Literature DB >> 16200758

A rehabilitation robot with force-position hybrid fuzzy controller: hybrid fuzzy control of rehabilitation robot.

Ming-Shaung Ju1, Chou-Ching K Lin, Dong-Huang Lin, Ing-Shiou Hwang, Shu-Min Chen.   

Abstract

The goal of this study was to design a robot system for assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The robot should be able to guide patient's wrist to move along planned linear or circular trajectories. A hybrid position/force controller incorporating fuzzy logic was developed to constrain the movement in the desired direction and to maintain a constant force along the moving direction. The controller was stable in the application range of movements and forces. Offline analyses of data were used to quantitatively assess the progress of rehabilitation. The results show that the robot could guide the upper limbs of subjects in linear and circular movements under predefined external force levels and apply a desired force along the tangential direction of the movements.

Entities:  

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Year:  2005        PMID: 16200758     DOI: 10.1109/TNSRE.2005.847354

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  7 in total

1.  The development of an adaptive upper-limb stroke rehabilitation robotic system.

Authors:  Patricia Kan; Rajibul Huq; Jesse Hoey; Robby Goetschalckx; Alex Mihailidis
Journal:  J Neuroeng Rehabil       Date:  2011-06-16       Impact factor: 4.262

Review 2.  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

3.  An Adaptive Iterative Learning Based Impedance Control for Robot-Aided Upper-Limb Passive Rehabilitation.

Authors:  Wang Ting; Song Aiguo
Journal:  Front Robot AI       Date:  2019-06-04

4.  Two-Dof Upper Limb Rehabilitation Robot Driven by Straight Fibers Pneumatic Muscles.

Authors:  Francesco Durante; Terenziano Raparelli; Pierluigi Beomonte Zobel
Journal:  Bioengineering (Basel)       Date:  2022-08-09

Review 5.  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

6.  Patient-Active Control of a Powered Exoskeleton Targeting Upper Limb Rehabilitation Training.

Authors:  Qingcong Wu; Xingsong Wang; Bai Chen; Hongtao Wu
Journal:  Front Neurol       Date:  2018-10-11       Impact factor: 4.003

7.  Development, Dynamic Modeling, and Multi-Modal Control of a Therapeutic Exoskeleton for Upper Limb Rehabilitation Training.

Authors:  Qingcong Wu; Hongtao Wu
Journal:  Sensors (Basel)       Date:  2018-10-24       Impact factor: 3.576

  7 in total

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