6533b81ffe1ef96bd1277b66

RESEARCH PRODUCT

Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

Ana FerrerRafael SebastiánDamián Sánchez-quintanaDamián Sánchez-quintanaJosé F RodríguezEduardo J GodoyLaura MartínezJavier Saiz

subject

Models Anatomicmedicine.medical_specialtyBODY-SURFACEVOLUME CONDUCTORCANINE RIGHTlcsh:MedicineTECNOLOGIA ELECTRONICAInternal medicineAtrial FibrillationBody surfacemedicineHumansSinus rhythmHeart Atrialcsh:ScienceFibrillationMultidisciplinaryP-WAVEmedicine.diagnostic_testbusiness.industrylcsh:RBody Surface Potential MappingP waveTorsoAtrial fibrillationAnatomyTorsoAtrial Functionmedicine.diseaseHUMAN HEARTRATE-DEPENDENCEElectrophysiologymedicine.anatomical_structurecardiovascular systemCardiologylcsh:QFIBRILLATIONmedicine.symptomSINUS RHYTHMbusinessElectrocardiographyCONDUCTION-VELOCITYResearch ArticleACTION-POTENTIALS

description

Atrial arrhythmias, and specifically atrial fibrillation (AF), induce rapid and irregular activation patterns that appear on the torso surface as abnormal P-waves in electrocardiograms and body surface potential maps (BSPM). In recent years both P-waves and the BSPM have been used to identify the mechanisms underlying AF, such as localizing ectopic foci or high-frequency rotors. However, the relationship between the activation of the different areas of the atria and the characteristics of the BSPM and P-wave signals are still far from being completely understood. In this work we developed a multi-scale framework, which combines a highly-detailed 3D atrial model and a torso model to study the relationship between atrial activation and surface signals in sinus rhythm. Using this multi scale model, it was revealed that the best places for recording P-waves are the frontal upper right and the frontal and rear left quadrants of the torso. Our results also suggest that only nine regions (of the twenty-one structures in which the atrial surface was divided) make a significant contribution to the BSPM and determine the main P-wave characteristics.

10.13039/501100003359http://hdl.handle.net/10251/64804