Pennsylvania Commonwealth Universal Research Enhancement Program (PA CURE):
Enabling the Application of Deep Learning to Automated Seizure Detection


Mission

Our goal is to quadruple the size of the TUH EEG Seizure Detection Corpus by manually annotating three years’ worth of EEG data collected at Temple Hospital. This additional data, to be released into the public domain, will allow us to improve our seizure detection technology, enhance a commercialization effort, as well as strengthen a significant research contribution to the field.

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What's New

(20180416) The TUH EEG Seizure Corpus (v1.2.1): This release includes small annotation fixes and an addition to the _SEIZURES spreadsheet of calibration start and end times, as well as other small cleanups.

(20171207) The TUH EEG Seizure Corpus (v1.2.0): This release contains patient numbers that match v1.0.0 of TUH EEG. Numerous other cleanups have been made to the data.

(20170805) The TUH EEG Seizure Corpus (v1.1.1): In this release, each seizure event is classified by type. We now provide event-based and term-based annotations as well as the type of seizure. Review the AAREADME for more details.

Get Access

To request access to this resource, please fill out this form. You will receive an automatically-generated username and password via email. Please be patient since it takes a few minutes to receive the email.

Since this database is quite large, it is best to transfer it via hard disk. If you are interested in this option, please follow the instructions here.

Active Annotation