Classification of Carpentier-Edwards bioprosthesis heart valves using an adaptive single layer perceptron

Author

Sava, H.P. ; Bedi, R. ; McDonnel, J. T E ; Grant, P.M.

Author_Institution

Dept. of Electr. Eng., Edinburgh Univ., UK

Volume

1

fYear

1995

fDate

20-25 Sep 1995

Firstpage

129

Abstract

Presents the application of a single layer perceptron (SLP) for classification of normal (NF) and malfunctioning (MF) Carpentier-Edwards (C-E) bioprosthetic heart valves. Twenty six patients with a C-E valve implanted in the aortic position mere investigated in this study. Three features extracted from the analysis of the second heart sound (S2) by modified forward-backward Prony method (MFBPM) are used as the input vector of an adaptive SLP. Results show that this method gives 100% correct classification between NF and MF cases. However, further investigation is needed to validate the performance of the method in a greater number of patients

Keywords

acoustic signal processing; adaptive signal processing; bioacoustics; cardiology; feature extraction; medical signal processing; perceptrons; prosthetics; Carpentier-Edwards bioprosthesis heart valves classification; aortic position; cardiac patients; extracted features; input vector; malfunctioning valves; modified forward-backward Prony method; normal valves; second heart sound analysis; Data mining; Displays; Feature extraction; Frequency estimation; Heart valves; Matrix decomposition; Noise measurement; Pins; Signal synthesis; Thyristors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.575034

Filename

575034