Eztraction of FECG Based on Time Frequency Blind Source Separtion and Wavelet De-noising
Extraction of the fetal electrocardiogram (FECG) from the mixture of maternal electrocardiogram (MECG) and noise is an important but hard task. The Electrocardiograph (ECG) signal presents non-stationary. In this work, a two stage method is proposed based on time frequency blind source separation and wavelet de-noising to extract FECG. In the first stage the recorded signals from the electrodes of pregrant woman are prewhitened, then the spatial time frequency matrix are computed using Cohens class spatial time-frequency distributions, joint diagonalization of the sets of spatial time frequency matrixes, the mixing matrix is estimated and the FECG corrupted by noise is extracted. In the second stage, the corrupted FECG is performed by wavelet transform to eliminate the affect of noise. By the two stages, a clear FECG signal is obtained and experiments on real world data show the validation of the proposed method.
fetal electrocardiogram blind source separation time freqency distribution wavelet denoise
MA Ming WANG Ning LEI San-Ya
Department of Avionics Engineering The First Aeronautic Institute of the Air Force Xinyang City,HeNan Province,PR of China
国际会议
北京
英文
1-3
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）