Literature DB >> 23085703

The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury.

Alberto Esquenazi1, Mukul Talaty, Andrew Packel, Michael Saulino.   

Abstract

OBJECTIVE: The aim of this study was to assess the safety and performance of ReWalk in enabling people with paraplegia due to spinal cord injury to carry out routine ambulatory functions.
DESIGN: This was an open, noncomparative, nonrandomized study of the safety and performance of the ReWalk powered exoskeleton. All 12 subjects have completed the active intervention; three remain in long-term follow-up.
RESULTS: After training, all subjects were able to independently transfer and walk, without human assistance while using the ReWalk, for at least 50 to 100 m continuously, for a period of at least 5 to 10 mins continuously and with velocities ranging from 0.03 to 0.45 m/sec (mean, 0.25 m/sec). Excluding two subjects with considerably reduced walking abilities, average distances and velocities improved significantly. Some subjects reported improvements in pain, bowel and bladder function, and spasticity during the trial. All subjects had strong positive comments regarding the emotional/psychosocial benefits of the use of ReWalk.
CONCLUSIONS: ReWalk holds considerable potential as a safe ambulatory powered orthosis for motor-complete thoracic-level spinal cord injury patients. Most subjects achieved a level of walking proficiency close to that needed for limited community ambulation. A high degree of performance variability was observed across individuals. Some of this variability was explained by level of injury, but other factors have not been completely identified. Further development and application of this rehabilitation tool to other diagnoses are expected in the future.

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Year:  2012        PMID: 23085703     DOI: 10.1097/PHM.0b013e318269d9a3

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


  124 in total

1.  Characterization of unexpected postural changes during robot-assisted gait training in paraplegic patients.

Authors:  S Koyama; S Tanabe; E Saitoh; S Hirano; Y Shimizu; M Katoh; A Uno; T Takemitsu
Journal:  Spinal Cord       Date:  2015-08-11       Impact factor: 2.772

Review 2.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

Review 3.  The influence of orthosis options on walking parameters in spinal cord-injured patients: a literature review.

Authors:  M Arazpour; M Samadian; K Ebrahimzadeh; M Ahmadi Bani; S W Hutchins
Journal:  Spinal Cord       Date:  2016-02-09       Impact factor: 2.772

4.  Technology: Mobility machines.

Authors:  Peter Gwynne
Journal:  Nature       Date:  2013-11-14       Impact factor: 49.962

5.  The effects of robot assisted gait training on temporal-spatial characteristics of people with spinal cord injuries: A systematic review.

Authors:  Stephen Clive Hayes; Christopher Richard James Wilcox; Hollie Samantha Forbes White; Natalie Vanicek
Journal:  J Spinal Cord Med       Date:  2018-02-05       Impact factor: 1.985

6.  "Back at the same level as everyone else"-user perspectives on walking with an exoskeleton, a qualitative study.

Authors:  Gunn-Kristin Knudsen Thomassen; Vivien Jørgensen; Britt Normann
Journal:  Spinal Cord Ser Cases       Date:  2019-12-13

7.  Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis.

Authors:  Nicholas A Kirsch; Xuefeng Bao; Naji A Alibeji; Brad E Dicianno; Nitin Sharma
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-09-22       Impact factor: 3.802

8.  Comparison of energy efficiency between Wearable Power-Assist Locomotor (WPAL) and two types of knee-ankle-foot orthoses with a medial single hip joint (MSH-KAFO).

Authors:  Kanan Yatsuya; Satoshi Hirano; Eiichi Saitoh; Shigeo Tanabe; Hirotaka Tanaka; Masayuki Eguchi; Masaki Katoh; Yasuhiro Shimizu; Akito Uno; Hitoshi Kagaya
Journal:  J Spinal Cord Med       Date:  2016-10-17       Impact factor: 1.985

9.  Model Predictive Control of a Feedback-Linearized Hybrid Neuroprosthetic System With a Barrier Penalty.

Authors:  Xuefeng Bao; Nicholas Kirsch; Albert Dodson; Nitin Sharma
Journal:  J Comput Nonlinear Dyn       Date:  2019-09-09

10.  Examining the Effects of a Powered Exoskeleton on Quality of Life and Secondary Impairments in People Living With Spinal Cord Injury.

Authors:  Michael Juszczak; Estelle Gallo; Tamara Bushnik
Journal:  Top Spinal Cord Inj Rehabil       Date:  2018-08-07
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