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

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

Surface EMG-Validated Multi-DoF Wheelchair-Based Rehabilitation Device.

Bioengineering (Basel, Switzerland)·2026
Same author

Adaptive Motion-Augmenting Glove for Personalized Hand Rehabilitation Using Biomechanical Feedback.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

AI-Enhanced Motor Power Analysis for Joint Kinematics Prediction and Fault Detection in Rehabilitation Systems.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Real-Time Hand Rehabilitation: FPGA-Accelerated Neural Network for Muscle Activity Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

HADAR Hand: 13-DoF Hybrid Actuation-Based Dextrous Anthropomorphic Robotic Hand.

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

ThermalBP: A Unified Thermal Imaging Model to Estimate Blood Pressure.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
查看所有相关文章

相关实验视频

Updated: Jul 8, 2025

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

使用基于表面的EMG系统自动化微手术工具分类.

Manaswitha Reddy, Prashanth Jonna, Samhitha Perala

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    基于表面的电肌图 (sEMG) 信号可以准确地检测微手术工具的使用情况. 这项试点研究实现了97.43%的准确性,使用机器学习对五种工具进行了分类,为外科手术技能评估提供了一种新方法.

    更多相关视频

    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

    503
    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
    09:42

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

    Published on: January 24, 2025

    560

    相关实验视频

    Last Updated: Jul 8, 2025

    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

    503
    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
    09:42

    Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography

    Published on: January 24, 2025

    560

    科学领域:

    • 生物医学工程 生物医学工程
    • 手术技术 手术技术
    • 机器学习在医学中的应用

    背景情况:

    • 手术工具的选择和使用极大地影响了手术的结果.
    • 目前用于手术工具的基于视频的检测方法存在局限性,例如掩盖信息和未能捕获触觉反.
    • 除了视觉数据之外,提取局部信息对外科评估有价值.

    研究的目的:

    • 评估采用基于表面的电肌图 (sEMG) 信号来检测微手术工具的应用.
    • 开发和测试一种机器学习模型,基于sEMG信号对微手术工具进行分类.
    • 探索sEMG作为一种方法来描述工具处理和评估外科医生的技能.

    主要方法:

    • 设计并使用了一种双通道的sEMG采集系统.
    • 创建了一个分阶段,监督的微手术工具使用数据集.
    • 从每个sEMG通道中提取了五个手工制作的特征,并用于训练人工神经网络 (ANN) 模型.

    主要成果:

    • 该ANN模型在分类五种不同的微型手术工具时实现了97.43%的准确性.
    • 分类是基于通过sEMG信号检测到的压释动作.
    • 该研究证明了使用sEMG用于工具检测的可行性.

    结论:

    • sEMG信号为检测和分类微手术工具提供了一种可行的方法.
    • 这种方法提供了一种新的方法来评估微妙的工具处理特征,补充基于视频的评估.
    • 开发的系统代表了向先进的工具表征和客观的外科医生技能评估迈出的一步.