Literature DB >> 10188602

Guidance-based quantification of arm impairment following brain injury: a pilot study.

D J Reinkensmeyer1, J P Dewald, W Z Rymer.   

Abstract

This paper reports the design and preliminary testing of a device for evaluating arm impairment after brain injury. The assisted rehabilitation and measurement (ARM) Guide is capable of mechanically guiding reaching and retrieval movements across the workspace and of measuring constraint forces and range of motion during guidance. We tested the device on four hemiplegic brain-injured individuals and four unimpaired control subjects. During guided movement, the brain-injured subjects generated distinct spatial patterns of constraint force with their impaired arms that were consistent with the standard flexion and extension "synergies" described in the clinical literature. In addition, the impaired arms exhibited well-defined workspace deficits as measured by the ARM Guide. These results suggest that constraint force and range of motion measurements during mechanically guided movement may prove useful for precise monitoring of arm impairment and of the effects of treatment techniques targeted at abnormal synergies and workspace deficits.

Entities:  

Mesh:

Year:  1999        PMID: 10188602     DOI: 10.1109/86.750543

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  13 in total

1.  Target-dependent differences between free and constrained arm movements in chronic hemiparesis.

Authors:  Randall F Beer; Julius P A Dewald; Michelle L Dawson; W Zev Rymer
Journal:  Exp Brain Res       Date:  2004-02-17       Impact factor: 1.972

Review 2.  Robot-aided neurorehabilitation of the upper extremities.

Authors:  R Riener; T Nef; G Colombo
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

3.  Saturated muscle activation contributes to compensatory reaching strategies after stroke.

Authors:  Patrick H McCrea; Janice J Eng; Antony J Hodgson
Journal:  J Neurophysiol       Date:  2005-07-13       Impact factor: 2.714

Review 4.  Activity-based therapies.

Authors:  Alexander W Dromerick; Peter S Lum; Joseph Hidler
Journal:  NeuroRx       Date:  2006-10

5.  Learning, not adaptation, characterizes stroke motor recovery: evidence from kinematic changes induced by robot-assisted therapy in trained and untrained task in the same workspace.

Authors:  L Dipietro; H I Krebs; B T Volpe; J Stein; C Bever; S T Mernoff; S E Fasoli; N Hogan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-12-16       Impact factor: 3.802

6.  A comparative analysis of speed profile models for wrist pointing movements.

Authors:  Lev Vaisman; Laura Dipietro; Hermano Igo Krebs
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-12-10       Impact factor: 3.802

Review 7.  Advances in upper limb stroke rehabilitation: a technology push.

Authors:  Rui C V Loureiro; William S Harwin; Kiyoshi Nagai; Michelle Johnson
Journal:  Med Biol Eng Comput       Date:  2011-07-20       Impact factor: 2.602

8.  Hemiparetic stroke impairs anticipatory control of arm movement.

Authors:  Craig D Takahashi; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2003-01-30       Impact factor: 1.972

Review 9.  Clinical application of a modular ankle robot for stroke rehabilitation.

Authors:  Larry W Forrester; Anindo Roy; Ronald N Goodman; Jeremy Rietschel; Joseph E Barton; Hermano Igo Krebs; Richard F Macko
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

10.  Robotics to enable older adults to remain living at home.

Authors:  Alan J Pearce; Brooke Adair; Kimberly Miller; Elizabeth Ozanne; Catherine Said; Nick Santamaria; Meg E Morris
Journal:  J Aging Res       Date:  2012-12-04
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