یک روش جدید استخراج ECG جنین جدید با استفاده از مقدار چولگی آن که در دامنه خاص خاص قرار دارد A New Fetal ECG Extraction Method Using its Skewness Value Which lies in Specific Range

Studies show that the most important source of mother’s stress in pregnancy is because of fetus’s health condition. Every year about eight out of one thousand babies are born with some form of congenital heart defects. The defect may be so slight that the baby appears healthy for many years after birth, or so important that his/her life is in immediate danger. One way of knowing about the fetus’s health condition in pregnancy is to consider the electrocardiographic signal recorded using non-invasive method. In this method, electrocardiograms are recorded from the mother’s abdomen. Recorded signal is a combination of mother’s electrocardiogram after travelling from the chest to abdomen, fetus’s electrocardiogram and noise. Most cardiac defects have some manifestation in morphology of cardiac electrical signals, which are recorded by electrocardiography and are believed to contain much more information as compared with conventional sonographic methods. However, due to the low SNR of fetal electrocardiogram (ECG) recorded from the maternal body surface, we need an algorithm to extract fetal electrocardiogram among these recorded signals. Recently, researchers found that the problem can be modelled as the blind source separation (BSS). Blind Source Separation (or, Independent Component Analysis, ICA), extracts all the source signals from a large number of observed sensor signals could take a long time and only a very few source signals are subjects of interest. For this application, another technique, blind (semi-blind) signal extraction (BSE) is a powerful candidate, since the BSE learning algorithms can extract a single source signal from a linear mixture of source signals. Therefore we are seeking three following targets: Extracting only desired signal (FECG) as an output Improving quality of extracted signal by increasing SNRsvd and SNRcor. Decreasing the computational time in order to making a real-time algorithm. For achieving targets mentioned above we proposed an algorithm that using the range of skewness value of desired signal (FECG). Validity of our approach has been tested on real-world ECG data. The remainder of paper is organised as follow: After a brief review of literatures in section 2, section 3 details the approach we proposed. Section 4 reports the experimental results and finally section 5 contains concluding remarks.