2020
DOI: 10.1109/tnsre.2020.2991636
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Local Dynamic Stability of Gait in People With Early Multiple Sclerosis and No-to-Mild Neurological Impairment

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Cited by 23 publications
(35 citation statements)
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“…Gait symmetry was computed separately on the three components of trunk acceleration, but only the medio‐lateral one was used in the subsequent multiple regression analysis (see Statistical Analysis), since it showed a higher bivariate correlation with the MSWS‐12 score (Pearson's r = −0.46, p < 0.001), compared to the antero‐posterior ( r = −0.26, p = 0.020) and vertical metrics ( r = −0.34, p = 0.002). gait instability (a.u. ), quantified through the short‐term Lyapunov exponent (sLyE) computed on trunk accelerations over the duration of one step, as fully detailed elsewhere [24]. As previously described [35], the sLyE reflects the capability of the locomotor system to cope with small perturbations naturally occurring during gait (e.g., external mechanical disturbances or internal motor control errors).…”
Section: Methodsmentioning
confidence: 99%
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“…Gait symmetry was computed separately on the three components of trunk acceleration, but only the medio‐lateral one was used in the subsequent multiple regression analysis (see Statistical Analysis), since it showed a higher bivariate correlation with the MSWS‐12 score (Pearson's r = −0.46, p < 0.001), compared to the antero‐posterior ( r = −0.26, p = 0.020) and vertical metrics ( r = −0.34, p = 0.002). gait instability (a.u. ), quantified through the short‐term Lyapunov exponent (sLyE) computed on trunk accelerations over the duration of one step, as fully detailed elsewhere [24]. As previously described [35], the sLyE reflects the capability of the locomotor system to cope with small perturbations naturally occurring during gait (e.g., external mechanical disturbances or internal motor control errors).…”
Section: Methodsmentioning
confidence: 99%
“…Each parameter was calculated on the middle 10 strides of each straight‐line walking bout and then averaged over the whole trial. All the above metrics have been previously proposed as reliable and valid biomarkers to objectively characterize walking anomalies in PwMS with different disability levels [24,36–39].…”
Section: Methodsmentioning
confidence: 99%
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“…Investigations of gait data based on nonlinear time series with or without a robotic walker enable the deduction of useful information regarding the intrinsic dynamical changes. Most of the nonlinear time series analysis-based studies on gait focused on the local dynamic stability using the maximum Lyapunov exponent [18][19][20][21]. However, studies on the sensitivity of the maximum Lyapunov exponent indicated that this measure is suitable for assessing the local dynamic stability at a group level [22], but cannot be used to detect small differences at an individual level [23].…”
Section: Introductionmentioning
confidence: 99%