Classification of mitral insufficiency and stenosis using MLP neural network and neuro-fuzzy system.

Abstract:

:Cardiac Doppler signals recorded from mitral valve of 60 patients were transferred to a personal computer by using a 16-bit sound card. The power spectral density (PSD) was applied to the recorded signal from each patient. In order to do a good interpretation and rapid diagnosis, PSD values classified using multilayer perceptron (MLP) and neuro-fuzzy system. Our findings demonstrated that 93.33% classification success rate was obtained from MLP, 90% classification success rate was obtained from neuro-fuzzy system. The classification results show that MLP offers best results in the case of diagnosis.

journal_name

J Med Syst

authors

Barýpçý N,Ergün U,Ilkay E,Serhatlýoğlu S,Hardalaç F,Güler I

doi

10.1023/b:joms.0000041169.28544.fd

subject

Has Abstract

pub_date

2004-10-01 00:00:00

pages

423-36

issue

5

eissn

0148-5598

issn

1573-689X

journal_volume

28

pub_type

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