Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8872
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dc.contributor.authorSimjanoska, Monikaen_US
dc.contributor.authorKoteska, Bojanaen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.contributor.authorAckovska, Nevenaen_US
dc.contributor.authorTrajkovikj, Vladimiren_US
dc.contributor.authorKostoska, Magdalenaen_US
dc.date.accessioned2020-09-04T13:55:49Z-
dc.date.available2020-09-04T13:55:49Z-
dc.date.issued2018-04-23-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/8872-
dc.publisherIOS Pressen_US
dc.relation.ispartofTechnology and Health Careen_US
dc.titleAutomated triage parameters estimation from ECGen_US
dc.identifier.doi10.3233/thc-171166-
dc.identifier.urlhttps://content.iospress.com/download?id=10.3233/THC-171166-
dc.identifier.volume26-
dc.identifier.issue2-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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