Greedy Selection of the Torso Electrodes for the Solution of Inverse Problem with a Single Dipole

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Abstract

Many torso electrodes are used to solve the inverse problem of electrocardiography. We investigate which ones are the most important based on 4 different criteria. Body surface potential measurements in 128 and 192 electrodes from one patient-specific (Bratislava) and two torso tank experimental datasets (Bordeaux, Utah) with the known position of the ventricular stimulation were used as a testbed to analyse inverse solutions with a single dipole. Electrode sets were constructed incrementally according to the singular value decomposition of the transfer matrix. Electrode sets were chosen for 4 optimality criteria: A) minimized condition number, B) maximized product of singular values, C) maximized sum of singular values and D) joint criterion of A and B. Starting from the initial set of 4 best electrodes, the electrode set was incrementally enlarged by a single electrode at a time in a greedy manner. The accuracy of the inverse solution was determined by the localization error (LE). For Bratislava, the best results were achieved for C and D, with LE decreasing to 7.1 mm and 7.5 mm (10% and 13% of electrodes). The LE with all electrodes used was 16.0 mm, suggesting beneficial effects of the sparsity enforcement in the electrode space. For Bordeaux the best results were obtained for A (LE 12.3 mm) and Utah for C (LE 14.2 mm).

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Ondrusova, B., Svehlikova, J., Tysler, M., & Tino, P. (2022). Greedy Selection of the Torso Electrodes for the Solution of Inverse Problem with a Single Dipole. In Computing in Cardiology (Vol. 2022-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2022.279

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