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 …
A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
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 …
Efficient-ECGNet framework for COVID-19 classification and correlation prediction with the cardio disease through electrocardiogram medical imaging
In the last 2 years, we have witnessed multiple waves of coronavirus that affected millions of
people around the globe. The proper cure for COVID-19 has not been diagnosed as …
people around the globe. The proper cure for COVID-19 has not been diagnosed as …
Applying Deep Learning Techniques to Extract Diagnostic Information from ECG Images
This work is devoted to the implementation of an algorithm for extracting diagnostic
information from ECG images using deep learning methods. The U-Net neural network …
information from ECG images using deep learning methods. The U-Net neural network …