This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Sleep Apnea (36) Wearable Devices and Sensors (1133) Respiratory Medicine (157) Artificial Intelligence (2129)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58187, first published .
Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis

Authors of this article:

Alaa Abd-alrazaq1 Author Orcid Image ;   Hania Aslam1 Author Orcid Image ;   Rawan AlSaad1 Author Orcid Image ;   Mohammed Alsahli2 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Rafat Damseh3 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (28) Tweetations (2) Metrics

Journals

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  2. Pinilla L, Chai‐Coetzer C, Eckert D. Diagnostic Modalities in Sleep Disordered Breathing: Current and Emerging Technology and Its Potential to Transform Diagnostics. Respirology 2025;30(4):286 View
  3. Bhatt A, Sengupta S, Abolhassani A, Brower D, Forehand C, Keats K, Kwon Y, Healy W. Awakening Sleep Medicine: The Transformative Role of Artificial Intelligence in Sleep Health. Current Sleep Medicine Reports 2025;11(1) View
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  8. Zhou C, Ji S, Zhang A, Yu H, Liu C, Li S. Bibliometric and visual analysis of circadian rhythms in depression from 2004 to 2024. Annals of General Psychiatry 2025;24(1) View
  9. Abou Jaoude M. Beyond automation: what’s next for artificial intelligence in sleep?. SLEEP 2025;48(8) View
  10. Erfanian R, Mahdavian F, Abdollahi H, Yoosefi A, Heidari R, Alamdari M. Identifying predictors of patient satisfaction following uvulopalatopharyngoplasty. Sleep and Breathing 2025;29(3) View
  11. Haghighat S, Joghatayi M, Issa J, Azimian S, Brinz J, Ashkan A, Chaurasia A, Rahimian Z, Sangalli L. Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review. BMC Medical Informatics and Decision Making 2025;25(1) View
  12. Ranjan K, Barar B, Prasad M, Prasad G. Application of artificial intelligence in electrochemical diagnostics for human health. Discover Electrochemistry 2025;2(1) View
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  15. Verma R. Artificial intelligence may fill the gap of underdiagnosis in sleep medicine: the role of ChatGPT-4. Journal of Clinical Sleep Medicine 2025;21(9):1507 View
  16. Ali A, Jianjun H, Jabbar A, Kashif Jabbar M. Multi-Sensor Wearable-Based Sleep Stage Classification Using Federated Learning for Enhanced Privacy. IEEE Access 2025;13:157842 View
  17. Perumbally H, Thampi M, Patel J. Artificial Intelligence in Sleep Apnoea: Review. Indian Journal of Otolaryngology and Head & Neck Surgery 2025;77(11):5275 View
  18. Kacper Trząsalski , Katarzyna Oświeczyńska , Aleksandra Sowa , Sebastian Kupisiak , Patrycja Jędrzejewska-Rzezak . WEARABLE TECHNOLOGIES AND AI-DRIVEN ANALYTICS FOR CIRCADIAN RHYTHM MONITORING: OPPORTUNITIES AND CHALLENGES IN HEALTHCARE. International Journal of Innovative Technologies in Social Science 2025;3(3(47)) View
  19. Kim Y, Kim M, Shin J, Ko M. ApneaWhisper: Transformer-Based Audio Segmentation for Fine-Grained Non-Invasive Sleep Apnea Detection. Nature and Science of Sleep 2025;Volume 17:2455 View
  20. Pedroso A, Schwamm L, Khera R. Distributed Precision Stroke Care: Artificial Intelligence-Driven Stroke Management Using Multimodal Sensor Data. Stroke 2025 View
  21. Vaishnav A, Desai S. Revolutionizing Stroke Management with Wearable Technology: A Narrative Review of Clinical Applications, Opportunities, Challenges, and the Future Path Towards Equitable Implementation. Annals of Indian Academy of Neurology 2025;28(5):654 View
  22. Arif A, Arif A, Shafiq Chaudhry A, Ahmad Khan M. AI-Augmented Sleep Apnea Screening in Neurology Clinics: Bridging Sleep and Cognitive Health. INNOVAPATH 2025;1(9):3 View
  23. Rani S, Gao E, Ong J, Tan N, Ng A, Leong Z, Phua C, Ong T, Leow L, Huang G, Tan B, Toh S. Multichannel machine learning for polysomnographic diagnosis of obstructive sleep apnea: a bayesian meta-analysis. European Archives of Oto-Rhino-Laryngology 2025 View
  24. Hasanain M, Akram A, Kabir A, Javed H, Usman M, Jaffar H, Khan A, Ali Malik G, Tabassum M, Faizan M, Anjum M, Umer M, Surani S. Diagnostic value of wearable and contactless technologies for detecting obstructive sleep apnea: a systematic review and meta-analysis. Sleep and Breathing 2025;29(6) View

Books/Policy Documents

  1. Silva V, Marreiros G, Conceição L. Progress in Artificial Intelligence. View

Conference Proceedings

  1. Nakajima R, Taki K, Wang H, Ma J. 2024 IEEE Smart World Congress (SWC). Real-time Respiratory Apnea Detection Using mmWave Radar View
  2. Lu C, Brahim W, Wang H, Ma J. 2024 IEEE Smart World Congress (SWC). FMCW Radar-based Sleep Posture Recognition with Transfer Learning and Range-Aware Dataset View
  3. Singh J, Ragothaman H, Jaggi A, Solaev O, Dilbar U, Chauhan A. 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT). Personalized Healthcare Monitoring Through AR Wearables and Predictive Analytics Algorithms View