Heart defects are among the most common birth defects and the leading cause of birth defect-related deaths. Eight out of one thousand born live infants have some form of heart defect, making it the single most common kashida; TEXT-ALIGN: justify; TEXT-KASHIDA: 0%; MARGIN: 0cm 0cm 0pt; unicode-bidi: embed; DIRECTION: ltr; mso-layout-grid-align: none" by timely treatment or planned delivery. The non-invasive Fetal ECG (FECG) monitoring by mea of abdominal surface electrodes provides valuable information about the cardiac electrical activity of fetus. In previou studies, variou method have bee developed for the processing and extractio of fetal electrocardiogram (ECG) signals recorded from the maternal body surface. However, due to the low signal-to-noise ratio of these signals, the applicatio of fetal electrocardiography ha bee limited to heartbeat analysis and invasive ECG recordings during labor. In this research we present a new method to achieve fetal heart rate in a first step and in a second step we try to get some information about morphology of fetal cardiac electrical signals; so we reduce noise of recorded signals from body surface, this reduction is performed by various methods and the best method is chosen. then we achieve to the fetal cardiac signal by separation presented method. In this approach the improvement of method based o ICA i possible and separation i performed by reductio i number of electrodes. online separation is another approach has been concentrated in thesis. Se and PDV obtained 98.2and 98.6 for offline separation and 98 and 97.33 for online separation. Keywords: Fetal ECG, ICA method, Online Extraction, Equivariant adaptive source eparation