Literature DB >> 8291961

Feedback of triceps surae EMG in gait of children with cerebral palsy: a controlled study.

G R Colborne1, F V Wright, S Naumann.   

Abstract

Children with spastic hemiplegia secondary to cerebral palsy show disrupted patterns of work and power in gait. A computer-assisted feedback system was used to deliver EMG feedback from the triceps surae muscle group to walking subjects in conjunction with amplitude and timing targets for muscle relaxation and activation. Biofeedback of triceps surae muscle activity during gait was compared with physical therapy (PT) in a two-period crossover design, with intervening biomechanical gait analyses to assess the effects of each type of treatment. Kinematic and kinetic gait variables were affected differently by each type of treatment. Stride length and velocity were positively affected by the biofeedback protocol. Positive work done by the affected ankle increased through PT, but gait symmetry was negatively affected, such that the stance phase was prolonged, and peak ankle power at push-off was not improved. In contrast, the biofeedback treatment improved gait symmetry, and was associated with greater ankle power for push-off, as well as increases in total positive work at the hip and ankle. It is concluded that the feedback protocol might be an effective adjunct to physical therapy in hemiplegic children.

Entities:  

Mesh:

Year:  1994        PMID: 8291961

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


  14 in total

1.  Movement retraining using real-time feedback of performance.

Authors:  Michael Anthony Hunt
Journal:  J Vis Exp       Date:  2013-01-17       Impact factor: 1.355

Review 2.  Relationship between ankle function and walking ability for children and young adults with cerebral palsy: A systematic review of deficits and targeted interventions.

Authors:  Benjamin C Conner; Nushka M Remec; Cassidy M Michaels; Chase W Wallace; Emily Andrisevic; Zachary F Lerner
Journal:  Gait Posture       Date:  2021-10-25       Impact factor: 2.840

Review 3.  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

4.  Adaptive Ankle Resistance from a Wearable Robotic Device to Improve Muscle Recruitment in Cerebral Palsy.

Authors:  Benjamin C Conner; Jason Luque; Zachary F Lerner
Journal:  Ann Biomed Eng       Date:  2020-01-16       Impact factor: 3.934

5.  Improving the Energy Cost of Incline Walking and Stair Ascent With Ankle Exoskeleton Assistance in Cerebral Palsy.

Authors:  Ying Fang; Greg Orekhov; Zachary F Lerner
Journal:  IEEE Trans Biomed Eng       Date:  2022-06-17       Impact factor: 4.756

6.  Biofeedback interventions for people with cerebral palsy: a systematic review protocol.

Authors:  Alexander MacIntosh; Nicolas Vignais; Elaine Biddiss
Journal:  Syst Rev       Date:  2017-01-13

7.  Efficacy of an activity monitor as a biofeedback device in cerebral palsy.

Authors:  Deepak Sharan; Joshua Samuel Rajkumar; Rajarajeshwari Balakrishnan
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-24

8.  The effectiveness and safety of electromyography biofeedback therapy for motor dysfunction of children with cerebral palsy: A protocol for systematic review and meta-analysis.

Authors:  Ming-Xing He; Cong-Jie Lei; Dong-Ling Zhong; Qi-Cen Liu; Hong Zhang; Yi-Jie Huang; Yu-Xi Li; Xiao-Bo Liu; Juan Li; Rong-Jiang Jin; Li Wan
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

Review 9.  Biofeedback in rehabilitation.

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

Review 10.  Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology.

Authors:  Vladimir Medved; Sara Medved; Ida Kovač
Journal:  Front Neurol       Date:  2020-10-26       Impact factor: 4.003

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