A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity

Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective funct...

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Detalles Bibliográficos
Autores principales: Li, Yibing, Nie, Wei, Ye, Fang, Li, Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808794/
https://www.ncbi.nlm.nih.gov/pubmed/27066109
http://dx.doi.org/10.1155/2016/9658410
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author Li, Yibing
Nie, Wei
Ye, Fang
Li, Ao
author_facet Li, Yibing
Nie, Wei
Ye, Fang
Li, Ao
author_sort Li, Yibing
collection PubMed
description Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective function, we can extract the desired FECG. Combining with the solution vector obtained by maximizing the objective function, we further improve the accuracy of the extracted FECG. In addition, the feasibility of the innovative methods is analyzed by mathematical derivation theoretically and the efficiency of the proposed approaches is illustrated with the computer simulations experimentally.
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spelling pubmed-48087942016-04-10 A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity Li, Yibing Nie, Wei Ye, Fang Li, Ao Comput Math Methods Med Research Article Fetal electrocardiogram (FECG) extraction is an important issue in biomedical signal processing. In this paper, we develop an objective function for extraction of FECG. The objective function is based on the non-Gaussianity and the temporal structure of source signals. Maximizing the objective function, we can extract the desired FECG. Combining with the solution vector obtained by maximizing the objective function, we further improve the accuracy of the extracted FECG. In addition, the feasibility of the innovative methods is analyzed by mathematical derivation theoretically and the efficiency of the proposed approaches is illustrated with the computer simulations experimentally. Hindawi Publishing Corporation 2016 2016-01-26 /pmc/articles/PMC4808794/ /pubmed/27066109 http://dx.doi.org/10.1155/2016/9658410 Text en Copyright © 2016 Yibing Li et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Yibing
Nie, Wei
Ye, Fang
Li, Ao
A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title_full A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title_fullStr A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title_full_unstemmed A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title_short A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity
title_sort fetal electrocardiogram signal extraction algorithm based on the temporal structure and the non-gaussianity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808794/
https://www.ncbi.nlm.nih.gov/pubmed/27066109
http://dx.doi.org/10.1155/2016/9658410
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