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

Author:

Peng Ruimin1,Zhao Changming1,Xu Yifan1,Jiang Jun2,Kuang Guangtao2,Shao Jianbo2,Wu Dongrui1

Affiliation:

1. Huazhong University of Science and Technology,Wuhan,China

2. Children’s Hospital,Wuhan,China

Publisher

IEEE

Reference22 articles.

1. A simple framework for contrastive learning of visual representations;chen;Proc Int’l Conf on Machine Learning,2020

2. Self-supervised Contrastive Learning for EEG-based Sleep Staging

3. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc Conf of the North American Chapter of the Association for Computational Linguistics Human Language Technologies,2019

4. Contrastive representation learning for electroencephalogram classification;mohsenvand;Proc the Machine Learning for Health NeurIPS Workshop Virtual Event,2020

5. The Temple University Hospital Seizure Detection Corpus

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Representation Learning of EEG Data with Masked Autoencoders;Lecture Notes in Computer Science;2024

2. Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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