Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23643
DC FieldValueLanguage
dc.contributor.authorKyriacou, Efthyvoulos C.-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorKaraolis, Minas A.-
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorChristodoulou, Christodoulos-
dc.contributor.authorPattichis, Marios S.-
dc.contributor.authorKakkos, Stavros K.-
dc.contributor.authorNicolaides, Andrew N.-
dc.date.accessioned2021-11-15T12:00:14Z-
dc.date.available2021-11-15T12:00:14Z-
dc.date.issued2007-10-
dc.identifier.citationIEEE Engineering in Medicine and Biology Magazine, 2007, vol. 26, no. 5, pp. 43-50en_US
dc.identifier.issn19374186-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23643-
dc.description.abstractThe objective of this article is to present an integrated system for the assessment of risk of stroke based on two modules: 1) clinical risk factors and noninvasive investigations, and 2) carotid plaque texture analysis. The system supports the data collected from the Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) natural history study that includes following data: 1) clinical, biochemical, and electrocardiographic risk factors associated with cardiovascular deaths, and 2) whether any independent risk factors can be used to identify a high-risk group for cardiovascular death. Furthermore, the carotid plaque texture analysis module supports the normalization, despeckling, segmentation, texture feature extraction, and classification of ultrasound plaque images.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Engineering in Medicine and Biology Magazineen_US
dc.rights© IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRisk analysisen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectKnowledge representationen_US
dc.subjectΙntegrated systemen_US
dc.subjectMyocardiumen_US
dc.subjectClinical risk factorsen_US
dc.subjectNoninvasive investigationsen_US
dc.subjectCarotid plaque texture analysisen_US
dc.titleAn integrated system for assessing stroke risken_US
dc.typeArticleen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationUniversity of New Mexicoen_US
dc.subject.categoryMedical Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/EMB.2007.901794en_US
dc.identifier.pmid17941322-
dc.identifier.scopus2-s2.0-34748892300-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/34748892300-
dc.relation.issue5en_US
dc.relation.volume26en_US
cut.common.academicyear2007-2008en_US
dc.identifier.spage43en_US
dc.identifier.epage50en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1937-4186-
crisitem.journal.publisherIEEE-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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