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脑电脑接口用于机器人控制,用于辅助应用程序的眼睛工件.

Kaan Karas1, Luca Pozzi1, Alessandra Pedrocchi2

  • 1Politecnico di Milano, Department of Mechanical Engineering, via La Masa 1, 20156, Milano, Italy.

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这项研究介绍了一种新的脑计算机接口 (BCI),使用EEG信号的眼睛工件来控制辅助机器人,改善神经退行性疾病患者的互动.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程

背景情况:

  • 人机交互正在进步,机器人越来越多地用于患者护理,特别是对于残疾人来说.
  • 神经退行性疾病可能会损害自愿运动,需要替代的沟通和控制方法.
  • 大脑计算机接口 (BCI) 系统通过将大脑活动转化为命令来提供潜在的解决方案.

研究的目的:

  • 介绍一种新的BCI系统,用于使用电脑电图 (EEG) 信号中检测到的眼睛工件来控制辅助机器人.
  • 为了利用具有高信号噪声比率并被故意生成的眼睛工件,作为一个有价值的信息来源.
  • 通过改进人机交互来提高残疾人的生活质量.

主要方法:

  • 使用特征波形形状检测了EEG信号中的眼睛工件.
  • 侧眼运动通过特定的峰值/山谷形成和F7/F8通道之间的相位差异来确定.
  • 为眼检测开发了一种双值方法,区分弱眼和正规眼.
  • 一个二级算法根据发生频率区分单,双和四.

主要成果:

  • 提出的方法成功地检测出EEG信号的眼睛侧向运动和眼.
  • 该BCI系统通过图形用户界面展示了通过图形用户界面实时控制辅助机器人.
  • 5名参与者的验证实验证实了开发的BCI控制机器人的能力.

结论:

  • 开发的BCI系统有效地利用EEG信号中的眼睛工件来控制机器人.
  • 这种新的方法为患者护理中的辅助机器人提供了一个有前途的方法.
  • 该系统有可能显著改善神经退行性疾病患者的互动和独立性.