Comparison of envelope extraction algorithms for cardiac sound signal segmentation

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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.

论文关键词:Cardiac sound characteristic waveform (CSCW),Envelope extraction algorithm,Hilbert transform,Normalized average Shannon energy,Segmentation

论文评审过程:Available online 22 December 2006.

论文官网地址:https://doi.org/10.1016/j.eswa.2006.12.015