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

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

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

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

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

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

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

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

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

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

Time–frequency ridge characterisation of sleep stage transitions: Towards improving electroencephalogram annotations using an advanced visualisation technique
Christopher McCausland, Pardis Biglarbeigi, Raymond Bond et al. Expert Systems with Applications, 2024. Cites: paper

A Multi-modal Framework with Contrastive Learning and Sequential Encoding for Enhanced Sleep Stage Detection
Zehui Wang, Zhihan Zhang, Hongtao Wang. Lecture notes in computer science, 2024. Cites: paper

Sleep Apnea Identification Based on EEG Signals Using Hybrid Spatio-Temporal Deep Learning
Romy Syaputra Wijaya, Esmeralda C. Djamal, Fatan Kasyidi. International Conference on Computer, Control, Informatics and its Applications, 2024. Cites: paper

An enzyme-inspired specificity in deep learning model for sleep stage classification using multi-channel PSG signals input: Separating training approach and its performance on cross-dataset validation for generalizability
Nantawachara Jirakittayakorn, Yodchanan Wongsawat, Somsak Mitrirattanakul. Computers in Biology and Medicine, 2024. Cites: paper

State-of-the-art sleep arousal detection evaluated on a comprehensive clinical dataset
Franz Ehrlich, Tony Sehr, Moritz Brandt et al. Scientific Reports, 2024. Cites: paper

Do all sedatives promote biological sleep electroencephalogram patterns? A machine learning framework to identify biological sleep promoting sedatives using electroencephalogram
Sowmya Muchukunte Ramaswamy, Merel H. Kuizenga, Maud A. S. Weerink et al. PLoS ONE, 2024. Cites: paper

A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
Sergio Kazatzidis, Siamak Mehrkanoon. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

Sleep staging algorithm based on smartwatch sensors for healthy and sleep apnea populations
Fernanda B. Silva, Luisa Fernanda Suárez Uribe, Felipe X. Cepeda et al. Sleep Medicine, 2024. Cites: paper

Securing Internet-of-Medical-Things networks using cancellable ECG recognition
Samia A. El-Moneim Kabel, Ghada M. El‐Banby, Lamiaa A. Abou Elazm et al. Scientific Reports, 2024. Cites: paper

Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
Tanvir Islam, Peter Yigitcan Washington. Biosensors, 2024. Cites: paper

Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang, Sha Zhao, Haiteng Jiang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

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