The application of detrended fluctuation analysis in running and its integration into a real-time system

Detrended fluctuation analysis (DFA) provides valuable information regarding both train ing and injury when applied to running time series. However, there is limited information when applied to recreational runners, or within a real-time environment. Firstly, DFA was applied to the stride time series of select training runs and competitive runs for recreational runners completing a half marathon and full marathon. Results indicate recreational runners maintain similar stride time dynamics in a half marathon, compared to training , however, stride time variability becomes increasingly deterministic during a marathon, compared to training. Secondly, we explore the implementation of DFA in a real-time system and provide evidence to support the use of DFA in running feedback.