Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/27646
Full metadata record
DC FieldValueLanguage
dc.contributor.authorOliveira, Anapt_PT
dc.contributor.authorSen, Ipekpt_PT
dc.contributor.authorKahya, Yaseminpt_PT
dc.contributor.authorMarques, Aldapt_PT
dc.date.accessioned2020-02-26T11:05:18Z-
dc.date.available2020-02-26T11:05:18Z-
dc.date.issued2016-09-01-
dc.identifier.issn0903-1936-
dc.identifier.urihttp://hdl.handle.net/10773/27646-
dc.description.abstractSem resumo disponívelpt_PT
dc.language.isoengpt_PT
dc.publisherEuropean Respiratory Societypt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleComputerised respiratory sounds can differentiate smokers from non-smokerspt_PT
dc.typeconferenceObjectpt_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPagePA4435pt_PT
degois.publication.issueSuppl. 60pt_PT
degois.publication.titleEuropean Respiratory Society International Congress 2016 - European Respiratory Journalpt_PT
degois.publication.volume48pt_PT
dc.identifier.doi10.1183/13993003.congress-2016.PA4435pt_PT
dc.identifier.essn1399-3003-
Appears in Collections:Lab3R - Comunicações

Files in This Item:
File Description SizeFormat 
2016_Oliveira_Computerised respiratory sounds can.pdf391.66 kBAdobe PDFView/Open


FacebookTwitterLinkedIn
Formato BibTex MendeleyEndnote Degois 

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