Publications citing You Snooze You Win: The PhysioNet/Computing in Cardiology Challenge 2018 v1.0.0

AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
Niklas Grieger, Jannik Raskob, Siamak Mehrkanoon et al. npj Digital Medicine, 2026. Cites: paper

Sleep Stage Classification Across Heterogeneous EEG/EOG Channels with Multi-channel Differential Transformer
Benjamin M. Chin, Yuin Torng Yew, Jia Hong Puah et al. Cognitive Neurodynamics, 2026. Cites: paper

PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
Mohammad M. Ghassemi, Benjamin Moody, Li-wei H. Lehman et al. UC San Diego, 2026. Cites: dataset, paper

Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS–ANS Dynamics
Zhoujie Hou, Song Wang, Kexin Lou et al. Lecture notes in computer science, 2026. Cites: paper

REM-Flow: Robust and Extensible Multi-Center Sleep Staging via Generative Knowledge Replay
Xiaojun Ning, Jing Wang, Chenzhang Li et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Cites: paper

Anchor-free temporal localization of apnea events from EEG/EOG with state-space models
Zahra Mila Elmi, Soheila Elmi. Physiological Measurement, 2026. Cites: paper

A Sleep Staging Method Based on Cardiopulmonary Signals Using a Unified Multimodal Model
Lin Guo, Yuhang Yin, C R Wang et al. Technologies, 2026. Cites: paper

Automated deep learning-based arousal detection agrees with ten expert scorers in unseen data
Henna Pitkänen, R. Huttunen, Masoumeh Tashakori et al. SLEEP, 2026. Cites: paper

PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
Mohammad M. Ghassemi, Benjamin Moody, Li-wei H. Lehman et al. UC San Diego, 2026. Cites: dataset, paper

Artificial intelligence-based automated sleep staging using heart rate variability: Assessment of performance and clinical prospects
Suvradeep Chakraborty, Manish Goyal, Paritosh Goyal et al. The National Medical Journal of India, 2026. Cites: paper

Artificial intelligence for sleep instability and motor phenotyping: clinical translation beyond sleep staging
Maria Paola Mogavero, Oliviero Bruni, Giuseppe Lanza et al. SLEEP, 2026. Cites: paper

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
Hubert J. Banville, Stéphane d’Ascoli, Simon Dahan et al. arXiv (Cornell University), 2026. Cites: paper

Deep learning for EEG-based sleep stage classification: a review
Ke Yang, H M Wang. Medical & Biological Engineering & Computing, 2026. Cites: paper

Efficient Sleep Staging With Bayesian Uncertainty-Guided Active Learning
Tianyou Yu, Rui Huang, Fei Wang et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Wearable Foundation Models Should Go Beyond Static Encoders
Yu Yvonne Wu, Yuwei Zhang, Hyungjun Yoon et al. arXiv (Cornell University), 2026. Cites: paper

Large-Scale Validation of a Dual Cross-Attention Network for Automated Sleep Staging Using Wearable Photoplethysmography Signals
Ruochen Li, Yutao He, Yanan Bie et al. Diagnostics, 2026. Cites: paper

Obstructive Sleep Apnea Prediction: A Comprehensive Review and Comparative Study
Huynh Thi Khanh Chi, Amonae Dabbs‐Brown, Anna Jurek et al. Machine Learning, 2026. Cites: paper

SleepMFormer: An Efficient Attention Framework with Contrastive Learning for Single-Channel EEG Sleep Staging
Mingjie Li, Jie Xia, Pan Jl et al. Brain Sciences, 2026. Cites: paper

A unified time-frequency foundation model for sleep decoding
Weixuan Huang, Yan Wang, Hanrong Cheng et al. Nature Communications, 2026. Cites: paper

Computer-Assisted Diagnosis of Obstructive Sleep Apnea in Adults: A Narrative Review
Ying Jiang, HUIPING LUO, Mrzayan Yerbolat et al. IRBM, 2026. Cites: paper

SleepTNet: Automatic Sleep Stage Classification With Transition Model Using Multi-Channel EEG
Waruna Saowapark, Nantawachara Jirakittayakorn. IEEE Access, 2026. Cites: paper

SleepNet: A Hybrid Deep Learning Approach for Sleep Stage Classification Using Electrocardiogram
Shoeb Khan, Md Mayenul Islam. International Conference on Computer and Information Technology (ICCIT), 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

Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li, Xin Chen, Fanqi Shen et al. IEEE Reviews in Biomedical Engineering, 2025. Cites: paper

NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework With Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring
Muhammad Sudipto Siam Dip, Mohammod Abdul Motin, Chandan Kumar Karmakar et al. IEEE Access, 2025. Cites: paper

Retracted: Integration of Artificial Intelligence and Edge Computing for Adaptive Cyber-Physical Systems in Mission-Critical Environments
Rajanikanth Sanku, B. S. Shreenidhi, Durga Bramarambika Sailaja Varri et al. IEEE International Conference on Recent Trends in Computing and Smart Mobility (RCSM), 2025. Cites: paper

Recent developments in electroencephalography with deep learning models
Michail Marinis, Εleni Vrochidou, George A. Papakostas. Elsevier eBooks, 2025. Cites: paper

Robust Sleep Bruxism Detection Using Multimodal Physiological Signal Classification and Crossdataset Machine Learning
Daniela Ana Ioana Piritu, Dragoş Daniel Ţarălungă. IEEE International Symposium for Design and Technology in Electronic Packaging (SIITME), 2025. Cites: paper

An Innovative Approach for Sleep Arousal Detection: Integrating Multi-modal CNN Architectures and Attention Mechanisms
Subham Kumar Padhy, Mukti Routray, Priya Mishra. Lecture notes in networks and systems, 2025. Cites: paper

DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG
Zahra Yousefi Jamarani, Fiona C. Baker, Massimiliano de Zambotti et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

Atrial Cardiomyopathy: From Healthy Atria to Atrial Failure. A Clinical Consensus Statement of the Heart Failure Association of the ESC
Jerremy Weerts, Otilia Țica, Julia A. Aranyo et al. European Journal of Heart Failure, 2025. Cites: paper

TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors
Tiantian Feng, Brandon M. Booth, Karel Mundnich et al. 2025. Cites: paper

An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals
Andia Foroughi, Fardad Farokhi, Fereidoun Nowshiravan Rahatabad et al. Brain Research Bulletin, 2025. Cites: paper

Lateral connection convolutional neural networks for obstructive sleep apnea hypopnea classification
Junming Zhang, Yushuai Wang, Ruxian Yao et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

Parametric Estimation of Respiratory Signals for ML-Based Early Detection of Sleep Apnea
Md Nagib Mahfuz Sunny, Abdullah Al Nahian, Syed Walid Ahmed et al. International Conference on Computer Science, Technology and Engineering (ICCSTE), 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

Bewertung von KI-Algorithmen für die klinische PSG-Auswertung am Beispiel der Apnoe-Erkennung
Franz Ehrlich, Martin Sedlmayr, Miriam Goldammer. Somnologie - Schlafforschung und Schlafmedizin, 2025. Cites: paper

A study of heart–brain information flow across sleep stages using transfer entropy
Shumei Zhu, Jingyi Yu, Yuman Luo et al. AIP Advances, 2025. Cites: paper

Reconstruction of EEG and ECG from Single Channel Mixture using Branched Autoencoder based Separable Representations
Shreyasi Datta, Jayavardhana Gubbi, Arpan Pal. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

A foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages
Benjamin Fox, Joy X. Jiang, Sajila Wickramaratne et al. SLEEP, 2025. Cites: paper

Amplitude-aware symbolic transfer entropy for heart–brain coupling analysis across sleep stages
Shumei Zhu, Weiyuan Sun, Min Xie et al. AIP Advances, 2025. Cites: paper

Sleep Apnea Detection Using EEG: A Systematic Review of Datasets, Methods, Challenges, and Future Directions
Shireen Fathima, Maaz Ahmed. Annals of Biomedical Engineering, 2025. Cites: paper

Is Limited Participant Diversity Impeding EEG-based Machine Learning?
Philipp Bomatter, Henry Gouk. neural information processing systems, 2025. Cites: paper

Longitudinal, EEG-based assessment of sleep in people with epilepsy: An automated sleep staging algorithm non-inferior to human raters
Asbjoern W. Helge, Federico Gabriel Arguissain, L. Lechner et al. Clinical Neurophysiology Practice, 2025. Cites: paper

Sleep Staging Using PPG-Derived Heart Rate and Accelerometer Data From a Smart Ring With Lightweight Neural Networks
Roneel V. Sharan, Hiroki Takeuchi, Akifumi Kishi et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

AI-driven approaches for automatic detection of sleep apnea/hypopnea based on human physiological signals: a review
Dandan Peng, Le Sun, Qian Zhou et al. Health Information Science and Systems, 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

Artificial Intelligence Can Drive Sleep Medicine
Haoqi Sun, Ankit Parekh, ROBERT JOSEPH THOMAS. Sleep Medicine Clinics, 2024. Cites: paper

Is Attention All You Need for EEG to Predict Neurological Outcomes in Cardiac Arrest?
Jefferson Dionisio, Muhammad Rizwan, Hidetaka Suzuki et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

SleepGPT: A Sleep Stage Language Model for Efficient Sleep Assessment
Tianyou Yu, Zhenghui Gu, Zhenfu Wen et al. medRxiv, 2024. Cites: paper

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