For this year’s Challenge, please cite:
Perez Alday EA, Gu A, Shah AJ, Robichaux C, Wong AI, Liu C, Liu F, Rad AB, Elola A, Seyedi S, Li Q, Sharma A, Clifford GD*, Reyna MA*. Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiol Meas. 2020 Nov 11. doi: 10.1088/1361-6579/abc960
Reyna MA, Sadr N, Perez Alday EA, Gu A, Shah AJ, Robichaux C, Rad AB, Elola A, Seyedi S, Ansari S, Ghanbari H, Li Q, Sharma A, Clifford GD. Will Two Do? Varying Dimensions in Electrocardiography: the PhysioNet/Computing in Cardiology Challenge 2021. Computing in Cardiology 2021; 48: 1-4
The above CinC paper is a draft. We will update it after CinC to include information about the conclusion of the Challenge.
Please follow the preparation and submission instructions for your CinC papers.
We have prepared templates to help you prepare your CinC papers. Please use the LaTeX template (Overleaf or download) or the Word template. These templates include important instructions, advice, and references.
Please read these instructions and one of the templates. Each year, we need to provide feedback for many teams that miss some of the paper requirements, and each year, some papers are unfortunately rejected because the teams were unable to address important issues.
The Physiological Measurement Focus Collection: Classification of Multilead ECGs includes the above paper.
Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant R01EB030362.