Publications citing NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies with Longitudinal Clinical Data v3.1.0

The Bern Sleep-Wake Registry: A 25-year multimodal resource for data-driven sleep medicine
Julia van der Meer, Irina Filchenko, Anne‐Kathrin Brill et al. medRxiv, 2026. Cites: paper

BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment
Mohammad Nur Hossain Khan, Matthew S. Krafczyk, Beverly G. Bolster et al. arXiv (Cornell University), 2026. Cites: paper

PediaRespECG: open-source synthetic pediatric ECG platform for respiratory monitoring applications
Jesse David Roberts. Scientific Reports, 2026. Cites: paper

Rapid eye movement sleep reduction in pediatric epilepsy: A propensity score‐matched study
Alen Juginović, Laura Rodman. Epilepsia, 2026. Cites: paper

Pediatric Sleep Staging from Clinical Polysomnography: EEG Channel Relevance, Multimodal Fusion, and Adult-to-Pediatric Transfer
Cristina Andronache, Simona Juvină, Ana Neacsu Nicolae. Electronics, 2026. Cites: paper

Melatonin Use and Polysomnographic Sleep Architecture in Children
Alen Juginović, Laura Rodman. JAMA Network Open, 2026. Cites: paper

The effect of sex on sleep neurophysiology in typical and altered neurodevelopment
Nataliia Kozhemiako, Naihua Natalie Gong, Shaun Purcell. Sleep Medicine, 2026. Cites: paper

MAF-SleepNet: A Multimodal Attention-Enhanced Fusion Network for Automatic Multi-Class Sleep Disorder Classification from Polysomnography
Süleyman Yaman, Hasan Güler, Abdul Hafeez‐Baig. Diagnostics, 2026. Cites: paper

Sleep EEG foundation models reveal within-stage microstructure that improves health screening beyond traditional stages
William G. Coon, Mattson Ogg. npj Digital Medicine, 2026. Cites: paper

Hypnos: Learning Generalisable Representations of Sleep Physiology via Next-Token Prediction
Jonathan F. Carter, Lionel Tarassenko. arXiv (Cornell University), 2026. Cites: paper

Explainable ensemble learning framework for anxiety and stress detection in pediatric sleep EEG
Maria Bashir, Shaker El–Sappagh, Waleed Nazih et al. Applied Soft Computing, 2026. Cites: paper

Toward trustworthy digital healthcare: A system-level convergence of IoMT, large language models, and explainable AI
Maria Bashir, Shaker El–Sappagh, Simon S. Woo et al. Information Fusion, 2026. Cites: paper

Explainable attention-augmented CNN-BiGRU hybrid model for automated sleep stage classification in pediatric subjects with obstructive sleep apnea
Sneha Nargundkar, Supriya Shanbhag, Veena Desai. Discover Artificial Intelligence, 2026. Cites: paper

A dataset of EEG and ECG recordings around the onset of NREM sleep from infancy to adolescence
Nathan J. Stevenson, Kartik K. Iyer, James A. Roberts et al. Scientific Data, 2026. Cites: paper

Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data
Junghoon Park, YeongHyeon Park, Jiook Cha. International Conference on Quantum Communications, Networking, and Computing (QCNC), 2026. Cites: paper

Pediatric smart sleep diagnostics: integrating EEG, ECG, and respiratory signals for automated staging and OSA detection
Sneha Nargundkar, Supriya Shanbhag, Veena Desai. Sleep Epidemiology, 2026. Cites: paper

REM Sleep Abnormalities in Children With Autism Spectrum Disorder
Jiasen Ma, Junjun Qin, Hongfang Jiang et al. Autism Research, 2026. Cites: paper

Pediatric SleepNet: a deep learning network for reliable pediatric sleep staging across developmental stages
Ayush Tripathi, Arnav Gupta, Wolfgang Ganglberger et al. SLEEP, 2026. Cites: paper

CROCOpy - A Python toolbox for the analysis of CRitical Oscillations and COnnectivity
Vladislav O. Myrov, Felix Siebenhühner, Sheng Hua Wang et al. bioRxiv (Cold Spring Harbor Laboratory), 2026. Cites: paper

BiTimeCrossNet: Time-Aware Self-Supervised Learning for Pediatric Sleep
Saurav Raj Pandey, Harlin Lee. arXiv (Cornell University), 2026. Cites: dataset

PENERAPAN METODE MOVENET UNTUK DETEKSI KETEPATAN GERAKAN DALAM OLAHRAGA BULU TANGKIS
Sendy Jonathan, Yo Ceng Giap. POTERS (Proceedings of Technology, Engineering and Computers), 2026. Cites: paper

Attentive Dilated Convolution for Automatic Sleep Staging Using Force-Directed Layout
Md Jobayer, Md. Mehedi Hasan Shawon, Tasfin Mahmud et al. IEEE Access, 2026. Cites: dataset, paper

PSG-MAE: Robust Multitask Sleep Event Monitoring Using Multichannel PSG Reconstruction and Inter-Channel Contrastive Learning
Yifei Wang, Qi Liu, Fuli Min et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025. Cites: paper

SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
Andrew Dei Rossi, Matteo Metaldi, Michal Bechný et al. npj Digital Medicine, 2025. Cites: paper

Data Imputation for Noisy Time-Series Data in Healthcare
Lien P. Le, Hieu Nguyen, Thu Nguyen et al. Lecture notes in computer science, 2025. Cites: paper

Critical states in sleep EEG: developmental evolution across 3192 clinical children aged 0-18 years
Huimin Sun, Wang Wan, Xingran Cui et al. SLEEP, 2025. Cites: dataset, paper

Temporal–Spectral–Spatial Multidimensional Feature Fusion-Based Heterogeneous Graph Adaptive Neural Network for Sleep Stage Classification
Hang Zhang, Qi Li, Wenli Zhao et al. IEEE Sensors Journal, 2025. Cites: paper

The Boston Children’s Hospital sleep corpus: a collection of 15695 annotated pediatric polysomnograms
Ayush Tripathi, Wolfgang Ganglberger, Haoqi Sun et al. SLEEP, 2025. Cites: paper

Gastrointestinal and Sleep Disorders in Children With and Without Autism
Lisa M. Bashore, Andrea M. Smith, Ann Hammack Johnson et al. Gastroenterology Nursing, 2025. Cites: paper

Single-Channel Polysomnographic Signals Enable Accurate Age Estimation and Brain-Age Gap Biomarker Quantification
Mattson Ogg, William G. Coon. medRxiv, 2025. Cites: paper

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
Cem Ata Baykara, Saurav Raj Pandey, Ali Burak Ünal et al. arXiv (Cornell University), 2025. Cites: dataset

Feeding, dysphagia, weight, and sleep in pediatric patients: mediation analysis and comparison of autism and non-autism
Ann Hammack Johnson, David Farbo, Wilson Johnson et al. Sleep Science and Practice, 2025. Cites: paper

Foundation Models Reveal Untapped Health Information in Human Polysomnographic Sleep Data
William G. Coon, Mattson Ogg. medRxiv, 2025. Cites: paper

A Hybrid Deep Learning Model to Detect Obstructive Sleep Apnea for Adult Patients in Bangladesh
Niger Sultana Mou, Jasiya Fairiz Raisa, Mohammed Nasir Uddin. Biomedical Engineering International Conference, 2025. Cites: paper

Sleep Disorder Analysis Using Large Language Models
Benjamin Hung, Mostafa Ali Shahin, Beena Ahmed. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Sleep Stage Classification of Pediatric Patients with Sleep-Disordered Breathing using Airflow Signals
Shashank Manjunath, Hau‐Tieng Wu, Aarti Sathyanarayana. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Pediatric sleep staging from airflow signals via persistence curve approximations
Shashank Manjunath, Hau‐Tieng Wu, Aarti Sathyanarayana. Computers in Biology and Medicine, 2025. Cites: paper

The Association Between Pediatric Obstructive Sleep Apnea and Hypertension: A Database Study
Summer Xu, Sophia Angelo, Jessica R. Levi. Otolaryngology, 2025. Cites: paper

A Unified Flexible Large Polysomnography Model for Sleep Staging and Mental Disorder Diagnosis
Haiteng Jiang, Guifeng Deng, Mengfan Niu et al. Research Square, 2025. Cites: paper

Leveraging clinical sleep data across multiple pediatric cohorts for insights into neurodevelopment: the Retrospective Analysis of Sleep in Pediatric (RASP) cohorts study
Naihua Natalie Gong, Aditya Mahat, Samya Ahmad et al. SLEEP, 2025. Cites: paper

A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions
Mohammed Yusuf Ansari, Mohammed Yaqoob, Mohammed Ishaq et al. Artificial Intelligence Review, 2025. Cites: paper

Polysomnography based Sleep Stage Classification using Deep Learning for Sleep Apnea Pediatric Subjects
Sapna Jain, Abhishek Singhal, Jaynendra Kumar Rai et al. OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON), 2025. Cites: dataset, paper

Topological Data Analysis Based Characteristics of Electroencephalogram Signals in Children With Sleep Apnea
Aarti Sathyanarayana, Shashank Manjunath, José A. Perea. Journal of Sleep Research, 2025. Cites: paper

Age estimation for disorder characterization from pediatric polysomnograms
Sven Festag, Sebastian Herberger, Cord Spreckelsen et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Multimodal missing data in healthcare: A comprehensive review and future directions
Lien P. Le, Thu Nguyen, Michael Riegler et al. Computer Science Review, 2025. Cites: paper

Understanding Sleep Dynamics Gathered from Wearable Devices with Explainable Recurrent Neural Networks
Ander Cejudo, Markel Arrojo, Aitor Almeida et al. Lecture notes in computer science, 2025. Cites: paper

Co-developing sleep-wake and sensory foundations for cognition in the human fetus and newborn
Kimberley Whitehead. Developmental Cognitive Neuroscience, 2024. Cites: paper

A Unified Flexible Large Polysomnography Model for Sleep Staging and Downstream Clinical Screening
Guifeng Deng, Mengfan Niu, Shuying Rao et al. medRxiv, 2024. Cites: paper

Multimodal heterogeneous graph fusion for automated obstructive sleep apnea-hypopnea syndrome diagnosis
Haoyu Wang, Xihe Qiu, Bin Li et al. Complex & Intelligent Systems, 2024. Cites: paper

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals
Saurav Raj Pandey, Aaqib Saeed, Harlin Lee. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

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