Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575034
