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. 2023 Jun 12;68(6):563-571.
doi: 10.1515/bmt-2022-0258. Print 2023 Dec 15.

Instrumented treadmill for run biomechanics analysis: a comparative study

Marco Bravi  1   2   3 , Fabio Santacaterina  1 , Federica Bressi  1   2 , Michelangelo Morrone  1   2 , Andrea Renzi  1 , Joshua Di Tocco  4 , Emiliano Schena  4 , Silvia Sterzi  1   2 , Carlo Massaroni  4
Affiliations

Instrumented treadmill for run biomechanics analysis: a comparative study

Marco Bravi et al. Biomed Tech (Berl). .

Abstract

This study aims compare the spatiotemporal and kinematic running parameters obtained by the WalkerView (Tecnobody, Bergamo, Italy) with those recorded by a optoelectronic 3D motion capture system. Seventeen participants were simultaneously recorded by the WalkerView and a motion capture system during running tests on the WalkerView at two different speeds (i.e., 8 km/h and 10 km/h). Per each parameter and speed the Root Mean Square Error (RMSE), the intraclass correlation coefficient (ICC), and the mean of the difference (MOD) and limits of agreement (LOAs) indexes obtained from Bland-Altman analysis were used to compare the two systems. ICCs show an excellent agreement for the mean step time and the cadence at both testing speeds (ICC=0.993 at 8 km/h; ICC=0.998 at 10 km/h); a lower agreement was found for all the kinematic variables. Small differences for some spatio-temporal parameters and greater differences for the kinematic variables were found. Therefore, WalkerView could represent a practical, accessible, and less expensive tool for clinicians, researchers, and sports trainers to assess the characteristics spatio-temporal parameters of running in non-laboratory settings.

Keywords: biomechanics; injury; prevention; run analysis; sport; treadmill; validity.

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