Towards the Prediction of Atrial Fibrillation Using Interpretable ECG Features
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: 2022 Computing in Cardiology (CinC). New York : IEEE - Institut of Electrical and Electronics Engineers, 2022. S. 1-4
- Ereignis
-
Veröffentlichung
- (wo)
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Dresden
- (wer)
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Technische Universität Dresden
- (wann)
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2024
- Urheber
-
Hammer, Alexander
Malberg, Hagen
Schmidt, Martin
- URN
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urn:nbn:de:bsz:14-qucosa2-904919
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 08:59 UTC
Datenpartner
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Beteiligte
- Hammer, Alexander
- Malberg, Hagen
- Schmidt, Martin
- Technische Universität Dresden
Entstanden
- 2024
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