CAD for the Detection of Fetal Electrocardiogram through Neuro-Fuzzy Logic and Wavelets Systems for Telemetry

Abstract

Telemetry is used for sensing and measuring of information at some location and then to transmit to desire location. It is very useful for medical monitoring too. The electrical activity of heart is measured in the form of electrocardiogram (ECG) at skin. The monitoring of fetus ECG(FECG) is important to monitor the baby inside mom abdomen. The observation during labour and delivery is done by monitoring fetus heart rate(FHR). The abdominal electrocardiogram(AECG) consist of FECG as well as maternal electrocardiogram(MECG). The amplitude of FECG is very less in compare to MECG. So its difficult to separate. In this paper we use orthogonal frequency division multiplexing (OFDM) for transmission from remote area with high signal to noise ratio(SNR). Wavelet transforms (WT) and artificial intelligence systems is used to de-noise composite signal and to obtain FCEG from AECG. Coding is done in MATLAB and computer added diagnosis(CAD) is used to avoid any mistakes. The artificial neural network and fuzzy interference system (ANFIS) is used to get exact F-ECG at desired location.