St.Petersburg, St. Petersburg, Russian Federation
The purpose of the study is to justify the potential use of sleep trackers for monitoring, analyzing, and individually adjusting the sleep of athletes. Research methods and organization. The smartphone application Sleep Cycle, the Polar Vantage V sports watch, clinical polysomnography, and methods of mathematical statistics were used. Research results and conclusions. During the experiments and the analysis of the obtained data, a significant correlation was found between the values of time spent in bed, total sleep time, and sleep efficiency of the participants, as recorded simultaneously by the aforementioned methods. In the experiments, Polar Vantage V sports watches also reliably recorded the total duration of brief awakenings. The results obtained allow us to conclude that a new, hardware-based, non-invasive method for recording and analyzing representative sleep characteristics of athletes has emerged in the methodological toolkit of sports somnology.
sports medicine, somnological parameters, polysomnography, sleep trackers
1. Birbaumer N., Shmidt R. F. (2021), “Sleep-wake rhythm and attention”, Human physiology with the basics of pathophysiology, Moscow, BINOM. Laboratoria znanii, pp. 219–240.
2. Rendell D. (2014), “Sleep Science”, Moscow, Mann, Ivanov and Farber, 304 p., ISBN 978-5-00057-189-7.
3. Kovalson V. M. (2012), “Basics of Somnology”, Moscow, BINOM. Laboratoria znanii, 242 p., ISBN 978-5-99632-354-8.
4. Kushida C. F., Littner M. R., Morgenthaler T. [et al.] (2005), “Practice Parameters for the Indications for Polysomnography and Related Procedures: An Update for 2005”, Sleep, V. 28, No 4, pp. 499–521, DOIhttps://doi.org/10.1093/sleep/28.4.499.
5. Khalladi K., Farooq A., Sas B. [et al.] (2021), “Sleep and psychological factors are associated with meeting discharge criteria to return to sport following ACL reconstruction in athletes”, Biology of Sport, V. 38 (3), pp. 305–313, https://doi.org/10.5114/biolsport.2021.99704.
6. Gilgen-Ammann R., Schweizer T., Wyss T. (2019), “Accuracy of the Multisensory Wristwatch Polar Vantage’s Estimation of Energy Expenditure in Various Activities: Instrument Validation Study”, JMIR Mhealth and Uhealth, V. 7 (10), pp. 1–9, DOIhttps://doi.org/10.2196/14534.
7. Bhat S., Ferrari A., Gupta D. [et al.] (2015), “Is There a Clinical Role For Smartphone Sleep Apps? Comparison of Sleep Cycle Detection by a Smartphone Application to Polysomnography”, Journal of Clinical Sleep Medicine, V. 11 (7), pp. 709–715, http://dx.doi.org/10.5664/jcsm.4840.
8. Fino E., Mazetti M. (2019), “Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence”, J. Sleep Breath, March 23 (1), pp. 13–24, DOIhttps://doi.org/10.1007/s11325-018-1661-3.
9. Shiao Y., Yu C., Yeh Y. (2024), “Validation of Dounloadable Mobile Snore Applications by Polysomnography (PSG)”, Nature and Science of Sleep, V. 16, pp. 489–501, https://doi.org/10.2147/NSS.S433351.
10. Miller D., Sargent C., Roach G. (2022), “A Validation of Six Wearable Devices for Estimating Sleep, Heart Rate and Heart Rate Variability in Healthy Adults”, Sensor, V. 22, 6317, pp. 1–17, https://doi.org/10.3390/s22166317.




