Fetal Ecg Signal Enhancement
نویسندگان
چکیده
Fetal heart monitoring yields vital information about the fetus health and can support medical decision making in critical situations. A compound signal is obtained non-invasively by placing electrodes on the abdomen area of the mother which contains maternal and fetal ECG signals contaminated by various other signals from body and externally induced noises. The Polynomial Networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). Wavelet transform has been used as a post processing tool to de-noise the extracted FECG. This thesis addresses the enhancements achievable by the application of wavelet transform to FECG signals extracted by polynomial networks. Processing of both real and synthetic ECG data have been examined with proposed pre and post wavelet de-noising algorithms. Test results show improved extraction performance and successful removal of baseline wandering. Numerical results on signal-to-noise ratio for synthetic data are presented and results
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Electrocardiogram (ECG) is a valuable technique that has been in use for over a century. The analysis of fetal ECG signal has always been an interesting topic in the field of signal processing. The presence of noises in the ECG signal causes distortion in the signal morphology. While analyzing the fetal ECG this distortion of the signal is much more severe as the fetal ECG is much weaker than t...
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