Abstract
Background: Low cardiorespiratory fitness (ie, peak oxygen consumption [V.O2peak]) is associated with cardiovascular disease and all-cause mortality and is recognized as an important clinical tool in the assessment of patients. Cardiopulmonary exercise test (CPET) is the gold standard procedure for determination of V.O2peak but has methodological challenges as it is time-consuming and requires specialized equipment and trained professionals. Seismofit is a chest-mounted medical device for estimating V.O2peak at rest using seismocardiography. Objective: The purpose of this study was to investigate the validity and reliability of Seismofit V.O2peak estimation in a healthy population. Methods: On 3 separate days, 20 participants (10 women) underwent estimations of V.O2peak with Seismofit (×2) and Polar Fitness Test (PFT) in randomized order and performed a graded CPET on a cycle ergometer with continuous pulmonary gas exchange measurements. Results: Seismofit V.O2peak showed a significant bias of –3.1 ± 2.4 mL·min–1·kg–1 (mean ± 95% confidence interval) and 95% limits of agreement (LoA) of ±10.8 mL·min–1·kg–1 compared to CPET. The mean absolute percentage error (MAPE) was 12.0%. Seismofit V.O2peak had a coefficient of variation of 4.5% ± 1.3% and an intraclass correlation coefficient of 0.95 between test days and a bias of 0.0 ± 0.4 mL·min–1·kg–1 with 95% LoA of ±1.6 mL·min–1·kg–1 in test–retest. In addition, Seismofit showed a 2.4 mL·min–1·kg–1 smaller difference in 95% LoA than PFT compared to CPET. Conclusion: The Seismofit is highly reliable in its estimation of V.O2peak. However, based on the measurement error and MAPE >10%, the Seismofit V.O2peak estimation model needs further improvement to be considered for use in clinical settings.
| Original language | English |
|---|---|
| Pages (from-to) | 155-163 |
| Number of pages | 9 |
| Journal | Cardiovascular Digital Health Journal |
| Volume | 4 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 2023 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords*
- Cardiorespiratory fitness test
- Method agreement
- Nonexercise VOpeak equation
- Seismocardiography
- VOmax estimation
Field of Science*
- 2.6 Medical engineering
- 3.2 Clinical medicine
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
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