Detection Of Fetal Electrocardiogram from Multivariate Abdominal Recordings by using Wavelets and Neuro-Fuzzy Systems

Abstract

The fetal electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains  information  on  the health  status of the fetus and therefore, an early diagnosis of any cardiac defects before delivery (Specially in case of  labour pain) increases the effectiveness 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 for estimating the FECG component from one abdominal ECG recording and one reference thoracic maternal electrocardiogram (MECG) signal. The obtained FECG is being enhanced by using wavelet transform.

Key words: ECG, MECG, FECG, Neural network , Fuzzy logic, Membership function and Wavelet transform.