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相关实验视频

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Force and Position Control in Humans - The Role of Augmented Feedback
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在控制两个手指组的皮质内脑机接口中检测和纠正错误.

Dylan M Wallace1, Miri Benyamini2, Samuel R Nason-Tomaszewski3

  • 1Department of Robotics, University of Michigan, Ann Arbor, MI, United States of America.

Journal of neural engineering
|August 11, 2023
PubMed
概括

脑机界面 (BMI) 现在可以检测和纠正实时运动错误. 这种新方法通过在控制过程中识别和停止错误的运动来提高BMI性能.

关键词:
纠正错误的纠正错误的纠正错误检测 错误检测 错误检测 错误检测 错误检测 错误检测执行错误 执行错误皮层内大脑 机器接口线性波器是一种线性波器.

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科学领域:

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

背景情况:

  • 大脑机器接口 (BMI) 提供恢复运动功能的潜力,但受到解码错误的限制.
  • 现有的错误纠正方法侧重于试验后的结果,而不是实时运动执行.
  • 持续检测和纠正执行错误对于提高BMI有效性至关重要.

研究的目的:

  • 开发和评估一种实时检测和纠正脑机界面 (BMI) 执行错误的方法.
  • 为了研究BMI控制过程中运动错误的神经相关性.
  • 评估错误纠正对整体BMI任务绩效的影响.

主要方法:

  • 两个雄性 rhesus macaque 被植入了运动皮质犹他阵列用于神经记录.
  • 卡尔曼波器将神经活动解码为指指动力学,用于BMI控制.
  • 一种新的方法分析了神经活动,以检测偏离目标的运动,通过停止策略来纠正错误.

主要成果:

  • 神经活动变异在很大程度上可以通过包括目标距离,以及动力学来解释.
  • 这项研究首次证明了使用运动皮层神经活动在线检测BMI执行错误.
  • 平均真实阳性检测率为28.1%,假阳性率为<5%,通过减少手指轨道时间,提高了任务性能.

结论:

  • 运动皮层神经活动可以被利用来实时检测和纠正BMI执行错误.
  • 开发的错误检测和纠正策略显著提高了BMI任务性能.
  • 未来的研究应该专注于完善分类和校正策略,以进一步提高绩效.