Abstract
One of the essential diagnostic tools of cardiac arrhythmia is activation mapping. Noninvasive current mapping procedures include electrocardiographic imaging. It allows reconstructing heart surface potentials from measured body surface potentials. Then, activation maps are generated using the heart surface potentials. Recently, a study suggests to deploy artificial neural networks to estimate activation maps directly from body surface potential measurements. Here we carry out a comparative study between the data-driven approach DirectMap and noninvasive classic technique based on reconstructed heart surface potentials using both Finite element method combined with L1-norm regularization (FEM-L1) and the spatial adaptation of Time-delay neural networks (SATDNN-AT). In this work, we assess the performance of the three approaches using a synthetic single paced-rhythm dataset generated on the atria surface. The results show that data-driven approach DirectMap quantitatively outperforms the two other methods. In fact, we observe an absolute activation time error and a correlation coefficient, respectively, equal to 7.20 ms, 93.2% using DirectMap, 14.60 ms, 76.2% using FEM-L1 and 13.58 ms, 79.6% using SATDNN-AT. In addition, results show that data-driven approaches (DirectMap and SATDNN-AT) are strongly robust against additive gaussian noise compared to FEM-L1.
Highlights
Cardiac activation mapping is an important tool for guiding medical treatments of different cardiac pathologies such as atrial fibrillation and ventricular tachycardia
A comparison study is conducted between DirectMap, SATDNN-activation time (AT) and Finite element method combined with L1-norm regularization (FEM-L1)
In terms of cardiac activation mapping, DirectMap achieves an improvement of nearly 7 ms in absolute error and, respectively, 10%, 17% in terms of correlation coefficient compared to SATDNN-AT and FEM-L1
Summary
Cardiac activation mapping is an important tool for guiding medical treatments (catheter ablation) of different cardiac pathologies such as atrial fibrillation and ventricular tachycardia. It consists of inserting a catheter into the cardiac chambers and recording the electrical activity of the tissue at a given location. The chosen technique depends on the signal nature: unipolar or bipolar. These activation times are interpolated to create a complete activation map of the heart chamber that helps the doctors localizing the target sites for catheter ablation
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