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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65272, first published .
Wearable Artificial Intelligence for Sleep Disorders: Scoping Review

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review

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