Possibilities for Real-time DFA Based Injury Detection and Skill Level Differentiation. (2016)

• Record Type: Journal Article
• Authors: Norris, M.; Kenny, I.C.; Healy, R.; Anderson, R.
• Is Part Of: Procedia engineering. Volume 147(2016)
• Page Start: 700
• Page End: 705
• Publication Date: 2016
• Subjects: Feedback -- gait -- locomotion -- variability -- stride; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2016.06.249
• Languages: English
• ISSNs: 1877-7058

Abstract

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.