The Validity of Apple Watch Series 9 and Ultra 2 for Serial Measurements of Heart Rate Variability and Resting Heart Rate.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 26 08 2024
revised: 13 09 2024
accepted: 19 09 2024
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: epublish

Résumé

The widespread use of wearable devices has enabled continuous monitoring of biometric data, including heart rate variability (HRV) and resting heart rate (RHR). However, the validity of these measurements, particularly from consumer devices like Apple Watch, remains underexplored. This study aimed to validate HRV measurements obtained from Apple Watch Series 9 and Ultra 2 against the Polar H10 chest strap paired with the Kubios HRV software, which together served as the reference standard. A prospective cohort of 39 healthy adults provided 316 HRV measurements over a 14-day period. Generalized Estimating Equations were used to assess the difference in HRV between devices, accounting for repeated measures. Apple Watch tended to underestimate HRV by an average of 8.31 ms compared to the Polar H10 (

Identifiants

pubmed: 39409260
pii: s24196220
doi: 10.3390/s24196220
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Science Foundation Ireland
ID : 22/NCF/FD/10949
Pays : Ireland

Auteurs

Ben O'Grady (B)

School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Insight SFI Research Centre for Data Analytics, University College Dublin, D04V1W8 Dublin, Ireland.

Rory Lambe (R)

School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Insight SFI Research Centre for Data Analytics, University College Dublin, D04V1W8 Dublin, Ireland.

Maximus Baldwin (M)

School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Insight SFI Research Centre for Data Analytics, University College Dublin, D04V1W8 Dublin, Ireland.
Institute for Sport and Health, University College Dublin, D04V1W8 Dublin, Ireland.

Tara Acheson (T)

School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Institute for Sport and Health, University College Dublin, D04V1W8 Dublin, Ireland.

Cailbhe Doherty (C)

School of Public Health, Physiotherapy and Sports Science, University College Dublin, D04V1W8 Dublin, Ireland.
Insight SFI Research Centre for Data Analytics, University College Dublin, D04V1W8 Dublin, Ireland.

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Classifications MeSH