Literature DB >> 22503594

Gait dynamics following variable and constant speed gait training in individuals with chronic stroke.

Christopher K Rhea1, Clinton J Wutzke, Michael D Lewek.   

Abstract

Variable practice may be beneficial for learning novel motor patterns. The purpose of this study was to determine the effect of a variable practice intervention during treadmill walking on the dynamic properties of gait. Using a counterbalanced design, 16 subjects with hemiparesis following chronic stroke performed 20 min of treadmill walking in constant speed training (CST) and variable speed training (VST) conditions. The dynamic properties of the hip and knee sagittal plane angles for two minutes before (pre-data) and two minutes after (post-data) CST and VST were examined using detrended fluctuation analysis and sample entropy. A main effect for time was observed for sample entropy of the knee angle; no other differences were observed between the pre/post data for the CST or VST conditions. While variable practice conditions are intended to promote movement errors for improved learning, we were unable to detect immediate changes in movement variability as a function of practice condition following a single session of gait training for individuals post-stroke.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22503594     DOI: 10.1016/j.gaitpost.2012.03.014

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  9 in total

1.  Sampling frequency influences sample entropy of kinematics during walking.

Authors:  Peter C Raffalt; John McCamley; William Denton; Jennifer M Yentes
Journal:  Med Biol Eng Comput       Date:  2018-11-03       Impact factor: 2.602

2.  The effects of variable practice on locomotor adaptation to a novel asymmetric gait.

Authors:  Jacob W Hinkel-Lipsker; Michael E Hahn
Journal:  Exp Brain Res       Date:  2017-06-24       Impact factor: 1.972

3.  The learning of isometric force time scales is differentially influenced by constant and variable practice.

Authors:  Adam C King; Karl M Newell
Journal:  Exp Brain Res       Date:  2013-04-30       Impact factor: 1.972

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

Authors:  Kelley Kempski; Louis N Awad; Thomas S Buchanan; Jill S Higginson; Brian A Knarr
Journal:  J Biomech       Date:  2017-12-15       Impact factor: 2.712

Review 5.  Gait analysis under the lens of statistical physics.

Authors:  Massimiliano Zanin; Felipe Olivares; Irene Pulido-Valdeolivas; Estrella Rausell; David Gomez-Andres
Journal:  Comput Struct Biotechnol J       Date:  2022-06-18       Impact factor: 6.155

6.  Verbal feedback enhances motor learning during post-stroke gait retraining.

Authors:  Nicole K Rendos; Laura Zajac-Cox; Rahul Thomas; Sumire Sato; Steven Eicholtz; Trisha M Kesar
Journal:  Top Stroke Rehabil       Date:  2020-09-18       Impact factor: 2.177

7.  Specific Stimuli Induce Specific Adaptations: Sensorimotor Training vs. Reactive Balance Training.

Authors:  Kathrin Freyler; Anne Krause; Albert Gollhofer; Ramona Ritzmann
Journal:  PLoS One       Date:  2016-12-02       Impact factor: 3.240

8.  Effects of inclined treadmill walking training with rhythmic auditory stimulation on balance and gait in stroke patients.

Authors:  Sung Kyeung Yoon; Soon Hee Kang
Journal:  J Phys Ther Sci       Date:  2016-12-27

9.  On the calculation of sample entropy using continuous and discrete human gait data.

Authors:  John D McCamley; William Denton; Andrew Arnold; Peter C Raffalt; Jennifer M Yentes
Journal:  Entropy (Basel)       Date:  2018-10-05       Impact factor: 2.524

  9 in total

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