灵长类动物的皮层内脑-计算机接口:一个审查和前景
Alireza Rouzitalab1,2, Chadwick B Boulay2, Jeongwon Park1,3
1School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON K1N 6N5 Canada.
Biomedical engineering letters
|July 31, 2023
概括
本综述探讨了用于恢复中枢神经系统 (CNS) 功能的大脑与计算机接口 (BCI). 它专注于计划灵长类动物的皮层内BCI项目,利用它们与人类的大脑的相似性来实现未来的BCI进步.
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) 将神经信号转化为指令,以恢复或替换中枢神经系统 (CNS) 的功能.
- 运动涉及复杂的过程,如感觉运动集成,决策和运动规划.
- 利用来自多个大脑区域的信号和解码认知/运动方面的信号可以增强自然主义的运动行为恢复.
研究的目的:
- 提供初步信息,用于计划灵长类动物的皮层内脑-计算机接口 (BCI) 项目.
- 根据目标皮质区域,信号类型和解码方法,审查不同的BCI系统类型.
- 讨论成功的最先进的BCI案例和实时系统算法.
主要方法:
- 现有BCI研究的文献综述,重点关注灵长类动物的皮内植入物.
- 对非人类灵长类动物 (NHP) 研究的分析,因为它们的大脑结构与人类相似.
- 详细检查BCI系统架构,信号处理和解码算法.
主要成果:
- 国民健康计划研究为开发人类BCI应用提供了宝贵的见解.
- 各种BCI系统在目标区域,信号采集 (例如,电皮质谱,皮质内阵列) 和解码策略方面存在差异.
- 成功的实时BCI系统通常使用复杂的算法来解码神经活动.
结论:
- 规划BCI项目需要了解神经信号处理和灵长类神经解剖学.
- 在BCI技术的进步,特别是通过NHP研究,在恢复人类中枢神经系统功能方面具有重大前景.
- 未来的研究应该专注于改进当前的BCI算法和系统集成,以提高性能.
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