The Metaverse for Stroke Motor Rehabilitation

Chi Sang Choy, Qiang Fang, Katrina Neville, Beth Jelfs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stroke is a critical illness that causes disabilities and fatalities. The current standard motor rehabilitation usually requires some residual movement of stroke patients, limiting participation. Movement imagination, known as motor imagery (MI), potentially expedites motor rehabilitation by activating the motor brain areas, which may facilitate neuroplasticity. MI is, however, a difficult ability that may deteriorate over time. The Metaverse, a virtual reality (VR) social media platform, provides an immersive and interactive environment that allows stroke patients to experience the embodiment of their MI performance via their avatars. This paper provides a framework to design a Metaverse stroke motor rehabilitation program, outlining the essential elements required from the Metaverse and the challenges in implementing the Metaverse in stroke motor rehabilitation. Future research directions are identified that provide solutions and facilitate stroke recovery in motor functions through more advanced and innovative digital technologies suitable for vulnerable stroke patients.

Original languageEnglish
Title of host publication2023 IEEE Engineering Informatics
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9798350338522
ISBN (Print)9798350338539
DOIs
Publication statusPublished - 14 May 2024
Event2023 IEEE Conference on Engineering Informatics, EI 2023 - Melbourne, Australia
Duration: 22 Nov 202323 Nov 2023

Publication series

NameEngineering Informatics, IEEE

Conference

Conference2023 IEEE Conference on Engineering Informatics, EI 2023
Country/TerritoryAustralia
CityMelbourne
Period22/11/2323/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Metaverse
  • motor imagery
  • neuroplasticity
  • rehabilitation
  • stroke

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Mechanical Engineering
  • Media Technology
  • Control and Optimization
  • Health Informatics

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