Literature DB >> 16200757

Experimental results using force-feedback cueing in robot-assisted stroke therapy.

Michelle J Johnson1, H F Machiel Van der Loos, Charles G Burgar, Peggy Shor, Larry J Leifer.   

Abstract

Stroke is the leading cause of disability among adults in the United States. Behaviors such as learned nonuse hinder hemiplegic stroke survivors from the full use of both arms in activities of daily living. Active force-feedback cues, designed to restrain the use of the less-affected arm, were embedded into a meaningful driving simulation environment to create robot-assisted therapy device, driver's simulation environment for arm therapy (SEAT). The study hypothesized that force-feedback control mode could "motivate" stroke survivors to increase the productive use of their impaired arm throughout a bilateral steering task, by providing motivating feedback and reinforcement cues to reduce the overuse of the less-affected arm. Experimental results demonstrate that the force cues counteracted the tendency of hemiplegic subjects to produce counter-productive torques only during bilateral steering tasks (p < 0.05) that required the movement of their impaired arm in steering directions up and against gravity. Impaired arm activity was quantified in terms of torques due to the measured tangential forces on the split-steering wheel of driver's SEAT during bilateral steering. Results were verified using surface electromyograms recorded from key muscles in the impaired arm.

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Year:  2005        PMID: 16200757     DOI: 10.1109/TNSRE.2005.850428

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


  23 in total

1.  Evaluation of negative viscosity as upper extremity training for stroke survivors.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

2.  Augmented dynamics and motor exploration as training for stroke.

Authors:  Felix C Huang; James L Patton
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-03       Impact factor: 4.538

3.  Manual skill generalization enhanced by negative viscosity.

Authors:  Felix C Huang; James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  J Neurophysiol       Date:  2010-07-21       Impact factor: 2.714

4.  Minimal detectable change of the actual amount of use test and the motor activity log: the EXCITE Trial.

Authors:  Shuya Chen; Steven L Wolf; Qin Zhang; Paul A Thompson; Carolee J Winstein
Journal:  Neurorehabil Neural Repair       Date:  2012-01-24       Impact factor: 3.919

5.  Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Authors:  Edward P Washabaugh; Emma Treadway; R Brent Gillespie; C David Remy; Chandramouli Krishnan
Journal:  Restor Neurol Neurosci       Date:  2018       Impact factor: 2.406

6.  Negative viscosity can enhance learning of inertial dynamics.

Authors:  Felix C Huang; James L Patton; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Int Conf Rehabil Robot       Date:  2009-06

Review 7.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

Review 8.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

9.  A pilot study evaluating use of a computer-assisted neurorehabilitation platform for upper-extremity stroke assessment.

Authors:  Xin Feng; Jack M Winters
Journal:  J Neuroeng Rehabil       Date:  2009-05-28       Impact factor: 4.262

10.  Analysis of continuous steering movement using a motor-based quantification system.

Authors:  Hsin-Min Lee; Ping-Chia Li; Shyi-Kuen Wu; Jia-Yuan You
Journal:  Sensors (Basel)       Date:  2012-11-22       Impact factor: 3.576

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