Literature DB >> 22275615

Design & control of a 3D stroke rehabilitation platform.

Z Cai, D Tong, K L Meadmore, C T Freeman, A M Hughes, E Rogers, J H Burridge.   

Abstract

An upper limb stroke rehabilitation system is developed which combines electrical stimulation with mechanical arm support, to assist patients performing 3D reaching tasks in a virtual reality environment. The Stimulation Assistance through Iterative Learning (SAIL) platform applies electrical stimulation to two muscles in the arm using model-based control schemes which learn from previous trials of the task. This results in accurate movement which maximises the therapeutic effect of treatment. The principal components of the system are described and experimental results confirm its efficacy for clinical use in upper limb stroke rehabilitation.
© 2011 IEEE

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Year:  2011        PMID: 22275615     DOI: 10.1109/ICORR.2011.5975412

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


  2 in total

1.  Feedback Error Learning Controller for Functional Electrical Stimulation Assistance in a Hybrid Robotic System for Reaching Rehabilitation.

Authors:  Francisco Resquín; Jose Gonzalez-Vargas; Jaime Ibáñez; Fernando Brunetti; José Luis Pons
Journal:  Eur J Transl Myol       Date:  2016-07-15

2.  Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study.

Authors:  F Resquín; J Gonzalez-Vargas; J Ibáñez; F Brunetti; I Dimbwadyo; L Carrasco; S Alves; C Gonzalez-Alted; A Gomez-Blanco; J L Pons
Journal:  J Neuroeng Rehabil       Date:  2017-10-12       Impact factor: 4.262

  2 in total

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