Literature DB >> 6851053

Detection of aortic porcine valve dysfunction by maximum entropy spectral analysis.

R A Foale, T H Joo, J H McClellan, R W Metzinger, G L Grant, G S Myers, R S Lees.   

Abstract

A high-resolution method of spectral analysis, of the class generally called "maximum entropy method," was used in a study of aortic porcine valve closing sounds in 37 patients (ages 19 to 76). Spectra from 27 normal xenografts, implanted from 2 weeks to 61 months previously, were characterized by a dominant frequency peak, F1, at 89 +/- 15 Hz (mean +/- SD), with a lower amplitude peak, F2, at 154 +/- 25 Hz. Eight of nine patients with aortic porcine valve dysfunction were proved surgically to have leaflet degeneration or infection and had either F1 (139 +/- 54 Hz) and/or F2 (195 +/- 74 Hz) significantly higher than normal (p less than .001). In two patients with paravalvar leak but no leaflet abnormality, F1 and F2 were in the normal range. Estimation of F1 and F2 was highly reproducible and was unaffected by duration of implant up to 5 years. Spectral analysis of aortic porcine valve closing sounds by the maximum entropy method may be useful for detection of intrinsic xenograft dysfunction.

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Year:  1983        PMID: 6851053     DOI: 10.1161/01.cir.68.1.42

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  9 in total

1.  Evaluation of Karhunen-Loève expansion for feature selection in computer-assisted classification of bioprosthetic heart-valve status.

Authors:  M Yazdanpanah; L Allard; L G Durand; R Guardo
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Spectral analysis and acoustic transmission of mitral and aortic valve closure sounds in dogs. Part 3. Effects of altering heart rate and P-R interval.

Authors:  L G Durand; Y E Langlois; T Lanthier; R Chiarella; P Coppens; S Carioto; S Bertrand-Bradley
Journal:  Med Biol Eng Comput       Date:  1990-09       Impact factor: 2.602

3.  Automatic detection of sounds and murmurs in patients with Ionescu-Shiley aortic bioprostheses.

Authors:  H L Baranek; H C Lee; G Cloutier; L G Durand
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

4.  Time-frequency analysis of the first heart sound. Part 2: An appropriate time-frequency representation technique.

Authors:  D Chen; L G Durand; Z Guo; H C Lee
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

5.  Spectral analysis of closing sounds produced by Ionescu-Shiley bioprosthetic aortic heart valves. Part 3. Performance of FFT-based and parametric methods for extracting diagnostic spectral parameters.

Authors:  G Cloutier; R Guardo; L G Durand
Journal:  Med Biol Eng Comput       Date:  1987-09       Impact factor: 2.602

6.  Spectral analysis of closing sounds produced by Ionescu-Shiley bioprosthetic aortic heart valves. Part 1. Optimal number of poles and zeros for parametric spectral analysis.

Authors:  G Cloutier; R Guardo; L G Durand
Journal:  Med Biol Eng Comput       Date:  1987-09       Impact factor: 2.602

7.  Frequency analysis of Ionescu-Shiley prosthetic closing sounds in patients with normally functioning prostheses.

Authors:  M Brais; L G Durand; M Blanchard; J de Guise; R Guardo; W J Keon
Journal:  Med Biol Eng Comput       Date:  1986-11       Impact factor: 2.602

8.  Comparison of spectral techniques for computer-assisted classification of spectra of heart sounds in patients with porcine bioprosthetic valves.

Authors:  L G Durand; Z Guo; H N Sabbah; P D Stein
Journal:  Med Biol Eng Comput       Date:  1993-05       Impact factor: 2.602

9.  Spectral analysis and acoustic transmission of mitral and aortic valve closure sounds in dogs. Part 1. Modelling the heart/thorax acoustic system.

Authors:  L G Durand; Y E Langlois; T Lanthier; R Chiarella; P Coppens; S Carioto; S Bertrand-Bradley
Journal:  Med Biol Eng Comput       Date:  1990-07       Impact factor: 2.602

  9 in total

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