Abstract
Fetal Electrocardiogram Extraction (FECG) identifies the congenital heart problems at the earlier stage. The major problem in the non invasive procedure is the extraction of FECG from Maternal ECG (MECG) and many interferences. The proposed methods (i) Combination of Adaptive Neuro Fuzzy Inference (ANFIS) and Fractional spline wavelet (ii) Combination of Fractional spline wavelet and ANFIS (iii) Combination of ANFIS and SURE-LET and (iv) Combination of SURE-LET and ANFIS remove the unwanted noises present in the FECG more effectively. This new approach extracts FECG by removing the noisy Abdominal ECG (AECG) and subsequently cancels the MECG. The pure thoracic ECG (TECG) or maternal ECG was used to remove noisy MECG present in the signal from abdomen signal and thereby the required noiseless FECG is extracted by means of the new approach. The excellence of the LET techniques are evaluated using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The result of combination of ANFIS and SURELET gives the best result and the closest match to the simulated FECG with high PSNR and low MSE among all the proposed methods.
Highlights
The fetal Electrocardiogram (FECG) calculates fetal cardiac frequency and in the prediction of fetal acidosis
The required FECG signal was obtained by the methods given below:
The steps for the Fractional spline wavelet denoising are as follows: Analysis of Method II: The simulated abdominal signal is denoised using SURELET transform technique and the denoised signal is fed into Adaptive Neuro-Fuzzy Inference System (ANFIS) for FECG extraction
Summary
The fetal Electrocardiogram (FECG) calculates fetal cardiac frequency and in the prediction of fetal acidosis. Medical treatment can be given to the mother at the earlier stages if any abnormalities are found and thereby congenital problems can be avoided. The ECG signals are taken by placing electrodes on the mother’s thorax and abdomen. The ECG signals obtained from maternal abdomen are a combination of fetal ECG, maternal ECG, noises like electromyogram, power line interference, base line wander and other random noises. For the extraction of FECG, estimation from the abdominal signal and separation from the noises are essential
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