Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms
The episode discusses a paper using deep learning and attention mechanisms to detect and localize artifacts in single-channel mobile EEG data from home sleep monitoring devices. The team developed a model that outperforms traditional methods, providing automated quality control for wearable biosignals.