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在闭环脑机接口IC中用于神经记录前端的反工件技术.

Weijian Chen1, Xu Liu1, Peiyuan Wan1

  • 1College of Microelectronics, Beijing University of Technology, Beijing, China.

Frontiers in neuroscience
|May 24, 2024
PubMed
概括

本文回顾了在闭环脑机界面 (CL-BMI) 中处理刺激工件的技术. 它详细介绍了文物评估,影响以及神经医学中神经记录前端的最新进展.

关键词:
生物医学 生物医学闭环的大脑机器接口接口运动工艺品 运动工艺品神经记录神经记录刺激的工件 艺术品

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科学领域:

  • 神经医学的神经医学
  • 生物医学工程 生物医学工程
  • 神经技术的神经技术

背景情况:

  • 集成电路的进步推动了临床医学,特别是神经医学的进步.
  • 大脑机器接口 (BMI) 通过分析神经信号以进行治疗调节来彻底改变神经疾病的治疗方法.
  • 闭环BMI (CL-BMI) 是一个显著的发展,提供了增强的集成和响应速度.

研究的目的:

  • 为 CL-BMI 的神经记录前端 (NRFE) 中处理刺激工件 (SA) 的技术提供全面的概述.
  • 分析SA在CL-BMI系统中所带来的挑战.
  • 总结和分类当前和新兴的文物减轻技术.

主要方法:

  • 审查文献关于文物评估和对NRFE的影响.
  • 探索最近的技术进步来减少CL-BMI中的SA.
  • 分类和分析不同工件减轻策略的有效性.

主要成果:

  • 刺激工件在CL-BMI系统中对NRFE构成重大挑战.
  • 已经开发出各种技术来缓解SA,改善神经信号质量.
  • 这些技术范围从基于硬件的解决方案到先进的信号处理算法.

结论:

  • 解决刺激人工物对于有效实施CL-BMI至关重要.
  • 在人工物减轻技术的持续研究和开发对于推进神经医学至关重要.
  • 未来的趋势表明,我们正在朝着更加综合和智能化的文物抑制技术迈进.