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AF Classification from a Short Single Lead ECG Recording: the PhysioNet/Computing in Cardiology Challenge 2017.
Clifford, Gari D; Liu, Chengyu; Moody, Benjamin; Lehman, Li-Wei H; Silva, Ikaro; Li, Qiao; Johnson, A E; Mark, Roger G.
Afiliação
  • Clifford GD; Department of Biomedical Informatics, Emory University, Atlanta, USA.
  • Liu C; Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, USA.
  • Moody B; Department of Biomedical Informatics, Emory University, Atlanta, USA.
  • Lehman LH; School of Instrument Science and Engineering, Southeast University, Nanjing, China.
  • Silva I; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, USA.
  • Li Q; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, USA.
  • Johnson AE; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, USA.
  • Mark RG; Department of Biomedical Informatics, Emory University, Atlanta, USA.
Article em En | MEDLINE | ID: mdl-29862307

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Cardiol (2010) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Cardiol (2010) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos