Maximum Lyapunov exponent revisited: Long-term attractor divergence of gait dynamics is highly sensitive to the noise structure of stride intervals

Analysis of the nonlinear variability of human locomotion has attracted growing interest over the past decade [1]. This approach postulates that decoding nonlinear dependence among consecutive gait cycles (strides) can help to better understand gait control. A popular nonlinear method is the local dynamic stability (LDS) of the gait [2 –5]. LDS is derived from the maximum Lyapunov exponent, which is used to highlight the deterministic chaos in nonlinear systems. Gait LDS has been proven particularly useful for detecting patients at risk of falling [6].

Source: Gait and Posture - August 14, 2018 Category: Orthopaedics Authors: Philippe Terrier, Fabienne Reynard Tags: Full length article Source Type: research