Literature DB >> 20022996

Gait parameters associated with responsiveness to treadmill training with body-weight support after stroke: an exploratory study.

Sara J Mulroy1, Tara Klassen, JoAnne K Gronley, Valerie J Eberly, David A Brown, Katherine J Sullivan.   

Abstract

BACKGROUND: Task-specific training programs after stroke improve walking function, but it is not clear which biomechanical parameters of gait are most associated with improved walking speed.
OBJECTIVE: The purpose of this study was to identify gait parameters associated with improved walking speed after a locomotor training program that included body-weight-supported treadmill training (BWSTT).
DESIGN: A prospective, between-subjects design was used.
METHODS: Fifteen people, ranging from approximately 9 months to 5 years after stroke, completed 1 of 3 different 6-week training regimens. These regimens consisted of 12 sessions of BWSTT alternated with 12 sessions of: lower-extremity resistive cycling; lower-extremity progressive, resistive strengthening; or a sham condition of arm ergometry. Gait analysis was conducted before and after the 6-week intervention program. Kinematics, kinetics, and electromyographic (EMG) activity were recorded from the hemiparetic lower extremity while participants walked at a self-selected pace. Changes in gait parameters were compared in participants who showed an increase in self-selected walking speed of greater than 0.08 m/s (high-response group) and in those with less improvement (low-response group).
RESULTS: Compared with participants in the low-response group, those in the high-response group displayed greater increases in terminal stance hip extension angle and hip flexion power (product of net joint moment and angular velocity) after the intervention. The intensity of soleus muscle EMG activity during walking also was significantly higher in participants in the high-response group after the intervention. LIMITATIONS: Only sagittal-plane parameters were assessed, and the sample size was small.
CONCLUSIONS: Task-specific locomotor training alternated with strength training resulted in kinematic, kinetic, and muscle activation adaptations that were strongly associated with improved walking speed. Changes in both hip and ankle biomechanics during late stance were associated with greater increases in gait speed.

Entities:  

Mesh:

Year:  2009        PMID: 20022996     DOI: 10.2522/ptj.20090141

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  26 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

2.  Minimal detectable change for gait variables collected during treadmill walking in individuals post-stroke.

Authors:  Trisha M Kesar; Stuart A Binder-Macleod; Gregory E Hicks; Darcy S Reisman
Journal:  Gait Posture       Date:  2010-12-22       Impact factor: 2.840

3.  Influence of systematic increases in treadmill walking speed on gait kinematics after stroke.

Authors:  Christine M Tyrell; Margaret A Roos; Katherine S Rudolph; Darcy S Reisman
Journal:  Phys Ther       Date:  2011-01-20

4.  Measuring Changes in Gait and Vehicle Transfer Ability During Inpatient Rehabilitation with Wearable Inertial Sensors.

Authors:  Vladimir Borisov; Gina Sprint; Diane J Cook; Douglas L Weeks
Journal:  Proc IEEE Int Conf Pervasive Comput Commun Workshops       Date:  2017-05-04

5.  Comparison of the Immediate Effects of Audio, Visual, or Audiovisual Gait Biofeedback on Propulsive Force Generation in Able-Bodied and Post-stroke Individuals.

Authors:  Justin Liu; Hyun Bin Kim; Steven L Wolf; Trisha M Kesar
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-09

6.  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

Review 7.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

8.  Biomechanical variables related to walking performance 6-months following post-stroke rehabilitation.

Authors:  A L Hall; M G Bowden; S A Kautz; R R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-08-20       Impact factor: 2.063

9.  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

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

Authors:  HaoYuan Hsiao; Brian A Knarr; Ryan T Pohlig; Jill S Higginson; Stuart A Binder-Macleod
Journal:  J Biomech       Date:  2015-12-31       Impact factor: 2.712

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