Moukadem, Ali and Brandt, Christian and Andrès, Emmanuel and Talha, Samy and Dieterlen, Alain (2014) Signal Processing Tools for Heart Sounds Analysis Based on Time-Frequency Domain. Cardiology and Angiology: An International Journal, 3 (2). pp. 103-113. ISSN 2347520X
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Abstract
This paper present several signal processing tools for the analysis of heart sounds. Cardiac auscultation is noninvasive, low-cost and accurate to diagnose some heart diseases. A new module for the segmentation of heart sounds based on S-Transform is presented. The heart sound segmentation process divides the Phono Cardio Gram (PCG) signal into four parts: S1 (first heart sound), systole, S2 (second heart sound) and diastole. The segmentation can be considered one of the most important phases in the auto-analysis of PCG signals. A segmentation method based on the Shannon energy of the local spectrum calculated by the S-transform is proposed. Then, the energy concentration of the S-transform is optimized to accurately detect the boundaries of the localized sounds. New features based on the energy concentration of the S-transform are proposed to classify S1 and S2 and other features based on the complexity measure via Time-Frequency (TF) domain are proposed to detect systolic murmurs.
Item Type: | Article |
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Subjects: | Library Keep > Medical Science |
Depositing User: | Unnamed user with email support@librarykeep.com |
Date Deposited: | 04 Jul 2023 04:47 |
Last Modified: | 17 Jan 2024 04:34 |
URI: | http://archive.jibiology.com/id/eprint/1047 |