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Abstract
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Article Information:
Research and Application of Fetal Electrocardiogram Blind Signal Separation Technology
Dongfang Luo
Corresponding Author: Dongfang Luo
Submitted: March 10, 2012
Accepted: April 03, 2012
Published: July 15, 2012 |
Abstract:
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FECG (Fetal Electrocardiogram) is weak signal indirect monitored between the electrode that placed
upon the mother abdominal the matrix surface, which contains all the forms of jamming signal. How to
separate the Fetal from the strong background interference has important value of clinical application, but this
is a difficult problem in the signal processing field. Independent Component Analysis (ICA) is a kind of Blind
Signal Separation (BBS) technology that not need to know prior signal. This study introduced the basic theory
of ICA, discussed the application of ICA in the blind mixed FECG signal, given the information maximization
(Informax) blind source separation algorithm and simluated the instantaneous mixed FECG signal. The
experimental results show that this method can effectively improve the operation efficiency and achieve a good
separation effect, the monitoring time error is less than 0.5% and the feature point frequency of spectrum
diagram error is less than 1%.
Key words: FECG, blind source separation, ICA, informax, blind mixing signal, ,
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Cite this Reference:
Dongfang Luo, . Research and Application of Fetal Electrocardiogram Blind Signal Separation Technology. Research Journal of Applied Sciences, Engineering and Technology, (14): 2231-2235.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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