基于小波消噪和自适应滤波的FECG提取

Fetal ECG Extraction Based on Wavelet Denoising and Adaptive Filtering

应用小波分析和自适应滤波消噪相结合的方法提取胎儿心电(feta electrocardiogram,FECG)信号.对样本信号对软阈值去噪和硬阈值去噪进行了对比分析,发现软阈值去噪较好.把去噪后的信号作为自适应滤波消噪的参考信号,将腹部信号作为主输入信号,构建了基于RLS自适应噪声抵消(recursive least squares adaptive noise cancellation)系统,并对其进行了样本试验.

A method based on wavelet analysis and recursive least squares adaptive noise cancellation filtering is used to extract FECG. Two approaches of soft threshold and hard threshold are compared and the result shows that the effect with soft threshold is better than that with hard threshold. A RLS adaptive noise cancellation system is built with the signals after noise cancellation as the reference input of adaptive filteing denoising and the abdominal signals as main input. A sample signal is used to test the system built.