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Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study.
Nissen, Michael; Slim, Syrine; Jäger, Katharina; Flaucher, Madeleine; Huebner, Hanna; Danzberger, Nina; Fasching, Peter A; Beckmann, Matthias W; Gradl, Stefan; Eskofier, Bjoern M.
Afiliación
  • Nissen M; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Slim S; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Jäger K; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Flaucher M; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Huebner H; Department of Gynecology and Obstetrics, Erlangen University Hospital, Erlangen, Germany.
  • Danzberger N; Department of Gynecology and Obstetrics, Erlangen University Hospital, Erlangen, Germany.
  • Fasching PA; Department of Gynecology and Obstetrics, Erlangen University Hospital, Erlangen, Germany.
  • Beckmann MW; Department of Gynecology and Obstetrics, Erlangen University Hospital, Erlangen, Germany.
  • Gradl S; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
  • Eskofier BM; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
JMIR Form Res ; 6(3): e33635, 2022 Mar 01.
Article en En | MEDLINE | ID: mdl-35230250

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: JMIR Form Res Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: JMIR Form Res Año: 2022 Tipo del documento: Article