Abstract

Info

Title:: Stationary wavelet transform-based method for fetal electrocardiogram extraction

Author(s):: ZU Qiuyu; LIN Yong; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:: ; fetal electrocardiogram; maternal electrocardiogram; stationary wavelet transform; multi-channel; single-channel; window averaging method; threshold denoising

Abstract:: Fetal electrocardiogram (ECG) signal extraction is of great significance to the detection of fetal health status in pregnancy. Here, we propose a single/multi-channel fetal ECG extraction method based on stationary wavelet transform. In the multi-channel environment, the input signals include the abdominal mixed signals and the maternal ECG signals. In the single-channel environment, the abdominal mixed signals are processed with window averaging method for obtaining maternal ECG signals, and then, the obtained maternal ECG signals were processed with stationary wavelet transform and threshold denoising to extract fetal ECG signals. PhysioNet data test shows that the proposed method can successfully extract the clear fetal ECG signals in single/multi-channel environment and effectively eliminate noise.