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相关实验视频

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通过使用深度强化学习辅助远程存在机器人进行手臂损伤的远程健康支持的家庭肘部康复.

Muhammad Nasir Khan1, Ali Altalbe2,3, Fawad Naseer4

  • 1Electrical Engineering Department, Government College University Lahore, Lahore 54000, Pakistan.

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概括

臂损伤 (BPI) 患者在家中使用远程存在机器人实现了更好的肘部康复. 与传统方法相比,这种方法改善了肌肉力量和运动范围.

关键词:
臂状结质损伤的伤害肘部曲练习 肘部曲练习康复康复康复康复康复康复远程医疗服务是远程医疗服务.远程存在机器人远程存在机器人

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科学领域:

  • 神经学 神经学
  • 机器人技术 机器人技术 机器人技术
  • 康复医学 康复医学 康复医学

背景情况:

  • 臂损伤 (BPIs) 显著损害上肢功能和生活质量.
  • 上肢受伤对全球残疾调整寿命年 (DALYs) 的贡献很大.
  • 远程医疗解决方案可以解决BPI患者的接入障碍,特别是在中低收入国家.

研究的目的:

  • 评估深度强化学习 (DRL) 辅助远程存在机器人的有效性,用于在BPI患者的家庭肘部康复.
  • 为了比较机器人辅助康复与传统方法的结果.

主要方法:

  • 为期六个月的远程存在机器人部署,使用深度决定性政策梯度 (DDPG) 算法进行肘部曲练习.
  • 优化了DRL架构,以最大限度地实现以患者为中心的机器人手臂运动.
  • 对BPI患者进行了家庭康复课程.

主要成果:

  • 使用远程存在机器人的患者在力量炼中平均增加了4.7%.
  • 运动范围 (ROM) 平均有5.2%的改善.
  • 与传统技术相比,远程存在机器人辅助康复显示出更好的结果.

结论:

  • 远程存在机器人为BPI患者的家庭康复提供了实用和有效的解决方案.
  • 这项技术有望促进远程康复,并应对更广泛的身体康复挑战.
  • 需要在机器人辅助远程康复方面进行进一步的研究和开发.