h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients

; ; ; ; ; ; ; ; ;

In
Special Issue "Sensors and Methods for the Measurement of Cardiovascular and Respiratory Systems" / Special Issue Editors: Dr. Antti Vehkaoja, Guest Editor; Dr. Jari Viik, Guest Editor

In
Sensors 21(4), Seiten/Artikel-Nr.:1495

ImpressumBasel : MDPI

Umfang1-18

ISSN1424-8220

Online
DOI: 10.3390/s21041495

DOI: 10.18154/RWTH-2021-12023
URL: https://publications.rwth-aachen.de/record/837437/files/837437.pdf

Einrichtungen

  1. Lehrstuhl für Medizinische Informationstechnik (611010)
  2. Helmholtz-Institut für Biomedizinische Technik (029000)


Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
Download fulltext PDF

Dokumenttyp
Journal Article/Contribution to a book

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:000624670400001
SCOPUS: SCOPUS:2-s2.0-85101226002

Interne Identnummern
RWTH-2021-12023
Datensatz-ID: 837437

Beteiligte Länder
Australia, Germany, UK

Lizenzstatus der Zeitschrift

 GO


Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

QR Code for this record

The record appears in these collections:
Document types > Books > Contributions to a book
Document types > Articles > Journal Articles
Faculty of Electrical Engineering and Information Technology (Fac.6)
Publication server / Open Access
Central and Other Institutions
Public records
Publications database
611010
029000

 Record created 2021-12-21, last modified 2025-10-13


OpenAccess:
Download fulltext PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)