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

Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.

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

Lanzhou Lily (<i>Lilium davidii var. unicolor</i>) Extract Alleviates Chronic Stress-Induced Mood Disturbances by Suppressing Neuroinflammation and Modulating the Gut-Brain Axis in Mice.

Food science & nutrition·2026
Same author

Machine Learning-Assisted Surface Ligand Engineering Strategy for Enhanced Sensitivity of Immunoassay Platform.

Analytical chemistry·2026
Same author

Delayed Arousal Response to Sleep Apnea Encodes Mortality.

medRxiv : the preprint server for health sciences·2026
Same author

Controlling thermoreversibility and hole conductivity in thermoresponsive ionic biogels using phase morphology for neurohaptics.

Science advances·2026
Same author

Role of nutritional indices (PNI, CONUT, GNRI) in predicting delirium in hospitalised individuals: A systematic review and meta-analysis.

General hospital psychiatry·2026
Same author

Interpreting topical antibiotic prophylaxis in posterior spinal fusion: beyond overall infection rates.

Spine deformity·2026
Same journal

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026
Same journal

NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysis.

IEEE journal of biomedical and health informatics·2026
Same journal

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

IEEE journal of biomedical and health informatics·2026
Same journal

Improving Multi-Sensor Non-Invasive Glucose Detection through AI: A Domain Generalization Approach.

IEEE journal of biomedical and health informatics·2026
Same journal

Unmixing the Neck: Accurate Jugular Venous Pulse Detection From Wearable PPG.

IEEE journal of biomedical and health informatics·2026
Same journal

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 26, 2026

Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

7.8K

从表面电动图分解任务相关的信息,用于用户通用的敏捷指力解码.

Jiahao Fan, Xiaogang Hu

    IEEE journal of biomedical and health informatics
    |April 3, 2024
    PubMed
    概括
    此摘要是机器生成的。

    本研究介绍了一种用户通用的电肌图解码 (EMG) 解码方法,用于运动意图检测. 新的功能解方法准确地预测了新用户的多指力,优于现有方法.

    更多相关视频

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
    09:14

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

    Published on: September 28, 2019

    11.5K
    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    465

    相关实验视频

    Last Updated: Jun 26, 2026

    Force and Position Control in Humans - The Role of Augmented Feedback
    06:31

    Force and Position Control in Humans - The Role of Augmented Feedback

    Published on: June 19, 2016

    7.8K
    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction
    09:14

    Surface Electromyographic Biofeedback as a Rehabilitation Tool for Patients with Global Brachial Plexus Injury Receiving Bionic Reconstruction

    Published on: September 28, 2019

    11.5K
    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    465

    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.
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 基于电肌图 (EMG) 的运动意图检测算法通常是特定于用户的,这限制了它们的广泛应用.
    • 高的人际变化和信号干扰对开发通用EMG模型构成挑战.

    研究的目的:

    • 开发一种用户通用的算法,用于从EMG信号中准确检测运动意图.
    • 为未见的用户提供连续的多指力预测.

    主要方法:

    • 通过使用类似于自动编码器的架构实现了功能解方法.
    • 将EMG振幅特征分解成用户不变和用户敏感的表示.
    • 对八个受试者的模型进行了评估,用于同时预测三指力,使用离开一个受试者的验证.

    主要成果:

    • 与传统的EMG振幅和PCA方法相比,实现了较低的力预测误差 (RMSE:6.91 ± 0.45% MVC) 和更高的分类准确度 (83.0 ± 4.5%).
    • 在与最先进的神经网络对比的用户通用力预测中表现出卓越的性能.

    结论:

    • 拟议的特征解方法为肌电控制提供了准确和用户通用的神经解码.
    • 这种方法为开发适应性和高效的辅助机器人手提供了重大进展.