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Extraction of the atrial activity from the ECG based on independent component analysis with prior knowledge of the source kurtosis signs

机译:基于具有源峰度符号的先验知识的独立分量分析从ECG中提取心房活动

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摘要

In this work it will be shown that a contrast for independent component analysis based on prior knowledge of the source kurtosis signs (ica-sks) is able to extract atrial activity from the electrocardiogram when a constrained updating is introduced. A spectral concentration measure is used, only allowing signal pair updates when spectral concentration augments. This strategy proves to be valid for independent source extraction with priors on the spectral concentration. Moreover, the method is computationally attractive with a very low complexity compared to the recently proposed methods based on spatiotemporal extraction of the atrial fibrillation signal.
机译:在这项工作中,将显示出在引入约束更新时,基于源峰度征兆(ica-sks)的先验知识进行独立成分分析的对比能够从心电图中提取出心房活动。使用频谱集中度度量,仅当频谱集中度增加时才允许信号对更新。事实证明,该策略对于先验光谱浓度的独立源提取是有效的。而且,与最近提出的基于时空提取心房颤动信号的方法相比,该方法在计算上具有吸引力,并且复杂度非常低。

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