Replication Data for 'A CNN for COVID-19 Detection using ECG signals'

This dataset contains the electrocardiograms (ECGs) collected for the Covidsquared Project. The objectives of Covidsquared were: 1) to develop automatic computational methods for the extraction of COVID-related ECG biomarkers and to estimate the risk of fatal arrhythmic events in COVID patients, including those induced by pharmacological treatments; 2) to create a "cloud" infrastructure for sharing ECG data collected by clinical centres; the objectives will be achieved through the development of innovative data analysis tools integrated into a cloud-based data sharing service. ECGs are stored in the Waveform Database Software (WFDB) format described on Physionet.org [1]. Files can be easily opened in Matlab or python through the sample codes provided. Acknowledgements The Covidsquared project, FISR2020IP_01990, was funded under the call FISR 2020 COVID, MUR (Ministry of Education, Universities and Research), Italy [1] https://physionet.org/about/software/