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Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence.
Hennings, Elisa; Coslovsky, Michael; Paladini, Rebecca E; Aeschbacher, Stefanie; Knecht, Sven; Schlageter, Vincent; Krisai, Philipp; Badertscher, Patrick; Sticherling, Christian; Osswald, Stefan; Kühne, Michael; Zuern, Christine S.
Afiliação
  • Hennings E; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Coslovsky M; Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Paladini RE; Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Aeschbacher S; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Knecht S; Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Schlageter V; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Krisai P; Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Badertscher P; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Sticherling C; Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Osswald S; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Kühne M; Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
  • Zuern CS; Cardiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Cardiovasc Digit Health J ; 4(2): 41-47, 2023 Apr.
Article em En | MEDLINE | ID: mdl-37101946

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline / Observational_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article