Lower Limb Rehabilitation Using Patient Data

Joint Authors

Rastegarpanah, Alireza
Saadat, Mozafar

Source

Applied Bionics and Biomechanics

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-09-19

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Biology

Abstract EN

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.

American Psychological Association (APA)

Rastegarpanah, Alireza& Saadat, Mozafar. 2016. Lower Limb Rehabilitation Using Patient Data. Applied Bionics and Biomechanics،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1094808

Modern Language Association (MLA)

Rastegarpanah, Alireza& Saadat, Mozafar. Lower Limb Rehabilitation Using Patient Data. Applied Bionics and Biomechanics No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1094808

American Medical Association (AMA)

Rastegarpanah, Alireza& Saadat, Mozafar. Lower Limb Rehabilitation Using Patient Data. Applied Bionics and Biomechanics. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1094808

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1094808