TEEGLLTEEG: This EEG Looks Like That EEG

This dataset comprises 50,697 electroencephalography (EEG) segments from 2,711 patients who underwent continuous EEG monitoring at Massachusetts General Hospital between July 2006 and March 2020. The EEG segments are labeled for six classes of patterns: seizures, lateralized periodic discharges (LPDs), generalized periodic discharges (GPDs), lateralized rhythmic delta activity (LRDA), generalized rhythmic delta activity (GRDA), and other patterns. These annotations were done by 124 domain experts and trained annotators. The dataset was used to develop and validate interpretable deep learning model that accurately classifies these patterns while providing faithful case-based explanations for its classifications. This comprehensive EEG dataset with expert annotations provides a valuable resource for developing and validating automated methods for EEG interpretation.