British medical bulletin · 2026
Determining the minimum number of steps required for reliable kinetic, kinematic, gait variability, and V̇O2 parameters in outdoor running.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Padulo Johnny, Scurati Raffaele, Baldo Simone, Esposito Fabio, Peyré-Tartaruga Leonardo Alexandre
Аннотация
INTRODUCTION: Outdoor running gait analysis using wearable sensors requires establishing minimum step requirements for reliable parameter measurement.
SOURCES OF DATA: Fourteen trained runners completed 10-minute trials at critical speed. RunScribe™ captured kinetic/kinematic data at 500 Hz. Convergence analysis determined minimum steps when cumulative means stabilized within ±2% for ≥10 consecutive steps.
AREAS OF AGREEMENT: Most parameters achieved excellent reliability (ICC > 0.900). Metabolic parameters (V̇O₂: 108 ± 32 steps) and step rate (124 ± 36 steps) converged fastest, while kinematic variables required moderate sampling (stride length: 152 ± 48 steps; contact time: 198 ± 52 steps).
AREAS OF CONTROVERSY: Complex biomechanical metrics showed substantial variability: leg stiffness (kleg: 342 ± 78 steps; kvert: 298 ± 71 steps) and gait variability (246 ± 12 steps) required substantially more data, challenging brief field assessment feasibility.
GROWING POINTS: This study establishes parameter-specific sampling protocols for outdoor gait analysis, demonstrating that different measurement domains require tailored data collection strategies to optimize ecological validity.
AREAS TIMELY FOR DEVELOPING RESEARCH: 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.
SOURCES OF DATA: Fourteen trained runners completed 10-minute trials at critical speed. RunScribe™ captured kinetic/kinematic data at 500 Hz. Convergence analysis determined minimum steps when cumulative means stabilized within ±2% for ≥10 consecutive steps.
AREAS OF AGREEMENT: Most parameters achieved excellent reliability (ICC > 0.900). Metabolic parameters (V̇O₂: 108 ± 32 steps) and step rate (124 ± 36 steps) converged fastest, while kinematic variables required moderate sampling (stride length: 152 ± 48 steps; contact time: 198 ± 52 steps).
AREAS OF CONTROVERSY: Complex biomechanical metrics showed substantial variability: leg stiffness (kleg: 342 ± 78 steps; kvert: 298 ± 71 steps) and gait variability (246 ± 12 steps) required substantially more data, challenging brief field assessment feasibility.
GROWING POINTS: This study establishes parameter-specific sampling protocols for outdoor gait analysis, demonstrating that different measurement domains require tailored data collection strategies to optimize ecological validity.
AREAS TIMELY FOR DEVELOPING RESEARCH: 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.