short-paper

Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients

Authors:

Cristina Ramírez-Fernández,

Eloísa García-Canseco,

Alberto L. Morán,

Jorge R. Gómez-MontalvoAuthors Info & Claims

REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques

Pages 105 - 108

https://doi.org/10.1145/2838944.2838970

Published: 01 October 2015 Publication History

REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques

Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients

Pages 105 - 108

Abstract
References

Abstract

Today, the development of virtual reality (VR) applications for upper limb motor rehabilitation is still a difficult and time-consuming task. It requires developers to be skilled in motor rehabilitation, interaction devices, and stroke survivor characteristics, among others, to be able to develop a virtual environment (VE). In the literature there are several recommendations to aid in the design of VEs. However, to integrate the recommendations it is necessary to understand key domain concepts in motor rehabilitation. In this paper, we introduce VEULMoR, an ontology-based approach for designing VEs for Upper Limb Motor Rehabilitation. This approach uses the domain expertise coded into the ontology to shorten and facilitate the design of a VE. The information contained in the ontology can be used to denote the design factors that integrate the VE.

References

[1]

K. Hong and J. Saver. Quantifying the Value of Stroke Disability Outcomes: WHO Global Burden of Disease Project Disability Weights for Each Level of the Modified Rankin Scale. Stroke, 40(12):3828--3833, 2009.

[2]

A. Henderson, N. Korner-Bitensky, and M. Levin. Virtual Reality in Stroke Rehabilitation: A Systematic Review of its Effectiveness for Upper Limb Motor Recovery. In Topics in Stroke Rehabilitation, volume 14, pages 52--61. 2007.

[3]

A. Turolla, M. Dam, L. Ventura, P. Tonin, M. Agostini, C. Zucconi, P. Kiper, A. Cagnin, and L. Piron. Virtual reality for the rehabilitation of the upper limb motor function after stroke: a prospective controlled trial. Journal of NeuroEngineering and Rehabilitation, 10(1):1--9, January 2013.

[4]

N. Takeuchi and S. Izumi. Rehabilitation with Poststroke Motor Recovery: A Review with a Focus on Neural Plasticity. Stroke Research and Treatment, 2013:1--13, 2013.

[5]

M. Levin, P. Weiss, and E. Keshner. Emergence of Virtual Reality as a Tool for Upper Limb Rehabilitation: Incorporation of Motor Control and Motor Learning Principles. Physical Therapy, 95(3):415--426, 2015.

[6]

P. Duncan. Outcome measures in stroke rehabilitation. In Handbook of Clinical Neurology, volume 110, pages 105--11. Elsevier B.V., 1 edition, January 2013.

[7]

J. Kleim and T. Jones. Principles of Experience-Dependent Neural Plasticity: Implications for Rehabilitation After Brain Damage. Journal of Speech, Language, and Hearing Research, 51(1):S225--S239, February 2008.

[8]

G. Saposnik and M. Levin. Virtual Reality in Stroke Rehabilitation: A Meta-Analysis and Implications for Clinicians. Stroke, 42(5):1380--1386, May 2011.

[9]

C. Ramírez-Fernández, E. García-Canseco, and Alberto L. Morán. Towards a Set of Design Principles for Hapto-Virtual Rehabilitation Environments: Preliminary Results in Fine Motor Hand Therapy. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare, volume 5, pages 394--397. ICST, 2014.

Digital Library

[10]

C. Ramírez-Fernández, A. L. Morán, E. García-Canseco, and F. Orihuela-Espina. Design Factors of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients. In Proceedings of the 5th Mexican Conference on Human-Computer Interaction - MexIHC '14, pages 22--25, New York, New York, USA, 2014. ACM Press.

Digital Library

[11]

A. Timmermans, H. Seelen, R. Willmann, and H. Kingma. Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design. Journal of NeuroEngineering and Rehabilitation, 6(1):1--18, January 2009.

[12]

R. Studer, V. Benjamins, and D. Fensel. Knowledge Engineering: Principles and Methods. Data & Knowledge Engineering, 25(1--2):161--197, 1998.

Digital Library

[13]

O. Corcho, M. Fernández-López, and A. Gómez-Pérez. Methodologies, tools and languages for building ontologies. Where is their meeting point? Data and Knowledge Engineering, 46(1):41--64, 2003.

Digital Library

[14]

B. Chandrasekaran, J. Josephson, and V. Benjamins. What Are Ontologies, and Why Do We Need Them? IEEE Intelligent Systems and their Applications, 14(1):20--26, 1999.

Digital Library

[15]

M. Fernández-López and A. Gómez-Pérez. Overview and analysis of methodologies for building ontologies. The Knowledge Engineering Review, 17(2):129--156, 2002.

Digital Library

[16]

J. Gennari, M. Musen, R. Fergerson, W. Grosso, M. Crubezy, H. Eriksson, N. Noy, and S. Tu. The evolution of Protégé: an environment for knowledge-based systems development. International Journal of Human Computer Studies, 58(1):89--123, 2003.

Digital Library

[17]

B. Brewer, S. McDowell, and L. Worthen-Chaudhari. Poststroke Upper Extremity Rehabilitation: A Review of Robotic Systems and Clinical Results. Topics in Stroke Rehabilitation, 14(6):22--44, 2007.

[18]

S. Subramanian, L. Knaut, C. Beaudoin, B. McFadyen, A. Feldman, and M. Levin. Virtual reality environments for post-stroke arm rehabilitation. Journal of Neuroengineering and Rehabilitation, 4(20):1--5, January 2007.

[19]

R. Sigrist, G. Rauter, R. Riener, and P. Wolf. Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review. Psychonomic Bulletin & review, 20(1):21--53, 2013.

[20]

M. Marian. Ontologies Representation and Management, as a Semantic Tool for Organizational Memory Consolidation. Annals of the University of Oradea, Economic Science Series, 18(4):976--980, 2009.

[21]

F. Pittarello and A. De Faveri. Semantic Description of 3D Environments: a Proposal Based on Web Standards. In Proceedings of the Eleventh International Conference on 3D Web Technology - Web3D '06, volume 1, pages 85--95, 2006.

Digital Library

[22]

B. Pellens, O. De Troyer, W. Bille, F. Kleinermann, and R. Romero. An Ontology-Driven Approach for Modeling Behavior in Virtual Environments. In On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. Lecture Notes in Computer Science, pages 1215--1224. 2005.

Digital Library

[23]

S. Tang and M. Hanneghan. Game Content Model: An Ontology for Documenting Serious Game Design. In Proceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, pages 431--436, 2011.

Digital Library

[24]

C. Zhao and L. Zhang. Research of Information Presentation for Electronic Medical Record Based on Ontology. In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering, pages 489--492, 2013.

[25]

Z. Dogmus, E. Erdem, and V. Patoglu. REHABROBO-ONTO: Design, development and maintenance of a rehabilitation robotics ontology on the cloud. Robotics and Computer-Integrated Manufacturing, 33:100--109, 2015.

Digital Library

Cited By

Mohamad UAhmad MBenferdia YShapi'i ABajuri M(2021)An Overview of Ontologies in Virtual Reality-Based Training for Healthcare DomainFrontiers in Medicine10.3389/fmed.2021.6988558Online publication date: 9-Jul-2021
https://doi.org/10.3389/fmed.2021.698855
Fardoun HMashat A(2018)Technologies Solutions Schemes for Patients’ RehabilitationMethods of Information in Medicine10.3414/ME17-14-000256:02(83-87)Online publication date: 25-Jan-2018
https://doi.org/10.3414/ME17-14-0002
Ramírez-Fernández CMorán AGarcía-Canseco EGómez-Montalvo J(2018)Evaluation Results of an Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke PatientsMethods of Information in Medicine10.3414/ME16-02-001756:02(145-155)Online publication date: 25-Jan-2018
https://doi.org/10.3414/ME16-02-0017

Index Terms

Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke Patients
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory
2. Mathematics of computing
  1. Information theory

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REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques

October 2015

176 pages

ISBN:9781450338981

DOI:10.1145/2838944

Copyright © 2015 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]

In-Cooperation

KAU: King Abdulaziz University, Saudi Arabia
COFAC: COFAC / Universidade Lusofona de Humanidades e Tecnologías
UCLM: University of Castilla-La Mancha

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2015

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REHAB '15

REHAB '15: ICTs for improving Patients Rehabilitation Research Techniques

October 1 - 2, 2015

Lisbon, Portugal

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Cited By

Mohamad UAhmad MBenferdia YShapi'i ABajuri M(2021)An Overview of Ontologies in Virtual Reality-Based Training for Healthcare DomainFrontiers in Medicine10.3389/fmed.2021.6988558Online publication date: 9-Jul-2021
https://doi.org/10.3389/fmed.2021.698855
Fardoun HMashat A(2018)Technologies Solutions Schemes for Patients’ RehabilitationMethods of Information in Medicine10.3414/ME17-14-000256:02(83-87)Online publication date: 25-Jan-2018
https://doi.org/10.3414/ME17-14-0002
Ramírez-Fernández CMorán AGarcía-Canseco EGómez-Montalvo J(2018)Evaluation Results of an Ontology-based Design Model of Virtual Environments for Upper Limb Motor Rehabilitation of Stroke PatientsMethods of Information in Medicine10.3414/ME16-02-001756:02(145-155)Online publication date: 25-Jan-2018
https://doi.org/10.3414/ME16-02-0017

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