EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms ; volume:2024 ; number:1 ; day:30 ; month:10 ; year:2024 ; pages:1-23 ; date:12.2024
EURASIP journal on advances in signal processing / European Association for Speech, Signal and Image Processing ; 2024, Heft 1 (30.10.2024), 1-23, 12.2024
- Urheber
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Peng, Jianhui
Ran, Ao
Yu, Chenjin
Liu, Huafeng
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13634-024-01187-3
- URN
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urn:nbn:de:101:1-2501192121209.712252625123
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:24 MESZ
Datenpartner
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Beteiligte
- Peng, Jianhui
- Ran, Ao
- Yu, Chenjin
- Liu, Huafeng
- SpringerLink (Online service)
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