Literature DB >> 29334467

Robot-assisted upper extremity rehabilitation for cervical spinal cord injuries: a systematic scoping review.

Hardeep Singh1,2, Janelle Unger1,2, José Zariffa1,2,3, Maureen Pakosh1, Susan Jaglal1,2,4,5, B Catharine Craven1,2,6, Kristin E Musselman1,2,4.   

Abstract

Abstact Purpose: To provide an overview of the feasibility and outcomes of robotic-assisted upper extremity training for individuals with cervical spinal cord injury (SCI), and to identify gaps in current research and articulate future research directions.
MATERIALS AND METHODS: A systematic search was conducted using Medline, Embase, PsycINFO, CCTR, CDSR, CINAHL and PubMed on June 7, 2017. Search terms included 3 themes: (1) robotics; (2) SCI; (3) upper extremity. Studies using robots for upper extremity rehabilitation among individuals with cervical SCI were included. Identified articles were independently reviewed by two researchers and compared to pre-specified criteria. Disagreements regarding article inclusion were resolved through discussion. The modified Downs and Black checklist was used to assess article quality. Participant characteristics, study and intervention details, training outcomes, robot features, study limitations and recommendations for future studies were abstracted from included articles.
RESULTS: Twelve articles (one randomized clinical trial, six case series, five case studies) met the inclusion criteria. Five robots were exoskeletons and three were end-effectors. Sample sizes ranged from 1 to 17 subjects. Articles had variable quality, with quality scores ranging from 8 to 20. Studies had a low internal validity primarily from lack of blinding or a control group. Individuals with mild-moderate impairments showed the greatest improvements on body structure/function and performance-level measures. This review is limited by the small number of articles, low-sample sizes and the diversity of devices and their associated training protocols, and outcome measures.
CONCLUSIONS: Preliminary evidence suggests robot-assisted interventions are safe, feasible and can reduce active assistance provided by therapists. Implications for rehabilitation Robot-assisted upper extremity training for individuals with cervical spinal cord injury is safe, feasible and can reduce hands-on assistance provided by therapists. Future research in robotics rehabilitation with individuals with spinal cord injury is needed to determine the optimal device and training protocol as well as effectiveness.

Entities:  

Keywords:  Spinal cord injury; exoskeleton device; robotics; tetraplegia; upper extremity

Mesh:

Year:  2018        PMID: 29334467     DOI: 10.1080/17483107.2018.1425747

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  8 in total

1.  A single-subject study of robotic upper limb training in the subacute phase for four persons with cervical spinal cord injury.

Authors:  Linda Sørensen; Grethe Månum
Journal:  Spinal Cord Ser Cases       Date:  2019-03-12

2.  Characteristics of activity-based therapy interventions for people living with spinal cord injury or disease across the continuum of care: a scoping review protocol.

Authors:  Anita Kaiser; Katherine Chan; Maureen Pakosh; Kristin E Musselman
Journal:  BMJ Open       Date:  2020-07-23       Impact factor: 2.692

3.  The Rehabilitation and the Robotics: Are They Going Together Well?

Authors:  Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2020-12-30

4.  Development of Reaching, Grasping & Manipulation indicators to advance the quality of spinal cord injury rehabilitation: SCI-High Project.

Authors:  Sukhvinder Kalsi-Ryan; Naaz Kapadia; Dany H Gagnon; Molly C Verrier; Jennifer Holmes; Heather Flett; Farnoosh Farahani; S Mohammad Alavinia; Maryam Omidvar; Matheus J Wiest; B Catharine Craven
Journal:  J Spinal Cord Med       Date:  2021       Impact factor: 1.985

Review 5.  Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review.

Authors:  Federica Tamburella; Matteo Lorusso; Marco Tramontano; Silvia Fadlun; Marcella Masciullo; Giorgio Scivoletto
Journal:  J Neuroeng Rehabil       Date:  2022-03-15       Impact factor: 4.262

6.  Information Security in Medical Robotics: A Survey on the Level of Training, Awareness and Use of the Physiotherapist.

Authors:  Lisa Monoscalco; Rossella Simeoni; Giovanni Maccioni; Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2022-01-14

Review 7.  Upper Limb Robotic Rehabilitation for Patients with Cervical Spinal Cord Injury: A Comprehensive Review.

Authors:  Giovanni Morone; Alessandro de Sire; Alex Martino Cinnera; Matteo Paci; Luca Perrero; Marco Invernizzi; Lorenzo Lippi; Michela Agostini; Irene Aprile; Emanuela Casanova; Dario Marino; Giuseppe La Rosa; Federica Bressi; Silvia Sterzi; Daniele Giansanti; Alberto Battistini; Sandra Miccinilli; Serena Filoni; Monica Sicari; Salvatore Petrozzino; Claudio Marcello Solaro; Stefano Gargano; Paolo Benanti; Paolo Boldrini; Donatella Bonaiuti; Enrico Castelli; Francesco Draicchio; Vincenzo Falabella; Silvia Galeri; Francesca Gimigliano; Mauro Grigioni; Stefano Mazzoleni; Stefano Mazzon; Franco Molteni; Maurizio Petrarca; Alessandro Picelli; Marialuisa Gandolfi; Federico Posteraro; Michele Senatore; Giuseppe Turchetti; Sofia Straudi
Journal:  Brain Sci       Date:  2021-12-10

Review 8.  Advanced rehabilitation technology in orthopaedics-a narrative review.

Authors:  Yuichi Kuroda; Matthew Young; Haitham Shoman; Anuj Punnoose; Alan R Norrish; Vikas Khanduja
Journal:  Int Orthop       Date:  2020-10-13       Impact factor: 3.075

  8 in total

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