Literature DB >> 24187286

Differentiating ability in users of the ReWalk(TM) powered exoskeleton: an analysis of walking kinematics.

Mukul Talaty, Alberto Esquenazi, Jorge E Briceno.   

Abstract

The ReWalk(TM) powered exoskeleton assists thoracic level motor complete spinal cord injury patients who are paralyzed to walk again with an independent, functional, upright, reciprocating gait. We completed an evaluation of twelve such individuals with promising results. All subjects met basic criteria to be able to use the ReWalk(TM)--including items such as sufficient bone mineral density, leg passive range of motion, strength, body size and weight limits. All subjects received approximately the same number of training sessions. However there was a wide distribution in walking ability. Walking velocities ranged from under 0.1m/s to approximately 0.5m/s. This variability was not completely explained by injury level The remaining sources of that variability are not clear at present. This paper reports our preliminary analysis into how the walking kinematics differed across the subjects--as a first step to understand the possible contribution to the velocity range and determine if the subjects who did not walk as well could be taught to improve by mimicking the better walkers.

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Year:  2013        PMID: 24187286     DOI: 10.1109/ICORR.2013.6650469

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  20 in total

1.  Experimental Implementation of Underactuated Potential Energy Shaping on a Powered Ankle-Foot Orthosis.

Authors:  Ge Lv; Hanqi Zhu; Toby Elery; Luwei Li; Robert D Gregg
Journal:  IEEE Int Conf Robot Autom       Date:  2016-05

2.  Neuromechanical adaptations during a robotic powered exoskeleton assisted walking session.

Authors:  Arvind Ramanujam; Christopher M Cirnigliaro; Erica Garbarini; Pierre Asselin; Rakesh Pilkar; Gail F Forrest
Journal:  J Spinal Cord Med       Date:  2017-04-20       Impact factor: 1.985

Review 3.  [Exoskeletons for rehabilitation of patients with spinal cord injuries. Options and limitations].

Authors:  M Aach; R C Meindl; J Geßmann; T A Schildhauer; M Citak; O Cruciger
Journal:  Unfallchirurg       Date:  2015-02       Impact factor: 1.000

4.  Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study.

Authors:  Luca Lonini; Nicholas Shawen; Kathleen Scanlan; William Z Rymer; Konrad P Kording; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2016-03-31       Impact factor: 4.262

5.  Detecting self-paced walking intention based on fNIRS technology for the development of BCI.

Authors:  Chunguang Li; Jiacheng Xu; Yufei Zhu; Shaolong Kuang; Wei Qu; Lining Sun
Journal:  Med Biol Eng Comput       Date:  2020-02-21       Impact factor: 2.602

6.  The Effectiveness and Safety of Exoskeletons as Assistive and Rehabilitation Devices in the Treatment of Neurologic Gait Disorders in Patients with Spinal Cord Injury: A Systematic Review.

Authors:  Christian Fisahn; Mirko Aach; Oliver Jansen; Marc Moisi; Angeli Mayadev; Krystle T Pagarigan; Joseph R Dettori; Thomas A Schildhauer
Journal:  Global Spine J       Date:  2016-11-03

7.  Volition-adaptive control for gait training using wearable exoskeleton: preliminary tests with incomplete spinal cord injury individuals.

Authors:  Vijaykumar Rajasekaran; Eduardo López-Larraz; Fernando Trincado-Alonso; Joan Aranda; Luis Montesano; Antonio J Del-Ama; Jose L Pons
Journal:  J Neuroeng Rehabil       Date:  2018-01-03       Impact factor: 4.262

8.  Overground vs. treadmill-based robotic gait training to improve seated balance in people with motor-complete spinal cord injury: a case report.

Authors:  Amanda E Chisholm; Raed A Alamro; Alison M M Williams; Tania Lam
Journal:  J Neuroeng Rehabil       Date:  2017-04-11       Impact factor: 4.262

Review 9.  Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: systematic review with meta-analysis.

Authors:  Larry E Miller; Angela K Zimmermann; William G Herbert
Journal:  Med Devices (Auckl)       Date:  2016-03-22

10.  Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.

Authors:  Patrizio Sale; Emanuele Francesco Russo; Michele Russo; Stefano Masiero; Francesco Piccione; Rocco Salvatore Calabrò; Serena Filoni
Journal:  BMC Neurol       Date:  2016-01-28       Impact factor: 2.474

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