A Kalman filter-based approach to reduce the effects of geometric errors and the measurement noise in the inverse ECG problem

U Aydin, YS Dogrusoz - Medical & Biological Engineering & Computing, 2011 - Springer
In this article, we aimed to reduce the effects of geometric errors and measurement noise on
the inverse problem of Electrocardiography (ECG) solutions. We used the Kalman filter to …

On epicardial potential reconstruction using regularization schemes with the L1-norm data term

G Shou, L Xia, F Liu, M Jiang… - Physics in Medicine & …, 2010 - iopscience.iop.org
The electrocardiographic (ECG) inverse problem is ill-posed and usually solved by
regularization schemes. These regularization methods, such as the Tikhonov method, are …

TV regularized low-rank framework for localizing premature ventricular contraction origin

L Fang, Q Zhuang, W Mao, Y Chen, H Liu - IEEE Access, 2019 - ieeexplore.ieee.org
Premature ventricular contraction (PVC) can cause great harm to human health. Both
invasive and non-invasive techniques for detecting electrical activity of PVC or locating …

A learning based statistical approach for combining multiple measurements in electrocardiographic imaging

T Erenler, YS Doğrusöz - 2018 Computing in Cardiology …, 2018 - ieeexplore.ieee.org
Kalman filter has been applied in literature to inverse electrocardiography problem as a
spatio-temporal method. However, there is still an open question of how the essential …

Comparison of ML and MAP parameter estimation techniques for the solution of inverse electrocardiography problem

T Erenler - 2018 - open.metu.edu.tr
This study aims to determine the cardiac electrical activity from body surface potential
measurements. This problem is called the inverse problem of electrocardiography …

Comparison of five regularization methods for the inverse electrocardiography problem

A Güçlü - 2013 - open.metu.edu.tr
Understanding heart's electrical activity is very important because coronary problems-such
as heart attacks, arrhythmia and stroke-are the leading cause of death in the world. Forward …

Comparison of bayesian map estimation and kalman filter methods in the solution of spatio-temporal inverse ecg problem

Ü Aydın, Y Serinağaoğlu - World Congress on Medical Physics and …, 2009 - Springer
In this study, spatial only, and spatio-temporal Bayesian Maximum a Posteriori (MAP)
methods and an another spatio-temporal method, the Kalman filter approach, are used to …

Comparison of Kalman filter and Bayesian-MAP approaches in the spatio-temporal solution of the inverse electrocardiography

Ü Aydın, Y Serinağaoğlu - 2010 15th National Biomedical …, 2010 - ieeexplore.ieee.org
In this study some of the spatial and spatio-temporal methods for the solution of the inverse
problem of electrocardiography (ECG) are compared with each other. Comparisons are also …

Implementation of the minimum relative (cross) entropy method for the solution of inverse ECG problem

A Bircan, Y Serinağaoğlu - 2010 15th National Biomedical …, 2010 - ieeexplore.ieee.org
Minimum relative (cross) entropy method can be used to solve linear inverse
electrocardiography (ECG) problem. Inverse ECG problem has a form d= Gm where m is a …

Solution of inverse electrocardiography problem using minimum relative entropy method

A Bircan - 2010 - open.metu.edu.tr
The interpretation of heart's electrical activity is very important in clinical medicine since
contraction of cardiac muscles is initiated by the electrical activity of the heart. The …