Literature DB >> 9691572

Time-frequency scaling transformation of the phonocardiogram based of the matching pursuit method.

X Zhang1, L G Durand, L Senhadji, H C Lee, J L Coatrieux.   

Abstract

A time-frequency scaling transformation based on the matching pursuit (MP) method is developed for the phonocardiogram (PCG). The MP method decomposes a signal into a series of time-frequency atoms by using an iterative process. The modification of the time scale of the PCG can be performed without perceptible change in its spectral characteristics. It is also possible to modify the frequency scale without changing the temporal properties. The technique has been tested on 11 PCG's containing heart sounds and different murmurs. A scaling/inverse-scaling procedure was used for quantitative evaluation of the scaling performance. Both the spectrogram and a MP-based Wigner distribution were used for visual comparison in the time-frequency domain. The results showed that the technique is suitable and effective for the time-frequency scale transformation of both the transient property of the heart sounds and the more complex random property of the murmurs. It is also shown that the effectiveness of the method is strongly related to the optimization of the parameters used for the decomposition of the signals.

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Mesh:

Year:  1998        PMID: 9691572      PMCID: PMC3515452          DOI: 10.1109/10.704866

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Current concepts of the genesis of heart sounds. II. Third and fourth sounds.

Authors:  J Abrams
Journal:  JAMA       Date:  1978-05-12       Impact factor: 56.272

Review 2.  Digital signal processing of the phonocardiogram: review of the most recent advancements.

Authors:  L G Durand; P Pibarot
Journal:  Crit Rev Biomed Eng       Date:  1995

3.  Analysis-synthesis of the phonocardiogram based on the matching pursuit method.

Authors:  X Zhang; L G Durand; L Senhadji; H C Lee; J L Coatrieux
Journal:  IEEE Trans Biomed Eng       Date:  1998-08       Impact factor: 4.538

  3 in total
  5 in total

1.  An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases.

Authors:  Amir A Sepehri; Armen Kocharian; Azin Janani; Arash Gharehbaghi
Journal:  J Med Syst       Date:  2015-10-30       Impact factor: 4.460

2.  Detecting Aortic Valve-Induced Abnormal Flow with Seismocardiography and Cardiac MRI.

Authors:  Ethan M I Johnson; J Alex Heller; Florencia Garcia Vicente; Roberto Sarnari; Daniel Gordon; Patrick M McCarthy; Alex J Barker; Mozziyar Etemadi; Michael Markl
Journal:  Ann Biomed Eng       Date:  2020-03-16       Impact factor: 3.934

3.  Analysis of the first heart sound using the matching pursuit method.

Authors:  W Wang; Z Guo; J Yang; Y Zhang; L G Durand; M Loew
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

4.  Signal processing of heart signals for the quantification of non-deterministic events.

Authors:  Véronique Millette; Natalie Baddour
Journal:  Biomed Eng Online       Date:  2011-01-26       Impact factor: 2.819

5.  Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner-Ville distribution.

Authors:  Abdelghani Djebbari; Fethi Bereksi-Reguig
Journal:  Biomed Eng Online       Date:  2013-04-30       Impact factor: 2.819

  5 in total

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