Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising
نویسندگان
چکیده
Fetal electrocardiogram (fECG) monitoring is a technique for obtaining important information about the condition of the fetus during pregnancy and labour by measuring electrical signals generated by the fetal heart as measured from multi-channel potential recordings on the mother body surface. It is shown in this paper that the fetal ECG can be reconstructed by means of higher order statistical tools exploiting ECG non-stationarity associated with post-denoising with wavelets. The method is illustrated on real fetal ECG data.
منابع مشابه
Robust Fetal Heart Beat Detection by Applying Stationary Wavelet Transform
Fetal electrocardiogram (fECG) analysis, i.e., the analysis of the heart rate (HR) and the fECG morphology, offers clinicians vital information about fetal health condition. The fECG can be acquired non-invasively by applying electrodes on maternal abdomen, but the recorded abdominal signal (ADS) contains not only the signal of interest, fECG, but also some physiological (e.g., maternal electro...
متن کاملA new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction
The fetal electrocardiogram (fECG) monitoring yields important information about the fetus condition during pregnancy and it consists in collecting electrical signals by some sensors on the body of the mother. The Independent Component Analysis (ICA) has been widely exploited to isolate the fECG, while wavelet transform has been used as post-processing tool. Here we propose to fit the recently ...
متن کاملWavelet-ICA based Denoising of Electroencephalogram Signal
Electroencephalogram (EEG) signals are having very small amplitudes and because of that they can be easily contaminated by different Artifacts. The presence of artifacts makes the analysis of EEG difficult for clinical evaluation. The major types of artifacts that affect the EEG are Power Line noise, eye movements, Electromyogram (EMG), and Electrocardiogram (ECG). Out of these artifacts Power ...
متن کاملNonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction
In this work, we tackle the problem of fetal electrocardiogram (ECG) extraction from a single sensor. The proposed method is based on non-parametric modelling of the ECG signal described thanks to its second order statistics. Each assumed source in the mixture is thus modelled as a second order process thanks to its covariance function. This modelling allows to reconstruct each source by maximi...
متن کاملFetal 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 ...
متن کامل