S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification ; day:8 ; month:2 ; year:2024 ; pages:1-12
Cardiovascular engineering and technology ; (8.2.2024), 1-12

Creator
Huang, Zhaojing
Herbozo Contreras, Luis Fernando
Yu, Leping
Truong, Nhan Duy
Nikpour, Armin
Kavehei, Omid
Contributor
SpringerLink (Online service)

DOI
10.1007/s13239-024-00716-3
URN
urn:nbn:de:101:1-2404170741561.460102723858
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:45 AM CEST

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Associated

  • Huang, Zhaojing
  • Herbozo Contreras, Luis Fernando
  • Yu, Leping
  • Truong, Nhan Duy
  • Nikpour, Armin
  • Kavehei, Omid
  • SpringerLink (Online service)

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