Literature DB >> 20053951

Task-oriented biofeedback to improve gait in individuals with chronic stroke: motor learning approach.

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

Abstract

BACKGROUND: Electromyographic biofeedback (EMG-BFB) has shown equivocal benefits on gait retraining after stroke.
OBJECTIVE: The authors evaluated the efficacy of EMG-BFB applied in a task-oriented approach based on principles of motor learning to increase peak ankle power of the affected leg and gait velocity in patients with chronic mild to moderate hemiparesis.
METHODS: They assigned 20 participants randomly to the EMG-BFB group or a control group that received conventional therapy for the same duration. Quantitative gait analysis was performed before and after treatment. The EMG-BFB involved the triceps surae during functional gait activities. Treatment was administered with a fading frequency of BFB application and an increasing variability in gait activities. Both groups had 20 treatment sessions of 45 minutes each, including at least 15 minutes of walking-related therapy for the control group. Follow-up (FU) gait analysis was obtained 6 weeks after training.
RESULTS: BFB treatment led to significant increases (P < .01) in peak ankle power at push-off (from 0.63 W/kg to 1.04 W/kg) in conjunction with significant increases in velocity (from 28.3 %h/s--normalized to percentage height per second--to 39.6 %h/s) and stride length (from 44.5 %h--normalized to percentage height--to 57.6 %h). Increases remained significant at FU. There were no changes in any gait variable in the control group.
CONCLUSION: A task-oriented BFB treatment was effective in increasing peak ankle power, gait velocity, and stride length in a population with hemiparesis. Further studies should compare the combination intervention with either of its components in more impaired patients.

Entities:  

Mesh:

Year:  2010        PMID: 20053951     DOI: 10.1177/1545968309355986

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


  27 in total

Review 1.  A systematic review of mechanisms of gait speed change post-stroke. Part 2: exercise capacity, muscle activation, kinetics, and kinematics.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-20       Impact factor: 2.119

Review 2.  A systematic review of mechanisms of gait speed change post-stroke. Part 1: spatiotemporal parameters and asymmetry ratios.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-21       Impact factor: 2.119

Review 3.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

4.  Interventions to Improve Walking in Older Adults.

Authors:  Jennifer S Brach; Jessie M Vanswearingen
Journal:  Curr Transl Geriatr Exp Gerontol Rep       Date:  2013-12

5.  Surface peroneal nerve stimulation in lower limb hemiparesis: effect on quantitative gait parameters.

Authors:  Lynne R Sheffler; Paul N Taylor; Stephanie Nogan Bailey; Douglas D Gunzler; Jaap H Buurke; Maarten J IJzerman; John Chae
Journal:  Am J Phys Med Rehabil       Date:  2015-05       Impact factor: 2.159

6.  Kinematic Visual Biofeedback Improves Accuracy of Learning a Swallowing Maneuver and Accuracy of Clinician Cues During Training.

Authors:  Alba M Azola; Kirstyn L Sunday; Ianessa A Humbert
Journal:  Dysphagia       Date:  2016-09-28       Impact factor: 3.438

7.  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

8.  Harnessing neuroplasticity for clinical applications.

Authors:  Steven C Cramer; Mriganka Sur; Bruce H Dobkin; Charles O'Brien; Terence D Sanger; John Q Trojanowski; Judith M Rumsey; Ramona Hicks; Judy Cameron; Daofen Chen; Wen G Chen; Leonardo G Cohen; Christopher deCharms; Charles J Duffy; Guinevere F Eden; Eberhard E Fetz; Rosemarie Filart; Michelle Freund; Steven J Grant; Suzanne Haber; Peter W Kalivas; Bryan Kolb; Arthur F Kramer; Minda Lynch; Helen S Mayberg; Patrick S McQuillen; Ralph Nitkin; Alvaro Pascual-Leone; Patricia Reuter-Lorenz; Nicholas Schiff; Anu Sharma; Lana Shekim; Michael Stryker; Edith V Sullivan; Sophia Vinogradov
Journal:  Brain       Date:  2011-04-10       Impact factor: 13.501

Review 9.  Wearable Devices for Biofeedback Rehabilitation: A Systematic Review and Meta-Analysis to Design Application Rules and Estimate the Effectiveness on Balance and Gait Outcomes in Neurological Diseases.

Authors:  Thomas Bowman; Elisa Gervasoni; Chiara Arienti; Stefano Giuseppe Lazzarini; Stefano Negrini; Simona Crea; Davide Cattaneo; Maria Chiara Carrozza
Journal:  Sensors (Basel)       Date:  2021-05-15       Impact factor: 3.576

10.  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

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