nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEG
A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
- Participants
- 24
- Size
- 15.0 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026