| A virtual reality-based exercise program for stroke rehabilitation |
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ACM SIGACCESS Conference on Assistive Technologies
archive
Proceedings of the fourth international ACM conference on Assistive technologies
table of contents
Arlington, Virginia, United States
Pages: 56 - 63
Year of Publication: 2000
ISBN:1-58113-314-8
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Authors
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David Jack
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Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ and Dept of Comp. and Info. Sci., New Jersey Institute of Technology, Newark, NJ
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Rares Boian
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Center for Advanced, Information Processing, Rutgers University, Piscataway, NJ
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Alma Merians
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Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ and University of Medicine and Dentistry of New Jersey, Newark, NJ
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Sergei V. Adamovich
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Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ
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Marilyn Tremaine
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Center for Advanced, Information Processing, Rutgers University, Piscataway, NJ
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Michael Recce
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Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ and Dept of Comp. and Info. Sci., New Jersey Institute of Technology, Newark, NJ
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Grigore C. Burdea
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Center for Advanced, Information Processing, Rutgers University, Piscataway, NJ
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Howard Poizner
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Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ
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Downloads (6 Weeks): 27, Downloads (12 Months): 179, Citation Count: 1
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REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Dam, M., et al., The Effects of Long-Term Rehabilitation Therapy on Poststroke Hemiplegic Patients. Stroke, 1993. 24: p. 1186- 1191.
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Duncan, P., Synthesis of Intervention Trials to Improve Motor Recovery Following Stroke. Stroke Rehabilitation, 1997. 3(4): p. 1-20.
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Holden, M., et al., Virtual Environment Training Improves Motor Performance in Two Patients with Stroke: Case Report. Neurology Report, 1999. 23(2): p. 57-67.
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Inma, D., et al., Teaching Orthopedically Impaired Children to Drive Motorized Wheelchairs in Virtual Reality, in Center on Disabilities Virtual Reality Conference. 1994.
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Jenkins, W. and M. Merzenich, Reorganization of Neocortical Representations after Brain Injury: a Neurophysiological Model of the Bases of Recovery from Stroke., in Progress in Brain, F. Seil, E. Herbert, and B. Carlson, Editors. 1987, Elsivier.
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Jorgensen, H., et al., Outcome and Time Course of Recovery in Stroke, Parts I and II. The Copenhagen Stroke Study. Arch Phys Med Rehab, 1995. 76: p. 399-412.
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Kozak, J., et al., Transfer of Training from Virtual Reality. Ergonomics, 1993. 36(7): p. 777- 784.
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Krebs, H.I., et al., Robot-Aided Neurorehabilitation. IEEE Transactions on Rehabilitation Engineering, 1998. 6: p. 75-87.
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Kwakkel, K.G., et al., Effects of Intensity of Rehabilitation After Stroke, a Research Aynthesis. Stroke, 1997. 28(8): p. 1550-1556.
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Langhorne, P., R.C. Wagenaar, and C. Partridge, Physiotherapy After Stroke: More is Better? Physiotherapy Research International, 1996. 1: p. 75-88.
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Nudo, R.J., Neural Substrates for the Effects of Rehabilitative Training on Motor Recovery After Ischemic Infarction. Science, 1996. 272: p. 1791-1794.
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Popescu, V., et al., A Virtual Reality-based Telerehabilitation System with Force Feedback. IEEE Transactions on Information Technology in Biomedicine, 2000. 4(1): p. 45-51.
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Rijken, P. and J. Dekker, Clinical Experience of Rehabilitation Therapists with Chronic Diseases: a Quantitative Approach. Clinical Rehabilitation, 1998. 12(2): p. 143-150.
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Riva, G., et al. Virtual Reality Environments for Psycho-Neuro-Physiological Assessment and Rehabilitation. in Proceedings of Medicine Meets Virtual Reality. 1997. Amsterdam, Netherlands: IOS Press.
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Tangeman, P., D. Banaitis, and A. Williams, Rehabilitation of Chronic Stroke Patients: Changes in Functional Performance. Arch Phys Med Rehab, 1990. 71: p. 876-880.
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Taub, E., et al., Technique to Improve Chronic Motor Deficit After Stroke. Arch Phys Med Rehab, 1993. 74: p. 347-354.
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Todorov, E., H. Shadmehr, and E. Bizzi, Augmented Feedback Presented in a Virtual Environment Accelerates Learning of a Difficult Motor Task. Journal of Motor Behavior, 1997. 29(2): p. 147-158.
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Volpe, B.T., et al., Robot Training Enhanced Motor Outcome in Patients with Stroke Maintained Over 3 Years. Neurology, 1999. 53: p. 1874-1876.
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Volpe, B.T., et al., A Novel Approach to Stroke Rehabilitation: Robot-Aided Sensorimotor Stimulation. Neurology, 2000. 54: p. 1938-1944.
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Werner, R. and S. Kessler, Effectiveness of an Intensive Outpatient Rehabilitation Program for Postacute Stroke Patients. American Journal of Physical Medicine Rehabilitation, 1996. 75: p. 114-120.
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Wilson, P., N. Foreman, and D. Stanton, Virtual Reality, Disability and Rehabilitation. Disability and Rehabilitation, 1997. 19(6): p. 213-220.
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Wilson, P., N. Foreman, and M. Tlauka, Transfer of Spatial Information From a Virtual to a Real Environment in Physically Disabled Children. Disability and Rehabilitation, 1996. 18(12): p. 633-637.
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Wolf, S., et al., Forced use of Hemiplegic Upper Extremities to Reverse the Effect of Learned Non-use Among Chronic Stroke and Head Injured Patients. Experimental Neurology, 1989. 104: p. 125-132.
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INDEX TERMS
Primary Classification:
K.
Computing Milieux
K.4
COMPUTERS AND SOCIETY
K.4.2
Social Issues
Subjects:
Assistive technologies for persons with disabilities
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.1
Multimedia Information Systems
Subjects:
Artificial, augmented, and virtual realities
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Haptic I/O
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
I.3.7
Three-Dimensional Graphics and Realism
Subjects:
Virtual reality
J.
Computer Applications
J.3
LIFE AND MEDICAL SCIENCES
Subjects:
Health
General Terms:
Design,
Human Factors,
Management,
Measurement,
Performance,
Theory
Keywords:
CyberGlove,
Rutgers Master II,
haptic glove,
rehabilitation,
stroke,
virtual reality
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