Comput. Biol. Med. - Gait variability and stability measures: minimum number of strides and within-session reliability.

Tópicos

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Resumo

CKGROUND: Several methods are proposed in the literature for the quantification of gait variability/stability from trunk accelerations. Since outputs can be influenced by implementation differences, reliability assessment and standardization of implementation parameters are still an issue. The aim of this study is to assess the minimum number of required strides and the within-session reliability of 11 variability/stability measures.METHOD: Ten healthy participants walked in a straight line at self-selected speed wearing two synchronized tri-axial Inertial Measurement Units. Five variability measures were calculated based on stride times namely Standard deviation, Coefficient of variation, Inconsistency of variance, Nonstationary index and Poincar? plot. Six stability measures were calculated based on trunk accelerations namely Maximum Floquet multipliers, Short term/long term Lyapunov exponents, Recurrence quantification analysis, Multiscale entropy, Harmonic ratio and Index of harmonicity. The required minimum number of strides and the within-session reliability for each measure were obtained based on the interquartile range/mean ratio. Measures were classified in five categories (namely excellent, good, average, poor, and very poor) based on their reliability.RESULTS: The number of strides required to obtain a reliable measure was generally larger than those conventionally used. Variability measures showed average to poor reliability, while stability measures ranged from excellent to very poor reliability.CONCLUSION: Recurrence quantification analysis and multiscale entropy of trunk accelerations showed excellent reliability and a reasonable number of required strides. Based on these results, these measures should be taken into consideration in the assessment of fall risk.

Resumo Limpo

ckground sever method propos literatur quantif gait variabilityst trunk acceler sinc output can influenc implement differ reliabl assess standard implement paramet still issu aim studi assess minimum number requir stride withinsess reliabl variabilityst measuresmethod ten healthi particip walk straight line selfselect speed wear two synchron triaxial inerti measur unit five variabl measur calcul base stride time name standard deviat coeffici variat inconsist varianc nonstationari index poincar plot six stabil measur calcul base trunk acceler name maximum floquet multipli short termlong term lyapunov expon recurr quantif analysi multiscal entropi harmon ratio index harmon requir minimum number stride withinsess reliabl measur obtain base interquartil rangemean ratio measur classifi five categori name excel good averag poor poor base reliabilityresult number stride requir obtain reliabl measur general larger convent use variabl measur show averag poor reliabl stabil measur rang excel poor reliabilityconclus recurr quantif analysi multiscal entropi trunk acceler show excel reliabl reason number requir stride base result measur taken consider assess fall risk

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