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Validation of the Polar Fitness Test for Estimation of Maximal Oxygen Consumption at Rest in Medically Supervised Exercise Training: Comparison with CPET and the 6-Minute Walk Test †

  • Michael Neudorfer
  • , Lukas Ötzlinger
  • , Devender Kumar
  • , Josef Niebauer
  • , Jan David Smeddinck
  • , Mahdi Sareban*
  • , Gunnar Treff*
  • *Corresponding author for this work
  • University Institute of Sports Medicine
  • Ludwig Bolzmann Institut für
  • Ludwig Boltzmann Institute
  • Paracelsus Medical University

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The Polar Fitness Test (PFT) estimates maximal oxygen consumption (V̇O 2max) under resting conditions using heart rate data from the manufacturer's wearable devices. We aimed to validate the PFT in a population with cardiovascular risk factors and to compare its results with five established equations predicting V̇O 2max based on the 6-min walk test (6MWT). Twenty-four participants (9 female; age 57.4 ± 10.2 years) undergoing medically supervised exercise training-including seven individuals on heart rate-limiting medication-completed the PFT, 6MWT, and cardiopulmonary exercise testing (CPET), which served as the criterion V̇O 2max measurement. The PFT showed a mean absolute percent-age error (MAPE) of 13.7%, an intraclass correlation coefficient (ICC) of 0.743, a mean bias of -1.0 mL/min/kg, and limits of agreement (LoA) of ±11.4 mL/min/kg compared to CPET. Among the 6MWT-based equations, only the Porcari equation demonstrated similar performance (MAPE 12.6%, ICC 0.725, mean bias 0.2 mL/min/kg, LoA ± 9.7 mL/min/kg), while other equations showed larger errors and systematic deviations. Our data indicate that the PFT may present an easily accessible option to estimate V̇O 2max on population level when exercise-based testing is not feasible. However, its variability limits use for individual clinical decisions, reaffirming the relevance of CPET for accurate assessment.

Original languageEnglish
Article number5649
JournalSensors
Volume25
Issue number18
ISSN1424-8220
DOIs
Publication statusPublished - 10. Sept 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 by the authors.

Keywords

  • cardiac rehabilitation
  • mHealth
  • photoplethysmography
  • prevention
  • telemedicine
  • wearables

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