Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/80015
DC FieldValueLanguage
dc.contributor.authorAlmeida, Vânia G.-
dc.contributor.authorVieira, João-
dc.contributor.authorSantos, Pedro-
dc.contributor.authorPereira, Tânia-
dc.contributor.authorPereira, H. Catarina-
dc.contributor.authorCorreia, Carlos-
dc.contributor.authorPego, Mariano-
dc.contributor.authorCardoso, João-
dc.date.accessioned2018-07-05T16:31:59Z-
dc.date.available2018-07-05T16:31:59Z-
dc.date.issued2013-05-02-
dc.identifier.urihttps://hdl.handle.net/10316/80015-
dc.language.isoengpt
dc.rightsopenAccesspt
dc.titleMachine learning techniques for arterial pressure waveform analysispt
dc.typearticlept
dc.peerreviewedyespt
dc.identifier.doi10.3390/jpm3020082-
dc.date.embargo2013-05-02*
dc.date.periodoembargo0pt
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.languageiso639-1en-
crisitem.author.researchunitLIP – Laboratory of Instrumentation and Experimental Particle Physics-
crisitem.author.orcid0000-0002-1423-3038-
crisitem.author.orcid0000-0002-8832-8208-
Appears in Collections:LIBPhys - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
jpm-03-00082.pdf962.79 kBAdobe PDFView/Open
Show simple item record

SCOPUSTM   
Citations

12
checked on Nov 11, 2022

WEB OF SCIENCETM
Citations 10

13
checked on May 2, 2023

Page view(s)

319
checked on Apr 23, 2024

Download(s)

263
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.