Adaptive filtering in phase space for foetal electrocardiogram estimation from an abdominal electrocardiogram signal and a thoracic electrocardiogram signal

Adaptive filtering in phase space for foetal electrocardiogram estimation from an abdominal electrocardiogram signal and a thoracic electrocardiogram signal
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DOI:
10.1049/iet-spr.2010.0263
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发表时间:
2012
期刊:
IET Signal Process.
影响因子:
--
通讯作者:
Wei Zheng;Hongxing Liu;Jianchun Cheng
Wei Zheng;Hongxing Liu;Jianchun Cheng
中科院分区:
其他
文献类型:
--
作者:
Wei Zheng;Hongxing Liu;Jianchun Cheng

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在这项研究中,自适应滤波相空间胎儿心电图(ECG)提取母亲的腹部ECG信号和胸部ECG信号的建议。利用孕妇的腹部ECG信号和胸部ECG信号重建相空间轨迹。通过相空间自适应局部建模,建立胸部心电信号与腹部信号中母体心电分量之间的非线性时变关系,估计腹部心电信号中的母体心电分量,然后将其从腹部心电信号中减去,获得胎儿心电估计值。局部建模过程是在相空间中每个点的空间相邻点上进行的,而不是通常在时间序列中每个点的时间相邻点上进行的。这可以利用周期性ECG信号的几何信息,并且在相空间中表示的更简单的局部关系使得关系的估计更容易且更准确。与经典的自适应滤波器相比,该方法在胎儿心电信号的恢复中具有更好的鲁棒性和保真度,对合成和真实的心电信号进行了测试。
In this study, an adaptive filtering in phase space for foetal electrocardiogram (ECG) extraction from a maternal abdominal ECG signal and a thoracic ECG signal is proposed. The phase space trajectory is reconstructed with one abdominal ECG signal and one thoracic ECG signal from a pregnant women. The non-linear and time-variant relationship between the thoracic ECG signal and maternal ECG component in abdominal signal is built by the adaptive local modelling in phase space, and the maternal ECG component in abdominal ECG signal can be estimated, which is then subtracted from the abdominal ECG signal to obtain a foetal ECG estimate. The local modelling process is carried on the spatial neighbouring points of each point in phase space, not on the temporal neighbouring points of each point in time sequence as usual. This can utilise the geometric information of the periodic ECG signal, and the simpler local relationship represented in phase space makes the estimation of the relationship easier and more accurate. Compared with the classical adaptive filter, the proposed method has shown the improved robustness and fidelity in restoration of the foetal ECG, testing with synthetic and real ECG signals.