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

Muscles of the Shoulder01:23

Muscles of the Shoulder

11.9K
The muscles surrounding the shoulder girdle, including the clavicle and scapula, primarily stabilize the scapula. This stable base allows other muscles to move the humerus effectively. Scapular movements often mirror those of the humerus and extend its range of motion. For instance, raising the arm above the head would not be feasible without simultaneous upward rotation of the scapula.
Anterior Thoracic Muscles
The anterior thoracic muscles include the serratus anterior, subclavius, and...
11.9K

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

Clinical validation of automated depth camera-based measurement of the Fugl-Meyer assessment for upper extremity.

Clinical rehabilitation·2024
Same author

Automatic range of motion measurement via smartphone images for telemedicine examination of the hand.

Science progress·2023
Same author

Automatic Detection of Horner Syndrome by Using Facial Images.

Journal of healthcare engineering·2022
Same author

Precision and accuracy of measuring finger motion with a depth camera: a cross-sectional study of healthy participants.

The Journal of hand surgery, European volume·2022
Same author

Site of Nerve Division Affects Pain-Related Behavior and Spinal Cord Glial Proliferation after C7 Neurotomy in a Rat Stroke Model.

Pain research & management·2022
Same author

Properties Regulation and Biological Applications of Decellularized Peripheral Nerve Matrix Hydrogel.

ACS applied bio materials·2022
Same journal

Correction: Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey.

Journal of medical Internet research·2026
Same journal

A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges.

Journal of medical Internet research·2026
Same journal

Using a Large Language Model to Support Thematic Analysis of Patient Experiences in Chronic Illness Management: Comparative Qualitative Study.

Journal of medical Internet research·2026
Same journal

Combined Internet-Based Cognitive Behavioral Therapy and Face-to-Face Physiotherapy in Primary Health Care for Chronic Widespread Pain: Randomized Controlled Trial.

Journal of medical Internet research·2026
Same journal

Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.

Journal of medical Internet research·2026
Same journal

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

Journal of medical Internet research·2026
查看所有相关文章

相关实验视频

Updated: Apr 14, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K

移动常数,一个自报的肩部功能评估方法:发展和验证研究

Jingyuan Fan1, Tao Zhang2, Fanbin Gu1

  • 1Department of Microsurgery, Orthopedic Trauma and Hand Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Journal of medical Internet research
|September 3, 2025
PubMed
概括
此摘要是机器生成的。

使用移动传感器的新自动化系统可靠地评估肩部功能, 匹配人类评分器的准确性, 以持续监测患者并改善生活质量.

关键词:
恒定-默利尺度机器学习位置估计评估肩部功能远程监控

更多相关视频

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.9K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

相关实验视频

Last Updated: Apr 14, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.0K
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.9K
Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

6.8K

科学领域:

  • 生物医学工程
  • 肌肉骨疾病
  • 数字健康

背景情况:

  • 肩部疼痛是影响生活质量的常见问题.
  • 目前的评估方法需要临床医生的参与,限制了持续监测.
  • 位置估计和传感器的进步使得自动评估成为可能.

研究的目的:

  • 介绍移动常数,一个自动化系统来评估肩部功能.
  • 使用运动图像和惯性传感器数据进行客观测量.
  • 根据标准的人类评估对系统的可靠性进行评估.

主要方法:

  • 综合的主观问卷,运动范围和力量分析.
  • 从培训,内部和外部验证组中收集了141名患者的数据.
  • 开发了六个机器学习模型,并使用Cohen κ和ICC评估了可靠性.

主要成果:

  • 移动常数显示出相当可靠的运动范围 (κ: 0.4980.819,ICC: 0.8980.956).
  • 检测强度的可靠性显著 (κ: 0. 707 0. 809,ICC: 0. 759 0. 906).
  • 该系统与经验丰富的人类评价者达成了实质性的共识.

结论:

  • 该自动化系统提供可靠的,由患者进行的肩部功能评估.
  • 移动恒定显示出远程监控患者的巨大潜力.
  • 这项技术可以改善肩部状况的持续管理.