DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning
Electroencephalography (EEG) plays a crucial role in neuroscience research and clinical practice, but it remains limited by nonuniform data, noise, and difficulty in labeling. To address these challenges, we develop a pretraining framework named DMAE-EEG, a denoising masked autoencoder for mining ge...
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Published in | IEEE transaction on neural networks and learning systems Vol. PP; pp. 1 - 15 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
02.07.2025
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Subjects | |
Online Access | Get full text |
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