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The EPILEPSIAE database: An extensive electroencephalography database of epilepsy patients
Author(s) -
Klatt Juliane,
FeldwischDrentrup Hinnerk,
Ihle Matthias,
Navarro Vincent,
Neufang Markus,
Teixeira Cesar,
Adam Claude,
Valderrama Mario,
AlvaradoRojas Catalina,
Witon Adrien,
Le Van Quyen Michel,
Sales Francisco,
Dourado Antonio,
Timmer Jens,
SchulzeBonhage Andreas,
Schelter Bjoern
Publication year - 2012
Publication title -
epilepsia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.687
H-Index - 191
eISSN - 1528-1167
pISSN - 0013-9580
DOI - 10.1111/j.1528-1167.2012.03564.x
Subject(s) - electroencephalography , metadata , epilepsy , computer science , database , standardization , clinical neurophysiology , reference database , psychology , neuroscience , world wide web , operating system
Summary From the very beginning the seizure prediction community faced problems concerning evaluation, standardization, and reproducibility of its studies. One of the main reasons for these shortcomings was the lack of access to high‐quality long‐term electroencephalography (EEG) data. In this article we present the EPILEPSIAE database, which was made publicly available in 2012. We illustrate its content and scope. The EPILEPSIAE database provides long‐term EEG recordings of 275 patients as well as extensive metadata and standardized annotation of the data sets. It will adhere to the current standards in the field of prediction and facilitate reproducibility and comparison of those studies. Beyond seizure prediction, it may also be of considerable benefit for studies focusing on seizure detection, basic neurophysiology, and other fields.