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2008 International Conference on BioMedical Engineering and Informatics
Myocardial Ischemia Detection by Pulse Signal Features and Fuzzy Clustering
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Kang-Ming Chang, Zhi-Zhong Lin, Shing-Hong Liu, Chu-Chang Tyan, "Myocardial Ischemia Detection by Pulse Signal Features and Fuzzy Clustering," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 473-477, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.310,
author = {Kang-Ming Chang and Zhi-Zhong Lin and Shing-Hong Liu and Chu-Chang Tyan},
title = {Myocardial Ischemia Detection by Pulse Signal Features and Fuzzy Clustering},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {473-477},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.310},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Myocardial Ischemia Detection by Pulse Signal Features and Fuzzy Clustering
SN - 978-0-7695-3118-2
SP473
EP477
A1 - Kang-Ming Chang,
A1 - Zhi-Zhong Lin,
A1 - Shing-Hong Liu,
A1 - Chu-Chang Tyan,
PY - 2008
KW - Myocardial ischemia
KW - pulse
KW - PWA
KW - fuzzy c-means
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
The aim of this study is to propose a new diagnosing algorithm, for myocardial ischemia, based on the newly developed non-invasive measurement, three-axis sphygmography, and further processed by modified fuzzy c-means algorithms. The three-axis sphygmography measures pressure pulse waveform (PPW), and the PPW are analyzed by its harmonic components in the frequency domain. The first three harmonics of the Fourier series of PPW are significantly different between myocardial ischemia patients and normal subjects. The harmonic of the Fourier series of PPW are feed into a modified fuzzy c-means algorithm, and developed PPW criteria to identify myocardial ischemia with sensitivity 69% and specificity 100%
Index Terms:
Myocardial ischemia, pulse, PWA, fuzzy c-means
Citation:
Kang-Ming Chang, Zhi-Zhong Lin, Shing-Hong Liu, Chu-Chang Tyan, "Myocardial Ischemia Detection by Pulse Signal Features and Fuzzy Clustering," bmei, vol. 2, pp.473-477, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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