Extraction of fetal electrocardiogram using adaptive neuro-fuzzy inference systems
Extraction of fetal electrocardiogram using adaptive neuro-fuzzy inference systems
复制标题
DOI：
10.1109/tbme.2006.883728
复制
发表时间：
2007-01-01
影响因子：
4.6
通讯作者：
Assaleh, Khaled
中科院分区：
文献类型：
--
作者：
Assaleh, Khaled
在本文中，我们探讨了使用自适应神经模糊推理系统（ANFIS）的胎儿心电图（FECG）提取两个ECG信号记录在胸部和腹部地区的母亲的皮肤。胸部ECG被假定为几乎完全是母体的（MECG），而腹部ECG被认为是复合的，因为它包含母亲和胎儿的ECG信号。腹部ECG信号中的母体分量是MECG的非线性变换版本。我们使用ANFIS网络来识别这种非线性关系，并将MECG信号与腹部ECG信号中的母体成分对齐。因此，我们通过从腹部ECG信号中减去MECG信号的对齐版本来提取FECG分量。我们验证我们的技术上的真实的和合成的ECG信号。我们的研究结果表明，所提出的技术在提取胎儿心电分量的腹部信号非常低的母亲胎儿信噪比的有效性。结果还表明，该技术是能够提取胎儿心电图，即使它是完全嵌入在母体QRS波群。
In this paper, we investigate the use of adaptive neuro-fuzzy inference systems (ANFIS) for fetal electrocardiogram (FECG) extraction from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be almost completely maternal (MECG) while the abdominal ECG is considered to be composite as it contains both the mother's and the fetus' ECG signals. The maternal component in the abdominal ECG signal is a nonlinearly transformed version of the MECG. We use an ANFIS network to identify this nonlinear relationship, and to align the MECG signal with the maternal component in the abdominal ECG signal. Thus, we extract the FECG component by subtracting the aligned version of the MECG signal from the abdominal ECG signal. We validate our technique on both real and synthetic ECG signals. Our results demonstrate the effectiveness of the proposed technique in extracting the FECG component from abdominal signals of very low maternal to fetal signal-to-noise ratios. The results also show that the technique is capable of extracting the FECG even when it is totally embedded within the maternal QRS complex.