Literature DB >> 19965145

Coordination changes demonstrated by subjects with hemiparesis performing hand-arm training using the NJIT-RAVR robotically assisted virtual rehabilitation system.

Qinyin Qiu1, Gerard G Fluet, Ian Lafond, Alma S Merians, Sergei V Adamovich.   

Abstract

Various authors have described pre and post testing improvements in upper limb coordination as a result of intensive upper limb interventions. While the ability to alter coordination patterns as a result of repetitive hand-arm movement is established, patterns of change in the relationship between proximal and distal effectors of the UE over the course of multiple sessions of training have not been described in the rehabilitation literature. In this study eight subjects (5 male, 3 female) with a mean age of 56.4 years (SD=14.2) and a mean time since CVA of 54.7 months post-stroke (SD=51.7) were trained for eight, 2-3 hour sessions on four robotically facilitated virtual rehabilitation activities. This paper will present 1) Functional performance and pre and post testing kinematic analysis for the eight subjects 2) More extensive analysis of the change in hand and arm coordination over the course of the eight session intervention demonstrated by one of the subjects from this sample 3) Kinematic analysis of another subject from this sample performing an un-trained reaching and grasping activity, before and after training.

Entities:  

Mesh:

Year:  2009        PMID: 19965145      PMCID: PMC2819135          DOI: 10.1109/IEMBS.2009.5335384

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


  12 in total

1.  Workspace location influences joint coordination during reaching in post-stroke hemiparesis.

Authors:  Darcy S Reisman; John P Scholz
Journal:  Exp Brain Res       Date:  2005-11-19       Impact factor: 1.972

2.  Effects of trunk restraint combined with intensive task practice on poststroke upper extremity reach and function: a pilot study.

Authors:  Michelle L Woodbury; Dena R Howland; Theresa E McGuirk; Sandra B Davis; Claudia R Senesac; Steve Kautz; Lorie G Richards
Journal:  Neurorehabil Neural Repair       Date:  2008-09-23       Impact factor: 3.919

3.  Incorporating haptic effects into three-dimensional virtual environments to train the hemiparetic upper extremity.

Authors:  Sergei V Adamovich; Gerard G Fluet; Alma S Merians; Abraham Mathai; Qinyin Qiu
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-08-07       Impact factor: 3.802

4.  Constraint-induced movement therapy after stroke: efficacy for patients with minimal upper-extremity motor ability.

Authors:  Nancy M Bonifer; Kristin M Anderson; David B Arciniegas
Journal:  Arch Phys Med Rehabil       Date:  2005-09       Impact factor: 3.966

5.  An objective and standardized test of hand function.

Authors:  R H Jebsen; N Taylor; R B Trieschmann; M J Trotter; L A Howard
Journal:  Arch Phys Med Rehabil       Date:  1969-06       Impact factor: 3.966

6.  Submovements grow larger, fewer, and more blended during stroke recovery.

Authors:  Brandon Rohrer; Susan Fasoli; Hermano Igo Krebs; Bruce Volpe; Walter R Frontera; Joel Stein; Neviller Hogan
Journal:  Motor Control       Date:  2004-10       Impact factor: 1.422

7.  Arm reaching improvements with short-term practice depend on the severity of the motor deficit in stroke.

Authors:  M C Cirstea; A Ptito; M F Levin
Journal:  Exp Brain Res       Date:  2003-08-19       Impact factor: 1.972

8.  Effects of modified constraint-induced movement therapy on reach-to-grasp movements and functional performance after chronic stroke: a randomized controlled study.

Authors:  K-C Lin; C-Y Wu; T-H Wei; C-Y Lee; J-S Liu
Journal:  Clin Rehabil       Date:  2007-12       Impact factor: 3.477

9.  Innovative approaches to the rehabilitation of upper extremity hemiparesis using virtual environments.

Authors:  A S Merians; E Tunik; G G Fluet; Q Qiu; S V Adamovich
Journal:  Eur J Phys Rehabil Med       Date:  2009-03       Impact factor: 2.874

10.  Compensation for distal impairments of grasping in adults with hemiparesis.

Authors:  Stella M Michaelsen; Stéphane Jacobs; Agnès Roby-Brami; Mindy F Levin
Journal:  Exp Brain Res       Date:  2004-02-19       Impact factor: 1.972

View more
  5 in total

1.  Robotically facilitated virtual rehabilitation of arm transport integrated with finger movement in persons with hemiparesis.

Authors:  Alma S Merians; Gerard G Fluet; Qinyin Qiu; Soha Saleh; Ian Lafond; Amy Davidow; Sergei V Adamovich
Journal:  J Neuroeng Rehabil       Date:  2011-05-16       Impact factor: 4.262

2.  Mechanisms of neural reorganization in chronic stroke subjects after virtual reality training.

Authors:  S Saleh; H Bagce; Q Qiu; G Fluet; A Merians; S Adamovich; E Tunik
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Visuomotor discordance during visually-guided hand movement in virtual reality modulates sensorimotor cortical activity in healthy and hemiparetic subjects.

Authors:  Eugene Tunik; Soha Saleh; Sergei V Adamovich
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-01-09       Impact factor: 3.802

4.  Correlations between statistical models of robotically collected kinematics and clinical measures of upper extremity function.

Authors:  Maryam Rohafza; Gerard G Fluet; Qinyin Qiu; Sergei Adamovich
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

5.  Comparing integrated training of the hand and arm with isolated training of the same effectors in persons with stroke using haptically rendered virtual environments, a randomized clinical trial.

Authors:  Gerard G Fluet; Alma S Merians; Qinyin Qiu; Amy Davidow; Sergei V Adamovich
Journal:  J Neuroeng Rehabil       Date:  2014-08-23       Impact factor: 4.262

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.