Literature DB >> 25467393

A comparative study of conventional physiotherapy versus robotic training combined with physiotherapy in patients with stroke.

U Dundar1, H Toktas1, O Solak1, A M Ulasli1, S Eroglu1.   

Abstract

BACKGROUND: There has been a growing interest in the use of robotic therapy to improve walking ability in individuals following stroke.
OBJECTIVES: The aim of this retrospective study was to compare conventional physiotherapy (CP) with robotic training (RT) combined with CP and to measure the effects on gait, balance, functional status, cognitive function, and quality of life in patient with stroke.
METHODS: We retrospectively identified 107 cases of new cerebral stroke. They were allocated into 2 groups. In the RT group (n = 36), patients received RT (Lokomat; 2 times per week) combined with CP (3 times per week) for at least 30 sessions. In the CP group (n = 71), patients received a program at least 30 sessions, 5 times per week. The evaluation parameters included modified Ashworth Spasticity Scale (MASS), Brunnstrom Recovery Scale (BRS), Functional Independence Measure (FIM), Functional Ambulation Categories (FAC), Berg Balance Scale (BBS), Mini-Mental State Examination (MMSE), and Short Form-36 (SF-36) Health Survey.
RESULTS: Posttreatment results showed significant improvements for all parameters (except lower extremity MASS scores) in both groups. However, when we compared the percentage changes of parameters at discharge relative to pretreatment values, improvements in FIM, MMSE, and all subparts of SF-36 were better in the RT group (P < .05). Comparison of posttreatment evaluation parameters for categorical variables showed that the lower extremity categories in the BRS were significantly better in the RT group than the CP group (P < .05).
CONCLUSION: RT combined with CP produced better improvement in FIM, MMSE, BRS lower extremity categories, and all subparts of SF-36 of the patients with subacute and chronic stroke (up to 1 year) than the CP program.

Entities:  

Keywords:  conventional physiotherapy; robotic rehabilitation; stroke

Mesh:

Year:  2014        PMID: 25467393     DOI: 10.1310/tsr2106-453

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  19 in total

1.  Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.

Authors:  Federica Tamburella; Juan C Moreno; Diana Sofía Herrera Valenzuela; Iolanda Pisotta; Marco Iosa; Febo Cincotti; Donatella Mattia; José L Pons; Marco Molinari
Journal:  J Neuroeng Rehabil       Date:  2019-07-23       Impact factor: 4.262

2.  The effects of body weight-supported treadmill training on static and dynamic balance in stroke patients: A pilot, single-blind, randomized trial.

Authors:  Rüstem Mustafaoğlu; Belgin Erhan; İpek Yeldan; Burcu Ersöz Hüseyinsinoğlu; Berrin Gündüz; Arzu Razak Özdinçler
Journal:  Turk J Phys Med Rehabil       Date:  2018-08-15

3.  Muscle Synergies Facilitate Computational Prediction of Subject-Specific Walking Motions.

Authors:  Andrew J Meyer; Ilan Eskinazi; Jennifer N Jackson; Anil V Rao; Carolynn Patten; Benjamin J Fregly
Journal:  Front Bioeng Biotechnol       Date:  2016-10-13

4.  Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

Authors:  Tabea Aurich-Schuler; Fabienne Grob; Hubertus J A van Hedel; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2017-07-14       Impact factor: 4.262

5.  A Comparative Study of Conventional Physiotherapy versus Robot-Assisted Gait Training Associated to Physiotherapy in Individuals with Ataxia after Stroke.

Authors:  Marcia Belas Dos Santos; Clarissa Barros de Oliveira; Arly Dos Santos; Cristhiane Garabello Pires; Viviana Dylewski; Ricardo Mario Arida
Journal:  Behav Neurol       Date:  2018-02-20       Impact factor: 3.342

6.  Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

Authors:  Cira Fundarò; Anna Giardini; Roberto Maestri; Silvia Traversoni; Michelangelo Bartolo; Roberto Casale
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

7.  Effectiveness of robotic-assisted gait training in stroke rehabilitation: A retrospective matched control study.

Authors:  Bryan Ping Ho Chung
Journal:  Hong Kong Physiother J       Date:  2016-11-09

8.  Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.

Authors:  Andreas Schicketmueller; Georg Rose; Marc Hofmann
Journal:  Sensors (Basel)       Date:  2019-11-05       Impact factor: 3.576

9.  Multi-Exergames to Set Targets and Supplement the Intensified Conventional Balance Training in Patients With Stroke: A Randomized Pilot Trial.

Authors:  Imre Cikajlo; Marko Rudolf; Renato Mainetti; Nunzio Alberto Borghese
Journal:  Front Psychol       Date:  2020-04-02

Review 10.  Baclofen in the Therapeutic of Sequele of Traumatic Brain Injury: Spasticity.

Authors:  Adán Pérez-Arredondo; Eduardo Cázares-Ramírez; Paul Carrillo-Mora; Marina Martínez-Vargas; Noemí Cárdenas-Rodríguez; Elvia Coballase-Urrutia; Radamés Alemón-Medina; Aristides Sampieri; Luz Navarro; Liliana Carmona-Aparicio
Journal:  Clin Neuropharmacol       Date:  2016 Nov/Dec       Impact factor: 1.592

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