Literature DB >> 21314295

A review of the evidence underpinning the use of visual and auditory feedback for computer technology in post-stroke upper-limb rehabilitation.

Jack Parker1, Gail Mountain, Jackie Hammerton.   

Abstract

PURPOSE: To identify and review the evidence to determine the current scientific basis underpinning the use of visual and/or auditory feedback for computer technology in home-based upper-limb stroke rehabilitation.
METHOD: A systematic search was conducted using the following databases: CINAHL (EBSCO), MEDLINE (Ovid and CSA), PubMed, Science Direct (Elsevier) and Cochrane Library. Journals, book chapters and conference proceedings were also used in the systematic search. Relevant papers were critically appraised using the Critical Appraisal Skills Programme tool for randomised controlled trials/quantitative designs.
RESULTS: Four controlled trials were identified as being relevant. Although the evidence is scarce, existing findings suggest that extrinsic visual and auditory feedback may improve motor and functional performance. In addition, concurrent feedback, knowledge of performance, knowledge of results and explicit feedback may be key components in the promotion of improved performance.
CONCLUSIONS: There is a paucity of evidence to inform the development and the use of technological systems for home-based stroke rehabilitation and specifically how such systems might be developed to provide best forms of feedback in the absence of a therapist. Further work is required to first investigate the efficacy of visual and auditory feedback using technology systems and second to explore their utilisation with the end user.
© 2011 Informa UK, Ltd.

Entities:  

Mesh:

Year:  2011        PMID: 21314295     DOI: 10.3109/17483107.2011.556209

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  15 in total

1.  Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation.

Authors:  Robert Bauer; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2015-02-12       Impact factor: 4.677

2.  Stroke patients' utilisation of extrinsic feedback from computer-based technology in the home: a multiple case study realistic evaluation.

Authors:  Jack Parker; Susan Mawson; Gail Mountain; Nasrin Nasr; Huiru Zheng
Journal:  BMC Med Inform Decis Mak       Date:  2014-06-05       Impact factor: 2.796

Review 3.  The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review.

Authors:  Lauren Powell; Jack Parker; Marrissa Martyn St-James; Susan Mawson
Journal:  J Med Internet Res       Date:  2016-10-07       Impact factor: 5.428

Review 4.  Technology-Based Feedback and Its Efficacy in Improving Gait Parameters in Patients with Abnormal Gait: A Systematic Review.

Authors:  Gema Chamorro-Moriana; Antonio José Moreno; José Luis Sevillano
Journal:  Sensors (Basel)       Date:  2018-01-06       Impact factor: 3.576

5.  A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole.

Authors:  Richard John Davies; Jack Parker; Paul McCullagh; Huiru Zheng; Chris Nugent; Norman David Black; Susan Mawson
Journal:  JMIR Rehabil Assist Technol       Date:  2016-11-08

6.  Constraints and Adaptation of Closed-Loop Neuroprosthetics for Functional Restoration.

Authors:  Robert Bauer; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2017-03-13       Impact factor: 4.677

Review 7.  Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review.

Authors:  Jack Parker; Lauren Powell; Susan Mawson
Journal:  J Med Internet Res       Date:  2020-01-08       Impact factor: 5.428

8.  Wearable Wrist Movement Monitoring Using Dual Surface-Treated Plastic Optical Fibers.

Authors:  Jing Li; Jian Liu; Cheng Li; Hui Zhang; Yizuo Li
Journal:  Materials (Basel)       Date:  2020-07-24       Impact factor: 3.623

9.  Feedback-mediated upper extremities exercise: increasing patient motivation in poststroke rehabilitation.

Authors:  Maša D Popović; Miloš D Kostić; Sindi Z Rodić; Ljubica M Konstantinović
Journal:  Biomed Res Int       Date:  2014-06-02       Impact factor: 3.411

Review 10.  Feedback Design in Targeted Exercise Digital Biofeedback Systems for Home Rehabilitation: A Scoping Review.

Authors:  Louise Brennan; Enrique Dorronzoro Zubiete; Brian Caulfield
Journal:  Sensors (Basel)       Date:  2019-12-28       Impact factor: 3.576

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