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During pregnancy, the motivation for monitoring the fetal heart rate is to recognize pathologic conditions, typically asphyxia, with sufficient warning to enable intervention by the clinician. Therefore, FHR carries a significant importance of clinical perspectives. Digital Signal Processing based techniques have played a significant role in obtaining and processing the fetal ECG signal. The objective of this project is to extract the fetal heart rate from abdominal electrocardiogram (ECG). In this work an algorithm to extract the fetal heart rate from the abdominal electrocardiogram (ECG) is presented. In this work Invasive (Abdominal and direct fetal ECG database ) Database is used. The signal were digitized at 1KHz. Firstly ( Maternal’s + Fetal’s) QRS peaks are detected by Pan and Tompkins algorithm. Then a threshold value for maternal’s R peak is selected. Then maternal peaks are removed by taking average of Q to S values. Next a bandpass filter is applied in order to filter out the fetal ECG signal. After this, fetal’s QRS peaks are detected using Pan and Tompkins algorithm. The QRS detection of the fetal ECG signal has been done in order to get the fetal R peaks values to calculate the fetal R-R interval and heart rate.
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