This repo is the implementation of "SleepZzNet: Sleep Stage Classification Using Single-Channel EEG Based on CNN and Transformer", International Journal of Psychophysiology. [paper]
By Huiyu Chen, Zhigang Yin, Peng Zhang, Panfei Liu
- python >=3.7.0
- tensorflow >= 2.7.0 (or compatible version to your develop env)
- numpy
- scikit-learn
- mne
Download Sleep-EDF. You can download SC subjects of Sleep-EDF using the following commands.
python download_sleepedf.py
- Train and Evaluation Sleep-EDF
$ python main.py run_train.py
If you find this project useful, we would be grateful if you cite our work as follows:
@article{CHEN2021S168,
title = {SleepZzNet: Sleep Stage Classification Using Single-Channel EEG Based on CNN and Transformer},
journal = {International Journal of Psychophysiology},
volume = {168},
pages = {S168},
year = {2021},
note = {Proceedings of the 20th World Congress of Psychophysiology (IOP 2021) of the International Organization of Psychophysiology (IOP)},
issn = {0167-8760},
doi = {https://doi.org/10.1016/j.ijpsycho.2021.07.464},
url = {https://www.sciencedirect.com/science/article/pii/S016787602100670X},
author = {Huiyu Chen and Zhigang Yin and Peng Zhang and Panfei Liu}
}
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