Literature DB >> 29325901

Dynamic structure of lower limb joint angles during walking post-stroke.

Kelley Kempski1, Louis N Awad2, Thomas S Buchanan3, Jill S Higginson3, Brian A Knarr4.   

Abstract

BACKGROUND: Variability in joint kinematics is necessary for adaptability and response to everyday perturbations; however, intrinsic neuromotor changes secondary to stroke often cause abnormal movement patterns. How these abnormal movement patterns relate to joint kinematic variability and its influence on post-stroke walking impairments is not well understood.
OBJECTIVE: The purpose of this study was to evaluate the movement variability at the individual joint level in the paretic and non-paretic limbs of individuals post-stroke.
METHODS: Seven individuals with hemiparesis post-stroke walked on a treadmill for two minutes at their self-selected speed and the average speed of the six-minute walk test while kinematics were recorded using motion-capture. Variability in hip, knee, and ankle flexion/extension angles during walking were quantified with the Lyapunov exponent (LyE). Interlimb differences were evaluated.
RESULTS: The paretic side LyE was higher than the non-paretic side at both self-selected speed (Hip: 50%; Knee: 74%), and the average speed of the 6-min walk test (Hip: 15%; Knee: 93%).
CONCLUSION: Differences in joint kinematic variability between limbs of persons post-stroke supports further study of the source of non-paretic limb deviations as well as the clinical implications of joint kinematic variability in persons post-stroke. The development of bilaterally-targeted post-stroke gait interventions to address variability in both limbs may promote improved outcomes.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Gait; Nonlinear analysis; Stroke; Variability

Mesh:

Year:  2017        PMID: 29325901      PMCID: PMC5858158          DOI: 10.1016/j.jbiomech.2017.12.019

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  27 in total

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  2 in total

1.  Dynamic structure of variability in joint angles and center of mass position during user-driven treadmill walking.

Authors:  Kelley M Kempski; Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  Gait Posture       Date:  2019-05-01       Impact factor: 2.840

2.  Characterizing stroke-induced changes in the variability of lower limb kinematics using multifractal detrended fluctuation analysis.

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