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Fetal electrocardiogram extraction using Robust Independent Component Analysis

机译:使用鲁棒独立分量分析胎儿心电图提取

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摘要

The extraction of Fetal Electrocardiogram (FECG) from maternal cutaneous electrocardiogram (ECG) recordings is of prime importance in assessing fetal well being for antenatal and postnatal care. However, these recordings are contaminated with various kinds of noise like power-line interference, base line wander, high frequency noise, electromyogram (EMG) noise etc. This paper proposes a frequency domain approach to the extraction of FECG using Robust Independent Component Analysis (RobustICA). The efficiency of the proposed method for FECG extraction and artifact removal is validated using real and synthetic ECG signals.
机译:胎儿心电图(FECG)的提取来自母体皮肤心电图(ECG)记录是评估胎儿福祉的主要重要性。然而,这些录音受到电源线干扰等各种噪声的污染,基线漫游,高频噪声,电灰度(EMG)噪声等。本文提出了使用鲁棒独立分量分析( Robustica)。使用真实和合成的ECG信号验证了用于FECG提取和伪影去除方法的提出的方法的效率。

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