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dc.contributorMühendislik Fakültesi / Faculty of Engineering Bilgisayar Mühendisliği / Computer Engineeringtr_TR
dc.contributor.authorPatlar Akbulut, Fatma
dc.contributor.authorAkan, Aydın
dc.date.accessioned2018-11-20T08:56:44Z
dc.date.available2018-11-20T08:56:44Z
dc.date.issued2018-11
dc.identifier.issn0263-2241
dc.identifier.other1873-412X
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2018.06.050
dc.identifier.urihttps://hdl.handle.net/11413/3443
dc.description.abstractRecent innovative treatment and diagnostic methods developed for heart and circulatory system disorders do not provide the desired results as they are not supported by long-term patient follow-up. Continuous medical support in a clinic or hospital is often not feasible in elderly or aging populations; yet, collecting medical data is still required to maintain a high-quality of life. In this study, a smart wearable system design called Cardiovascular Disease Monitoring (CVDiMo), which provides continuous medical monitoring and creates a health profile with the risk of disease over time. Systematic tests were performed with analysis of six different biosignals from two different test groups with 30 participants. In addition to examining the biosignals of patients, using the physical activity results and stress levels deduced from the emotional state analysis achieved a higher performance in risk estimation. In our experiments, the highest accuracy of determining the short-term health status was obtained as 96%.
dc.language.isoen_UStr_TR
dc.publisherElsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1Gb, Oxon, Englandtr_TR
dc.relationMeasurementtr_TR
dc.subjectSmart wearable systemtr_TR
dc.subjectCardiovascular Disease Monitoringtr_TR
dc.subjectHealthcaretr_TR
dc.subjectSignal processingtr_TR
dc.subjectMachine learningtr_TR
dc.subjectAffective computingtr_TR
dc.subjectECG MONITORING-SYSTEMtr_TR
dc.subjectHEALTH-CAREtr_TR
dc.subjectHEART-RATEtr_TR
dc.subjectSCIENTIFIC STATEMENTtr_TR
dc.subjectDIAGNOSIStr_TR
dc.subjectPLATFORMtr_TR
dc.subjectSENSORStr_TR
dc.subjectCLOUDtr_TR
dc.titleA smart wearable system for short-term cardiovascular risk assessment with emotional dynamicstr_TR
dc.typeArticletr_TR
dc.contributor.authorID2918
dc.identifier.wos440449800025
dc.identifier.scopus2-s2.0-85049312252


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