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Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategies

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  • Andrea Zignoli
  • Antoine Godin
  • Laurent Mourot

Abstract

Inertial measurement units (IMU) constitute a light and cost-effective alternative to gold-standard measurement systems in the assessment of running temporal variables. IMU data collected on 20 runners running at different speeds (80, 90, 100, 110 and 120% of preferred running speed) and treadmill inclination (±2, ±5, and ±8%) were used here to predict the following temporal variables: stride frequency, duty factor, and two indices of running variability such as the detrended fluctuation analysis alpha (DFA-α) and the Higuchi’s D (HG-D). Three different estimation methodologies were compared: 1) a gold-standard optoelectronic device (which provided the reference values), 2) IMU placed on the runner’s feet, 3) a single IMU on the runner’s thorax used in conjunction with a machine learning algorithm with a short 2-second or a long 120-second window as input. A two-way ANOVA was used to test the presence of significant (p

Suggested Citation

  • Andrea Zignoli & Antoine Godin & Laurent Mourot, 2023. "Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategies," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-21, July.
    • Handle: RePEc:plo:pone00:0287978
    DOI: 10.1371/journal.pone.0287978
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