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

Joint Authors

Li, Yi-bing
Ye, Fang
Li, Ao
Nie, Wei

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-01-26

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Li, Yi-bing& Nie, Wei& Ye, Fang& Li, Ao. 2016. A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100243

Modern Language Association (MLA)

Li, Yi-bing…[et al.]. A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1100243

American Medical Association (AMA)

Li, Yi-bing& Nie, Wei& Ye, Fang& Li, Ao. A Fetal Electrocardiogram Signal Extraction Algorithm Based on the Temporal Structure and the Non-Gaussianity. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100243

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1100243