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A real-time, multimodal biofeedback system for stroke patient rehabilitation
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Source International Multimedia Conference archive
Proceedings of the 14th annual ACM international conference on Multimedia table of contents
Santa Barbara, CA, USA
DEMONSTRATION SESSION: Demo session 1 table of contents
Pages: 501 - 502  
Year of Publication: 2006
ISBN:1-59593-447-2
Authors
Yinpeng Chen  Arizona State University
Weiwei Xu  Arizona State University
Richard Isaac Wallis  Arizona State University
Hari Sundaram  Arizona State University
Thanassis Rikakis  Arizona State University
Todd Ingalls  Arizona State University
Loren Olson  Arizona State University
Jiping He  Arizona State University
Sponsors
ACM: Association for Computing Machinery
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 32,   Citation Count: 2
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ABSTRACT

This paper presents a novel real-time, multi-modal biofeedback system for stoke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are two contributions of this paper - (a) identification of features and goals for the functional task, (b) the development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task.


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.

 
1
Motion Analysis Corporation. http://www.motionanalysis.com
 
2
M. C. CIRSTEA, A. B. MITNITSKI, A. G. FELDMAN, et al. (2003). Interjoint coordination dynamics during reaching in stroke. Exp Brain Res 151(3): 289--300.
 
3
G. E. GRESHAM, P. W. DUNCAN and W. B. E. A. STASON (1996). Post-Stroke Rehabilitation/Clinical Practive Guideline. Gaithersburg, Maryland, Aspen Publishers, Inc.
 
4
D. J. GROUT and C. V. PALISCA (2001). A history of western music. New York, Norton: xvi, 843 , 816 of plates.
 
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E. R. HILGARD and G. H. BOWER (1975). Recent developments. Theories of learning. Englewood Cliffs, N.J., Prentice-Hall: 550--605.
 
6
M. HOLDEN and T. DYAR, Eds. (2002). Virtual environment traing: a new tool for neurorehabilitation. Neurology Report.


Collaborative Colleagues:
Yinpeng Chen: colleagues
Weiwei Xu: colleagues
Richard Isaac Wallis: colleagues
Hari Sundaram: colleagues
Thanassis Rikakis: colleagues
Todd Ingalls: colleagues
Loren Olson: colleagues
Jiping He: colleagues