Optimizing Wearable Device and Testing Parameters to Monitor Running-Stride Long-Range Correlations for Fatigue Management in Field Settings.
Joel T FullerDominic ThewlisJodie A WillsJonathan David BuckleyJohn B ArnoldEoin W DoyleTimothy L A DoyleClint R BellengerPublished in: International journal of sports physiology and performance (2023)
Detecting altered gait following intensive training was possible using 200 to 300 strides and a 100-Hz sampling rate, although 100 and 200 Hz underestimated α compared to higher rates. Using 2-session mean data lowers smallest detectable change values by nearly half compared to single-session data. Coaches, runners, and researchers can use these findings to integrate wearable-device gait monitoring into practice using dynamic systems variables.