Fetal Electrocardiogram Signal Modelling Using Genetic Algorithm

Kianoush Nazarpour, Siamak Ebadi, Saeid Sanei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication2007 IEEE International Workshop on Medical Measurement and Applications
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Print)1-4244-1079-7
DOIs
Publication statusPublished - 8 Aug 2007
Event2007 IEEE International Workshop on Medical Measurement and Applications - Warsaw, Poland
Duration: 4 May 20075 May 2007

Workshop

Workshop2007 IEEE International Workshop on Medical Measurement and Applications
Abbreviated titleMeMeA 2007
Country/TerritoryPoland
CityWarsaw
Period4/05/075/05/07

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