Literature DB >> 31987544

Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.

Marco Franceschini1, Stefano Mazzoleni2, Michela Goffredo3, Sanaz Pournajaf4, Daniele Galafate5, Simone Criscuolo6, Maurizio Agosti7, Federico Posteraro8.   

Abstract

This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted Therapy (RT) compared to Traditional physical Therapy (TT), in subacute stroke patients. Although the literature on upper-limb rehabilitation with robots shows increasing evidence of its effectiveness in stroke survivors, the length of time for which the re-learned motor abilities could be maintained is still understudied. A randomized controlled follow-up study was conducted on 48 subacute stroke patients who performed the upper-limb therapy using a planar end-effector robotic system (Experimental Group-EG) or TT (Control Group-CG). The clinical assessments were collected at T0 (baseline), T1 (end of treatment) and T2 (6 months follow-up): Upper Limb part of Fugl-Meyer assessment (FM-UL), total passive Range Of Motion (pROM), Modified Ashworth Scale Shoulder (MAS-S) and Elbow (MAS-E). At T1, the intra-group analysis showed significant gain of FM-UL in both EG and CG, while significant improvement in MAS-S, MAS-E, and pROM were found in the EG only. At T2, significant increase in MAS-S were revealed only in the CG. In FM-UL, pROM and MAS-E the improvements obtained at the end of treatment seem to be maintained at 6 months follow-up in both groups. The inter-groups analysis of FM-UL values at T1 and T2 demonstrated significant differences in favour of EG. In conclusion, upper limb Robot-assisted Therapy may lead a greater reduction of motor impairment in subacute stroke patients compared to Traditional Therapy. The gains observed at the end of treatment persisted over time. No serious adverse events related to the study occurred.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Follow-up; Rehabilitation; Robot-assisted therapy; Stroke; Upper limb

Mesh:

Year:  2019        PMID: 31987544     DOI: 10.1016/j.jbmt.2019.03.016

Source DB:  PubMed          Journal:  J Bodyw Mov Ther        ISSN: 1360-8592


  7 in total

Review 1.  Nonsurgical Treatment Options for Muscle Contractures in Individuals With Neurologic Disorders: A Systematic Review With Meta-Analysis.

Authors:  Christian Svane; Jens Bo Nielsen; Jakob Lorentzen
Journal:  Arch Rehabil Res Clin Transl       Date:  2021-01-13

2.  The Effect of Early Applied Robot-Assisted Physiotherapy on Functional Independence Measure Score in Post-Myocardial Infarction Patients.

Authors:  Peter Bartík; Michal Vostrý; Zuzana Hudáková; Peter Šagát; Anna Lesňáková; Andrej Dukát
Journal:  Healthcare (Basel)       Date:  2022-05-18

3.  Relative independence of upper limb position sense and reaching in children with hemiparetic perinatal stroke.

Authors:  Andrea M Kuczynski; Adam Kirton; Jennifer A Semrau; Sean P Dukelow
Journal:  J Neuroeng Rehabil       Date:  2021-05-12       Impact factor: 4.262

4.  Gait Recovery with an Overground Powered Exoskeleton: A Randomized Controlled Trial on Subacute Stroke Subjects.

Authors:  Franco Molteni; Eleonora Guanziroli; Michela Goffredo; Rocco Salvatore Calabrò; Sanaz Pournajaf; Marina Gaffuri; Giulio Gasperini; Serena Filoni; Silvano Baratta; Daniele Galafate; Domenica Le Pera; Placido Bramanti; Marco Franceschini
Journal:  Brain Sci       Date:  2021-01-14

5.  Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers.

Authors:  Michela Goffredo; Sanaz Pournajaf; Stefania Proietti; Annalisa Gison; Federico Posteraro; Marco Franceschini
Journal:  Front Neurol       Date:  2021-12-21       Impact factor: 4.003

Review 6.  A Literature Review of High-Tech Physiotherapy Interventions in the Elderly with Neurological Disorders.

Authors:  Marios Spanakis; Ioanna Xylouri; Evridiki Patelarou; Athina Patelarou
Journal:  Int J Environ Res Public Health       Date:  2022-07-28       Impact factor: 4.614

7.  Development of a Low-Cost EEG-Controlled Hand Exoskeleton 3D Printed on Textiles.

Authors:  Rommel S Araujo; Camille R Silva; Severino P N Netto; Edgard Morya; Fabricio L Brasil
Journal:  Front Neurosci       Date:  2021-06-25       Impact factor: 4.677

  7 in total

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