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Real-Time Subject-Specific Predictive Modeling of PPG Signals for Artifact-Resilient SpO2 Estimation Under Hypoxia
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In
Advances in Wearable Photoplethysmography Applications in Health Monitoring: 2nd Edition / Special Issue Editors: Dr. Mimma Nardelli, Prof. Dr. Raquel Bailón
In
Sensors 25(23), Seiten/Artikel-Nr.:7176
2025
Online
DOI: 10.3390/s25237176
DOI: 10.18154/RWTH-2025-10610
URL: https://publications.rwth-aachen.de/record/1023320/files/1023320.pdf
Einrichtungen
Projekte
Thematische Einordnung (Klassifikation)
DDC: 620
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105024641374
WOS Core Collection: WOS:001635373300001
PubMed: pmid:41374551
Interne Identnummern
RWTH-2025-10610
Datensatz-ID: 1023320
Beteiligte Länder
Czech Republic, Germany, India
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; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| APC | 1952.73 | 371.02 | EUR | 100.00 % | (Zahlung erfolgt) | 021000-611010 |
| Sum | 1952.73 | 371.02 | EUR | |||
| Total | 2323.75 |
PDF