Cargando…

Lower Limb Rehabilitation Using Patient Data

The aim of this study is to investigate the performance of a 6-DoF parallel robot in tracking the movement of the foot trajectory of a paretic leg during a single stride. The foot trajectories of nine patients with a paretic leg including both males and females have been measured and analysed by a V...

Descripción completa

Detalles Bibliográficos
Autores principales: Rastegarpanah, Alireza, Saadat, Mozafar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046099/
https://www.ncbi.nlm.nih.gov/pubmed/27721648
http://dx.doi.org/10.1155/2016/2653915
_version_ 1782457231446376448
author Rastegarpanah, Alireza
Saadat, Mozafar
author_facet Rastegarpanah, Alireza
Saadat, Mozafar
author_sort Rastegarpanah, Alireza
collection PubMed
description The aim of this study is to investigate the performance of a 6-DoF parallel robot in tracking the movement of the foot trajectory of a paretic leg during a single stride. The foot trajectories of nine patients with a paretic leg including both males and females have been measured and analysed by a Vicon system in a gait laboratory. Based on kinematic and dynamic analysis of a 6-DoF UPS parallel robot, an algorithm was developed in MATLAB to calculate the length of the actuators and their required forces during all trajectories. The workspace and singularity points of the robot were then investigated in nine different cases. A 6-DoF UPS parallel robot prototype with high repeatability was designed and built in order to simulate a single stride. Results showed that the robot was capable of tracking all of the trajectories with the maximum position error of 1.2 mm.
format Online
Article
Text
id pubmed-5046099
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-50460992016-10-09 Lower Limb Rehabilitation Using Patient Data Rastegarpanah, Alireza Saadat, Mozafar Appl Bionics Biomech Research Article The aim of this study is to investigate the performance of a 6-DoF parallel robot in tracking the movement of the foot trajectory of a paretic leg during a single stride. The foot trajectories of nine patients with a paretic leg including both males and females have been measured and analysed by a Vicon system in a gait laboratory. Based on kinematic and dynamic analysis of a 6-DoF UPS parallel robot, an algorithm was developed in MATLAB to calculate the length of the actuators and their required forces during all trajectories. The workspace and singularity points of the robot were then investigated in nine different cases. A 6-DoF UPS parallel robot prototype with high repeatability was designed and built in order to simulate a single stride. Results showed that the robot was capable of tracking all of the trajectories with the maximum position error of 1.2 mm. Hindawi Publishing Corporation 2016 2016-09-19 /pmc/articles/PMC5046099/ /pubmed/27721648 http://dx.doi.org/10.1155/2016/2653915 Text en Copyright © 2016 A. Rastegarpanah and M. Saadat. 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
Lower Limb Rehabilitation Using Patient Data
title Lower Limb Rehabilitation Using Patient Data
title_full Lower Limb Rehabilitation Using Patient Data
title_fullStr Lower Limb Rehabilitation Using Patient Data
title_full_unstemmed Lower Limb Rehabilitation Using Patient Data
title_short Lower Limb Rehabilitation Using Patient Data
title_sort lower limb rehabilitation using patient data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5046099/
https://www.ncbi.nlm.nih.gov/pubmed/27721648
http://dx.doi.org/10.1155/2016/2653915
work_keys_str_mv AT rastegarpanahalireza lowerlimbrehabilitationusingpatientdata
AT saadatmozafar lowerlimbrehabilitationusingpatientdata