title: Time-frequency and time-scale techniques for the classification of native and bioprosthetic heart valve sounds.
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.
authors.affiliation: Nokia R&D, Camberley, U.K.
authors.forename: P M
authors.initials: PM
authors.lastname: Bentley
authors.forename: P M
authors.initials: PM
authors.lastname: Grant
authors.forename: J T
authors.initials: JT
authors.lastname: McDonnell
mesh_terms: D001021:Aortic Valve / Q000502:physiology; D001705:Bioprosthesis; D005583:Fourier Analysis; D006339:Heart Rate; D006347:Heart Sounds; D006350:Heart Valve Prosthesis; D006351:Heart Valves; D006801:Humans; D008943:Mitral Valve / Q000502:physiology; D011475:Prosthesis Failure; D012016:Reference Values; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors