Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Sensors. 21(18)
- Ereignis
-
Veröffentlichung
- (wo)
-
Leipzig
- (wer)
-
Universitätsbibliothek Leipzig
- (wann)
-
2023
- Urheber
-
Schrumpf, Fabian
Frenzel, Patrick
Aust, Christoph
Osterhoff, Georg
Fuchs, Mirco
- URN
-
urn:nbn:de:bsz:15-qucosa2-853820
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Schrumpf, Fabian
- Frenzel, Patrick
- Aust, Christoph
- Osterhoff, Georg
- Fuchs, Mirco
- Universitätsbibliothek Leipzig
Entstanden
- 2023
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