AttentionCovidNet: Efficient ECG-based diagnosis of COVID-19
The novel coronavirus caused a worldwide pandemic. Rapid detection of COVID-19 can
help reduce the spread of the novel coronavirus as well as the burden on healthcare …
help reduce the spread of the novel coronavirus as well as the burden on healthcare …
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection
The early and accurate detection of COVID-19 is vital nowadays to avoid the vast and rapid
spread of this virus and ease lockdown restrictions. As a result, researchers developed …
spread of this virus and ease lockdown restrictions. As a result, researchers developed …
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 …
ECG-CCNet: Cardiovascular (Cardiac) and COVID‑19 Disease Classification Using Deep Convolutional Neural Network Learning Pipeline Approaches From …
YH Bhosale, KS Patnaik - 2022 IEEE Silchar Subsection …, 2022 - ieeexplore.ieee.org
Experimental studies demonstrate that COVID-19 illness affects the cardiovascular as well
as the pulmonary/lung tract. The limits of existing COVID-19 diagnostic procedures have …
as the pulmonary/lung tract. The limits of existing COVID-19 diagnostic procedures have …
An intelligent ECG-based tool for diagnosing COVID-19 via ensemble deep learning techniques
O Attallah - Biosensors, 2022 - mdpi.com
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …
lockdown restrictions, and decrease the workload on healthcare structures. The present …
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning
MA Ozdemir, GD Ozdemir, O Guren - BMC medical informatics and …, 2021 - Springer
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 …
[HTML][HTML] X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals
Wearable systems measuring human physiological indicators with integrated sensors and
supervised learning-based medical image analysis (eg ECG, X-ray, CT or ultrasound …
supervised learning-based medical image analysis (eg ECG, X-ray, CT or ultrasound …
COVID-19 electrocardiograms classification using CNN models
With the periodic rise and fall of COVID-19 and numerous countries being affected by its
ramifications, there has been a tremendous amount of work that has been done by …
ramifications, there has been a tremendous amount of work that has been done by …
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection
Background The world has been suffering from the COVID-19 pandemic since 2019. More
than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be …
than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be …
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 …