A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
A review of signal processing techniques for non-invasive fetal electrocardiography
Fetal electrocardiography (fECG) is a promising alternative to cardiotocography continuous
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …
fetal monitoring. Robust extraction of the fetal signal from the abdominal mixture of maternal …
Atrial fibrillation detection using convolutional neural networks on 2-dimensional representation of ECG signal
B Król-Józaga - Biomedical Signal Processing and Control, 2022 - Elsevier
Atrial fibrillation (AFIB), heart condition associated with increased risk of stroke, dementia,
heart failure, and mortality, is the most common cardiac arrhythmia. The problem of …
heart failure, and mortality, is the most common cardiac arrhythmia. The problem of …
Comparative effectiveness of ICA and PCA in extraction of fetal ECG from abdominal signals: Toward non-invasive fetal monitoring
Non-adaptive signal processing methods have been successfully applied to extract fetal
electrocardiograms (fECGs) from maternal abdominal electrocardiograms (aECGs); and …
electrocardiograms (fECGs) from maternal abdominal electrocardiograms (aECGs); and …
Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal …
In this paper, we design time–frequency localized three-band biorthogonal linear phase
wavelet filter bank for epileptic seizure electroencephalograph (EEG) signal classification …
wavelet filter bank for epileptic seizure electroencephalograph (EEG) signal classification …
A comprehensive survey on signal processing and machine learning techniques for non-invasive fetal ECG extraction
JDK Abel, S Dhanalakshmi, R Kumar - Multimedia Tools and Applications, 2023 - Springer
Despite the rapid growth in the area of adult ECG signal processing and monitoring systems,
the morphological analysis of fetal ECG signals lags farther behind and demands much …
the morphological analysis of fetal ECG signals lags farther behind and demands much …
Isolation of fetal ECG signals from abdominal ECG using wavelet analysis
YS Alshebly, M Nafea - Irbm, 2020 - Elsevier
Objective Monitoring the heartbeat of the fetus during pregnancy is a vital part in determining
their health. Current fetal heart monitoring techniques lack the accuracy in fetal heart rate …
their health. Current fetal heart monitoring techniques lack the accuracy in fetal heart rate …
A novel technique for fetal ECG extraction using single-channel abdominal recording
Non-invasive fetal electrocardiograms (FECGs) are an alternative method to standard
means of fetal monitoring which permit long-term continual monitoring. However, in …
means of fetal monitoring which permit long-term continual monitoring. However, in …
Automatic diagnosis of cardiovascular disorders by sub images of the ECG signal using multi-feature extraction methods and randomized neural network
Electrocardiography has been employed successfully in medicine for many years to provide
vital knowledge about the cardiovascular system. Although processing and evaluation of …
vital knowledge about the cardiovascular system. Although processing and evaluation of …