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The Extraction of Ventricular Late Potentials Based on Sparse Component Analysis

机译:基于稀疏成分分析的心室晚电位提取

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摘要

Blind source separation technology was applied to separate and extract different components from observed electrocardiograph signals. The electrocardiograph signal with ventricular late potentials presents the sparseness. Two-step approach of sparse component analysis was used in extraction of ventricular late potentials. An improved method of estimating the mixing matrix was proposed. It can improve estimation precision of mixing matrix about the source signals whose amplitudes have large difference in all or particular frequency bands, which realizes the source signal separation nondestructively. Simultaneously, the estimated signals are output in order solving the order uncertainty of independent component analysis. It is proved that sparse component analysis greatly enhances extraction precision of ventricular late potentials.
机译:盲源分离技术被应用于从观察到的心电图信号中分离和提取不同的成分。具有心室晚期电位的心电图信号呈现稀疏状态。稀疏成分分析的两步法用于心室晚期电位的提取。提出了一种改进的混合矩阵估计方法。可以提高振幅在所有或特定频带上差异较大的源信号周围的混合矩阵的估计精度,从而实现了无损信号的分离。同时,输出估计信号以解决独立分量分析的阶次不确定性。事实证明,稀疏成分分析极大地提高了心室晚期电位的提取精度。

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