Literature DB >> 27756571

Evaluation of measurements of propulsion used to reflect changes in walking speed in individuals poststroke.

HaoYuan Hsiao1, Thomas M Zabielski2, Jacqueline A Palmer3, Jill S Higginson4, Stuart A Binder-Macleod5.   

Abstract

Recent rehabilitation approaches for individuals poststroke have focused on improving walking speed because it is a reliable measurement that is associated with quality of life. Previous studies have demonstrated that propulsion, the force used to propel the body forward, determines walking speed. However, there are several different ways of measuring propulsion and no studies have identified which measurement best reflects differences in walking speed. The primary purposes of this study were to determine for individuals poststroke, which measurement of propulsion (1) is most closely related to their self-selected walking speeds and (2) best reflects changes in walking speed within a session. Participants (N=43) with chronic poststroke hemiparesis walked at their self-selected and maximal walking speeds on a treadmill. Propulsive impulse, peak propulsive force, and mean propulsive value (propulsive impulse divided by duration) were analyzed. In addition, each participant׳s cadence was calculated. Pearson correlation coefficients were used to determine the relationships between different measurements of propulsion versus walking speed as well as changes in propulsion versus changes in walking speed. Stepwise linear regression was used to determine which measurement of propulsion best predicted walking speed and changes in walking speed. The results showed that all 3 measurements of propulsion were correlated to walking speed, with peak propulsive force showed the strongest correlation. Similarly, when participants increased their walking speeds, changes in peak propulsive forces showed the strongest correlation to changes in walking speed. In addition, multiplying each measurement by cadence improved the correlations. The present study suggests that measuring peak propulsive force and cadence may be most appropriate of the variables studied to characterize propulsion in individuals poststroke.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait; Ground reaction force; Propulsion; Speed; Stroke

Mesh:

Year:  2016        PMID: 27756571      PMCID: PMC5164961          DOI: 10.1016/j.jbiomech.2016.10.003

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


  28 in total

1.  Combined effects of fast treadmill walking and functional electrical stimulation on post-stroke gait.

Authors:  Trisha M Kesar; Darcy S Reisman; Ramu Perumal; Angela M Jancosko; Jill S Higginson; Katherine S Rudolph; Stuart A Binder-Macleod
Journal:  Gait Posture       Date:  2010-12-22       Impact factor: 2.840

Review 2.  Rehabilitation of gait speed after stroke: a critical review of intervention approaches.

Authors:  Ruth Dickstein
Journal:  Neurorehabil Neural Repair       Date:  2008 Nov-Dec       Impact factor: 3.919

3.  Interlimb coordination during the stance phase of gait in subjects with stroke.

Authors:  Andreia S P Sousa; Augusta Silva; Rubim Santos; Filipa Sousa; João Manuel R S Tavares
Journal:  Arch Phys Med Rehabil       Date:  2013-07-19       Impact factor: 3.966

4.  Walking speed as a basis for normal and abnormal gait measurements.

Authors:  T P Andriacchi; J A Ogle; J O Galante
Journal:  J Biomech       Date:  1977       Impact factor: 2.712

5.  Immediate effects of a single inclined treadmill walking session on level ground walking in individuals after stroke.

Authors:  Chetan P Phadke
Journal:  Am J Phys Med Rehabil       Date:  2012-04       Impact factor: 2.159

6.  Reliability, smallest real difference and concurrent validity of indices computed from GRF components in gait of stroke patients.

Authors:  I Campanini; A Merlo
Journal:  Gait Posture       Date:  2009-05-09       Impact factor: 2.840

7.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

8.  Improvements in speed-based gait classifications are meaningful.

Authors:  Arlene Schmid; Pamela W Duncan; Stephanie Studenski; Sue Min Lai; Lorie Richards; Subashan Perera; Samuel S Wu
Journal:  Stroke       Date:  2007-05-17       Impact factor: 7.914

9.  Time course of functional and biomechanical improvements during a gait training intervention in persons with chronic stroke.

Authors:  Darcy Reisman; Trisha Kesar; Ramu Perumal; Margaret Roos; Katherine Rudolph; Jill Higginson; Erin Helm; Stuart Binder-Macleod
Journal:  J Neurol Phys Ther       Date:  2013-12       Impact factor: 3.649

10.  Targeting paretic propulsion to improve poststroke walking function: a preliminary study.

Authors:  Louis N Awad; Darcy S Reisman; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Arch Phys Med Rehabil       Date:  2013-12-28       Impact factor: 3.966

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  13 in total

1.  The Presence of a Paretic Propulsion Reserve During Gait in Individuals Following Stroke.

Authors:  Michael D Lewek; Cristina Raiti; Amanda Doty
Journal:  Neurorehabil Neural Repair       Date:  2018-12       Impact factor: 3.919

2.  Ankle power biofeedback attenuates the distal-to-proximal redistribution in older adults.

Authors:  Michael G Browne; Jason R Franz
Journal:  Gait Posture       Date:  2019-04-11       Impact factor: 2.840

3.  Adaptive treadmill control can be manipulated to increase propulsive impulse while maintaining walking speed.

Authors:  Kayla M Pariser; Margo C Donlin; Kaitlyn E Downer; Jill S Higginson
Journal:  J Biomech       Date:  2022-01-28       Impact factor: 2.712

4.  Adaptive treadmill walking encourages persistent propulsion.

Authors:  Margo C Donlin; Kayla M Pariser; Kaitlyn E Downer; Jill S Higginson
Journal:  Gait Posture       Date:  2022-02-16       Impact factor: 2.840

5.  Effects of Bilateral Assistance for Hemiparetic Gait Post-Stroke Using a Powered Hip Exoskeleton.

Authors:  Yi-Tsen Pan; Inseung Kang; James Joh; Patrick Kim; Kinsey R Herrin; Trisha M Kesar; Gregory S Sawicki; Aaron J Young
Journal:  Ann Biomed Eng       Date:  2022-08-13       Impact factor: 4.219

6.  Time-integrated propulsive and braking impulses do not depend on walking speed.

Authors:  Joan E Deffeyes; Denise M Peters
Journal:  Gait Posture       Date:  2021-06-11       Impact factor: 2.746

7.  Effects of unilateral real-time biofeedback on propulsive forces during gait.

Authors:  Christopher Schenck; Trisha M Kesar
Journal:  J Neuroeng Rehabil       Date:  2017-06-06       Impact factor: 4.262

8.  Augmenting propulsion demands during split-belt walking increases locomotor adaptation of asymmetric step lengths.

Authors:  Carly J Sombric; Gelsy Torres-Oviedo
Journal:  J Neuroeng Rehabil       Date:  2020-06-03       Impact factor: 4.262

9.  Novel velocity estimation for symmetric and asymmetric self-paced treadmill training.

Authors:  Santiago Canete; Daniel A Jacobs
Journal:  J Neuroeng Rehabil       Date:  2021-02-05       Impact factor: 4.262

Review 10.  These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits.

Authors:  Louis N Awad; Michael D Lewek; Trisha M Kesar; Jason R Franz; Mark G Bowden
Journal:  J Neuroeng Rehabil       Date:  2020-10-21       Impact factor: 4.262

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