Literature DB >> 28483654

Validity of Robot-Based Assessments of Upper Extremity Function.

Alison McKenzie1, Lucy Dodakian2, Jill See2, Vu Le2, Erin Burke Quinlan3, Claire Bridgford4, Daniel Head4, Vy L Han2, Steven C Cramer2.   

Abstract

OBJECTIVE: To examine the validity of 5 robot-based assessments of arm motor function poststroke.
DESIGN: Cross-sectional study.
SETTING: Outpatient clinical research center. PARTICIPANTS: Volunteer sample of participants (N=40; age, >18y; 3-6mo poststroke) with arm motor deficits that had reached a stable plateau.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Clinical standards included the arm motor domain of the Fugl-Meyer Assessment (FMA) and 5 secondary motor outcomes: hand/wrist subsection of the arm motor domain of the FMA, Action Research Arm Test, Box and Block test (BBT), hand motor subscale of the Stroke Impact Scale Version 2.0, and Barthel Index. Robot-based assessments included wrist targeting, finger targeting, finger movement speed, reaction time, and a robotic version of the BBT. Anatomical measures included percent injury to the corticospinal tract (CST) and extent of injury of the hand region of the primary motor cortex obtained from magnetic resonance imaging.
RESULTS: Participants had moderate to severe impairment (arm motor domain of the FMA scores, 35.6±14.4; range, 13.5-60). Performance on the robot-based tests, including speed (r=.82; P<.0001), wrist targeting (r=.72; P<.0001), and finger targeting (r=.67; P<.0001), correlated significantly with the arm motor domain of the FMA scores. Wrist targeting (r=.57-.82) and finger targeting (r=.49-.68) correlated significantly with all 5 secondary motor outcomes and with percent CST injury. The robotic version of the BBT correlated significantly with the clinical BBT but was less prone to floor effects. Robot-based assessments were comparable to the arm motor domain of the FMA score in relation to percent CST injury and superior in relation to extent of injury to the hand region of the primary motor cortex.
CONCLUSIONS: The present findings support using a battery of robot-based methods for assessing the upper extremity motor function in participants with chronic stroke.
Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Outcome measures; Rehabilitation; Robotics; Stroke

Mesh:

Year:  2017        PMID: 28483654      PMCID: PMC5736001          DOI: 10.1016/j.apmr.2017.02.033

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  42 in total

1.  Outcome measures in neurological physical therapy practice: part II. A patient-centered process.

Authors:  Jane E Sullivan; A Williams Andrews; Desiree Lanzino; Aimee E Perron; Aimee Peron; Kirsten A Potter
Journal:  J Neurol Phys Ther       Date:  2011-06       Impact factor: 3.649

2.  Development and validation of the first robotic scale for the clinical assessment of upper extremity motor impairments in stroke patients.

Authors:  Omer Einav; Diklah Geva; Doron Yoeli; Marina Kerzhner; Karl-Heinz Mauritz
Journal:  Top Stroke Rehabil       Date:  2011-10       Impact factor: 2.119

3.  The case for modality-specific outcome measures in clinical trials of stroke recovery-promoting agents.

Authors:  Steven C Cramer; Walter J Koroshetz; Seth P Finklestein
Journal:  Stroke       Date:  2007-03-01       Impact factor: 7.914

Review 4.  Telerehabilitation in stroke care--a systematic review.

Authors:  Tim Johansson; Claudia Wild
Journal:  J Telemed Telecare       Date:  2010-11-19       Impact factor: 6.184

5.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

Review 6.  Trends in inpatient rehabilitation stroke outcomes before and after advent of the prospective payment system: a systematic review.

Authors:  Suzanne Rinere O'Brien
Journal:  J Neurol Phys Ther       Date:  2010-03       Impact factor: 3.649

7.  The stroke impact scale version 2.0. Evaluation of reliability, validity, and sensitivity to change.

Authors:  P W Duncan; D Wallace; S M Lai; D Johnson; S Embretson; L J Laster
Journal:  Stroke       Date:  1999-10       Impact factor: 7.914

Review 8.  Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review.

Authors:  Gert Kwakkel; Boudewijn J Kollen; Hermano I Krebs
Journal:  Neurorehabil Neural Repair       Date:  2007-09-17       Impact factor: 3.919

9.  Reliability of the Fugl-Meyer assessment for testing motor performance in patients following stroke.

Authors:  J Sanford; J Moreland; L R Swanson; P W Stratford; C Gowland
Journal:  Phys Ther       Date:  1993-07

10.  A multimodal approach to understanding motor impairment and disability after stroke.

Authors:  Erin Burke; Lucy Dodakian; Jill See; Alison McKenzie; Jeff D Riley; Vu Le; Steven C Cramer
Journal:  J Neurol       Date:  2014-04-12       Impact factor: 4.849

View more
  5 in total

1.  Robotic tests for position sense and movement discrimination in the upper limb reveal that they each are highly reproducible but not correlated in healthy individuals.

Authors:  Catherine R Lowrey; Benett Blazevski; Jean-Luc Marnet; Helen Bretzke; Sean P Dukelow; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2020-07-25       Impact factor: 4.262

2.  Smallest real differences for robotic measures of upper extremity function after stroke: Implications for tracking recovery.

Authors:  José Zariffa; Matthew Myers; Marge Coahran; Rosalie H Wang
Journal:  J Rehabil Assist Technol Eng       Date:  2018-09-17

3.  Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects.

Authors:  Michela Goffredo; Stefano Mazzoleni; Annalisa Gison; Francesco Infarinato; Sanaz Pournajaf; Daniele Galafate; Maurizio Agosti; Federico Posteraro; Marco Franceschini
Journal:  Appl Bionics Biomech       Date:  2019-10-21       Impact factor: 1.781

4.  Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.

Authors:  Marco Germanotta; Arianna Cruciani; Cristiano Pecchioli; Simona Loreti; Albino Spedicato; Matteo Meotti; Rita Mosca; Gabriele Speranza; Francesca Cecchi; Giorgia Giannarelli; Luca Padua; Irene Aprile
Journal:  J Neuroeng Rehabil       Date:  2018-05-16       Impact factor: 4.262

5.  Can kinematic parameters of 3D reach-to-target movements be used as a proxy for clinical outcome measures in chronic stroke rehabilitation? An exploratory study.

Authors:  Catherine Adans-Dester; Susan E Fasoli; Eric Fabara; Nicolas Menard; Annie B Fox; Giacomo Severini; Paolo Bonato
Journal:  J Neuroeng Rehabil       Date:  2020-08-08       Impact factor: 4.262

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.