Fetal electrocardiogram extraction by sequential source separation in the wavelet domain.

Jafari, MG and Chambers, JA (2005) Fetal electrocardiogram extraction by sequential source separation in the wavelet domain. IEEE Trans Biomed Eng, 52 (3). pp. 390-400.

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Abstract

This paper addresses the problem of fetal electrocardiogram extraction using blind source separation (BSS) in the wavelet domain. A new approach is proposed, which is particularly advantageous when the mixing environment is noisy and time-varying, and that is shown, analytically and in simulation, to improve the convergence rate of the natural gradient algorithm. The distribution of the wavelet coefficients of the source signals is then modeled by a generalized Gaussian probability density, whereby in the time-scale domain the problem of selecting appropriate nonlinearities when separating mixtures of both sub- and super-Gaussian signals is mitigated, as shown by experimental results.

Item Type:	Article
Authors :	Name Email ORCID Jafari, MG Chambers, JA j.a.chambers@surrey.ac.uk
Date :	March 2005
DOI :	10.1109/TBME.2004.842958
Uncontrolled Keywords :	Algorithms, Body Surface Potential Mapping, Diagnosis, Computer-Assisted, Electrocardiography, Female, Fetal Monitoring, Humans, Models, Cardiovascular, Models, Neurological, Models, Statistical, Pregnancy, Signal Processing, Computer-Assisted, Stochastic Processes
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:27
Last Modified :	17 May 2017 13:27
URI:	http://epubs.surrey.ac.uk/id/eprint/839247

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