Deep learning-based ECG arrhythmia classification: A systematic review
Deep learning (DL) has been introduced in automatic heart-abnormality classification using
ECG signals, while its application in practical medical procedures is limited. A systematic …
ECG signals, while its application in practical medical procedures is limited. A systematic …
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
An electrocardiogram (ECG) is one of the most promising approaches used for the detection
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
X Yan, D Jiang, L Xiang, Y Xu, Y Wang - Information Fusion, 2024 - Elsevier
When the machinery device operates abnormally, it is not sufficient for fault detection only
via extracting fault features from a single sensor due to the latent fault information may be …
via extracting fault features from a single sensor due to the latent fault information may be …
A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge …
M Sepahvand, F Abdali-Mohammadi - Information Sciences, 2022 - Elsevier
Deep learning models developed through multi-lead electrocardiogram (ECG) signals are
considered the leading methods for the automated detection of arrhythmia on computer …
considered the leading methods for the automated detection of arrhythmia on computer …
Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals
Cardiac disease is the leading cause of death in the US. Accurate heart disease detection is
critical to timely medical treatment to save patients' lives. Routine use of the …
critical to timely medical treatment to save patients' lives. Routine use of the …
Automated ECG multi-class classification system based on combining deep learning features with HRV and ECG measures
AS Eltrass, MB Tayel, AI Ammar - Neural Computing and Applications, 2022 - Springer
Electrocardiogram (ECG) serves as the gold standard for noninvasive diagnosis of several
types of heart disorders. In this study, a novel hybrid approach of deep neural network …
types of heart disorders. In this study, a novel hybrid approach of deep neural network …
A deep learning approach for atrial fibrillation classification using multi-feature time series data from ecg and ppg
Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
Background and objective Arrhythmia constitute a common clinical problem in cardiology.
The diagnosis is often made using electrocardiographic (ECG) signals but manual ECG …
The diagnosis is often made using electrocardiographic (ECG) signals but manual ECG …
[HTML][HTML] Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
Electrocardiogram (ECG) are the physiological signals and a standard test to measure the
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …
heart's electrical activity that depicts the movement of cardiac muscles. A review study has …