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

Wearable Devices and Sensors (811) Sleep Monitoring, Sleep Quality, Sleep Disorders (167) mHealth for Data Collection and Research (907) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) Mobile Health (mhealth) (2748)

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 (3) Tweetations (3) Metrics

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  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 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