Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26476, first published .
Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Validation of Fitbit Charge 2 Sleep and Heart Rate Estimates Against Polysomnographic Measures in Shift Workers: Naturalistic Study

Journals

  1. Fonseka L, Woo B. Wearables in Schizophrenia: Update on Current and Future Clinical Applications. JMIR mHealth and uHealth 2022;10(4):e35600 View
  2. Lim J, Yun J, Choi S, Park S, Suk H, Jang J. Greater variability in daily sleep efficiency predicts depression and anxiety in young adults: Estimation of depression severity using the two-week sleep quality records of wearable devices. Frontiers in Psychiatry 2022;13 View
  3. Grandner M, Bromberg Z, Hadley A, Morrell Z, Graf A, Hutchison S, Freckleton D. Performance of a multisensor smart ring to evaluate sleep: in-lab and home-based evaluation of generalized and personalized algorithms. Sleep 2023;46(1) View
  4. Takano A, Ono K, Nozawa K, Sato M, Onuki M, Sese J, Yumoto Y, Matsushita S, Matsumoto T. Wearable Sensor and Mobile App–Based mHealth Approach for Investigating Substance Use and Related Factors in Daily Life: Protocol for an Ecological Momentary Assessment Study. JMIR Research Protocols 2023;12:e44275 View
  5. Siddi S, Bailon R, Giné-Vázquez I, Matcham F, Lamers F, Kontaxis S, Laporta E, Garcia E, Lombardini F, Annas P, Hotopf M, Penninx B, Ivan A, White K, Difrancesco S, Locatelli P, Aguiló J, Peñarrubia-Maria M, Narayan V, Folarin A, Leightley D, Cummins N, Vairavan S, Ranjan Y, Rintala A, de Girolamo G, Simblett S, Wykes T, Myin-Germeys I, Dobson R, Haro J. The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity. Psychological Medicine 2023;53(8):3249 View
  6. Windrix C, Vandyck K, Tanaka K, Butt A. Night Float Rotations: Continued Questions With Few Answers. Anesthesia & Analgesia 2023;136(6):e41 View
  7. Woelfle T, Pless S, Reyes Ó, Wiencierz A, Kappos L, Granziera C, Lorscheider J. Smartwatch-derived sleep and heart rate measures complement step counts in explaining established metrics of MS severity. Multiple Sclerosis and Related Disorders 2023;80:105104 View
  8. Eylon G, Tikotzky L, Dinstein I. Performance evaluation of Fitbit Charge 3 and actigraphy vs. polysomnography: Sensitivity, specificity, and reliability across participants and nights. Sleep Health 2023;9(4):407 View
  9. Arnoriaga-Rodríguez M, Leal Y, Mayneris-Perxachs J, Pérez-Brocal V, Moya A, Ricart W, Fernández-Balsells M, Fernández-Real J. Gut Microbiota Composition and Functionality Are Associated With REM Sleep Duration and Continuous Glucose Levels. The Journal of Clinical Endocrinology & Metabolism 2023;108(11):2931 View
  10. Jang H, Lee S, Son Y, Seo S, Baek Y, Mun S, Kim H, Kim I, Kim J. Exploring Variations in Sleep Perception: Comparative Study of Chatbot Sleep Logs and Fitbit Sleep Data. JMIR mHealth and uHealth 2023;11:e49144 View
  11. Stirling R, Hidajat C, Grayden D, D’Souza W, Naim-Feil J, Dell K, Schneider L, Nurse E, Freestone D, Cook M, Karoly P. Sleep and seizure risk in epilepsy: bed and wake times are more important than sleep duration. Brain 2023;146(7):2803 View
  12. Liu G, Zhang Y, Zhang W, Wu X, Jiang H, Zhang X. Validation of the relationship between rapid eye movement sleep and sleep‐related erections in healthy adults by a feasible instrument Fitbit Charge2. Andrology 2024;12(2):365 View
  13. McMahon M, McConley I, Hashim C, Schnyer D. Fitbit validation for rest-activity rhythm assessment in young and older adults. Smart Health 2023;29:100418 View
  14. Zhang Y, Zhang W, Feng X, Liu G, Wu X, Jiang H, Zhang X. Association between sleep quality and nocturnal erection monitor by RigiScan in erectile dysfunction patients: a prospective study using fitbit charge 2. Basic and Clinical Andrology 2023;33(1) View
  15. Ong J, Golkashani H, Ghorbani S, Wong K, Chee N, Willoughby A, Chee M. Selecting a sleep tracker from EEG-based, iteratively improved, low-cost multisensor, and actigraphy-only devices. Sleep Health 2023 View
  16. Svensson T, Madhawa K, NT H, Chung U, Svensson A. Validity and reliability of the Oura Ring Generation 3 (Gen3) with Oura sleep staging algorithm 2.0 (OSSA 2.0) when compared to multi-night ambulatory polysomnography: A validation study of 96 participants and 421,045 epochs. Sleep Medicine 2024;115:251 View
  17. Dorais S. Time series analysis in preventive intervention research: A step‐by‐step guide. Journal of Counseling & Development 2024 View
  18. de Zambotti M, Goldstein C, Cook J, Menghini L, Altini M, Cheng P, Robillard R. State of the science and recommendations for using wearable technology in sleep and circadian research. SLEEP 2023 View