EEGDM

New EEGDM framework uses latent diffusion models for signal representation

Researchers have introduced EEGDM, a novel self-supervised framework designed to learn representations from electroencephalogram (EEG) data. Unlike previous methods that focus on reconstructing masked signal segments, E…