This paper introduces a new and more appropriate ECG signal preprocessing using mediated morphological filters. These filters are based on a particular combination of median operator and classical morphological operators. The proposed method has been applied to adult and fetal ECG signals as an efficient preprocessing task. Accurate numerical descriptions demonstrate better performance quality ...

Background: Equine chorionic gonadotropin (eCG) is commonly used in association with a progestagen treatment to synchronize estrus of goats and ewes during breeding and non-breeding seasons. Classical purification of the eCG from serum includes pH fractionation with metaphosphoric acid two ethanol precipitation steps as well as dialysis followed by fixed-bed chromatography. Objectives: The aim ...

Extraction of Clinical Information from the Non-Invasive Fetal Electrocardiogram Joachim Behar Thesis submitted for the degree of Doctor of Philosophy Balliol college Michaelmas 2014 Estimation of the fetal heart rate (FHR) has gained interest in the last century; low heart rate variability has been studied to identify intrauterine growth restricted fetuses (prepartum), and abnormal FHR pattern...

The fetal electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the fetus and therefore, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of t...

This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature extraction of ECG signal would allow successful abnormality detection and efficient prognosis due to heart disorder. Some major important features ...

This paper evaluates the performance of some major Independent Component Analysis (ICA) algorithms like Hyv ̈arinen’s fixed point algorithm, Pearson based ICA algorithm and OGWE (Optimized Generalized Weighted Estimator) ICA algorithm in a biomedical blind source separation problem. Independent signals representing Fetal ECG (FECG) and Maternal ECG (MECG) generated and then mixed linearly to sim...