Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution

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 timefiequency representation (TFR) of the signal. Determination of par...

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Bibliographic Details
Main Authors: Daliman, Shaparas, Sha'ameri, Ahmad Zuri
Format: Article
Language:English
Published: 2003
Subjects:
Online Access:http://eprints.utm.my/id/eprint/2002/1/article177.pdf
http://eprints.utm.my/id/eprint/2002/
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Summary: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 timefiequency 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 maiulohe width and signal-to-interference ratio. It is found that the most accurate TFR can be achieved using SWWVD.