Multichannel electrocardiogram decomposition using periodic component analysis
Multichannel electrocardiogram decomposition using periodic component analysis
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DOI：
10.1109/tbme.2008.919714
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发表时间：
2008-08-01
影响因子：
4.6
通讯作者：
Shamsollahi, Mohammad B.
中科院分区：
文献类型：
--
作者：
Sameni, Reza;Jutten, Christian;Shamsollahi, Mohammad B.
在这封信中，我们提出了广义特征值分解的多通道心电图（ECG）记录的分解的应用。所提出的方法使用一个修改后的版本，以前提出的测量周期性和相位包裹的RR间隔，提取“最周期性”的线性混合物的记录数据集。结果表明，该方法是一种改进的扩展传统的源分离技术，特别是定制的ECG信号。因此，该方法是特别感兴趣的多通道ECG的分解和压缩，并从胎儿ECG记录的母亲ECG伪影的去除。
In this letter, we propose the application of the generalized eigenvalue decomposition for the decomposition of multichannel electrocardiogram (ECG) recordings. The proposed method uses a modified version of a previously presented measure of periodicity and a phase-wrapping of the RR-interval, for extracting the "most periodic" linear mixtures of a recorded dataset. It is shown that the method is an improved extension of conventional source separation techniques, specifically customized for ECG signals. The method is therefore of special interest for the decomposition and compression of multichannel ECG, and for the removal of maternal ECG artifacts from fetal ECG recordings.