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Updated: May 24, 2026

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一种超短时间SSVEP分类跨主题转移学习方法

Hongzhuo Kang, Naqin Bao, Huanzi Liu

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 3, 2025
    PubMed
    概括

    这项研究介绍了CSA-GSDANN,这是一种用于脑计算机接口 (BCI) 的新方法,可以显著改善用超短EEG数据稳定状态视觉唤起潜力 (SSVEP) 的分类. 它通过克服现有算法的局限性来提高实时BCI性能.

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