Letters: Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction

Authors:
Zhi-Lin Zhang;Zhang Yi
Affiliations:
Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China;Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China
Venue:
Neurocomputing
Year:
2006

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Abstract

This letter addresses the problem of fetal electrocardiogram (FECG) extraction. A class of source extraction algorithms is proposed and it uses a combination of two different approaches: Barros's source extraction approach and Hyvarinen's fixed-point approach. The proposed algorithms can rapidly extract the desired FECG with little noise, and can work well in some poor situations. The validity and performance of the algorithms are confirmed by extensive computer simulations and experiments on real-world data.