Authors : R. Swarnalatha and D.V. Prasad
Abstract: In this study, we investigate the use of wavelet transform denoising along with two stage adaptive filtering technique for fetal electrocardiogram (FECG) extraction from the two ECG signals recorded at the thoracic and abdominal areas of the mother’s skin. The abdominal ECG (AECG) is considered to be composite as it contains both the mother’s and fetal ECG signal, whereas the thoracic ECG (TECG) is considered to be almost completely maternal ECG (MECG). By canceling the maternal ECG from the abdominal signal, the fetal ECG is enhanced. The maternal component in the abdominal ECG signal is nonlinearly transformed version of the MECG. We use the wavelet transform to decompose the abdominal signal and FECG component is extracted by adaptive filtering technique. The proposed method is applied to real ECG signals. The proposed technique in extracting the FECG component from abdominal signal of very low maternal to fetal signal-to-noise ratio. The visual results are obtained and show that the technique is capable of extracting FECG even when it is embedded with complex maternal signal.
R. Swarnalatha and D.V. Prasad, 2009. Interference Cancellation in FECG Using Wavelet-Adaptive Filtering Technique. Journal of Engineering and Applied Sciences, 4: 353-357.