Key result
A non-exercise prediction model combining seismocardiogram features with age, sex, and BMI yielded a strong correlation to measured VO2max of 0.90 (95% CI 0.83-0.94; p<0.001).
Why the study?
Cardiorespiratory fitness can be estimated as VO2max using non-exercise algorithms, but existing results can be inaccurate.
Does a seismocardiogram-based non-exercise prediction model accurately estimate VO2max in healthy subjects?
Observational (n=26)
Does a seismocardiogram-based non-exercise prediction model accurately estimate VO2max in healthy subjects?
Effect estimate: Correlation 0.90 (95% CI 0.83-0.94)
p-value: p=<0.001
A non-exercise prediction model incorporating seismocardiography accurately estimates VO2max in healthy subjects, offering a potential clinical alternative to maximal effort testing.
May support non-exercise VO2max estimation in healthy adults; leaves open clinical adoption pending prospective validation.
The purpose of this study was to investigate the correlation between the seismocardiogram and cardiorespiratory fitness. Cardiorespiratory fitness can be estimated as VO2max using non-exercise algorithms, but the results can be inaccurate. Healthy subjects were recruited for this study. Seismocardiogram and electrocardiogram were recorded at rest. VO2max was measured during a maximal effort cycle ergometer test. Amplitudes and timing intervals were extracted from the seismocardiogram and used in combination with demographic data in a non-exercise prediction model for VO2max. 26 subjects were included, 17 females. Mean age: 38.3±9.1 years. The amplitude following the aortic valve closure derived from the seismocardiogram had a significant correlation of 0.80 (p<0.001) to VO2max. This feature combined with age, sex and BMI in the prediction model, yields a correlation to VO2max of 0.90 (p<0.001, 95% CI: 0.83–0.94) and a standard error of the estimate of 3.21 mL·kg−1·min−1 . The seismocardiogram carries information about the cardiorespiratory fitness. When comparing to other non-exercise models the proposed model performs better, even after cross validation. The model is limited when tracking changes in VO2max. The method could be used in the clinic for a more accurate estimation of VO2max compared to current non-exercise methods.
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Sørensen et al. (2020) conducted an observational in Healthy subjects (n=26). Seismocardiogram-based prediction model vs. Measured VO2max was evaluated on Correlation between the prediction model and measured VO2max (Correlation 0.90, 95% CI 0.83-0.94, p=<0.001). A non-exercise prediction model combining seismocardiogram features with age, sex, and BMI yielded a strong correlation to measured VO2max of 0.90 (95% CI 0.83-0.94; p<0.001).
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