WAVELET2VEC: A Filter Bank Masked Autoencoder for EEG-Based Seizure Subtype Classification

Electroencephalogram (EEG) based seizure subtype classification plays an important role in clinical diagnostics. However, existing deep learning approaches face two challenges in such applications: 1) convolutional or recurrent neural network based models have difficulty learning long-term dependenc...

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Veröffentlicht in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) S. 1 - 5
Hauptverfasser:	Peng, Ruimin, Zhao, Changming, Xu, Yifan, Jiang, Jun, Kuang, Guangtao, Shao, Jianbo, Wu, Dongrui
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 04.06.2023
Schlagworte:	Brain modeling Deep learning EEG filter bank analysis Filter banks masked autoencoder seizure subtype classification Self-supervised learning Training data Transformers Wavelet transforms
ISSN:	2379-190X
Online-Zugang:	Volltext
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