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

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
• Main Authors: Peng, Ruimin, Zhao, Changming, Xu, Yifan, Jiang, Jun, Kuang, Guangtao, Shao, Jianbo, Wu, Dongrui
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.06.2023
• Subjects: Brain modeling; Deep learning; EEG; filter bank analysis; Filter banks; masked autoencoder; seizure subtype classification; Self-supervised learning; Training data; Transformers; Wavelet transforms

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...