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Classification of COVID-19 electrocardiograms by using hexaxial feature map** and deep learning
Abstract Background Coronavirus disease 2019 (COVID-19) has become a pandemic since
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
The reliable and rapid identification of the COVID-19 has become crucial to prevent the
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
Reliable detection of myocardial ischemia using machine learning based on temporal-spatial characteristics of electrocardiogram and vectorcardiogram
Background: Myocardial ischemia is a common early symptom of cardiovascular disease
(CVD). Reliable detection of myocardial ischemia using computer-aided analysis of …
(CVD). Reliable detection of myocardial ischemia using computer-aided analysis of …
Artificial intelligence based approach for categorization of COVID-19 ECG images in presence of other cardiovascular disorders
Abstract Coronavirus disease (COVID-19) is a class of SARS-CoV-2 virus which is initially
identified in the later half of the year 2019 and then evolved as a pandemic. If it is not …
identified in the later half of the year 2019 and then evolved as a pandemic. If it is not …
Present results and methods of vectorcardiographic diagnostics of ischemic heart disease
This article presents an overview of existing approaches to perform vectorcardiographic
(VCG) diagnostics of ischemic heart disease (IHD). Individual methodologies are divided …
(VCG) diagnostics of ischemic heart disease (IHD). Individual methodologies are divided …
A multi-lead group network for myocardial infarction detection and localization based on clinical knowledge-driven and dynamic-static feature fusion
Q Sun, J Li, C Liang, R Liu, J Pang, Y Chen… - Expert Systems with …, 2025 - Elsevier
Myocardial infarction (MI) refers to the irreversible damage of the heart muscle caused by
prolonged oxygen deprivation, typically resulting from acute coronary artery occlusion …
prolonged oxygen deprivation, typically resulting from acute coronary artery occlusion …
ECG localization method based on volume conductor model and Kalman filtering
The 12-lead electrocardiogram was invented more than 100 years ago and is still used as
an essential tool in the early detection of heart disease. By estimating the time-varying …
an essential tool in the early detection of heart disease. By estimating the time-varying …
[HTML][HTML] Development and Characterization of Novel Conductive Sensing Fibers for In Vivo Nerve Stimulation
Advancements in electrode technologies to both stimulate and record the central nervous
system's electrical activities are enabling significant improvements in both the understanding …
system's electrical activities are enabling significant improvements in both the understanding …
Effective Delineation of ECG Signals for Operative Neural Disease Recognition and Classification
A Dhawan - 2023 1st International Conference on Innovations …, 2023 - ieeexplore.ieee.org
It is expected that cardiovascular disease will be the maj or cause of death worldwide. When
it comes to heart disease and strokes, CAD (coronary artery disease), also known as …
it comes to heart disease and strokes, CAD (coronary artery disease), also known as …
Low-density lipoprotein (LDL) influences the immunomodulatory response of endothelial cells through promyelocytic leukemia protein (PML) activation
K Roos - 2023 - refubium.fu-berlin.de
Atherosclerosis and Alzheimer's disease are wide-spread diseases with rising prevalence.
Therefore it is important to uncover more about the diseases themselves and thus …
Therefore it is important to uncover more about the diseases themselves and thus …