Literature DB >> 26776931

Mechanisms used to increase peak propulsive force following 12-weeks of gait training in individuals poststroke.

HaoYuan Hsiao1, Brian A Knarr2, Ryan T Pohlig3, Jill S Higginson4, Stuart A Binder-Macleod5.   

Abstract

Current rehabilitation efforts for individuals poststroke focus on increasing walking speed because it is a predictor of community ambulation and participation. Greater propulsive force is required to increase walking speed. Previous studies have identified that trailing limb angle (TLA) and ankle moment are key factors to increases in propulsive force during gait. However, no studies have determined the relative contribution of these two factors to increase propulsive force following intervention. The purpose of this study was to quantify the relative contribution of ankle moment and TLA to increases in propulsive force following 12-weeks of gait training for individuals poststroke. Forty-five participants were assigned to 1 of 3 training groups: training at self-selected speeds (SS), at fastest comfortable speeds (Fast), and Fast with functional electrical stimulation (FastFES). For participants who gained paretic propulsive force following training, a biomechanical-based model previously developed for individuals poststroke was used to calculate the relative contributions of ankle moment and TLA. A two-way, mixed-model design, analysis of covariance adjusted for baseline walking speed was performed to analyze changes in TLA and ankle moment across groups. The model showed that TLA was the major contributor to increases in propulsive force following training. Although the paretic TLA increased from pre-training to post-training, no differences were observed between groups. In contrast, increases in paretic ankle moment were observed only in the FastFES group. Our findings suggested that specific targeting may be needed to increase ankle moment.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Extension; Functional electrical stimulation; Gait; Moment; Propulsion; Stroke; Trailing limb

Mesh:

Year:  2015        PMID: 26776931      PMCID: PMC4761516          DOI: 10.1016/j.jbiomech.2015.12.040

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


  24 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

2.  Relationship between step length asymmetry and walking performance in subjects with chronic hemiparesis.

Authors:  Chitralakshmi K Balasubramanian; Mark G Bowden; Richard R Neptune; Steven A Kautz
Journal:  Arch Phys Med Rehabil       Date:  2007-01       Impact factor: 3.966

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.  The relative contribution of ankle moment and trailing limb angle to propulsive force during gait.

Authors:  HaoYuan Hsiao; Brian A Knarr; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Hum Mov Sci       Date:  2014-12-12       Impact factor: 2.161

5.  The influence of locomotor rehabilitation on module quality and post-stroke hemiparetic walking performance.

Authors:  Rebecca L Routson; David J Clark; Mark G Bowden; Steven A Kautz; Richard R Neptune
Journal:  Gait Posture       Date:  2013-03-13       Impact factor: 2.840

6.  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

7.  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

8.  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

9.  Changes in the activation and function of the ankle plantar flexor muscles due to gait retraining in chronic stroke survivors.

Authors:  Brian A Knarr; Trisha M Kesar; Darcy S Reisman; Stuart A Binder-Macleod; Jill S Higginson
Journal:  J Neuroeng Rehabil       Date:  2013-01-31       Impact factor: 4.262

10.  Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson
Journal:  BMC Neurol       Date:  2007-11-08       Impact factor: 2.474

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  14 in total

Review 1.  Paretic propulsion as a measure of walking performance and functional motor recovery post-stroke: A review.

Authors:  Sarah A Roelker; Mark G Bowden; Steven A Kautz; Richard R Neptune
Journal:  Gait Posture       Date:  2018-10-25       Impact factor: 2.840

2.  Associations Between Foot Placement Asymmetries and Metabolic Cost of Transport in Hemiparetic Gait.

Authors:  James M Finley; Amy J Bastian
Journal:  Neurorehabil Neural Repair       Date:  2016-10-22       Impact factor: 3.919

3.  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

4.  Walking and Balance Outcomes Are Improved Following Brief Intensive Locomotor Skill Training but Are Not Augmented by Transcranial Direct Current Stimulation in Persons With Chronic Spinal Cord Injury.

Authors:  Nicholas H Evans; Cazmon Suri; Edelle C Field-Fote
Journal:  Front Hum Neurosci       Date:  2022-05-11       Impact factor: 3.473

5.  Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions.

Authors:  Masataka Yamamoto; Koji Shimatani; Yuto Ishige; Hiroshi Takemura
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

6.  Effects of real-time gait biofeedback on paretic propulsion and gait biomechanics in individuals post-stroke.

Authors:  Katlin Genthe; Christopher Schenck; Steven Eicholtz; Laura Zajac-Cox; Steven Wolf; Trisha M Kesar
Journal:  Top Stroke Rehabil       Date:  2018-02-19       Impact factor: 2.119

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.  Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization.

Authors:  Louis N Awad; Darcy S Reisman; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2016-09-23       Impact factor: 4.262

9.  Effects of task-specific paretic ankle plantar flexor training on walking in a stroke patient: a single-case study.

Authors:  Shingo Miyata; Shigeru Terada; Nobumasa Matsui; Keita Uchiyama
Journal:  J Phys Ther Sci       Date:  2018-03-02

10.  Persons post-stroke improve step length symmetry by walking asymmetrically.

Authors:  Purnima Padmanabhan; Keerthana Sreekanth Rao; Shivam Gulhar; Kendra M Cherry-Allen; Kristan A Leech; Ryan T Roemmich
Journal:  J Neuroeng Rehabil       Date:  2020-08-03       Impact factor: 4.262

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