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 language | English |
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Title of host publication | 2023 IEEE Engineering Informatics |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 6 |
ISBN (Electronic) | 9798350338522 |
ISBN (Print) | 9798350338539 |
DOIs | |
Publication status | Published - 14 May 2024 |
Event | 2023 IEEE Conference on Engineering Informatics, EI 2023 - Melbourne, Australia Duration: 22 Nov 2023 → 23 Nov 2023 |
Publication series
Name | Engineering Informatics, IEEE |
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Conference
Conference | 2023 IEEE Conference on Engineering Informatics, EI 2023 |
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Country/Territory | Australia |
City | Melbourne |
Period | 22/11/23 → 23/11/23 |
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