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

Wearable Devices and Sensors (996) Sleep Monitoring, Sleep Quality, Sleep Disorders (227) mHealth for Data Collection and Research (1082) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1572) Mobile Health (mhealth) (3158)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50983, first published .
Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Accuracy of 11 Wearable, Nearable, and Airable Consumer Sleep Trackers: Prospective Multicenter Validation Study

Authors of this article:

Taeyoung Lee1 Author Orcid Image ;   Younghoon Cho1, 2 Author Orcid Image ;   Kwang Su Cha1 Author Orcid Image ;   Jinhwan Jung1 Author Orcid Image ;   Jungim Cho1 Author Orcid Image ;   Hyunggug Kim1 Author Orcid Image ;   Daewoo Kim1 Author Orcid Image ;   Joonki Hong1 Author Orcid Image ;   Dongheon Lee1 Author Orcid Image ;   Moonsik Keum2 Author Orcid Image ;   Clete A Kushida3 Author Orcid Image ;   In-Young Yoon4 Author Orcid Image ;   Jeong-Whun Kim5 Author Orcid Image
Article Authors Cited by (26) Tweetations (4) Metrics

Journals

  1. Manners J, Kemps E, Guyett A, Stuart N, Lechat B, Catcheside P, Scott H. Estimating vigilance from the pre‐work shift sleep using an under‐mattress sleep sensor. Journal of Sleep Research 2024;33(5) View
  2. Liang Z, Melcer E, Khotchasing K, Hoang N. Co-design personal sleep health technology for and with university students. Frontiers in Digital Health 2024;6 View
  3. Bailly S, Mendelson M, Baillieul S, Tamisier R, Pépin J. The Future of Telemedicine for Obstructive Sleep Apnea Treatment: A Narrative Review. Journal of Clinical Medicine 2024;13(9):2700 View
  4. Irish L, Bottera A, Manasse S, Christensen Pacella K, Schaefer L. The Integration of Sleep Research Into Eating Disorders Research: Recommendations and Best Practices. International Journal of Eating Disorders 2024;57(9):1816 View
  5. Sjöland O, Svensson T, Madhawa K, NT H, Chung U, Svensson A. Associations of Subjective Sleep Quality with Wearable Device-Derived Resting Heart Rate During REM Sleep and Non-REM Sleep in a Cohort of Japanese Office Workers. Nature and Science of Sleep 2024;Volume 16:867 View
  6. 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
  7. Mirsepah A, Shooshtari L, Mohammadpour R, Esfandiar A, Irajizad A. Wearable broadband MoS2 photodetector for dual heart rate and UV detection powered by PDMS-MXene TENG. Chemical Engineering Journal 2024;499:155953 View
  8. Markov K, Elgendi M, Menon C. EEG-based headset sleep wearable devices. npj Biosensing 2024;1(1) View
  9. Nobue A, Sano K, Ishikawa M. Magnetic Garments Promote Parasympathetic Dominance and Improve Sleep Quality in Male Long-Distance Runners Following a 30 km Run. Sensors 2024;24(21):6820 View
  10. Fiore M, Bianconi A, Sicari G, Conni A, Lenzi J, Tomaiuolo G, Zito F, Golinelli D, Sanmarchi F. The Use of Smart Rings in Health Monitoring—A Meta-Analysis. Applied Sciences 2024;14(23):10778 View
  11. Ji K, Yun C. Emerging Technologies to Track and Improve Sleep Health. Sleep Medicine Clinics 2025;20(1):47 View
  12. Ohn M, Maddison K, Walsh J, von Ungern-Sternberg B. The future of paediatric obstructive sleep apnoea assessment: Integrating artificial intelligence, biomarkers, and more. Paediatric Respiratory Reviews 2025 View
  13. Li L, Hu Y, Yang Z, Luo Z, Wang J, Wang W, Liu X, Wang Y, Fan Y, Yu P, Zhang Z. Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data. BMC Medical Informatics and Decision Making 2025;25(1) View
  14. Xiang A, Hu J, Ladha K. The utility of wearable devices in the perioperative period. Current Opinion in Anaesthesiology 2025;38(2):143 View
  15. Mendez C, Kaykayoglu C, Bähler T, Künzler J, Lizoain A, Rothenbühler M, Schmidt M, Laimer M, Witthauer L. Toward Detection of Nocturnal Hypoglycemia in People With Diabetes Using Consumer-Grade Smartwatches and a Machine Learning Approach. Journal of Diabetes Science and Technology 2025 View
  16. Manners J, Kemps E, Lechat B, Catcheside P, Eckert D, Scott H. Performance evaluation of an under‐mattress sleep sensor versus polysomnography in > 400 nights with healthy and unhealthy sleep. Journal of Sleep Research 2025 View
  17. Lim D, Choi S, Song Y, Park H, Joo E, Kim J. Enhanced Circadian Phase Tracking: A 5-h DLMO Sampling Protocol Using Wearable Data. Journal of Biological Rhythms 2025;40(3):249 View
  18. Caputo M. Sleep Duration and All-Cause Mortality. Journal of Insurance Medicine 2025;52(1):6 View
  19. Nam J, Ahn S. Effects of a Multimodal Intervention on Sleep Quality and Duration in Intensive Care Unit Patients. Journal of Korean Critical Care Nursing 2025;18(1):70 View
  20. 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
  21. Guagnano M, Groppo S, Pugliese L, Violante M. On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input. Sensors 2025;25(7):2141 View
  22. Baizer L, Bures R, Nadkarni G, Reyes-Guzman C, Ladwa S, Cade B, Westover M, Durmer J, de Zambotti M, Desai M, Parekh A, Si B, Fernandez-Mendoza J, Minor K, Mazzotti D, Lee S, Katabi D, Kiss O, Spira A, Morris J, Seixas A, Kioumourtzoglou M, Bridges J, Brown M, Hale L, Purcell S. Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary. SLEEP 2025 View
  23. Kim J, Kim S, Cho E, Kyung H, Park S, Hong J, Lee D, Oh J, Yoon I. Evaluation of sound-based sleep stage prediction in shared sleeping settings. Sleep Medicine 2025;132:106533 View
  24. Kishi T, Galduróz J, Tufik S, Pires G. Sleep variables to predict mood in bipolar disorder – A comment on Ulrichsen et al.. Journal of Affective Disorders 2025;383:51 View
  25. 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
  26. Scott H, Lechat B, Sansom K, Pinilla L, Manners J, Phillips A, Nguyen D, Bailly S, Pepin J, Escourrou P, Naik G, Catcheside P, Eckert D. Variations in sleep duration and timing: weekday and seasonal variations in sleep are common in an analysis of 73 million nights from an objective sleep tracker. SLEEP 2025 View