A priori model independent inverse potential mapping: the impact of electrode positioning

Abstract

IntroductionIn inverse potential mapping, local epicardial potentials are computed from recorded body surface potentials (BSP). When BSP are recorded with only a limited number of electrodes, in general biophysical a priori models are applied to facilitate the inverse computation. This study investigated the possibility of deriving epicardial potential information using only 62 torso electrodes in the absence of an a priori model.MethodsComputer simulations were used to determine the optimal in vivo positioning of 62 torso electrodes. Subsequently, three different electrode configurations, i.e., surrounding the thorax, concentrated precordial (30 mm inter-electrode distance) and super-concentrated precordial (20 mm inter-electrode distance) were used to record BSP from three healthy volunteers. Magnetic resonance imaging (MRI) was performed to register the electrode positions with respect to the anatomy of the patient. Epicardial potentials were inversely computed from the recorded BSP. In order to determine the reconstruction quality, the super-concentrated electrode configuration was applied in four patients with an implanted MRI-conditional pacemaker system. The distance between the position of the ventricular lead tip on MRI and the inversely reconstructed pacing site was determined.ResultsThe epicardial potential distribution reconstructed using the super-concentrated electrode configuration demonstrated the highest correlation (R = 0.98; p < 0.01) with the original epicardial source model. A mean localization error of 5.3 mm was found in the pacemaker patients.ConclusionThis study demonstrated the feasibility of deriving detailed anterior epicardial potential information using only 62 torso electrodes without the use of an a priori model.Electronic supplementary materialThe online version of this article (doi:10.1007/s00392-015-0891-7) contains supplementary material, which is available to authorized users.

German Cardiac Society Working Group on Cellular Electrophysiology state-of-the-art paper: impact of molecular mechanisms on clinical arrhythmia management

“…(6) Do hIPSC-CM recapitulate basic findings on cAMP/PKA-mediated contribution to heart pathophysiology? (7) Can hIPSC-CM be used as a model to study human atrial electrophysiology [161]?…”

“…In parallel, there have been amazing considerable developments in treatment options with significant pharmacological and technological advances, including catheter ablation and device-based therapies [3][4][5][6][7][8]. However, progress has been largely based on empirical rather than targeted mechanism-based approaches.…”

Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation

“…The position and displacement of the electrodes remain important, as shown in the results and described by van der Graaf et al, 2016 . Nevertheless, some studies provided results that the optimal position for placing the electrodes is not unique, which matches the study ( Lux et al, 1978 ).…”

“…Firstly, surface electrodes placed over the torso are used to record electrical signals. Additionally, the heart geometry is usually obtained from medical images (magnetic resonance imaging or axial computerized tomography) ( Salinet et al, 2021 ), and the torso geometry can be derived from photogrammetry ( Rodrigo et al, 2018 ), with latter reconstruction creating triangular or polygonal meshes ( van der Graaf et al, 2016 ). Once these elements are acquired, the inverse problem can be solved and epicardial potentials are estimated, which can be used to compute dominant frequencies or rotor-related metrics ( Rodrigo et al, 2017a ).…”

Influence of Torso Model Complexity on the Noninvasive Localization of Ectopic Ventricular Activity

“…The amount and positions of BSPM leads required for accurate inverse solution was studied by van der Graaf, Lux and Hoekema in [14], [15], [16]. They showed that if limited number of leads (24 -64) is used, they should be placed non-uniformly on both, anterior and posterior sides of the torso with highest density on the left anterior chest where the surface electrical potential has the highest gradients.…”