mlsanityData to 13 Oct 2026

A Large Collection of Real-world Pediatric Sleep Studies

arXiv 2102.13284 ↗First posted 26 Feb 2021eess.SP stat.APcited by 20

Not on the map. Why?

Abstract (arXiv)

Despite being crucial to health and quality of life, sleep -- especially pediatric sleep -- is not yet well understood. This is exacerbated by lack of access to sufficient pediatric sleep data with clinical annotation. In order to accelerate research on pediatric sleep and its connection to health, we create the Nationwide Children's Hospital (NCH) Sleep DataBank and publish it at Physionet and the National Sleep Research Resource (NSRR), which is a large sleep data common with physiological data, clinical data, and tools for analyses. The NCH Sleep DataBank consists of 3,984 polysomnography studies and over 5.6 million clinical observations on 3,673 unique patients between 2017 and 2019 at NCH. The novelties of this dataset include: 1) large-scale sleep dataset suitable for discovering new insights via data mining, 2) explicit focus on pediatric patients, 3) gathered in a real-world clinical setting, and 4) the accompanying rich set of clinical data. The NCH Sleep DataBank is a valuable resource for advancing automatic sleep scoring and real-time sleep disorder prediction, among many other potential scientific discoveries.

Key facts. Cited by 20 papers in the map (data through 13 Oct 2026). First posted on arXiv 26 Feb 2021.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2022: 2; 2023: 0; 2024: 6; 2025: 5; 2026: 7.

20 papers.

Sort:

  1. 2024Deep Multimodal Learning with Missing Modality: A Surveycited by 91
  2. 2026OSF: On Pre-training and Scaling of Sleep Foundation Modelscited by 10
  3. 2025SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging modelscited by 7
  4. 2022Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEGcited by 5
  5. 2024PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signalscited by 4
  6. 2024Detection of Sleep Oxygen Desaturations from Electroencephalogram Signalscited by 3
  7. 2025Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Modelscited by 3
  8. 2024Multimodal Sleep Apnea Detection with Missing or Noisy Modalitiescited by 2
  9. 2026BiTimeCrossNet: Time-Aware Self-Supervised Learning for Pediatric Sleepcited by 1
  10. 2022Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Predictioncited by 0
  11. 2024Attentive Dilated Convolution for Automatic Sleep Staging using Force-directed Layoutcited by 0
  12. 2024Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curvescited by 0
8 more
  1. 2025PSG-MAE: Robust Multitask Sleep Event Monitoring using Multichannel PSG Reconstruction and Inter-channel Contrastive Learningcited by 0
  2. 2025Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasetscited by 0
  3. 2025NAPS: Attention-Based Fusion of Heterogeneous Physiological Signalscited by 0
  4. 2026Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Datacited by 0
  5. 2026Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddingscited by 0
  6. 2026Next-Token Prediction Learns Generalisable Representations of Sleep Physiologycited by 0
  7. 2026Deep Learning Approaches for Sleep Apnea Classification from Polysomnographic EEG Signalscited by 0
  8. 2026BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environmentcited by 0