Published April 15, 2025
| Version v5
Dataset
Open
SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data
Authors/Creators
- 1. Sagol School of Neuroscience, Tel Aviv University; Tel Aviv, Israel
- 2. Department of Physiology and Pharmacology, School of Medicine, Tel Aviv University, Israel
- 3. The Sieratzki-Sagol Center for Sleep Medicine, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
- 4. Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
- 5. Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel
Description
This dataset includes three high-density sleep EEG recordings of healthy participants, downsampled to 250 Hz and stored in FIF format:
- Nap recording of a young adult participant
- Overnight recording of a young adult participant
- Overnight recording of an older adult participant
Additionally, the dataset includes three text files for each recording:
- bad_channels.txt: Indexes of noisy channels
- annotations.txt: Onset and duration of noisy temporal intervals
- staging.txt: Sleep staging vector
The corresponding package can be found on GitHub.
For citation, please use:
Falach, R., G. Belonosov, J. F. Schmidig, M. Aderka, V. Zhelezniakov, R. Shani-Hershkovich, E. Bar, and Y. Nir. "SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data." Computers in Biology and Medicine 192 (2025): 110232.
https://doi.org/10.1016/j.compbiomed.2025.110232
Files
nap_annotations.txt
Files
(14.5 GB)
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Additional details
Related works
- Is supplement to
- Publication: 10.1016/j.compbiomed.2025.110232 (DOI)