Literature DB >> 25367103

An augmented reality system for upper-limb post-stroke motor rehabilitation: a feasibility study.

Gilda Aparecida de Assis1, Ana Grasielle Dionísio Corrêa2, Maria Bernardete Rodrigues Martins3, Wendel Goes Pedrozo4, Roseli de Deus Lopes2.   

Abstract

PURPOSE: To determine the clinical feasibility of a system based on augmented reality for upper-limb (UL) motor rehabilitation of stroke participants.
METHOD: A physiotherapist instructed the participants to accomplish tasks in augmented reality environment, where they could see themselves and their surroundings, as in a mirror. Two case studies were conducted. Participants were evaluated pre- and post-intervention. The first study evaluated the UL motor function using Fugl-Meyer scale. Data were compared using non-parametric sign tests and effect size. The second study used the gain of motion range of shoulder flexion and abduction assessed by computerized biophotogrammetry.
RESULTS: At a significance level of 5%, Fugl-Meyer scores suggested a trend for greater UL motor improvement in the augmented reality group than in the other. Moreover, effect size value 0.86 suggested high practical significance for UL motor rehabilitation using the augmented reality system.
CONCLUSION: System provided promising results for UL motor rehabilitation, since enhancements have been observed in the shoulder range of motion and speed. Implications for Rehabilitation Gain of range of motion of flexion and abduction of the shoulder of post-stroke patients can be achieved through an augmented reality system containing exercises to promote the mental practice. NeuroR system provides a mental practice method combined with visual feedback for motor rehabilitation of chronic stroke patients, giving the illusion of injured upper-limb (UL) movements while the affected UL is resting. Its application is feasible and safe. This system can be used to improve UL rehabilitation, an additional treatment past the traditional period of the stroke patient hospitalization and rehabilitation.

Entities:  

Keywords:  Augmented reality; motor rehabilitation; myoelectric control; stroke; upper-limb

Mesh:

Year:  2014        PMID: 25367103     DOI: 10.3109/17483107.2014.979330

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


  7 in total

Review 1.  The Clinical Utility of Virtual Reality in Neurorehabilitation: A Systematic Review.

Authors:  Thais Massetti; Talita Dias da Silva; Tânia Brusque Crocetta; Regiani Guarnieri; Bruna Leal de Freitas; Priscila Bianchi Lopes; Suzanna Watson; James Tonks; Carlos Bandeira de Mello Monteiro
Journal:  J Cent Nerv Syst Dis       Date:  2018-11-27

2.  Long-term Effectiveness and Adoption of a Cellphone Augmented Reality System on Patients with Stroke: Randomized Controlled Trial.

Authors:  Chong Li; Xinyu Song; Jie Jia; Peter Shull; Shugeng Chen; Chuankai Wang; Jieying He; Yongli Zhang; Shuo Xu; Zhijie Yan
Journal:  JMIR Serious Games       Date:  2021-11-23       Impact factor: 4.143

Review 3.  Effectiveness of Augmented Reality for Lower Limb Rehabilitation: A Systematic Review.

Authors:  Hongbin Chang; Yang Song; Xuanzhen Cen
Journal:  Appl Bionics Biomech       Date:  2022-07-18       Impact factor: 1.664

Review 4.  Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: a systematic review and meta-analysis.

Authors:  Sze Chit Leong; Yuk Ming Tang; Fong Mei Toh; Kenneth N K Fong
Journal:  J Neuroeng Rehabil       Date:  2022-08-24       Impact factor: 5.208

Review 5.  Augmented Reality: A Brand New Challenge for the Assessment and Treatment of Psychological Disorders.

Authors:  Irene Alice Chicchi Giglioli; Federica Pallavicini; Elisa Pedroli; Silvia Serino; Giuseppe Riva
Journal:  Comput Math Methods Med       Date:  2015-08-03       Impact factor: 2.238

6.  What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes.

Authors:  Anna Aminov; Jeffrey M Rogers; Sandy Middleton; Karen Caeyenberghs; Peter H Wilson
Journal:  J Neuroeng Rehabil       Date:  2018-03-27       Impact factor: 4.262

7.  Predicting Gains With Visuospatial Training After Stroke Using an EEG Measure of Frontoparietal Circuit Function.

Authors:  Robert J Zhou; Hossein M Hondori; Maryam Khademi; Jessica M Cassidy; Katherine M Wu; Derek Z Yang; Nikhita Kathuria; Fareshte R Erani; Lucy Dodakian; Alison McKenzie; Cristina V Lopes; Walt Scacchi; Ramesh Srinivasan; Steven C Cramer
Journal:  Front Neurol       Date:  2018-07-24       Impact factor: 4.003

  7 in total

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