Literature DB >> 24252934

The effects of body weight support treadmill training with power-assisted functional electrical stimulation on functional movement and gait in stroke patients.

Hwang-Jae Lee1, Ki-Hun Cho, Wan-Hee Lee.   

Abstract

OBJECTIVE: The aim of the current study was to examine the effect of body weight support treadmill training (BWSTT) with power-assisted functional electrical stimulation on functional movement and gait in stroke patients.
DESIGN: Thirty stroke patients were randomly assigned to either the experimental group (n = 15) or the control group (n = 15). All subjects participated in the same standard rehabilitation program. In addition, the experimental group participated in BWSTT with power-assisted functional electrical stimulation for 30 mins per day, five times a week, for 4 wks, and those in the control group participated in BWSTT for 30 minutes per day, five times a week, for 4 wks. Functional movement was assessed using the Berg Balance Scale, the Timed Up and Go test, and the Stroke Rehabilitation Assessment of Movement. Gait ability was assessed using an electrical walkway system.
RESULTS: Significant differences in the time factor for functional movement and gait (P < 0.05) were observed in the experimental and control groups. For the group × time interaction, significant improvements were observed in the functional movement (Berg Balance Scale [10.93 vs. 6.00], Timed Up and Go test [-9.25 vs. -5.25 secs], and Stroke Rehabilitation Assessment of Movement scores [14.07 vs. 9.80]) and gait (velocity [40.07 vs. 18.64 cm/sec], cadence [30.57 vs. 17.75 steps per minute], paretic side step length [19.36 vs. 8.46 cm], and stride length [30.57 vs. 12.71 cm]) (P < 0.05).
CONCLUSIONS: The findings of the current study demonstrated the efficacy of BWSTT with power-assisted functional electrical stimulation on the functional movement and gait ability in stroke patients. Therefore, the authors suggest that power-assisted functional electrical stimulation may be an effective method for the improvement of functional movement and gait ability of stroke patients when added to BWSTT.

Entities:  

Mesh:

Year:  2013        PMID: 24252934     DOI: 10.1097/PHM.0000000000000040

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  13 in total

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

2.  Reducing The Cost of Transport and Increasing Walking Distance After Stroke: A Randomized Controlled Trial on Fast Locomotor Training Combined With Functional Electrical Stimulation.

Authors:  Louis N Awad; Darcy S Reisman; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  Neurorehabil Neural Repair       Date:  2015-11-30       Impact factor: 3.919

3.  Contributions to muscle force and EMG by combined neural excitation and electrical stimulation.

Authors:  Patrick E Crago; Nathaniel S Makowski; Natalie M Cole
Journal:  J Neural Eng       Date:  2014-09-22       Impact factor: 5.379

Review 4.  Neuromuscular Electrical Stimulation for Motor Restoration in Hemiplegia.

Authors:  Jayme S Knutson; Michael J Fu; Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2015-08-14       Impact factor: 1.784

5.  The effects of body weight-supported treadmill training on static and dynamic balance in stroke patients: A pilot, single-blind, randomized trial.

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Journal:  Turk J Phys Med Rehabil       Date:  2018-08-15

Review 6.  Treadmill training and body weight support for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2017-08-17

Review 7.  Nervous system modulation through electrical stimulation in companion animals.

Authors:  Ângela Martins; Débora Gouveia; Ana Cardoso; Óscar Gamboa; Darryl Millis; António Ferreira
Journal:  Acta Vet Scand       Date:  2021-05-30       Impact factor: 1.695

8.  The effectiveness of functional electrical stimulation based on a normal gait pattern on subjects with early stroke: a randomized controlled trial.

Authors:  Zhimei Tan; Huihua Liu; Tiebin Yan; Dongmei Jin; Xiaokuo He; Xiuyuan Zheng; Shuwei Xu; Chunmei Tan
Journal:  Biomed Res Int       Date:  2014-07-10       Impact factor: 3.411

9.  Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

Authors:  Andrew J Meyer; Ilan Eskinazi; Jennifer N Jackson; Anil V Rao; Carolynn Patten; Benjamin J Fregly
Journal:  Front Bioeng Biotechnol       Date:  2016-10-13

10.  Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.

Authors:  Su-Hyun Lee; Hwang-Jae Lee; Won Hyuk Chang; Byung-Ok Choi; Jusuk Lee; Jeonghun Kim; Gyu-Ha Ryu; Yun-Hee Kim
Journal:  J Neuroeng Rehabil       Date:  2017-11-28       Impact factor: 4.262

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