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A Mirror-Hand Rehabilitation System Based on Virtual Reality Interaction

Published: 06 March 2024 Publication History

Abstract

The application of robotics in the field of home rehabilitation training has revolutionized the way patients receive treatment. However, current rehabilitation robotic systems often lack diverse training methods and sufficient feedback channels, resulting in challenges for patients to sustain long-term engagement in rehabilitation training. This paper introduces a novel hand rehabilitation robot system that leverages virtual reality technology, multi-channel feedback technology, and mirror therapy to facilitate autonomous hand rehabilitation treatment for patients in a home setting. The system comprises a soft glove, a computer equipped with virtual interaction scenes, Leapmotion sensors, and a soft glove control box. To evaluate the usability and patient acceptance of the system, a clinical trial involving five patients was conducted. The trial results demonstrated noteworthy improvements in finger grip strength, with an increase from 8.74 ± 14.2 N to 17.82 ± 13.63 N when utilizing the soft glove. Furthermore, patients' upper extremity function assessment scale (ARAT) scores exhibited improvement from 12.4 ± 23.44 to 24.44 ± 25.89, and their functional ability for daily living (ADL) showed improvement from 43.8 ± 47.22 to 50.6 ± 43.24. These measurements indicated significant enhancements compared to the baseline, signifying that the proposed system did not compromise finger functionality. Additionally, the results of a user acceptance questionnaire, consisting of seven surveys administered to the patients, demonstrated a positive score of 4.18 ± 0.61 and a negative score of 0.95 ± 0.57. These outcomes reflect a high level of acceptance among patients, affirming the system's safety and effectiveness in providing a comfortable and reliable platform for rehabilitation training.

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ICRAI '23: Proceedings of the 2023 9th International Conference on Robotics and Artificial Intelligence
November 2023
72 pages
ISBN:9798400708282
DOI:10.1145/3637843
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2024

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Author Tags

  1. Pneumatic Actuators
  2. Rehabilitation Robotics
  3. Wearable Robotics

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Basic Research Project of Shenzhen
  • Jiangsu Province Key R&D Program Projects
  • National Basic Research Priorities Program of China

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ICRAI 2023

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