Literature DB >> 24440365

Robotic resistance/assistance training improves locomotor function in individuals poststroke: a randomized controlled study.

Ming Wu1, Jill M Landry2, Janis Kim2, Brian D Schmit3, Sheng-Che Yen2, Jillian Macdonald2.   

Abstract

OBJECTIVE: To determine whether providing a controlled resistance versus assistance to the paretic leg at the ankle during treadmill training will improve walking function in individuals poststroke.
DESIGN: Repeated assessment of the same patients with parallel design and randomized controlled study between 2 groups.
SETTING: Research units of rehabilitation hospitals. PARTICIPANTS: Patients (N=30) with chronic stroke. INTERVENTION: Subjects were stratified based on self-selected walking speed and were randomly assigned to the resistance or assistance training group. For the resistance group, a controlled resistance load was applied to the paretic leg at the ankle to resist leg swing during treadmill walking. For the assistance group, a load that assists swing was applied. MAIN OUTCOME MEASURES: Primary outcome measures were walking speed and 6-minute walking distance. Secondary measures included clinical assessments of balance, muscle tone, and quality of life. Outcome measures were evaluated before and after 6 weeks of training and at 8 weeks' follow-up, and compared within group and between the 2 groups.
RESULTS: After 6 weeks of robotic training, walking speed significantly increased for both groups, with no significant differences in walking speed gains observed between the 2 groups. In addition, 6-minute walking distance and balance significantly improved for the assistance group but not for the resistance group.
CONCLUSIONS: Applying a controlled resistance or an assistance load to the paretic leg during treadmill training may induce improvements in walking speed in individuals poststroke. Resistance training was not superior to assistance training in improving locomotor function in individuals poststroke.
Copyright © 2014 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gait; Hemiplegia; Recovery of function; Rehabilitation; Robotics; Walking

Mesh:

Year:  2014        PMID: 24440365      PMCID: PMC4076161          DOI: 10.1016/j.apmr.2013.12.021

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


  35 in total

1.  Walking speed over 10 metres overestimates locomotor capacity after stroke.

Authors:  C M Dean; C L Richards; F Malouin
Journal:  Clin Rehabil       Date:  2001-08       Impact factor: 3.477

2.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
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3.  Motor learning elicited by voluntary drive.

Authors:  Martin Lotze; Christoph Braun; Niels Birbaumer; Silke Anders; Leonardo G Cohen
Journal:  Brain       Date:  2003-04       Impact factor: 13.501

4.  Treadmill training of paraplegic patients using a robotic orthosis.

Authors:  G Colombo; M Joerg; R Schreier; V Dietz
Journal:  J Rehabil Res Dev       Date:  2000 Nov-Dec

5.  Speed-dependent treadmill training in ambulatory hemiparetic stroke patients: a randomized controlled trial.

Authors:  Marcus Pohl; Jan Mehrholz; Claudia Ritschel; Stefan Rückriem
Journal:  Stroke       Date:  2002-02       Impact factor: 7.914

6.  Locomotor adaptation to resistance during treadmill training transfers to overground walking in human SCI.

Authors:  Sheng-Che Yen; Brian D Schmit; Jill M Landry; Heidi Roth; Ming Wu
Journal:  Exp Brain Res       Date:  2011-11-23       Impact factor: 1.972

7.  Partial body weight treadmill training in persons with chronic stroke.

Authors:  P R Trueblood
Journal:  NeuroRehabilitation       Date:  2001       Impact factor: 2.138

8.  Step training with body weight support: effect of treadmill speed and practice paradigms on poststroke locomotor recovery.

Authors:  Katherine J Sullivan; Barbara J Knowlton; Bruce H Dobkin
Journal:  Arch Phys Med Rehabil       Date:  2002-05       Impact factor: 3.966

9.  Analysis of impairments influencing gait velocity and asymmetry of hemiplegic patients after mild to moderate stroke.

Authors:  An-Lun Hsu; Pei-Fang Tang; Mei-Hwa Jan
Journal:  Arch Phys Med Rehabil       Date:  2003-08       Impact factor: 3.966

10.  Interrater reliability of a modified Ashworth scale of muscle spasticity.

Authors:  R W Bohannon; M B Smith
Journal:  Phys Ther       Date:  1987-02
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  13 in total

1.  A wearable resistive robot facilitates locomotor adaptations during gait.

Authors:  Edward P Washabaugh; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

2.  Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

Authors:  Sheng-Che Yen; Brian D Schmit; Ming Wu
Journal:  Hum Mov Sci       Date:  2015-06-10       Impact factor: 2.161

3.  Robotic Resistance Treadmill Training Improves Locomotor Function in Children With Cerebral Palsy: A Randomized Controlled Pilot Study.

Authors:  Ming Wu; Janis Kim; Deborah J Gaebler-Spira; Brian D Schmit; Pooja Arora
Journal:  Arch Phys Med Rehabil       Date:  2017-05-30       Impact factor: 3.966

Review 4.  Stroke Rehabilitation Using Virtual Environments.

Authors:  Michael J Fu; Jayme S Knutson; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2015-08-01       Impact factor: 1.784

5.  A Novel Application of Eddy Current Braking for Functional Strength Training During Gait.

Authors:  Edward P Washabaugh; Edward S Claflin; R Brent Gillespie; Chandramouli Krishnan
Journal:  Ann Biomed Eng       Date:  2016-01-27       Impact factor: 3.934

6.  Hybrid assistive limb (HAL) treatment for patients with severe thoracic myelopathy due to ossification of the posterior longitudinal ligament (OPLL) in the postoperative acute/subacute phase: A clinical trial.

Authors:  Shigeki Kubota; Tetsuya Abe; Hideki Kadone; Yukiyo Shimizu; Toru Funayama; Hiroki Watanabe; Aiki Marushima; Masao Koda; Yasushi Hada; Yoshiyuki Sankai; Masashi Yamazaki
Journal:  J Spinal Cord Med       Date:  2018-10-18       Impact factor: 1.985

Review 7.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Cordula Werner; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2017-05-10

8.  Motor slacking during resisted treadmill walking: Can visual feedback of kinematics reduce this behavior?

Authors:  Edward P Washabaugh; Luis H Cubillos; Alexandra C Nelson; Belinda T Cargile; Edward S Claflin; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2021-09-20       Impact factor: 2.746

Review 9.  The effect of 'device-in-charge' versus 'patient-in-charge' support during robotic gait training on walking ability and balance in chronic stroke survivors: A systematic review.

Authors:  Juliet Am Haarman; Jasper Reenalda; Jaap H Buurke; Herman van der Kooij; Johan S Rietman
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-29

10.  Electromechanical-assisted training for walking after stroke.

Authors:  Jan Mehrholz; Simone Thomas; Joachim Kugler; Marcus Pohl; Bernhard Elsner
Journal:  Cochrane Database Syst Rev       Date:  2020-10-22
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