Comparison of envelope extraction algorithms for cardiac sound signal segmentation

被引:148
作者
Choi, Samjin [1 ]
Jiang, Zhongwei [1 ]
机构
[1] Yamaguchi Univ, Dept Mech Engn, Micro Mechatron Lab, Yamaguchi 7558611, Japan
关键词
cardiac sound characteristic waveform (CSCW); envelope extraction algorithm; Hilbert transform; normalized average Shannon energy; segmentation;
D O I
10.1016/j.eswa.2006.12.015
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a comparative study of the envelope extraction algorithms for the cardiac sound signal segmentation. In order to extract the envelope curves based on the time elapses of the first and the second heart sounds of cardiac sound signals, three representative algorithms such as the normalized average Shannon energy, the envelope information of Hilbert transform, and the cardiac sound characteristic waveform (CSCW) are introduced. Performance comparison of the envelope extraction algorithms, and the advantages and disadvantages of the methods are examined by some parameters. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1056 / 1069
页数:14
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