CLASSIFICATION AND CLUSTERING OF BRAIN INJURIES FROM MOTION DATA OF PATIENTS IN A VIRTUAL REALITY ENVIRONMENT

Uri Feintuch, Larry Manevitz, Natan Silnitsky

2010

Abstract

Virtual Reality (VR) has been found to be an effective rehabilitation tool for brain injury patients. We show that motion data from these VR sessions can be effectively used to both cluster and classify patients according to types of injury. Neural Network and other tools were used to differentially classify patients with traumatic brain injury, cerebral vascular accident (stroke) with and without spatial neglect and healthy individuals solely from the motion data. Clustering techniques also successfully duplicated the classification division. These results have potential implications for scientific research, automated diagnosis and integrated individually adaptive therapies in the virtual reality technology.

References

  1. Deouell LY, Sacher Y, Soroker N. Assessment of spatial attention after brain damage with a dynamic reaction time test. J Intern Neuropsychol Society 2005; 11: 697- 707.
  2. Dvorkin AY, Rymer WZ, Harvey RL, Bogey RA, Patton JL (2008) Assessment and monitoring of recovery of spatial neglect within a virtual environment. In: IEEE Virtual Rehabilitation. p. 88-92, Vancouver, Canada.
  3. Katz, N., Ring H., Naveh, Y., Kizony, R., Feintuch, U. and Weiss, P.L. (2005). Interactive virtual environment training for safe street crossing of right hemisphere stroke patients with Unilateral Spatial Neglect. Disability and Rehabilitation, 29(2), 177-181.
  4. Patton, J. L., Dawe, G., Scharver, C., Mussa-Ivaldi, F.A., and Kenyon, R. (2006) Robotics and virtual reality: A perfect marriage for motor control research and rehabilitation. Assistive Technology 18: 181-195.
  5. Rand, D., Katz, N., Shahar, M., Kizony, R., and Weiss, P. L.: The virtual mall: development of a functional virtual environment for stroke rehabilitation. Abstracts of the 55th Annual Conference of the Israeli Association of Physical and Rehabilitation Medicine. Tel Aviv 2004.
  6. Robertson, I. H. and Halligan, P. W. Spatial neglect: a clinical handbook for diagnosis and treatment. Hove, UK: Psychology Press, 1999.
  7. Weiss, P.L., Kizony, R., Feintuch, U., & Katz, N. Virtual reality in neurorehabilitation. In M.E. Selzer, S. Clarke, L.G. Cohen, P. Duncan, & F. Gage (Eds.). Textbook of Neural Repair and Rehabilitation - Medical Rehabilitation. pp 182-197. Cambridge:
  8. Cambridge University Press. Cambridge. 2006.
Download


Paper Citation


in Harvard Style

Feintuch U., Manevitz L. and Silnitsky N. (2010). CLASSIFICATION AND CLUSTERING OF BRAIN INJURIES FROM MOTION DATA OF PATIENTS IN A VIRTUAL REALITY ENVIRONMENT . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 246-252. DOI: 10.5220/0003057302460252


in Bibtex Style

@conference{icnc10,
author={Uri Feintuch and Larry Manevitz and Natan Silnitsky},
title={CLASSIFICATION AND CLUSTERING OF BRAIN INJURIES FROM MOTION DATA OF PATIENTS IN A VIRTUAL REALITY ENVIRONMENT},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={246-252},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003057302460252},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - CLASSIFICATION AND CLUSTERING OF BRAIN INJURIES FROM MOTION DATA OF PATIENTS IN A VIRTUAL REALITY ENVIRONMENT
SN - 978-989-8425-32-4
AU - Feintuch U.
AU - Manevitz L.
AU - Silnitsky N.
PY - 2010
SP - 246
EP - 252
DO - 10.5220/0003057302460252