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Determination of Features for Heart Sounds by Using Wavelet Transforms
Maribor, Slovenia June 04-June 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.101137015th IEEE Symposium on Computer-Based ...
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M. Nadir Kurnaz, Tamer Ölmez, "Determination of Features for Heart Sounds by Using Wavelet Transforms," Computer-Based Medical Systems, IEEE Symposium on, pp. 155, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002.
 
 
BibTex
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@article{ 10.1109/CBMS.2002.1011370,
author = {M. Nadir Kurnaz and Tamer Ölmez},
title = {Determination of Features for Heart Sounds by Using Wavelet Transforms},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2002},
issn = {1063-7125},
pages = {155},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.1011370},
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 - Determination of Features for Heart Sounds by Using Wavelet Transforms
SN - 1063-7125
SP
EP
A1 - M. Nadir Kurnaz,
A1 - Tamer Ölmez,
PY - 2002
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
M. Nadir Kurnaz, Instanbul Technical University
Tamer Ölmez, Instanbul Technical University
A novel method is presented to determine features of heart sounds. Wavelet transform is applied to a window of two periods of heart sounds. Two analyses are realized for the signals in the window: Segmentation of the first and second heart sounds, and extraction of the features. After the Segmentation, feature vectors are formed by using the wavelet detail coefficients at the sixth decomposition level. The best feature elements are analyzed by using dynamic programming.
Citation:
M. Nadir Kurnaz, Tamer Ölmez, "Determination of Features for Heart Sounds by Using Wavelet Transforms," cbms, pp.155, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002
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