Detection of abnormal cardiac activity using genetic descriptors

Author

Silva, J. ; Suárez, K. ; Gomis, P.

Author_Institution

Simon Bolivar Univ., Caracas, Venezuela

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

543

Lastpage

545

Abstract

The methodology is based on the generation of cardiac polynomial descriptors using genetic algorithms (GAs). A mathematics template of cardiac signal, named descriptor, is using to evaluate differences between individual beats from high-resolution electrocardiography (HRECG) registers and average beats. Irregular activity from the myocardium, as ectopic beats, is detected using this method, which offers a quantitative technique to identify abnormalities in propagation of the cardiac impulse signal

Keywords

electrocardiography; genetic algorithms; medical signal processing; abnormal cardiac activity; average beats; cardiac impulse signal; cardiac polynomial descriptors; cardiac signal; ectopic beats; generation; genetic algorithms; genetic descriptors; high-resolution electrocardiography registers; individual beats; irregular activity; mathematics template; myocardium; quantitative technique; Cardiac disease; Cardiovascular diseases; Electrocardiography; Genetic algorithms; Heart rate variability; Mathematics; Myocardium; Polynomials; Signal generators; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 1999

Conference_Location

Hannover

ISSN

0276-6547

Print_ISBN

0-7803-5614-4

Type

conf

DOI

10.1109/CIC.1999.826028

Filename

826028