Optimizing Wearable Device and Testing Parameters to Monitor Running-Stride Long-Range Correlations for Fatigue Management in Field Settings

CONCLUSIONS: 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.PMID:37995677 | DOI:10.1123/ijspp.2023-0186

Source: International Journal of Sports Physiology and Performance - November 23, 2023 Category: Sports Medicine Authors: Joel T Fuller Dominic Thewlis Jodie A Wills Jonathan D Buckley John B Arnold Eoin Doyle Tim L A Doyle Clint R Bellenger Source Type: research