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CBView: Merging Data in Metabolic Diagnosis

2018Journal article Open access
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dc.contributor.authorCorreia-Brito, Gabriel
dc.contributor.authorFonseca-Pinto, Rui
dc.contributor.authorGuarino, Maria Pedro
dc.contributor.authorLajes, Marlene
dc.contributor.authorVieira Lopes, Nuno
dc.date.accessioned2025-07-10T14:22:36Z
dc.date.available2025-07-10T14:22:36Z
dc.date.issued2018
dc.description.abstractThe metabolic syndrome is a set of risk factors associated with increased cardiovascular risk. These changes to the standard metabolic functions are associated with increased blood insulin and with insulin resistance, which is the common feature of disease pathophysiology. Although with admissible genetic inheritance, the metabolic syndrome symptoms increase with age, sedentarism, weight gain, tobacco, and poor dietetic habits. Due to their characteristics, clinical manifestations of metabolic diseases are perceived by the patient at advanced stages of metabolic dysfunction, when the risk of an acute cardiovascular event is high. Early detection of disturbed glucose homeostatic mechanisms, by recording efferent responses to stimuli like meal ingestion, is, therefore, a methodology with diagnostic potential acting as a predictive measure of metabolic dysfunction. This work presents a novel software (CBView) that analyses the records of physiological responses mediated by the carotid bodies to provocation tests, obtained by a new medical device (CBMeter) aiming to the early tracking of changes in autonomic responses that control metabolism, and thus providing quantitative metrics to assess metabolic dysfunction.eng
dc.identifier.citationGabriel Correia Brito, Rui Fonseca-Pinto, Maria P. Guarino, Marlene Lajes, Nuno Vieira Lopes, CBView: Merging Data in Metabolic Diagnosis, Procedia Computer Science, Volume 138, 2018, Pages 244-249, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2018.10.035.
dc.identifier.doi10.1016/j.procs.2018.10.035
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/13600
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relationFCT/SAICT-POL/23278/2016
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050918316685
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectClinical Software
dc.subjectHealth Monitoring
dc.subjectClinical Decision Support Systems
dc.subjectMetabolic Diseases
dc.titleCBView: Merging Data in Metabolic Diagnosiseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage249
oaire.citation.startPage244
oaire.citation.titleProcedia Computer Science
oaire.citation.volume138
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCorreia-Brito
person.familyNameFonseca-Pinto
person.familyNameGuarino
person.familyNameVieira Lopes
person.givenNameGabriel
person.givenNameRui
person.givenNameMaria Pedro
person.givenNameNuno
person.identifier.ciencia-id681D-C547-B184
person.identifier.ciencia-idF21A-BD01-2D52
person.identifier.ciencia-idE117-67AC-0B45
person.identifier.orcid0000-0001-5077-4520
person.identifier.orcid0000-0001-6774-5363
person.identifier.orcid0000-0001-6079-1105
person.identifier.orcid0000-0002-2232-1839
person.identifier.ridK-9449-2014
person.identifier.ridB-5594-2015
person.identifier.scopus-author-id57206777195
person.identifier.scopus-author-id26039086400
person.identifier.scopus-author-id56348477000
person.identifier.scopus-author-id26031536700
relation.isAuthorOfPublication07c7bc76-bbd0-4335-9ebf-3a29545caa10
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relation.isAuthorOfPublication.latestForDiscovery07c7bc76-bbd0-4335-9ebf-3a29545caa10

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