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 Unit Stimulation01:20

Motor Unit Stimulation

1.6K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
1.6K
Muscle Stimulation Frequency01:22

Muscle Stimulation Frequency

2.2K
The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...
2.2K
Action Potential01:31

Action Potential

8.0K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
8.0K
Force Classification01:22

Force Classification

1.2K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.2K
Motor Units01:13

Motor Units

4.0K
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...
4.0K
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

5.7K
The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
5.7K

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

Lower limb motion intention recognition using multi-source able-bodied gait signals.

Journal of neural engineering·2026
Same authorSame journal

Quantitative analysis of evoked haptic sensations by transcutaneous electrical nerve stimulation for electrode array size optimization.

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

Spatiotemporal dynamics of renal distal convoluted tubule dilatation and cyst formation in nephronophthisis type 1 mice.

Renal failure·2026
Same author

Domain-aware domain-class adaptation network for motor execution to motor imagery EEG classification.

Frontiers in neuroscience·2026
Same author

Noise-Driven Feature Enhancement of High-Frequency SSVEP Through Underdamped Second-Order Stochastic Resonance Energy Transfer.

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

Molecular mechanisms of the MLL4 complex in H3K4 methylation and p53-dependent transcription activation.

Molecular cell·2026

相关实验视频

Updated: Jul 4, 2025

Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle
06:54

Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle

Published on: December 26, 2020

5.3K

使用卷积神经网络来追踪运动单元的高可变性动作潜力的分类.

Yixin Li, Yang Zheng, Guanghua Xu

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
    |February 9, 2024
    PubMed
    概括

    一种新的卷积神经网络 (CNN) 方法准确地分类动力单元动作潜力 (MUAP) 尽管有变化,改进动力单元 (MU) 追踪. 这种CNN方法在实验和模拟电肌图 (EMG) 数据中显著优于传统方法.

    更多相关视频

    Simultaneous Intracellular Recording of a Lumbar Motoneuron and the Force Produced by its Motor Unit in the Adult Mouse In vivo
    13:07

    Simultaneous Intracellular Recording of a Lumbar Motoneuron and the Force Produced by its Motor Unit in the Adult Mouse In vivo

    Published on: December 5, 2012

    14.7K
    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
    11:20

    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

    Published on: June 2, 2014

    12.0K

    相关实验视频

    Last Updated: Jul 4, 2025

    Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle
    06:54

    Functional Isolation of Single Motor Units of Rat Medial Gastrocnemius Muscle

    Published on: December 26, 2020

    5.3K
    Simultaneous Intracellular Recording of a Lumbar Motoneuron and the Force Produced by its Motor Unit in the Adult Mouse In vivo
    13:07

    Simultaneous Intracellular Recording of a Lumbar Motoneuron and the Force Produced by its Motor Unit in the Adult Mouse In vivo

    Published on: December 5, 2012

    14.7K
    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
    11:20

    Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

    Published on: June 2, 2014

    12.0K

    科学领域:

    • 生物医学工程 生物医学工程
    • 神经科学是一个神经科学.
    • 信号处理 信号处理

    背景情况:

    • 准确地分类动力单元动作潜力 (MUAPs) 对于跟踪动力单元 (MU) 活动至关重要.
    • 由于现实世界的因素,MUAP配置文件的变化挑战了精确的MUAP分类和跟踪.
    • 现有的方法,比如基于相似度指数 (SI) 的方法,与高度可变的MUAP数据作斗争.

    研究的目的:

    • 开发一种有效的基于卷积神经网络 (CNN) 的方法来对高度可变的MUAP进行分类.
    • 通过提高 MUAP 分类的准确性来增强动力单元 (MU) 追踪.
    • 用实验和合成电肌图 (EMG) 数据对拟议的CNN方法与传统技术进行评估.

    主要方法:

    • 人工引入合成EMG信号中的MUAP变异,并通过前臂姿势变化诱导实验信号.
    • 结合重叠的分段智能的EMG分解和尖端触发平均值,以获得单独的MUAP波形.
    • 使用拟议的CNN方法进行分类性能测试,并与传统的基于SI的方法进行比较.

    主要成果:

    • 与基于SI的方法相比,基于CNN的方法在实验数据中获得了显著更高的分类准确性 (93.3%±5.4%),而不是基于SI的方法 (56.2%±13.9%).
    • 在模拟研究中,CNN方法表现出较高的尖端一致性 (71.1%±10.2%) 与基于SI的方法 (29.2%±11.0%) 相比,变化减少.
    • 该CNN方法在准确区分具有实质变异的MUAP方面被证明是高效和强大的.

    结论:

    • 拟议的基于CNN的方法有效地分类高变量的MUAP,显著改善MU跟踪.
    • 这种先进的分类技术为在生理和病理条件下分析神经肌肉系统变化提供了强大的解决方案.
    • 进一步的发展有望推动研究,需要精确的MU活动跟踪.