Fetal Electrocardiogram Signal Modelling Using Genetic Algorithm

Author

Nazarpour, Kianoush ; Ebadi, Siamak ; Sanei, Saeid

Author_Institution

Cardiff Univ., Cardiff

fYear

2007

fDate

4-5 May 2007

Firstpage

1

Lastpage

4

Abstract

The fetal electrocardiogram signal (FECG) is a major tool in monitoring and diagnosis of the fetus high risk conditions and arrhythmias. This paper introduces an accurate mathematical model for fetal electrocardiogram based on a real template FECG signal. This is done after elimination of maternal electrocardiogram (MECG) signal interference measured during pregnancy. The parameters of the introduced model are optimized in terms of sum square error using a genetic algorithm (GA). Our precise fetal electrocardiogram model can be a benchmark for other prospective researches particularly in FECG extraction

Keywords

biomedical measurement; electrocardiography; genetic algorithms; gynaecology; patient diagnosis; patient monitoring; arrhythmias; fetal electrocardiogram model; fetal electrocardiogram signal extraction; fetal electrocardiogram signal modelling; fetus diagnosis; fetus high risk conditions; fetus monitoring; genetic algorithm; maternal electrocardiogram; pregnancy; signal interference measurement; sum square error; Electrocardiography; Fetus; Genetic algorithms; Genetic engineering; Mathematical model; Noise cancellation; Pregnancy; Signal processing; Signal processing algorithms; Source separation; Adaptive noise cancellation; fetal/maternal electrocardiogram; genetic algorithm; modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Measurement and Applications, 2007. MEMEA '07. IEEE International Workshop on

Conference_Location

Warsaw

Print_ISBN

1-4244-1080-0

Type

conf

DOI

10.1109/MEMEA.2007.4285156

Filename

4285156