A Systematic Review of Detecting Sleep Apnea Using Deep Learning

Mostafa, Sheikh Shanawaz, Mendonça, Fábio, G. Ravelo-García, Antonio, Morgado-Dias, Fernando·2019·Sensors

Cited by (182)

Items 101–182 of 182

  1. A Deep Learning-Based Framework for Automated Obstructive Sleep Apnea Detection Using ECG Signals
    Pucha Srinivasa Pavan, N. Ramakrishnaiah · 2025 · International Journal of Computer Applications
  2. Automated Sleep Apnea Detection Using CNNs: Insights into the Impact of FFT Feature Extraction on EEG Signals
    Mera Kartika Delimayanti, Asep Taufik Muharram, Ayres Pradiptyas, Rinaldito A. Ryanari, Raditya A. Prasetyo, Rizky Adi, Mohammad Reza Faisal, Rizqi Fitri Naryanto, Haralampos Hatzikirou · 2025 · Journal of Advances in Information Technology
  3. Automated OSAHS detection from ECG using temporal convolutional network
    Lei Cheng, Juan Bai, Aizhu Liu, Suyin Feng, Runfeng Sun · 2025 · Scientific Reports
  4. Tree-Based Machine Learning Techniques for Automated Human Sleep Stage Classification
    Recep Sinan Arslan, Hasan Ulutaş, Ahmet Sertol Köksal, Mehmet Bakır, Bülent Çiftçi · 2023 · Traitement du signal
  5. Diagnosing OSA and Insomnia at Home Based Only on an Actigraphy Total Sleep Time and RIP Belts an Algorithm “Nox Body Sleep™”
    Damien Léger, Maxime Elbaz · 2024 · Nature and Science of Sleep
  6. Chin electromyography-based motor unit decomposition for alternative screening of obstructive sleep apnea events: A comprehensive analysis
    Adil Rehman, Mostafa Mohamed Moussa, Hani H. Saleh, Ali A. Khraibi, Ahsan Habib Khandoker · 2024 · Engineering Applications of Artificial Intelligence
  7. Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation
    Talal Bonny, Mahmmud Qatmh, Khaled Obaideen, Maryam Nooman AlMallahi, Mohammad Al-Shabi, Ahmed I. Al-Shamma'a · 2023 · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization
  8. Estimating the risk of obstructive sleep apnea during wakefulness using facial images: A review
    Behrad TaghiBeyglou, Bernadette Ng, Fatemeh Bagheri, Azadeh Yadollahi · 2024 · Biomedical Signal Processing and Control
  9. Reinforcement Learning Based Prediction and Classification of Sleep Disorder
    T. Maragatham, B Vinodhini, Abineshwar M.K · 2024 · International Conference on Emerging Research in Computational Science (ICERCS)
  10. Deep learning approaches for image-based snoring sound analysis in the diagnosis of obstructive sleep apnea-hypopnea syndrome: A systematic review
    Li Ding, Jianxin Peng, Yujun Song · 2025 · World Journal of Radiology
  11. Automated Respiratory Event Detection Using Deep Neural Networks
    Thijs E. Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A. Bucklin, Siddharth Biswal, Michel J. A. M. van Putten, ROBERT JOSEPH THOMAS, Michael Brandon Westover · 2021 · arXiv (Cornell University)
  12. An important step toward automation of polysomnography analyses
    Matteo Cesari, Andreas Brink-Kjær, Irene Rechichi · 2025 · SLEEP
  13. Multimodal apnea detection: advancements through convolutional neural networks and STFT analysis of EEG, ECG, and nasal signals to tackle key challenges in innovation
    Mandana sadat Ghafourian, Amin Noori, Shaghayegh Taghipour, Amin Ramezani · 2025 · Computer Methods in Biomechanics & Biomedical Engineering
  14. DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals
    Sanjida Akter, Md. Akmol Masud, Mst. Sanzida Islam Promi, Nadia Sultana, Maruf Ahmed, Md. Mahmudur Rahman, Mohammad Abu Yousuf, Saad Aloteibi, Mohammad Ali Moni · 2025 · Biomedical Signal Processing and Control
  15. Combining Heart Rate Variability and Oximetry to Improve Apneic Event Screening in Non-Desaturating Patients
    Martín González, Antonio Gabriel Ravelo-García, Juan Luis Navarro-Mesa, Eduardo Hernández-Pérez · 2023 · Sensors
  16. Sleep Apnea Events Recognition Based on Polysomnographic Recordings: A Large-Scale Multi-Channel Machine Learning approach
    Nicolò La Porta, Stefano Scafa, Michela Papandrea, Filippo Molinari, Alessandro Puiatti · 2024 · IEEE Open Journal of Engineering in Medicine and Biology
  17. Chin EMG Scalogram-Based Deep CNN for OSA Screening
    Adil Rehman, Mostafa Mohamed Moussa, Hani H. Saleh, Naoufel Werghi, Ali A. Khraibi, Ahsan Habib Khandoker · 2024 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  18. Detection of Cheyne-Stokes Breathing using a transformer-based neural network
    Asbjoern W. Helge, Umaer Hanif, Villads Hulgaard Joergensen, Poul Jennum, Emmanuel Jean-Marie Mignot, Helge B. D. Sørensen · 2022 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  19. The value of nurse-led anthropometric and oropharyngeal measurements combined with STOP-Bang questionnaire in screening for obstructive sleep apnea in patients with acute coronary syndrome: a prospective cohort study
    Zexuan Li, Hua Miao, Siyu Zhang, Jingyao Fan, Yan Yan, Wei Gong, Wen Zheng, Xiao Wang, Bin Que, Hui Ai et al. · 2022 · BMC Pulmonary Medicine
  20. Pilot study of contactless sleep apnea detection based on snore signals with hardware implementation
    Heng Li, Xu Lin, Yun He Lu, Mingjiang Wang, Hanrong Cheng · 2023 · Physiological Measurement
  21. Developing and comparing machine learning models to detect sleep apnoea using single-lead electrocardiogram (ECG) monitoring
    Marcel Hedman, Alex Rojas, Anmol Arora, David Ola · 2021 · medRxiv
  22. Sleep-Disordered Breathing: Diagnosis
    Daniel Álvarez, Andrea Crespo, David Gozal, David Gozal, Félix del Campo · 2023 · Springer eBooks
  23. Continuous monitoring of breathing
    Miodrag Bolić · 2023 · Elsevier eBooks
  24. Effect of Class Weights on Imbalanced Classes in Bi-directional LSTM Training for Sleep Apnea Classification
    Ukkrit Jansri, Suradej Tretriluxana · 2024 · International Electrical Engineering Congress (iEECON)
  25. Classification of the sleep-wake state through the development of a deep learning model
    Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Ralf Seepold, Juan Antonio Ortega · 2024 · Procedia Computer Science
  26. Enhancing airway obstruction diagnosis with multimodal 3D shape analysis
    Lucie Dole, Cláudia Trindade Mattos, Jonas Bianchi, Heesoo Oh, Karine Evangelista, José Valladares Neto, Sergio Luiz Mota Júnior, Lucía Cevidanes, Juan Carlos Prieto · 2025 · International Journal of Computer Assisted Radiology and Surgery
  27. ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models
    Dongsheng Tian, Junzhe Jiang, Kai Zhang, Changchun Liu, Yu Yuan, Min Gao, Enhong Chen · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  28. An IoT-Enabled Smart Pillow with Multi-Spectrum Deep Learning Model for Real-Time Snoring Detection and Intervention
    Zhuofu Liu, Kotchoni K. O. Perin, Gaohan Li, Jian Wang, Tian He, You Xu, Peter William McCarthy · 2025 · Applied Sciences
  29. Developing an Attention-Based Deep Learning Framework for Obstructive Sleep Apnea Detection Using Single-Channel Oximetry Signal
    Malar Paavai Muthukumaran, Micky C. Nnamdi, J. Ben Tamo, Chad Allen Purnell, May Dongmei Wang · 2025 · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)
  30. Computer-Assisted Diagnosis of Obstructive Sleep Apnea in Adults: A Narrative Review
    Ying Jiang, HUIPING LUO, Mrzayan Yerbolat, Jun Tao · 2026 · IRBM
  31. Multimodal ECG and biometric data fusion for improved detection of obstructive sleep apnea hypopnea syndrome
    Quanjing Zhu, Mingqing Liang, Xingxin Gong, Yong He, Chao Mao · 2026 · Frontiers in Medicine
  32. Obstructive Sleep Apnea Prediction: A Comprehensive Review and Comparative Study
    Huynh Thi Khanh Chi, Amonae Dabbs‐Brown, Anna Jurek, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An et al. · 2026 · Machine Learning
  33. Automatic Sleep Apnea Detection Using 1D CNNBiLSTM on Single-Lead ECG Signals
    Khwahish, Praveen Kumar Tyagi, Ajay Sharma, Janmejai Gehlot · 2026 · IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS)
  34. Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments
    Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, Juan Antonio Ortega Ramirez · 2022 · Procedia Computer Science
  35. Comparing the performances of deep learning model with different signals underlying resampling techniques to classify sleep apnea
    Ukkrit Jansri, Suradej Tretriluxana · 2023 · International Conference on Engineering, Applied Sciences, and Technology (ICEAST)
  36. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
    A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martinez Alvarez, Alicia Troncoso · 2023 · Lecture notes in computer science
  37. Sleep Apnea sub-type detection from Polysomnography signals
    Arijit De, E. Priya · 2024 · IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
  38. Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Sleep Disorders
    Xin Zan, Feng Liu, Xiaochen Xian, Pãnos M. Pardalos · 2024 · Springer optimization and its applications
  39. A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data
    Emily T. Winn, Marilyn Vazquez, Prachi Loliencar, Kaisa Taipale, Xu Wang, Giseon Heo · 2021 · Association for Women in Mathematics series
  40. Sleep Monitoring in Adults Using Wearables and Unobtrusive Technology
    Margot Deviaene, Dorien Huysmans, Ivan Dario Castro, Pascal Borzée, Dries Testelmans, Bertien Buyse, Sabine Van Huffel, Carolina Varon · 2021 · Springer eBooks
  41. Spectral Analysis of ECG Ventricular Waveform Parameters in Obese Sleep Apnea Patients
    Mohammad A. Al-Abed, Areen K. Al‐Bashir, Nathir Obidat, Anwar Al-Khtaleen, Bahaa El-Khader, Bothaina Zakarneh, Dana Abu Areash, Lana Bzour, Layla Abu Awwad, Raghad Dajah et al. · 2021 · IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
  42. Exploring Sleep Deprivation Reason Prediction
    Dhiraj Kumar Azad, Kshitiz Shreyansh, Mihir Adarsh, Amita Kumari, M. B. Nirmala, A.S. Poornima · 2022 · Lecture notes on data engineering and communications technologies
  43. Automated analysis of the oximetry signal to simplify the diagnosis of pediatric sleep apnea: from feature-engineering to deep-learning approaches
    Fernando Vaquerizo Villar · 2021
  44. Inteligencia artificial en neumología
    Leslie Vargas-Ramírez, Rafael Brango Ayazo · 2022 · Medicina
  45. Towards automatic home-based sleep apnea estimation using deep learning
    Gabriela Retamales, Marino E. Gavidia, Ben Bausch, Arthur Noronha Montanari, Andreas Husch, Jorge M. Gonçalves · 2023 · medRxiv
  46. Sparse Decomposition of Heart Rate Using a Bernoulli-Gaussian Model: Application to Sleep Apnoea Detection
    Bruno Müller, Régis Lengelle · 2023 · Sensors
  47. Activity Recognition in IoT
    Muhammad Moid Sandhu, Sara Khalifa, Marius Portmann, Raja Jurdak · 2023 · Green energy and technology
  48. Introduction
    Fernando Vaquerizo Villar · 2023 · Springer theses
  49. Methods
    Fernando Vaquerizo Villar · 2023 · Springer theses
  50. A Comprehensive Review of ECG-Based Sleep Apnea Detection
    Mr. Krishna Gudi · 2023 · International Journal for Research in Applied Science and Engineering Technology
  51. Assessing Pediatric Sleep Apnea-Hypopnea Severity: Analyzing SpO2 Signals Spectrograms with Inception V3 Model
    Erfan Mortazavi, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari · 2023 · International Conference on Control, Instrumentation, and Automation
  52. Sleep Arousal Identification Based on Generative Adversarial Network and Multi-Head Attention Convolutional Network
    Zhongxing Liu, Wenjuan Lu, Jinxi Wang, Yu Chen, Caifeng Shan · 2024 · SSRN Electronic Journal
  53. Pre-Emptive Sleep Apnea Detection Using Deep Learning
    P Mugil Kumar, R Malavika, Philomina Sharon, R. Benazir Begam, V Yogalakshmi · 2024 · International Conference on Artificial Intelligence for Internet of Things (AIIoT)
  54. Machine Learning and Sound Processing in Vocal Disease Detection
    Mihai-Andrei Costandache · 2024 · Computer Science Journal of Moldova
  55. Comparison of deep transfer learning models to detect obstructive sleep apnea with single-channel electrocardiogram
    R.H. Talwekar, Nivedita B. Singh · 2024 · Elsevier eBooks
  56. Polysomnography Raw Data Extraction, Exploration, and Preprocessing
    Malak Abdullah Almarshad, Md Saiful Islam, Sultan Bahammam, Saad A. Al-Ahmadi, Ahmed Salem BaHammam · 2024 · Springer optimization and its applications
  57. A Probabilistic Perspective: Bayesian Neural Network for Sleep Apnea Detection
    Minhee Kim, Xin Zan, Xiaochen Xian · 2024 · Springer optimization and its applications
  58. Applying Machine Learning Techniques for Multiple Medical Conditions
    Mihai-Andrei Costandache · 2024 · Procedia Computer Science
  59. WITHDRAWN: Detecting Sleep Anomalies from SpO2 Data Using Autoencoder-Based Neural Networks
    Yongrui Chen, Yurui Zheng, Adam Worrall, Sam R. Johnson, Richard Wiffen, Bin Yang · 2025 · Biomedical Engineering Advances · Retracted
  60. Challenges in calculating the AHI to diagnose sleep apnoea using deep learning and portable monitors
    Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold · 2025 · Somnologie - Schlafforschung und Schlafmedizin
  61. World of ScoreCraft : Novel Multi‐Scorer Experiment on the Impact of a Decision Support System in Sleep Staging
    Benedikt Holm, Arnar Óskarsson, Björn Elvar Þorleifsson, Hörður Þór Hafsteinsson, Sigridur Erla Sigurdardottir, Heiður Grétarsdóttir, Kenan Hoelke, Gabriel Jouan, Thomas Penzel, Erna Sif Arnardóttir et al. · 2025 · Journal of Sleep Research
  62. Predicting Sleep Disorders Using Machine Learning: A Comparative Analysis
    Sarah Goodyear, Abdallah Alsammani · 2025 · Lecture notes in computer science
  63. Research on Intelligent Diagnosis and Treatment of Sleep Apnea Syndrome Driven by Health Big Data
    Junhao Cheng, Hu Bin · 2024 · International Conference on Ubiquitous Computing and Communications (IUCC)
  64. Design of Smart Watch for Detection and Monitoring Obstructive Sleep Apnea
    Ansh Marfatia, Reetu Jain · 2025 · Lecture notes in networks and systems
  65. Artificial Intelligence in Sleep Apnoea: Review
    Hafees Abdullah Perumbally, Manu Thampi, Jithesh Patel · 2025 · Indian Journal of Otolaryngology and Head & Neck Surgery
  66. Automatic Sleep Apnea Detection from EEG Using Deep Convolutional Neural Networks
    Elena Irurueta, Mariano Fernández-Corazza · 2025 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
  67. Deep Learning Methods for Apnoea Detection Based on Pulse and Oximetry Data
    Dongjin Yang, Jingqiong Zhang, Eishaan Kamta Bhargava, Heather Elphick, Sanja Dogramadzi, Lyudmila S. Mihaylova · 2025 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
  68. Implementation of an Optimized Deep Learning Model to Assess Pediatric Sleep Apnea Severity Using SpO2 Signals on Resource-Limited Microcontrollers
    Erfan Mortazavi, Hanieh Mohammadi, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari · 2025
  69. ECG-based Obstructive Sleep Apnea Detection using a Meta Classifier
    Nimmala Mangathayaru, Pappula Venkata Narasimha Reddy, Nemami Srilekha, P Harish, Essapally Karthik · 2025 · IEEE India Council International Subsections Conference (INDISCON)
  70. Real‐Time Sleep Apnea Monitoring System Using IoT
    P. Sinthia, S. Saran Raj, P. Amuthan, M. Ganesh · 2025
  71. Deep learning based detection and classification of vertigo induced by Galvanic Vestibular Stimulation (GVS) using EEG analyses
    Yuehua Geng, Boyu Zhang, Guizhi Xu · 2026 · Engineering Research Express
  72. A Multimodal and Multiresolution Fusion Using Convolutional Neural Networks
    Arlene John, Barry Cardiff, Deepu John · 2026 · Springer eBooks
  73. A Survey of Fusion Frameworks and Algorithms for Physiological Monitoring
    Arlene John, Barry Cardiff, Deepu John · 2026 · Springer eBooks
  74. TFR-GANNet: Multi-channel time–frequency ridge fusion and CWGAN-GP for sleep arousal identification
    Wenjuan Lu, Zhongxing Liu, Yu Chen, Jinxi Wang · 2026 · Biomedical Signal Processing and Control
  75. Sleep Disorder Prediction: Optimized Deep Learning Enhanced with Explainable AI
    Fariha Subrin Riza, Mamunur Rashid Alex, Touhid Bhuiyan, M M Ul Hassan · 2026 · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
  76. Machine learning techniques in sleep apnea detection: A systematic review
    Nazar Elfadil · 2026 · Intelligent Systems with Applications
  77. Multimodal ECG-EEG Fusion Network for High-Sensitivity Sleep Apnea Detection Under Severe Class Imbalance
    Nayini Manasa, A G Ananth Sharvani G S, NV Madhu Bindu · 2026 · International Conference on Interactive Systems & Information Society Technologies (InterSys)
  78. Frugal Cardiopulmonary Sensor Fusion: Algorithmic Evaluation of SpO2 and ECG for Edge-Based Sleep Apnea Triage
    R. Maheswar, K.J. Keerthi Kumar, M. Thilali Rani, M. R. Thiyagupriyadharsan, M. Ragul Vignesh, Shiyam Prasad Selvaraj · 2026 · International Conference on Cognitive Computing and Networking Systems (ICC-CNS)
  79. Electric field-response systems for biomedical application
    Basma Yehia Abdel-Halim, Ahmed Tarek El-Sayed Amin, Rawan Atef Essmat, Manar Araby Ahmed Al-anany, Heba M. Fahmy, Emad S. Goda · 2026 · Elsevier eBooks
  80. Effectiveness of sleep stage transition probability features to detect sleep disorders from single-night hypnogram
    Emran Ali, Chandan Kumar Karmakar, Alireza Daneshkhah, Jason Ellis, Maia N Angelova · 2026 · Interface Focus
  81. ECG-based artificial intelligence for obstructive sleep apnea detection: a mechanism-oriented diagnostic meta-analysis
    Ayşe BULUT, Ömer Engin Bulut · 2026 · Sleep And Breathing
  82. Edge AI Deployment of Lightweight TCN-SE for Real-Time Sleep Apnea Detection Using SpO₂ Signal: A Cross-Platform Deployment Case Study
    JongHwi Song, Erdenebayar Urtnasan · 2026 · IEEE Access