Time-frequency analysis of heart sounds using windowed and smooth Windowed Wigner-Ville distribution

被引：0

作者：

Daliman, A ^{[1
]}

Sha' ameri, AZ ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Digital Signal Proc Lab, Johor Darul Takzim, Malaysia

来源：

SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 2, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the time-frequency representation (TFR) of the signal. Determination of parameter setting of WWVD and SWWVD will eliminate the cross-terms and improve TFR. The accuracy of TFR will be determined based on the mainlobe width and signal-to-interference ratio. It is found that the most accurate TFR can be achieved using SWWVD.

引用

页码：625 / 626

页数：2

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