Literature DB >> 32925119

Sensor-based technology for upper limb rehabilitation in patients with multiple sclerosis: A randomized controlled trial.

Marco Tramontano1,2, Giovanni Morone1, Sara De Angelis1, Laura Casagrande Conti1, Giovanni Galeoto3, Maria Grazia Grasso1.   

Abstract

BACKGROUND: Sensor-based technological therapy devices may be good candidates for neuromotor rehabilitation of people with Multiple Sclerosis (MS), especially for treating upper extremities function limitations. The sensor-based device rehabilitation is characterized by interactive therapy games with audio-visual feedback that allows training the movement of shoulders, elbows, and wrist, measuring the strength and the active range of motion of upper limb, registering data in an electronic database to quantitatively monitoring measures and therapy progress.
OBJECTIVE: This study aimed to investigate the effects of sensor-based motor rehabilitation in add-on to the conventional neurorehabilitation, on increasing the upper limb functions of patients with MS.
METHODS: Thirty patients were enrolled in the study and randomly assigned to the experimental group and the control group. The training consisting of twelve sessions of upper limb training was compared with twelve sessions of upper limb sensory-motor training, without robotic support. Both rehabilitation programs were performed for 40 minutes three times a week, for 4 weeks, in addition to conventional therapy. All patients were evaluated at the baseline (T0) and after 4 weeks of training (T1).
RESULTS: The within-subject analysis showed a statistically significant improvement in both groups, in the Modified Barthel Index and in the Rivermead Mobility Index scores and a significant improvement in Multiple Sclerosis Quality of Life-54 in the experimental. The analysis of effectiveness revealed that, compared with baseline (T0), the improvement percentage in all clinical scale scores was greater in the experimental group than the control group.
CONCLUSIONS: Proposed training provides an intensive and functional-oriented rehabilitation that objectively evaluates achieved progress through exercises. Therefore, it can represent a good complementary strategy for hand rehabilitation in MS patients.

Entities:  

Keywords:  Multiple sclerosis; hand rehabilitation; sensor-based therapy

Mesh:

Year:  2020        PMID: 32925119     DOI: 10.3233/RNN-201033

Source DB:  PubMed          Journal:  Restor Neurol Neurosci        ISSN: 0922-6028            Impact factor:   2.406


  6 in total

1.  Evaluation of the Psychometric Properties of the Revised Piper Fatigue Scale in Patients with Multiple Sclerosis.

Authors:  Anna Berardi; Giulia Graziosi; Gina Ferrazzano; Laura Casagrande Conti; Maria Grazia Grasso; Marco Tramontano; Antonella Conte; Giovanni Galeoto
Journal:  Healthcare (Basel)       Date:  2022-05-25

Review 2.  Vibrotactile-Based Rehabilitation on Balance and Gait in Patients with Neurological Diseases: A Systematic Review and Metanalysis.

Authors:  Sara De Angelis; Alessandro Antonio Princi; Fulvio Dal Farra; Giovanni Morone; Carlo Caltagirone; Marco Tramontano
Journal:  Brain Sci       Date:  2021-04-19

3.  Evaluation of the Psychometric Properties of Jebsen Taylor Hand Function Test (JTHFT) in Italian Individuals With Multiple Sclerosis.

Authors:  Anna Berardi; Giovanni Galeoto; Federica Pasquali; Viola Baione; Sebastiano Giuseppe Crisafulli; Marco Tofani; Matteo Tartaglia; Giovanni Fabbrini; Antonella Conte
Journal:  Front Neurol       Date:  2022-03-18       Impact factor: 4.003

4.  Evaluation of the Psychometric Properties of the Health Assessment Questionnaire (HAQ) in a Population of Individuals With Multiple Sclerosis.

Authors:  Anna Berardi; Antonella Conte; Lucilla Cimmino; Carlotta Cimmino; Viola Baione; Sebastiano Giuseppe Crisafulli; Marco Tofani; Matteo Tartaglia; Giovanni Fabbrini; Giovanni Galeoto
Journal:  Front Neurol       Date:  2022-03-28       Impact factor: 4.003

5.  Italian Version of the Pittsburgh Rehabilitation Participation Scale: Psychometric Analysis of Validity and Reliability.

Authors:  Marco Iosa; Giovanni Galeoto; Daniela De Bartolo; Valentina Russo; Ilaria Ruotolo; Grazia Fernanda Spitoni; Irene Ciancarelli; Marco Tramontano; Gabriella Antonucci; Stefano Paolucci; Giovanni Morone
Journal:  Brain Sci       Date:  2021-05-13

Review 6.  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
  6 in total

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