Literature DB >> 23080040

Robotic approaches for rehabilitation of hand function after stroke.

Peter S Lum1, Sasha B Godfrey, Elizabeth B Brokaw, Rahsaan J Holley, Diane Nichols.   

Abstract

The goal of this review was to discuss the impairments in hand function after stroke and present previous work on robot-assisted approaches to movement neurorehabilitation. Robotic devices offer a unique training environment that may enhance outcomes beyond what is possible with conventional means. Robots apply forces to the hand, allowing completion of movements while preventing inappropriate movement patterns. Evidence from the literature is emerging that certain characteristics of the human-robot interaction are preferable. In light of this evidence, the robotic hand devices that have undergone clinical testing are reviewed, highlighting the authors' work in this area. Finally, suggestions for future work are offered. The ability to deliver therapy doses far higher than what has been previously tested is a potentially key advantage of robotic devices that needs further exploration. In particular, more efforts are needed to develop highly motivating home-based devices, which can increase access to high doses of assisted movement therapy.

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Mesh:

Year:  2012        PMID: 23080040     DOI: 10.1097/PHM.0b013e31826bcedb

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  20 in total

1.  Cortical effects of repetitive finger flexion- vs. extension-resisted tracking movements: a TMS study.

Authors:  Sasha B Godfrey; Peter S Lum; Evan Chan; Michelle L Harris-Love
Journal:  J Neurophysiol       Date:  2012-11-21       Impact factor: 2.714

Review 2.  Robot-assisted Therapy in Stroke Rehabilitation.

Authors:  Won Hyuk Chang; Yun-Hee Kim
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

3.  Home-Based Therapy After Stroke Using the Hand Spring Operated Movement Enhancer (HandSOME).

Authors:  Ji Chen; Diane Nichols; Elizabeth B Brokaw; Peter S Lum
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-04-18       Impact factor: 3.802

4.  Impact of Shoulder Abduction Loading on Brain-Machine Interface in Predicting Hand Opening and Closing in Individuals With Chronic Stroke.

Authors:  Jun Yao; Clay Sheaff; Carolina Carmona; Julius P A Dewald
Journal:  Neurorehabil Neural Repair       Date:  2015-07-27       Impact factor: 3.919

Review 5.  Robotic technologies and rehabilitation: new tools for stroke patients' therapy.

Authors:  Patrizia Poli; Giovanni Morone; Giulio Rosati; Stefano Masiero
Journal:  Biomed Res Int       Date:  2013-11-20       Impact factor: 3.411

6.  An EMG Interface for the Control of Motion and Compliance of a Supernumerary Robotic Finger.

Authors:  Irfan Hussain; Giovanni Spagnoletti; Gionata Salvietti; Domenico Prattichizzo
Journal:  Front Neurorobot       Date:  2016-11-11       Impact factor: 2.650

7.  Measurements by A LEAP-Based Virtual Glove for the Hand Rehabilitation.

Authors:  Giuseppe Placidi; Luigi Cinque; Matteo Polsinelli; Matteo Spezialetti
Journal:  Sensors (Basel)       Date:  2018-03-10       Impact factor: 3.576

8.  Rehabilitation with poststroke motor recovery: a review with a focus on neural plasticity.

Authors:  Naoyuki Takeuchi; Shin-Ichi Izumi
Journal:  Stroke Res Treat       Date:  2013-04-30

9.  Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

Authors:  Sharon M Nijenhuis; Gerdienke B Prange; Farshid Amirabdollahian; Patrizio Sale; Francesco Infarinato; Nasrin Nasr; Gail Mountain; Hermie J Hermens; Arno H A Stienen; Jaap H Buurke; Johan S Rietman
Journal:  J Neuroeng Rehabil       Date:  2015-10-09       Impact factor: 4.262

Review 10.  Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective.

Authors:  Roger Gassert; Volker Dietz
Journal:  J Neuroeng Rehabil       Date:  2018-06-05       Impact factor: 4.262

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