Cardiac tissue conductivity estimation using confirmatory factor analysis

Impaired electrical conduction has been shown to play an important role in the development of heart rhythm disorders. Being able determine conductivity is localize arrhythmogenic substrate that causes abnormalities atrial tissue. In this work, we present algorithm estimate from epicardial electrograms (EGMs) using a high-resolution electrode array. With these arrays, it possible measure propagation extracellular potential cardiac tissue at multiple positions simultaneously. Given data, principle conductivity. However, ill-posed problem due large number unknown parameters electrophysiological data model. paper, make use effective method called confirmatory factor analysis (CFA), which apply cross correlation matrix CFA comes with identifiability conditions need be satisfied solve problem, is, case, estimation These can used find relationship between desired resolution and required amount data. Numerical experiments on simulated demonstrate proposed blocks also smoother variation conductivities. The values estimated clinical are line reported literature EGMs reconstructed based match well EGMs.