Back to Search
Start Over
Evaluating the Typical Day-to-Day Variability of WHOOP-Derived Heart Rate Variability in Olympic Water Polo Athletes.
- Source :
-
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 06; Vol. 22 (18). Date of Electronic Publication: 2022 Sep 06. - Publication Year :
- 2022
-
Abstract
- Heart rate (HR) and HR variability (HRV) can be used to infer readiness to perform exercise in athletic populations. Advancements in the photoplethysmography technology of wearable devices such as WHOOP allow for the frequent and convenient measurement of HR and HRV, and therefore enhanced application in athletes. However, it is important that the reliability of such technology is acceptable prior to its application in practical settings. Eleven elite male water polo players (age 28.8 ± 5.3 years [mean ± standard deviation]; height 190.3 ± 3.8 cm; body mass 95.0 ± 6.9 kg; international matches 117.9 ± 92.1) collected their HR and HRV daily via a WHOOP strap (WHOOP 3.0, CB Rank, Boston, MA, USA) over 16 weeks ahead of the 2021 Tokyo Olympic Games. The WHOOP strap quantified HR and HRV via wrist-based photoplethysmography during overnight sleep periods. The weekly (i.e., 7-day) coefficient of variation in lnRMSSD (lnRMSSD <subscript>CV</subscript> ) and HR (HR <subscript>CV</subscript> ) was calculated as a measure of day-to-day variability in lnRMSSD and HR, and presented as a mean of the entire recording period. The mean weekly lnRMSSD <subscript>CV</subscript> and HR <subscript>CV</subscript> over the 16-week period was 5.4 ± 0.7% (mean ± 95% confidence intervals) and 7.6 ± 1.3%, respectively. The day-to-day variability in WHOOP-derived lnRMSSD and HR is within or below the range of day-to-day variability in alternative lnRMSSD (~3-13%) and HR (~10-11%) assessment protocols, indicating that the assessment of HR and HRV by WHOOP does not introduce any more variability than that which is naturally present in these variables.
Details
- Language :
- English
- ISSN :
- 1424-8220
- Volume :
- 22
- Issue :
- 18
- Database :
- MEDLINE
- Journal :
- Sensors (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 36146073
- Full Text :
- https://doi.org/10.3390/s22186723