Effect of Data and Gap Characteristics on the Nonlinear Calculation of Motion During Locomotor Activities
Arash Mohammadzadeh Gonabadi,
Thad W. Buster,
Guilherme M. Cesar
et al.
Abstract:This study investigated how data series length and gaps in human kinematic data impact the accuracy of Lyapunov exponents (LyE) calculations with and without cubic spline interpolation. Kinematic time series were manipulated to create various data series lengths (28% and 100% of original) and gap durations (0.05–0.20 s). Longer gaps generally resulted in significantly higher LyE% error values in each plane in noninterpolated data. During cubic spline interpolation, only the 0.20-second gap in frontal plane dat… Show more
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