[HTML][HTML] Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach
L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …
time cardiovascular disease monitoring based on wearable medical devices may effectively …
[HTML][HTML] 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] 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 …
Deep learning-based detection of COVID-19 using wearables data
Background COVID-19 is an infectious disease caused by SARS-CoV-2 that is primarily
diagnosed using laboratory tests, which are frequently not administered until after symptom …
diagnosed using laboratory tests, which are frequently not administered until after symptom …
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 …
[HTML][HTML] Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
[HTML][HTML] End-to-end deep learning framework for coronavirus (COVID-19) detection and monitoring
Coronavirus (COVID-19) is a new virus of viral pneumonia. It can outbreak in the world
through person-to-person transmission. Although several medical companies provide …
through person-to-person transmission. Although several medical companies provide …
ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects
A Agrawal, A Chauhan, MK Shetty, MD Gupta… - Computers in Biology …, 2022 - Elsevier
Objective Studies showed that many COVID-19 survivors develop sub-clinical to clinical
heart damage, even if subjects did not have underlying heart disease before COVID. Since …
heart damage, even if subjects did not have underlying heart disease before COVID. Since …
[HTML][HTML] COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model
E Irmak - Physical and Engineering Sciences in Medicine, 2022 - Springer
Clinical reports show that COVID-19 disease has impacts on the cardiovascular system in
addition to the respiratory system. Available COVID-19 diagnostic methods have been …
addition to the respiratory system. Available COVID-19 diagnostic methods have been …
An IoT-based deep learning framework for early assessment of COVID-19
Advancement in the Internet of Medical Things (IoMT), along with machine learning, deep
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …
learning, and artificial intelligence techniques, initiated a world of possibilities in healthcare …