Determining the minimum number of steps required for reliable kinetic, kinematic, gait variability, and VO2 parameters in outdoor running

Future research should examine how speed, terrain, and environmental conditions affect sampling requirements. Adaptive protocols and machine learning approaches offer promising opportunities for optimizing data collection efficiency.

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Publication Details

Journal
British Medical Bulletin
Published
2025-12-25
DOI
https://doi.org/10.1093/bmb/ldaf025
Primary Topic
Lower Extremity Biomechanics and Pathologies
Type
article
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article

Determining the minimum number of steps required for reliable kinetic, kinematic, gait variability, and VO2 parameters in outdoor running

Simone Baldo, Johnny Padulo, Fabio Esposito, Leonardo Alexandre Peyré-Tartaruga et al.
British Medical Bulletin
Lower Extremity Biomechanics and Pathologies
article

Determining the minimum number of steps required for reliable kinetic, kinematic, gait variability, and VO2 parameters in outdoor running

Simone Baldo, Johnny Padulo, Fabio Esposito, Leonardo Alexandre Peyré-Tartaruga, Raffaele Scurati
article en

Abstract

Future research should examine how speed, terrain, and environmental conditions affect sampling requirements. Adaptive protocols and machine learning approaches offer promising opportunities for optimizing data collection efficiency.

British Medical BulletinVol. 157(1)
Universidad de la República de Uruguay (UY), University of Milan (IT), University of Pavia (IT), Universidad de Montevideo (UY)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Lower Extremity Biomechanics and Pathologies
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