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  1. Figure 1. Time series for one subject’s ankle angle while walking. Plot displays angle continuously from 0 to 6 s of nonstop walking. Slightly >5 strides shown. Traditional measures would consider performance of individual as average of these 5 strides. However, such an approach would not account for temporal relationship held within order of these strides. Time series analysis utilizing nonlinear dynamical tools, such as largest Lyapunov exponent, is able to quantify this relationship. In case of limb-loss rehabilitation, such temporal relationship is affected by prosthesis. Wurdeman SR, Myers SA, Jacobsen AL, Stergiou N. Prosthesis preference is related to stride-to-stride fluctuations at the prosthetic ankle. J Rehabil Res Dev. 2013; 50(5):671–86. http://dx.doi.org/10.1682/JRRD.2012.06.0104

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