Literature DB >> 18198714

Design, implementation and clinical tests of a wire-based robot for neurorehabilitation.

Giulio Rosati1, Paolo Gallina, Stefano Masiero.   

Abstract

This paper presents the development of and clinical tests on NeReBot (NEuroREhabilitation roBOT): a three degrees-of-freedom (DoF), wire-driven robot for poststroke upper-limb rehabilitation. Basically, the robot consists of a set of three wires independently driven by three electric motors. The wires are connected to the patient's upper limb by means of a splint and are supported by a transportable frame, located above the patient. By controlling wire length, rehabilitation treatment (based on the passive or active-assistive spatial motion of the limb) can be delivered over a wide working space. The arm trajectory is set by the therapist through a very simple teaching-by-showing procedure, enabling most common "hands on" therapy exercises to be reproduced by the robot. Compared to other rehabilitation robots, NeReBot offers the advantages of a low-cost mechanical structure, intrinsically safe treatment thanks to the use of wires, high acceptability by the patient, who does not feel constrained by an "industrial-like" robot, transportability (it can be easily placed aside a hospital bed and/or a wheelchair), and a good trade-off between low number of DoF and spatial performance. These features and the very encouraging results of the first clinical trials make the NeReBot a good candidate for adoption in the rehabilitation treatment of subacute stroke survivors. Clinical trials were performed with a 12-patient experimental group and a 12-patient control group. Resulted that the patients who received robotic therapy in addition to conventional therapy showed greater reductions in motor impairment (in terms of Medical Research Council score, the upper limb subsection of the Fugl-Meyer score, and the Motor Status Score) and improvements in functional abilities (as measured by the Functional Independence Measure and its motor component). No adverse effects occurred and the robotic approach was very well accepted. According to these results, the NeReBot therapy may efficaciously complement standard poststroke multidisciplinary rehabilitation and offer novel therapeutic strategies for neurological rehabilitation.

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Year:  2007        PMID: 18198714     DOI: 10.1109/TNSRE.2007.908560

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


  20 in total

1.  Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.

Authors:  Sergei V Adamovich; Gerard G Fluet; Alma S Merians; Abraham Mathai; Qinyin Qiu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-08-07       Impact factor: 3.802

Review 2.  Assessing the effectiveness of robot facilitated neurorehabilitation for relearning motor skills following a stroke.

Authors:  W S Harwin; A Murgia; E K Stokes
Journal:  Med Biol Eng Comput       Date:  2011-07-21       Impact factor: 2.602

3.  A comparative analysis of speed profile models for wrist pointing movements.

Authors:  Lev Vaisman; Laura Dipietro; Hermano Igo Krebs
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-12-10       Impact factor: 3.802

4.  Design and Interaction Control of a New Bilateral Upper-Limb Rehabilitation Device.

Authors:  Qing Miao; Mingming Zhang; Yupu Wang; Sheng Q Xie
Journal:  J Healthc Eng       Date:  2017-09-20       Impact factor: 2.682

5.  Technologies and combination therapies for enhancing movement training for people with a disability.

Authors:  David J Reinkensmeyer; Michael L Boninger
Journal:  J Neuroeng Rehabil       Date:  2012-03-30       Impact factor: 4.262

Review 6.  On the role of auditory feedback in robot-assisted movement training after stroke: review of the literature.

Authors:  Giulio Rosati; Antonio Rodà; Federico Avanzini; Stefano Masiero
Journal:  Comput Intell Neurosci       Date:  2013-12-08

Review 7.  Robotic neurorehabilitation: a computational motor learning perspective.

Authors:  Vincent S Huang; John W Krakauer
Journal:  J Neuroeng Rehabil       Date:  2009-02-25       Impact factor: 4.262

Review 8.  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

Review 9.  Embracing change: practical and theoretical considerations for successful implementation of technology assisting upper limb training in stroke.

Authors:  Ananda Hochstenbach-Waelen; Henk A M Seelen
Journal:  J Neuroeng Rehabil       Date:  2012-08-02       Impact factor: 4.262

10.  Performance adaptive training control strategy for recovering wrist movements in stroke patients: a preliminary, feasibility study.

Authors:  Lorenzo Masia; Maura Casadio; Psiche Giannoni; Giulio Sandini; Pietro Morasso
Journal:  J Neuroeng Rehabil       Date:  2009-12-07       Impact factor: 4.262

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