Temple University Hospital EEG (TUH EEG) Resources


Our goal is to enable deep learning research in neuroscience by releasing the largest publicly available unencumbered database of EEG recordings. This ongoing project currently includes over 30,000 EEGs spanning the years from 2002 to present.

Get Access

To request access to these resources, 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 these databases are quite large, it is best to transfer them via hard disk. If you are interested in this option, please follow the instructions here.

EEG Annotation
Annotation of an EEG

What's New

  • (20180710) NEDC EEG AutoAnnotations (v1.1.0): This release includes automatically generated annotations of six types of events (PLED, GPED, SPSW, ARTF, EYEM and BCKG).
  • (20180621) The TUH EEG Events Corpus (v1.0.1): The EDF files in the previous release with corrupted headers have been fixed. All files should pass processing using standard open source tools.
  • (20180609) v1.1.0 of TUH EEG: These annotations are only for EEG files that are under an hour in duration and contain 22 channels.

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