Spatio-Temporal Solutions in Inverse Electrocardiography

2008-11-27
Conventional electrocardiography (ECG) is an essential tool for investigating cardiac disorders such as arrhythmias or myocardial infarction. It involves interpretation of potentials recorded at the body surface that occur due to the electrical activity of the heart. Estimation of epicardial potentials from these recorded signals is known as inverse problem of ECG. It is difficult to solve this problem for effective cardiac imaging due to the ill-posed nature and high dimensionality of the problem. There are many solution approaches in order to cope with these difficulties. We used Tikhonov regularization and Bayesian Maximum A Posteriori (MAP) estimation methods in this study. The traditional approach is to solve the problem at each time instant separately (column sequential approach). This is the fastest and easiest approach; however it does not include temporal correlations of the epicardial potentials. Greensite (2002) proposed certain specific assumptions about structures inherent in the problem formulation that allow the use of spatial and temporal constraints simultaneously. In this study, we applied this framework to solve the spatiotemporal inverse ECG problem. We first applied a temporal whitening filter to the original problem. The new set of equations, which became temporally decorrelated, was solved using the column sequential approach. The desired solution was obtained by transforming the result back into the original domain. In the spatiotemporal Bayesian MAP approach, the covariance matrix also changes after the application of the whitening transformation. We also derived an expression for the new covariance matrix in terms of the transformation matrix and the original covariance matrix of the epicardial potentials.
4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE)

Suggestions

Evaulation of spatial and spatio-temporal regularization approaches in inverse problem of electrocardiography
Önal, Murat; Serinağaoğlu Doğrusöz, Yeşim; Department of Electrical and Electronics Engineering (2008)
Conventional electrocardiography (ECG) is an essential tool for investigating cardiac disorders such as arrhythmias or myocardial infarction. It consists of interpretation of potentials recorded at the body surface that occur due to the electrical activity of the heart. However, electrical signals originated at the heart suffer from attenuation and smoothing within the thorax, therefore ECG signal measured on the body surface lacks some important details. The goal of forward and inverse ECG problems is to r...
Flow-induced vibration analysis of constricted artery models with surrounding soft tissue
Salman, Huseyin Enes; Yazıcıoğlu, Yiğit (2017-10-01)
Arterial stenosis is a vascular pathology which leads to serious cardiovascular diseases. Blood flow through a constriction generates sound and vibration due to fluctuating turbulent pressures. Generated vibro-acoustic waves propagate through surrounding soft tissues and reach the skin surface and may provide valuable insight for noninvasive diagnostic purposes. Motivated by the aforementioned phenomena, vibration of constricted arteries is investigated employing computational models. The flow-induced press...
STATISTICAL MODELING OF THE GEOMETRIC ERROR IN CARDIAC ELECTRICAL IMAGING
Aydin, Umit; Serinağaoğlu Doğrusöz, Yeşim (2009-07-01)
Kalman filter approach provides a natural way to include the spatio-temporal prior information in cardiac electrical imaging. This study focuses on the performance of Kalman filter approach with geometric errors present in inverse Electrocardiography (ECG) problem. The geometric errors considered here are the wrong determination of the heart's size and location. In addition to Kalman filtering, we also compare the performances of Tikhonov regularization and Bayesian MAP estimation when geometric errors are ...
Association analysis of cholesterol 7-alpha hydroxylase (CYP7A1)and cholesterol 24-hydroxlase (CYP46A1) genetic polymorphisms and multiple sclerosis risk in Turkish population
Sezer, Eda; Kaya, Zeki; Department of Molecular Biology and Genetics (2019)
Multiple Sclerosis (MS) is the most common demyelinating disorder of the central nervous system. Under the effects of certain environmental factors, MS develops in genetically susceptible individuals. People with MS have significantly lower vitamin D levels. UV-B radiation catalyzes the photo-conversion of 7-dehydrocholesterol, produced in cholesterol production pathway, to vitamin D in the skin. Cholesterol 7α-hydroxylase (CYP7A1) in the liver and Cholesterol 24S-hydroxylase (CYP46A1) in the brain are resp...
Multiwalled Carbon Nanotube- Poly(2-Hydroxyethyl Methacrylate) Composite Conduitfor Peripheral Nerve Repair
Arslantunalı, Damla; Arslantunalı Şahin, Damla; Department of Biotechnology (2012)
There are different methods used in the surgical treatment of peripheral nerve injury. In this respect, end-to-end surgical reconnection of the damaged nerve ends or autologous nerve grafts are applied as soon as possible after the injury. When autologous tissue transplant is considered, there are some medical devices available generally for relatively short nerve defects. As a solution for this problem, different tissue engineered nerve conduits have been developed. In the current study, a pHEMA hydrogel m...
Citation Formats
M. Onal and Y. Serinağaoğlu Doğrusöz, “Spatio-Temporal Solutions in Inverse Electrocardiography,” Antwerp, BELGIUM, 2008, vol. 22, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55687.