Files: AAREADME.txt Database: TUH EEG Epilepsy Corpus Version: v2.0.1 ------------------------------------------------------------------------------- Change Log: v2.0.3 (20240207): Headers were modified. No change to the signal data. ------------------------------------------------------------------------------- This file contains some basic statistics about the TUH EEG Epilepsy Corpus, a corpus developed to motivate the development of new methods for automatic analysis of EEG files using machine learning. This corpus is a subset of the TUH EEG Corpus and contains sessions from patients with epilepsy. To balance the corpus, some sessions are provided from patients that do not have epilepsy. Subjects were sorted into epilepsy and no epilepsy categories by searching the associated EEG reports for indications as to an epilepsy/no epilepsy diagnosis based on clinical history, medications at the time of recording, and EEG features associated with epilepsy such as spike and sharp waves. A board-certified neurologist, Daniel Goldenholz, and his research team reviewed and verified the decisions about each patient. When you use this specific corpus in your research or technology development, we ask that you reference the corpus using this publication: Veloso, L., McHugh, J. R., von Weltin, E., Obeid, I., & Picone, J. (2017). Big Data Resources for EEGs: Enabling Deep Learning Research. In I. Obeid & J. Picone (Eds.), Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (p. 1). Philadelphia, Pennsylvania, USA: IEEE. This publication can be retrieved from: https://www.isip.piconepress.com/publications/conference_presentations/2017/ieee_spmb/data/ Our preferred reference for the TUH EEG Corpus, from which this seizure corpus was derived, is: Obeid, I., & Picone, J. (2016). The Temple University Hospital EEG Data Corpus. Frontiers in Neuroscience, Section Neural Technology, 10, 196. v2.0.0 of the TUH EEG Epilepsy Corpus was based on v2.0.0 of the TUH EEG Corpus. Please see the documentation for TUH EEG v2.0.0 to understand how the data is structured. The files subject_ids_*.list contain unique IDs for each subject that is part of the corpus. We also provide links to the edf data for users who have not downloaded the entire corpus. BASIC STATISTICS: |-------------------------------------------------------| | Description | Epilepsy | No Epilepsy | Total | |-------------+-------------+-------------+-------------| | Patients | 100 | 100 | 200 | |-------------+-------------+-------------+-------------| | Sessions | 530 | 168 | 698 | |-------------+-------------+-------------+-------------| | Files | 1,785 | 513 | 2,298 | |-------------------------------------------------------| The total size of the corpus is 36 Gbytes. --- If you have any additional comments or questions about the data, please direct them to help@nedcdata.org. Best Regards, Joe Picone