A New FECG Extraction Method Based on Improved Independent Component Analysis

被引：0
|
作者：
Nie, Wei [1 ]
Lv, Wei [2 ]
Li, Yibing [1 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] China United Network Commun Ltd, Heilongjiang Branch, Harbin 150000, Heilongjiang, Peoples R China
来源：
PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) | 2016年
基金：
中国国家自然科学基金;
关键词：
FECG; time-correlation; ICA; BSE; BLIND SOURCE EXTRACTION; TEMPORAL STRUCTURE; FETAL ELECTROCARDIOGRAM; SEPARATION ALGORITHM; AUTOCORRELATIONS; SIGNALS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new method to extract fetal electrocardiogram (FECG) signal from the mixed ECG signals is presented by introducing time-correlation to traditional independent component analysis (ICA). FECG signal extraction is a hot research topic because the FECG signal reflects the heart situation of the fetus and provides the basis of early diagnosis. In this paper, an objective function based on time-correlation and non-Gaussianity described in ICA is proposed. Maximizing the objective function, we present a fixed-point blind source extraction (BSE) algorithm. Simulation experiments of some typical data indicate the availability of the proposed algorithm. What's more, the proposed algorithm owns better performance than the comparison algorithms.
引用
收藏
页码：1408 / 1411
页数：4
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