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2012 (Vol. 4, Issue: 16)
Article Information:

Research and Simulation of FECG Signal Blind Separation Algorithm Based on Gradient Method

Yu Chen and Cheng Zhao
Corresponding Author:  Yu Chen 

Key words:  Blind signal separation, EASI algorithm, FECG, gradient algorithm, MECG, ,
Vol. 4 , (16): 2707-2711
Submitted Accepted Published
March 23, 2012 April 20, 2012 August 15, 2012
Abstract:

Independent Component Analysis (ICA) is a new developed signal separation and digital analysis technology in recent years. ICA has widely used because it does not need to know the signal prior information, which has became the hot spot in signal processing field research. In this study, we firstly introduce the principle, meaning and blind source separation algorithm based on the gradient. By using the traditional natural gradient algorithm and Equi-variant Adaptive Source Separation via Independent (EASI) blind separation algorithm, mixing ECG signals with noises had been separated effectively into the Maternal Electrocardiograph (MECG) signal, Fetal Electrocardiograph (FECG) signal and noise signal. The algorithm separation test showed that EASI algorithm can better separate the fetal ECG signal and because the gradient algorithm is a kind of online algorithm, which can be used for clinical fetal ECG signal of the real-time detection with important practical value and research significance.
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  Cite this Reference:
Yu Chen and Cheng Zhao, 2012. Research and Simulation of FECG Signal Blind Separation Algorithm Based on Gradient Method.  Research Journal of Applied Sciences, Engineering and Technology, 4(16): 2707-2711.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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