Fetal Electrocardiogram Signal Extraction by ANFIS Trained with PSO Method

Fetal ECG Extraction Using ANFIS Trained With Genetic Algorithm

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...

Fetal Electrocardiogram Extraction by Blind Subspace Separation

Fetal Electrocardiogram Extraction and Analysis

A Fetal Electrocardiogram Signal Extraction Algorithm Based on Fast One-Unit Independent Component Analysis with Reference

Fetal electrocardiogram (FECG) extraction is very important procedure for fetal health assessment. In this article, we propose a fast one-unit independent component analysis with reference (ICA-R) that is suitable to extract the FECG. Most previous ICA-R algorithms only focused on how to optimize the cost function of the ICA-R and payed little attention to the improvement of cost function. They...

Fetal Electrocardiogram Extraction and Performance Analysis

In biomedical engineering, to extract the fetal electrocardiogram (FECG) exactly is a significant and challenging research topic, and so it has been a hot field in biomedical research. Now, a variety of different methods have been proposed to address this problem. From the perspective of blind signal processing, FECG extraction can be modeled as Blind source separation (BSS). In this paper, we ...