
# TUAB Dataset
- Data acquired from the official [TUH](https://isip.piconepress.com/projects/nedc/html/tuh_eeg/#c_tuab) repository
- Dataset used for anomaly detection in the EEG modality using 2 classes: normal and abnormal.
- 23 channels sampled at 256Hz.
- Each sample consists of 5 seconds of EEG recording
- We additionally apply min-max normalization each time a data sample is retrieved.
- The data can be stored in different modalities. If the HDF5 format is used, please use `datasets/hdf5_dataset.py`. If pickle format is used, please use `datasets/tuab_dataset.py`. 
- To create the dataset, once acquiring the relevant files from the TUH repository, see `make_datasets/make_tuab.py`.
