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

    Published on: April 18, 2011

    13.9K
    Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases
    06:08

    Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

    Published on: April 19, 2024

    525

    相关实验视频

    Last Updated: Sep 16, 2025

    Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
    08:19

    Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

    Published on: January 15, 2016

    8.9K
    Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
    14:55

    Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI

    Published on: April 18, 2011

    13.9K
    Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases
    06:08

    Author Spotlight: Studying Neuromuscular Responses and Motor Neuron Plasticity in Neurodegenerative Diseases

    Published on: April 19, 2024

    525

    科学领域:

    • 神经科学是一个神经科学.
    • 生物力学 生物力学
    • 生物医学工程 生物医学工程

    背景情况:

    • 了解运动单元 (MU) 行为是人类运动控制和辅助技术开发的关键.
    • 目前分析MU活动的方法是有限的,特别是在动态活动中,如移动.
    • 准确的MU抽反应特征对于解读肌肉收缩机制至关重要.

    研究的目的:

    • 提出一种适应性,在线能力的方法来解码唯一的MU发射事件和机车移动期间的激活动态.
    • 根据既有方法和生物力学数据验证拟议的框架.
    • 为了实现适应式辅助设备的实时MU特定激活分析.

    主要方法:

    • 开发了一个使用先进的盲源分离技术用于MU检测和非静止信号分析的框架.
    • 实施了用于参数导出的离线过程和用于实时MU分析的在线自适应策略.
    • 验证了对肌内EMG和对脚关节瞬间的MU特异激活进行解码的MU尖峰列车.

    主要成果:

    • 适应性在线方法证明了与肌内EMG衍生的MU尖列车的改进一致.
    • 在解码的MU特异激活和在运动过程中测量的脚关节时刻之间发现了强烈的相关性.
    • 该方法成功地解决了非静态的MU动作潜力的变化.

    结论:

    • 提出的自适应方法有效地解码了机车在移动期间的MU发射和激活动态.
    • 这种方法为适应性辅助设备的实时应用提供了显著的希望,用于个性化康复和进度跟踪.
    • 这些发现有助于我们更好地理解人类运动中神经控制的过程.