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基于独立分量分析的胎儿心电信号提取 被引量:8

A Method for Extracting FECG Based on ICA Algorithm
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摘要 研究独立分量分析方法在胎儿心电信号(FECG)提取中的应用,视胎儿心电信号与噪声为相互独立的信号源,采用FastICA算法,对来源于同一孕妇的观测信号进行独立分量分离,得到较为理想的FECG,实践证明:采用该方法提取FECG是一种有效的方法. The application of the Independent Component Analysis method in extracting fetal electrocardiogram is researched. FastlCA is used to distinguish the FECG and noises, which is based on statistical independence. Each independent components could be extracted quickly by FastICA,and the satisfied FECG has gotten. It is a new feasible signal processing method to apply ICA in extracting FECG.
作者 刘清欣 万红
出处 《华北水利水电学院学报》 2007年第3期45-47,共3页 North China Institute of Water Conservancy and Hydroelectric Power
关键词 独立分量分析 胎儿心电信号 盲源分离 independent component analysis fetal electrocardiogram (FECG) blind signal separation
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