Title :
Fetal Electrocardiogram Signal Modelling Using Genetic Algorithm
Author :
Nazarpour, Kianoush ; Ebadi, Siamak ; Sanei, Saeid
Author_Institution :
Cardiff Univ., Cardiff
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;
Conference_Titel :
Medical Measurement and Applications, 2007. MEMEA '07. IEEE International Workshop on
Conference_Location :
Warsaw
Print_ISBN :
1-4244-1080-0
DOI :
10.1109/MEMEA.2007.4285156
