Browsing by Keywords "Electrocardiography"

Now showing items 1-9 of 9

    • Akut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısı 

      Terzi, M. Begüm; Arıkan, Orhan; Abacı, A.; Candemir, M.; Dedoğlu, Mehmet (IEEE, 2014-10)
      In 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 ...

    • Assessment of information redundancy in ECG signals 

      Acar, Burak; Özçakır, Lütfü; Köymen, Hayrettin (IEEE, 1997-09)
      In this paper, the morphological information redundancy in standard 12 lead ECG channels is studied. Study is based on decomposing the ECG channels into orthogonal channels by an SVD based algorithm and then reconstructing ...

    • Concept of T-wave morphology dispersion 

      Acar, Burak; Yi, G.; Malik, M. (IEEE, 1999)
      The detection of ventricular repolarization abnormalities is widely being done using the QT interval measurements. However, there are both technical and theoretical problems with QT measurements. We propose two robust ...

    • Ischemic stroke phenotype in patients with nonsustained atrial fibrillation 

      Arsava, E. M.; Bas, D. F.; Atalar, Ergin; Has, A. C.; Oguz, K. K.; Topcuoglu, M. A. (Lippincott Williams and Wilkins, 2015)
      Background and Purpose: The widespread use of ambulatory cardiac monitoring has not only increased the detection of high-risk arrhythmias like persistent and paroxysmal atrial fibrillation (AF), but also made it possible ...

    • Model based analysis of the variation in Korotkoff sound onset time during exercise 

      Türkmen, A.; Ider, Y. Z. (Institute of Physics Publishing, 2001)
      In this study, a minimal mathematical model of the cardiovascular system is used to study the effects of changes in arterial compliance and cardiac contractility on the onset time of Korotkoff sounds during an auscultatory ...

    • Online exercise ECG signal orthogonalization 

      Acar, B.; Köymen H. (1996)
      In this paper an efficient method of making use of the redundancy in standard 12 lead ECG signals to eliminate noise is described. The method is based on orthogonalization via online Singular Value Decomposition (SVD). Its ...

    • Supervised machine learning algorithm for arrhythmia analysis 

      Güvenir, H. Altay; Acar, Burak; Demiröz, Gülşen; Çekin, A. (IEEE, 1997)
      A new machine learning algorithm for the diagnosis of cardiac arrhythmia from standard 12 lead ECG recordings is presented. The algorithm is called VFI5 for Voting Feature Intervals. VFI5 is a supervised and inductive ...

    • SVD-based on-line exercise ECG signal orthogonalization 

      Acar, B.; Köymen, Hayrettin (Institute of Electrical and Electronics Engineers, 1999-03)
      An orthogonalization method to eliminate unwanted signal components in standard 12-lead exercise electrocardiograms (ECG's) is presented in this work. A singular-value-decomposition-based algorithm is proposed to decompose ...

    • A window-based time series feature extraction method 

      Katircioglu-Öztürk, D.; Güvenir, H. A.; Ravens, U.; Baykal, N. (Elsevier, 2017)
      This study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and ...