research-article

VR System for Neurorehabilitation: Where Technology Meets Medicine for Empowering Patients and Therapists in the Rehabilitation Process

Authors:

Iulia-Cristina Stănică,

Florica Moldoveanu,

Maria-Iuliana Dascălu,

Alin Moldoveanu,

Giovanni-Paul Portelli,

Constanta Nicoleta BodeaAuthors Info & Claims

ECBS '19: Proceedings of the 6th Conference on the Engineering of Computer Based Systems

Article No.: 5, Pages 1 - 7

https://doi.org/10.1145/3352700.3352705

Published: 02 September 2019 Publication History

Abstract

Globally, rehabilitation in healthcare systems requires major improvements so that affordable, high-quality services will become available to a larger scale. Rehabilitation benefits both individuals and the entire community from an economic and social point of view. There are different types of rehabilitation, for a wide range of medical conditions, and each type requires a series of specific procedures performed by the patient, under therapist's guidance. Unfortunately, classical rehabilitation techniques have severe limitations in terms of results and large-scale availability, due to costs and lack of specialists. It is thus necessary to use the advantages of modern technologies, such as robotics, sensors or virtual reality in order to improve the results and make them accessible to many patients.

In this paper, first we analyze the medical conditions that need specific neurorehabilitation procedures and their classical, currently used therapies. Then, we point out the potential of rehabilitation technologies based on robotics and virtual reality. Finally, we describe our own system concept, which uses virtual reality and movement tracking sensors for treating a series of neurological conditions. The system consists of two subsystems: one for the actual patients' rehabilitation and one for training the medical staff (students, residents, nurses, chiropractors or physicians) involved in neurorehabilitation. The system's architecture is easily extendable with new functionalities, specific to other types of rehabilitation.

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Cited By

Shimabukuro SMiyake TTamaki E(2024)Analyzing the Differences in the Degree of Force Application Between Novice and Expert Physiotherapists Using a Muscle Deformation SensorCureus10.7759/cureus.59801Online publication date: 7-May-2024
https://doi.org/10.7759/cureus.59801
Doolani SWessels CKanal VSevastopoulos CJaiswal ANambiappan HMakedon F(2020)A Review of Extended Reality (XR) Technologies for Manufacturing TrainingTechnologies10.3390/technologies80400778:4(77)Online publication date: 10-Dec-2020
https://doi.org/10.3390/technologies8040077
Wang BZhang RXi CSun JYang X(2020)Virtual and Real-Time Synchronous Interaction for Playing Table Tennis with Holograms in Mixed RealitySensors10.3390/s2017485720:17(4857)Online publication date: 27-Aug-2020
https://doi.org/10.3390/s20174857

Index Terms

VR System for Neurorehabilitation: Where Technology Meets Medicine for Empowering Patients and Therapists in the Rehabilitation Process
1. Computing methodologies
  1. Computer graphics
  2. Modeling and simulation
    1. Simulation types and techniques
      1. Simulation by animation

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cover image ACM Other conferences

ECBS '19: Proceedings of the 6th Conference on the Engineering of Computer Based Systems

September 2019

182 pages

ISBN:9781450376365

DOI:10.1145/3352700

Copyright © 2019 ACM.

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 ACM 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

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Publication History

Published: 02 September 2019

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ECBS '19

ECBS '19: 6th Conference on the Engineering of Computer Based Systems

September 2 - 3, 2019

Bucharest, Romania

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ECBS '19 Paper Acceptance Rate 25 of 49 submissions, 51%;

Overall Acceptance Rate 25 of 49 submissions, 51%

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Cited By

Shimabukuro SMiyake TTamaki E(2024)Analyzing the Differences in the Degree of Force Application Between Novice and Expert Physiotherapists Using a Muscle Deformation SensorCureus10.7759/cureus.59801Online publication date: 7-May-2024
https://doi.org/10.7759/cureus.59801
Doolani SWessels CKanal VSevastopoulos CJaiswal ANambiappan HMakedon F(2020)A Review of Extended Reality (XR) Technologies for Manufacturing TrainingTechnologies10.3390/technologies80400778:4(77)Online publication date: 10-Dec-2020
https://doi.org/10.3390/technologies8040077
Wang BZhang RXi CSun JYang X(2020)Virtual and Real-Time Synchronous Interaction for Playing Table Tennis with Holograms in Mixed RealitySensors10.3390/s2017485720:17(4857)Online publication date: 27-Aug-2020
https://doi.org/10.3390/s20174857

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