摘要
根据独立分量分析(ICA)理论,要想在观测信号中提取出独立分量,观测信号的数目必须大于或等于独立分量的数目,因此要求采用ICA算法的胎儿心电图机导联数必须大于一定数目,但在实际应用中常常难以满足这个条件。故本文提出了一种基于少数导联心电(ECG)信号的胎儿心电(FECG)提取算法,结合FECG和自适应噪声抵消算法,从两导采集于孕妇腹部体表的ECG信号中提取FECG。实验表明,该方法能够获得清晰的FECG信号。
According to the independent component analysis （ICA） theory, in order to seperate the fetal electrocardiograms （FECG） from the observed data, we must use the larger number of observed signals than that of independent components. This requires that the number of the sentors on the electrocardiograph must be larger than a particular value, which is in practice hard to be satisfied. So we proposed another algorithm using fewer channels of abdominal electrocardiograms, which combines ICA and adaptive noise cancellation to extract the FECG from two leads of abdominal electrocardiograms. The experiment results showed that we could obtain clear FECG by the method we proposed.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2011年第6期1223-1226,共4页
Journal of Biomedical Engineering
关键词
胎儿心电
独立分量分析
自适应噪声抵消
Fetal electrocardiogram （FECG）
Independent component analysis （ICA）
Adaptive noise cancellation
