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 language | English |
|---|---|
| Article number | 5649 |
| Journal | Sensors |
| Volume | 25 |
| Issue number | 18 |
| ISSN | 1424-8220 |
| DOIs | |
| Publication status | Published - 10. Sept 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 by the authors.
Keywords
- cardiac rehabilitation
- mHealth
- photoplethysmography
- prevention
- telemedicine
- wearables
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