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

Digital Health Reviews (3717) Wearables and MHealth Reviews (685) mHealth for Screening (468) Wearable Devices and Sensors (1607) Insomnia and Sleep Hygiene (312) Sleep Monitoring, Sleep Quality, Sleep Disorders (356) Artificial Intelligence (4844) Sleep Medicine (57)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65272, first published .
Woman in white robe checks fitness tracker on wrist while using laptop in bed

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review

Authors of this article:

Sarah Aziz1 Author Orcid Image ;   Amal A M Ali2, 3 Author Orcid Image ;   Hania Aslam1 Author Orcid Image ;   Alaa A Abd-alrazaq1 Author Orcid Image ;   Rawan AlSaad1 Author Orcid Image ;   Mohannad Alajlani4 Author Orcid Image ;   Reham Ahmad4 Author Orcid Image ;   Laila Khalil5 Author Orcid Image ;   Arfan Ahmed1 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

Journals

  1. Elfouly T, Alouani A. A Comprehensive Survey on Wearable Computing for Mental and Physical Health Monitoring. Electronics 2025;14(17):3443 View
  2. Albertini M, Spoto G, Ceraolo G, Fichera M, Consoli C, Nicotera A, Di Rosa G. Sleep Disorders in Children with Autism Spectrum Disorder: Developmental Impact and Intervention Strategies. Brain Sciences 2025;15(9):983 View
  3. 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
  4. Park J, Park S. PDSRS-LD: Personalized Deep Learning-Based Sleep Recommendation System Using Lifelog Data. Sensors 2025;25(20):6292 View
  5. Zhou Y, Xue F. Can weekend catch-up sleep repay the sleep debt? Balancing short-term relief with long-term risks. Sleep and Breathing 2025;29(6) View
  6. Quezada Reyes R, Trejo L. Personalized Machine Learning Intervention to Improve Sleep Quality Using Wearable Technology in Healthy Middle-Aged Adults From Mexico City: Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols 2026;15:e76415 View
  7. Lv X, Xue Y. An Evidence-Based Tiered Intervention Strategy for Student Physical Health: Design and Implementation. Applied Sciences 2026;16(6):2988 View
  8. Arunachalam D, Andrew D, Gayathri K, Shahina A. Sleep behavioural stability assessment via deep learning–based pressure map posture recognition and respiratory pattern analysis. Engineering Research Express 2026;8(6):065235 View
  9. Wallner J, Berbuir S, Birner L, Dendorfer A, Panthi B, Rahnsch B, Muma J, Munga S, Obor D, Bärnighausen T, Barteit S. Overcoming Data Loss in Wearable Disease Detection with GAN-Based Imputation. npj Digital Medicine 2026;9(1) View
  10. Kim M, Yun S, Kim H, Matsushita E, Yeom J, Kim S, Pack S, Lee H, Cheong T, Cho C. Heart rate circadian phase and hyperarousal as wearable digital phenotyping of insomnia: An interpretable machine learning study. DIGITAL HEALTH 2026;12 View
  11. Liang Z. Within-person modeling of postprandial glucose using multimodal wearable data. Frontiers in Digital Health 2026;8 View
  12. Meegahapola L, Creswell D, Quercia D. Wellness Watch or Worry Watch? Negative Psychological Impacts of Wearable Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2026;10(2):1 View
  13. Selçuk E, Çakmak G, Usal M. ADVANCED TECHNOLOGIES IN WEARABLE FOR SLEEP APNEA DIAGNOSIS: A REVIEW. Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi 2026;10(1):133 View
  14. Debellotte O, Shetty A, Wang Y, Amin A, Mann V, Fadayomi M, Gudipati P, Hanna H, Karippaparambil L, Rai M. Suicide and Sleep Disorders: The Role of Insomnia, Nightmares, and Circadian Disruption. Cureus 2026 View
  15. Stephens T, Wang Y, Guo J, Wang J. Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension. Sleep and Breathing 2026;30(4) View
  16. Ruan J, Qi X, Su J, Mao W, Ko E, Wu B. Sleep Interventions for Informal Caregivers of People with Mild Cognitive Impairment or Dementia: A Systematic Review and Meta-Analysis. Clinical Gerontologist 2026:1 View
  17. Iaccarino K, Ongaro F, Di Palma L, Fouladi S, Castiglioni I, Alì M. AI for Primary Prevention and Longevity: From Reactive to Proactive Healthcare Model. Applied Sciences 2026;16(15):7375 View
  18. Dai D, Xie F, Cui J, Wang S, Cai J, Yao F, Wang G. Human-Centered AI in Sleep Health Management: Scoping Review of Stakeholder Perspectives and Co-Design Practices. Journal of Medical Internet Research 2026;28:e93779 View
  19. Ali E, Karmakar C, Daneshkhah A, Ellis J, Angelova M. Effectiveness of sleep stage transition probability features to detect sleep disorders from single-night hypnogram. Interface Focus 2026;16(3) View
  20. Wang Z, Tan Z, Zhang Y, Li Y, Lin J, Xu Y, Li Y, Chen T. Exercise-induced neuropeptidergic and neurochemical neuroadaptation in stress regulation and emotional disorders. Acta Neurologica Belgica 2026 View
  21. Çekirge Ö. Artificial Intelligence for Sleep Bruxism Detection: A Technical Pipeline Synthesis. Diagnostics 2026;16(17):2865 View

Books/Policy Documents

  1. Jenks C. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats, Volume 4 [Working Title]. View
  2. Rath S, Prier J, Patel K, Patel N. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine. View

Conference Proceedings

  1. Laha A, Banerjee R, Saha R, Pramanick S, Das S, Karmakar K. 2026 International Conference on Computing, Electronics & Communications Engineering (ICCECE). Sleep Pattern Analysis for Elderly Using Wearables View
  2. Guagnano M, Groppo S, Romigi A, Violante M. 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC). A Deterministic PPG-Based Algorithm for Obstructive Sleep Apnea Detection View
  3. Bui Q, Tran Q, Tran Q, Nguyen T, Nguyen L, Luong C, Nguyen V. 2026 Eleventh International Conference on Communications and Electronics (ICCE). A Systematic Comparison of Dimensionality Reduction for Multi-Class Sleep Disorder Classification View