Literature DB >> 20852420

What's new in new technologies for upper extremity rehabilitation?

Sylvain Brochard1, Johanna Robertson, Béatrice Médée, Olivier Rémy-Néris.   

Abstract

PURPOSE OF REVIEW: The field of new technologies for upper-limb rehabilitation is exploding. The review presents new trends and studies of effectiveness from recent literature regarding robots, virtual reality and telerehabilitation for neurorehabilitation of the upper limb. RECENT
FINDINGS: There appears to be a greater focus on technological developments than on clinical trials or studies to evaluate the mechanisms behind the effectiveness of these systems. Developments are most abundant in the field of robotics. However, the first well designed and powered randomized-controlled trial on robot rehabilitation has appeared, confirming that the effectiveness of robot therapy lies in the number of repetitions provided. There is a move towards studies in populations other than stroke, particularly cerebral palsy with a few studies on multiple sclerosis and traumatic brain injury. There is also an increasing trend for the use of robotic devices as evaluation tools.
SUMMARY: Despite the fact that new technologies are based on knowledge from motor control and learning literature and that they provide an exciting potential for varied rehabilitation, recent evidence suggests that the only contribution to clinical practice currently is the provision of intensive, repetitive movements.

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Year:  2010        PMID: 20852420     DOI: 10.1097/WCO.0b013e32833f61ce

Source DB:  PubMed          Journal:  Curr Opin Neurol        ISSN: 1350-7540            Impact factor:   5.710


  24 in total

1.  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

2.  A computational model of use-dependent motor recovery following a stroke: optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics.

Authors:  David J Reinkensmeyer; Emmanuel Guigon; Marc A Maier
Journal:  Neural Netw       Date:  2012-02-13

3.  Robotic-assisted rehabilitation of proximal humerus fractures in virtual environments: a pilot study.

Authors:  L Schwickert; J Klenk; A Stähler; C Becker; U Lindemann
Journal:  Z Gerontol Geriatr       Date:  2011-12       Impact factor: 1.281

4.  An Adaptive Home-Use Robotic Rehabilitation System for the Upper Body.

Authors:  Ariel V Dowling; Ouriel Barzilay; Yuval Lombrozo; Alon Wolf
Journal:  IEEE J Transl Eng Health Med       Date:  2014-03-27       Impact factor: 3.316

5.  People post-stroke perceive movement fluency in virtual reality.

Authors:  Liesjet van Dokkum; Denis Mottet; Huei-Yune Bonnin-Koang; Julien Metrot; Agnès Roby-Brami; Isabelle Hauret; Isabelle Laffont
Journal:  Exp Brain Res       Date:  2012-01-11       Impact factor: 1.972

6.  Interrater Reliability of Three Versions of the Chedoke Arm and Hand Activity Inventory.

Authors:  Denise Johnson; Jocelyn E Harris; Paul Stratford; Julie Richardson
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

7.  Sequential combination of robot-assisted therapy and constraint-induced therapy in stroke rehabilitation: a randomized controlled trial.

Authors:  Yu-Wei Hsieh; Keh-Chung Lin; Yi-Shiung Horng; Ching-Yi Wu; Tai-Chieh Wu; Fang-Ling Ku
Journal:  J Neurol       Date:  2014-04-20       Impact factor: 4.849

Review 8.  Telerehabilitation services for stroke.

Authors:  Kate E Laver; Daniel Schoene; Maria Crotty; Stacey George; Natasha A Lannin; Catherine Sherrington
Journal:  Cochrane Database Syst Rev       Date:  2013-12-16

9.  Brain network involved in visual processing of movement stimuli used in upper limb robotic training: an fMRI study.

Authors:  Federico Nocchi; Simone Gazzellini; Carmela Grisolia; Maurizio Petrarca; Vittorio Cannatà; Paolo Cappa; Tommaso D'Alessio; Enrico Castelli
Journal:  J Neuroeng Rehabil       Date:  2012-07-24       Impact factor: 4.262

10.  Reliability of movement workspace measurements in a passive arm orthosis used in spinal cord injury rehabilitation.

Authors:  Claudia Rudhe; Urs Albisser; Michelle L Starkey; Armin Curt; Marc Bolliger
Journal:  J Neuroeng Rehabil       Date:  2012-06-09       Impact factor: 4.262

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