This paper is in the following e-collection/theme issue:

Medical Device Adverse Events, Errors, Safety (17) Wearable Devices and Sensors (1022) Fitness Trackers and Smart Pedometers/Accelerometers (620) Mobile Health (mhealth) (3214)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59459, first published .
Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study

Authors of this article:

Polona Caserman1 Author Orcid Image ;   Sungsoo Yum1 Author Orcid Image ;   Stefan Göbel1 Author Orcid Image ;   Andreas Reif2 Author Orcid Image ;   Silke Matura2 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. Hsiao C, Tong C, Coté G. Machine Learning-Based VO2 Estimation Using a Wearable Multiwavelength Photoplethysmography Device. Biosensors 2025;15(4):208 View
  2. Murai F, So R, Matsuo T. Self-assessment of cardiorespiratory fitness: evaluation of reliability and validity of a step test eliminating a step board. European Journal of Applied Physiology 2025 View
  3. Lambe R, O’Grady B, Baldwin M, Doherty C, Cè E. Investigating the accuracy of Apple Watch VO2 max measurements: A validation study. PLOS One 2025;20(5):e0323741 View