Detection of acute myocardial ischemia based on support vector machines

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.contributor.authorTerzi, Merve Begümen_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialIzmir, Turkeyen_US
dc.date.accessioned2019-02-21T16:05:11Z
dc.date.available2019-02-21T16:05:11Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 2-5 May 2018en_US
dc.description.abstractIn patients with acute myocardial ischemia, chest pains together with changes in ST/T sections of ECG signal occur before the start of myocardial infarction. In this study, in order to diagnose acute myocardial ischemia, a technique which automatically detects changes in ST/T sections of ECG is developed. For this purpose, by using ECG recordings of STAFF III database, ECG features that are critical in the detection of acute myocardial ischemia are identified. By using support vector machines (SVM) operating with linear and radial basis function (RBF) kernels, classifiers that use two and four most discriminating features of ST/T sections of ECG signal are designed. As a result of implementing the developed technique on ECG recordings of STAFF III database, obtained results over a considerable number of patients indicate that the proposed technique provides highly reliable detection of acute myocardial ischemia. Therefore, by using the developed technique, early and accurate diagnosis of acute myocardial ischemia can be performed, which can lead to a significant decrease in morbidity and mortality rates.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:05:11Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1109/SIU.2018.8404733
dc.identifier.isbn9781538615010
dc.identifier.urihttp://hdl.handle.net/11693/50237
dc.language.isoTurkish
dc.publisherIEEE
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2018.8404733
dc.source.title2018 26th Signal Processing and Communications Applications Conference (SIU)en_US
dc.subjectAcute myocardial ischemiaen_US
dc.subjectECGen_US
dc.subjectFeature extractionen_US
dc.subjectKernel functionsen_US
dc.subjectSupport vector machinesen_US
dc.titleDetection of acute myocardial ischemia based on support vector machinesen_US
dc.title.alternativeAkut miyokard iskemisinin destek vektör makinelerine dayalı tespitien_US
dc.typeConference Paperen_US

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