Evolutionary training of a neurofuzzy network for detection of P wave of the ECG

Author

Pilla, Valfredo, Jr. ; Lopes, Heitor Silvério

Author_Institution

Dept. of Electron., Fed. Center of Technol. Educ. of Parana, Curitiba, Brazil

fYear

1999

fDate

1999

Firstpage

102

Lastpage

106

Abstract

The article presents a neurofuzzy network that is applied to the detection of a specific wave of the electrocardiographic signal. The network was trained using genetic algorithms, using a software package publicly available on the Internet. The training procedure, its parameters and details of the application are presented. Results suggest that this kind of network is suitable for the identification of patterns in unidimensional time-varying signals

Keywords

Internet; electrocardiography; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); medical signal detection; ECG; Internet; P wave detection; electrocardiographic signal; evolutionary training; genetic algorithms; neurofuzzy network; software package; training procedure; unidimensional time-varying signals; Bioelectric phenomena; Electric potential; Electric variables measurement; Electrocardiography; Equations; Genetic algorithms; Humans; Iron; Laboratories; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on

Conference_Location

New Delhi

Print_ISBN

0-7695-0300-4

Type

conf

DOI

10.1109/ICCIMA.1999.798510

Filename

798510