PMID: 9444847Jan 28, 1998Paper

Time-frequency and time-scale techniques for the classification of native and bioprosthetic heart valve sounds

IEEE Transactions on Bio-medical Engineering
P M BentleyJ T McDonnell

Abstract

The determination of diagnostic features in recorded heart sounds was investigated with Carpentier-Edwards (CE) bioprosthetic valves. Morphological features, extracted using the Choi-Williams distribution, achieved between 96 and 61% correct classification. The time-scale wavelet-transform feature set achieved 100% correct classification with native valve populations, and 87% with the CE replacements.

Citations

Dec 14, 2004·Medical & Biological Engineering & Computing·D R EinsteinM A Nicosia
Feb 23, 2010·Australasian Physical & Engineering Sciences in Medicine·C VisagieA F Doubell
Nov 20, 2009·Medical & Biological Engineering & Computing·Bassam Al-NaamiJohn Torry
Jun 12, 2003·Computer Methods and Programs in Biomedicine·Péter VáradyAchim Hein
Jan 24, 2012·Computer Methods in Biomechanics and Biomedical Engineering·Sabri AltunkayaSaadetdin Herdem
May 8, 2007·Biomedical Engineering Online·Vladimir KudriavtsevDouglas L Roy
Mar 17, 2007·Journal of Medical Engineering & Technology·M GrigioniV Barbaro
Jul 10, 2012·Computers in Biology and Medicine·Di ZhangMinghui Du
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Nov 27, 2007·Computers in Biology and Medicine·S M Debbal, F Bereksi-Reguig
Nov 4, 2005·Medical Physics·S M Debbal, F Bereksi-Reguig
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Nov 22, 2016·Physiological Measurement·Chengyu LiuGari D Clifford
Aug 17, 2018·BioMed Research International·Hong TangChengyu Liu

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