Literature DB >> 28603663

The Present and Future of Robotic Technology in Rehabilitation.

Jeffrey Laut1, Maurizio Porfiri1, Preeti Raghavan2.   

Abstract

Robotic technology designed to assist rehabilitation can potentially increase the efficiency of and accessibility to therapy by assisting therapists to provide consistent training for extended periods of time, and collecting data to assess progress. Automatization of therapy may enable many patients to be treated simultaneously and possibly even remotely, in the comfort of their own homes, through telerehabilitation. The data collected can be used to objectively assess performance and document compliance as well as progress. All of these characteristics can make therapists more efficient in treating larger numbers of patients. Most importantly for the patient, it can increase access to therapy which is often in high demand and rationed severely in today's fiscal climate. In recent years, many consumer grade low-cost and off-the-shelf devices have been adopted for use in therapy sessions and methods for increasing motivation and engagement have been integrated with them. This review paper outlines the effort devoted to the development and integration of robotic technology for rehabilitation.

Entities:  

Keywords:  gaming; medical devices; patient adherence; rehabilitation; rehabilitation engineering; robotics; stroke; telerehabilitation

Year:  2016        PMID: 28603663      PMCID: PMC5461931          DOI: 10.1007/s40141-016-0139-0

Source DB:  PubMed          Journal:  Curr Phys Med Rehabil Rep        ISSN: 2167-4833


  76 in total

1.  Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle.

Authors:  Gustavo Saposnik; Robert Teasell; Muhammad Mamdani; Judith Hall; William McIlroy; Donna Cheung; Kevin E Thorpe; Leonardo G Cohen; Mark Bayley
Journal:  Stroke       Date:  2010-05-27       Impact factor: 7.914

2.  Integrating proprioceptive assessment with proprioceptive training of stroke patients.

Authors:  Valentina Squeri; Jacopo Zenzeri; Pietro Morasso; Angelo Basteris
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

3.  Telerehabilitation: toward a cost-efficient platform for post-stroke neurorehabilitation.

Authors:  Joel C Perry; Javier Arcas Ruiz-Ruano; Thierry Keller
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

4.  Influence of gravity compensation on muscle activation patterns during different temporal phases of arm movements of stroke patients.

Authors:  G B Prange; M J A Jannink; A H A Stienen; H van der Kooij; M J Ijzerman; H J Hermens
Journal:  Neurorehabil Neural Repair       Date:  2009-02-03       Impact factor: 3.919

Review 5.  Stroke rehabilitation.

Authors:  Peter Langhorne; Julie Bernhardt; Gert Kwakkel
Journal:  Lancet       Date:  2011-05-14       Impact factor: 79.321

Review 6.  Rehabilitation of arm function after stroke. Literature review.

Authors:  L Oujamaa; I Relave; J Froger; D Mottet; J-Y Pelissier
Journal:  Ann Phys Rehabil Med       Date:  2009-04-09

7.  The effect of the GENTLE/s robot-mediated therapy system on arm function after stroke.

Authors:  Susan Coote; Brendan Murphy; William Harwin; Emma Stokes
Journal:  Clin Rehabil       Date:  2008-05       Impact factor: 3.477

8.  Kinematic robot-based evaluation scales and clinical counterparts to measure upper limb motor performance in patients with chronic stroke.

Authors:  Caitlyn Bosecker; Laura Dipietro; Bruce Volpe; Hermano Igo Krebs
Journal:  Neurorehabil Neural Repair       Date:  2009-08-14       Impact factor: 3.919

9.  Human movement training with a cable driven ARm EXoskeleton (CAREX).

Authors:  Ying Mao; Xin Jin; Geetanjali Gera Dutta; John P Scholz; Sunil K Agrawal
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-06-05       Impact factor: 3.802

10.  Increasing patient engagement in rehabilitation exercises using computer-based citizen science.

Authors:  Jeffrey Laut; Francesco Cappa; Oded Nov; Maurizio Porfiri
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

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  11 in total

1.  3D Localization of Hand Acupoints Using Hand Geometry and Landmark Points Based on RGB-D CNN Fusion.

Authors:  Danish Masood; Jiang Qi
Journal:  Ann Biomed Eng       Date:  2022-06-04       Impact factor: 4.219

2.  Assisting Forearm Function in Children With Movement Disorders via A Soft Wearable Robot With Equilibrium-Point Control.

Authors:  Jonathan Realmuto; Terence D Sanger
Journal:  Front Robot AI       Date:  2022-06-15

Review 3.  Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics.

Authors:  Wenzheng Heng; Samuel Solomon; Wei Gao
Journal:  Adv Mater       Date:  2022-02-25       Impact factor: 32.086

4.  Novel integrative rehabilitation system for the upper extremity: Design and usability evaluation.

Authors:  Grigore Burdea; Nam Kim; Kevin Polistico; Ashwin Kadaru; Doru Roll; Namrata Grampurohit
Journal:  J Rehabil Assist Technol Eng       Date:  2021-07-07

5.  Effectiveness of robotic-assisted therapy for upper extremity function in children and adolescents with cerebral palsy: a systematic review protocol.

Authors:  Sasithorn Sung-U; Badur Un Nisa; Kayano Yotsumoto; Rumi Tanemura
Journal:  BMJ Open       Date:  2021-05-11       Impact factor: 2.692

6.  Ability of people with post-stroke hemiplegia to self-administer FES-assisted hand therapy video games at home: An exploratory case series.

Authors:  Michael J Fu; Mary Y Harley; Terri Hisel; Robyn Busch; Richard Wilson; John Chae; Jayme S Knutson
Journal:  J Rehabil Assist Technol Eng       Date:  2019-07-16

7.  Prediction of Motion Intentions as a Novel Method of Upper Limb Rehabilitation Support.

Authors:  Bogusz Lewandowski; Sławomir Wudarczyk; Przemysław Sperzyński; Jacek Bałchanowski
Journal:  Sensors (Basel)       Date:  2021-01-08       Impact factor: 3.576

8.  Data-Driven Classification of Human Movements in Virtual Reality-Based Serious Games: Preclinical Rehabilitation Study in Citizen Science.

Authors:  Roni Barak Ventura; Kora Stewart Hughes; Oded Nov; Preeti Raghavan; Manuel Ruiz Marín; Maurizio Porfiri
Journal:  JMIR Serious Games       Date:  2022-02-10       Impact factor: 4.143

9.  A 3D printing approach toward targeted intervention in telerehabilitation.

Authors:  Roni Barak Ventura; Alessandro Rizzo; Oded Nov; Maurizio Porfiri
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

10.  Professionals' Views and Experiences of Using Rehabilitation Robotics With Stroke Survivors: A Mixed Methods Survey.

Authors:  Lutong Li; Sarah Tyson; Andrew Weightman
Journal:  Front Med Technol       Date:  2021-11-11
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