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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Format: | Article |
Language: | English |
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2003
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Online Access: | http://eprints.utm.my/2002/1/article177.pdf |
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author | Daliman, Shaparas Sha'ameri, Ahmad Zuri |
author_facet | Daliman, Shaparas Sha'ameri, Ahmad Zuri |
author_sort | Daliman, Shaparas |
collection | ePrints |
description | 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. |
first_indexed | 2024-03-05T17:58:06Z |
format | Article |
id | utm.eprints-2002 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T17:58:06Z |
publishDate | 2003 |
record_format | dspace |
spelling | utm.eprints-20022017-09-10T05:30:12Z http://eprints.utm.my/2002/ Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution Daliman, Shaparas Sha'ameri, Ahmad Zuri TK Electrical engineering. Electronics Nuclear engineering 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. 2003 Article PeerReviewed application/pdf en http://eprints.utm.my/2002/1/article177.pdf Daliman, Shaparas and Sha'ameri, Ahmad Zuri (2003) Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution. Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on . pp. 625-626. |
spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Daliman, Shaparas Sha'ameri, Ahmad Zuri Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution |
title | Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_full | Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_fullStr | Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_full_unstemmed | Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_short | Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution
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title_sort | time frequency analysis of heart sounds using windowed and smooth windowed wigner ville distribution |
topic | TK Electrical engineering. Electronics Nuclear engineering |
url | http://eprints.utm.my/2002/1/article177.pdf |
work_keys_str_mv | AT dalimanshaparas timefrequencyanalysisofheartsoundsusingwindowedandsmoothwindowedwignervilledistribution AT shaameriahmadzuri timefrequencyanalysisofheartsoundsusingwindowedandsmoothwindowedwignervilledistribution |