Literature DB >> 9549021

Electromyographic biofeedback for gait training after stroke.

L Bradley1, B B Hart, S Mandana, K Flowers, M Riches, P Sanderson.   

Abstract

OBJECTIVE: To examine the effects of electromyographic (EMG) biofeedback training on the recovery of gait in the acute phase post stroke.
DESIGN: Patients were randomly assigned to EMG biofeedback or control groups. They received treatment three times a week for six weeks. All patients were assessed prior to treatment, after 18 treatment sessions, and at three months follow-up.
SETTING: The study was carried out at Scunthorpe General Hospital in North Lincolnshire. The subjects were acute stroke patients who had been admitted on to the medical and elderly wards.
INTERVENTIONS: The EMG biofeedback group were treated using EMG as an adjunct to physiotherapy. The patients were encouraged to facilitate or inhibit abnormal muscle tone via auditory or visual signals transmitted from electrodes placed over the appropriate muscles. The control group were treated using the same techniques, electrodes were used with this group of patients, but the EMG machine was turned off and faced away from the patient and the therapist to control the placebo effect. OUTCOME MEASURES: A large battery of outcome measures was used for physical and psychological assessment. The physical measures consisted of active movement, muscle tone, sensation, proprioception, mobility and activities of daily living (ADL). The psychological measures included orientation, memory, spatial performance, language and IQ.
RESULTS: Twenty-one patients were included in the study. Scores were combined into four groups: mild EMG, severe EMG, mild control and severe control. Results showed that there was an improvement in physical scores for active movement, mobility and ADL over time, but there was no significant difference between the EMG and control groups. Scores on the psychological tests were within normal limits, and there was no difference in performance between the EMG and control groups.
CONCLUSIONS: This study showed no significant differences in the rate of improvement after stroke between the two groups. Although EMG biofeedback was used as an adjunct to physiotherapy and represented clinical practice, the results provide little evidence to support the clinical significance of using EMG biofeedback to improve gait in the acute phase after stroke.

Entities:  

Mesh:

Year:  1998        PMID: 9549021     DOI: 10.1191/026921598677671932

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  14 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.  Microprocessor-based gait analysis system to retrain Trendelenburg gait.

Authors:  J S Petrofsky
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

3.  Non-pharmacological interventions for the improvement of post-stroke activities of daily living and disability amongst older stroke survivors: A systematic review.

Authors:  Carrie Stewart; Selvarani Subbarayan; Pamela Paton; Elliot Gemmell; Iosief Abraha; Phyo Kyaw Myint; Denis O'Mahony; Alfonso J Cruz-Jentoft; Antonio Cherubini; Roy L Soiza
Journal:  PLoS One       Date:  2018-10-04       Impact factor: 3.240

Review 4.  Biofeedback for training balance and mobility tasks in older populations: a systematic review.

Authors:  Agnes Zijlstra; Martina Mancini; Lorenzo Chiari; Wiebren Zijlstra
Journal:  J Neuroeng Rehabil       Date:  2010-12-09       Impact factor: 4.262

Review 5.  What is the evidence for physical therapy poststroke? A systematic review and meta-analysis.

Authors:  Janne Marieke Veerbeek; Erwin van Wegen; Roland van Peppen; Philip Jan van der Wees; Erik Hendriks; Marc Rietberg; Gert Kwakkel
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

Review 6.  The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review.

Authors:  Lauren Powell; Jack Parker; Marrissa Martyn St-James; Susan Mawson
Journal:  J Med Internet Res       Date:  2016-10-07       Impact factor: 5.428

7.  Effect of motor imagery training and electromyogram-triggered neuromuscular electrical stimulation on lower extremity function in stroke patients: a pilot trial.

Authors:  Ji-Hoon Kim; Young-Seok Cho; Ji-Su Park; Won-Jin Kim
Journal:  J Phys Ther Sci       Date:  2017-11-24

Review 8.  EMG biofeedback for the recovery of motor function after stroke.

Authors:  H Woodford; C Price
Journal:  Cochrane Database Syst Rev       Date:  2007-04-18

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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