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Figure 1 | Journal of NeuroEngineering and Rehabilitation

Figure 1

From: Kinematic variability, fractal dynamics and local dynamic stability of treadmill walking

Figure 1

Method: Step detection, stride intervals and Detrended Fluctuation Analysis. One subject performed 10 min of free walking. A: 2.5s sample of the antero-posterior acceleration signal; red dotted line is a low pass filtered (<3 Hz) version of the raw signal (black continuous line). Cross and black circle indicate how the algorithm specifically detect the heel strike (see method section for further explanation). The duration of two consecutive steps is defined as stride interval. B: Time series of stride intervals during the 10 min walking test. Average stride time (mean) and CV (SD/mean * 100) is also presented. C: Detredend Fluctuation Analysis (DFA). The fractal dynamics of the time series (B) is characterized by the scaling exponent α, computed by comparing the fluctuation (F(n)) at different scales (n) in a log-log plot.

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