Literature DB >> 24187176

Design of a self-aligning 3-DOF actuated exoskeleton for diagnosis and training of wrist and forearm after stroke.

J Houdijn Beekhuis, Ard J Westerveld, Herman van der Kooij, Arno H A Stienen.   

Abstract

Rehabilitation robotics provides a means of objectively quantifying patient condition before, during and after treatment. This paper describes the design and preliminary validation results of a novel rehabilitation device for the human wrist and forearm. The design features two key aspects: 1) it performs dynamical self-alignment to compensate for misalignment of the human limb and 2) it assists movements within almost the full natural range of motion. Self-alignment is performed by a linkage of parallelograms that allows torque-driven actuation. Advantages are decreased user-device interaction forces and lower don/doff-and setup-times. The full natural range of motion in Flexion/Extension, Radial/Ulnar-deviation and Pronation/Supination allows patients to perform ADL-like exercises during training. Furthermore, in the current design the hand and fingers remain free to perform grabbing activities and the open structure provides simple connection to the patients limb.

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Year:  2013        PMID: 24187176     DOI: 10.1109/ICORR.2013.6650357

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  1 in total

1.  Robot Training With Vector Fields Based on Stroke Survivors' Individual Movement Statistics.

Authors:  Zachary A Wright; Emily Lazzaro; Kelly O Thielbar; James L Patton; Felix C Huang
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-10-16       Impact factor: 3.802

  1 in total

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