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<p>Cardiorespiratory fitness expressed as maximal oxygen consumption (V̇O<sub>2max</sub>) is a strong predictor of cardiovascular health, but its measurement through cardiopulmonary exercise (CPX) testing is complex and costly. This study develops and validates an algorithm for non-exercise estimation of V̇O<sub>2max</sub> using seismocardiography (SCG-V̇O<sub>2max</sub>). Data from SCG recordings and CPX tests of 300 subjects were combined into a database, with 83 subjects undergoing repeated sessions. SCG was recorded via a sensitive accelerometer on the lower sternum in a supine position. A machine learning algorithm was trained on data from 221 subjects, with 74 subjects comprising a test set. SCG- V̇O<sub>2max</sub> (44.8 ± 9.4 ml/min/kg) was comparable to CPX V̇O<sub>2max</sub> (44.0 ± 10.2 ml/min/kg), with a correlation of <i>r</i> = 0.873. Day-to-day variation was low for both methods. SCG-based estimation of V̇O<sub>2max</sub> is a novel, easy-to-use, and accurate method for assessing cardiorespiratory fitness, with high reproducibility and potential for integration into health evaluations.</p>

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Estimation of cardiorespiratory fitness in healthy using seismocardiography

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月22日

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  • S. E. Schmidt,
  • M. T. Hansen,
  • D. S. Karbing,
  • Kasper Sørensen,
  • M. K. Poulsen,
  • T. Rømer,
  • J. J. Struijk,
  • P. Søgaard,
  • J. W. Helge

摘要

Cardiorespiratory fitness expressed as maximal oxygen consumption (V̇O2max) is a strong predictor of cardiovascular health, but its measurement through cardiopulmonary exercise (CPX) testing is complex and costly. This study develops and validates an algorithm for non-exercise estimation of V̇O2max using seismocardiography (SCG-V̇O2max). Data from SCG recordings and CPX tests of 300 subjects were combined into a database, with 83 subjects undergoing repeated sessions. SCG was recorded via a sensitive accelerometer on the lower sternum in a supine position. A machine learning algorithm was trained on data from 221 subjects, with 74 subjects comprising a test set. SCG- V̇O2max (44.8 ± 9.4 ml/min/kg) was comparable to CPX V̇O2max (44.0 ± 10.2 ml/min/kg), with a correlation of r = 0.873. Day-to-day variation was low for both methods. SCG-based estimation of V̇O2max is a novel, easy-to-use, and accurate method for assessing cardiorespiratory fitness, with high reproducibility and potential for integration into health evaluations.