A validation study of the WHOOP strap against polysomnography to assess sleep

被引:47
|
作者
Miller, Dean J. [1 ]
Lastella, Michele [1 ]
Scanlan, Aaron T. [2 ]
Bellenger, Clint [3 ,4 ]
Halson, Shona L. [5 ]
Roach, Gregory D. [1 ]
Sargent, Charli [1 ]
机构
[1] Cent Queensland Univ, Appleton Inst Behav Sci, Adelaide, SA, Australia
[2] Cent Queensland Univ, Human Exercise & Training Lab, Rockhampton, Qld, Australia
[3] Univ South Australia, Sansom Inst Hlth Res, Alliance Res Exercise Nutr & Act ARENA, Adelaide, SA, Australia
[4] South Australian Sports Inst, Adelaide, SA, Australia
[5] Australian Catholic Univ, Sch Behav & Hlth Sci, Banyo, Australia
基金
澳大利亚研究理事会;
关键词
Wearable sleep monitor; consumer sleep technology; sleep quality; sleep quantity; sleep staging; ACTIGRAPHY; AGREEMENT; PERFORMANCE; ALTITUDE;
D O I
10.1080/02640414.2020.1797448
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
The aim of the study was to compare the WHOOP strap - a wearable device that estimates sleep based on measures of movement and heart rate derived from actigraphy and photoplethysmography, respectively. Twelve healthy adults (6 females, 6 males, aged 22.9 +/- 3.4 years) participated in a 10-day, laboratory-based protocol. A total of 86 sleeps were independently assessed in 30-s epochs using polysomnography and WHOOP. For WHOOP, bed times were entered by researchers and sleeps were scored by the company based on proprietary algorithms. WHOOP overestimated total sleep time by 8.2 +/- 32.9 minutes compared to polysomnography, but this difference was non-significant. WHOOP was compared to polysomnography for 2-stage (i.e., wake, sleep) and 4-stage categorisation (i.e., wake, light sleep [N1 or N2], slow-wave sleep [N3], REM) of sleep periods. For 2-stage categorisation, the agreement, sensitivity to sleep, specificity for wake, and Cohen's kappa were 89%, 95%, 51%, and 0.49, respectively. For 4-stage categorisation, the agreement, sensitivity to light sleep, SWS, REM, and wake, and Cohen's kappa were 64%, 62%, 68%, 70%, 51%, and 0.47, respectively. In situations where polysomnography is impractical (e.g., field settings), WHOOP is a reasonable method for estimating sleep, particularly for 2-stage categorisation, if accurate bedtimes are manually entered.
引用
收藏
页码:2631 / 2636
页数:6
相关论文
共 50 条
  • [1] A validation study of a ballistocardiograph sleep tracker against polysomnography
    Kholghi, Mahnoosh
    Szollosi, Irene
    Hollamby, Mitchell
    Bradford, DanaKai
    Zhang, Qing
    JOURNAL OF CLINICAL SLEEP MEDICINE, 2022, 18 (04): : 1203 - 1210
  • [2] Validation of a novel sleep-quality questionnaire to assess sleep in the coronary care unit: a polysomnography study
    Storti, Luciana J.
    Servantes, Denise M.
    Borges, Melania
    Bittencourt, Lia
    Maroja, Fabrizio U.
    Poyares, Dalva
    Burke, Patrick R.
    Santos, Vinicius B.
    Moreira, Rita S. L.
    Mancuso, Frederico J. N.
    de Paola, Angelo A. V.
    Tufik, Sergio
    Carvalho, Antonio C. C.
    Cintra, Fatima D.
    SLEEP MEDICINE, 2015, 16 (08) : 971 - 975
  • [3] Development of a sleep quality questionnaire to assess sleep in the ICU: a polysomnography study
    LJ Storti
    DM Servantes
    MA Borges
    FU Maroja
    PR Burke
    LR Bittencourt
    ACC Carvalho
    S Tufik
    AAV de Paola
    FD Cintra
    Critical Care, 17 (Suppl 3):
  • [4] A validation study of an esophageal probe–based polygraph against polysomnography in obstructive sleep apnea
    Thorarinn Arnar Olafsson
    Eivind Andreas Steinsvik
    Gregor Bachmann-Harildstad
    Harald Hrubos-Strøm
    Sleep and Breathing, 2022, 26 : 575 - 584
  • [5] A validation study of an esophageal probe-based polygraph against polysomnography in obstructive sleep apnea
    Olafsson, Thorarinn Arnar
    Steinsvik, Eivind Andreas
    Bachmann-Harildstad, Gregor
    Hrubos-Strom, Harald
    SLEEP AND BREATHING, 2022, 26 (02) : 575 - 584
  • [6] A validation study of three wearable sleep monitors against polysomnography in assessing sleep quality in healthy nurses in a tertiary hospital
    Lee, C. P.
    Lim, K. H. C.
    Tan, E.
    Chang, R.
    Koh, S.
    Abisheganaden, J.
    JOURNAL OF SLEEP RESEARCH, 2016, 25 : 156 - 156
  • [7] Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study
    Concheiro-Moscoso, Patricia
    Groba, Betania
    Alvarez-Estevez, Diego
    del Carmen Miranda-Duro, Maria
    Pousada, Thais
    Nieto-Riveiro, Laura
    Mejuto-Muino, Francisco Javier
    Pereira, Javier
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [8] Validation of a wearable forehead sleep recorder against polysomnography in sleep staging and desaturation events in a clinical sample
    Chen, Xinru
    Jin, Xinyi
    Zhang, Jihui
    Ho, Kwok Wah
    Wei, Yongli
    Cheng, Hanrong
    JOURNAL OF CLINICAL SLEEP MEDICINE, 2023, 19 (04): : 711 - 718
  • [9] Pilot Validation of Watch-PAT- Homebased Sleep Study Against In Sleep Laboratory Polysomnography in Amyotrophic Lateral Sclerosis (ALS) Subjects
    Bosefski, Christopher
    Schommer, Clara L.
    Satyanarayana, Sagar
    Desai, Urvi
    Brooks, Benjamin Rix Brooks
    MUSCLE & NERVE, 2023, 68 : S52 - S52
  • [10] METROLOGICAL STUDY OF TWO WEARABLE SLEEP TRACKERS AGAINST POLYSOMNOGRAPHY IN PATIENTS WITH SLEEP COMPLAINTS
    Frija-Masson, Justine
    Mullaert, Jimmy
    Grajoszex, Mathieu
    Benzaquen, Helene
    Wanono, Ruben
    Kerzabi, Fedja
    Geoffroy, Pierre Alexis
    Matrot, Boris
    d'Ortho, Marie-Pia
    ACTA PHYSIOLOGICA, 2023, 239