Title: Blind Signal Processing models and methods for Foetal Electrocardiogram signals extraction

Authors: Keying Liu; Rui Li; Fasong Wang

Addresses: Department of Mathematics, North China University of Water Resources and Electric Power, 450011 Zhengzhou, China ' School of Sciences, Henan University of Technology, 450000 Zhengzhou, China. ' China Electronics Technology Group Corporation, The 27th Research Institute Zhengzhou, China; National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China

Abstract: Blind Signal Processing (BSP) has found great applications for foetal electrocardiogram (FECG) extraction. The purpose of this paper is to brief review the Blind Source Separation (BSS) and Blind Source Extraction (BSE) models and algorithms for FECG signal processing. After the perspective of linear BSS and BSE models for FECG extraction are presented, the relationship between BSS and BSE is given; also the advantages of BSE are shown. Then, the state-of-the-art BSE algorithms, such as BCBSE algorithm, semiBSE algorithm, GABSE algorithm, reference semiBSE algorithm and robustBSE algorithm, are constructed and overviewed. The advantages and limitations of these algorithms are analysed in the conclusion.

Keywords: BSS; blind source separation; ICA; independent component analysis; FECG; foetal electrocardiograms; foetal ECG; BSE; blind source extraction; signal processing; signal extraction.

DOI: 10.1504/IJBET.2011.043296

International Journal of Biomedical Engineering and Technology, 2011 Vol.7 No.3, pp.225 - 241

Published online: 21 Jan 2015 *

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