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Purpose High body mass leads to changes in gait to accommodate the increased mechanical demands. Thus, previous research has examined how body mass affects gait variability (i.e., stride-to-stride fluctuations). However, these studies have been focused on the magnitude (extent of these fluctuations) of gait variability, while the effects of body mass on the temporal structure (how fluctuations are organized over time) remain u...
Background For decades, researchers have used Detrended Fluctuation Analysis (DFA) as a method to assess the temporal structure of gait variability through the Hurst exponent ( H) . However, DFA’s reliance on long time series limits reliability and reduces statistical power when applied to short walking trials, restricting its applicability. The Hurst-Kolmogorov process (HKp), an increasingly common algorithm, may offer more r...
Sample Entropy ( SampEn ) is widely used to quantify the predictability of movement behavior. However, the conventional values for its parameters–embedding dimension and tolerance–were originally developed for discrete and stationary physiological signals like heart inter-beat intervals and may not be optimal for smooth, nonstationary, and cyclic data such as gait kinematics. This study systematically evaluated a broad paramet...
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