A2DM: Enhancing EEG Artifact Removal by Fusing Artifact Representation into the Time-Frequency Domain
Academic Background Electroencephalogram (EEG) is a crucial tool for studying brain activity, widely used in neuroscience, clinical diagnosis, and brain-computer interfaces. However, EEG signals are often contaminated by various artifacts during acquisition, such as electrooculography (EOG) and electromyography (EMG). These artifacts significantly ...