THE APPLICATION OF DETREMDED FLUCTUATION ANALYSIS IN RUNNING AND ITS INTEGRATION INTO A REAL-TIME SYSTEM

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Detrended fluctuation analysis (DFA) provides valuable information regarding both training 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.