demonstration

Virtual rehabilitation system

Authors:

Ziying Tang,

Xiaohu Guo,

Balakrishnan PrabhakaranAuthors Info & Claims

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

Pages 833 - 836

https://doi.org/10.1145/1882992.1883119

Published: 11 November 2010 Publication History

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Abstract

With increasing costs for care giving as well as the number of persons requiring rehabilitation exercises, providing tele-rehabilitation programs becomes very attractive. In this paper, we propose a distributed virtual rehabilitation system which provides real-time interactions between patients and remote physicians. Specifically, using portable immersive facilities, along with a haptics-based exercise platform, therapist is able to assess and guide the patients with wearable body sensors at a different location. Instead of the expensive haptic force feedback communications over the Internet, we use different kinds of virtual 3D models in the virtual environments and keep a consistent simulation of deformable models over networks. Our system offers an interesting and flexible method which makes the rehabilitation an engaging process for both patients and physicians.

References

[1]

Burdea, G., Popescu V., V. Hentz, and K. Colbert. 2000. Virtual Reality-based Orthopedic Tele-rehabilitation. In IEEE Transactions on Rehabilitation Engineering, Vol. 8, No. 3, 429--432.

Crossref

Google Scholar

[2]

Chen, Y., H. Sundaram, T. Rikakis, L. Olson, T. Ingalls and J. He. 2008. Experiential Media Systems - The Biofeedback Project, in Multimedia Content Analysis: Theory and Applications. A. Divakaran (eds.), Springer Verlag.

Google Scholar

[3]

Deutsch, J., Lewis, J., and Burdea, G. 2007. Technical and patient Performance with a Virtual Reality-Integrated Telerehabilitation System. In IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 15(1), pp. 30--35.

Crossref

Google Scholar

[4]

Durfee, W.K., Savard, L., Weinstein, S. 2007. Technical Feasibility of Teleassessments for Rehabilitation. In IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23--29, Vol. 15 (1).

Google Scholar

[5]

Kuttuva, M., Boian, R., Merians, A., Burdea, G., Bouzit, M., Lewis, J. and D. Fensterheim. 2006. The Rutgers Arm: An Upper-Extremity Rehabilitation System in Virtual Reality. CyberTherapy and Behavior, Special Issue on IWVR.

Google Scholar

[6]

Li, H., Li, M. and Prabhakaran, B. 2006. Middleware for Streaming 3D Progressive Meshes over Lossy Networks. In ACM Transactions on Multimedia Computing, Communications, and Applications, 2(4): 282--317.

Digital Library

Google Scholar

[7]

Maricic, A. and Hiew, P.L. 2005. Biofeedback Computer Game-Based Training. 47th International Symposium ELMAR 2005, 8-10 June, Zadar, Croatia.

Google Scholar

[8]

Popescu V., Burdea, G., Bouzit, M., Girone, M. and Hentz, V. 2000. "A Virtual-Reality-Based Telerehabilitation System with Force Feedback," In IEEE Transactions on Information Technology in Biomedicine, vol. 4, No. 1, 45--51.

Digital Library

Google Scholar

[9]

Russell, T. G. 2007. Physical rehabilitation using telemedicine. Journal of Telemedicine & Telecare, 13(5), 217--220.

Crossref

Google Scholar

[10]

Tang, Z., Rong, G., Guo, X., Prabhakaran, B. 2010. Streaming 3D Shape Deformations in Collaborative Virtual Environment. In Proceedings of IEEE Virtual Reality Conference, 183--186.

Digital Library

Google Scholar

[11]

Todorov E., Shadmehr R, and Bizzi E. 1997. Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task. J Mot Behav 29: 147--158.

Crossref

Google Scholar

[12]

Wiihabillitation. http://www.wiihabilitation.org/

Google Scholar

[13]

Yang, Y., Rong, G., Torres, L. and Guo, X. 2010. Real-Time Hybrid Solid Simulation: Spectral Unification of Deformable and Rigid Materials. in Computer Animation and Virtual Worlds, vol. 21, No. 3-4, 151--159.

Digital Library

Google Scholar

Cited By

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Shapi'i ABahari NArshad HZin NMahayuddin Z(2015)Rehabilitation exercise game model for post-stroke using Microsoft Kinect camera2015 2nd International Conference on Biomedical Engineering (ICoBE)10.1109/ICoBE.2015.7235882(1-6)Online publication date: Mar-2015
https://doi.org/10.1109/ICoBE.2015.7235882
Teixeira APereira COliveira e Silva MAlvarelhão JSilva ACerqueira MMartins APacheco OAlmeida NOliveira CCosta RNeves AQueirós ARocha N(2013)New Telerehabilitation Services for the ElderlyHandbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care10.4018/978-1-4666-3990-4.ch006(109-132)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-3990-4.ch006

Index Terms

Virtual rehabilitation system

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Information

Published In

IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium

November 2010

886 pages

ISBN:9781450300308

DOI:10.1145/1882992

Editor:
Tiffany Veinot
University of Michigan, USA
,
General Chairs:
Ümit V. Çatalyürek
The Ohio State University, USA
,
Gang Luo
IBM Research, USA
,
Program Chairs:
Henrique Andrade
Goldman Sachs, USA
,
Neil R. Smalheiser
University of Illinois, Chicago, USA

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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SIGHIT: ACM Special Interest Group on Health Informatics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2010

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IHI '10: ACM International Health Informatics Symposium

November 11 - 12, 2010

Virginia, Arlington, USA

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Cited By

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Shapi'i ABahari NArshad HZin NMahayuddin Z(2015)Rehabilitation exercise game model for post-stroke using Microsoft Kinect camera2015 2nd International Conference on Biomedical Engineering (ICoBE)10.1109/ICoBE.2015.7235882(1-6)Online publication date: Mar-2015
https://doi.org/10.1109/ICoBE.2015.7235882
Teixeira APereira COliveira e Silva MAlvarelhão JSilva ACerqueira MMartins APacheco OAlmeida NOliveira CCosta RNeves AQueirós ARocha N(2013)New Telerehabilitation Services for the ElderlyHandbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care10.4018/978-1-4666-3990-4.ch006(109-132)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-3990-4.ch006

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Index Terms

Recommendations

Interactive 3-dimensional virtual reality rehabilitation for patients with chronic imbalance and vestibular dysfunction

Virtual reality gaming for rehabilitation: an evaluation study with physio- and occupational therapists

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