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Abstract
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Article Information:
Performance Comparison Research of the FECG Signal Separation Based on the BSS Algorithm
Xinling Wen and Dongfang Luo
Corresponding Author: Xinling Wen
Submitted: March 26, 2012
Accepted: April 17, 2012
Published: August 15, 2012 |
Abstract:
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Fetal Electrocardiogram (FECG) is a weak signal through placing the electrodes upon the maternal
belly surface to indirectly monitor, which contains all the forms of jamming signal. So, how to separate the
FECG from the strong background interference has important value of clinical application. Independent
Component Analysis (ICA) is a kind of developed new Blind Source Separation (BSS) technology in recent
years. This study adopted ICA method to the extraction of FECG and carried out the blind signal separation
by using the Fast ICA algorithm and natural gradient algorithm in the FECG separation research. The
experimental results shown that the two kind of algorithm can obtain the good separation result. But because
the natural gradient algorithm can achieve FECG online separation and separation effect is better than Fast ICA
algorithm, therefore, the natural gradient algorithm is a better way to used in FECG separation. And it will help
to monitor the congenital heart disease, neonatal arrhythmia, intrauterine fetal retardation and other diseases,
which has very important test application value.
Key words: Blind signal separation, fast ICA, FECG, ICA, MECG, ,
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Abstract
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Cite this Reference:
Xinling Wen and Dongfang Luo, . Performance Comparison Research of the FECG Signal Separation Based on the BSS Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (16): 2800-2804.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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