噪声背景下的胎儿心电提取

Fetal Electrocardiogram Extraction from Instantaneous Noisy Mixtures

在实际应用中,考虑有噪声影响的胎儿心电提取算法具有现实意义,因此本文提出了噪声背景下的基于归一化均方预测误差的新的胎儿心电提取算法。该算法在目标函数中去除了噪声的干扰。理论分析和仿真实验表明了该算法的有效性。与不考虑噪声的胎儿心电提取算法相比,该算法具有更好的提取性能。

It is realistic to extract the fetal electrocardiogram （FECG） from noisy mixtures, so a new algorithm for FECG extraction is proposed based on the normalized mean square prediction error. The algorithm is justified by both the analysis and experiment results. Moreover, the noise effect is removed from the cost function. Compared with the FECG extraction from instantaneous noisy-free, the algorithm has the better extraction performance.