FPGA based non-invasive heart rate monitoring system for detecting abnormalities in Fetal

Abstract

The aim of this paper is to extract the Fetal Electrocardiogram (FECG) signal from the mother's abdomen signal which is an important signal to analyze the abnormalities of the fetal heart by a physician. Fetal ECG is extracted from the mother's abdomen by using least-mean-square (LMS) adaptive filter based on the FIR filter coefficients. This FECG is used to calculate the fetal heart beat and the period of the signal based on our estimation. By using this system FECG can be taken after the pregnancy of 20 weeks. To take FECG in real time, maternal woman should wear a wide belt around her abdomen which is fitted with several ECG electrodes. The data collected from the electrodes are sent to a system and then analyzed with the help of adaptive noise canceller algorithm, which is used to separate the signals. This separation is here done based on predefined values by using the Lab VIEW tool. And also the FIR filter has been designed and simulated using Xilinx ISE 12.1 and implemented in Spartan 3 Family FPGA.