IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 11, Issue 3, Ver. III (May-Jun .2016), PP 35-41 www.iosrjournals.org DOI: 10.9790/2834-1103033541 www.iosrjournals.org 35 | Page Detection of Abnormalities in Fetal by non invasive Fetal Heart Rate Monitoring System Ashwitha.K Shetty 1 , Dr. Jose Alex Mathew 2 1,2 (Department of ECE, Sahyadri College of Engineering and Management/ VTU, India) Abstract: Fetal Heart rate is very important to obtain the information about the fetal condition during pregnancy. This is obtained by detecting the peaks of the FECG signal in R-R interval FECG is obtained here by extracting from the composite abdominal ECG. Extraction using advanced and powerful tools has been the ultimate interest in the biomedical field. Here the FECG is obtained from abdominal ECG by treating Maternal ECG as noise. Least Mean Square adaptive filter is used for this purpose. Noise like Power line interference and DC drift are removed by using notch filter and Chebyshev Filter respectively. Finally the peaks are counted for detecting abnormalities. Implementation is done using MATLAB GUI. Keywords: abdominal ECG; MECG; FECG; LMS; MATLAB GUI. I. Introduction During pregnancy and labor, Fetal heart rate (FHR) indirectly indicates the Fetal well- being. Proper information obtained results in good treatment[1]. If the heart rate is abnormal then it means that there is insufficient oxygen supply or any other problems[2]. The simple test which is used for this is Electrocardiogram (ECG) and is non invasive[3]. The electrical activity of heart is reflected in this ECG Signal which is obtained by employing a set of electrodes on patient[4]. Fetal ECG (FECG) that is extracted from the abdominal ECG (AECG) signal gives the FHR by counting the peaks. AECG contains FECG as well as Maternal ECG (MECG). Hence MECG is treated as noise and eliminated. ECG signal contains noises like power line interference, electromyography, baseline wander etc. [5]. FECG extraction is done based on Least Mean Square adaptive Filtering technique. Two ECG signals that is MECG and AECG are preprocessed to remove the power line interference of 50 Hz and then the extraction is done. To detect the heart rate post processing is done which removes DC drift and counts the peak to detect the FHR for abnormalities. II. FECG Tracing 2.1 ECG Tracing Fig. 1: Typical ECG Signal Typical ECG signal shown in figure 1 contains P, QRS, T and U waves. P-wave is very small and curved. Next comes the QRS complex, which is the combination of sharp Q, R and S Points. T-wave followed by QRS complex is also curved having its amplitude more than that of P-wave. The important wave that is used to detect the heart rate is the QRS complex [6]. In ECG system contains 12-lead that includes three limb leads I, II or MLII, III, three augmented leads aVR, aVL, aVF , six precordial leads like V1, V2, V3, V4, V5, V6. These are the commonly used ECG system in clinic or health care centers[7].