Fetal electrocardiogram extraction algorithm based on BSS in noise

被引：0
|
作者：
Liu, Jianting [1 ]
Li, Rui [2 ]
Wang, Fasong [3 ]
机构：
[1] Department of Mathematics, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
[2] School of Sciences, Henan University of Technology, Zhengzhou 450052, China
[3] China Electronics Technology Group Corporation, The 27th Research Institute Zhengzhou, China
来源：
Journal of Computational Information Systems | 2010年 / 6卷 / 04期
关键词：
Electrocardiography - Discrete wavelet transforms - Signal reconstruction - Extraction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we introduce a fetal electrocardiogram (FECG) blind source extraction (BSE) algorithm based on blind source separation (BSS) in noise. We first build the basic BSS model for FECG, then some preprocessing procedures based on the discrete wavelet transformation (DWT) are constructed. Using DWT we can move the conventional time-domain signals to the wavelet-domain, and then the source number is detected and the noise in FECG can be reduced. According this preprocessing and second-order statistics(SOS), the proposed robust FECG extraction algorithm is derived. Experimental validation of the theoretical model is also presented in the case of real world signals. Copyright © 2010 Binary Information Press.
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收藏
页码：1117 / 1126
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