Feature of the Day

(20180412) The TUH EEG Slowing Corpus (v1.0.1): This is a small data set that can be used to study the difference between slowing and seizures in EEGs.

(20180412) The TUH Abnormal EEG Corpus (v2.0.0): This is a subset of the TUH EEG corpus that can be used for automatic detection of abnormal EEGs.

(20180327) The TUH EEG Six-Way Event Classification Corpus (v1.0.0): This release contains the data used to develop our initial version of AutoEEG. See the AAREADME file to learn more.

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    The Neural Engineering
    Data Consortium

The Nerual Engineering Data Consortium (NEDC) generates and curates big data resources to support application of state of the art machine learning algorithms to bioengineering problems. We distribute a variety of resources including signal and image data, software to facilitate common evaluations and visualization tools. To learn more, contact us or visit our site.

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