- PII
- S3034615025020098-1
- DOI
- 10.7868/S3034615025020098
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 51 / Issue number 2
- Pages
- 131-136
- Abstract
- Synchronous registration of sleep parameters in practically healthy young womens was carried out using polysomnography and by recording the rhythmocardiographic activity of the sleeping body using a Polar Vantage V sports watch. The data obtained were compared in pairs, using the Spearman rank correlation method and by epoch-by-epoch comparison of sleep phase coincidence indicators. A high degree of correspondence was revealed with the total duration of sleep, time spent in bed, sleep efficiency values and the total duration of short-term awakenings recorded by the two above-mentioned methods. The mode of epoch-by-epoch comparison of the periods of coincidence of the Rem phases, as well as the N2 and N3 phases during polysomnographic and rhythmocardiographic registration, brought results not exceeding 60%.
- Keywords
- сомнологические параметры спортивные часы Polar Vantage V полисомнография
- Date of publication
- 01.04.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 45
References
- 1. Вейн А.М. Бодрствование и сон. М.: Наука, 1970. 125 с.
- 2. Stone J.D., Rentz L.E., Forsley J. et al. Evaluations of commercial sleep tehnologies for objective monitoring during routine sleeping conditions // Nat. Sci. Sleep. 2020. V. 12. P. 821.
- 3. Карманова И.Г., Оганесян Г.А. Физиология и патология цикла бодрствование-сон. Эволюционные аспекты. М.: Наука, 1994. 200 с.
- 4. Ковальзон В.М. Основы сомнологии. М.: «Лаборатория знаний», 2012. 239 с.
- 5. Вётош А.Н., Петров А.Б., Котова А.С., Тихомирова О.В. Возможности и ограничения по использованию приложения к смартфону Sleep Cycle для анализа сна в спортивной практике // Физиология человека. 2023. Т. 49. № 6. С. 92.
- 6. Ameen M.S., Cheung L.M., Hauser T. et al. About the accuracy and problems of consumer devices in the assessment of sleep // Sensors. 2019. V. 19. № 19. P. 4160.
- 7. Chinoy E.D., Cuellar J.A., Jameson J.T., Markwald R.R. Performance of four commercial wearable sleep-tracking devices tested under unrestricted conditions at home in healthy young adults // Nat. Sci. Sleep. 2022. V. 14. P. 493.
- 8. Miller D.J., Sargent C., Roach G.D. A validation of six wearable devices for estimating sleep, heart rate and heart rate variability in healthy adults // Sensors. 2022. V. 22. № 16. P. 6317.
- 9. Kushida C.F., Littner M.R., Morgenthaler T. et al. Practice parameters for the indications for polysomnography and related procedures: An update for 2005 // Sleep. 2005. V. 28. № 4. P. 499.
- 10. Lee J.-M., Byun W., Keill A. et al. Comparison of wearable trackers’ ability to estimate sleep // Int. J. Envir. Res. Public Health. 2018. V. 15. № 6. P. 1265.
- 11. Chinoy E.D., Cuellar J.A., Jameson J.T., Markwald R.R. Daytime sleep-tracking performance of four commercial wearable devices during unrestricted home sleep // Nat. Sci. Sleep. 2023. V. 15. P. 151.
- 12. Radha M., Fonseca P., Moreau A. et al. Sleep stage classification from heart-rate variability using long short-term memory neural networks // Sci. Rep. 2019. V. 9. № 1. P. 14149.
- 13. Li D., Ruan Y., Zheng F. et al. Fast sleep stage classification using cascaded support vector machines with single-channel EEG signals // Sensors. 2022. V. 22. № 24. P. 9914.
