Comparison of Algorithms for Fetal ECG Extraction

نویسنده

  • Winnie Rachel Cherian
چکیده

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 the adult ECG The work compares the method of projective filtering for fetal ECG extraction with a simple FIR filter based genetic algorithm for fetal ECG extraction. The work finds out that the genetic algorithm based FIR filter is more effective when multichannel signals are considered and PFTAB combined with NMF is effective when single channel signals are considered. Keywords— Abdominal ECG, Extraction, Enhancement, Fetal ECG, Genetic algorithm

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تاریخ انتشار 2014