FETAL ELECTROCARDIOGRAM EXTRACTION USING BFOA-BASED ADAPTIVE FILTER

Abdussamad Umar Jibia, Aminu Inuwa

Abstract


In this paper, a new bacterial foraging optimization algorithm (BFOA)-based adaptive filter is proposed for the extraction of fetal electrocardiogram (ECG) signal. A noninvasive two-point method is used to record thoractic and abdominal ECG signals from the mother’s body. The abdominal ECG (AECG) signal consists of fetal heart signal, the distorted maternal heart signal and noise. The thoractic signal contains the undistorted maternal heart signal. The two signals are applied to an adaptive filter whose coefficients are optimally determined by the conventional least means square (LMS) algorithm and BFOA. Simulation results using both synthetic signals and real data from Physionet shows the superiority of the new approach over conventional methods.


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References


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