Possibilities for real time DFA based injury detection and skill level differentiation

Michelle Norris, I. C. Kenny, Healy R. Anderson

Research output: Contribution to journalArticlepeer-review

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Abstract

Detrended fluctuation analysis (DFA) is applied to running stride time series for the detection of long range correlations. However, there is no concurrent real-time data collection and DFA feedback mechanism. We aimed to verify a running analysis system for production of real-time DFA α values. Data were collected utilising an accelerometer, attached to the tibia. The accelerometer data were transmitted to MATLAB for processing. Results demonstrated DFA α value output < 2 seconds post individual running Epochs, and < 5 seconds post run completion. Our running analysis system provides rapid advanced variability information, important in both training, and injury prevention.
Original languageEnglish
Pages (from-to)700-705
JournalProcedia Engineering
Volume147
Early online date9 Jul 2016
DOIs
Publication statusPublished - 9 Jul 2016

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