Research

Visit the Heart Research Laboratory Web Page

Research Interests:

Electrocardiographic imaging

  • Modeling of electrical activity of the heart.
  • Forward problem of electrocardiography.
  • Inverse problem of electrocardiography.

Biomedical signal and image processing

  • Processing of ECG signals; feature extraction for arrhythmia classification; T-wave alternans.
  • Snoring sound analysis for obstructive sleep apnea detection.
  • Segmentation of medical images.

Grants:

National Founding Agencies

  • Principal Investigator, Funding agency: Scientific and Technological Research Council of Turkey (TUBITAK); Grant No: 118E244; “Application of Bayesian Estimation Methods to Electrocardiographic Imaging: Prior Model Selection and Reduction of Noise Effects,” 2018.
  • Principal Investigator, Funding agency: Scientific and Technological Research Council of Turkey (TUBITAK); Grant No: 111E258; “Non-invasive Imaging of Electrical Activity of the Heart in terms of 3 Dimensional Transmembrane Potential Distributions,” 4/2012 – 4/2015.
  • Principal Investigator, Funding agency: TUBITAK; Grant No: 105E070; “Inverse Electrocardiography: Statistical Estimation of Bioelectrical Sources of the Heart,” 1/2007 – 1/2010.

University Internal Funding

  • Principal Investigator, METU BAP-2008-R-08-11-15 “Database Generation for Snoring Sound Analysis,” 6/2008 – 5/2009.
  • Principal Investigator, METU BAP-2005-03-01-03 “Numerical Modeling of the Electrical Activity of the Heart,” 1/2005 – 12/2006.
  • Principal Investigator, METU BAP-2004-03-01-01 “Solution of Forward and Inverse Electrocardiography Problems using Realistic Heart and Torso Models,” 1/2004 – 12/2004.

Theses Supervised:

PhD Students

  1. Önder Nazım Onak, Ph.D., “Adaptive multivariate solution schemes for the inverse electrocardiography problem,” Graduate School of Applied Mathematics, METU, 2018.

MSc Students

  1. Taha Erenler, M.Sc., “Comparison of ML and MAP parameter estimation techniques for the solution of inverse electrocardiography problem,” Electrical and Electronics Engineering, METU, 2018.
  2. Erdem Yanar, “Reduction of false arrhythmia alarms on patient monitoring systems in intensive care units by using fuzzy logic algorithms,” Electrical and Electronics Engineering, METU, 2018
  3. Görkem Polat, “Classification of lung nodules in CT images using convolutional neural networks,” Electrical and Electronics Engineering, METU, 2018 (co-supervised by Dr. Ugur Halici)
  4. Sahar Habibiabad, “A new MEMS approach for spirometers,” Graduate Program of Biomedical Engineering, METU 2016 (co-supervised by Dr. İlker Beyaz)
  5. Muharrem Demiray, “A novel method for the quantification of coronary artery stenosis: a 2D QCA system,” Electrical and Electronics Engineering, METU, 2015 (co-supervised by Dr. Tulga Ulus)
  6. Mohammadreza Robaei, “Design and implementation of an ECG front end circuit,” Electrical and Electronics Engineering, METU, 2015
  7. Mir Mehdi Seyedebrahimi, “Simulation of transmembrane potential propagation in three dimensional ventricular tissue using Aliev Panfilov model,” Graduate Program of Biomedical Engineering, METU 2015 (co-supervised by Dr. Ferhat Eyyüpkoca)
  8. Gizem Bedir, “Forward problem of electrocardiography in terms of 3D transmembrane potentials using COMSOL,” Graduate Program of Biomedical Engineering, METU 2015 (co-supervised by Dr. Barbaros Çetin)
  9. Fourough Gharbalchi No, “Body surface lead reduction algorithm and its use in inverse problem of electrocardiography,” Graduate Program of Biomedical Engineering, METU, 2015 (co-supervised by Dr. Gerhard Wilhelm Weber)
  10. Alperen Güçlü, “Comparison of five regularization methods for the solution of inverse electrocardiography problem,” Electrical and Electronics Engineering, METU, 2013
  11. Ersin Karcı, “Detection of post apnea sounds and apnea periods from sleep sounds,” Electrical and Electronics Engineering, METU, 2011 (co-supervised by Dr. Tolga Çiloğlu)
  12. Ali Reza Mazloumi Gavgani, “Use of genetic algorithm for selection of regularization parameters in multiple constraint inverse ECG problem,” Electrical and Electronics Engineering, METU, 2011
  13. Sinan Öz, “Implementation of three segmentation algorithms for CT images of torso,” Electrical and Electronics Engineering, METU, 2011
  14. Ceren Bora, “A cellular automaton based electromechanical model of the heart,” Graduate Program of Biomedical Engineering, METU, 2010 (co-supervised by Dr. Ergin Tönük)
  15. Ali Bircan, “Solution of inverse electrocardiography problem using minimum relative entropy method,” Electrical and Electronics Engineering, METU, 2010
  16. Sedat Sarıkaya, “Combination of conventional regularization methods and genetic algorithms for solving the inverse problem of electrocardiography,” Graduate School of Applied Mathematics, METU, 2010 (co-supervised by Dr. Gerhard Wilhelm Weber)
  17. Ümit Aydın, “Solution of inverse problem of electrocardiography using state-space models,” Electrical and Electronics Engineering, METU, 2009
  18. Bengi Koç, “Detection and classification of QRS complexes from the ECG recordings,” Electrical and Electronics Engineering, METU, 2008
  19. Murat Önal, “Evaluation of spatial and spatio-temporal regularization approaches in inverse problem of electrocardiography,” Electrical and Electronics Engineering, METU, 2008
  20. Mustafa Çavuşoglu, “An efficient fast method of snore detection for sleep disorder investigation,” Electrical and Electronics Engineering, METU, 2007
  21. Volkan Tanrıverdi, “Removal of baseline wandering from the electrocardiogram,” Electrical and Electronics Engineering, METU, 2006
  22. Onur Ali Demirkol, “Segmentation of torso CT images,” Electrical and Electronics Engineering, METU, 2006
  23. Arda Kurt (co-supervisor), “Boundary element method formulation and its solution in forward problem of electrocardiography by using a realistic torso model,” Graduate School of Applied Mathematics, METU, 2006 (supervisor: Gerhard Wilhelm Weber)

 

 


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