X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals

Author:

Nkengue Marc Junior,Zeng Xianyi,Koehl Ludovic,Tao Xuyuan

Funder

National Radio Research Agency

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference50 articles.

1. WHO Coronavirus (COVID-19) Dashboard, 2022. Available from: https://covid19.who.int/.

2. T-wave inversion as a manifestation of COVID-19 infection: a case series;Romero;J. Interv. Card. Electrophysiol.,2020

3. Coronavirus disease (COVID-19) – Symptoms, 2022. Available from: https://www.who.int/health-topics/coronavirus#tab=tab_3.

4. Electrocardiographic manifestations of COVID-19;Long;Am. J. Emerg. Med.,2021

5. The effect of the severity COVID-19 infection on electrocardiography;Barman;Am. J. Emerg. Med.,2021

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