The multiple fundamental frequency detection problem and the source separation problem from a single-channel signal containing multiple oscillatory components and a nonstationary noise are both challenging tasks. To extract the fetal electrocardiogram (ECG) from a single-leadmaternal abdominal ECG, we need to solve both challenges. We propose a novel method to extract the fetal ECG from a singl...

A 6-year-old male crossbred dog was referred to the Veterinary Medical Teaching Hospital of Islamic Azad University of Karaj with the history of abdominal distention, rectal tenesmus and stranguria. Abdominal radiographs and ultrasonography indicated large distended urinary bladder and prostatic enlargement. ECG showed temporary episodes of atrial standstill. The only abnormalities detected by ...

Nowadays, ICA based methods are widely used. However, ICA needs multiples channels for collecting electrocardiogram signals. One of the most significant advantages of utilizing ANFIS networks in FECG extraction is that the methods require only two record signals, one thoracic signal and one abdominal ECG signal. In the present work, ANFIS network is apply to extract the FECG signal from both EC...

a 6-year-old male crossbred dog was referred to the veterinary medical teaching hospital of islamic azad university of karaj with the history of abdominal distention, rectal tenesmus and stranguria. abdominal radiographs and ultrasonography indicated large distended urinary bladder and prostatic enlargement. ecg showed temporary episodes of atrial standstill. the only abnormalities detected by ...

Extracting clean fetal electrocardiogram (ECG) signals is very important in fetal monitoring. In this paper, we proposed a new method for fetal ECG extraction based on wavelet analysis, the least mean square (LMS) adaptive filtering algorithm, and the spatially selective noise filtration (SSNF) algorithm. First, abdominal signals and thoracic signals were processed by stationary wavelet transfo...

This paper presents a novel method for extracting the fetal ECG (FECG) from a single-lead abdominal signal. A dynamical model for a modified abdominal signal is proposed, in which both the maternal ECG (MECG) and the FECG are modeled, and then a parallel marginalized particle filter (par-MPF) is used for tracking the abdominal signal. Finally, the FECG and MECG are simultaneously separated. Sev...

Background: Fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. By early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant.Objective: Here, we extract fetal ECG from maternal abdominal recordings and detect R-peaks in order to recognize fetal heart rate. On the next step, we find a be...

Fetal ECG extraction has an important role in the medical diagnosis during pregnancy. This problem can be modeled from the approach of blind source extraction. The mathematical modeling of fetal ECG extraction using ICA algorithm is described in this paper. It also proposes an efficient BSS method (FCOMBI) for the extraction of fetal ECG. This algorithm combines the strengths of non-Gaussianity...