ISRUC-Sleep is a polysomnographic (PSG) dataset. The data were obtained from human adults, including healthy subjects, and subjects with sleep disorders under the effect of sleep medication. The dataset, which is structured to support different research objectives, comprises three groups of data: (a) data concerning 100 subjects, with one recording session per subject, (b) data gathered from 8 subjects; two recording sessions were performed per subject, which are useful for studies involving changes in the PSG signals over time, (c) data collected from one recording session related to 10 healthy subjects, which are useful for studies involving comparison of healthy subjects with the patients suffering from sleep disorders.
Source: https://sleeptight.isr.uc.pt/
Image Source: https://sleeptight.isr.uc.pt/
Variants: ISRUC-Sleep
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Sleep Stage Detection | NeuroNet (C4-A1 only) | NeuroNet: A Novel Hybrid Self-Supervised … | 2024-04-10 |
| Automatic Sleep Stage Classification | SLEEPER-GBT | SLEEPER: interpretable Sleep staging via … | 2019-10-14 |
| Sleep Stage Detection | SLEEPER-DT | SLEEPER: interpretable Sleep staging via … | 2019-10-14 |
Recent papers with results on this dataset: