TUH EEG Corpus

Overview | Downloads | Publications | FAQ

Downloads: To request access to the TUH EEG Corpus, please fill out this form. You will receive an automatically-generated username and password via email.
  • Data Resources:

    • (20170708) The TUH Abnormal EEG Corpus (v1.1.0): This release contains a slightly modified eval and training set so there is no overlap between the two. It also includes the EEG signal files and reports.

    • (20170701) The TUH EEG Seizure Corpus (v1.1.0): This release contains the expanded training set, sub-one second resolution on the seizure boundaries, and an expanded classification of each EEG session in terms of types and subtypes. Corrupted EDF headers have also been corrected.

    • (20170617) The TUH EEG Seizure Corpus (v1.0.4): A new release that contains bug fixes and much more information about the data. Each EEG session is classified by type and duration (e.g., routine or LTM). Please refer to the AAREADME file for more information about this release.

    • (20170314) The TUH Abnormal EEG Corpus (v1.0.1): This is a subset of the TUH EEG Corpus that can be used for automatic detection of abnormal EEGs. This is a bug fix release. The corpus now contains only one file per session. Also, we provide a suggested partitioning of the data into evaluation and training data.

    • (20170508) TUH EEG Corpus (v1.0.0): This is the first major release of the official version of the TUH EEG Corpus. This release contains sessions recorded between 2002 and 2015. There are over 23,000 sessions in the release with paired EEG reports.

    • (20170426) The TUH EEG Seizure Corpus (v1.0.3): This is the first official release of a subset of the TUH EEG Corpus that has been manually annotated for seizure events. To learn more about this corpus, please see our ACNS 2017 publication. Also, please refer to the AAREADME file.

    • (20170314) The TUH Abnormal EEG Corpus (v1.0.0): This is a subset of the TUH EEG Corpus that can be used for automatic detection of abnormal EEGs.

    • (20160301) TUH EEG Epilepsy Corpus (v0.0.1): This is a subset of the TUH EEG Corpus that contains 100 subjects with and without epilepsy.

    • (20150101) TUH EEG Corpus (v0.6.0): A beta release used to collect feedback from the community.

    • (20150401) TUH EEG Corpus (v0.2.0): This is our first public release of the TUH EEG Corpus. This is a beta release intended to allow users to give us feedback on the data. There are 247 sessions, 615 EDF files, and over 150 hours of EEG data. The uncompressed data occupies about 8.3G of disk space.

  • Supporting Software:

    • (20170711) PyEDFLib: A Python interface to EDFLib that lets you read and write EDF files (the distribution format for TUH EEG).

    • (20170711) edfRead: MATLAB code to read EDF files.

    • (20160401) Display Annotations: A simple Python script to view label files.

    • (20160401) Print Header: This distribution contains two simple programs, nedc_print_header and nedc_print_signal, that can be used to view EDF file information. For example, print_header can be used with grep to view specific information about a field in the header across all files in the database.

  • Documentation:

    • (20160401) Filename Conventions: Comments are welcome on our proposal for the organization of release v1.0.0 of the TUH EEG Corpus.

    • (20150401) EDF Header: A byte-by-byte description of an EDF header.
The TUH EEG Corpus is freely available. The only reason we require registration is that we need to track who downloads the data. We also want to be able to inform you of any updates to the releases.

Once you have obtained the username and password, you can selectively download portions of the corpus using your browser. Due to the size of the data, the best way to transmit this data is via a hard disk. Email us for details.

You might also be interested in using a command like wget to download the corpus. A typical wget command would look something like this:
  • wget -r --no-parent --http-user="username" --http-passwd="password" \
          https://www.isip.piconepress.com/projects/tuh_eeg/downloads/tuh_eeg/v0.6.0/
The fields "username" and "password" should be replaced with the actual values you receive from us in email.

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