Literature DB >> 34497471

Tools and Techniques Used With Robotic Devices to Quantify Upper-Limb Function in Typically Developing Children: A Systematic Review.

Stephan Cd Dobri1, Hana M Ready1, Theresa Claire Davies1.   

Abstract

BACKGROUND: Robotic devices have been used to quantify function, identify impairment, and rehabilitate motor function extensively in adults, but less-so in younger populations. The ability to perform motor actions improves as children grow. It is important to quantify this rate of change of the neurotypical population before attempting to identify impairment and target rehabilitation techniques.
OBJECTIVES: For a population of typically developing children, this systematic review identifies and analyzes tools and techniques used with robotic devices to quantify upper-limb motor function. Since most of the papers also used robotic devices to compare function of neurotypical to pathological populations, a secondary objective was introduced to relate clinical outcome measures to identified robotic tools and techniques.
METHODS: Five databases were searched between February 2019 and August 2020, and 226 articles were found, 19 of which are included in the review.
RESULTS: Robotic devices, tasks, outcome measures, and clinical assessments were not consistent among studies from different settings but were consistent within laboratory groups. Fifteen of the 19 articles evaluated both typically developing and pathological populations.
CONCLUSION: To optimize universally comparable outcomes in future work, it is recommended that a standard set of tasks and measures is used to assess upper-limb motor function. Standardized tasks and measures will facilitate effective rehabilitation.
© The Author(s) 2020.

Entities:  

Keywords:  Robotics; children; motor function; quantification; quantify; review; typically developing; upper-limb

Year:  2020        PMID: 34497471      PMCID: PMC8282163          DOI: 10.1177/1179572720979013

Source DB:  PubMed          Journal:  Rehabil Process Outcome        ISSN: 1179-5727


  30 in total

1.  The Purdue pegboard; norms and studies of reliability and validity.

Authors:  J TIFFIN; E J ASHER
Journal:  J Appl Psychol       Date:  1948-06

2.  Age Effects on Upper Limb Kinematics Assessed by the REAplan Robot in Healthy Subjects Aged 3 to 93 Years.

Authors:  Maxime Gilliaux; Thierry M Lejeune; Julien Sapin; Bruno Dehez; Gaëtan Stoquart; Christine Detrembleur
Journal:  Ann Biomed Eng       Date:  2015-07-25       Impact factor: 3.934

3.  Assessment of upper-limb sensorimotor function of subacute stroke patients using visually guided reaching.

Authors:  Angela M Coderre; Amr Abou Zeid; Sean P Dukelow; Melanie J Demmer; Kimberly D Moore; Mary Jo Demers; Helen Bretzke; Troy M Herter; Janice I Glasgow; Kathleen E Norman; Stephen D Bagg; Stephen H Scott
Journal:  Neurorehabil Neural Repair       Date:  2010-03-16       Impact factor: 3.919

4.  Scale for the assessment and rating of ataxia: development of a new clinical scale.

Authors:  T Schmitz-Hübsch; S Tezenas du Montcel; L Baliko; J Berciano; S Boesch; C Depondt; P Giunti; C Globas; J Infante; J-S Kang; B Kremer; C Mariotti; B Melegh; M Pandolfo; M Rakowicz; P Ribai; R Rola; L Schöls; S Szymanski; B P van de Warrenburg; A Dürr; T Klockgether; Roberto Fancellu
Journal:  Neurology       Date:  2006-06-13       Impact factor: 9.910

5.  Sensory-motor deficits in children with fetal alcohol spectrum disorder assessed using a robotic virtual reality platform.

Authors:  Loriann Williams; Carl P T Jackson; Noreen Choe; Lucie Pelland; Stephen H Scott; James N Reynolds
Journal:  Alcohol Clin Exp Res       Date:  2013-08-05       Impact factor: 3.455

6.  Validation of a robot serious game assessment protocol for upper limb motor impairment in children with cerebral palsy.

Authors:  Stéphanie Dehem; Vincenza Montedoro; Isaline Brouwers; Martin Gareth Edwards; Christine Detrembleur; Gaëtan Stoquart; Anne Renders; Sophie Heins; Bruno Dehez; Thierry Lejeune
Journal:  NeuroRehabilitation       Date:  2019       Impact factor: 2.138

7.  Neuromotor noise limits motor performance, but not motor adaptation, in children.

Authors:  Craig D Takahashi; Dan Nemet; Christie M Rose-Gottron; Jennifer K Larson; Dan M Cooper; David J Reinkensmeyer
Journal:  J Neurophysiol       Date:  2003-08       Impact factor: 2.714

8.  Kinesthetic deficits after perinatal stroke: robotic measurement in hemiparetic children.

Authors:  Andrea M Kuczynski; Jennifer A Semrau; Adam Kirton; Sean P Dukelow
Journal:  J Neuroeng Rehabil       Date:  2017-02-15       Impact factor: 4.262

9.  Sensorimotor Robotic Measures of tDCS- and HD-tDCS-Enhanced Motor Learning in Children.

Authors:  Lauran Cole; Sean P Dukelow; Adrianna Giuffre; Alberto Nettel-Aguirre; Megan J Metzler; Adam Kirton
Journal:  Neural Plast       Date:  2018-12-18       Impact factor: 3.599

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  1 in total

Review 1.  Implementing Virtual Care in Neurology - Challenges and Pitfalls.

Authors:  Filzah Faheem; Zaitoon Zafar; Aisha Razzak; Junaid Siddiq Kalia
Journal:  J Cent Nerv Syst Dis       Date:  2022-07-01
  1 in total

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