Literature DB >> 25662678

Robot-assisted walking with the Lokomat: the influence of different levels of guidance force on thorax and pelvis kinematics.

Eva Swinnen1, Jean-Pierre Baeyens2, Kristel Knaepen3, Marc Michielsen4, Ron Clijsen5, David Beckwée6, Eric Kerckhofs7.   

Abstract

BACKGROUND: Little attention has been devoted to the thorax and pelvis movements during gait. The aim of this study is to compare differences in the thorax and pelvis kinematics during unassisted walking on a treadmill and during walking with robot assistance (Lokomat-system (Hocoma, Volketswil, Switzerland)).
METHODS: 18 healthy persons walked on a treadmill with and without the Lokomat system at 2kmph. Three different conditions of guidance force (30%, 60% and 100%) were used during robot-assisted treadmill walking (30% body weight support). The maximal movement amplitudes of the thorax and pelvis were measured (Polhemus Liberty™ (Polhemus, Colchester, Vermont, USA) (240/16)). A repeated measurement ANOVA was conducted.
FINDINGS: Robot-assisted treadmill walking with different levels of guidance force showed significantly smaller maximal movement amplitudes for thorax and pelvis, compared to treadmill walking. Only the antero-posterior tilting of the pelvis was significantly increased during robot-assisted treadmill walking compared to treadmill walking. No significant changes of kinematic parameters were found between the different levels of guidance force.
INTERPRETATION: With regard to the thorax and pelvis movements, robot-assisted treadmill walking is significantly different compared to treadmill walking. It can be concluded that when using robot assistance, the thorax is stimulated in a different way than during walking without robot assistance, influencing the balance training during gait.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait; Kinematics; Pelvis; Robot; Thorax

Mesh:

Year:  2015        PMID: 25662678     DOI: 10.1016/j.clinbiomech.2015.01.006

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  6 in total

1.  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

2.  Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

Authors:  Kristel Knaepen; Andreas Mierau; Eva Swinnen; Helio Fernandez Tellez; Marc Michielsen; Eric Kerckhofs; Dirk Lefeber; Romain Meeusen
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

3.  Collaborative robotic biomechanical interactions and gait adjustments in young, non-impaired individuals.

Authors:  Valdeci C Dionisio; David A Brown
Journal:  J Neuroeng Rehabil       Date:  2016-06-16       Impact factor: 4.262

4.  Closed-loop control of trunk posture improves locomotion through the regulation of leg proprioceptive feedback after spinal cord injury.

Authors:  Eduardo Martin Moraud; Joachim von Zitzewitz; Jenifer Miehlbradt; Sophie Wurth; Emanuele Formento; Jack DiGiovanna; Marco Capogrosso; Grégoire Courtine; Silvestro Micera
Journal:  Sci Rep       Date:  2018-01-08       Impact factor: 4.379

5.  The FreeD module for the Lokomat facilitates a physiological movement pattern in healthy people - a proof of concept study.

Authors:  Tabea Aurich-Schuler; Anja Gut; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2019-02-06       Impact factor: 4.262

6.  Different Effects of Robot-Assisted Gait and Independent Over-Ground Gait on Foot Plantar Pressure in Incomplete Spinal Cord Injury: A Preliminary Study.

Authors:  Young-Hyeon Bae; Won Hyuk Chang; Shirley S M Fong
Journal:  Int J Environ Res Public Health       Date:  2021-11-17       Impact factor: 3.390

  6 in total

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