Title: Performance comparison of MeRMaId-ICA and Np-ICA in composite abdominal electrocardiogram separation

Authors: M. Anisha; S.S. Kumar; M. Benisha

Addresses: Department of Biomedical Engineering, Kalasaligam Academy of Research and Education, Deemed to be University, Krishnankoil 626126, Tamil Nadu, India ' Department of Electronics and Instrumentation Engineering, Noorul Islam Centre for Higher Education, Kumaracoil 629180, Tamil Nadu, India ' Department of Electronics and Communication Engineering, Jeppiaar Institute of Technology, Chennai, India

Abstract: Blind source separation strives to disintegrate a multivariate composite non-invasive abdominal electrocardiogram signal into independent non-Gaussian signals such as maternal and foetal electrocardiograms. This paper proffers two separation algorithms especially for foetal electrocardiogram (FECG) extraction as it has a great role in diagnosing the foetal heart deformities namely minimum Renyi's mutual information called MeRMaId algorithm and non-parametric independent component analysis (Np-ICA) algorithm. Both the algorithms are experimentally evaluated on synthetic and real abdominal data. Performance juxtaposition of these two algorithms is done by scrutinising the signal to noise ratio at assorted noise levels and signal to interference ratio at assorted amplitude levels, and computing correlation coefficient (ρ) of the original and the estimated maternal and foetal electrocardiograms.

Keywords: minimum Renyi's mutual information; non-parametric independent component analysis; maternal electrocardiogram; foetal electrocardiogram; FECG.

DOI: 10.1504/IJBET.2019.100692

International Journal of Biomedical Engineering and Technology, 2019 Vol.30 No.3, pp.195 - 211

Received: 26 Oct 2016
Accepted: 13 Dec 2016

Published online: 28 Jun 2019 *

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