A Parameter Optimization to Solve the Inverse Problem in Electrocardiography

Abstract : The main challenge of electrocardiography is to retrieve the best possible electrical information from body surface electrical potential maps. The most common methods reconstruct epicardial potentials. Here we propose a method based on a parameter identification problem to reconstruct both activation and repolarization times. The shape of an action potential (AP) is well known and can be described as a parameterized function. From the parameterized APs we compute the electrical potentials on the torso. The inverse problem is reduced to the identification of all the parameters. The method was tested on in silico and experimental data, for single ventricular pacing. We reconstructed activation and repolarization times with good accuracy accurate (CC between 0.71 and 0.9).
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FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, Jun 2017, Toronto, Canada. Springer, Lecture Notes in Computer Science, 10263, pp.219-229, 2017, Functional Imaging and Modelling of the Heart 〈10.1007/978-3-319-59448-4_21〉
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Gwladys Ravon, Rémi Dubois, Yves Coudière, Mark Potse. A Parameter Optimization to Solve the Inverse Problem in Electrocardiography. FIMH 2017 - 9th International Conference on Functional Imaging and Modelling of the Heart, Jun 2017, Toronto, Canada. Springer, Lecture Notes in Computer Science, 10263, pp.219-229, 2017, Functional Imaging and Modelling of the Heart 〈10.1007/978-3-319-59448-4_21〉. 〈hal-01572076〉

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