Key result
Spatio-temporal body surface potential reconstruction improves TMV correlation ~32% and halves localization error vs Tikhonov-Greensite.
Why the study?
Does a spatio-temporal basis of body surface potentials improve the reconstruction quality and localization of atrial ectopic foci compared to the Tikhonov-Greensite method in simulations?
Does a spatio-temporal basis of body surface potentials improve the reconstruction quality and localization of atrial ectopic foci compared to the Tikhonov-Greensite method in simulations?
Answers are grounded in this paper and cite their sources.
A novel spatio-temporal basis reconstruction method for electrocardiographic imaging improves the accuracy and robustness of localizing atrial ectopic activity in simulations, particularly at low signal-to-noise ratios.
Electrocardiographic imaging (ECGI) strongly relies on a priori assumptions and additional information to overcome ill-posedness. The major challenge of obtaining good reconstructions consists in finding ways to add information that effectively restricts the solution space without violating properties of the sought solution. In this work, we attempt to address this problem by constructing a spatio-temporal basis of body surface potentials (BSP) from simulations of many focal excitations. Measured BSPs are projected onto this basis and reconstructions are expressed as linear combinations of corresponding transmembrane voltage (TMV) basis vectors. The novel method was applied to simulations of 100 atrial ectopic foci with three different conduction velocities. Three signal-to-noise ratios (SNR) and bases of six different temporal lengths were considered. Reconstruction quality was evaluated using the spatial correlation coefficient of TMVs as well as estimated local activation times (LAT). The focus localization error was assessed by computing the geodesic distance between true and reconstructed foci. Compared with an optimally parameterized Tikhonov-Greensite method, the BSP basis reconstruction increased the mean TMV correlation by up to 22, 24, and 32% for an SNR of 40, 20, and 0 dB, respectively. Mean LAT correlation could be improved by up to 5, 7, and 19% for the three SNRs. For 0 dB, the average localization error could be halved from 15.8 to 7.9 mm. For the largest basis length, the localization error was always below 34 mm. In conclusion, the new method improved reconstructions of atrial ectopic activity especially for low SNRs. Localization of ectopic foci turned out to be more robust and more accurate. Preliminary experiments indicate that the basis generalizes to some extent from the training data and may even be applied for reconstruction of non-ectopic activity.
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Schuler et al. (2018) studied Atrial ectopic activity (n=100). Spatio-temporal basis of body surface potentials (BSP basis reconstruction) vs. Tikhonov-Greensite method was evaluated on Spatial correlation coefficient of transmembrane voltages (TMVs) and focus localization error. Spatio-temporal body surface potential basis reconstruction increased mean transmembrane voltage correlation by up to 32% and halved average localization error from 15.8 to 7.9 mm at 0 dB SNR compared to the Tikhonov-Greensite method.
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