Electrocardiographic imaging including intracardiac information to achieve accurate global mapping during atrial fibrillation. (February 2021)

• Record Type: Journal Article
• Authors: Cámara-Vázquez, Miguel Ángel; Hernández-Romero, Ismael; Rodrigo, Miguel; Alonso-Atienza, Felipe; Figuera, Carlos; Morgado-Reyes, Eduardo; Atienza, Felipe; Guillem, María S.; Climent, Andreu M.; Barquero-Pérez, Óscar
• Is Part Of: Biomedical signal processing and control. Volume 64(2021)
• Publication Date: 2021-02
• Subjects: Atrial fibrillation -- ECG imaging -- Inverse problem -- Epicardial potentials -- Dominant frequency -- Rotor location; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2020.102354
• Languages: English
• ISSNs: 1746-8094

Abstract

Abstract: Atrial fibrillation (AF) is characterized by complex and irregular propagation patterns. Noninvasive electrocardiographic imaging (ECGI) has been tested during AF conditions with promising results. However, current regularization methods face important challenges in this type of unstable electrical activity scenarios. Combination of intracardiac and non-invasive simultaneous recordings could improve ECGI performance and allow real-time global mapping of complex AF patterns. In this work, we propose an ECGI method that incorporates intracardiac measurements as a constraint in a reformulation of the classical Tikhonov method. We used realistic mathematical models of atria and torso that simulates a wide number of epicardial electrical activity patterns. Body surface potentials were obtained from simulated electrograms (EGMs) by using Boundary Element Method and corrupted with Gaussian noise. Epicardial potentials were estimated using inverse problem with Tikhonov regularization, including intracavitary information as a second constraint. Results showed that first-order Constrained Tikhonov formulation provided more reliable reconstructions than the classical Tikhonov approach in AF conditions using at least 32 uniformly distributed endocardial EGMs (CC between 0.87 and 0.28, depending on the AF complexity). Constrained Tikhonov provided more accurate spatial mass functions (SMF) of PS locations (CCSMF between 0.24 and 0.86). This methodology was tested on real patient data, obtaining a mean DF RMSE of 0.85 Hz, outperforming the classical Tikhonov approach. Limitations of this study include the fact that the model considered endocardium and epicardium as a single layer. Further research will include endocardium–epicardium bilayer model approximations and validation using more real patient data. Graphical abstract: Highlights: Constrained Tikhonov provides better ECGI reconstructions in Atrial Fibrillation. This method provides more accurate locations of Phase Singularities. DF estimation in real patient data is also better than classical Tikhonov approach. Including intracardiac information in ECGI allows a better mapping of AF drivers.