Literature DB >> 28125300

The impact of robot-mediated adaptive I-TRAVLE training on impaired upper limb function in chronic stroke and multiple sclerosis.

Anneleen Maris1, Karin Coninx2, Henk Seelen3, Veronik Truyens4, Tom De Weyer2, Richard Geers3, Mieke Lemmens4, Jolijn Coolen4, Sandra Stupar3, Ilse Lamers1, Peter Feys1.   

Abstract

PURPOSE: The current study aimed to investigate proof-of-concept efficacy of an individualized, robot-mediated training regime for people with MS (pwMS) and stroke patients.
METHOD: Thirteen pwMS and 14 chronic stroke patients performed 36 (stroke) or 40 (pwMS) training sessions with the I-TRAVLE system. Evaluation of upper limb function was performed at baseline, after training and at 3 months follow-up. Clinical outcome measures consisted of active range of motion (ROM), Motricity Index, Jamar handgrip strength, perceived fatigue and strength, Wolf Motor Function Test (WFMT) and ABILHAND. Robot-generated outcome measures consisted of movement velocity, ROM and actual covered distance compared to straight-line distance.
RESULTS: In pwMS, significant improvements were found after training in active shoulder ROM, handgrip strength, perceived strength and WMFT activities. No significant change in clinical outcome was found in stroke patients, except for perceived strength. Significant improvement in speed and movement duration was found after training in both groups. At follow-up, clinical outcome deteriorated in pwMS and was maintained in stroke patients.
CONCLUSIONS: Robot-mediated training resulted in improved movement coordination in both groups, as well as clinical improvement in pwMS. Absence of functional improvements in stroke patients may relate to severe upper limb dysfunction at baseline. Implications for Rehabilitation Robot-mediated training improved strength, active range of motion and upper limb capacity in pwMS. Robot-mediated therapy allows for adapted training difficulty.

Entities:  

Keywords:  Haptic feedback; multiple sclerosis; rehabilitation; stroke; upper limb; virtual reality

Mesh:

Year:  2017        PMID: 28125300     DOI: 10.1080/17483107.2016.1278467

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


  8 in total

1.  What the Tech? The Management of Neurological Dysfunction Through the Use of Digital Technology.

Authors:  Caitlin Carswell; Paul M Rea
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

2.  Mobile Mechatronic/Robotic Orthotic Devices to Assist-Rehabilitate Neuromotor Impairments in the Upper Limb: A Systematic and Synthetic Review.

Authors:  Gelu Onose; Nirvana Popescu; Constantin Munteanu; Vlad Ciobanu; Corina Sporea; Marian-Daniel Mirea; Cristina Daia; Ioana Andone; Aura Spînu; Andrada Mirea
Journal:  Front Neurosci       Date:  2018-09-05       Impact factor: 4.677

3.  Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.

Authors:  Christoph M Kanzler; Ilse Lamers; Peter Feys; Roger Gassert; Olivier Lambercy
Journal:  Med Biol Eng Comput       Date:  2021-11-25       Impact factor: 2.602

Review 4.  Adaptations in Muscular Strength for Individuals With Multiple Sclerosis Following Robotic Rehabilitation: A Scoping Review.

Authors:  Kailynn Mannella; Alan C Cudlip; Michael W R Holmes
Journal:  Front Rehabil Sci       Date:  2022-05-06

5.  Improving public health through the development of local scientific capacity and training in rehabilitation in LMICs: A proof-of-concept of collaborative efforts in Parakou, Benin.

Authors:  Bruno Bonnechère; Oyéné Kossi; Thierry Adoukonou; Karin Coninx; Annemie Spooren; Peter Feys
Journal:  Front Public Health       Date:  2022-09-07

6.  The Design, Development, and Testing of a Virtual Reality Device for Upper Limb Training in People With Multiple Sclerosis: Single-Center Feasibility Study.

Authors:  Alon Kalron; Lior Frid; Iliya Fonkatz; Shay Menascu; Mark Dolev; David Magalashvili; Anat Achiron
Journal:  JMIR Serious Games       Date:  2022-09-12       Impact factor: 3.364

Review 7.  Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

Authors:  Stefano Mazzoleni; Christophe Duret; Anne Gaëlle Grosmaire; Elena Battini
Journal:  Biomed Res Int       Date:  2017-09-13       Impact factor: 3.411

8.  The effect of a telerehabilitation virtual reality intervention on functional upper limb activities in people with multiple sclerosis: a study protocol for the TEAMS pilot randomized controlled trial.

Authors:  Alon Kalron; Anat Achiron; Massimiliano Pau; Eleonora Cocco
Journal:  Trials       Date:  2020-08-12       Impact factor: 2.279

  8 in total

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