Literature DB >> 17312094

Concepts of motor learning applied to a rehabilitation protocol using biofeedback to improve gait in a chronic stroke patient: an A-B system study with multiple gait analyses.

Johanna Jonsdottir1, Davide Cattaneo, Alberto Regola, Alessandro Crippa, Mauro Recalcati, Marco Rabuffetti, Maurizio Ferrarin, Anna Casiraghi.   

Abstract

OBJECTIVE: The impact of electromyographic biofeedback (EMG BFB) applied during functional gait activities and employed in accord with theories on motor learning was investigated in a chronic hemiplegic patient.
METHODS: A single-subject A-B design was used. EMG BFB was applied to the triceps surae during gait. A rehabilitation program with a fading frequency of BFB application and an increasing variability in the task training was implemented. Responses to the rehabilitation program were documented via multiple quantitative gait analyses, performed during a baseline, treatment, and at follow-up 6 weeks after the end of treatment.
RESULTS: From baseline to end of treatment, there were significant changes in ankle power at push-off, both in amplitude and timing, as well as onset of ankle power at push-off relative to heel strike of the healthy leg. There was a significant increase in gait velocity, step length of the healthy side, stride length, and stride frequency. At follow-up, changes were still significantly different from baseline and the patient had reduced the use of the cane in activities of daily living.
CONCLUSIONS: BFB appears to have been effective in promoting positive changes in gait in this pilot study. The rehabilitation protocol also appeared to be effective in promoting learning and the incorporation of trained activities into daily activities.

Entities:  

Mesh:

Year:  2007        PMID: 17312094     DOI: 10.1177/1545968306290823

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  8 in total

1.  Intersegmental coordination scales with gait speed similarly in men and women.

Authors:  John W Chow; Dobrivoje S Stokic
Journal:  Exp Brain Res       Date:  2015-07-21       Impact factor: 1.972

2.  Auditory sEMG biofeedback for reducing muscle co-contraction during pedaling.

Authors:  Benio Kibushi; Junichi Okada
Journal:  Physiol Rep       Date:  2022-05

3.  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

Review 4.  Progressive Staging of Pilot Studies to Improve Phase III Trials for Motor Interventions.

Authors:  Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2009 Mar-Apr       Impact factor: 3.919

5.  A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study.

Authors:  Kota Z Takahashi; Michael D Lewek; Gregory S Sawicki
Journal:  J Neuroeng Rehabil       Date:  2015-02-25       Impact factor: 4.262

6.  Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study.

Authors:  Silvia Del Din; Alessandra Bertoldo; Zimi Sawacha; Johanna Jonsdottir; Marco Rabuffetti; Claudio Cobelli; Maurizio Ferrarin
Journal:  J Neuroeng Rehabil       Date:  2014-04-09       Impact factor: 4.262

7.  Repurposing an EMG Biofeedback Device for Gait Rehabilitation: Development, Validity and Reliability.

Authors:  Reza Koiler; Elham Bakhshipour; Joseph Glutting; Amy Lalime; Dexter Kofa; Nancy Getchell
Journal:  Int J Environ Res Public Health       Date:  2021-06-15       Impact factor: 3.390

Review 8.  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

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.