Electrocardiogram (ECG), as a biological signal that contains important information about the cardiac activities of heart, exhibits chaotic characteristics. Since a clean ECG signal is of vital importance in the diagnosis and analysis of heart diseases, we address the task of extracting ECG for a set of noisy observations. Based on the phase space similarity of ECG, we propose an objective called similarity index which fully describes this similarity. A low-complexity algorithm is presented for the similarity index. Simulation results confirm the effectiveness of the proposed method by making comparisons with conventional benchmarks.

中文翻译：

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基于相空间中相似度的ECG信号盲提取

心电图（ECG）作为包含有关心脏心脏活动的重要信息的生物信号，表现出混沌特性。由于干净的ECG信号在心脏病的诊断和分析中至关重要，因此我们致力于提取ECG以获得一系列嘈杂的观察结果。基于心电图的相空间相似性，我们提出了一个称为相似性指标的目标，该指标充分描述了这种相似性。针对相似度指标提出了一种低复杂度的算法。通过与常规基准进行比较，仿真结果证实了该方法的有效性。