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• W4297965399 endingPage "447" @default.
• W4297965399 startingPage "434" @default.
• W4297965399 abstract "Load carriage experiments are typically performed from a linear perspective that assumes that movement variability is equivalent to error or noise in the neuromuscular system. A complimentary, nonlinear perspective that treats variability as the object of study has generated important results in movement science outside load carriage settings. To date, no systematic review has yet been conducted to understand how load carriage dynamics change from a nonlinear perspective. The goal of this systematic review is to fill that need. Relevant literature was extracted and reviewed for general trends involving nonlinear perspectives on load carriage. Nonlinear analyses that were used in the reviewed studies included sample, multiscale, and approximate entropy; the Lyapunov exponent; fractal analysis; and relative phase. In general, nonlinear tools successfully distinguish between unloaded and loaded conditions in standing and walking, although not in a consistent manner. The Lyapunov exponent and entropy were the most used nonlinear methods. Two noteworthy findings are that entropy in quiet standing studies tends to decrease, whereas the Lyapunov exponent in walking studies tends to increase, both due to added load. Thus, nonlinear analyses reveal altered load carriage dynamics, demonstrating promise in applying a nonlinear perspective to load carriage while also underscoring the need for more research." @default.
• W4297965399 created "2022-10-01" @default.
• W4297965399 creator A5042189012 @default.
• W4297965399 creator A5057408208 @default.
• W4297965399 creator A5087979505 @default.
• W4297965399 date "2022-12-01" @default.
• W4297965399 modified "2023-10-02" @default.
• W4297965399 title "Nonlinear Analyses Distinguish Load Carriage Dynamics in Walking and Standing: A Systematic Review" @default.
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