Method on Fetal Electrocardiogram Extraction Utilizing LightGBM Combined with EKF

Liang Han, Wentao Cai, Xiu-Juan Pu, Haipeng Guo, Long Zhang, Yaling Tang
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Abstract

A novel method on fetal electrocardiogram (FECG) extraction utilizing LightGBM combined with Extended Kalman Filter (EKF) was proposed. Firstly, the nonlinear transform between maternal electrocardiogram (MECG) and MECG component in the abdominal signal was estimated using LightGBM. Then the optimal estimation of MECG component was obtained by MECG undergoing the estimated nonlinear transform. And noisy FECG was extracted by suppressing the estimated MECG component. At last, the FECG denoising was performed by use of EKF. The clinical data are adopted to validate the proposed FECG extraction method. The experimental results show that the proposed FECG extraction method is better than other conventional methods both on visual results and objective assessment.
光导结合EKF提取胎儿心电图的方法
提出了一种结合扩展卡尔曼滤波(EKF)和LightGBM的胎儿心电图提取新方法。首先,利用LightGBM估计母体心电图(MECG)与腹部信号中MECG分量之间的非线性变换;然后对MECG进行估计的非线性变换,得到MECG分量的最优估计。通过抑制估计的MECG分量提取有噪声的FECG。最后,利用EKF对FECG进行去噪。采用临床数据验证所提出的FECG提取方法。实验结果表明,该方法在视觉效果和客观评价上都优于其他传统方法。
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