nm000183
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (FNUSA)
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 clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.
- Participants
- 14
- Size
- 20.8 GB
- Version
- v1.0.2
- Updated
- Jun 29, 2026