Literature DB >> 8215864

Feedback of ankle joint angle and soleus electromyography in the rehabilitation of hemiplegic gait.

G R Colborne1, S J Olney, M P Griffin.   

Abstract

A computer-assisted feedback system was developed to present to walking subjects instantaneous feedback of their muscle activity or joint angular excursions during gait. Targets for muscle activity or joint motion were displayed on the feedback screen along with timing cues that prompted muscle activity or joint flexion/extension at specific times during the gait cycle. The purpose was to compare the effectiveness of joint angle and electromyographic (EMG) feedback to a focused program of physical therapy for gait. Eight hemiplegic stroke patients were treated with ankle joint angle feedback, EMG biofeedback from the soleus muscle, and conventional physical therapy for gait in a three-period crossover design. PT was given either first or last in the sequence of treatments. Gait analysis prior to and following each type of treatment revealed that the feedback treatments resulted in significant increases in stride length and walking velocity and in positive changes in push-off impulse, gait symmetry, and standing weight-bearing symmetry, as evaluated in a general linear model and paired t-tests. Overall, physical therapy produced no significant changes. However, when physical therapy was the first treatment of the sequence, significant increases in stride length and velocity were observed. When physical therapy was last, there were significant negative changes in gait symmetry and standing weight-bearing symmetry, and negative trends in stride length, walking velocity, and push-off impulse. It is concluded that computer-assisted feedback is an effective tool for retraining gait in stroke patients.

Entities:  

Mesh:

Year:  1993        PMID: 8215864     DOI: 10.1016/0003-9993(93)90069-m

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  13 in total

1.  Recent developments in biofeedback for neuromotor rehabilitation.

Authors:  He Huang; Steven L Wolf; Jiping He
Journal:  J Neuroeng Rehabil       Date:  2006-06-21       Impact factor: 4.262

2.  Biomechanical effects of augmented ankle power output during human walking.

Authors:  Sarah N Fickey; Michael G Browne; Jason R Franz
Journal:  J Exp Biol       Date:  2018-11-16       Impact factor: 3.312

3.  Translating concepts of neural repair after stroke: Structural and functional targets for recovery.

Authors:  Robert W Regenhardt; Hajime Takase; Eng H Lo; David J Lin
Journal:  Restor Neurol Neurosci       Date:  2020       Impact factor: 2.406

4.  Robot-assisted modifications of gait in healthy individuals.

Authors:  Seok Hun Kim; Sai K Banala; Elizabeth A Brackbill; Sunil K Agrawal; Vijaya Krishnamoorthy; John P Scholz
Journal:  Exp Brain Res       Date:  2010-02-26       Impact factor: 1.972

Review 5.  Gait Retraining: Altering the Fingerprint of Gait.

Authors:  Irene S Davis; Erin Futrell
Journal:  Phys Med Rehabil Clin N Am       Date:  2016-02       Impact factor: 1.784

6.  A Dual-Learning Paradigm Simultaneously Improves Multiple Features of Gait Post-Stroke.

Authors:  Kendra M Cherry-Allen; Matthew A Statton; Pablo A Celnik; Amy J Bastian
Journal:  Neurorehabil Neural Repair       Date:  2018-08-07       Impact factor: 3.919

7.  Biofeedback for robotic gait rehabilitation.

Authors:  Lars Lünenburger; Gery Colombo; Robert Riener
Journal:  J Neuroeng Rehabil       Date:  2007-01-23       Impact factor: 4.262

8.  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

9.  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 10.  Biofeedback in rehabilitation.

Authors:  Oonagh M Giggins; Ulrik McCarthy Persson; Brian Caulfield
Journal:  J Neuroeng Rehabil       Date:  2013-06-18       Impact factor: 4.262

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