Key result
An inverse solver for activation times using an adaption scheme for excitation conduction velocities improved the mean relative error of ECVs from 0.3228 to 0.2715 compared to without the adaption.
Absolute Event Rate: 0.2715% vs 0.3228%
A novel computational method incorporating excitation conduction velocities improves the accuracy of solving the inverse problem of electrocardiography.
An exact diagnosis of the heart's electrophysiological behaviour is currently linked to invasive catheter interventions. A reconstruction of electrophysiological properties from non-invasive ECG data would be preferred. This requires solving the so-called inverse problem of electrocardiography which, however, is strongly underdetermined. Therefore, it needs a priori knowledge to be solvable in a reliable manner. This paper presents a method to calculate excitation conduction velocities (ECV) from activation times and an implementation into an inverse solver of activation times. The sole calculation of ECVs achieved a mean relative error of 0.0916 0.0744. In addition, an inverse solver for activation times is tested with an adaption scheme for the related ECVs and without. The resulting mean relative error of the ECVs improved from 0.3228 0.2768 to 0.2715 0.2318 using the adaption of ECVs.
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Rudolph et al. (2012) studied Electrophysiological behavior of the heart. Adaption scheme for excitation conduction velocities (ECVs) in an inverse solver vs. Inverse solver without adaption scheme was evaluated on Mean relative error of the ECVs. An inverse solver for activation times using an adaption scheme for excitation conduction velocities improved the mean relative error of ECVs from 0.3228 to 0.2715 compared to without the adaption.
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