在基于SSVEP的高频BCI中进行空间编码的分区域组合方案

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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

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Ruochen Hu1, Gege Ming2,3, Yijun Wang2,3,4

  • 1Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China.

Journal of neural engineering
|July 19, 2023
PubMed
概括

这项研究开发了一种新型的空间编码方案,用于高频稳态视觉唤起潜力 (SSVEP) 脑电脑接口 (BCI). 这些发现表明,次区域SSVEP响应可以预测联合区域响应,从而实现有效的BCI操作.

关键词:
大脑 - 计算机接口空间编码 空间编码稳定状态视觉唤起的潜力.亚区域组合 亚区域组合

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