BCI Report Research previewFive-stage sleep
EESM19 (Ear-EEG Sleep Monitoring 2019, OpenNeuro ds005185) is a home sleep dataset from Aarhus University: 20 participants each slept four nights with dry-contact ear-EEG plus partial polysomnography, manually sleep-scored, and 10 of them added 12 ear-EEG-only nights. First published by Mikkelsen et al. in Scientific Reports (2019).
Also known as EESM19 · Ear-EEG Sleep Monitoring 2019 · ds005185 · Mikkelsen et al. (2019)
Description sources openneuro.org · pmc.ncbi.nlm.nih.gov · doi.org
Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Spectral ridge | Five stages · balanced scalp-EEG sample | Balanced accuracy | 72.2%70.7%–73.8% | 20 |
| LaBraM | Five stages · balanced scalp-EEG sample | Balanced accuracy | 71.1%69.0%–73.2% | 20 |
| CBraMod | Five stages · balanced scalp-EEG sample | Balanced accuracy | 71.3%68.7%–73.7% | 20 |
| EEGNet | Five stages · balanced scalp-EEG sample | Balanced accuracy | 56.5%54.9%–58.3% | 20 |
Credit Kaare B. Mikkelsen et al. · Accurate whole-night sleep monitoring with dry-contact ear-EEG (2019), doi:10.1038/s41598-019-53115-3; OpenNeuro ds005185 v1.0.2. Processed mirror: Zachary1150/EESM19-Processed.
CC0-1.0 declared by upstream and mirror ↗ · Dataset record ↗
BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.