Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals
- 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
-
Continuous blood pressure prediction system using Conv-LSTM network on hybrid latent features of photoplethysmogram (PPG) and electrocardiogram (ECG) signals ; volume:14 ; number:1 ; day:16 ; month:7 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (16.7.2024), 1-11, 12.2024
- Urheber
-
Kamanditya, Bharindra
Fuadah, Yunendah Nur
Mahardika T., Nurul Qashri
Lim, Ki Moo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
-
10.1038/s41598-024-66514-y
- URN
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urn:nbn:de:101:1-2410091007418.000701978330
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Kamanditya, Bharindra
- Fuadah, Yunendah Nur
- Mahardika T., Nurul Qashri
- Lim, Ki Moo
- SpringerLink (Online service)
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