AiCumene EEG-BCI Sleep–Wake Dataset
收藏资源简介:
The AiCumene EEG-BCI Sleep–Wake Dataset has two components. (1) A public synthetic sleep-EEG benchmark of 45 synthetic whole-night polysomnography recordings (S0001–S0045), each paired with a 30-s sleep-stage hypnogram, produced by per-recording oscillator resynthesis of the Sleep-EDF Database Expanded (Sleep Cassette; PhysioNet): oscillatory modes are refitted per 30-s epoch and re-rendered with randomised phase and small frequency jitter, so the recordings are phase-randomised surrogates that preserve each source recording's oscillatory structure. All 45 synthetic recordings are released in this record. (2) 40 real de-identified AiCumene wearable-EEG recordings, held under controlled access and available to qualified researchers on request (see DATA_AVAILABILITY.md in the archive); they are not part of this public archive. Contents of AiCumene-EEG-BCI-Sleep-Wake-Dataset-v1.0.zip: README.md, DATASET_DESCRIPTION.md, DATA_AVAILABILITY.md, METADATA.csv, PUBLIC_DATA_MANIFEST.csv, CITATION.cff, PATENT_NOTICE.md, RELATED_WORKS.md and public_data/ with S00xx-PSG.edf (EDF, 7-channel montage, EEG/EOG at 100 Hz, auxiliary channels at 1 Hz, 30-s data records) and S00xx-Hypnogram.edf (EDF+ annotations). Source attribution (ODC-BY 1.0): Kemp B, Zwinderman AH, Tuk B, Kamphuisen HAC, Oberyé JJL (2000). Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG. IEEE Trans Biomed Eng 47(9):1185–1194; Goldberger AL et al. (2000). PhysioBank, PhysioToolkit, and PhysioNet. Circulation 101(23):e215–e220; Sleep-EDF Database Expanded, https://physionet.org/content/sleep-edfx/. The synthetic outputs, metadata and documentation are licensed CC BY-NC 4.0 to the extent the creators are entitled to license them; rights in the underlying Sleep-EDF source database remain governed by ODC-BY 1.0. No patent licence is granted (see PATENT_NOTICE.md). The dataset supports research on Brain Oscillator Intrinsic Dimension (BOID): https://research.aicumene.com/papers/boid-coma/ (DOI 10.13140/RG.2.2.31610.25288). Companion repository: https://github.com/aicumene/aicumene-eeg-bci-sleep-wake-dataset. Analysis code: https://github.com/aicumene/BOID.



