VAEEG: Variational auto-encoder for extracting EEG representation

VAEEG: Variational auto-encoder for extracting EEG representation

The electroencephalogram (EEG) exhibits characteristics of complexity and strong randomness. Existing deep learning models for EEG typically target specific objectives and datasets, with their scalability constrained by the size of the dataset, resulting in limited perceptual and generalization abil...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Tong Zhao, Yi Cui, Taoyun Ji, Jiejian Luo, Wenling Li, Jun Jiang, Zaifen Gao, Wenguang Hu, Yuxiang Yan, Yuwu Jiang, Bo Hong
स्वरूप: लेख
भाषा:English
प्रकाशित: Elsevier 2024-12-01
श्रृंखला:NeuroImage
विषय:
EEG representation
Variational auto-encoder (VAE)
Pediatric brain development
Epileptic seizure
Sleep stage classification
ऑनलाइन पहुंच:http://www.sciencedirect.com/science/article/pii/S1053811924004439

इंटरनेट

http://www.sciencedirect.com/science/article/pii/S1053811924004439

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