Comparison of time-frequency analysis performance on hearts and murmurs

S. Daliman, A. Sha'ameri
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引用次数: 4

Abstract

Time-frequency analysis is one of the methods to deal with non-stationary and time-varying signal such as heart sounds and murmurs. Wigner-Ville distribution (WVD) is a popular tool to obtain time-frequency representation of signal. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are the improvement method to overcome the problem faced by WVD. Determination of parameter setting of WWVD and SWWVD eliminates the cross-terms and improve time-frequency representation. The accuracy of time-frequency representation of simulated heart sounds and murmurs are compared and determined based on the mainlobe width, peak-to-sidelobe average ratio and signal-to-interference ratio. It is found that the most accurate time-frequency representation can be obtained using the SWWVD.
心脏和杂音时频分析性能的比较
时频分析是处理心音、杂音等非平稳时变信号的方法之一。Wigner-Ville分布(WVD)是一种获得信号时频表示的常用工具。窗口Wigner-Ville分布(WWVD)和光滑窗口Wigner-Ville分布(SWWVD)是克服WVD所面临问题的改进方法。通过确定WWVD和SWWVD的参数设置,消除了交叉项,改善了时频表示。根据主瓣宽度、峰旁瓣平均比和信干扰比,比较了模拟心音和杂音时频表示的准确性。结果表明,使用SWWVD可以获得最精确的时频表示。
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