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相关概念视频

Knee Joint01:23

Knee Joint

The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris group...

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相关实验视频

Updated: Jun 17, 2026

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
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双摄像头无标记运动捕捉系统用于骨关节炎下肢动力学分析.

Bo Hu1,2,3, Junqing Wang1,2, Wei Xu1,4,5

  • 1Department of Orthopedic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37# Guoxue Road, Chengdu, Sichuan Province, China.

Annals of biomedical engineering
|September 22, 2025
PubMed
概括

一个新的双摄像头无标记系统准确地测量了骨关节炎患者的下肢动力学. 这种具有成本效益的系统简化了临床使用的生物力学评估.

关键词:
人工智能的人工智能是人工智能.生物力学 生物力学步态分析 步态分析无标记的运动捕捉.三角测量是三角测量的方法.

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In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
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相关实验视频

Last Updated: Jun 17, 2026

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科学领域:

  • 生物力学 生物力学
  • 医疗成像医学成像
  • 整形外科 整形外科 整形外科

背景情况:

  • 骨关节炎 (OA) 的诊断和监测通常依赖于精确的下肢动力学分析.
  • 传统的基于标记器的运动捕捉系统是有效的,但成本高且复杂.
  • 在临床环境中需要更简单,更容易获得的动力学评估方法.

研究的目的:

  • 开发和验证用于测量下肢运动的双摄像头无标记系统.
  • 为了评估系统与黄金标准的基于标记器的运动捕捉系统的协议.
  • 评估系统对患有骨关节炎的患者的实用性.

主要方法:

  • 开发了一个双摄像头无标记系统,使用基于神经网络的2D姿势提取器和3D三角测量.
  • 从152名骨关节炎患者同时采集动态步态数据,使用无标记器和基于标记器的系统.
  • 使用根平均平方距离 (RMSD),根平均平方误差 (RMSE) 和类内相关系数 (ICC) 来评估协议.

主要成果:

  • 无标记系统实现了总平均RMSD11.0毫米,关键点的ICC为0.95.
  • 关节角度分析显示,平均RMSE为4.25°.
  • 联合角度波形的ICC值达到了0.90 (三角形),0.48 (正面) 和0.24 (横平面).

结论:

  • 双摄像头无标记系统在患者群体中提供准确的下肢动力学测量.
  • 该系统在成本效益,安装方便和减少专业知识要求方面具有优势.
  • 这项技术为临床应用提供了高效的生物力学评估.