Cited by
St. Vincent's University Hospital / University College Dublin Sleep Apnea Database (v1.0.0)
19 publications cite any version of this project, newest first.
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Energy-efficient real-time 4-stage sleep classification at 10-second resolution
Zahra Mohammadi, Parnian Fazel, Siamak Mohammadi. Medical & Biological Engineering & Computing, 2026. -
A Dual-Channel CBFA Network for Sleep Respiratory Event Detection Using SpO2 and Nasal Airflow
Yihao Wang, Jie Gao, Wenxiu Shu et al. International Conference on Health Big Data, 2026. -
PIANet: a parallel interactive attention network for multi-channel PSG-based sleep staging
Xiang Li, Kebin Jia, Zheng Jin. Biomedical Physics & Engineering Express, 2026. -
Analysis of federated learning on non-independent and identically distributed sleep data
Adriana Anido-Alonso, Diego Álvarez-Estévez. Physiological Measurement, 2026. -
Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients
Suvadeep Maiti, Shivam Kumar Sharma, Sivasubramanian Mythirayee et al. Scientific Data, 2026. -
Robust performances of a nocturnal long-term ECG algorithm for the evaluation of sleep apnea syndrome: A pilot study
Pauline Guyot, Morgane Eveilleau, Thierry Bastogne et al. PLoS ONE, 2025. -
Apnoea detection using ECG signal based on machine learning classifiers and its performances
Rolant Gini J, K. S. Dhanalakshmi. Journal of Medical Engineering & Technology, 2023. -
OSASUD: A dataset of stroke unit recordings for the detection of Obstructive Sleep Apnea Syndrome
Andrea Bernardini, Andrea Brunello, Gian Luigi Gigli et al. Scientific Data, 2022. -
Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review
Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang et al. ACM Transactions on Computing for Healthcare, 2022. -
Inter-database validation of a deep learning approach for automatic sleep scoring
Diego Álvarez-Estévez, Roselyne M. Rijsman. PLoS ONE, 2021. -
A Robust Sleep Apnea-hypopnea Syndrome Automated Detection Method Based on Fuzzy Entropy Using Single Lead-EEG Signals
Yao Wang, Tianshun Yang, Siyu Ji et al. Research Square, 2021. -
A New Approach to High-Order Electroencephalogram Phase Analysis Details the Mathematical Mechanisms of Central Nervous System Impulse Encoding
Ricardo Joseph Simeoni. UNET JOSS Journal of Science and Society, 2021. -
Untitled
UNET JOSS Journal of Science and Society, 2021. -
Machine learning for diagnosis and monitoring of sleep apnea
Dmytro Tkachenko, Ігор Володимирович Круш, Віталій Геннадійович Михалько et al. System research and information technologies, 2020. -
A Sub-frame Based Feature Extraction Approach from Split-Band EEG Signal for Sleep Apnea Event Detection Using Multi-Layer LSTM
Tanvir Mahmud, Ishtiaque Ahmed Khan, Talha Ibn Mahmud et al. IEEE Region 10 Symposium (TENSYMP), 2020. -
Estimation of the apnea-hypopnea index in a heterogeneous sleep-disordered population using optimised cardiovascular features
Gabriele B. Papini, Pedro Miguel Fonseca, Merel M. van Gilst et al. Scientific Reports, 2019. -
Unified Wavelet Transform Analysis Adapted to Different Biomedical Applications
Girisha Garg, Vijander Singh. IGI Global eBooks, 2017. -
Data–Driven Multimodal Sleep Apnea Events Detection
Tomasz M. Rutkowski. Journal of Medical Systems, 2016. -
Unified Wavelet Transform Analysis Adapted to Different Biomedical Applications
Girisha Garg, Vijander Singh. Advances in data mining and database management book series, 2016.
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.