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14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)
Time Series Analysis of Bio-Medical Signals
Bethesda, Maryland
March 26-March 27
ISBN: 0-7695-1004-3
ASCII Text
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Yuriko Tsuruoka, Yoshiyasu Tamura, Syunsuke Minakuchi, Masako Tsuruoka, "Time Series Analysis of Bio-Medical Signals," Computer-Based Medical Systems, IEEE Symposium on, pp. 0097, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.
 
 
BibTex
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@article{ 10.1109/CBMS.2001.941704,
author = {Yuriko Tsuruoka and Yoshiyasu Tamura and Syunsuke Minakuchi and Masako Tsuruoka},
title = {Time Series Analysis of Bio-Medical Signals},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2001},
isbn = {0-7695-1004-3},
pages = {0097},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941704},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Time Series Analysis of Bio-Medical Signals
SN - 0-7695-1004-3
SP
EP
A1 - Yuriko Tsuruoka,
A1 - Yoshiyasu Tamura,
A1 - Syunsuke Minakuchi,
A1 - Masako Tsuruoka,
PY - 2001
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Yuriko Tsuruoka, The Institute of Statistical Mathematics
Yoshiyasu Tamura, The Institute of Statistical Mathematics
Syunsuke Minakuchi, Tokyo Med. & Dent. University
Masako Tsuruoka, University of Tokyo
Abstract: This study presents Time Series Analysis of Bio-Medical Signals utilizing the method of Relative Power Contribution (RPC). At first, the spatial relationship of the movement of the lips, chin and throat in the swallowing function is presented while wearing dentures and without dentures. In the case of patients wearing dentures it was observed that the relationship between the lips, chin and throat improved more significantly and than without dentures. Next, the relationship of the movement of the knee and pelvis while walking with an injured foot is presented. In the case of patients walking with an injured foot it was observed that the pelvis on the good side of the leg supported the knee. The RPC expresses the degree of contribution of the other variables to a variable. Using this analysis of RPC, it can help make a more effective plan of kinesitherapy in rehabilitation for the improvement of each patient.
Citation:
Yuriko Tsuruoka, Yoshiyasu Tamura, Syunsuke Minakuchi, Masako Tsuruoka, "Time Series Analysis of Bio-Medical Signals," cbms, pp.0097, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001
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