Datasets › SHHS
SHHS (Sleep Heart Health Study)
The Sleep Heart Health Study (SHHS) is a multi-center cohort study implemented by the National Heart Lung & Blood Institute to determine the cardiovascular and other consequences of sleep-disordered breathing. It tests whether sleep-related breathing is associated with an increased risk of coronary heart disease, stroke, all cause mortality, and hypertension. In all, 6,441 men and women aged 40 years and older were enrolled between November 1, 1995 and January 31, 1998 to take part in SHHS Visit 1. During exam cycle 3 (January 2001- June 2003), a second polysomnogram (SHHS Visit 2) was obtained in 3,295 of the participants. CVD Outcomes data were monitored and adjudicated by parent cohorts between baseline and 2011. More than 130 manuscripts have been published investigating predictors and outcomes of sleep disorders.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Sleep Stage Detection | SHHS | SynthSleepNet (EEG2+EOG2+EMG1) Accuracy 89.89% | Toward Foundational Model for Sleep Analysis Using a... | dlcjfgmlnasa/SynthSleepNet | 10 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 11. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework | 1 | 3 | 18 Feb 2025 | not harvested |
| MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification | 1 | 2 | 13 Feb 2025 | not harvested |
| NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | 1 | 1 | 10 Apr 2024 | not harvested |
| CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities | 0 | 1 | 27 Mar 2023 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SHHS
1 variant name, as the archive lists them.
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