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

Wearables and MHealth Reviews (308) Wearable Devices and Sensors (1118) Sleep Monitoring, Sleep Quality, Sleep Disorders (261) Fitness Trackers and Smart Pedometers/Accelerometers (658) Wearable Devices and Sensors (1118) mHealth for Data Collection and Research (1187) mHealth for Data Collection and Research (1187) Fitness Trackers and Smart Pedometers/Accelerometers (658) Sleep Monitoring, Sleep Quality, Sleep Disorders (261)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52192, first published .
Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review

Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review

Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review

Authors of this article:

An-Marie Schyvens1, 2 Author Orcid Image ;   Nina Catharina Van Oost3 Author Orcid Image ;   Jean-Marie Aerts3 Author Orcid Image ;   Federica Masci3 Author Orcid Image ;   Brent Peters4 Author Orcid Image ;   An Neven4 Author Orcid Image ;   Hélène Dirix4 Author Orcid Image ;   Geert Wets4 Author Orcid Image ;   Veerle Ross4, 5 Author Orcid Image ;   Johan Verbraecken1, 2 Author Orcid Image
Article Authors Cited by (38) Tweetations (18) Metrics

Journals

  1. Doherty C, Baldwin M, Keogh A, Caulfield B, Argent R. Keeping Pace with Wearables: A Living Umbrella Review of Systematic Reviews Evaluating the Accuracy of Consumer Wearable Technologies in Health Measurement. Sports Medicine 2024;54(11):2907 View
  2. Zhao X, He Y, Zhang J, Lin S, Zou H, Ma Y. Effects of Insufficient Sleep on Myopia in Children: A Systematic Review and Meta-Analysis. Nature and Science of Sleep 2024;Volume 16:1387 View
  3. Uchida T, Kurosawa T. Objective and Subjective Sleep Characteristics of Japanese University Students: Analysis Using Questionnaires and Wearable Trackers. Japanese Psychological Research 2025;67(2):162 View
  4. Harai N, Okuma H, Tsuchiya K, Matsuoka S, Kashiwagi K. Increased Steps in Japanese Older Adults Associated with Improved Winter Sleep Quality. Gerontology and Geriatric Medicine 2024;10 View
  5. Kovrov G, Posokhov S, Chernikova A, Funtova I, Shishkina A, Khivintseva E, Zakharov A, Shirolapov I. Validation of ballistocardiography data for predicting the sleep efficiency in healthy individuals and patients with insomnia. S.S. Korsakov Journal of Neurology and Psychiatry 2024;124(10):60 View
  6. Saeb S, Nelson B, Barman P, Verma N, Allen H, de Zambotti M, Baker F, Arra N, Sridhar N, Sullivan S, Plowman S, Rainaldi E, Kapur R, Shin S. Performance of the Verily Study Watch for measuring sleep compared to polysomnography. Frontiers in Sleep 2024;3 View
  7. Novacic K, Pischke C, von Gall C. Body mass index is associated with subjective workload and REM sleep timing in young healthy adults. Open Health 2025;6(1) View
  8. Hickman R, Lai Jie D, Shergill S, Laborde S, D’Oliveira T. Validation of the Caen Chronotype Questionnaire: Exploring the added value of amplitude and correlations with actigraphy. Chronobiology International 2025;42(3):378 View
  9. Scott H, Green M, Jones K, Loffler K, Lovato N, Toson B, Bensen-Boakes D, Perlis M, Drummond S, Kaambwa B, Lack L. Comparing the efficacy of technology-enabled treatments for insomnia: study protocol for a randomized controlled trial. Sleep Advances 2025;6(1) View
  10. Holmqvist S, Kaplan M, Chaturvedi R, Shou H, Giovannetti T. Longitudinal and Combined Smartwatch and Ecological Momentary Assessment in Racially Diverse Older Adults: Feasibility, Adherence, and Acceptability Study. JMIR Human Factors 2025;12:e69952 View
  11. Joensen E, Frederiksen L, Frederiksen S, Valeur E, Giordano R, Hertel E, Petersen K. Sex and Sleep Quality Effects on the Relationship Between Sleep Disruption and Pain Sensitivity. European Journal of Pain 2025;29(5) View
  12. Nelson B, Saeb S, Barman P, Verma N, Allen H, de Zambotti M, Baker F, Arra N, Sridhar N, Sullivan S, Plowman S, Rainaldi E, Kapur R, Shin S. Performance Evaluation of the Verily Numetric Watch Sleep Suite for Digital Sleep Assessment Against In‐Lab Polysomnography. Journal of Sleep Research 2025;34(5) View
  13. 苏占国 , 苏倚平 . 运动-睡眠-学业协同发展的理论模型构建与作用机制研究. 教育学刊 2025 View
  14. Schyvens A, Peters B, Van Oost N, Aerts J, Masci F, Neven A, Dirix H, Wets G, Ross V, Verbraecken J. A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography. Sleep Advances 2025;6(2) View
  15. Lou T, Chen Q, Tian M. Comparative efficacy of non-pharmacological interventions on kinesiophobia in patients with chronic non-specific low back pain: a study protocol for a systematic review and network meta-analysis. BMJ Open 2025;15(4):e096099 View
  16. Liu N, Ma Q, Zhou M, Yang L, Wang W, Wang Y. Efficacy and exploratory analysis of potential mechanisms of stellate ganglion block in alleviating sleep disturbance in generalized anxiety disorder: a randomized controlled trial excluding comorbid depression. Frontiers in Neurology 2025;16 View
  17. Pham H, Svensson T, Chung U, Svensson A. Bidirectional association between physical activity and sleep in healthy Japanese super-seniors: the Japan Healthy Aging Study (J-HAS). npj Aging 2025;11(1) View
  18. AlKhenaizi A, Shakeeb F, Fredericks S, Gaynor D. Physical activity levels, recreational screen time, sleep quality and mood among young adult healthcare students at an international university in Bahrain: a cross-sectional study. BMJ Open 2025;15(5):e093655 View
  19. Fitton J, Lechat B, Reynolds A, Toson B, Manners J, Nguyen P, Loffler K, Altree T, Catcheside P, Eckert D. An investigation into sleep, perceived experiences, and exercise performance in elite male cyclists during the Tour de France. Physiological Reports 2025;13(10) View
  20. Zhong C, Landry M, Whalen S, Grant A, G. Reddy A, M. Donzella S, R. Peoples A, V. Patel A, Rees-Punia E. Effects of a physical activity intervention on sleep among cancer survivors in a randomized controlled trial within the Cancer Prevention Study-3 cohort. Journal of Cancer Survivorship 2025 View
  21. Lin X, Zhang G, Cao S, Wang S, Wang F, Xu M. A bibliometric analysis of wearable device research in sleep science: Trends and hotspots. Medicine 2025;104(24):e42853 View
  22. Leota J, Czeisler M, Le F, Presby D, Capodilupo E, Scott H, Wiley J, Drummond S, Rajaratnam S, Facer-Childs E. Sleep duration and timing are associated with next-day physical activity: Insights from two large-scale wearable sensor studies. Proceedings of the National Academy of Sciences 2025;122(27) View
  23. Yang J, Xu D, Lu H, Yin X, Song H, Zong W, Xu D, Lu X, Wei L, Zhu H, Zhai S, Gu Z. Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study. Nature and Science of Sleep 2025;Volume 17:1757 View
  24. Lawson M, Lancaster K, Lipps C, Slobogean G, Brady J, O’Hara N, Working Z. Home Call and Sleep in Orthopaedic Surgeons. Journal of Bone and Joint Surgery 2025;107(20):2235 View
  25. Hu C, Delaney C, Chavarro J, Laden F, Librett R, Katuska L, Kaplan E, Yi L, Rueschman M, Kossowsky J, Onnela J, Coull B, Redline S, James P, Hart J. Quantification of Differences in Sleep Measurement by a Wrist-Worn Consumer Wearable Compared to Research-Grade Accelerometry and Sleep Diaries of Female Adults in Free-Living Conditions. Nature and Science of Sleep 2025;Volume 17:1973 View
  26. Banjade P, Sharma M, Surani S. Transforming sleep medicine: the evolving role of artificial intelligence. Current Opinion in Pulmonary Medicine 2025;31(6):571 View
  27. Švihrová R, Marzorati D, Bechný M, Grossenbacher M, Ilchenko Y, Grossenbacher J, Tzovara A, Faraci F. Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study. Frontiers in Digital Health 2025;7 View
  28. Chan Z, Ferber R, Cheung R. Speed and cadence adaptations during overground sloped running under real-world conditions. Sport Sciences for Health 2025 View
  29. Jamieson A, Chico T, Jones S, Chaturvedi N, Hughes A, Orini M. A guide to consumer-grade wearables in cardiovascular clinical care and population health for non-experts. npj Cardiovascular Health 2025;2(1) View
  30. Glime A, Mahmoud T, Rusagara S, St Charles A, Lekshmi D, Peterson A, Sathyanarayana A. Quantifying Maternal Health Using Digital Phenotyping: Protocol for a Longitudinal Observational Study. JMIR Research Protocols 2025;14:e77175 View
  31. Wu C, Hsieh M, Chen I, Jhao L, Liu D, Wang S, Wu C, Chien Y. Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study. JMIR Medical Informatics 2025;13:e66277 View
  32. Hanuka S, Tamari N, Eldar E, Loggia M, Horesh D, Admon R. Predicting daily pain fluctuations in fibromyalgia: The role of mental distress and sleep heart-rate. The Journal of Pain 2025;37:105572 View
  33. Qu Z, Sun X, Zhang X, Yin J, Zhang X, Zhao H, Zhang H. The effects of sensory stimulation therapy in patients with sleep disorders: a scoping review. Frontiers in Neuroscience 2025;19 View
  34. Stevenson S, Suppiah H, Mündel T, Driller M. Under the Covers: The Effect of a Temperature-Controlled Mattress Cover on Sleep and Perceptual Measures in Healthy Adults. Clocks & Sleep 2025;7(4):55 View
  35. Leger D, Mutti C, Rouen A, Parrino L. Polysomnography in Transition: Reassessing Its Role in the Future of Sleep Medicine. Journal of Sleep Research 2025 View
  36. Fan L, Sun W, Chen B, Zhang S, Zhang S, Yang X, Li Y, Zheng W. Easy blood oxygen accumulation distribution area index (EBOADAI) integrating apneic events and hypoxemic burden: association with testosterone deficiency and sexual health in adult males. The Aging Male 2025;28(1) View
  37. Zahed K, Hallak Y, Azad K, Haidar J, Ghomrawi H. Utility of wearable technology in predicting panic attacks: A scoping review. DIGITAL HEALTH 2025;11 View

Books/Policy Documents

  1. Tamantini C, Umbrico A, Orlandini A. AIxIA 2024 – Advances in Artificial Intelligence. View