神经解码用于皮层内脑-计算机接口
Yuanrui Dong1, Shirong Wang1, Qiang Huang1
1School of Mechatronical Engineering and Beijing Advanced Innovation Center for Intelligent Robots, Beijing Institute of Technology, Beijing 100081, China.
Cyborg and bionic systems (Washington, D.C.)
|July 31, 2023
概括
大脑-计算机接口 (BCI) 使的人能够控制设备. 本综述涵盖了皮质内BCI的解码方法,显示了控制假肢和机器人的前景.
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:
- 大脑计算机接口 (BCI) 为患者提供了控制外部设备的解决方案.
- 从神经活动中精确解码运动意图对于稳定的效应器控制至关重要.
- 皮层内神经记录为捕获神经信号提供了高时间和空间分辨率.
研究的目的:
- 审查近期神经信号解码方法的进展,用于皮质内脑-计算机接口.
- 为了突出这些解码方法在控制外部设备中的性能.
- 为了确定用于临床应用的解码器开发的未来改进领域.
主要方法:
- 对于皮质内BCI的神经信号解码技术的最新文献的综述.
- 在控制机器人和假肢设备时解码性能的分析.
- 检查非人类灵长类动物和人类研究中的应用.
主要成果:
- 带有先进解码方法的皮层内BCI证明了对效应者的有效控制.
- 在非人类灵长类动物和人类控制机器人和假肢的成功应用.
- 目前的解码器在分析神经活动方面取得了良好的表现.
结论:
- 对于皮质内BCI的神经信号解码方法有了显著的进步.
- 这些方法显示了改善患者生活质量的潜力.
- 对于复杂的运动康复和临床应用,需要进一步改进解码算法.
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