Intelligent classification of real heart diseases based on radial wavelet neural network

Author

Guillermo, Juan E. ; Sanchez, Edgar N. ; Ricalde, Luis J. ; Cruz, Braulio J. ; Castillo, Alejandro

Author_Institution

Autom. Control Dept., CINVESTAV of IPN, Guadalajara, Mexico

fYear

2014

fDate

11-13 Dec. 2014

Firstpage

162

Lastpage

165

Abstract

In this paper, we propose a radial wavelet neural network classifier for heart murmurs (pulmonary insufficiency and tricuspid insufficiency). The extended Kalman filter is used as a learning algorithm. The network inputs are dimensional features, extracted from real cardiac cycles. The proposed model is trained and tested using real heart cycles in order to show the applicability of the proposed scheme.

Keywords

Kalman filters; cardiology; diseases; feature extraction; learning (artificial intelligence); medical signal processing; nonlinear filters; signal classification; wavelet neural nets; cardiac cycles; extended Kalman filter; feature extraction; heart cycles; heart diseases; heart murmurs; intelligent classification; learning algorithm; network inputs; pulmonary insufficiency; radial wavelet neural network; tricuspid insufficiency; Biomedical measurement; Frequency measurement; Heart; Phonocardiography; Sensitivity; heart disease; murmurs; neural networks; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference (CIBEC), 2014 Cairo International

Conference_Location

Giza

ISSN

2156-6097

Print_ISBN

978-1-4799-4413-2

Type

conf

DOI

10.1109/CIBEC.2014.7020944

Filename

7020944