VAE

Imad Eddine Tibermacine1, Samuele Russo2, Gianmarco Scarano1

  • 1Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy.

PloS one
|October 31, 2025
PubMed
概括

这项研究展示了一种条件变异自编码器 (CVAE) 模型用于脑电图 (EEG) 分析,使用提取的信号特征实现了93%的准确性来区分健康个体与骨科损伤的个体.

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