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The forward problem of electrocardiography aims at obtaining a better understanding of cardiac electrophysiological activities, by means of computer modeling and simulation. Whereas, the inverse electrocardiographic problem provides a direct insight of electrical sources into the heart without interventional procedures. Nowadays, the forward and inverse problems are mostly solved in static models,...
Acute myocardial infarction is one of the leading causes of morbidity and mortality all over the world. Therefore, it is of very high importance to detect myocardial infarction effectively and accurately in its early phase with an efficient method. Electrocardiogram provides a non-invasive and inexpensive way for diagnosis of myocardial infarction through seeking for the ischemic syndromes in ECG,...
Solving the forward problem of electrocardiography provides a better understanding of electrical activities in the heart. The inverse problem of electrocardiography enables a direct view of cardiac sources without catheter interventions. Today the forward and inverse computation is most often performed in a static model, which doesnpsilat take into account the heart motion and may result in considerable...
In the present work the epicardial potential distribution for an individual patient provided by the solution of the linear inverse problem of electrocardiography are shown. To obtain the solution, the Twomey regularization as well as the stochastic regularization were used. Both methods require a priori estimations. These estimations were provided by means of simulation of the cardiac activity on...
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