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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

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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生物启发的自适应框架,用于优化被动膝关节假肢运动.

Muhammad Asif1, Mohsin Islam Tiwana2, Waqar Shahid Qureshi3

  • 1National University of Sciences and Technology (NUST), Department of Mechatronics Engineering, Islamabad 44000, Pakistan; College of Electrical and Mechanical Engineering of NUST, National Centre of Robotics and Automation (NCRA), Islamabad 44000, Pakistan; University of Engineering and Technology (UET) Taxila, Taxila, Department of Mechatronics Engineering, 47080, Pakistan.

Journal of the mechanical behavior of biomedical materials
|September 23, 2025
PubMed
概括

这项研究开发了一种适应性的生物灵感框架,用于被动膝关节假肢,改善截肢者的移动性和预防跌倒. 该系统使用大腿力量和深度学习来进行自然步行辅助.

关键词:
自动适应的框架.生物启发的生物灵感.减压调节的调整深度学习是一种深度学习.预防跌倒,防止跌倒.步态分析 步态分析被动膝盖假肢是一种被动的膝盖假肢.

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科学领域:

  • 生物医学工程 生物医学工程
  • 机器人技术 机器人技术 机器人技术
  • 生物力学 生物力学

背景情况:

  • 截肢者面临着被动膝关节假肢的移动性挑战.
  • 现有的假肢往往缺乏适应自然步行的能力.
  • 恢复截肢者的功能和舒适度是一个重要的未满足的需求.

研究的目的:

  • 开发一种生物灵感的适应性框架,用于被动膝关节假肢.
  • 模仿自然步行并补偿失去的四肢移动性.
  • 为了提高下肢截肢者的生活质量.

主要方法:

  • 开发了一个使用大腿骨输入功率和缓冲控制机制的框架.
  • 集成传感器用于实时数据采集.
  • 采用深度学习架构进行步行阶段事件分类.

主要成果:

  • 使用深度学习实现了94.44%的步行阶段事件分类准确度.
  • 证明了优化运动,减少部步和减少疲劳.
  • 保持了正常的膝盖曲 (64°±6),并实现了95%的跌倒预防.

结论:

  • 拟议的框架显著提高了被动膝关节假肢的功能和舒适性.
  • 这项创新为增强截肢者的移动性和安全性提供了一个有希望的解决方案.
  • 这项研究有助于推进假肢技术,以改善截肢者的生活质量.