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

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
  4. Lu C, Cui W, Zhu Z, Wu Y, Xing Q, Pan B, Shen Y. Validity of smartwatch-derived estimates of lactate threshold heart rate and pace compared to graded exercise testing. Frontiers in Physiology 2025;16 View
  5. Kahsay H, Berhie G, Cecchetti A. Assessing the Impact of Healthcare Wearables on Improving Health Disparities in Minority Communities in Mississippi. Science, Technology & Public Policy 2025;9(2):71 View
  6. Engel F, Masur L, Sperlich B, Düking P. Validity of V̇O2max estimates from the forerunner 245 smartwatch in highly vs. moderately trained endurance athletes. European Journal of Applied Physiology 2025 View