Yeşim Serinağaoğlu Doğrusöz

E-mail

yserin@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-5926-644X

Scopus Author ID

6506978932

Web of Science Researcher ID

D-3666-2011

Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problem Serinağaoğlu Doğrusöz, Yeşim; Bear, L.R.; Bergquist, J.A.; Rababah, A.S.; Good, W.; Stoks, J.; Svehlikova, J.; van Dam, E.; Brooks, D.H.; MacLeod, R.S. (2024-09-24) Objective.This study aims to assess the sensitivity of epicardial potential-based electrocardiographic imaging (ECGI) to the removal or interpolation of bad leads.Approach.We utilized experimental data from two distinct ce...
PULSE: A DL-assisted physics-based approach to the inverse problem of electrocardiography Ugurlu, Kutay; Akar, Gözde; Serinağaoğlu Doğrusöz, Yeşim (2024-01-01) This study introduces an innovative approach combining deep-learning techniques with classical physics-based electrocardiographic imaging (ECGI) methods. Our objective is to enhance the accuracy and robustness of ECGI reco...
Effects of Torso Inhomogeneities on Spontaneous PVC Localization in Potential and Dipole-Based Methods Rasoolzadeh, Nika; Ondrusova, Beata; Serinağaoğlu Doğrusöz, Yeşim; Svehlikov, Jana (2023-01-01) The use of electrocardiographic imaging for the localization of the undesired premature ventricular contraction needs a torso volume conductor definition. This study aims to investigate the specific effect of lung and bloo...
Comparison of dipole-based and potential-based ECGI methods for premature ventricular contraction beat localization with clinical data Serinağaoğlu Doğrusöz, Yeşim; Rasoolzadeh, Nika; Ondrusova, Beata; Hlivak, Peter; Zelinka, Jan; Tysler, Milan; Svehlikova, Jana (2023-01-01) Introduction: Localization of premature ventricular contraction (PVC) origin to guide the radiofrequency ablation (RFA) procedure is one of the prominent clinical goals of non-invasive electrocardiographic imaging. However...
Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans Serinağaoğlu Doğrusöz, Yeşim; Rasoolzadeh, Nika; Ondrusova, Beata; Hlivak, Peter; Svehlikova, Jana (2023-01-01) The signal averaging approach applied to the clinical body surface potential measurements was studied and evaluated for localizing the spontaneous premature ventricular contractions (PVC) on the data of three patients. For...
The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity Rababah, Ali S.; Bear, Laura R.; Serinağaoğlu Doğrusöz, Yeşim; Good, Wilson; Bergquist, Jake; Stoks, Job; MacLeod, Rob; Rjoob, Khaled; Jennings, Michael; Mclaughlin, James; Finlay, Dewar D. (2021-09-01) Electrocardiographic imaging is an imaging modality that has been introduced recently to help in visualizing the electrical activity of the heart and consequently guide the ablation therapy for ventricular arrhythmias. One...
Comparison of Dipole-Based and Potential-Based Inverse ECG Solutions for the Localization of Ventricular Pacing Sites Serinağaoğlu Doğrusöz, Yeşim; Zelinka, Jan; Svehlikova, Jana (2021-05-17) Two different inverse methods were applied to the two sets of well-defined data from tank experiments to assess the pacing electrode's position by the inverse solution. The use of a simple dipole as the equivalent heart ge...
The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions Bear, Laura R.; Serinağaoğlu Doğrusöz, Yeşim; Good, Wilson; Svehlikova, Jana; Coll-Font, Jaume; van Dam, Eelco; MacLeod, Rob (2021-02-01) Goal: To evaluate state-of-the-art signal processing methods for epicardial potential-based noninvasive electrocardiographic imaging reconstructions of single-site pacing data. Methods: Experimental data were obtained from...
A Novel Data-Adaptive Regression Framework Based on Multivariate Adaptive Regression Splines for Electrocardiographic Imaging Onak, Onder Nazm; Erenler, Taha; Serinağaoğlu Doğrusöz, Yeşim (2021-01-01) IEEEObjective: Noninvasive electrocardiographic imaging (ECGI) is a promising tool for revealing crucial cardiac electrical events with diagnostic potential. We propose a novel nonparametric regression framework based on m...
Compensation of Model Errors in Electrocardiographic Imaging Using Bayesian Estimation Aldemir, Furkan; Serinağaoğlu Doğrusöz, Yeşim (2021-01-01) Bayesian Maximum a Posteriori (MAP) estimation has been successfully applied to electrocardiographic imaging (ECGI). However, in most studies, MAP deals only with the measurement noise and ignores the forward model errors....

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