Akut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısı

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage4en_US
dc.citation.spage1en_US
dc.contributor.authorTerzi, M. Begümen_US
dc.contributor.authorArıkan, Orhanen_US
dc.contributor.authorAbacı, A.en_US
dc.contributor.authorCandemir, M.en_US
dc.contributor.authorDedoğlu, Mehmeten_US
dc.coverage.spatialIstanbul, Turkey
dc.date.accessioned2016-02-08T11:56:06Z
dc.date.available2016-02-08T11:56:06Z
dc.date.issued2014-10en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 16-17 Oct. 2014
dc.descriptionConference name: 18th National Biomedical Engineering Meeting, 2014
dc.description.abstractIn patients with acute coronary syndrome, temporary chest pains together with changes in ECG ST segment and T wave occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes early, a new technique which detects changes in ECG ST/T sections is developed. As a result of implementing the developed technique to real ECG recordings, it is shown that the proposed technique provides reliable detections. Therefore, the developed technique is expected to provide early diagnosis of acute coronary syndromes which will lead to a significant decrease in heart failure and mortality rates. © 2014 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:56:06Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1109/BIYOMUT.2014.7026388en_US
dc.identifier.urihttp://hdl.handle.net/11693/27543
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/BIYOMUT.2014.7026388en_US
dc.source.title18th National Biomedical Engineering Meeting, BIYOMUT 2014en_US
dc.subjectAcute coronary syndromeen_US
dc.subjectAcute myocardial infarctionen_US
dc.subjectElectrocardiogram (ECG) signal classificationen_US
dc.subjectFeature detectionen_US
dc.subjectKernel methoden_US
dc.subjectSupport vector machine (SVM)en_US
dc.subjectBiomedical engineeringen_US
dc.subjectCardiologyen_US
dc.subjectDiseasesen_US
dc.subjectElectrocardiographyen_US
dc.subjectHearten_US
dc.subjectSupport vector machinesen_US
dc.subjectDiagnosisen_US
dc.titleAkut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısıen_US
dc.title.alternativeEarly diagnosis of acute coronary syndromes with automatic ST/T classifieren_US
dc.typeConference Paperen_US

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