Literature DB >> 15458061

Virtual reality-based post-stroke hand rehabilitation.

R Boian1, A Sharma, C Han, A Merians, G Burdea, S Adamovich, M Recce, M Tremaine, H Poizner.   

Abstract

A VR-based system using a CyberGlove and a Rutgers Master II-ND haptic glove was used to rehabilitate four post-stroke patients in the chronic phase. Each patient had to perform a variety of VR exercises to reduce impairments in their finger range of motion, speed, fractionation and strength. Patients exercised for about two hours per day, five days a week for three weeks. Results showed that three of the patients had gains in thumb range (50-140%) and finger speed (10-15%) over the three weeks trial. All four patients had significant improvement in finger fractionation (40-118%). Gains in finger strength were modest, due in part to an unexpected hardware malfunction. Two of the patients were measured against one-month post intervention and showed good retention. Evaluation using the Jebsen Test of Hand Function showed a reduction of 23-28% in time completion for two of the patients (the ones with the higher degrees of impairment). A prehension task was performed 9-40% faster for three of the patients after the intervention illustrating transfer of their improvement to a functional task.

Entities:  

Mesh:

Year:  2002        PMID: 15458061

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  13 in total

1.  Autonomous Use of the Home Virtual Rehabilitation System: A Feasibility and Pilot Study.

Authors:  Gerard G Fluet; Qinyin Qiu; Jigna Patel; Amanda Cronce; Alma S Merians; Sergei V Adamovich
Journal:  Games Health J       Date:  2019-12

2.  Feasibility of Computer-Based Videogame Therapy for Children with Cerebral Palsy.

Authors:  Sandra Radtka; Robert Hone; Charles Brown; Judy Mastick; Marsha E Melnick; Glenna A Dowling
Journal:  Games Health J       Date:  2013-08

3.  Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot.

Authors:  Christopher N Schabowsky; Sasha B Godfrey; Rahsaan J Holley; Peter S Lum
Journal:  J Neuroeng Rehabil       Date:  2010-07-28       Impact factor: 4.262

4.  Classification of hand preshaping in persons with stroke using Linear Discriminant Analysis.

Authors:  Saumya Puthenveettil; Gerard Fluet; Qinyin Qiu; Sergei Adamovich
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Arm control recovery enhanced by error augmentation.

Authors:  Farnaz Abdollahi; Sylvester V Rozario; Robert V Kenyon; James L Patton; Emily Case; Mark Kovic; Molly Listenberger
Journal:  IEEE Int Conf Rehabil Robot       Date:  2011

6.  SALGOT--Stroke Arm Longitudinal study at the University of Gothenburg, prospective cohort study protocol.

Authors:  Margit Alt Murphy; Hanna C Persson; Anna Danielsson; Jurgen Broeren; Asa Lundgren-Nilsson; Katharina S Sunnerhagen
Journal:  BMC Neurol       Date:  2011-05-25       Impact factor: 2.474

Review 7.  Valid and reliable instruments for arm-hand assessment at ICF activity level in persons with hemiplegia: a systematic review.

Authors:  Ryanne J M Lemmens; Annick A A Timmermans; Yvonne J M Janssen-Potten; Rob J E M Smeets; Henk A M Seelen
Journal:  BMC Neurol       Date:  2012-04-12       Impact factor: 2.474

Review 8.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

Review 9.  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

10.  Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.

Authors:  Florian Grimm; Jelena Kraugmann; Georgios Naros; Alireza Gharabaghi
Journal:  J Neuroeng Rehabil       Date:  2021-06-02       Impact factor: 4.262

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