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2009 IEEE International Conference on Bioinformatics and Biomedicine
Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis
Washington, D.C., USA
November 01-November 04
ISBN: 978-0-7695-3885-3
ASCII Text
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Yan Haixia, Wang Yiqin, Liu Zhaorong, Guo Rui, Li Fufeng, Run Fengying, Hong Yujian, "Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis," 2012 IEEE International Conference on Bioinformatics and Biomedicine, pp. 234-238, 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009.
 
 
BibTex
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@article{ 10.1109/BIBM.2009.31,
author = {Yan Haixia and Wang Yiqin and Liu Zhaorong and Guo Rui and Li Fufeng and Run Fengying and Hong Yujian},
title = {Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis},
journal ={2012 IEEE International Conference on Bioinformatics and Biomedicine},
volume = {0},
year = {2009},
isbn = {978-0-7695-3885-3},
pages = {234-238},
doi = {http://doi.ieeecomputersociety.org/10.1109/BIBM.2009.31},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - 2012 IEEE International Conference on Bioinformatics and Biomedicine
TI - Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis
SN - 978-0-7695-3885-3
SP234
EP238
A1 - Yan Haixia,
A1 - Wang Yiqin,
A1 - Liu Zhaorong,
A1 - Guo Rui,
A1 - Li Fufeng,
A1 - Run Fengying,
A1 - Hong Yujian,
PY - 2009
KW - Traditional Chinese Medicine; pulse diagnosis; feature extraction; hemodynamics; pulse waveform
VL - 0
JA - 2012 IEEE International Conference on Bioinformatics and Biomedicine
ER -
 
Pulse diagnosis is one of important diagnosis methods in Traditional Chinese Medicine(TCM). Feature extraction of TCM pulse has received more and more attention in recent years. While most of previous methods for feature extraction of TCM pulse have no specific correlation with the mechanism of TCM pulse, a hemodynamics method was used to calculate the pulse waveform velocity(PWV) and pulse reflection factor(R) , which reflected the principle of TCM pulse diagnosis. The results showed that the PWV and R are significantly different among four TCM pulses including normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse. It is concluded that the PWV and R may be used as the features for the classification of TCM pulses.
Index Terms:
Traditional Chinese Medicine; pulse diagnosis; feature extraction; hemodynamics; pulse waveform
Citation:
Yan Haixia, Wang Yiqin, Liu Zhaorong, Guo Rui, Li Fufeng, Run Fengying, Hong Yujian, "Feature Extraction for Pulse Waveform in Traditional Chinese Medicine by Hemodynamic Analysis," bibm, pp.234-238, 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
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