DETECTION OF FETAL ELECTROCARDIOGRAM FROM MULTIVARIATE ABDOMINAL RECORDINGS BY USING WAVELETS AND NEURO-FUZZY SYSTEMS

Abstract

The fetal electrocardiogram (FECG) signal is outcome of  the electrical activity of the fetal heart after 21 days of the pregnancy.  It contains  information  about the health  status of the fetus and so, an early diagnosis of any cardiac defects before delivery (Specially in case of  labour pain) increases the  chance of the appropriate treatment. In this paper we consider one signal from the thoracic and another from abdomen of the mother. The artificial neural network fuzzy inference system (ANFIS) is used to obtain the FECG component from abdominal ECG recording and reference thoracic maternal electrocardiogram (MECG) signal. The obtained FECG is being enhanced by using wavelet transform.

Keywords: ECG, FECG, Fuzzy Logic, MECG, Membership function and Wavelet transform, Neural network


Article Review Status: Published

Pages: 45-51 (Download PDF)

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