Scripts used to create the dataset described in EPIC: Annotated epileptic EEG independent components for artifact reduction.
All the scripts as well as the datasets are available at https://zenodo.org/record/6620655.
It is worth noting that these scripts also comprise the pipeline to automatically preprocess EEG signals
Use process_set_data.m to preprocess the EEG signals. You must have EEGLAB folder in the same directory. The code was developed using EEGLAB 2019.
In the case you use these scripts, cite one of the following manuscripts:
Lopes, F., Leal, A., Medeiros, J., Pinto, M. F., Dourado, A., Dümpelmann, M., & Teixeira, C. (2021). Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks. IEEE Access, 9, 149955-149970.
Lopes, F., Leal, A., Medeiros, J., Pinto, M. F., Dourado, A., Dümpelmann, M., & Teixeira, C. (2022). Ensemble Deep Neural Network for Automatic Classification of EEG Independent Components. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 559-568.
Lopes, F., Leal, A., Medeiros, J., Pinto, M. F., Dourado, A., Dümpelmann, M., & Teixeira, C. (2022). EPIC: Annotated epileptic EEG independent components for artifact reduction. Scientific Data, 9(1), 512.