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

Comparison of reconstruction kernel and monochromatic energy pairs used in dual energy CT imaging of the proximal humerus.

Journal of the mechanical behavior of biomedical materials·2026
Same author

A novel methodological framework for the assessment of the neural control of the shoulder using high-density surface electromyography.

Methods (San Diego, Calif.)·2026
Same author

Additional shoulder roll may not augment the simulation of freestyle stroke kinematics on a swim bench.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2026
Same author

Internal Density Calibration in the Proximal Humerus to Estimate Bone Stiffness for Stemless Shoulder Arthroplasty.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2026
Same author

Relationship between changes in neuromuscular factors and disability outcomes following a resistance exercise intervention in rotator cuff tendinopathy.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2025
Same author

Examining a Stabilization Center for Patients with Alcohol or Opioid Intoxication Transported by Paramedics: A Cohort Study of an Emergency Department Diversion Model.

Prehospital emergency care·2025

相关实验视频

Updated: Jun 30, 2025

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

740

一个机器学习驱动的主动-被动上肢外骨架机器人的评估:实验性人体循环研究.

Ali Nasr1, Jason Hunter1, Clark R Dickerson2

  • 1Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.

Wearable technologies
|March 15, 2024
PubMed
概括

这项研究引入了一个主动-被动的肩部外骨架,配备了一种基于表面电肌图 (sEMG) 的新型控制系统. 与完全被动设计相比,新的外骨显著减少了用户的肌肉努力和疲劳.

关键词:
可穿戴机器人可穿戴机器人主动被动 活动被动辅助控制系统的辅助控制外骨是外骨的组成部分.人类在循环中的控制控制

更多相关视频

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.0K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.3K

相关实验视频

Last Updated: Jun 30, 2025

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

740
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.0K
Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.3K

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 生物力学 生物力学
  • 人与机器人的交互

背景情况:

  • 设计有效的外骨控制器是具有挑战性的,因为复杂的人机交互,传感器/执行器选择和通信问题.
  • 评估外骨性能的现有方法可能耗时,可能无法完全捕捉用户体验.

研究的目的:

  • 开发一个测试框架,用于评估一种新的主动-被动肩部外骨架.
  • 创建和验证基于表面电肌图 (sEMG) 的人机合作控制方法,用于直观的外骨操作.

主要方法:

  • 实施了一种分层控制策略,集成基于sEMG的意图估计,强度调节和执行器控制.
  • 进行了肩关节升高实验,比较了主动-被动,完全被动和完全活跃的外骨架控制.
  • 通过测试后的调查,负载耐受性持续时间和人类扭矩,功率和代谢能量消耗的逆动态模拟来评估性能.

主要成果:

  • 与完全被动控制相比,主动-被动外骨显示,与完全被动控制相比,所需的用户肌肉激活扭矩减少了50%.
  • 疲劳指标在活动-被动状态相对于完全被动状态,减少了3的因素.
  • 基于sEMG的控制方法有效地将佩戴者的运动意图转化为外骨架辅助.

结论:

  • 开发的积极-被动肩部外骨架及其基于sEMG的控制系统在减少用户的精力和疲劳方面提供了显著的优势.
  • 新的测试框架为评估外骨性能和控制策略提供了一个强大的方法.
  • 这项研究有助于推进可穿戴辅助设备的更直观,更有效的人机合作系统.