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A novel model for abdominal electrocardiography of a pregnant woman

机译:孕妇腹部心电图的新型模型

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This paper formulizes the stationary abdominal electrocardiography (AECG) from pregnant woman as an instantaneous linear model. Then signal to noise ratio (SNR) parameters are defined based on the model and it supports toward evaluating the performance of different algorithm on extracting fetal electrocardiography (FECG). Quantification noise parameters are also considered in the model. This model is tailored for applying independent component analysis (ICA) to separate FECG and maternal ECG signal from AECG. Based on this model, signal to noise ratio (SNR) can be calculated for simulated signals. It is concluded that ICA works magnificent in order to extract FECG even in SNR = -200 dB using simulated data without quantification noise. It showed that the performance was drastically decreased in existence of quantification noise.
机译:本文建立了孕妇的静态腹部心电图(AECG)作为瞬时线性模型。然后基于该模型定义信噪比(SNR)参数,并支持评估不同算法在提取胎儿心电图(FECG)方面的性能。模型中还考虑了量化噪声参数。该模型是为应用独立成分分析(ICA)来将FECG和母体ECG信号与AECG分开而设计的。基于此模型,可以为模拟信号计算信噪比(SNR)。结论是,即使使用不带量化噪声的模拟数据,即使在SNR = -200 dB的情况下也能提取FECG,ICA才能发挥出色的作用。结果表明,在存在量化噪声的情况下,性能急剧下降。

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