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通过虚拟现实训练增强的脑计算机界面,用于控制下肢外骨架.

Laura Ferrero1,2,3, Vicente Quiles1,2, Mario Ortiz1,2,3

  • 1Brain-Machine Interface System Lab, Miguel Hernández University of Elche, Elche, Spain.

iScience
|May 30, 2023
PubMed
概括

这项研究表明,使用运动图像 (MI) 的脑计算机接口 (BCI) 可以控制下肢外骨架,以恢复神经损伤. 虚拟现实培训加速了BCI的使用,但没有降低其有效性,显示了康复的前景.

关键词:
应用科学 应用科学生物医学工程 生物医学工程控制工程 控制工程 控制工程工程 工程师 工程师 工程师机器人技术 机器人技术 机器人技术

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科学领域:

  • 神经科学是一个神经科学.
  • 康复工程 康复工程
  • 生物医学工程 生物医学工程

背景情况:

  • 神经损伤往往导致运动缺陷,需要先进的康复策略.
  • 大脑计算机接口 (BCI) 通过将神经信号转化为设备控制来恢复运动功能的潜在途径.
  • 下肢外骨架可以帮助步行训练和运动恢复.

研究的目的:

  • 调查基于运动图像 (MI) 的BCI用于控制下肢外骨架的有效性.
  • 评估虚拟现实 (VR) 加速培训对BCI绩效的影响.
  • 评估BCI外骨架系统在脊髓损伤患者中的可行性和用户体验.

主要方法:

  • 开发和实施基于MI的BCI系统,用于外骨控制.
  • 在十名身体健康的受试者和两名脊髓损伤患者中进行评估.
  • 虚拟现实加速训练与标准训练的比较,在一小组身体健康的受试者中.

主要成果:

  • 虚拟现实加速训练并没有降低BCI的有效性,并且在某些情况下显示出改善.
  • 脊髓损伤患者在BCI辅助会议期间报告了积极的体验和可管理的劳动力水平.
  • 基于MI的BCI系统证明了在康复环境中控制下肢外骨的可行性.

结论:

  • 基于MI的BCI是一种有前途的技术,用于控制神经康复中下肢外骨架.
  • 虚拟现实加速培训可以优化BCI实施,可能减少培训时间.
  • 需要进一步的研究来探索这种BCI系统在临床环境中的全部潜力.