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Article

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

2020-08-14

Abstract excerpt

The subject of the PhysioNet/Computing in Cardiology Challenge 2020 was the identification of cardiac abnormalities in 12-lead electrocardiogram (ECG) recordings. A total of 66,405 recordings were sourced from hospital systems from four distinct countries and annotated with clinical diagnoses, including 43,101 annotated recordings that were posted publicly. For this Challenge, we asked participants to design worki...

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Literature Corpus work
65f6ab51-6da6-5657-ba44-804a8a2cdfef
DOI
10.1101/2020.08.11.20172601
Open publication

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Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020DOI 10.1101/2020.08.11.20172601
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