Literature DB >> 17881080

Control system design of a 3-DOF upper limbs rehabilitation robot.

Alexandre Denève1, Saïd Moughamir, Lissan Afilal, Janan Zaytoon.   

Abstract

This paper presents the control system design of a rehabilitation and training robot for the upper limbs. Based on a hierarchical structure, this control system allows the execution of sequence of switching control laws (position, force, impedance and force/impedance) corresponding to the required training configuration. A model-based nonlinear controller is used to impose the desired environment to the patient's arm. The knowledge of robot kinematics and dynamics is thus necessary to ensure haptic transparency and patient safety. The identification process of robot dynamics is emphasised and experimental identification results are given for the designed robot. The paper also presents a particular rehabilitation mode named Active-Assisted. Simulation results of this rehabilitation mode illustrate the potentialities of the overall control scheme, which can also be applied to other rehabilitation robots.

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Year:  2007        PMID: 17881080     DOI: 10.1016/j.cmpb.2007.07.006

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

Review 1.  A survey on robotic devices for upper limb rehabilitation.

Authors:  Paweł Maciejasz; Jörg Eschweiler; Kurt Gerlach-Hahn; Arne Jansen-Troy; Steffen Leonhardt
Journal:  J Neuroeng Rehabil       Date:  2014-01-09       Impact factor: 4.262

2.  A comparison of the effects and usability of two exoskeletal robots with and without robotic actuation for upper extremity rehabilitation among patients with stroke: a single-blinded randomised controlled pilot study.

Authors:  Jin Ho Park; Gyulee Park; Ha Yeon Kim; Ji-Yeong Lee; Yeajin Ham; Donghwan Hwang; Suncheol Kwon; Joon-Ho Shin
Journal:  J Neuroeng Rehabil       Date:  2020-10-19       Impact factor: 4.262

Review 3.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

  3 in total

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