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Fetal electrocardiogram signal modelling using genetic algorithm

Nazarpour, K, Sanei, Saeid and Ebadi, S (2007) Fetal electrocardiogram signal modelling using genetic algorithm MeMeA 2007 2nd - IEEE International Workshop on Medical Measurement and Applications. pp. 25-28.

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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. ©2007 IEEE.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Nazarpour, K
Ebadi, S
Date : 2007
DOI : 10.1109/MEMEA.2007.4285156
Depositing User : Symplectic Elements
Date Deposited : 06 Jul 2017 08:37
Last Modified : 24 Jan 2020 11:56

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