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Parallel Robot for Lower Limb Rehabilitation Exercises

The aim of this study is to investigate the capability of a 6-DoF parallel robot to perform various rehabilitation exercises. The foot trajectories of twenty healthy participants have been measured by a Vicon system during the performing of four different exercises. Based on the kinematics and dynam...

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Detalles Bibliográficos
Autores principales: Rastegarpanah, Alireza, Saadat, Mozafar, Borboni, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070424/
https://www.ncbi.nlm.nih.gov/pubmed/27799727
http://dx.doi.org/10.1155/2016/8584735
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author Rastegarpanah, Alireza
Saadat, Mozafar
Borboni, Alberto
author_facet Rastegarpanah, Alireza
Saadat, Mozafar
Borboni, Alberto
author_sort Rastegarpanah, Alireza
collection PubMed
description The aim of this study is to investigate the capability of a 6-DoF parallel robot to perform various rehabilitation exercises. The foot trajectories of twenty healthy participants have been measured by a Vicon system during the performing of four different exercises. Based on the kinematics and dynamics of a parallel robot, a MATLAB program was developed in order to calculate the length of the actuators, the actuators' forces, workspace, and singularity locus of the robot during the performing of the exercises. The calculated length of the actuators and the actuators' forces were used by motion analysis in SolidWorks in order to simulate different foot trajectories by the CAD model of the robot. A physical parallel robot prototype was built in order to simulate and execute the foot trajectories of the participants. Kinect camera was used to track the motion of the leg's model placed on the robot. The results demonstrate the robot's capability to perform a full range of various rehabilitation exercises.
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spelling pubmed-50704242016-10-31 Parallel Robot for Lower Limb Rehabilitation Exercises Rastegarpanah, Alireza Saadat, Mozafar Borboni, Alberto Appl Bionics Biomech Research Article The aim of this study is to investigate the capability of a 6-DoF parallel robot to perform various rehabilitation exercises. The foot trajectories of twenty healthy participants have been measured by a Vicon system during the performing of four different exercises. Based on the kinematics and dynamics of a parallel robot, a MATLAB program was developed in order to calculate the length of the actuators, the actuators' forces, workspace, and singularity locus of the robot during the performing of the exercises. The calculated length of the actuators and the actuators' forces were used by motion analysis in SolidWorks in order to simulate different foot trajectories by the CAD model of the robot. A physical parallel robot prototype was built in order to simulate and execute the foot trajectories of the participants. Kinect camera was used to track the motion of the leg's model placed on the robot. The results demonstrate the robot's capability to perform a full range of various rehabilitation exercises. Hindawi Publishing Corporation 2016 2016-10-05 /pmc/articles/PMC5070424/ /pubmed/27799727 http://dx.doi.org/10.1155/2016/8584735 Text en Copyright © 2016 Alireza Rastegarpanah et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rastegarpanah, Alireza
Saadat, Mozafar
Borboni, Alberto
Parallel Robot for Lower Limb Rehabilitation Exercises
title Parallel Robot for Lower Limb Rehabilitation Exercises
title_full Parallel Robot for Lower Limb Rehabilitation Exercises
title_fullStr Parallel Robot for Lower Limb Rehabilitation Exercises
title_full_unstemmed Parallel Robot for Lower Limb Rehabilitation Exercises
title_short Parallel Robot for Lower Limb Rehabilitation Exercises
title_sort parallel robot for lower limb rehabilitation exercises
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5070424/
https://www.ncbi.nlm.nih.gov/pubmed/27799727
http://dx.doi.org/10.1155/2016/8584735
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