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Updated: Jul 28, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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TFANet:一个时频感知网络,具有关节编码,用于高比EEG压缩

Xiangcun Wang, Xi Wu, Yuan Li

    IEEE transactions on bio-medical engineering
    |July 17, 2025
    PubMed
    概括

    对于脑电图 (EEG) 数据,TFANet实现了333倍的压缩比,显著优于现有方法. 这种新的框架可以有效地存储和传输大规模的EEG数据集,同时保留关键的神经信息.

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