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...

Ausführliche Beschreibung