Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
HV Denysyuk, RJ Pinto, PM Silva, RP Duarte… - Heliyon, 2023 - cell.com
The prevalence of cardiovascular diseases is increasing around the world. However, the
technology is evolving and can be monitored with low-cost sensors anywhere at any time …
technology is evolving and can be monitored with low-cost sensors anywhere at any time …
Global ECG classification by self-operational neural networks with feature injection
MU Zahid, S Kiranyaz… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Global (inter-patient) ECG classification for arrhythmia detection over
Electrocardiogram (ECG) signal is a challenging task for both humans and machines …
Electrocardiogram (ECG) signal is a challenging task for both humans and machines …
CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals
S Tang, Z Deng - Physiological Measurement, 2023 - iopscience.iop.org
Objective. Although deep learning-based current methods have achieved impressive results
in electrocardiograph (ECG) arrhythmia classification issues, they rely on using the original …
in electrocardiograph (ECG) arrhythmia classification issues, they rely on using the original …
A Novel Hybrid Model Based on Convolutional Neural Network With Particle Swarm Optimization Algorithm for Classification of Cardiac Arrhythmias
An electrocardiogram (ECG) is a non-invasive study used for the diagnosis of cardiac
arrhythmias (CAs). The identification of a cardiac arrhythmia depends on its classification …
arrhythmias (CAs). The identification of a cardiac arrhythmia depends on its classification …
ECG beat classification using machine learning and pre-trained convolutional neural networks
ND Gai - arXiv preprint arXiv:2207.06408, 2022 - arxiv.org
The electrocardiogram (ECG) is routinely used in hospitals to analyze cardiovascular status
and health of an individual. Abnormal heart rhythms can be a precursor to more serious …
and health of an individual. Abnormal heart rhythms can be a precursor to more serious …
[HTML][HTML] Modified parametric-based AlexNet structure to classify ECG signals for cardiovascular diseases
Patients with cardiovascular disease typically need constant monitoring, and this is made
possible by analyzing their electrocardiogram (ECG) signals to determine the specific …
possible by analyzing their electrocardiogram (ECG) signals to determine the specific …
The deep convolutional networks for the classification of multi-class arrhythmia
An arrhythmia is an irregular heartbeat. Many researchers in the AI field have carried out the
automatic classification of arrhythmias, and the issue that has been widely discussed is …
automatic classification of arrhythmias, and the issue that has been widely discussed is …
DeepECG: Building an Efficient Framework for Automatic Arrhythmia classification model
DS AbdElminaam, AG Fahmy, YM Ali… - 2022 2nd …, 2022 - ieeexplore.ieee.org
ECG analysis is useful for determining heart health. As a result, cardiovascular disorders
require the identification and classification of ECG signals. Not only is early prevention …
require the identification and classification of ECG signals. Not only is early prevention …
Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals
Objectives Cardiac arrhythmia is one of the most severe cardiovascular diseases that can be
fatal. Therefore, its early detection is critical. However, detecting types of arrhythmia by …
fatal. Therefore, its early detection is critical. However, detecting types of arrhythmia by …
Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification
T Subba, T Chingtham - IEEE Access, 2024 - ieeexplore.ieee.org
Electrocardiogram is a heartbeat signal that can be used for the application of Human-
computer interaction. Electrocardiography (ECG) is a prominent way to analyze heart rate …
computer interaction. Electrocardiography (ECG) is a prominent way to analyze heart rate …