AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017

The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise, normal or other rhythms in short term (from 9–61 s) ECG recordings performed by patients. A total of 12,186 ECGs were used: 8,528 in the public training set and 3,658 in the private hidden test set....

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Detaylı Bibliyografya
Yayımlandı:Comput Cardiol (2010)
Asıl Yazarlar: Clifford, Gari D, Liu, Chengyu, Moody, Benjamin, Lehman, Li-wei H., Silva, Ikaro, Li, Qiao, Johnson, A E, Mark, Roger G.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2018
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5978770/
https://ncbi.nlm.nih.gov/pubmed/29862307
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