Literature DB >> 17894268

A haptic knob for rehabilitation of hand function.

Olivier Lambercy1, Ludovic Dovat, Roger Gassert, Etienne Burdet, Chee Leong Teo, Theodore Milner.   

Abstract

This paper describes a novel two-degree-of-freedom robotic interface to train opening/closing of the hand and knob manipulation. The mechanical design, based on two parallelogram structures holding an exchangeable button, offers the possibility to adapt the interface to various hand sizes and finger orientations, as well as to right-handed or left-handed subjects. The interaction with the subject is measured by means of position encoders and four force sensors located close to the output measuring grasping and insertion forces. Various knobs can be mounted on the interface, including a cone mechanism to train a complete opening movement from a strongly contracted and closed hand to a large opened position. We describe the design based on measured biomechanics, the redundant safety mechanisms as well as the actuation and control architecture. Preliminary experiments show the performance of this interface and some of the possibilities it offers for the rehabilitation of hand function.

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Year:  2007        PMID: 17894268     DOI: 10.1109/TNSRE.2007.903913

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


  25 in total

1.  Breaking it down is better: haptic decomposition of complex movements aids in robot-assisted motor learning.

Authors:  Julius Klein; Steven J Spencer; David J Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-04-18       Impact factor: 3.802

2.  A wrist and finger force sensor module for use during movements of the upper limb in chronic hemiparetic stroke.

Authors:  Laura C Miller; Ricardo Ruiz-Torres; Arno H A Stienen; Julius P A Dewald
Journal:  IEEE Trans Biomed Eng       Date:  2009-06-26       Impact factor: 4.538

Review 3.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

4.  An Automated Test of Rat Forelimb Supination Quantifies Motor Function Loss and Recovery After Corticospinal Injury.

Authors:  Anil Sindhurakar; Samuel D Butensky; Eric Meyers; Joshua Santos; Thelma Bethea; Ashley Khalili; Andrew P Sloan; Robert L Rennaker; Jason B Carmel
Journal:  Neurorehabil Neural Repair       Date:  2016-08-20       Impact factor: 3.919

5.  A robotic system to train activities of daily living in a virtual environment.

Authors:  Marco Guidali; Alexander Duschau-Wicke; Simon Broggi; Verena Klamroth-Marganska; Tobias Nef; Robert Riener
Journal:  Med Biol Eng Comput       Date:  2011-07-28       Impact factor: 2.602

6.  Home-Based Therapy After Stroke Using the Hand Spring Operated Movement Enhancer (HandSOME).

Authors:  Ji Chen; Diane Nichols; Elizabeth B Brokaw; Peter S Lum
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-18       Impact factor: 3.802

7.  Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot.

Authors:  Christopher N Schabowsky; Sasha B Godfrey; Rahsaan J Holley; Peter S Lum
Journal:  J Neuroeng Rehabil       Date:  2010-07-28       Impact factor: 4.262

Review 8.  Sensorimotor training in virtual reality: a review.

Authors:  Sergei V Adamovich; Gerard G Fluet; Eugene Tunik; Alma S Merians
Journal:  NeuroRehabilitation       Date:  2009       Impact factor: 2.138

Review 9.  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

10.  Development of a Low-Cost EEG-Controlled Hand Exoskeleton 3D Printed on Textiles.

Authors:  Rommel S Araujo; Camille R Silva; Severino P N Netto; Edgard Morya; Fabricio L Brasil
Journal:  Front Neurosci       Date:  2021-06-25       Impact factor: 4.677

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