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多模式大脑控制系统用于康复训练:结合异步在线脑电脑接口和外骨架.

Lei Liu1, Jian Li1, Rui Ouyang1

  • 1School of Computer Science and Technology, Anhui University, Hefei 230601, China; Anhui Province Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei 230601, China.

Journal of neuroscience methods
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概括

这项研究引入了一个由大脑控制的外骨系统,用于积极康复,通过多式脑计算机接口 (BCI) 增强四肢功能. 该系统实现了高精度,促进神经重塑以改善患者的治疗结果.

关键词:
大脑 计算机接口运动图像中的运动图像.运动损伤损伤康复 康复 康复 康复稳定状态视觉唤起了潜在的潜力.

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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 康复工程
  • 人与计算机的交互

背景情况:

  • 传统的康复是劳动密集型和昂贵的.
  • 现有的人机交互 (HCI) 方法,如机器人辅助疗法和功能电刺激 (FES),由于大脑参与度低,神经重塑有限.
  • 需要具有成本效益和高效的康复解决方案,以促进神经恢复.

研究的目的:

  • 提出一种多式脑控制的活跃康复系统,使用脑-计算机接口 (BCI) 和外骨架.
  • 增强四肢功能恢复,促进受损神经的重塑.
  • 改善患者的参与和沟通,特别是对于那些患有失语症的人来说.

主要方法:

  • 一个新的多式多态脑控制活跃康复系统,集成BCI和外骨架技术.
  • 使用稳定状态视觉唤起潜能 (SSVEP) 和运动图像 (MI) 的联合控制模式进行自动节奏控制.
  • 将变压器模型作为运动图像 (MI) 解码器用于改进电脑电图 (EEG) 信号处理.
  • 添加基于SSVEP的需求选择功能,以增强与失语患者的沟通.

主要成果:

  • 在涉及左手,右手,脚和置状态的在线实验中,达到91.25%和92.50%的高准确率.
  • 在多任务在线环境中证明了系统的有效性.
  • 通过线下和线上实验评估验证了性能.

结论:

  • 开发的系统提供了一个高性能,低延迟的大脑控制的康复解决方案.
  • 它提供了一个独立和自主的大脑控制模式,以最大限度地提高大脑参与度.
  • 该系统显示了在康复中提高神经重塑效率的潜力.