Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022

Citations

For this year’s Challenge, please cite the Challenge description paper:

Reyna MA, Kiarashi Y, Elola A, Oliveira J, Renna F, Gu A, Perez Alday EA, Sadr N, Sharma A, Kpodonu J, Mattos S, Coimbra MT, Sameni R, Rad AB, Clifford GD. “Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022.” PLOS Digital Health. 2023 Sep 11;2(9): e0000324. doi: 10.1371/journal.pdig.0000324. PMID: 37695769.

For this year’s Challenge, please cite the CirCor DigiScope Dataset publication:

Oliveira J, Renna F, Costa PD, Nogueira M, Oliveira C, Ferreira C, Jorge A, Mattos S, Hatem T, Tavares T, Elola A, Rad AB, Sameni R, Clifford GD, Coimbra MT. The CirCor DigiScope dataset: from murmur detection to murmur classification. IEEE J Biomed Health Inform. 2022 Jun;26(6):2524-2535. doi:10.1109/JBHI.2021.3137048. PMID: 34932490.

Additionally, please include the standard citation for PhysioNet:

Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation. 2000 Jun 13;101(23):E215-E220. doi:10.1161/01.CIR.101.23.e215. PMID: 10851218.

Templates

Please follow the preparation and submission instructions for your CinC paper, and please review the Challenge-specific checklist before submitting your CinC paper.

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 read 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.

Conference Papers

The conference papers for Computing in Cardiology 2022 will be available on the CinC and IEEE websites.

Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.

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