Literature DB >> 23200117

A randomized comparative study of manually assisted versus robotic-assisted body weight supported treadmill training in persons with a traumatic brain injury.

Alberto Esquenazi1, Stella Lee, Andrew T Packel, Leonard Braitman.   

Abstract

OBJECTIVES: (1) To compare the effects of robotic-assisted treadmill training (RATT) and manually assisted treadmill training (MATT) in participants with traumatic brain injury (TBI) and (2) to determine the potential impact on the symmetry of temporal walking parameters, 6-minute walk test, and the mobility domain of the Stroke Impact Scale, version 3.0 (SIS).
DESIGN: Randomized prospective study.
SUBJECTS: A total of 16 participants with TBI and a baseline over ground walking self-selected velocity (SSV) of ≥0.2 m/s to 0.6 m/s randomly assigned to either the RATT or MATT group. INTERVENTION: Gait training for 45 minutes, 3 times a week with either RATT or MATT for a total of 18 training sessions. OUTCOME MEASURES: Primary: Overground walking SSV, maximal velocity. Secondary: Spatiotemporal symmetry, 6-minute walk test, and SIS.
RESULTS: Between-group differences were not statistically significant for any measure. However, from pretraining to post-training, the average SSV increased by 49.8% for the RATT group (P = .01) and by 31% for MATT group (P = .06). The average maximal velocity increased by 14.9% for the RATT group (P = .06) and by 30.8% for the MATT group (P = .01). Less staffing and effort was needed for RATT in this study. Step-length asymmetry ratio improved during SSV by 33.1% for the RATT group (P = .01) and by 9.1% for the MATT group (P = .73). The distance walked increased by 11.7% for the robotic group (P = .21) and by 19.3% for manual group (P = .03). A statistically significant improvement in the mobility domain of the SIS was found for both groups (P ≤ .03).
CONCLUSIONS: The results of this study demonstrate greater improvement in symmetry of gait (step length) for RATT and no significant differences between RATT and MATT with regard to improvement in gait velocity, endurance, and SIS. Our study provides evidence that participants with a chronic TBI can experience improvements in gait parameters with gait training with either MATT or RATT.
Copyright © 2013 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23200117     DOI: 10.1016/j.pmrj.2012.10.009

Source DB:  PubMed          Journal:  PM R        ISSN: 1934-1482            Impact factor:   2.298


  10 in total

Review 1.  Rethinking the tools in the toolbox.

Authors:  T George Hornby
Journal:  J Neuroeng Rehabil       Date:  2022-06-20       Impact factor: 5.208

Review 2.  Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

Authors:  Florian van Dellen; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2022-04-22       Impact factor: 5.208

3.  Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Authors:  Hoo Young Lee; Jung Hyun Park; Tae-Woo Kim
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

Review 4.  Fitness training for cardiorespiratory conditioning after traumatic brain injury.

Authors:  Leanne Hassett; Anne M Moseley; Alison R Harmer
Journal:  Cochrane Database Syst Rev       Date:  2017-12-29

5.  Advanced Robotic Therapy Integrated Centers (ARTIC): an international collaboration facilitating the application of rehabilitation technologies.

Authors:  Hubertus J A van Hedel; Giacomo Severini; Alessandra Scarton; Anne O'Brien; Tamsin Reed; Deborah Gaebler-Spira; Tara Egan; Andreas Meyer-Heim; Judith Graser; Karen Chua; Daniel Zutter; Raoul Schweinfurther; J Carsten Möller; Liliana P Paredes; Alberto Esquenazi; Steffen Berweck; Sebastian Schroeder; Birgit Warken; Anne Chan; Amber Devers; Jakub Petioky; Nam-Jong Paik; Won-Seok Kim; Paolo Bonato; Michael Boninger
Journal:  J Neuroeng Rehabil       Date:  2018-04-06       Impact factor: 4.262

Review 6.  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

7.  Predictors of Functional Outcome in a Cohort of Hispanic Patients Using Exoskeleton Rehabilitation for Cerebrovascular Accidents and Traumatic Brain Injury.

Authors:  Lisa R Treviño; Peter Roberge; Michael E Auer; Angela Morales; Annelyn Torres-Reveron
Journal:  Front Neurorobot       Date:  2021-06-10       Impact factor: 2.650

Review 8.  Enhancing rehabilitation and functional recovery after brain and spinal cord trauma with electrical neuromodulation.

Authors:  Anna-Sophie Hofer; Martin E Schwab
Journal:  Curr Opin Neurol       Date:  2019-12       Impact factor: 5.710

9.  Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people.

Authors:  Alisa Berger; Fabian Horst; Fabian Steinberg; Fabian Thomas; Claudia Müller-Eising; Wolfgang I Schöllhorn; Michael Doppelmayr
Journal:  J Neuroeng Rehabil       Date:  2019-12-27       Impact factor: 4.262

10.  An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection.

Authors:  Tao Zhen; Lei Yan; Jian-Lei Kong
Journal:  Int J Environ Res Public Health       Date:  2020-08-05       Impact factor: 3.390

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.