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2012 (Vol. 4, Issue: 14)
Article Information:

Research and Application of Fetal Electrocardiogram Blind Signal Separation Technology

Dongfang Luo
Corresponding Author:  Dongfang Luo 

Key words:  FECG, blind source separation, ICA, informax, blind mixing signal, ,
Vol. 4 , (14): 2231-2235
Submitted Accepted Published
March 10, 2012 April 03, 2012 July 15, 2012
Abstract:

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%.
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  Cite this Reference:
Dongfang Luo, 2012. Research and Application of Fetal Electrocardiogram Blind Signal Separation Technology.  Research Journal of Applied Sciences, Engineering and Technology, 4(14): 2231-2235.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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