A Novel Approach for Maternal and Fetal RPeaks Detection

Abstract

The electrocardiogram (ECG) signal is one of the new trends techniques for human identification and authentication. So detecting all waves that formed this signal is very important for human identification and authentication. This research work proposes a new algorithm for detecting most of ECG signals like the signals that have positive R-peaks, the signals that have negative R-peaks and the signals that have positive and negative R-peaks. The proposed algorithm is used for detecting R-peaks from maternal and fetal ECG signals. Recently various algorithms addressed this issue. The result of these algorithms show high accuracy for detecting positive R-peaks in case of (maternal ECG) but in case of negative R-peaks (the fetal ECG) show a very low accuracy for detecting this signal. In the proposed technique the ECG signal is treated as an image and the peaks for maternal and fetal ECG are detected with very high accuracy. Scanning and removing method are used to detect the peaks. The result shows that our proposed approach produces better results as compared to existing methods on typical fetal ECG database, in case of positive and negative R-peaks.