--- license: cc-by-nc-sa-4.0 tags: - sleep - eeg - polysomnography - sleep-spindle - k-complex - rem - sleep-staging language: - en pretty_name: DREAMS Sleep Databases size_categories: - n<1K --- # DREAMS Sleep Databases (Mirror of Zenodo 2650142) > **Source**: [Zenodo · DREAMS Databases](https://zenodo.org/records/2650142) > **License**: CC BY-NC-SA 4.0 (academic / non-commercial use) > **Mirror maintained by**: `lemonLHC` for internal sleep-event model training (EEG2LLM project) This is a **private mirror** of the original DREAMS databases for convenience of training pipeline access. All credit goes to the original authors at the University of MONS — TCTS Laboratory and Université Libre de Bruxelles — CHU de Charleroi Sleep Laboratory. ## Contents (A-strategy: original `.rar` + docs) | File | Size | Content after extraction | |---|---|---| | DatabaseSpindles.rar | 45 MB | 8 × 30-min excerpts, expert-annotated sleep spindles | | DatabaseKcomplexes.rar | 44 MB | 10 × 30-min excerpts, K-complex annotations | | DatabaseREMs.rar | 36 MB | 9 × 30-min excerpts, rapid eye movement annotations | | DatabaseArtifacts.rar | 49 MB | 20 × 15-min excerpts, multi-class artifact annotations | | DatabasePLMs.rar | 536 MB | 10 whole-night recordings, periodic limb movement annotations | | DatabaseApnea.rar | 719 MB | 12 whole-night recordings, hypopnea annotations | | DatabaseSubjects.rar | 1.0 GB | 20 healthy whole-night recordings (R&K + AASM hypnograms) | | DatabasePatients.rar | 1.5 GB | 27 patient whole-night recordings (R&K + AASM hypnograms) | | `*.m` / `*.txt` / `*.docx` / `*.pdf` | small | Original assessment algorithm + license + documentation | ## How to use ```bash # 1. Clone (requires HF SSH key + git-lfs) GIT_LFS_SKIP_SMUDGE=0 git clone git@hf.co:datasets/lemonLHC/DREAMS # 2. Extract on macOS brew install unar cd DREAMS && for f in *.rar; do unar -f "$f"; done # 3. Extract on Linux sudo apt-get install unar # or: bsdtar -xf .rar cd DREAMS && for f in *.rar; do unar -f "$f"; done ``` ## Annotation channels & event types (실측 / measured) | Sub-database | Channels (typical) | Sampling | Expert events | |---|---|---|---| | Spindles | C3-A1 / FP1-A1 / O1-A1 / EOG | 100 / 200 Hz | 355 spindles | | Kcomplexes | CZ-A1 / FP1-A2 / O1-A2 | 200 Hz | 272 K-complexes | | REMs | CZ-A1 / EOG1 / EOG2 | 200 Hz | 847 REM eye movements | | Artifacts | CZ-A1 / EOG / EMG | 50 Hz | 2000 artifact events (10 sub-types) | | PLMs | CZ-A1 / EMG1-3 | 200 Hz | 4421 PLM events | | Apnea | CZ-A1 / NAF / VTH / VAB / SAO2 | 200 Hz | 4058 hypopnea events | | Subjects | CZ-A1 / FP1-A2 / O1-A2 / EOG | 200 Hz | hypnogram only (5 s epoch) | | Patients | CZ-A1 / FP1-A2 / O1-A2 / EOG | 200 Hz | hypnogram only (5 s epoch) | ## Hypnogram conventions DREAMS uses a **5-second epoch** hypnogram (finer than AASM 30-second standard) to align with event-level annotations. R&K coding: ``` 5 = Wake 4 = REM 3 = N1 2 = N2 1 = N3 0 = N3 (stage 4 merged) -1 = MT/Unscored ``` `Subjects/Patients` additionally provide AASM-coded hypnograms in `HypnogramAASM_*.txt`. ## Training plan reference See [`sleep_event_training_plan.md`](./sleep_event_training_plan.md) for the full 5-class multi-label sleep event classifier training plan combining DREAMS + MASS data. ## Citation If you use this dataset, please cite the original DREAMS publications: ```bibtex @dataset{devuyst_dreams_2005, author = {Devuyst, Stephanie}, title = {The DREAMS Databases and Assessment Algorithm}, year = {2005}, publisher = {Zenodo}, doi = {10.5281/zenodo.2650142} } ```