A real-time fetal ECG feature extraction using multiscale discrete wavelet transform

Abstract

In this study we have developed real time fetal electrocardiogram (FECG) feature extraction system based on multi-scale discrete wavelet transform (DWT). Wavelet based peak detection are used to detect QRS complex more accurately for identifying peaks and valleys of noisy FECG signal. Two-channel perfect reconstruction (PR) filter banks are used to implement the efficient way discrete wavelet transform. The developed fetal maternal ECG monitor machine has been tested in a local hospital on a sample group of 35 pregnant women at different interval during gestation period. This reliable system detects all FECG beats to the accuracy better than 99.5 % considering limitation of measuring system parameters in five minutes recording of each subject.