Literature DB >> 17271420

A virtual reality based exercise system for hand rehabilitation post-stroke: transfer to function.

S V Adamovich1, A S Merians, R Boian, M Tremaine, G S Burdea, M Recce, H Poizner.   

Abstract

We present preliminary results from a virtual reality (VR)-based system for hand rehabilitation that uses a CyberGlove and a Rutgers Master II-ND haptic glove. This system trains finger range of motion, finger flexion speed, independence of finger motion and finger strength. Eight chronic post-stroke subjects participated. In keeping with variability in both the lesion site and in initial upper extremity function, each subject showed improvement on a unique combination of movement parameters in VR training. These improvements transferred to gains on clinical tests, as well as to significant reductions in task completion times for the prehension of real objects. These results are indicative of the potential feasibility of this exercise system for rehabilitation in patients with hand dysfunction resulting from neurological impairment.

Entities:  

Year:  2004        PMID: 17271420     DOI: 10.1109/IEMBS.2004.1404364

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  18 in total

Review 1.  Tele-Health and neurology: what is possible?

Authors:  Francesca Timpano; Lilla Bonanno; Alessia Bramanti; Fabio Pirrotta; Letteria Spadaro; Placido Bramanti; Pietro Lanzafame
Journal:  Neurol Sci       Date:  2013-02-21       Impact factor: 3.307

2.  Pilot study to test effectiveness of video game on reaching performance in stroke.

Authors:  Ana Maria Acosta; Hendrik A Dewald; Jules P A Dewald
Journal:  J Rehabil Res Dev       Date:  2011

3.  Visuomotor discordance in virtual reality: effects on online motor control.

Authors:  Hamid F Bagce; Soha Saleh; Sergei V Adamovich; Eugene Tunik
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

4.  Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study.

Authors:  Sergei V Adamovich; Gerard G Fluet; Abraham Mathai; Qinyin Qiu; Jeffrey Lewis; Alma S Merians
Journal:  J Neuroeng Rehabil       Date:  2009-07-17       Impact factor: 4.262

5.  A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform.

Authors:  Ahmed Mohamed Elnady; Xin Zhang; Zhen Gang Xiao; Xinyi Yong; Bubblepreet Kaur Randhawa; Lara Boyd; Carlo Menon
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

Review 6.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

7.  Enhanced Visual Feedback Using Immersive VR Affects Decision Making Regarding Hand Use With a Simulated Impaired Limb.

Authors:  Naoko Sakabe; Samirah Altukhaim; Yoshikatsu Hayashi; Takeshi Sakurada; Shiro Yano; Toshiyuki Kondo
Journal:  Front Hum Neurosci       Date:  2021-06-11       Impact factor: 3.169

8.  A new electromechanical trainer for sensorimotor rehabilitation of paralysed fingers: a case series in chronic and acute stroke patients.

Authors:  Stefan Hesse; H Kuhlmann; J Wilk; C Tomelleri; Stephen G B Kirker
Journal:  J Neuroeng Rehabil       Date:  2008-09-04       Impact factor: 4.262

Review 9.  Enhancing astronaut performance using sensorimotor adaptability training.

Authors:  Jacob J Bloomberg; Brian T Peters; Helen S Cohen; Ajitkumar P Mulavara
Journal:  Front Syst Neurosci       Date:  2015-09-16

10.  Reinforced feedback in virtual environment for rehabilitation of upper extremity dysfunction after stroke: preliminary data from a randomized controlled trial.

Authors:  Paweł Kiper; Michela Agostini; Carlos Luque-Moreno; Paolo Tonin; Andrea Turolla
Journal:  Biomed Res Int       Date:  2014-03-13       Impact factor: 3.411

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