Literature DB >> 18954610

Using inverse electrocardiography to image myocardial infarction--reflecting on the 2007 PhysioNet/Computers in Cardiology Challenge.

Fady Dawoud1, Galen S Wagner, George Moody, B Milan Horácek.   

Abstract

The goal of the 2007 PhysioNet/Computers in Cardiology Challenge was to try to establish how well it is possible to characterize the location and extent of old myocardial infarcts using electrocardiographic evidence supplemented by anatomical imaging information. A brief overview of the challenge and how different challengers approached the competition is provided, followed by detailed response of the first author to integrate electrophysiologic and anatomical data. The first author used the provided 120-electrode body-surface potential mapping data and magnetic resonance imaging heart and torso images to calculate epicardial potentials on customized ventricular geometries. A method was developed to define the location and extent of scar tissue based on the morphology of computed epicardial electrograms. Negative Q-wave deflection followed by R-wave on the left ventricular surface seemed to correspond with the location of the scar as determined by the gadolinium-enhanced magnetic resonance imaging gold standard in the supplied data sets. The method shows promising results as a noninvasive imaging tool to quantitatively characterize chronic infarcts and warrants further investigation on a larger patient data set.

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Year:  2008        PMID: 18954610     DOI: 10.1016/j.jelectrocard.2008.07.022

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  4 in total

1.  CSE database: extended annotations and new recommendations for ECG software testing.

Authors:  Radovan Smíšek; Lucie Maršánová; Andrea Němcová; Martin Vítek; Jiří Kozumplík; Marie Nováková
Journal:  Med Biol Eng Comput       Date:  2016-12-31       Impact factor: 2.602

2.  Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach.

Authors:  Azar Rahimi; John Sapp; Jingjia Xu; Peter Bajorski; Milan Horacek; Linwei Wang
Journal:  IEEE Trans Med Imaging       Date:  2015-08-04       Impact factor: 10.048

3.  Noninvasive electrocardiographic imaging of chronic myocardial infarct scar.

Authors:  B Milan Horáček; Linwei Wang; Fady Dawoud; Jingjia Xu; John L Sapp
Journal:  J Electrocardiol       Date:  2015-08-28       Impact factor: 1.438

Review 4.  A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction Using Electrocardiogram and Electronic Health Records.

Authors:  Sardar Ansari; Negar Farzaneh; Marlena Duda; Kelsey Horan; Hedvig B Andersson; Zachary D Goldberger; Brahmajee K Nallamothu; Kayvan Najarian
Journal:  IEEE Rev Biomed Eng       Date:  2017-10-16
  4 in total

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