A New Algorithm for Extracting Fetal Electrocardiogram

Author

Yang, Shouliang ; Wang, Zhonghua

Author_Institution

Coll. of Electron & Electr. Eng., Chongqing Univ. of Arts & Sci., Chongqing, China

Volume

6

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

97

Lastpage

99

Abstract

The extraction of fetal electrocardiogram (FECG) from the composite maternal ECG signal is discussed. This problem can be deduced to blind source extraction. Barros and Cichocki presented an objective function by using blind signal extraction along with prior information about the autocorrelation property of the FECG from the noisy free measurements. However, it is realistic to extract the FECG from noisy measurements. We extend the work for the noisy case and propose a new algorithm for the FECG extraction with additive noise. Simulation results confirm the validity of the proposed method.

Keywords

blind source separation; electrocardiography; independent component analysis; medical signal processing; obstetrics; patient diagnosis; additive noise; autocorrelation property; blind signal extraction; blind source extraction; composite maternal ECG signal; fetal electrocardiogram extraction; independent component analysis; noisy measurement; Additive noise; Art; Autocorrelation; Blind source separation; Data mining; Electrocardiography; Electrodes; Signal design; Source separation; Statistics; blind signal extraction; fetal extraction; independent component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.563

Filename

5364311