Covidsquared Dataset

Version 3.0
Rivolta, Massimo Walter; Sassi, Roberto; Garcia-Isla, Guadalupe; Corino, Valentina; Sanzo, Antonio; Vicentini, Alessandro; Badilini, Fabio; Mainardi, Luca, 2023, "Covidsquared Dataset", https://doi.org/10.13130/RD_UNIMI/U3WU1R, UNIMI Dataverse, V3, UNF:6:JLEwohax74rNCbObixJimw== [fileUNF]
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Description
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/
Subject Computer and Information Science; Medicine, Health and Life Sciences
Keyword covid-19, electrocardiogram
Related Publication F. M. Muscato, V. D. A. Corino, M. W. Rivolta, P. Cerveri, A. Sanzo, A. Vicentini, R. Sassi, L. T. Mainardi, "A CNN for COVID-19 Detection using ECG signals", Comput Cardiol, vol. 49, pp. 1-4, 2022 doi: 10.22489/CinC.2022.196
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