0000000000446969

AUTHOR

Eduardo J Godoy

0000-0001-5625-2846

showing 3 related works from this author

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

2015

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 th…

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
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Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study

2018

[EN] Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with an acceptable long-term success. Although the location of ectopic foci tends to appear in specific hot-spots, they can be located virtually in any atrial region. Multi-electrode surface ECG systems allow acquiring dense body surface potential maps (BSPM) for non-invasive therapy planning of cardiac arrhythmia. However, the activation of the atria could be affected by fibrosis and therefore biomarkers based on BSPM need to take these effects into account. We aim to analyze the effect of fibrosis on a BSPM derived index, and its potential application to predict the location of ectopic foci in the …

Ectopic focus locationmedicine.medical_specialtyFocus (geometry)Physiologymedicine.medical_treatment0206 medical engineeringAtrial tachycardiaStructural remodelingBody surface potential map02 engineering and technologyOptimal electrode location030204 cardiovascular system & hematology3d simulationlcsh:PhysiologyTECNOLOGIA ELECTRONICA03 medical and health sciences0302 clinical medicineFibrosisPhysiology (medical)Internal medicineMedicineMachine-learningAtrial tachycardiaOriginal Researchlcsh:QP1-981business.industryCardiac electrophysiologyCardiac arrhythmiaTorsoAblationmedicine.disease020601 biomedical engineeringmedicine.anatomical_structureCardiologymedicine.symptombusinessFrontiers in Physiology
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