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Figure 3 | Journal of NeuroEngineering and Rehabilitation

Figure 3

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

Figure 3

Method: dynamic stability, maximal Lyapunov exponent. A: Two dimensional state space of the antero-posterior acceleration signal (5s) reconstructed from the original data set and its time delayed copy (Δt = 11 samples). B: Magnification of the state space. An initial local perturbation at dj(0) diverge across i time steps as measured by dj(i). C: Short term (λS*) and long term (λL*) finite-time maximal Lyapunov exponent computed from average logarithmic divergence.

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