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

Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.1K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
4.1K
Relaxation of Skeletal Muscles01:29

Relaxation of Skeletal Muscles

5.5K
The period of muscle contraction primarily influences the duration of stimulation at the neuromuscular junction (NMJ), the presence of free calcium ions in the sarcoplasm, and the availability of energy or ATP to support contractions.
When an action potential reaches the axon terminal, it depolarizes the membrane and opens voltage-gated sodium channels. Sodium ions enter the cell, further depolarizing the presynaptic membrane. This depolarization causes voltage-gated calcium channels to open....
5.5K
Motor Unit Stimulation01:20

Motor Unit Stimulation

3.5K
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...
3.5K

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

Ubiquitination in ischemic stroke: molecular mechanisms and therapeutic implications.

Brain research bulletin·2026
Same author

Corrigendum to 'Wavelength-dependent photobiomodulation attenuates synovial inflammation in fibroblast-like synoviocytes and a collagenase-induced osteoarthritis model' [Journal of Photochemistry & Photobiology B: Biology Volume 272 (2025) 113276].

Journal of photochemistry and photobiology. B, Biology·2026
Same author

Centrifugal microfluidics for rapid target analyte quantification in airborne bioaerosols.

Lab on a chip·2026
Same author

Skin-interfaced microfluidic capsule and portable lab-on-a-disc platform for sweat-based monitoring of prenatal nutrient balance.

Nature biomedical engineering·2026
Same author

Mechanistic insights into chlorpyrifos-induced nephrotoxicity revealed by network toxicology and molecular docking.

Drug and chemical toxicology·2026
Same author

Current status and future prospects of immunotherapy for pancreatic ductal adenocarcinoma.

Journal of cancer research and therapeutics·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
Same journal

A Low-Cost Wearable TI-TACS Stimulator With Bipolar Quadratic-Boost Converter for Current Stimulation Validation in the Rat Brain.

IEEE transactions on bio-medical engineering·2026
Same journal

EMG-Based Gait Estimation Using Koopman-Inspired Method.

IEEE transactions on bio-medical engineering·2026
Same journal

Soft Everting Robots for Medical Applications: A Review.

IEEE transactions on bio-medical engineering·2026
Same journal

Arterial spin labeling cerebral blood flow quantification from quantitative transport mapping based on multiscale fluid mechanics simulation and deep learning.

IEEE transactions on bio-medical engineering·2026
查看所有相关文章

相关实验视频

Updated: Jan 15, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

10.2K

自动化肌肉路径校准与梯度指定的优化,基于动量臂的动量臂.

Ziyu Chen, Tingli Hu, Sami Haddadin

    IEEE transactions on bio-medical engineering
    |October 13, 2025
    PubMed
    概括
    此摘要是机器生成的。

    准确校准肌肉路径对于肌肉骨模拟至关重要. 本研究介绍了一种使用分析梯度的优化方法,以高效准确地复制肌肉路径,提高模拟保真度.

    更多相关视频

    Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
    07:40

    Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

    Published on: June 10, 2020

    15.2K
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.9K

    相关实验视频

    Last Updated: Jan 15, 2026

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
    06:58

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

    Published on: November 6, 2015

    10.2K
    Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
    07:40

    Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot

    Published on: June 10, 2020

    15.2K
    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
    11:06

    A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

    Published on: April 12, 2016

    10.9K

    科学领域:

    • 生物力学 生物力学
    • 计算建模计算建模
    • 肌肉骨模拟系统的模拟

    背景情况:

    • 肌肉路径建模对于准确的肌肉骨模拟至关重要,因为肌肉运动臂将肌肉力量转化为关节运动.
    • 由于复杂的参数关系和关节配置,当前的方法在校准肌肉路径方面面临挑战.
    • 精确的肌肉时刻臂显著影响肌肉骨模拟的准确性.

    研究的目的:

    • 开发一种高效准确的方法来校准肌肉路径在肌肉骨建模.
    • 通过完善时刻臂计算,改进肌肉力的转化为关节时刻.
    • 为了提高各种应用的肌肉骨模拟的准确性.

    主要方法:

    • 采用了优化方法,强调分析梯度.
    • 开发了一种方法来区分成本函数,以提高优化速度和准确性.
    • 配置了优化过程,以精确校准肌肉路径.

    主要成果:

    • 从最先进的肩膀-手臂模型中证明了肌肉路径的快速和准确复制.
    • 通过使用拟议的优化方法,成功克服了肌肉路径校准方面的困难.
    • 展示了该方法在复制复杂肌肉路径方面的性能.

    结论:

    • 开发的方法有效地校准了肌肉路径,克服了先前对通用和特定学科模型的限制.
    • 这种方法可以有效地提高肌肉骨建模中的模拟精度.
    • 应用包括改善康复规划,预测外科手术结果和体育表现分析.