MAE-EEG-Transformer: A transformer-based approach combining masked autoencoder and cross-individual data augmentation pre-training for EEG classification

• Published in: Biomedical signal processing and control Vol. 94; p. 106131
• Main Authors: Cai, Miao, Zeng, Yu
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2024
• Subjects: EEG; Masked autoencoder; Motor imagery; Pre-training; Transformer; Pre-training; Motor imagery; Transformer; Masked autoencoder; EEG

Convolutional neural networks (CNN) may not be ideal for extracting global temporal features from non-stationary Electroencephalogram (EEG) signals. The application of the masking-based method in EEG classification is not well studied, and there is a shortage of commonly accepted models for verifyin...