Morphology extraction of fetal electrocardiogram by slow-fast LSTM network

Fetal Electrocardiogram Extraction by Blind Subspace Separation

Hardware Prototyping of Neural Network based Fetal Electrocardiogram Extraction

The aim of this paper is to model the algorithm for Fetal ECG (FECG) extraction from composite abdominal ECG (AECG) using VHDL (Very High Speed Integrated Circuit Hardware Description Language) for FPGA (Field Programmable Gate Array) implementation. Artificial Neural Network that provides efficient and effective ways of separating FECG signal from composite AECG signal has been designed. The p...

Fetal Electrocardiogram Extraction and Analysis

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 ...

Abdominal Electrodes Analysis by Statistical Processing for Fetal Electrocardiogram Extraction

Obstetricians were asking the engineering support to study more extensively any technical possibility to electronically get some useful information from the whole PQRST complex of the fetal electrocardiogram (fECG) in order to identify eventual sign of fetal distress (FD). The latter should indeed be found as a more reliable information for the clinician with the potential benefit of increasing...