Noninvasive estimation of atrial dominant frequency maps via the inverse problem of electrocardiography achieved an 8.8 ± 4.4% relative error, providing higher accuracy than temporal patterns.
Observational (n=4)
Does noninvasive estimation using the inverse problem of electrocardiography accurately reconstruct dominant frequency maps compared to intracardiac electrograms in patients with atrial fibrillation?
Noninvasive reconstruction of atrial frequency maps using the inverse problem of electrocardiography provides accurate estimation of dominant frequency, outperforming temporal distribution pattern reconstruction.
valor p: p=<0.01
INTRODUCTION: Ablation of high dominant frequency (DF) sources in patients with atrial fibrillation (AF) is an effective treatment option for paroxysmal AF. The aim of this study was to evaluate the accuracy of noninvasive estimation of DF and electrical patterns determination by solving the inverse problem of the electrocardiography. METHODS: Four representative AF patients with left-to-right and right-to-left atrial DF patterns were included in the study. For each patient, intracardiac electrograms from both atria were recorded simultaneously together with 67-lead body surface recordings. In addition to clinical recordings, realistic mathematical models of atria and torso anatomy with different DF patterns of AF were used. For both mathematical models and clinical recordings, inverse-computed electrograms were compared to intracardiac electrograms in terms of voltage, phase, and frequency spectrum relative errors. RESULTS: Comparison between intracardiac and inverse computed electrograms for AF patients showed 8.8 ± 4.4% errors for DF, 32 ± 4% for voltage, and 65 ± 4% for phase determination. These results were corroborated by mathematical simulations showing that the inverse problem solution was able to reconstruct the frequency spectrum and the DF maps with relative errors of 5.5 ± 4.1%, whereas the reconstruction of the electrograms or the instantaneous phase presented larger relative errors (i.e., 38 ± 15% and 48 ± 14 % respectively, P < 0.01). CONCLUSIONS: Noninvasive reconstruction of atrial frequency maps can be achieved by solving the inverse problem of electrocardiography with a higher accuracy than temporal distribution patterns.
Pedrón-Torrecilla et al. (Mon,) conducted a observational in Atrial fibrillation (n=4). Noninvasive estimation of dominant frequency by solving the inverse problem of electrocardiography vs. Intracardiac electrograms was evaluated on Relative errors in voltage, phase, and frequency spectrum compared to intracardiac electrograms (p=<0.01). Noninvasive estimation of atrial dominant frequency maps via the inverse problem of electrocardiography achieved an 8.8 ± 4.4% relative error, providing higher accuracy than temporal patterns.